Artificial Intelligence (AI) Market

Artificial Intelligence (AI) Market by Offering (Hardware, Software), Technology (ML (Deep Learning (LLM, Transformers (GPT 1, 2, 3, 4)), NLP, Computer Vision), Business Function, Vertical, and Region - Global Forecast to 2030

Report Code: TC 7894 Jun, 2023, by marketsandmarkets.com

The global artificial intelligence market size was valued at USD 150.2 billion in 2023 and is expected to grow at a CAGR of 36.8% from 2023 to 2030. The revenue forecast for 2030 is projected to reach $1,345.2 billion. The base year for estimation is 2022, and the historical data spans from 2023 to 2030.

Artificial intelligence (AI) is revolutionizing multiple industries, positioning itself as a key driver for emerging technologies such as big data analytics, robotics, and the Internet of Things (IoT). Furthermore, the rise of generative AI tools such as ChatGPT and AI art generators highlights its mainstream prominence. With its continued trajectory, AI industry is set to persist as a powerful technological innovator, propelling advancements in the foreseeable future.

Technology Roadmap of Artificial Intelligence Forecast till 2030

The artificial intelligence market report covers technology roadmap till 2030, with insights around short-term, mid-term, and long-term developments.

Short-term roadmap (2023-2025)

  • Advancements in generative models for content creation.
  • Growing Adoption of Federated Learning for Privacy-Preserving Distributed Model Training.
  • Advancing transparency and interpretability through Explainable AI methods in decision-making.
  • Edge AI gains traction with decentralized Al processing and decision-making.

Mid-term roadmap (2025-2028)

  • Sophisticated Generative AI models boost quality and diversity.
  • Advancements in federated optimization algorithms and secure aggregation methods boost scalability and performance of federated learning systems.
  • Explainable AI will enhance the interpretability and transparency of AI models.
  • Edge AI will become more sophisticated, leveraging advanced hardware and algorithms.

Long-term roadmap (2028-2030)

  • Al-generated content reaches human-level sophistication, redefining artificial and human creativity.
  • Wide deployment of federated learning empowers secure and scalable solutions across industries.
  • Explainable AI emerges as a fundamental requirement for AI systems in all industries.
  • Advanced AI processing on edge devices for autonomous decision-making, real-time intelligence, and efficient data processing in diverse environments.

Business Models of Artificial Intelligence Market

The artificial intelligence industry report covers business models in artificial intelligence market, with insights around various AI-based business model innovations.

AI SaaS Product Vendor

  • Develop and maintain AI applications and services that address specific use cases or industries.
  • Offers scalable and accessible platform where customers leverage AI capabilities without the need for extensive technical expertise.

AI Platform Vendor

  • Offer a suite of tools, frameworks, and services that support the entire AI development lifecycle.
  • Enable developers and organizations to leverage the platform's capabilities to build and deploy AI models at scale.

AI Licensing and Intellectual Property Vendor

  • Involves the development, licensing, and monetization of AI technologies and intellectual property assets.
  • Leverages intellectual property assets to generate revenue and drive innovation in the Artificial Intelligence Market.

AI Technical Consulting Vendor

  • Offer a range of services, including AI strategy development, implementation planning, algorithm design, and model deployment.
  • Bridges the gap between AI expertise and client requirements, enabling successful AI adoption.

AI Management Consulting Vendor

  • Offer expertise in organizational readiness assessment, business process optimization, and AI implementation roadmaps.
  • Aims to drive organizational transformation and maximize the value of AI investments.

AI Research and Development Vendor

  • Invest in R&D efforts to explore novel algorithms, models, and applications.
  • Aims to drive innovation and shape the future of AI industry.

Artificial Intelligence (AI) Market

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Artificial Intelligence (AI) Market

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Artificial Intelligence Market Growth Dynamics

Driver: Growth in the adoption of autonomous artificial intelligence

The increasing adoption of autonomous artificial intelligence (AI) is driving the growth of the Artificial Intelligence Industry. This trend is fueled by advancements in algorithms, machine learning techniques, and natural language processing, enabling the development of sophisticated autonomous AI systems. These systems offer improved accuracy and reliability, attracting organizations from various industries. Autonomous AI optimizes operations, leading to cost savings and enhanced productivity. It finds applications in healthcare, finance, manufacturing, transportation, and retail sectors. The cost reduction associated with autonomous AI industry, driven by automation, further drives its adoption. As technology advances and more industries recognize its benefits, the Artificial Intelligence (AI) Market size is poised for expansion, fostering innovation and new opportunities.

Restraint: Issues related with data availability and quality

Data availability and quality play a crucial role in restraining the growth of the Artificial Intelligence (AI) Market. Limited data availability, particularly in niche industries or specialized domains, hinders the development and application of AI industry. Without access to comprehensive and diverse datasets, AI algorithms lack the necessary training to make accurate predictions and decisions. Moreover, the quality of data is vital for the effectiveness of AI growth systems. Inaccurate, incomplete, or biased data leads to flawed outcomes and unreliable AI models. Ensuring data quality requires meticulous data cleaning, preprocