Artificial Intelligence (AI) Market

Artificial Intelligence (AI) Market by Offering (Discriminative AI, Generative AI, Hardware, Services), Technology (ML, NLP, Context-aware AI, Computer Vision), Business Function (Marketing & Sales, HR), Vertical and Region - Global Forecast to 2030

Report Code: TC 7894 May, 2024, by marketsandmarkets.com

[636 Pages Report] The Artificial Intelligence (AI) market is witnessing a rapid growth trajectory, with estimates projecting a substantial market value surge from approximately USD 214.6 billion in 2024 to USD 1,339.1 billion by 2030. This phenomenal upward trend, characterized by a remarkable CAGR of 35.7% between 2024–2030, is driven by significant advancements in computational power and data availability, which enable more sophisticated AI algorithms and models. Governments worldwide, particularly in regions like Asia Pacific, are heavily investing in AI research and development, fostering a supportive environment for innovation. Additionally, the rapid digital transformation across various industries—such as healthcare, finance, manufacturing, and retail—demands AI solutions to enhance efficiency, decision-making, and customer experiences. Moreover, the competitive advantage offered by AI in automating processes and personalizing services compels businesses to integrate AI technologies, accelerating market adoption.

Technology Roadmap of Artificial Intelligence Market

The Artificial Intelligence market report covers the technology roadmap, with insights into the short-term and long-term developments.

  • Short-term (1-5 Years):
    • Widespread adoption of transformer architectures, particularly in NLP tasks, leads to significant performance improvements.
    • Federated learning techniques are increasingly implemented to enable collaborative model training across decentralized data sources while maintaining data privacy.
    • Self-supervised learning approaches gain traction for unsupervised pre-training of AI models, improving model generalization and robustness.
    • AI models with meta-learning capabilities emerge, enabling rapid adaptation to new tasks and environments with minimal training data.
    • AI applications in personalized healthcare expand, offering tailored diagnosis, treatment recommendations, and drug discovery.
  • Long-term (5+ years):
    • Novel AI architectures integrating neuro-symbolic approaches, quantum computing, and biological-inspired models emerge, pushing AI capabilities beyond current boundaries.
    • Advancements in explainable AI methods enhance model transparency and interpretability, fostering trust and accountability in AI decision-making.
    • Hybrid AI systems combining symbolic reasoning with deep learning approaches are developed, offering robust and flexible AI solutions for complex tasks.
    • Integration of AI with augmented reality (AR) and virtual reality (VR) technologies enables immersive and interactive AI experiences, revolutionizing human-computer interactions.
    • AI integration in smart cities infrastructure optimizes urban planning, transportation systems, and resource management for sustainable and livable cities.

Artificial Intelligence (AI) Market

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Artificial Intelligence (AI) Market Opportunities

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Market Dynamics

Driver: Rise of deep learning and machine learning technologies

The rise of deep learning and machine learning technologies is acting as a potent catalyst for the burgeoning growth of the AI market. These cutting-edge techniques have revolutionized the way computers can process and analyze vast amounts of data, enabling them to identify intricate patterns, make predictions, and even mimic human-like decision-making processes. The rapid advancements in deep learning algorithms, combined with the increasing computational power and availability of big data, have paved the way for more sophisticated AI applications across various industries. From image and speech recognition to natural language processing and predictive analytics, deep learning and machine learning are empowering AI systems to tackle complex tasks with unprecedented accuracy and efficiency, thereby driving widespread adoption and fueling the exponential expansion of the AI market.

Restraint: High costs associated with training data preparation

High initial investments and implementation costs pose a significant restraint for the AI market, deterring some organizations from fully embracing AI technologies. The upfront expenses associated with developing or procuring AI solutions, infrastructure setup, data collection, and talent acquisition can be substantial, particularly for small and medium-sized enterprises. Studies indicate that more than 50% of executives cited cost as the primary obstacle to AI implementation in their organizations. The complexity of AI integration is also evident in the time required for deployment, with estimates indicating that it takes an average of 18 months for companies to move from AI pilot projects to full-scale implementation. These financial and operational challenges can hinder widespread adoption of AI solutions, particularly among organizations with limited budgets or risk aversion, thereby constraining the overall growth potential of the AI market.

Opportunity: Advancements in generative AI to open new avenues for AI-powered content creation

Advancements in generative AI are opening new avenues for AI-powered content generation, presenting a significant opportunity for the AI market. Technologies such as GPT-4 and DALL-E are capable of creating high-quality text, images, and even videos, revolutionizing industries like marketing, entertainment, and content creation. Industry experts estimate that by 2025, 10% of all data produced will be generated by AI, a testament to the growing impact of generative AI technologies. These advancements enable businesses to produce personalized content at scale, enhancing customer engagement and reducing production costs. Enterprises are banking on the potential of generative AI to drive innovation and efficiency, creating new business models, and transforming industries through enhanced content creation capabilities.

Challenge:Concerns related to bias and inaccurately generated output

Concerns related to bias and inaccurately generated outputs pose a significant challenge for the AI market, as these issues can undermine the reliability and fairness of AI applications. Bias in AI systems can lead to discriminatory outcomes, which is a growing concern for both regulators and the public. Surverys have revealed that over 70% of CEOs are concerned about AI delivering biased outcomes, while 40% of consumers distrust AI due to perceived biases and inaccuracies. Inaccurately generated outputs, particularly from generative AI models, can spread misinformation and erode trust in AI technologies. Addressing these challenges is critical for the AI market's growth, requiring robust ethical standards, transparent algorithms, and ongoing efforts to mitigate biases.

Artificial Intelligence Market Ecosystem

Top Companies in Artificial Intelligence (AI) Market

Top Companies in Artificial Intelligence (AI) Market

By offering, software segment to account for the largest market share in 2024

Software segment is set to become the largest market segment in the AI market by revenue in 2024 due to its fundamental role in enabling diverse AI applications across industries. This segment includes both discriminative AI, which excels in tasks like classification and prediction, and generative AI, known for creating new content and simulating scenarios. These capabilities are crucial for industries such as finance, healthcare, and marketing, where AI-driven software solutions enhance efficiency, decision-making, and customer engagement. As companies seek to enhance efficiency, improve decision-making, and foster innovation, the demand for versatile and scalable AI software solutions is increasing. The flexibility of AI software to adapt to various use cases and industries positions it as a critical driver of AI adoption, underpinning the development and deployment of AI technologies on a wide scale.

By technology, context-aware AI is slated to register the highest growth rate during the forecast period.

Context-aware AI is expected to become the fastest growing market segment between 2024 and 2030 due to its capability to deliver highly personalized and adaptive user experiences by comprehending situational context. This advanced AI leverages data such as user behavior, environmental conditions, and temporal information to enhance the relevance and effectiveness of applications across various sectors. For instance, in healthcare, context-aware AI can improve patient monitoring and diagnostics by adapting to individual health patterns and environmental factors. In the automotive industry, it enhances safety and driving experience by responding to real-time road and driver conditions. According to a report by the World Economic Forum, 79% of executives believe that AI and machine learning will revolutionize their industries by 2025, with context-aware AI playing a pivotal role in this transformation. This growing recognition of the benefits of context-aware systems is driving accelerated investment and innovation, making it a key growth area in the AI market.

By business function, marketing & sales segment will hold the largest market share in 2024.

The marketing & sales business function is estimated to hold the largest market share in 2024 due to the significant impact AI technologies have on optimizing customer engagement, targeting, and conversion strategies. AI-powered tools such as predictive analytics, customer segmentation, and personalized recommendation systems enable businesses to understand and anticipate customer needs more accurately. This leads to more effective marketing campaigns, higher customer satisfaction, and increased sales. Additionally, AI-driven automation in customer service and sales processes enhances efficiency and reduces operational costs. As companies increasingly prioritize data-driven decision-making to stay competitive, the demand for AI solutions in marketing and sales is surging, driving substantial investment and revenue growth in this segment.

By vertical, healthcare & life sciences industry is set to witness the fastest growth rate over the forecast period.

The healthcare and life sciences industry is poised to become the fastest-growing market segment in the AI market during the forecast period due to several key factors. Firstly, the increasing adoption of electronic health records (EHRs) and the digitization of medical data have created vast repositories of information ripe for AI-driven analysis and insights. AI technologies, such as machine learning and natural language processing, can extract valuable insights from these data sets, enabling more accurate diagnoses, personalized treatments, and predictive healthcare analytics. Secondly, the growing demand for telemedicine and remote patient monitoring solutions, accelerated by the COVID-19 pandemic, is driving the need for AI-powered tools that can enhance virtual care delivery and improve patient outcomes. Additionally, the rising prevalence of chronic diseases and the aging population are fueling the demand for innovative healthcare solutions that can optimize resource allocation, streamline workflows, and improve operational efficiency.

By region, Asia Pacific is set to experience the fastest growth rate during the forecast period.

Asia Pacific is set to emerge as the fastest-growing region in AI market, due to several key factors. Firstly, the region's robust economic growth, fueled by emerging markets such as China, India, and Southeast Asia, presents a fertile ground for AI adoption and investment. These countries are rapidly digitizing their economies and investing heavily in AI infrastructure to drive innovation and competitiveness across various sectors. For instance, in May 2023, the Chinese government unveiled plans to construct AI industrial hubs and tech platforms nationwide, with the aim of bolstering research and development efforts. Furthermore, on September 2022, the Shenzhen government passed China’s first local regulation exclusively dedicated to enhancing AI development. Known as the “Regulations on Promoting Artificial Intelligence Industry in Shenzhen Special Economic Zone” (the Shenzhen AI Regulation), this legislation aims to drive the growth of the AI industry by encouraging government organizations to embrace artificial intelligence technology as pioneers and by providing increased financial support for artificial intelligence research within China.

Furthermore, the generative AI boom is accelerating AI development and adoption in the APAC region. Japanese companies such as SoftBank and Hitachi are actively developing or integrating generative AI into their operations. In March 2023, Mitsui & Co., Ltd., one of Japan’s leading conglomerates, partnered with NVIDIA on an initiative called Tokyo-1. This collaboration aims to empower the nation’s pharmaceutical leaders through advanced technologies, including high-resolution molecular dynamics simulations and generative AI models for drug discovery. Also, according to the draft of the Integrated Innovation Strategy for 2023, the Japanese government is committed to promoting the adoption of generative AI and enhancing domestic capabilities for its development. Simultaneously, the government aims to address potential risks associated with generative AI, such as copyright infringement and the exposure of confidential information.

North American Artificial Intelligence (AI) Market Size, and Share

Key Market Players

The artificial intelligence solution and service providers have implemented several types of organic and inorganic growth strategies, such as new product launches, product upgrades, partnerships, and agreements, business expansions, and mergers and acquisitions to strengthen their offerings in the market. Some major players in the artificial intelligence market include Microsoft (US), IBM (US), AWS (US), Google (US), Nvidia (US), along with SMEs and startups such as OpenAI (US), AI21 Labs (Israel), Mostly AI (Austria), Sentient.io (Canada) and Appier (Taiwan).

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Scope of the Report

Report Metrics

Details

Market size available for years

2019–2030

Base year considered

2023

Forecast period

2024–2030

Forecast units

USD (Billion)

Segments Covered

Offering, Technology, Business Function, Vertical, and Region

Geographies covered

North America, Europe, Asia Pacific, Middle East & Africa, and Latin America

Companies covered

IBM (US), NVIDIA (US), OpenAI (US), Oracle (US), Meta (US), Microsoft (US), Google (US), AWS (US), Intel (US), Salesforce (US), SAP (Germany), Cisco (US), HPE (US), Siemens (Germany), Baidu (China), SAS Institute (US), AMD (US), Qualcomm (US), Huawei (China), Alibaba Cloud (China), C3 AI (US), HQE Systems (US), Dialpad (US), Anduril Industries (US), Adept (US), DeepL (Germany), Moveworks (US), Arrow AI (US), Anthropic (US), Observe.ai (US), Anyscale (US), Frame AI (US), Uizard (Denmark), Shield AI (US), Cohere (Canada), Writesonic (US), Arthur (US), Capacity (US), Spot AI (US), Inbenta (US), Glean (US), Jasper (US), Atomwise (US), H2O.AI (US), Inflection AI (US), Persado (US), Appier (Taiwan), Graphcore (UK), AI21 Labs (Israel), Scale AI (US), IRIS Automation (US), Gamaya (Switzerland), Synthesia (England), Mostly AI (Austria), Mythic (US), Character.ai (US), ADA (Canada), Sentient.io (Singapore), Lumen5 (Canada), Aera Technology (US), Metropolis (US), Cerebras (US), Hailo (Israel), Soundful (US), and One AI (Israel).

This research report categorizes the artificial intelligence market based on offering, technology, business function, vertical, and region:

By Offering:
  • Hardware
    • AI Accelerators
    • Processors
      • Central Processing Units (CPU)
      • Graphics Processing Units (GPU)
      • Field Programmable Gate Arrays (FPGA)
      • Other Processors
    • Memory
    • Networking Hardware
  • Software
    • Software, By Type
      • Discriminative AI
        • Classification Algorithms
        • Regression Algorithms
        • Deep Learning Platforms
        • Ensemble Methods
      • Generative AI
        • Generative Adversarial Networks (Gans)
        • Autoencoders
        • Convolutional Neural Networks (Cnns)
        • Transformer Models
          • Bidirectional Encoder Representations From Transformers (BERT)
          • Generative Pre-trained Transformer 1 (GPT-1)
          • Generative Pre-trained Transformer 2 (GPT-2)
          • Generative Pre-trained Transformer 3 (GPT-3)
          • Generative Pre-trained Transformer 4 (GPT-4)
          • Language Model for Dialogue Applications (LaMDA)
          • Other Transformer Models
    • Software, By Deployment Mode
      • Cloud
      • On-Premises
    • Software, By Coding Automation
      • No-code AI
      • Low-code AI
      • Pro-code AI
  • Services
    • Professional Services
      • Training & Consulting Services
      • System Integration & Deployment Services
      • Support & Maintenance Services
    • Managed Services
By Technology
  • Machine Learning
    • Supervised Learning
    • Unsupervised Learning
    • Reinforcement Learning
  • Natural Language Processing
    • Natural Language Understanding (NLU)
      • Text Classification
      • Named Entity Recognition (NER)
      • Intent Recognition
      • Relationship Extraction
      • Others
    • Natural Language Generation (NLG)
      • Text Summarization
      • Machine Translation
      • Language Modelling
      • Dialogue Generation
  • Computer Vision
    • Object Detection
    • Image Classification
    • Semantic Segmentation
    • Facial Recognition
    • Others
  • Context-aware Artificial Intelligence (CAAI)
    • Context-Aware Recommendation Systems
    • Multi-Modal AI
    • Context-Aware Virtual Assistants
By Business Function:
  • Marketing & Sales
    • Customer Segmentation
    • Predictive Lead Scoring
    • Personalized Recommendations
    • Dynamic Pricing Optimization
    • Churn Prediction
    • Sentiment Analysis
    • Marketing Attribution
    • Others
  • Human Resources
    • Candidate Screening
    • Employee Retention Analysis
    • Performance Management
    • Workforce Planning & Forecasting
    • Employee Feedback Analysis
    • Skill Gap Analysis
    • Diversity & Inclusion Analytics
    • Others
  • Finance & Accounting
    • Fraud Detection
    • Financial Forecasting
    • Expense Management
    • Invoice Processing
    • Credit Risk Assessment
    • Regulatory Compliance
    • Budgeting And Planning
    • Others
  • Operations
    • Predictive Maintenance
    • Supply Chain Optimization
    • AIOps
    • IT Service Management
    • Quality Control
    • Route Optimization
    • Cold Chain Monitoring
    • Inventory Management
    • Procurement Automation
    • Equipment Failure Prediction
    • Others
  • Cybersecurity
    • Threat Detection & Response
    • Anomaly Detection
    • Vulnerability Assessment
    • Identity & Access Management
    • Security Automation & Orchestration
    • Endpoint Protection
    • Network Traffic Analysis
    • Others
By Vertical:
  • BFSI
    • Fraud Detection & Prevention
    • Risk Assessment & Management
    • Algorithmic Trading
    • Credit Scoring & Underwriting
    • Customer Service Automation
    • Personalized Financial Recommendations
    • Investment Portfolio Management
    • Regulatory Compliance Monitoring
    • Others
  • Retail & E-Commerce
    • Personalized Product Recommendation
    • Customer Relationship Management
    • Visual Search
    • Virtual Customer Assistant
    • Price Optimization
    • Supply Chain Management & Demand Planning
    • Virtual Stores
    • Others
  • Automotive, Transportation & Logistics
    • Semi-Autonomous & Autonomous Vehicles
    • Route Optimization
    • Intelligent Traffic Management
    • Driver Assistance Systems
    • Smart Logistics & Warehousing
    • Supply Chain Visibility & Tracking
    • Fleet Management
    • Vehicle Diagnostics & Telematics
    • Others
  • Government & Defense
    • Surveillance & Situational Awareness
    • Law Enforcement
    • Intelligence Analysis & Data Processing
    • Simulation & Training
    • Command & Control
    • Disaster Response & Recovery Assistance
    • E-Governance & Digital City Services
    • Others
  • Healthcare & Life Sciences
    • Patient Data & Risk Analysis
    • Lifestyle Management & Monitoring
    • Precision Medicine
    • Inpatient Care & Hospital Management
    • Medical Imaging & Diagnostics
    • Drug Discovery
    • AI-Assisted Medical Services
    • Medical Research
    • Others
  • Telecommunications
    • Network Optimization
    • Network Security
    • Customer Service & Support
    • Network Planning & Optimization
    • Network Analytics
    • Intelligent Call Routing
    • Network Fault Prediction
    • Virtual Network Assistants
    • Voice & Speech Recognition
    • Others
  • Energy & Utilities
    • Energy Demand Forecasting
    • Grid Optimization & Management
    • Energy Consumption Analytics
    • Smart Metering & Energy Data Management
    • Energy Storage Optimization
    • Real-Time Energy Monitoring & Control
    • Power Quality Monitoring & Management
    • Energy Trading & Market Forecasting
    • Intelligent Energy Management Systems
    • Others
  • Manufacturing
    • Material Movement Management
    • Predictive Maintenance & Machinery Inspection
    • Production Planning
    • Recyclable Material Reclamation
    • Quality Control
    • Production Line Optimization
    • Intelligent Inventory Management
    • Others
  • Agriculture
    • Crop Monitoring & Yield Prediction
    • Precision Farming
    • Soil Analysis & Nutrient Management
    • Pest & Disease Detection
    • Irrigation Optimization & Water Management
    • Automated Harvesting & Sorting
    • Weed Detection & Management
    • Weather & Climate Monitoring
    • Livestock Monitoring & Health Management
    • Others
  • IT/ITeS
    • Automated Code Generation & Optimization
    • Automated IT Asset Management
    • IT Ticketing & Support Automation
    • Intelligent Data Backup & Recovery
    • Automated Software Testing & Quality Assurance
    • Others
  • Media & Entertainment
    • Content Recommendation Systems
    • Content Creation & Generation
    • Content Copyright Protection
    • Audience Analytics & Segmentation
    • Personalized Advertising
    • Others
  • Other Verticals
By Region
  • North America
    • United States
    • Canada
  • Europe
    • UK
    • Germany
    • France
    • Italy
    • Spain
    • Nordic
    • Benelux
    • Rest of Europe
  • Asia Pacific
    • China
    • India
    • Japan
    • South Korea
    • Australia and New Zealand (ANZ)
    • ASEAN
    • Rest of Asia Pacific
  • Middle East and Africa
    • Saudi Arabia
    • UAE
    • South Africa
    • Turkey
    • Qatar
    • Rest of Middle East and Africa
  • Latin America
    • Brazil
    • Mexico
    • Argentina
    • Chile
    • Rest of Latin America

Recent Developments:

  • In April 2024, Intel launched the Gaudi 3 accelerator, designed to advance AI performance and scalability. The Gaudi 3 features enhanced networking capabilities with 200 Gbps Ethernet connections, allowing it to scale up to clusters of 8,192 accelerators. This accelerator aims to boost Intel's AI strategy by providing robust solutions for training and inference workloads, achieving up to 1.7 times faster training speeds compared to competitive models?.
  • In April 2024, Informatica joined hands with Google to develop an MDM Extension for Google Cloud BigQuery, facilitating rapid access to trusted customer data. The collaboration enables enterprise-grade GenAI applications leveraging IDMC, Google Vertex AI, BigQuery, and Gemini models for enhanced analytics and insights.
  • In April 2024, Samsung struck a deal worth USD 3 billion with AMD to supply HBM3E memory chips for AMD’s AI chips, enhancing their performance. Samsung's chips, known for high bandwidth and capacity, will power AMD's MI350, competing with NVIDIA's offerings.
  • In April 2024, Qualcomm introduced the Snapdragon X Plus, featuring the Qualcomm Oryon CPU for a reported 37% boost in CPU performance and 54% less power consumption. The CPU is tailor made for AI-driven applications with the Hexagon NPU, offering 45 TOPS for laptops, aiming to revolutionize mobile computing.
  • In April 2024, Microsoft and The Coca-Cola Company entered a five-year strategic partnership to advance Coca-Cola's technology strategy, leveraging Microsoft Cloud and generative AI. The USD 1.1 billion commitment aims to drive innovation and productivity across Coca-Cola’s global operations.
  • In April 2024, Arena and AMD collaborated to deploy Arena Atlas, an AI test & optimization product, enhancing GPU testing and optimization. Atlas autonomously identifies power and performance optimizations, accelerating product development and improving chip design.
  • In March 2024, Salesforce launched the Einstein 1 Studio platform. Einstein 1 Studio empowers admins and developers with low-code AI tools to customize Einstein Copilot and embed AI across Salesforce apps. Deep integration with Salesforce Data Cloud also ensures rich insights leveraged from customer data.
  • In March 2024, NVIDIA join forces with Microsoft to revolutionize healthcare and life sciences with cloud, AI, and accelerated computing. Leveraging Azure and NVIDIA technologies, the collaboration aims to accelerate drug discovery, enhance medical imaging diagnostics, and advance genomics analysis for improved patient care worldwide.
  • In March 2024, IBM and Riyadh Air collaborated to transform air travel experiences, leveraging AI for augmenting customer experience throughout the travel. Riyadh Air aims to offer seamless, personalized journeys, utilizing IBM Consulting's expertise across channels and IBM Garage's collaborative model.
  • In February 2024, OpenAI announced the introduction of Sora, a text-to-video generative AI model. Sora can generate videos for up to a minute long while maintaining visual quality and adherence to the user’s prompt. This model is not publicly available as of now and limited access has been granted to handful of red teamers, visual artists, designers, and filmmakers.

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TABLE OF CONTENTS
 
1 INTRODUCTION (Page No. - 53)
    1.1 STUDY OBJECTIVES 
    1.2 MARKET DEFINITION 
           1.2.1 INCLUSIONS AND EXCLUSIONS
    1.3 MARKET SCOPE 
           1.3.1 MARKET SEGMENTATION
                    TABLE 1 ARTIFICIAL INTELLIGENCE MARKET: DETAILED SEGMENTATION
           1.3.2 REGIONS COVERED
           1.3.3 YEARS CONSIDERED
    1.4 CURRENCY CONSIDERED 
           TABLE 2 UNITED STATES DOLLAR EXCHANGE RATE, 2019–2023
    1.5 STAKEHOLDERS 
    1.6 SUMMARY OF CHANGES 
           1.6.1 IMPACT OF RECESSION
 
2 RESEARCH METHODOLOGY (Page No. - 66)
    2.1 RESEARCH DATA 
           FIGURE 1 ARTIFICIAL INTELLIGENCE MARKET: RESEARCH DESIGN
           2.1.1 SECONDARY DATA
           2.1.2 PRIMARY DATA
                    TABLE 3 PRIMARY INTERVIEWS
                    2.1.2.1 Breakup of primary profiles
                    2.1.2.2 Key industry insights
    2.2 MARKET BREAKUP AND DATA TRIANGULATION 
           FIGURE 2 DATA TRIANGULATION
    2.3 MARKET SIZE ESTIMATION 
           FIGURE 3 ARTIFICIAL INTELLIGENCE MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES
           2.3.1 TOP-DOWN APPROACH
           2.3.2 BOTTOM-UP APPROACH
                    FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 1, BOTTOM-UP (SUPPLY-SIDE): REVENUE FROM SOFTWARE/HARDWARE/SERVICES OF ARTIFICIAL INTELLIGENCE MARKET
                    FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 2, BOTTOM-UP (SUPPLY-SIDE): COLLECTIVE REVENUE FROM ALL SOFTWARE/HARDWARE/SERVICES OF ARTIFICIAL INTELLIGENCE MARKET
                    FIGURE 6 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 3, BOTTOM-UP (SUPPLY-SIDE): COLLECTIVE REVENUE FROM ALL SOFTWARE/HARDWARE/SERVICES OF ARTIFICIAL INTELLIGENCE MARKET
                    FIGURE 7 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 4, BOTTOM-UP (DEMAND-SIDE): SHARE OF ARTIFICIAL INTELLIGENCE THROUGH OVERALL IT SPENDING
    2.4 MARKET FORECAST 
           TABLE 4 FACTOR ANALYSIS
    2.5 RESEARCH ASSUMPTIONS 
    2.6 LIMITATIONS 
           FIGURE 8 STUDY LIMITATIONS
    2.7 IMPLICATIONS OF RECESSION ON ARTIFICIAL INTELLIGENCE MARKET 
           TABLE 5 IMPACT OF RECESSION ON GLOBAL ARTIFICIAL INTELLIGENCE MARKET
 
3 EXECUTIVE SUMMARY (Page No. - 80)
    TABLE 6 GLOBAL ARTIFICIAL INTELLIGENCE MARKET SIZE AND GROWTH RATE, 2019–2023 (USD BILLION, Y-O-Y %) 
    TABLE 7 GLOBAL ARTIFICIAL INTELLIGENCE MARKET SIZE AND GROWTH RATE, 2024–2030 (USD BILLION, Y-O-Y %) 
    FIGURE 9 SOFTWARE SEGMENT TO ACCOUNT FOR LARGEST MARKET SIZE IN 2024 
    FIGURE 10 AI ACCELERATORS TO BE LEADING SEGMENT IN 2024 
    FIGURE 11 GRAPHICS PROCESSING UNIT (GPU) TO BE LARGEST SEGMENT IN 2024 
    FIGURE 12 DISCRIMINATIVE AI TO ACCOUNT FOR MAJORITY MARKET SHARE IN 2024 
    FIGURE 13 TRANSFORMER MODELS SLATED TO BECOME FASTEST-GROWING SEGMENT DURING FORECAST PERIOD 
    FIGURE 14 DEEP LEARNING PLATFORMS TO BECOMING LEADING SEGMENT IN 2024 
    FIGURE 15 CLOUD SEGMENT TO BECOME LEADING SOFTWARE DEPLOYMENT MODE IN 2024 
    FIGURE 16 LOW-CODE AI SOFTWARE TO REGISTER LARGER MARKET SHARE IN 2024 
    FIGURE 17 PROFESSIONAL SERVICES TO REGISTER LARGER MARKET SHARE IN 2024 
    FIGURE 18 TRAINING & CONSULTING TO ACCOUNT FOR LARGEST MARKET SHARE IN 2024 
    FIGURE 19 MACHINE LEARNING TO EMERGE AS LARGEST SEGMENT IN 2024 
    FIGURE 20 MARKETING & SALES TO BE LEADING SEGMENT IN 2024 
    FIGURE 21 HEALTHCARE & LIFE SCIENCES TO EMERGE AS FASTEST-GROWING VERTICAL DURING FORECAST PERIOD 
    FIGURE 22 ASIA PACIFIC TO REGISTER HIGHEST GROWTH RATE BETWEEN 2024 AND 2030 
 
4 PREMIUM INSIGHTS (Page No. - 89)
    4.1 ATTRACTIVE OPPORTUNITIES IN ARTIFICIAL INTELLIGENCE MARKET 
           FIGURE 23 INCREASING DEMAND FOR GENERATIVE AI AND IMPROVING PERFORMANCE OF AI ALGORITHMS ON EDGE DEVICES TO DRIVE MARKET GROWTH
    4.2 OVERVIEW OF RECESSION IN GLOBAL MARKET 
           FIGURE 24 MARKET TO WITNESS MINOR DECLINE IN Y-O-Y GROWTH IN 2023
    4.3 MARKET: TOP THREE TECHNOLOGIES 
           FIGURE 25 CONTEXT-AWARE AI SEGMENT TO ACCOUNT FOR HIGHEST GROWTH RATE DURING FORECAST PERIOD
    4.4 NORTH AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING AND VERTICAL 
           FIGURE 26 SOFTWARE SEGMENT AND HEALTHCARE & LIFE SCIENCES VERTICAL TO BE LARGEST SHAREHOLDERS IN NORTH AMERICA IN 2024
    4.5 MARKET, BY REGION 
           FIGURE 27 NORTH AMERICA TO HOLD LARGEST MARKET SHARE IN 2024
 
5 ARTIFICIAL INTELLIGENCE MARKET OVERVIEW AND INDUSTRY TRENDS (Page No. - 93)
    5.1 INTRODUCTION 
    5.2 ARTIFICIAL INTELLIGENCE MARKET DYNAMICS 
           FIGURE 28 DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES: MARKET
           5.2.1 DRIVERS
                    5.2.1.1 Growth in adoption of autonomous artificial intelligence
                               FIGURE 29 END-USER SPENDING ON AUTONOMOUS AI AMOUNTED TO USD 4.7 BILLION IN 2023
                    5.2.1.2 Rise of deep learning and machine learning technologies
                               FIGURE 30 IMPROVEMENTS IN DEEP LEARNING HAVE LED TO AI MODELS MATCHING HUMAN PERFORMANCE IN COGNITIVE SKILLS
                    5.2.1.3 Advancements in computing power and availability of large databases
                               FIGURE 31 RAPID STRIDES IN COMPUTING POWER HAVE LED TO DEVELOPMENT OF SOPHISTICATED AI MODELS TRAINED ON EXTREMELY LARGE DATASETS
           5.2.2 RESTRAINTS
                    5.2.2.1 Shortage of skilled artificial intelligence professionals
                               FIGURE 32 SHORTAGE OF SKILLED AI WORKFORCE HAS LED TO SHARP SPIKE IN SALARIES OF AI PROFESSIONALS
                    5.2.2.2 Regulatory and legal implications of artificial intelligence
                    5.2.2.3 High initial investment and implementation costs
                               FIGURE 33 HIGH COST OF AI MODEL TRAINING REMAINS SIGNIFICANT BARRIER TO WIDESPREAD AI ADOPTION
           5.2.3 OPPORTUNITIES
                    5.2.3.1 Growing adoption of cloud-based AI solutions
                               FIGURE 34 PUBLIC CLOUD WAS MOST POPULAR DEPLOYMENT MODE OF ARTIFICIAL INTELLIGENCE-AS-A-SERVICE IN 2023
                    5.2.3.2 Expansion of edge AI capabilities for real-time data processing and decision-making
                               FIGURE 35 ARTIFICIAL INTELLIGENCE SOLUTIONS GAINING MOMENTUM FOR HANDLING DIVERSE DATA GENERATED VIA EDGE DEVICES
                    5.2.3.3 Advancements in generative AI to open new avenues for AI-powered content creation
                               FIGURE 36 GENERATIVE AI WITNESSED RAPID ADOPTION ACROSS ENTERPRISE USE CASES, INCLUDING CONTENT GENERATION & CURATION
           5.2.4 CHALLENGES
                    5.2.4.1 Lack of transparency and explainability in decision-making process of AI
                    5.2.4.2 Concerns related to bias and inaccurately generated output
                               FIGURE 37 AI MODELS LIKE CHATGPT STILL MARRED BY ISSUES SUCH AS BIAS, INACCURACIES, AND INCONSISTENCIES IN OUTPUT
                    5.2.4.3 Integration challenges and lack of understanding of state-of-the-art systems
    5.3 ETHICS AND IMPLICATIONS OF ARTIFICIAL INTELLIGENCE DEVELOPMENT 
           5.3.1 BIAS AND FAIRNESS
           5.3.2 ACCOUNTABILITY AND TRUST
           5.3.3 IMPACT ON SOCIAL DYNAMICS
           5.3.4 PRIVACY AND SECURITY
           5.3.5 TRANSPARENCY AND EXPLAINABILITY
           5.3.6 ENVIRONMENTAL IMPACT
                    FIGURE 38 CO2 EQUIVALENT EMISSIONS (TONNES) OF ARTIFICIAL INTELLIGENCE MODELS COMPARED WITH REAL-LIFE EXAMPLES, 2022
                    FIGURE 39 AI DATA CENTERS EXPECTED TO ACCOUNT FOR 13% OF ANNUAL GLOBAL ELECTRICITY CONSUMPTION AND 6% OF CARBON FOOTPRINT BY 2030
    5.4 EVOLUTION OF ARTIFICIAL INTELLIGENCE (AI) MARKET 
           FIGURE 40 EVOLUTION OF ARTIFICIAL INTELLIGENCE
    5.5 ARTIFICIAL INTELLIGENCE AUTONOMY LEVELS 
           5.5.1 WEAK/NARROW ARTIFICIAL INTELLIGENCE
           5.5.2 STRONG ARTIFICIAL INTELLIGENCE
                    5.5.2.1 Artificial General Intelligence (AGI)
                    5.5.2.2 Artificial Super Intelligence (ASI)
    5.6 SUPPLY CHAIN ANALYSIS 
           FIGURE 41 MARKET: SUPPLY CHAIN ANALYSIS
           TABLE 8 ARTIFICIAL INTELLIGENCE (AI) MARKET: SUPPLY CHAIN ANALYSIS
    5.7 ECOSYSTEM ANALYSIS 
           TABLE 9 ARTIFICIAL INTELLIGENCE (AI) MARKET: ECOSYSTEM
           FIGURE 42 KEY PLAYERS IN ARTIFICIAL INTELLIGENCE MARKET ECOSYSTEM (PART 1/2)
           FIGURE 43 KEY PLAYERS IN MARKET ECOSYSTEM (PART 2/2)
           5.7.1 ARTIFICIAL INTELLIGENCE HARDWARE PROVIDERS
           5.7.2 ARTIFICIAL INTELLIGENCE SOFTWARE PROVIDERS
           5.7.3 ARTIFICIAL INTELLIGENCE PLATFORM PROVIDERS
           5.7.4 ARTIFICIAL INTELLIGENCE NETWORK PROVIDERS
           5.7.5 ARTIFICIAL INTELLIGENCE SECURITY PROVIDERS
           5.7.6 ARTIFICIAL INTELLIGENCE SERVICE PROVIDERS
           5.7.7 ARTIFICIAL INTELLIGENCE CLOUD PROVIDERS
    5.8 INVESTMENT LANDSCAPE AND FUNDING SCENARIO 
           FIGURE 44 TOP 10 AI UNICORNS, BY ENTERPRISE VALUATION, 2023
           FIGURE 45 AI STARTUPS: EQUITY DEALS AND FUNDING VALUE, 2017–2023
           FIGURE 46 ARTIFICIAL INTELLIGENCE EQUITY FUNDING, BY TYPE, 2019–2023
           FIGURE 47 ARTIFICIAL INTELLIGENCE FUNDING, BY REGION, 2022–2023
           FIGURE 48 AVERAGE DEAL SIZE AND MEDIAN DEAL SIZE FOR AI STARTUPS, 2019–2023
           FIGURE 49 MERGERS AND ACQUISITIONS IN AI INDUSTRY, 2019–2023
           FIGURE 50 MOST ACTIVE INVESTORS IN AI, BY NUMBER OF COMPANIES BACKED, Q4 2023
    5.9 CASE STUDY ANALYSIS 
           5.9.1 HEALTHCARE & LIFE SCIENCES
                    5.9.1.1 AstraZeneca accelerated time to insights using Amazon SageMaker
           5.9.2 MANUFACTURING
                    5.9.2.1 Siemens connected frontline workers and engineers for real-time problem-solving using Azure AI
           5.9.3 RETAIL & E-COMMERCE
                    5.9.3.1 Unified customer data and experiences for Home Depot across its online and in-store channels
           5.9.4 TELECOMMUNICATIONS
                    5.9.4.1 T-mobile data fine-tuned with Nvidia riva services to resolve customer issues in real-time
           5.9.5 BFSI
                    5.9.5.1 Accelerated collection and analysis of investment information for Edgar Finance with help of IBM
    5.10 TECHNOLOGY ANALYSIS 
           5.10.1 KEY TECHNOLOGIES
                    5.10.1.1 Generative AI
                    5.10.1.2 Conversational AI
                    5.10.1.3 Autonomous AI & Autonomous Agent
                    5.10.1.4 AutoML
                    5.10.1.5 Causal AI
                    5.10.1.6 Decision Intelligence
                    5.10.1.7 MLOps
                    5.10.1.8 Embedded AI
                    5.10.1.9 Composite AI
           5.10.2 COMPLEMENTARY TECHNOLOGIES
                    5.10.2.1 Blockchain
                    5.10.2.2 Edge Computing
                    5.10.2.3 Sensors and Robotics
                    5.10.2.4 Cybersecurity
           5.10.3 ADJACENT TECHNOLOGIES
                    5.10.3.1 Predictive Analytics
                    5.10.3.2 IoT
                    5.10.3.3 Big Data
                    5.10.3.4 Augmented Reality
                    5.10.3.5 Virtual Reality
    5.11 TARIFF AND REGULATORY LANDSCAPE 
           5.11.1 TARIFF RELATED TO PROCESSORS AND CONTROLLERS (HSN: 854231)
                    TABLE 10 TARIFF RELATED TO PROCESSORS AND CONTROLLERS (HSN: 854231), 2023
           5.11.2 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                    TABLE 11 NORTH AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                    TABLE 12 EUROPE: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                    TABLE 13 ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                    TABLE 14 MIDDLE EAST & AFRICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                    TABLE 15 LATIN AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
           5.11.3 REGULATIONS: ARTIFICIAL INTELLIGENCE
                    5.11.3.1 North America
                               5.11.3.1.1 SCR 17: Artificial Intelligence Bill (California)
                               5.11.3.1.2 S1103: Artificial Intelligence Automated Decision Bill (Connecticut)
                               5.11.3.1.3 National Artificial Intelligence Initiative Act (NAIIA)
                               5.11.3.1.4 The Artificial Intelligence and Data Act (AIDA) - Canada
                    5.11.3.2 Europe
                               5.11.3.2.1 The European Union (EU) - Artificial Intelligence Act (AIA)
                               5.11.3.2.2 General Data Protection Regulation (Europe)
                    5.11.3.3 Asia Pacific
                               5.11.3.3.1 Interim Administrative Measures for Generative Artificial Intelligence Services (China)
                               5.11.3.3.2 The National AI Strategy (Singapore)
                               5.11.3.3.3 The Hiroshima AI Process Comprehensive Policy Framework (Japan)
                    5.11.3.4 Middle East & Africa
                               5.11.3.4.1 The National Strategy for Artificial Intelligence (UAE)
                               5.11.3.4.2 The National Artificial Intelligence Strategy (Qatar)
                               5.11.3.4.3 The AI Ethics Principles and Guidelines (Dubai)
                    5.11.3.5 Latin America
                               5.11.3.5.1 The Santiago Declaration (Chile)
                               5.11.3.5.2 The Brazilian Artificial Intelligence Strategy (EBIA)
    5.12 PATENT ANALYSIS 
           5.12.1 METHODOLOGY
           5.12.2 PATENTS FILED, BY DOCUMENT TYPE
                    TABLE 16 PATENTS FILED, 2013–2023
           5.12.3 INNOVATION AND PATENT APPLICATIONS
                    FIGURE 51 NUMBER OF PATENTS GRANTED IN LAST 10 YEARS, 2013–2023
                    5.12.3.1 Top 10 applicants in ARTIFICIAL INTELLIGENCE MARKET
                               FIGURE 52 TOP 10 APPLICANTS IN ARTIFICIAL INTELLIGENCE MARKET, 2013–2023
                               TABLE 17 TOP 20 PATENT OWNERS IN MARKET, 2013–2023
                               TABLE 18 LIST OF FEW PATENTS IN MARKET, 2022–2023
                               FIGURE 53 REGIONAL ANALYSIS OF PATENTS GRANTED, 2013–2023
    5.13 PRICING ANALYSIS 
           5.13.1 AVERAGE SELLING PRICE TREND OF KEY PLAYERS, BY TECHNOLOGY
                    FIGURE 54 AVERAGE SELLING PRICES OF KEY PLAYERS FOR TOP 3 TECHNOLOGIES
                    TABLE 19 AVERAGE SELLING PRICES OF KEY PLAYERS FOR TOP 3 TECHNOLOGIES (USD)
           5.13.2 INDICATIVE PRICING ANALYSIS, BY OFFERING
                    TABLE 20 INDICATIVE PRICING LEVELS OF GENERATIVE AI SOLUTIONS, BY OFFERING
    5.14 TRADE ANALYSIS 
           5.14.1 EXPORT SCENARIO OF PROCESSORS AND CONTROLLERS
                    FIGURE 55 PROCESSORS AND CONTROLLERS EXPORT, BY KEY COUNTRY, 2016–2023 (USD BILLION)
           5.14.2 IMPORT SCENARIO OF PROCESSORS AND CONTROLLERS
                    FIGURE 56 PROCESSORS AND CONTROLLERS IMPORT, BY KEY COUNTRY, 2016–2023 (USD BILLION)
    5.15 KEY CONFERENCES AND EVENTS (2024–2025) 
                    TABLE 21 ARTIFICIAL INTELLIGENCE (AI) MARKET: DETAILED LIST OF CONFERENCES & EVENTS, 2024–2025
    5.16 PORTER’S FIVE FORCES ANALYSIS 
                    TABLE 22 PORTERS’ FIVE FORCES’ IMPACT ON ARTIFICIAL INTELLIGENCE (AI) MARKET
                    FIGURE 57 ARTIFICIAL INTELLIGENCE (AI) MARKET: PORTER’S FIVE FORCES ANALYSIS
           5.16.1 THREAT OF NEW ENTRANTS
           5.16.2 THREAT OF SUBSTITUTES
           5.16.3 BARGAINING POWER OF SUPPLIERS
           5.16.4 BARGAINING POWER OF BUYERS
           5.16.5 INTENSITY OF COMPETITIVE RIVALRY
    5.17 MARKET TECHNOLOGY ROADMAP 
                    FIGURE 58 TECHNOLOGY ROADMAP FOR ARTIFICIAL INTELLIGENCE MARKET
    5.18 ARTIFICIAL INTELLIGENCE BUSINESS MODELS 
                    FIGURE 59 BUSINESS MODELS OF MARKET
           5.18.1 AI SAAS PRODUCT VENDOR
           5.18.2 AI PLATFORM VENDOR
           5.18.3 AI LICENSING AND INTELLECTUAL PROPERTY VENDOR
           5.18.4 AI TECHNICAL CONSULTING VENDOR
           5.18.5 AI MANAGEMENT CONSULTING VENDOR
           5.18.6 AI RESEARCH AND DEVELOPMENT VENDOR
    5.19 KEY STAKEHOLDERS & BUYING CRITERIA 
           5.19.1 KEY STAKEHOLDERS IN BUYING PROCESS
                    FIGURE 60 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE VERTICALS
                    TABLE 23 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE VERTICALS
           5.19.2 BUYING CRITERIA
                    FIGURE 61 KEY BUYING CRITERIA FOR TOP THREE VERTICALS
                    TABLE 24 KEY BUYING CRITERIA FOR TOP THREE VERTICALS
    5.20 TRENDS/DISRUPTIONS IMPACTING CUSTOMERS’ BUSINESSES 
           5.20.1 TRENDS/DISRUPTIONS IMPACTING CUSTOMERS’ BUSINESSES
                    FIGURE 62 MARKET: TRENDS/DISRUPTIONS IMPACTING CUSTOMERS’ BUSINESSES
 
6 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING (Page No. - 169)
    6.1 INTRODUCTION 
           6.1.1 OFFERING: MARKET DRIVERS
                    FIGURE 63 SERVICES SEGMENT TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
                    TABLE 25 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2019–2023 (USD BILLION)
                    TABLE 26 MARKET, BY OFFERING, 2024–2030 (USD BILLION)
    6.2 HARDWARE 
           FIGURE 64 AI ACCELERATORS TO HOLD LARGEST SHARE IN 2024
           TABLE 27 MARKET, BY HARDWARE, 2019–2023 (USD MILLION)
           TABLE 28 MARKET, BY HARDWARE, 2024–2030 (USD MILLION)
           6.2.1 AI ACCELERATORS
                    6.2.1.1 Rise in demand for more optimized processing in artificial intelligence applications to drive growth
                               TABLE 29 AI ACCELERATORS: MARKET, BY REGION, 2019–2023 (USD MILLION)
                               TABLE 30 AI ACCELERATORS: MARKET, BY REGION, 2024–2030 (USD MILLION)
           6.2.2 PROCESSORS
                    6.2.2.1 Technological advancements pave way for smaller, more powerful, and more efficient chips
                               FIGURE 65 GRAPHICS PROCESSING UNIT TO ACCOUNT FOR LARGEST MARKET SHARE IN 2024
                               TABLE 31 ARTIFICIAL INTELLIGENCE MARKET, BY PROCESSOR, 2019–2023 (USD MILLION)
                               TABLE 32 MARKET, BY PROCESSOR, 2024–2030 (USD MILLION)
                    6.2.2.2 Graphics Processing Unit (GPU)
                               TABLE 33 GRAPHICS PROCESSING UNIT: MARKET, BY REGION, 2019–2023 (USD MILLION)
                               TABLE 34 GRAPHICS PROCESSING UNIT: MARKET, BY REGION, 2024–2030 (USD MILLION)
                    6.2.2.3 Central Processing Unit (CPU)
                               TABLE 35 CENTRAL PROCESSING UNIT: MARKET, BY REGION, 2019–2023 (USD MILLION)
                               TABLE 36 CENTRAL PROCESSING UNIT: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2024–2030 (USD MILLION)
                    6.2.2.4 Field Programmable Gate Arrays (FPGA)
                               TABLE 37 FIELD PROGRAMMABLE GATE ARRAYS: MARKET, BY REGION, 2019–2023 (USD MILLION)
                               TABLE 38 FIELD PROGRAMMABLE GATE ARRAYS: MARKET, BY REGION, 2024–2030 (USD MILLION)
                    6.2.2.5 Other Processors
                               TABLE 39 OTHER PROCESSORS: MARKET, BY REGION, 2019–2023 (USD MILLION)
                               TABLE 40 OTHER PROCESSORS: MARKET, BY REGION, 2024–2030 (USD MILLION)
           6.2.3 MEMORY
                    6.2.3.1 Advancements in specialized memory solutions to impact performance and scalability of AI systems
                               TABLE 41 MEMORY: MARKET, BY REGION, 2019–2023 (USD MILLION)
                               TABLE 42 MEMORY: MARKET, BY REGION, 2024–2030 (USD MILLION)
           6.2.4 NETWORKING HARDWARE
                    6.2.4.1 Enhancing efficient AI operations with AI networking hardware to drive market growth
                               TABLE 43 NETWORKING HARDWARE: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2019–2023 (USD MILLION)
                               TABLE 44 NETWORKING HARDWARE: MARKET, BY REGION, 2024–2030 (USD MILLION)
    6.3 SOFTWARE 
           6.3.1 SOFTWARE, BY TYPE
                               FIGURE 66 GENERATIVE AI TO BE FASTER-GROWING SOFTWARE TYPE BETWEEN 2024 AND 2030
                               TABLE 45 SOFTWARE: MARKET, BY TYPE, 2019–2023 (USD BILLION)
                               TABLE 46 SOFTWARE: MARKET, BY TYPE, 2024–2030 (USD BILLION)
                    6.3.1.1 Discriminative AI
                               6.3.1.1.1 Delivering precise and actionable insights across various industries with discriminative AI to drive market growth
                               6.3.1.1.2 Classification Algorithms
                               TABLE 47 CLASSIFICATION ALGORITHMS: MARKET, BY REGION, 2019–2023 (USD MILLION)
                               TABLE 48 CLASSIFICATION ALGORITHMS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2024–2030 (USD MILLION)
                               6.3.1.1.3 Regression Algorithms
                               TABLE 49 REGRESSION ALGORITHMS: MARKET, BY REGION, 2019–2023 (USD MILLION)
                               TABLE 50 REGRESSION ALGORITHMS: MARKET, BY REGION, 2024–2030 (USD MILLION)
                               6.3.1.1.4 Deep Learning Platforms
                               TABLE 51 DEEP LEARNING PLATFORMS: MARKET, BY REGION, 2019–2023 (USD MILLION)
                               TABLE 52 DEEP LEARNING PLATFORMS: MARKET, BY REGION, 2024–2030 (USD MILLION)
                               6.3.1.1.5 Ensemble Methods
                               TABLE 53 ENSEMBLE METHODS: MARKET, BY REGION, 2019–2023 (USD MILLION)
                               TABLE 54 ENSEMBLE METHODS: MARKET, BY REGION, 2024–2030 (USD MILLION)
                    6.3.1.2 Generative AI
                               6.3.1.2.1 Statistical models to provide powerful way to capture complex patterns in data and generate precise outputs
                               6.3.1.2.2 Rule-based Generative AI Models
                               TABLE 55 RULE-BASED GENERATIVE AI MODELS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2019–2023 (USD MILLION)
                               TABLE 56 RULE-BASED GENERATIVE AI MODELS: MARKET, BY REGION, 2024–2030 (USD MILLION)
                               6.3.1.2.3 Statistical-based Generative AI Models
                               TABLE 57 STATISTICAL-BASED GENERATIVE AI MODELS: MARKET, BY REGION, 2019–2023 (USD MILLION)
                               TABLE 58 STATISTICAL-BASED GENERATIVE AI MODELS: MARKET, BY REGION, 2024–2030 (USD MILLION)
                               6.3.1.2.4 Deep Learning Generative AI Platforms
                               TABLE 59 DEEP LEARNING GENERATIVE AI PLATFORMS: MARKET, BY REGION, 2019–2023 (USD MILLION)
                               TABLE 60 DEEP LEARNING GENERATIVE AI PLATFORMS: MARKET, BY REGION, 2024–2030 (USD MILLION)
                               6.3.1.2.5 Generative Adversarial Networks (GANs)
                               TABLE 61 GENERATIVE ADVERSARIAL NETWORKS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2019–2023 (USD MILLION)
                               TABLE 62 GENERATIVE ADVERSARIAL NETWORKS: MARKET, BY REGION, 2024–2030 (USD MILLION)
                               6.3.1.2.6 Autoencoders
                               TABLE 63 AUTOENCODERS: MARKET, BY REGION, 2019–2023 (USD MILLION)
                               TABLE 64 AUTOENCODERS: MARKET, BY REGION, 2024–2030 (USD MILLION)
                               6.3.1.2.7 Convolutional Neural Networks (CNNs)
                               TABLE 65 CONVOLUTIONAL NEURAL NETWORKS: MARKET, BY REGION, 2019–2023 (USD MILLION)
                               TABLE 66 CONVOLUTIONAL NEURAL NETWORKS: MARKET, BY REGION, 2024–2030 (USD MILLION)
                               6.3.1.2.8 Transformer Models
                               TABLE 67 TRANSFORMER MODELS: MARKET, BY REGION, 2019–2023 (USD MILLION)
                               TABLE 68 TRANSFORMER MODELS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2024–2030 (USD MILLION)
                                             6.3.1.2.8.1 Bidirectional Encoder Representations from Transformers (BERT)
                                             6.3.1.2.8.2 Generative Pre-trained Transformer 1 (GPT-1)
                                             6.3.1.2.8.3 Generative Pre-trained Transformer-2 (GPT-2)
                                             6.3.1.2.8.4 Generative Pre-trained Transformer-3 (GPT-3)
                                             6.3.1.2.8.5 Generative Pre-trained Transformer-4 (GPT-4)
                                             6.3.1.2.8.6 Language Model for Dialogue Applications (LaMDA)
                                             6.3.1.2.8.7 Other transformer models
           6.3.2 SOFTWARE, BY DEPLOYMENT MODE
                    FIGURE 67 CLOUD SEGMENT TO REGISTER HIGHER CAGR DURING FORECAST PERIOD
                    TABLE 69 SOFTWARE: ARTIFICIAL INTELLIGENCE MARKET, BY DEPLOYMENT MODE, 2019–2023 (USD BILLION)
                    TABLE 70 SOFTWARE: MARKET, BY DEPLOYMENT MODE, 2024–2030 (USD BILLION)
                    6.3.2.1 Cloud
                               6.3.2.1.1 Handling large-scale data and computing-intensive tasks seamlessly with cloud-based deployment to drive market growth
                               TABLE 71 CLOUD: MARKET, BY REGION, 2019–2023 (USD BILLION)
                               TABLE 72 CLOUD: MARKET, BY REGION, 2024–2030 (USD BILLION)
                    6.3.2.2 On-premises
                               6.3.2.2.1 On-premises deployment mode to offer enhanced security, compliance, and tailored performance
                               TABLE 73 ON-PREMISES: MARKET, BY REGION, 2019–2023 (USD BILLION)
                               TABLE 74 ON-PREMISES: MARKET, BY REGION, 2024–2030 (USD BILLION)
           6.3.3 SOFTWARE, BY CODING AUTOMATION
                    FIGURE 68 NO-CODE AI SEGMENT TO WITNESS HIGHER GROWTH RATE DURING FORECAST PERIOD
                    TABLE 75 SOFTWARE: ARTIFICIAL INTELLIGENCE MARKET, BY CODING AUTOMATION, 2019–2023 (USD MILLION)
                    TABLE 76 SOFTWARE: MARKET, BY CODING AUTOMATION, 2024–2030 (USD MILLION)
                    6.3.3.1 No-code AI
                               6.3.3.1.1 No-code AI to democratize use of advanced AI technologies, fostering innovation across various sectors
                               TABLE 77 NO-CODE AI: MARKET, BY REGION, 2019–2023 (USD MILLION)
                               TABLE 78 NO-CODE AI: MARKET, BY REGION, 2024–2030 (USD MILLION)
                    6.3.3.2 Low-code AI
                               6.3.3.2.1 Low-code AI to provide common framework for developing and refining AI models
                               TABLE 79 LOW-CODE AI: MARKET, BY REGION, 2019–2023 (USD MILLION)
                               TABLE 80 LOW-CODE AI: MARKET, BY REGION, 2024–2030 (USD MILLION)
    6.4 SERVICES 
           FIGURE 69 MANAGED SERVICES TO REGISTER HIGHER CAGR IN MARKET DURING FORECAST PERIOD
           TABLE 81 ARTIFICIAL INTELLIGENCE MARKET, BY SERVICE, 2019–2023 (USD MILLION)
           TABLE 82 MARKET, BY SERVICE, 2024–2030 (USD MILLION)
           6.4.1 PROFESSIONAL SERVICES
                    6.4.1.1 Professional services to help organizations sustain benefits of AI technology, ensuring continuous improvement and competitive advantage
                               FIGURE 70 SUPPORT & MAINTENANCE TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
                               TABLE 83 SERVICES: MARKET, BY PROFESSIONAL SERVICE, 2019–2023 (USD MILLION)
                               TABLE 84 SERVICES: MARKET, BY PROFESSIONAL SERVICE, 2024–2030 (USD MILLION)
                    6.4.1.2 Training & consulting
                               TABLE 85 TRAINING & CONSULTING: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2019–2023 (USD MILLION)
                               TABLE 86 TRAINING & CONSULTING: MARKET, BY REGION, 2024–2030 (USD MILLION)
                    6.4.1.3 System integration & deployment
                               TABLE 87 SYSTEM INTEGRATION & DEPLOYMENT: MARKET, BY REGION, 2019–2023 (USD MILLION)
                               TABLE 88 SYSTEM INTEGRATION & DEPLOYMENT: MARKET, BY REGION, 2024–2030 (USD MILLION)
                    6.4.1.4 Support & maintenance
                               TABLE 89 SUPPORT & MAINTENANCE: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2019–2023 (USD MILLION)
                               TABLE 90 SUPPORT & MAINTENANCE: MARKET, BY REGION, 2024–2030 (USD MILLION)
           6.4.2 MANAGED SERVICES
                    6.4.2.1 Managed services to provide end-to-end management for artificial intelligence, helping businesses focus on core competencies
                               TABLE 91 MANAGED SERVICES: MARKET, BY REGION, 2019–2023 (USD MILLION)
                               TABLE 92 MANAGED SERVICES: MARKET, BY REGION, 2024–2030 (USD MILLION)
 
7 ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY (Page No. - 213)
    7.1 INTRODUCTION 
           7.1.1 TECHNOLOGY: MARKET DRIVERS
                    FIGURE 71 CONTEXT AWARE AI TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
                    TABLE 93 MARKET, BY TECHNOLOGY, 2019–2023 (USD BILLION)
                    TABLE 94 MARKET, BY TECHNOLOGY, 2024–2030 (USD BILLION)
    7.2 MACHINE LEARNING 
           7.2.1 MACHINE LEARNING ALGORITHMS TO ENABLE SYSTEMS TO LEARN FROM DATA, ENHANCING THEIR ACCURACY AND EFFICIENCY
                    TABLE 95 MARKET, BY MACHINE LEARNING, 2019–2023 (USD BILLION)
                    TABLE 96 MARKET, BY MACHINE LEARNING, 2024–2030 (USD BILLION)
           7.2.2 SUPERVISED LEARNING
                    TABLE 97 SUPERVISED LEARNING: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2019–2023 (USD MILLION)
                    TABLE 98 SUPERVISED LEARNING: MARKET, BY REGION, 2024–2030 (USD MILLION)
           7.2.3 UNSUPERVISED LEARNING
                    TABLE 99 UNSUPERVISED LEARNING: MARKET, BY REGION, 2019–2023 (USD MILLION)
                    TABLE 100 UNSUPERVISED LEARNING: MARKET, BY REGION, 2024–2030 (USD MILLION)
           7.2.4 REINFORCEMENT LEARNING
                    TABLE 101 REINFORCEMENT LEARNING: MARKET, BY REGION, 2019–2023 (USD MILLION)
                    TABLE 102 REINFORCEMENT LEARNING: MARKET, BY REGION, 2024–2030 (USD MILLION)
    7.3 NATURAL LANGUAGE PROCESSING 
           7.3.1 BUSINESSES TO LEVERAGE NLP TO ENHANCE CUSTOMER SERVICE THROUGH ADVANCED CHATBOTS AND VIRTUAL ASSISTANTS
                    TABLE 103 MARKET, BY NATURAL LANGUAGE PROCESSING, 2019–2023 (USD BILLION)
                    TABLE 104 MARKET, BY NATURAL LANGUAGE PROCESSING, 2024–2030 (USD BILLION)
           7.3.2 NATURAL LANGUAGE UNDERSTANDING (NLU)
                    TABLE 105 NATURAL LANGUAGE UNDERSTANDING: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2019–2023 (USD MILLION)
                    TABLE 106 NATURAL LANGUAGE UNDERSTANDING: MARKET, BY REGION, 2024–2030 (USD MILLION)
                    7.3.2.1 Text Classification
                    7.3.2.2 Named Entity Recognition (NER)
                    7.3.2.3 Intent Recognition
                    7.3.2.4 Relationship Extraction
                    7.3.2.5 Other NLU Technologies
           7.3.3 NATURAL LANGUAGE GENERATION
                    TABLE 107 NATURAL LANGUAGE GENERATION: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2019–2023 (USD MILLION)
                    TABLE 108 NATURAL LANGUAGE GENERATION: MARKET, BY REGION, 2024–2030 (USD MILLION)
                    7.3.3.1 Text Summarization
                    7.3.3.2 Machine Translation
                    7.3.3.3 Language Modeling
                    7.3.3.4 Dialogue Generation
    7.4 COMPUTER VISION 
           7.4.1 GROWING DEMAND FOR AUTOMATION, EFFICIENCY, AND ENHANCED DECISION-MAKING TO DRIVE ADOPTION OF COMPUTER VISION TECHNOLOGY
                    TABLE 109 ARTIFICIAL INTELLIGENCE MARKET, BY COMPUTER VISION, 2019–2023 (USD BILLION)
                    TABLE 110 MARKET, BY COMPUTER VISION, 2024–2030 (USD BILLION)
           7.4.2 OBJECT DETECTION
                    TABLE 111 OBJECT DETECTION: MARKET, BY REGION, 2019–2023 (USD MILLION)
                    TABLE 112 OBJECT DETECTION: MARKET, BY REGION, 2024–2030 (USD MILLION)
           7.4.3 IMAGE CLASSIFICATION
                    TABLE 113 IMAGE CLASSIFICATION: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2019–2023 (USD MILLION)
                    TABLE 114 IMAGE CLASSIFICATION: MARKET, BY REGION, 2024–2030 (USD MILLION)
           7.4.4 SEMANTIC SEGMENTATION
                    TABLE 115 SEMANTIC SEGMENTATION: MARKET, BY REGION, 2019–2023 (USD MILLION)
                    TABLE 116 SEMANTIC SEGMENTATION: MARKET, BY REGION, 2024–2030 (USD MILLION)
           7.4.5 FACIAL RECOGNITION
                    TABLE 117 FACIAL RECOGNITION: MARKET, BY REGION, 2019–2023 (USD MILLION)
                    TABLE 118 FACIAL RECOGNITION: MARKET, BY REGION, 2024–2030 (USD MILLION)
           7.4.6 OTHER COMPUTER VISION TECHNOLOGIES
                    TABLE 119 OTHER COMPUTER VISION TECHNOLOGIES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2019–2023 (USD MILLION)
                    TABLE 120 OTHER COMPUTER VISION TECHNOLOGIES: MARKET, BY REGION, 2024–2030 (USD MILLION)
    7.5 CONTEXT-AWARE ARTIFICIAL INTELLIGENCE (CAAI) 
           7.5.1 USING CONTEXT ENHANCES DECISION-MAKING PROCESSES AND IMPROVES ABILITY TO INTERACT WITH USE OF CONTEXT-AWARE AI
                    TABLE 121 MARKET, BY CONTEXT-AWARE ARTIFICIAL INTELLIGENCE, 2019–2023 (USD MILLION)
                    TABLE 122 MARKET, BY CONTEXT-AWARE ARTIFICIAL INTELLIGENCE, 2024–2030 (USD MILLION)
           7.5.2 CONTEXT-AWARE RECOMMENDATION SYSTEMS
                    TABLE 123 CONTEXT-AWARE RECOMMENDATION SYSTEMS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2019–2023 (USD MILLION)
                    TABLE 124 CONTEXT-AWARE RECOMMENDATION SYSTEMS: MARKET, BY REGION, 2024–2030 (USD MILLION)
           7.5.3 MULTI-MODAL AI
                    TABLE 125 MULTI-MODAL AI: MARKET, BY REGION, 2019–2023 (USD MILLION)
                    TABLE 126 MULTI-MODAL AI: MARKET, BY REGION, 2024–2030 (USD MILLION)
           7.5.4 CONTEXT-AWARE VIRTUAL ASSISTANTS
                    TABLE 127 CONTEXT-AWARE VIRTUAL ASSISTANTS: MARKET, BY REGION, 2019–2023 (USD MILLION)
                    TABLE 128 CONTEXT-AWARE VIRTUAL ASSISTANTS: MARKET, BY REGION, 2024–2030 (USD MILLION)
 
8 ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION (Page No. - 237)
    8.1 INTRODUCTION 
           8.1.1 BUSINESS FUNCTION: MARKET DRIVERS
                    FIGURE 72 CYBERSECURITY TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
                    TABLE 129 ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2019–2023 (USD BILLION)
                    TABLE 130 MARKET, BY BUSINESS FUNCTION, 2024–2030 (USD BILLION)
    8.2 MARKETING & SALES 
           8.2.1 AI IN MARKETING & SALES TO ENHANCE CUSTOMER ENGAGEMENT, PERSONALIZE MARKETING EFFORTS, AND OPTIMIZE SALES PROCESSES
                    TABLE 131 MARKETING & SALES: MARKET, BY REGION, 2019–2023 (USD BILLION)
                    TABLE 132 MARKETING & SALES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2024–2030 (USD BILLION)
           8.2.2 CUSTOMER SEGMENTATION
           8.2.3 PREDICTIVE LEAD SCORING
           8.2.4 PERSONALIZED RECOMMENDATIONS
           8.2.5 DYNAMIC PRICING OPTIMIZATION
           8.2.6 CHURN PREDICTION
           8.2.7 SENTIMENT ANALYSIS
           8.2.8 MARKETING ATTRIBUTION
           8.2.9 OTHERS
    8.3 HUMAN RESOURCES 
           8.3.1 DEPLOYMENT OF AI-DRIVEN CHATBOTS IN HR TO HELP IN HANDLING ROUTINE INQUIRIES FROM EMPLOYEES AND INCREASE EFFICIENCY
                    TABLE 133 HUMAN RESOURCES: MARKET, BY REGION, 2019–2023 (USD BILLION)
                    TABLE 134 HUMAN RESOURCES: MARKET, BY REGION, 2024–2030 (USD BILLION)
           8.3.2 CANDIDATE SCREENING
           8.3.3 EMPLOYEE RETENTION ANALYSIS
           8.3.4 PERFORMANCE MANAGEMENT
           8.3.5 WORKFORCE PLANNING AND FORECASTING
           8.3.6 EMPLOYEE FEEDBACK ANALYSIS
           8.3.7 SKILL GAP ANALYSIS
           8.3.8 DIVERSITY AND INCLUSION ANALYTICS
           8.3.9 OTHERS
    8.4 FINANCE & ACCOUNTING 
           8.4.1 AI IN FINANCE & ACCOUNTING TO HELP STREAMLINE PROCESSES, ENHANCE ACCURACY, AND PROVIDE VALUABLE INSIGHTS FOR DECISION-MAKING
                    TABLE 135 FINANCE & ACCOUNTING: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2019–2023 (USD BILLION)
                    TABLE 136 FINANCE & ACCOUNTING: MARKET, BY REGION, 2024–2030 (USD BILLION)
           8.4.2 FRAUD DETECTION
           8.4.3 FINANCIAL FORECASTING
           8.4.4 EXPENSE MANAGEMENT
           8.4.5 INVOICE PROCESSING
           8.4.6 CREDIT RISK ASSESSMENT
           8.4.7 REGULATORY COMPLIANCE
           8.4.8 BUDGETING AND PLANNING
           8.4.9 OTHERS
    8.5 OPERATIONS 
           8.5.1 PREVENTING COSTLY DOWNTIME AND EXTENDING LIFESPAN OF ASSETS WITH USE OF AI IN OPERATIONS TO DRIVE MARKET GROWTH
                    TABLE 137 OPERATIONS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2019–2023 (USD BILLION)
                    TABLE 138 OPERATIONS: MARKET, BY REGION, 2024–2030 (USD BILLION)
           8.5.2 PREDICTIVE MAINTENANCE
           8.5.3 SUPPLY CHAIN OPTIMIZATION
           8.5.4 AIOPS
           8.5.5 IT SERVICE MANAGEMENT
           8.5.6 QUALITY CONTROL
           8.5.7 ROUTE OPTIMIZATION
           8.5.8 COLD CHAIN MONITORING
           8.5.9 INVENTORY MANAGEMENT
           8.5.10 PROCUREMENT AUTOMATION
           8.5.11 EQUIPMENT FAILURE PREDICTION
           8.5.12 OTHERS
    8.6 CYBERSECURITY 
           8.6.1 AI USED IN CONTINUOUSLY SCANNING NETWORKS AND SYSTEMS TO DETECT AND ADDRESS SECURITY WEAKNESSES
                    TABLE 139 CYBERSECURITY: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2019–2023 (USD BILLION)
                    TABLE 140 CYBERSECURITY: MARKET, BY REGION, 2024–2030 (USD BILLION)
           8.6.2 THREAT DETECTION & RESPONSE
           8.6.3 ANOMALY DETECTION
           8.6.4 VULNERABILITY ASSESSMENT
           8.6.5 IDENTITY AND ACCESS MANAGEMENT
           8.6.6 SECURITY AUTOMATION AND ORCHESTRATION
           8.6.7 ENDPOINT PROTECTION
           8.6.8 NETWORK TRAFFIC ANALYSIS
           8.6.9 OTHERS
 
9 ARTIFICIAL INTELLIGENCE (AI) MARKET, BY VERTICAL (Page No. - 261)
    9.1 INTRODUCTION 
           9.1.1 VERTICAL: ARTIFICIAL INTELLIGENCE MARKET DRIVERS
                    FIGURE 73 HEALTHCARE & LIFE SCIENCES TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
                    TABLE 141 MARKET, BY VERTICAL, 2019–2023 (USD BILLION)
                    TABLE 142 ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2024–2030 (USD BILLION)
    9.2 BFSI 
           9.2.1 BANKS ACHIEVED INCREASED PRODUCTIVITY AND COST REDUCTION THROUGH ADOPTION OF ADVANCED ALGORITHMS AND DATA ANALYSIS
                    TABLE 143 BFSI: MARKET, BY REGION, 2019–2023 (USD BILLION)
                    TABLE 144 BFSI: MARKET, BY REGION, 2024–2030 (USD BILLION)
                    TABLE 145 BFSI: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2019–2023 (USD BILLION)
                    TABLE 146 BFSI: MARKET, BY APPLICATION, 2024–2030 (USD BILLION)
           9.2.2 FRAUD DETECTION & PREVENTION
           9.2.3 RISK ASSESSMENT & MANAGEMENT
           9.2.4 ALGORITHMIC TRADING
           9.2.5 CREDIT SCORING & UNDERWRITING
           9.2.6 CUSTOMER SERVICE AUTOMATION
           9.2.7 PERSONALIZED FINANCIAL RECOMMENDATION
           9.2.8 INVESTMENT PORTFOLIO MANAGEMENT
           9.2.9 REGULATORY COMPLIANCE MONITORING
           9.2.10 OTHER BFSI APPLICATIONS
    9.3 RETAIL & ECOMMERCE 
           9.3.1 AI TO ALLOW PERSONALIZED SHOPPING EXPERIENCES AND TAILORED PRODUCT RECOMMENDATIONS IN RETAIL & ECOMMERCE
                    TABLE 147 RETAIL & ECOMMERCE: MARKET, BY REGION, 2019–2023 (USD BILLION)
                    TABLE 148 RETAIL & ECOMMERCE: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2024–2030 (USD BILLION)
                    TABLE 149 RETAIL & ECOMMERCE: MARKET, BY APPLICATION, 2019–2023 (USD BILLION)
                    TABLE 150 RETAIL & ECOMMERCE: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2024–2030 (USD BILLION)
           9.3.2 PERSONALIZED PRODUCT RECOMMENDATION
           9.3.3 CUSTOMER RELATIONSHIP MANAGEMENT
           9.3.4 VISUAL SEARCH
           9.3.5 VIRTUAL CUSTOMER ASSISTANT
           9.3.6 PRICE OPTIMIZATION
           9.3.7 SUPPLY CHAIN MANAGEMENT & DEMAND PLANNING
           9.3.8 VIRTUAL STORES
           9.3.9 OTHER RETAIL & ECOMMERCE APPLICATIONS
    9.4 MANUFACTURING 
           9.4.1 ADOPTION OF INTELLIGENT SYSTEMS TO AUTOMATE AND OPTIMIZE OPERATIONS IN MANUFACTURING
                    TABLE 151 MANUFACTURING: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2019–2023 (USD BILLION)
                    TABLE 152 MANUFACTURING: MARKET, BY REGION, 2024–2030 (USD BILLION)
                    TABLE 153 MANUFACTURING: MARKET, BY APPLICATION, 2019–2023 (USD BILLION)
                    TABLE 154 MANUFACTURING: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2024–2030 (USD BILLION)
           9.4.2 PREDICTIVE MAINTENANCE & MACHINERY INSPECTION
           9.4.3 MATERIAL MOVEMENT MANAGEMENT
           9.4.4 PRODUCTION PLANNING
           9.4.5 RECYCLABLE MATERIAL RECLAMATION
           9.4.6 QUALITY CONTROL
           9.4.7 PRODUCTION LINE OPTIMIZATION
           9.4.8 INTELLIGENT INVENTORY MANAGEMENT
           9.4.9 OTHER MANUFACTURING APPLICATIONS
    9.5 GOVERNMENT & DEFENSE 
           9.5.1 INITIATIVES TAKEN BY GOVERNMENTS TO STRENGTHEN NATIONAL SECURITY WILL DRIVE MARKET GROWTH
                    TABLE 155 GOVERNMENT & DEFENSE: MARKET, BY REGION, 2019–2023 (USD BILLION)
                    TABLE 156 GOVERNMENT & DEFENSE: MARKET, BY REGION, 2024–2030 (USD BILLION)
                    TABLE 157 GOVERNMENT & DEFENSE: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2019–2023 (USD BILLION)
                    TABLE 158 GOVERNMENT & DEFENSE: MARKET, BY APPLICATION, 2024–2030 (USD BILLION)
           9.5.2 SURVEILLANCE & SITUATIONAL AWARENESS
           9.5.3 LAW ENFORCEMENT
           9.5.4 INTELLIGENCE ANALYSIS & DATA PROCESSING
           9.5.5 SIMULATION & TRAINING
           9.5.6 COMMAND & CONTROL
           9.5.7 DISASTER RESPONSE & RECOVERY ASSISTANCE
           9.5.8 E-GOVERNANCE & DIGITAL CITY SERVICES
           9.5.9 OTHER GOVERNMENT & DEFENSE APPLICATIONS
    9.6 HEALTHCARE & LIFE SCIENCES 
           9.6.1 LEVERAGING VAST DATASETS TO PROVIDE CLINICAL DECISION SUPPORT AND IMPROVING PATIENT CARE WITH AI
                    TABLE 159 HEALTHCARE & LIFE SCIENCES: MARKET, BY REGION, 2019–2023 (USD BILLION)
                    TABLE 160 HEALTHCARE & LIFE SCIENCES: MARKET, BY REGION, 2024–2030 (USD BILLION)
                    TABLE 161 HEALTHCARE & LIFE SCIENCES: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2019–2023 (USD BILLION)
                    TABLE 162 HEALTHCARE & LIFE SCIENCES: MARKET, BY APPLICATION, 2024–2030 (USD BILLION)
           9.6.2 PATIENT DATA & RISK ANALYSIS
           9.6.3 LIFESTYLE MANAGEMENT & MONITORING AND WEARABLES
           9.6.4 PRECISION MEDICINE
           9.6.5 IN-PATIENT CARE & HOSPITAL MANAGEMENT
           9.6.6 MEDICAL IMAGING & DIAGNOSTICS
           9.6.7 DRUG DISCOVERY
           9.6.8 AI-ASSISTED MEDICAL SERVICES
           9.6.9 MEDICAL RESEARCH
           9.6.10 OTHER HEALTHCARE & LIFE SCIENCES APPLICATIONS
    9.7 TELECOMMUNICATIONS 
           9.7.1 AI TO HELP IN EFFICIENTLY MANAGING INCREASING DATA TRAFFIC AND IMPROVING PERFORMANCE OF NETWORKS
                    TABLE 163 TELECOM: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2019–2023 (USD BILLION)
                    TABLE 164 TELECOM: MARKET, BY REGION, 2024–2030 (USD BILLION)
                    TABLE 165 TELECOMMUNICATIONS: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2019–2023 (USD BILLION)
                    TABLE 166 TELECOMMUNICATIONS: MARKET, BY APPLICATION, 2024–2030 (USD BILLION)
           9.7.2 NETWORK OPTIMIZATION
           9.7.3 NETWORK SECURITY
           9.7.4 CUSTOMER SERVICE & SUPPORT
           9.7.5 NETWORK ANALYTICS
           9.7.6 INTELLIGENT CALL ROUTING
           9.7.7 NETWORK FAULT PREDICTION
           9.7.8 VIRTUAL NETWORK ASSISTANT
           9.7.9 VOICE & SPEECH RECOGNITION
           9.7.10 OTHER TELECOMMUNICATIONS APPLICATIONS
    9.8 ENERGY & UTILITIES 
           9.8.1 EFFICIENT ENERGY UTILIZATION AND COST SAVINGS BY LEVERAGING ARTIFICIAL INTELLIGENCE TO DRIVE MARKET GROWTH
                    TABLE 167 ENERGY & UTILITIES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2019–2023 (USD BILLION)
                    TABLE 168 ENERGY & UTILITIES: MARKET, BY REGION, 2024–2030 (USD BILLION)
                    TABLE 169 ENERGY & UTILITIES: MARKET, BY APPLICATION, 2019–2023 (USD BILLION)
                    TABLE 170 ENERGY & UTILITIES: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2024–2030 (USD BILLION)
           9.8.2 ENERGY DEMAND FORECASTING
           9.8.3 GRID OPTIMIZATION & MANAGEMENT
           9.8.4 ENERGY CONSUMPTION ANALYTICS
           9.8.5 SMART METERING & ENERGY DATA MANAGEMENT
           9.8.6 ENERGY STORAGE OPTIMIZATION
           9.8.7 REAL-TIME ENERGY MONITORING & CONTROL
           9.8.8 POWER QUALITY MONITORING & MANAGEMENT
           9.8.9 ENERGY TRADING & MARKETING FORECASTING
           9.8.10 INTELLIGENT ENERGY MANAGEMENT SYSTEMS
           9.8.11 OTHER ENERGY & UTILITIES APPLICATIONS
    9.9 AUTOMOTIVE, TRANSPORTATION, AND LOGISTICS 
           9.9.1 ADVANCEMENTS IN MACHINE LEARNING, COMPUTER VISION, AND DATA ANALYTICS TO DRIVE MARKET GROWTH
                    TABLE 171 AUTOMOTIVE, TRANSPORTATION, AND LOGISTICS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2019–2023 (USD BILLION)
                    TABLE 172 AUTOMOTIVE, TRANSPORTATION, AND LOGISTICS: MARKET, BY REGION, 2024–2030 (USD BILLION)
                    TABLE 173 AUTOMOTIVE, TRANSPORTATION, AND LOGISTICS: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2019–2023 (USD BILLION)
                    TABLE 174 AUTOMOTIVE, TRANSPORTATION, AND LOGISTICS: MARKET, BY APPLICATION, 2024–2030 (USD BILLION)
           9.9.2 SUPPLY CHAIN VISIBILITY AND TRACKING
           9.9.3 ROUTE OPTIMIZATION
           9.9.4 INTELLIGENT TRAFFIC MANAGEMENT
           9.9.5 DRIVER ASSISTANCE SYSTEMS
           9.9.6 SMART LOGISTICS & WAREHOUSING
           9.9.7 SEMI-AUTONOMOUS & AUTONOMOUS VEHICLES
           9.9.8 FLEET MANAGEMENT
           9.9.9 VEHICLE DIAGNOSTICS AND TELEMATICS
           9.9.10 OTHER AUTOMOTIVE, TRANSPORTATION, AND LOGISTICS APPLICATIONS
    9.10 AGRICULTURE 
           9.10.1 AGRICULTURE INDUSTRY HAS POTENTIAL TO ENHANCE PRODUCTIVITY, REDUCE COSTS, AND MINIMIZE WASTE USING AI
                    TABLE 175 AGRICULTURE: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2019–2023 (USD MILLION)
                    TABLE 176 AGRICULTURE: MARKET, BY REGION, 2024–2030 (USD MILLION)
                    TABLE 177 AGRICULTURE: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2019–2023 (USD MILLION)
                    TABLE 178 AGRICULTURE: MARKET, BY APPLICATION, 2024–2030 (USD MILLION)
           9.10.2 CROP MONITORING & YIELD PREDICTION
           9.10.3 PRECISION FARMING
           9.10.4 SOIL ANALYSIS & NUTRIENT MANAGEMENT
           9.10.5 PEST & DISEASE DETECTION
           9.10.6 IRRIGATION OPTIMIZATION & WATER MANAGEMENT
           9.10.7 AUTOMATED HARVESTING & SORTING
           9.10.8 WEED DETECTION & MANAGEMENT
           9.10.9 WEATHER & CLIMATE MONITORING
                    9.10.10 LIVESTOCK MONITORING & HEALTH MANAGEMENT
                    9.10.11 OTHER AGRICULTURAL APPLICATIONS
    9.11 IT/ITES 
           9.11.1 RISE IN OPPORTUNITIES TO ENHANCE CUSTOMER EXPERIENCES AND DRIVE COMPETITIVE ADVANTAGE BY LEVERAGING AI
                    TABLE 179 IT/ITES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2019–2023 (USD BILLION)
                    TABLE 180 IT/ITES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2024–2030 (USD BILLION)
                    TABLE 181 IT/ITES: MARKET, BY APPLICATION, 2019–2023 (USD BILLION)
                    TABLE 182 IT/ITES: MARKET, BY APPLICATION, 2024–2030 (USD BILLION)
           9.11.2 AUTOMATED CODE GENERATION & OPTIMIZATION
           9.11.3 AUTOMATED IT ASSET MANAGEMENT
           9.11.4 IT TICKETING & SUPPORT AUTOMATION
           9.11.5 INTELLIGENT DATA BACKUP & RECOVERY
           9.11.6 AUTOMATED SOFTWARE TESTING & QUALITY ASSURANCE
           9.11.7 OTHER IT/ITES APPLICATIONS
    9.12 MEDIA & ENTERTAINMENT 
           9.12.1 AI TO ENABLE MEDIA & ENTERTAINMENT COMPANIES TO ANALYZE VAST AMOUNTS OF DATA, AUTOMATE PROCESSES, AND EXTRACT VALUABLE INSIGHTS
                    TABLE 183 MEDIA & ENTERTAINMENT: MARKET, BY REGION, 2019–2023 (USD BILLION)
                    TABLE 184 MEDIA & ENTERTAINMENT: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2024–2030 (USD BILLION)
                    TABLE 185 MEDIA & ENTERTAINMENT: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2019–2023 (USD BILLION)
                    TABLE 186 MEDIA & ENTERTAINMENT: MARKET, BY APPLICATION, 2024–2030 (USD BILLION)
           9.12.2 CONTENT RECOMMENDATION SYSTEMS
           9.12.3 CONTENT CREATION & GENERATION
           9.12.4 CONTENT COPYRIGHT PROTECTION
           9.12.5 AUDIENCE ANALYTICS AND SEGMENTATION
           9.12.6 PERSONALIZED ADVERTISING
           9.12.7 OTHER MEDIA & ENTERTAINMENT APPLICATIONS
    9.13 OTHER VERTICALS 
                    TABLE 187 OTHER VERTICALS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2019–2023 (USD BILLION)
                    TABLE 188 OTHER VERTICALS: MARKET, BY REGION, 2024–2030 (USD BILLION)
 
10 ARTIFICIAL INTELLIGENCE (AI) MARKET, BY REGION (Page No. - 315)
     10.1 INTRODUCTION 
               FIGURE 74 INDIA TO ACCOUNT FOR HIGHEST CAGR DURING FORECAST PERIOD
               FIGURE 75 ASIA PACIFIC TO ACCOUNT FOR HIGHEST CAGR DURING FORECAST PERIOD
               TABLE 189 MARKET, BY REGION, 2019–2023 (USD BILLION)
               TABLE 190 MARKET, BY REGION, 2024–2030 (USD BILLION)
     10.2 NORTH AMERICA 
             10.2.1 NORTH AMERICA: ARTIFICIAL INTELLIGENCE MARKET DRIVERS
             10.2.2 NORTH AMERICA: RECESSION IMPACT
                       FIGURE 76 NORTH AMERICA: MARKET SNAPSHOT
                       TABLE 191 NORTH AMERICA: MARKET, BY OFFERING, 2019–2023 (USD BILLION)
                       TABLE 192 NORTH AMERICA: MARKET, BY OFFERING, 2024–2030 (USD BILLION)
                       TABLE 193 NORTH AMERICA: MARKET, BY HARDWARE, 2019–2023 (USD BILLION)
                       TABLE 194 NORTH AMERICA: MARKET, BY HARDWARE, 2024–2030 (USD BILLION)
                       TABLE 195 NORTH AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY SOFTWARE TYPE, 2019–2023 (USD BILLION)
                       TABLE 196 NORTH AMERICA: MARKET, BY SOFTWARE TYPE, 2024–2030 (USD BILLION)
                       TABLE 197 NORTH AMERICA: MARKET, BY SOFTWARE DEPLOYMENT MODE, 2019–2023 (USD BILLION)
                       TABLE 198 NORTH AMERICA: MARKET, BY SOFTWARE DEPLOYMENT MODE, 2024–2030 (USD BILLION)
                       TABLE 199 NORTH AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY CODING AUTOMATION, 2019–2023 (USD BILLION)
                       TABLE 200 NORTH AMERICA: MARKET, BY CODING AUTOMATION, 2024–2030 (USD BILLION)
                       TABLE 201 NORTH AMERICA: MARKET, BY SERVICE, 2019–2023 (USD BILLION)
                       TABLE 202 NORTH AMERICA: MARKET, BY SERVICE, 2024–2030 (USD BILLION)
                       TABLE 203 NORTH AMERICA: MARKET, BY TECHNOLOGY, 2019–2023 (USD BILLION)
                       TABLE 204 NORTH AMERICA: MARKET, BY TECHNOLOGY, 2024–2030 (USD BILLION)
                       TABLE 205 NORTH AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2019–2023 (USD BILLION)
                       TABLE 206 NORTH AMERICA: MARKET, BY BUSINESS FUNCTION, 2024–2030 (USD BILLION)
                       TABLE 207 NORTH AMERICA: MARKET, BY VERTICAL, 2019–2023 (USD BILLION)
                       TABLE 208 NORTH AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2024–2030 (USD BILLION)
                       TABLE 209 NORTH AMERICA: MARKET, BY COUNTRY, 2019–2023 (USD BILLION)
                       TABLE 210 NORTH AMERICA: MARKET, BY COUNTRY, 2024–2030 (USD BILLION)
             10.2.3 US
                       10.2.3.1 Growth initiatives by US government and businesses to drive market growth
                                   TABLE 211 US: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
                                   TABLE 212 US: MARKET, BY OFFERING, 2024–2030 (USD MILLION)
             10.2.4 CANADA
                       10.2.4.1 Rise in adoption of technologies for research and innovation in Canada to drive market growth
                                   TABLE 213 CANADA: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
                                   TABLE 214 CANADA: MARKET, BY OFFERING, 2024–2030 (USD MILLION)
     10.3 EUROPE 
             10.3.1 EUROPE: MARKET DRIVERS
             10.3.2 EUROPE: RECESSION IMPACT
                       TABLE 215 EUROPE: MARKET, BY OFFERING, 2019–2023 (USD BILLION)
                       TABLE 216 EUROPE: MARKET, BY OFFERING, 2024–2030 (USD BILLION)
                       TABLE 217 EUROPE: MARKET, BY HARDWARE, 2019–2023 (USD BILLION)
                       TABLE 218 EUROPE: MARKET, BY HARDWARE, 2024–2030 (USD BILLION)
                       TABLE 219 EUROPE: ARTIFICIAL INTELLIGENCE MARKET, BY SOFTWARE TYPE, 2019–2023 (USD BILLION)
                       TABLE 220 EUROPE: MARKET, BY SOFTWARE TYPE, 2024–2030 (USD BILLION)
                       TABLE 221 EUROPE: MARKET, BY DEPLOYMENT MODE, 2019–2023 (USD BILLION)
                       TABLE 222 EUROPE: MARKET, BY DEPLOYMENT MODE, 2024–2030 (USD BILLION)
                       TABLE 223 EUROPE: MARKET, BY CODING AUTOMATION, 2019–2023 (USD BILLION)
                       TABLE 224 EUROPE: ARTIFICIAL INTELLIGENCE MARKET, BY CODING AUTOMATION, 2024–2030 (USD BILLION)
                       TABLE 225 EUROPE: MARKET, BY SERVICE, 2019–2023 (USD BILLION)
                       TABLE 226 EUROPE: MARKET, BY SERVICE, 2024–2030 (USD BILLION)
                       TABLE 227 EUROPE: MARKET, BY TECHNOLOGY, 2019–2023 (USD BILLION)
                       TABLE 228 EUROPE: MARKET, BY TECHNOLOGY, 2024–2030 (USD BILLION)
                       TABLE 229 EUROPE: MARKET, BY BUSINESS FUNCTION, 2019–2023 (USD BILLION)
                       TABLE 230 EUROPE: MARKET, BY BUSINESS FUNCTION, 2024–2030 (USD BILLION)
                       TABLE 231 EUROPE: ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2019–2023 (USD BILLION)
                       TABLE 232 EUROPE: MARKET, BY VERTICAL, 2024–2030 (USD BILLION)
                       TABLE 233 EUROPE: MARKET, BY COUNTRY, 2019–2023 (USD BILLION)
                       TABLE 234 EUROPE: MARKET, BY COUNTRY, 2024–2030 (USD BILLION)
             10.3.3 UK
                       10.3.3.1 Continuous investments and initiatives by UK government to bolster growth of AI market
                                   TABLE 235 UK: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2019–2023 (USD MILLION)
                                   TABLE 236 UK: MARKET, BY OFFERING, 2024–2030 (USD MILLION)
             10.3.4 GERMANY
                       10.3.4.1 Increasing need to prioritize artificial intelligence governance aligning with regulatory frameworks to drive market growth in Germany
                                   TABLE 237 GERMANY: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
                                   TABLE 238 GERMANY: MARKET, BY OFFERING, 2024–2030 (USD MILLION)
             10.3.5 FRANCE
                       10.3.5.1 Active promotions of AI initiatives and investments in research and development to push French market forward
                                   TABLE 239 FRANCE: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2019–2023 (USD MILLION)
                                   TABLE 240 FRANCE: MARKET, BY OFFERING, 2024–2030 (USD MILLION)
             10.3.6 ITALY
                       10.3.6.1 Adoption of sophisticated technologies with thriving startup ecosystem in Italy to drive market growth
                                   TABLE 241 ITALY: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2019–2023 (USD MILLION)
                                   TABLE 242 ITALY: MARKET, BY OFFERING, 2024–2030 (USD MILLION)
             10.3.7 SPAIN
                       10.3.7.1 Initiatives by Spanish government to promote widespread adoption of artificial intelligence
                                   TABLE 243 SPAIN: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2019–2023 (USD MILLION)
                                   TABLE 244 SPAIN: MARKET, BY OFFERING, 2024–2030 (USD MILLION)
             10.3.8 NORDICS
                       TABLE 245 NORDICS: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2019–2023 (USD MILLION)
                       TABLE 246 NORDICS: MARKET, BY OFFERING, 2024–2030 (USD MILLION)
             10.3.9 BENELUX
                       TABLE 247 BENELUX: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2019–2023 (USD MILLION)
                       TABLE 248 BENELUX: MARKET, BY OFFERING, 2024–2030 (USD MILLION)
               10.3.10 REST OF EUROPE
                                   TABLE 249 REST OF EUROPE: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
                                   TABLE 250 REST OF EUROPE: MARKET, BY OFFERING, 2024–2030 (USD MILLION)
     10.4 ASIA PACIFIC 
             10.4.1 ASIA PACIFIC: MARKET DRIVERS
             10.4.2 ASIA PACIFIC: IMPACT OF RECESSION
                       FIGURE 77 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE MARKET SNAPSHOT
                       TABLE 251 ASIA PACIFIC: MARKET, BY OFFERING, 2019–2023 (USD BILLION)
                       TABLE 252 ASIA PACIFIC: MARKET, BY OFFERING, 2024–2030 (USD BILLION)
                       TABLE 253 ASIA PACIFIC: MARKET, BY HARDWARE, 2019–2023 (USD BILLION)
                       TABLE 254 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE MARKET, BY HARDWARE, 2024–2030 (USD BILLION)
                       TABLE 255 ASIA PACIFIC: MARKET, BY SOFTWARE TYPE, 2019–2023 (USD BILLION)
                       TABLE 256 ASIA PACIFIC: MARKET, BY SOFTWARE TYPE, 2024–2030 (USD BILLION)
                       TABLE 257 ASIA PACIFIC: MARKET, BY DEPLOYMENT MODE, 2019–2023 (USD BILLION)
                       TABLE 258 ASIA PACIFIC: MARKET, BY DEPLOYMENT MODE, 2024–2030 (USD BILLION)
                       TABLE 259 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE MARKET, BY CODING AUTOMATION, 2019–2023 (USD BILLION)
                       TABLE 260 ASIA PACIFIC: MARKET, BY CODING AUTOMATION, 2024–2030 (USD BILLION)
                       TABLE 261 ASIA PACIFIC: MARKET, BY SERVICE, 2019–2023 (USD BILLION)
                       TABLE 262 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE MARKET, BY SERVICE, 2024–2030 (USD BILLION)
                       TABLE 263 ASIA PACIFIC: MARKET, BY TECHNOLOGY, 2019–2023 (USD BILLION)
                       TABLE 264 ASIA PACIFIC: MARKET, BY TECHNOLOGY, 2024–2030 (USD BILLION)
                       TABLE 265 ASIA PACIFIC: MARKET, BY BUSINESS FUNCTION, 2019–2023 (USD BILLION)
                       TABLE 266 ASIA PACIFIC: MARKET, BY BUSINESS FUNCTION, 2024–2030 (USD BILLION)
                       TABLE 267 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2019–2023 (USD BILLION)
                       TABLE 268 ASIA PACIFIC: MARKET, BY VERTICAL, 2024–2030 (USD BILLION)
                       TABLE 269 ASIA PACIFIC: MARKET, BY COUNTRY, 2019–2023 (USD BILLION)
                       TABLE 270 ASIA PACIFIC: MARKET, BY COUNTRY, 2024–2030 (USD BILLION)
             10.4.3 CHINA
                       10.4.3.1 Government initiatives and regulations in favor of AI development in China to drive market growth
                                   TABLE 271 CHINA: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2019–2023 (USD MILLION)
                                   TABLE 272 CHINA: MARKET, BY OFFERING, 2024–2030 (USD MILLION)
             10.4.4 INDIA
                       10.4.4.1 Exploring generative AI for innovation and industry transformation in India to drive market growth
                                   TABLE 273 INDIA: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
                                   TABLE 274 INDIA: MARKET, BY OFFERING, 2024–2030 (USD MILLION)
             10.4.5 JAPAN
                       10.4.5.1 Japan’s diverse ecosystem of startups and established tech giants to drive innovation
                                   TABLE 275 JAPAN: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2019–2023 (USD MILLION)
                                   TABLE 276 JAPAN: MARKET, BY OFFERING, 2024–2030 (USD MILLION)
             10.4.6 SOUTH KOREA
                       10.4.6.1 Government investments in artificial intelligence infrastructure to enhance citizen services in South Korea
                                   TABLE 277 SOUTH KOREA: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
                                   TABLE 278 SOUTH KOREA: MARKET, BY OFFERING, 2024–2030 (USD MILLION)
             10.4.7 AUSTRALIA & NEW ZEALAND
                       10.4.7.1 Business experiment with gen AI applications to analyze vast amounts of data and extract valuable insights will drive market growth
                                   TABLE 279 AUSTRALIA & NEW ZEALAND: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2019–2023 (USD MILLION)
                                   TABLE 280 AUSTRALIA & NEW ZEALAND: MARKET, BY OFFERING, 2024–2030 (USD MILLION)
             10.4.8 ASEAN
                       TABLE 281 ASEAN: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2019–2023 (USD MILLION)
                       TABLE 282 ASEAN: MARKET, BY OFFERING, 2024–2030 (USD MILLION)
             10.4.9 REST OF ASIA PACIFIC
                       TABLE 283 REST OF ASIA PACIFIC: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
                       TABLE 284 REST OF ASIA PACIFIC: MARKET, BY OFFERING, 2024–2030 (USD MILLION)
     10.5 MIDDLE EAST & AFRICA 
             10.5.1 MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE MARKET DRIVERS
             10.5.2 MIDDLE EAST & AFRICA: IMPACT OF RECESSION
                       TABLE 285 MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2019–2023 (USD MILLION)
                       TABLE 286 MIDDLE EAST & AFRICA: MARKET, BY OFFERING, 2024–2030 (USD MILLION)
                       TABLE 287 MIDDLE EAST & AFRICA: MARKET, BY HARDWARE, 2019–2023 (USD MILLION)
                       TABLE 288 MIDDLE EAST & AFRICA: MARKET, BY HARDWARE, 2024–2030 (USD MILLION)
                       TABLE 289 MIDDLE EAST & AFRICA: MARKET, BY SOFTWARE TYPE, 2019–2023 (USD MILLION)
                       TABLE 290 MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE MARKET, BY SOFTWARE TYPE, 2024–2030 (USD MILLION)
                       TABLE 291 MIDDLE EAST & AFRICA: MARKET, BY DEPLOYMENT MODE, 2019–2023 (USD MILLION)
                       TABLE 292 MIDDLE EAST & AFRICA: MARKET, BY DEPLOYMENT MODE, 2024–2030 (USD MILLION)
                       TABLE 293 MIDDLE EAST & AFRICA: MARKET, BY CODING AUTOMATION, 2019–2023 (USD MILLION)
                       TABLE 294 MIDDLE EAST & AFRICA: MARKET, BY CODING AUTOMATION, 2024–2030 (USD MILLION)
                       TABLE 295 MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE MARKET, BY SERVICE, 2019–2023 (USD MILLION)
                       TABLE 296 MIDDLE EAST & AFRICA: MARKET, BY SERVICE, 2024–2030 (USD MILLION)
                       TABLE 297 MIDDLE EAST & AFRICA: MARKET, BY TECHNOLOGY, 2019–2023 (USD MILLION)
                       TABLE 298 MIDDLE EAST & AFRICA: MARKET, BY TECHNOLOGY, 2024–2030 (USD MILLION)
                       TABLE 299 MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2019–2023 (USD MILLION)
                       TABLE 300 MIDDLE EAST & AFRICA: MARKET, BY BUSINESS FUNCTION, 2024–2030 (USD MILLION)
                       TABLE 301 MIDDLE EAST & AFRICA: MARKET, BY VERTICAL, 2019–2023 (USD MILLION)
                       TABLE 302 MIDDLE EAST & AFRICA: MARKET, BY VERTICAL, 2024–2030 (USD MILLION)
                       TABLE 303 MIDDLE EAST & AFRICA: MARKET, BY COUNTRY, 2019–2023 (USD MILLION)
                       TABLE 304 MIDDLE EAST & AFRICA: MARKET, BY COUNTRY, 2024–2030 (USD MILLION)
             10.5.3 SAUDI ARABIA
                       10.5.3.1 Greater emphasis on artificial intelligence development across key industry verticals in Saudi Arabia to drive market growth
                                   TABLE 305 SAUDI ARABIA: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2019–2023 (USD MILLION)
                                   TABLE 306 SAUDI ARABIA: MARKET, BY OFFERING, 2024–2030 (USD MILLION)
                                   TABLE 307 SAUDI ARABIA: MARKET, BY TECHNOLOGY, 2019–2023 (USD MILLION)
                                   TABLE 308 SAUDI ARABIA: MARKET, BY TECHNOLOGY, 2024–2030 (USD MILLION)
                                   TABLE 309 SAUDI ARABIA: ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2019–2023 (USD MILLION)
                                   TABLE 310 SAUDI ARABIA: MARKET, BY BUSINESS FUNCTION, 2024–2030 (USD MILLION)
                                   TABLE 311 SAUDI ARABIA: MARKET, BY VERTICAL, 2019–2023 (USD MILLION)
                                   TABLE 312 SAUDI ARABIA: MARKET, BY VERTICAL, 2024–2030 (USD MILLION)
             10.5.4 UAE
                       10.5.4.1 Implementing proactive strategies and establishing regulatory frameworks for AI adoption to drive market growth
                                   TABLE 313 UAE: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
                                   TABLE 314 UAE: MARKET, BY OFFERING, 2024–2030 (USD MILLION)
             10.5.5 SOUTH AFRICA
                       10.5.5.1 Huge investments in South Africa to develop small and medium-sized enterprises for betterment of society will drive market growth
                                   TABLE 315 SOUTH AFRICA: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2019–2023 (USD MILLION)
                                   TABLE 316 SOUTH AFRICA: MARKET, BY OFFERING, 2024–2030 (USD MILLION)
             10.5.6 TURKEY
                       10.5.6.1 Turkish government fostering innovation to drive economic growth
                                   TABLE 317 TURKEY: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2019–2023 (USD MILLION)
                                   TABLE 318 TURKEY: MARKET, BY OFFERING, 2024–2030 (USD MILLION)
             10.5.7 QATAR
                       10.5.7.1 Robust and resilient physical and digital infrastructure to be key enabler for Qatar’s economic development
                                   TABLE 319 QATAR: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2019–2023 (USD MILLION)
                                   TABLE 320 QATAR: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2024–2030 (USD MILLION)
             10.5.8 EGYPT
                       10.5.8.1 Government’s strategic focus on digital transformation and innovation to drive the growth of market in Egypt
                                   TABLE 321 EGYPT: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
                                   TABLE 322 EGYPT: MARKET, BY OFFERING, 2024–2030 (USD MILLION)
             10.5.9 KUWAIT
                       10.5.9.1 Rising number of investments in AI technologies and government initiatives to push the market in Kuwait
                                   TABLE 323 KUWAIT: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2019–2023 (USD MILLION)
                                   TABLE 324 KUWAIT: MARKET, BY OFFERING, 2024–2030 (USD MILLION)
               10.5.10 REST OF MIDDLE EAST & AFRICA
                                   TABLE 325 REST OF MIDDLE EAST & AFRICA: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
                                   TABLE 326 REST OF MIDDLE EAST & AFRICA: MARKET, BY OFFERING, 2024–2030 (USD MILLION)
     10.6 LATIN AMERICA 
             10.6.1 LATIN AMERICA: MARKET DRIVERS
             10.6.2 LATIN AMERICA: IMPACT OF RECESSION
                       TABLE 327 LATIN AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2019–2023 (USD MILLION)
                       TABLE 328 LATIN AMERICA: MARKET, BY OFFERING, 2024–2030 (USD MILLION)
                       TABLE 329 LATIN AMERICA: MARKET, BY HARDWARE, 2019–2023 (USD MILLION)
                       TABLE 330 LATIN AMERICA: MARKET, BY HARDWARE, 2024–2030 (USD MILLION)
                       TABLE 331 LATIN AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY SOFTWARE TYPE, 2019–2023 (USD MILLION)
                       TABLE 332 LATIN AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY SOFTWARE TYPE, 2024–2030 (USD MILLION)
                       TABLE 333 LATIN AMERICA: MARKET, BY DEPLOYMENT MODE, 2019–2023 (USD MILLION)
                       TABLE 334 LATIN AMERICA: MARKET, BY DEPLOYMENT MODE, 2024–2030 (USD MILLION)
                       TABLE 335 LATIN AMERICA: MARKET, BY CODING AUTOMATION, 2019–2023 (USD MILLION)
                       TABLE 336 LATIN AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY CODING AUTOMATION, 2024–2030 (USD MILLION)
                       TABLE 337 LATIN AMERICA: MARKET, BY SERVICE, 2019–2023 (USD MILLION)
                       TABLE 338 LATIN AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY SERVICE, 2024–2030 (USD MILLION)
                       TABLE 339 LATIN AMERICA: MARKET, BY TECHNOLOGY, 2019–2023 (USD MILLION)
                       TABLE 340 LATIN AMERICA: MARKET, BY TECHNOLOGY, 2024–2030 (USD MILLION)
                       TABLE 341 LATIN AMERICA: MARKET, BY BUSINESS FUNCTION, 2019–2023 (USD MILLION)
                       TABLE 342 LATIN AMERICA: MARKET, BY BUSINESS FUNCTION, 2024–2030 (USD MILLION)
                       TABLE 343 LATIN AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2019–2023 (USD MILLION)
                       TABLE 344 LATIN AMERICA: MARKET, BY VERTICAL, 2024–2030 (USD MILLION)
                       TABLE 345 LATIN AMERICA: MARKET, BY COUNTRY, 2019–2023 (USD MILLION)
                       TABLE 346 LATIN AMERICA: MARKET, BY COUNTRY, 2024–2030 (USD MILLION)
             10.6.3 BRAZIL
                       10.6.3.1 Strong governmental support and growing interest from private enterprises to boost AI market in Brazil
                                   TABLE 347 BRAZIL: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
                                   TABLE 348 BRAZIL: MARKET, BY OFFERING, 2024–2030 (USD MILLION)
             10.6.4 MEXICO
                       10.6.4.1 Mexico to become digitally advanced country due to adoption of AI
                                   TABLE 349 MEXICO: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
                                   TABLE 350 MEXICO: MARKET, BY OFFERING, 2024–2030 (USD MILLION)
             10.6.5 ARGENTINA
                       10.6.5.1 Adoption of artificial intelligence to enhance processes and improve decision-making of businesses in Argentina
                                   TABLE 351 ARGENTINA: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2019–2023 (USD MILLION)
                                   TABLE 352 ARGENTINA: MARKET, BY OFFERING, 2024–2030 (USD MILLION)
             10.6.6 CHILE
                       10.6.6.1 Rise in adoption of artificial intelligence to promote research and innovation centered around human well-being to drive market growth
                                   TABLE 353 CHILE: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
                                   TABLE 354 CHILE: MARKET, BY OFFERING, 2024–2030 (USD MILLION)
             10.6.7 REST OF LATIN AMERICA
                                   TABLE 355 REST OF LATIN AMERICA: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
                                   TABLE 356 REST OF LATIN AMERICA: MARKET, BY OFFERING, 2024–2030 (USD MILLION)
 
11 COMPETITIVE LANDSCAPE (Page No. - 396)
     11.1 OVERVIEW 
     11.2 KEY PLAYER STRATEGIES 
               TABLE 357 OVERVIEW OF STRATEGIES ADOPTED BY KEY ARTIFICIAL INTELLIGENCE VENDORS
     11.3 REVENUE ANALYSIS 
               FIGURE 78 TOP 5 PLAYERS DOMINATED ARTIFICIAL INTELLIGENCE MARKET FOR LAST 5 YEARS
     11.4 MARKET SHARE ANALYSIS 
               FIGURE 79 SHARE OF LEADING COMPANIES IN MARKET, 2023
             11.4.1 MARKET RANKING ANALYSIS
                       TABLE 358 ARTIFICIAL INTELLIGENCE MARKET: DEGREE OF COMPETITION
     11.5 PRODUCT COMPARATIVE ANALYSIS 
             11.5.1 PRODUCT COMPARATIVE ANALYSIS, BY MACHINE LEARNING
                       FIGURE 80 PRODUCT COMPARATIVE ANALYSIS, BY MACHINE LEARNING
                       11.5.1.1 Vertex AI
                       11.5.1.2 Amazon Forecast
                       11.5.1.3 NVIDIA Jarvis
                       11.5.1.4 SAS Viya
                       11.5.1.5 Microsoft Azure AI Personalizer
             11.5.2 PRODUCT COMPARATIVE ANALYSIS, BY NATURAL LANGUAGE PROCESSING
                       FIGURE 81 PRODUCT COMPARATIVE ANALYSIS, BY NATURAL LANGUAGE PROCESSING
                       11.5.2.1 Gensim
                       11.5.2.2 MindMeld
                       11.5.2.3 Google Cloud Natural Language
                       11.5.2.4 MonkeyLearn
                       11.5.2.5 Amazon Comprehend
             11.5.3 PRODUCT COMPARATIVE ANALYSIS, BY COMPUTER VISION
                       FIGURE 82 PRODUCT COMPARATIVE ANALYSIS, BY COMPUTER VISION
                       11.5.3.1 OpenCV
                       11.5.3.2 Viso Suite
                       11.5.3.3 TensorFlow
                       11.5.3.4 MATLAB
                       11.5.3.5 Keras
     11.6 COMPANY VALUATION AND FINANCIAL METRICS 
               FIGURE 83 COMPANY VALUATION AND FINANCIAL METRICS OF KEY VENDORS
               FIGURE 84 YEAR-TO-DATE (YTD) PRICE TOTAL RETURN AND 5-YEAR STOCK BETA OF KEY VENDORS
     11.7 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2023 
             11.7.1 STARS
             11.7.2 EMERGING LEADERS
             11.7.3 PERVASIVE PLAYERS
             11.7.4 PARTICIPANTS
                       FIGURE 85 ARTIFICIAL INTELLIGENCE MARKET: COMPANY EVALUATION MATRIX (KEY PLAYERS), 2023
             11.7.5 COMPANY FOOTPRINT: KEY PLAYERS, 2023
                       11.7.5.1 Company Footprint
                                   FIGURE 86 COMPANY FOOTPRINT (23 COMPANIES)
                       11.7.5.2 Region Footprint
                                   TABLE 359 REGION FOOTPRINT (23 COMPANIES)
                       11.7.5.3 Technology Footprint
                                   TABLE 360 TECHNOLOGY FOOTPRINT (23 COMPANIES)
                       11.7.5.4 Vertical Footprint
                                   TABLE 361 VERTICAL FOOTPRINT (23 COMPANIES)
                       11.7.5.5 Business Function Footprint
                                   TABLE 362 BUSINESS FUNCTION FOOTPRINT (23 COMPANIES)
     11.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2023 
             11.8.1 PROGRESSIVE COMPANIES
             11.8.2 RESPONSIVE COMPANIES
             11.8.3 DYNAMIC COMPANIES
             11.8.4 STARTING BLOCKS
                       FIGURE 87 ARTIFICIAL INTELLIGENCE MARKET: COMPANY EVALUATION MATRIX (STARTUPS/SMES), 2023
             11.8.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2023
                       11.8.5.1 Detailed List of Key Startups/SMEs
                                   TABLE 363 ARTIFICIAL INTELLIGENCE MARKET: DETAILED LIST OF KEY STARTUPS/SMES
                       11.8.5.2 Competitive Benchmarking of Key Startups/SMEs
                                   TABLE 364 ARTIFICIAL INTELLIGENCE MARKET: COMPETITIVE BENCHMARKING OF KEY STARTUPS/SMES
     11.9 COMPETITIVE SCENARIO AND TRENDS 
             11.9.1 PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 365 ARTIFICIAL INTELLIGENCE MARKET: PRODUCT LAUNCHES AND ENHANCEMENTS, JANUARY 2021–APRIL 2024
             11.9.2 DEALS
                       TABLE 366 ARTIFICIAL INTELLIGENCE MARKET: DEALS, JANUARY 2021–APRIL 2024
 
12 COMPANY PROFILES (Page No. - 451)
     12.1 INTRODUCTION 
(Business overview, Products/Solutions/Services offered, Recent developments & MnM View)*
     12.2 MAJOR PLAYERS 
             12.2.1 GOOGLE
                       TABLE 367 GOOGLE: BUSINESS OVERVIEW
                       FIGURE 88 GOOGLE: COMPANY SNAPSHOT
                       TABLE 368 GOOGLE: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 369 GOOGLE: DEALS
                       TABLE 370 GOOGLE: EXPANSIONS
             12.2.2 MICROSOFT
                       TABLE 371 MICROSOFT: BUSINESS OVERVIEW
                       FIGURE 89 MICROSOFT: COMPANY SNAPSHOT
                       TABLE 372 MICROSOFT: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 373 MICROSOFT: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 374 MICROSOFT: DEALS
             12.2.3 IBM
                       TABLE 375 IBM: BUSINESS OVERVIEW
                       FIGURE 90 IBM: COMPANY SNAPSHOT
                       TABLE 376 IBM: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 377 IBM: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 378 IBM: DEALS
             12.2.4 ORACLE
                       TABLE 379 ORACLE: BUSINESS OVERVIEW
                       FIGURE 91 ORACLE: COMPANY SNAPSHOT
                       TABLE 380 ORACLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 381 ORACLE: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 382 ORACLE: DEALS
             12.2.5 AWS
                       TABLE 383 AWS: BUSINESS OVERVIEW
                       FIGURE 92 AWS: COMPANY SNAPSHOT
                       TABLE 384 AWS: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 385 AWS: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 386 AWS: DEALS
                       TABLE 387 AWS: OTHERS
             12.2.6 INTEL
                       TABLE 388 INTEL: BUSINESS OVERVIEW
                       FIGURE 93 INTEL: COMPANY SNAPSHOT
                       TABLE 389 INTEL: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 390 INTEL: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 391 INTEL: DEALS
             12.2.7 SALESFORCE
                       TABLE 392 SALESFORCE: BUSINESS OVERVIEW
                       TABLE 393 SALESFORCE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 394 SALESFORCE: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 395 SALESFORCE: DEALS
             12.2.8 SAP
                       TABLE 396 SAP: BUSINESS OVERVIEW
                       FIGURE 95 SAP: COMPANY SNAPSHOT
                       TABLE 397 SAP: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 398 SAP: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 399 SAP: DEALS
             12.2.9 AMD
                       TABLE 400 AMD: BUSINESS OVERVIEW
                       FIGURE 96 AMD: COMPANY SNAPSHOT
                       TABLE 401 AMD: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 402 AMD: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 403 AMD: DEALS
               12.2.10 QUALCOMM
                                   TABLE 404 QUALCOMM: BUSINESS OVERVIEW
                                   FIGURE 97 QUALCOMM: COMPANY SNAPSHOT
                                   TABLE 405 QUALCOMM: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                                   TABLE 406 QUALCOMM: PRODUCT LAUNCHES AND ENHANCEMENTS
                                   TABLE 407 QUALCOMM: DEALS
               12.2.11 CISCO
                                   TABLE 408 CISCO: BUSINESS OVERVIEW
                                   FIGURE 98 CISCO: COMPANY SNAPSHOT
                                   TABLE 409 CISCO: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                                   TABLE 410 CISCO: PRODUCT LAUNCHES AND ENHANCEMENTS
                                   TABLE 411 CISCO: DEALS
               12.2.12 META
                                   TABLE 412 META: BUSINESS OVERVIEW
                                   FIGURE 99 META: COMPANY SNAPSHOT
                                   TABLE 413 META: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                                   TABLE 414 META: PRODUCT LAUNCHES AND ENHANCEMENTS
                                   TABLE 415 META: DEALS
               12.2.13 HPE
                                   TABLE 416 HPE: BUSINESS OVERVIEW
                                   FIGURE 100 HPE: COMPANY SNAPSHOT
                                   TABLE 417 HPE: PRODUCTS OFFERED
                                   TABLE 418 HPE: PRODUCT LAUNCHES AND ENHANCEMENTS
                                   TABLE 419 HPE: DEALS
               12.2.14 SIEMENS
                                   TABLE 420 SIEMENS: BUSINESS OVERVIEW
                                   FIGURE 101 SIEMENS: COMPANY SNAPSHOT
                                   TABLE 421 SIEMENS: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                                   TABLE 422 SIEMENS: PRODUCT LAUNCHES AND ENHANCEMENTS
                                   TABLE 423 SIEMENS: DEALS
               12.2.15 NVIDIA
                                   TABLE 424 NVIDIA: BUSINESS OVERVIEW
                                   FIGURE 102 NVIDIA: COMPANY SNAPSHOT
                                   TABLE 425 NVIDIA: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                                   TABLE 426 NVIDIA: PRODUCT LAUNCHES AND ENHANCEMENTS
                                   TABLE 427 NVIDIA: DEALS
               12.2.16 BAIDU
                                   TABLE 428 BAIDU: BUSINESS OVERVIEW
                                   FIGURE 103 BAIDU: COMPANY SNAPSHOT
                                   TABLE 429 BAIDU: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                                   TABLE 430 BAIDU: PRODUCT LAUNCHES AND ENHANCEMENTS
                                   TABLE 431 BAIDU: DEALS
               12.2.17 SAS INSTITUTE
                                   TABLE 432 SAS INSTITUTE: BUSINESS OVERVIEW
                                   TABLE 433 SAS INSTITUTE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                                   TABLE 434 SAS INSTITUTE: PRODUCT LAUNCHES AND ENHANCEMENTS
                                   TABLE 435 SAS INSTITUTE: DEALS
               12.2.18 OPENAI
                                   TABLE 436 OPENAI: BUSINESS OVERVIEW
                                   TABLE 437 OPENAI: SOLUTIONS/SERVICES OFFERED
                                   TABLE 438 OPENAI: PRODUCT LAUNCHES AND ENHANCEMENTS
                                   TABLE 439 OPENAI: DEALS
               12.2.19 C3 AI
                                   TABLE 440 C3 AI: BUSINESS OVERVIEW
                                   FIGURE 104 C3 AI: COMPANY SNAPSHOT
                                   TABLE 441 C3 AI: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                                   TABLE 442 C3 AI: PRODUCT LAUNCHES AND ENHANCEMENTS
                                   TABLE 443 C3 AI: DEALS
               12.2.20 HUAWEI
                                   TABLE 444 HUAWEI: BUSINESS OVERVIEW
                                   TABLE 445 HUAWEI: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                                   TABLE 446 HUAWEI: PRODUCT LAUNCHES AND ENHANCEMENTS
                                   TABLE 447 HUAWEI: DEALS
               12.2.21 ALIBABA CLOUD
                                   TABLE 448 ALIBABA CLOUD: BUSINESS OVERVIEW
                                   TABLE 449 ALIBABA CLOUD: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                                   TABLE 450 ALIBABA CLOUD: PRODUCT LAUNCHES AND ENHANCEMENTS
                                   TABLE 451 ALIBABA CLOUD: DEALS
               12.2.22 HQE SYSTEMS, INC.
                                   TABLE 452 HQE SYSTEMS, INC.: BUSINESS OVERVIEW
                                   TABLE 453 HQE SYSTEMS, INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
               12.2.23 APPIER
                                   TABLE 454 APPIER: BUSINESS OVERVIEW
                                   FIGURE 105 APPIER: COMPANY SNAPSHOT
                                   TABLE 455 APPIER: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                                   TABLE 456 APPIER: PRODUCT LAUNCHES AND ENHANCEMENTS
                                   TABLE 457 APPIER: DEALS
*Details on Business overview, Products/Solutions/Services offered, Recent developments & MnM View might not be captured in case of unlisted companies.
     12.3 STARTUP/SME PROFILES 
             12.3.1 ADEPT
             12.3.2 H2O.AI
             12.3.3 SPOT AI
             12.3.4 ANDURIL INDUSTRIES
             12.3.5 ANTHROPIC
             12.3.6 COHERE
             12.3.7 INBENTA
             12.3.8 CHARACTER.AI
             12.3.9 DEEPL
             12.3.10 ATOMWISE
             12.3.11 INFLECTION AI
             12.3.12 GLEAN
             12.3.13 MOVEWORKS
             12.3.14 ARROW AI
             12.3.15 OBSERVE AI
             12.3.16 ANYSCALE
             12.3.17 FRAME AI
             12.3.18 AI21 LABS
             12.3.19 PERSADO
             12.3.20 UIZARD
             12.3.21 SYNTHESIA
             12.3.22 DIALPAD
             12.3.23 GRAPHCORE
             12.3.24 SHIELD AI
             12.3.25 SCALE AI
             12.3.26 IRIS AUTOMATION
             12.3.27 GAMAYA
             12.3.28 ARTHUR AI
             12.3.29 CAPACITY
             12.3.30 MYTHIC
             12.3.31 ADA
             12.3.32 MOSTLY AI
             12.3.33 SENTIENT.IO
             12.3.34 LUMEN5
             12.3.35 AERA TECHNOLOGY
             12.3.36 METROPOLIS TECHNOLOGIES
             12.3.37 CEREBRAS
             12.3.38 HAILO
             12.3.39 JASPER
             12.3.40 SOUNDFUL
             12.3.41 WRITESONIC
             12.3.42 ONE AI
 
13 ADJACENT AND RELATED MARKETS (Page No. - 616)
     13.1 INTRODUCTION 
     13.2 GENERATIVE AI MARKET - GLOBAL FORECAST TO 2030 
             13.2.1 MARKET DEFINITION
             13.2.2 MARKET OVERVIEW
                       13.2.2.1 Generative AI market, by offering
                                   TABLE 458 GENERATIVE AI MARKET, BY OFFERING, 2019–2023 (USD MILLION)
                                   TABLE 459 GENERATIVE AI MARKET, BY OFFERING, 2024–2030 (USD MILLION)
                       13.2.2.2 Generative AI market, by data modality
                                   TABLE 460 GENERATIVE AI MARKET, BY DATA MODALITY, 2019–2023 (USD MILLION)
                                   TABLE 461 GENERATIVE AI MARKET, BY DATA MODALITY, 2024–2030 (USD MILLION)
                       13.2.2.3 Generative AI market, by application
                                   TABLE 462 GENERATIVE AI MARKET, BY APPLICATION, 2019–2023 (USD MILLION)
                                   TABLE 463 GENERATIVE AI MARKET, BY APPLICATION, 2024–2030 (USD MILLION)
                       13.2.2.4 Generative AI market, by vertical
                                   TABLE 464 GENERATIVE AI MARKET, BY VERTICAL, 2019–2023 (USD MILLION)
                                   TABLE 465 GENERATIVE AI MARKET, BY VERTICAL, 2024–2030 (USD MILLION)
                       13.2.2.5 Generative AI market, by region
                                   TABLE 466 GENERATIVE AI MARKET, BY REGION, 2019–2023 (USD MILLION)
                                   TABLE 467 GENERATIVE AI MARKET, BY REGION, 2024–2030 (USD MILLION)
     13.3 CONVERSATIONAL AI MARKET - GLOBAL FORECAST TO 2030 
             13.3.1 MARKET DEFINITION
             13.3.2 MARKET OVERVIEW
                       13.3.2.1 Conversational AI market, by offering
                                   TABLE 468 CONVERSATIONAL AI MARKET, BY OFFERING, 2019–2023 (USD MILLION)
                                   TABLE 469 CONVERSATIONAL AI MARKET, BY OFFERING, 2024–2030 (USD MILLION)
                       13.3.2.2 Conversational AI market, by business function
                                   TABLE 470 CONVERSATIONAL AI MARKET, BY BUSINESS FUNCTION, 2019–2023 (USD MILLION)
                                   TABLE 471 CONVERSATIONAL AI MARKET, BY BUSINESS FUNCTION, 2024–2030 (USD MILLION)
                       13.3.2.3 Conversational AI market, by conversational agent type
                                   TABLE 472 CONVERSATIONAL AI MARKET, BY CONVERSATIONAL AGENT TYPE, 2019–2023 (USD MILLION)
                                   TABLE 473 CONVERSATIONAL AI MARKET, BY CONVERSATIONAL AGENT TYPE, 2024–2030 (USD MILLION)
                       13.3.2.4 Conversational AI market, by vertical
                                   TABLE 474 CONVERSATIONAL AI MARKET, BY VERTICAL, 2019–2023 (USD MILLION)
                                   TABLE 475 CONVERSATIONAL AI MARKET, BY VERTICAL, 2024–2030 (USD MILLION)
                       13.3.2.5 Conversational AI market, by region
                                   TABLE 476 CONVERSATIONAL AI MARKET, BY REGION, 2019–2023 (USD MILLION)
                                   TABLE 477 CONVERSATIONAL AI MARKET, BY REGION, 2024–2030 (USD MILLION)
 
14 APPENDIX (Page No. - 626)
     14.1 DISCUSSION GUIDE 
     14.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 
     14.3 CUSTOMIZATION OPTIONS 
     14.4 RELATED REPORTS 
     14.5 AUTHOR DETAILS 

 

The Artificial Intelligence (AI) market research study involved extensive secondary sources, directories, journals, and paid databases. Primary sources were mainly industry experts from the core and related industries, preferred artificial intelligence providers, third-party service providers, consulting service providers, end users, and other commercial enterprises. In-depth interviews were conducted with various primary respondents, including key industry participants and subject matter experts, to obtain and verify critical qualitative and quantitative information, and assess the market’s prospects.

Secondary Research

In the secondary research process, various sources were referred to, for identifying and collecting information for this study. Secondary sources included annual reports, press releases, and investor presentations of companies; white papers, journals, and certified publications; and articles from recognized authors, directories, and databases. The data was also collected from other secondary sources, such as journals, government websites, blogs, and vendors' websites. Additionally, artificial intelligence spending of various countries was extracted from the respective sources. Secondary research was mainly used to obtain key information related to the industry’s value chain and supply chain to identify key players based on solutions, services, market classification, and segmentation according to offerings of major players, industry trends related to software, hardware, services, deployment mode, technology, business function, verticals, and regions, and key developments from both market- and technology-oriented perspectives.

Primary Research

In the primary research process, various primary sources from both the supply and demand sides were interviewed to obtain qualitative and quantitative information on the market. The primary sources from the supply side included various industry experts, including Chief Experience Officers (CXOs); Vice Presidents (VPs); directors from business development, marketing, and artificial intelligence expertise; related key executives from artificial intelligence solution vendors, SIs, professional service providers, and industry associations; and key opinion leaders.

Primary interviews were conducted to gather insights, such as market statistics, revenue data collected from solutions and services, market breakups, market size estimations, market forecasts, and data triangulation. Primary research also helped in understanding various trends related to technologies, applications, deployments, and regions. Stakeholders from the demand side, such as Chief Information Officers (CIOs), Chief Technology Officers (CTOs), Chief Strategy Officers (CSOs), and end users using artificial intelligence solutions, were interviewed to understand the buyer’s perspective on suppliers, products, service providers, and their current usage of artificial intelligence solutions and services, which would impact the overall artificial intelligence market.

The Breakup of Primary Research:

Artificial Intelligence (AI) Market Size, and Share

To know about the assumptions considered for the study, download the pdf brochure

Market Size Estimation

Multiple approaches were adopted for estimating and forecasting the artificial intelligence market. The first approach involves estimating the market size by summation of companies’ revenue generated through the sale of solutions and services.

Market Size Estimation Methodology- Top-down approach

In the top-down approach, an exhaustive list of all the vendors offering solutions and services in the artificial intelligence market was prepared. The revenue contribution of the market vendors was estimated through annual reports, press releases, funding, investor presentations, paid databases, and primary interviews. Each vendor's offerings were evaluated based on breadth of hardware, software and services according to technologies, business functions, deployment modes, and verticals. The aggregate of all the companies’ revenue was extrapolated to reach the overall market size. Each subsegment was studied and analyzed for its global market size and regional penetration. The markets were triangulated through both primary and secondary research. The primary procedure included extensive interviews for key insights from industry leaders, such as CIOs, CEOs, VPs, directors, and marketing executives. The market numbers were further triangulated with the existing MarketsandMarkets’ repository for validation.

Market Size Estimation Methodology-Bottom-up approach

In the bottom-up approach, the adoption rate of artificial intelligence solutions and services among different end users in key countries with respect to their regions contributing the most to the market share was identified. For cross-validation, the adoption of artificial intelligences solutions and services among industries, along with different use cases with respect to their regions, was identified and extrapolated. Weightage was given to use cases identified in different regions for the market size calculation.

Based on the market numbers, the regional split was determined by primary and secondary sources. The procedure included the analysis of the artificial intelligence market’s regional penetration. Based on secondary research, the regional spending on Information and Communications Technology (ICT), socio-economic analysis of each country, strategic vendor analysis of major artificial intelligences providers, and organic and inorganic business development activities of regional and global players were estimated. With the data triangulation procedure and data validation through primary interviews, the exact values of the overall artificial intelligence market size and segments’ size were determined and confirmed using the study.

Global Artificial Intelligence Market Size: Bottom-Up and Top-Down Approach:

Artificial Intelligence (AI) Market Bottom Up and Top Down Approach

Data Triangulation

After arriving at the overall market size using the market size estimation processes as explained above, the market was split into several segments and subsegments. To complete the overall market engineering process and arrive at the exact statistics of each market segment and subsegment, data triangulation and market breakup procedures were employed, wherever applicable. The overall market size was then used in the top-down procedure to estimate the size of other individual markets via percentage splits of the market segmentation.

Market Definition

Artificial Intelligence (AI) refers to algorithms and computational models that enable machines to perform cognitive functions typically associated with human intelligence. These functions include, but are not limited to, natural language processing (NLP), machine learning (ML), computer vision, and decision-making. AI systems leverage advanced techniques such as deep learning, reinforcement learning, and probabilistic reasoning to process data, recognize patterns, and make autonomous decisions or provide predictive analytics. These systems are designed to improve over time through iterative training and adaptation, often utilizing large-scale data and high-performance computing infrastructure to optimize performance and accuracy.

Stakeholders

  • Artificial intelligence software developers
  • Artificial intelligence hardware vendors
  • Business analysts
  • Cloud service providers
  • Consulting service providers
  • Enterprise end-users
  • Distributors and Value-added Resellers (VARs)
  • Government agencies
  • Independent Software Vendors (ISV)
  • Managed service providers
  • Market research and consulting firms
  • Support & maintenance service providers
  • System Integrators (SIs)/migration service providers
  • Technology providers

Report Objectives

  • To define, describe, and predict the artificial intelligence market by offering (hardware, software and services), technology, business function, vertical, and region
  • To provide detailed information related to major factors (drivers, restraints, opportunities, and industry-specific challenges) influencing the market growth
  • To analyze the micro markets with respect to individual growth trends, prospects, and their contribution to the total market
  • To analyze the opportunities in the market for stakeholders by identifying the high-growth segments of the artificial intelligence market
  • To analyze opportunities in the market and provide details of the competitive landscape for stakeholders and market leaders
  • To forecast the market size of segments for five main regions: North America, Europe, Asia Pacific, Middle East Africa, and Latin America
  • To profile key players and comprehensively analyze their market rankings and core competencies.
  • To analyze competitive developments, such as partnerships, new product launches, and mergers and acquisitions, in the artificial intelligence market
  • To analyze the impact of recession across all the regions across the artificial intelligence market

Available Customizations:

With the given market data, MarketsandMarkets offers customizations as per your company’s specific needs. The following customization options are available for the report:

Product Analysis

  • Product quadrant, which gives a detailed comparison of the product portfolio of each company.

Geographic Analysis

  • Further breakup of the North American artificial intelligence market
  • Further breakup of the European artificial intelligence market
  • Further breakup of the Asia Pacific artificial intelligence market
  • Further breakup of the Middle Eastern & African artificial intelligence market
  • Further breakup of the Latin America artificial intelligence market

Company Information

  • Detailed analysis and profiling of additional market players (up to five)
Custom Market Research Services

We will customize the research for you, in case the report listed above does not meet with your exact requirements. Our custom research will comprehensively cover the business information you require to help you arrive at strategic and profitable business decisions.

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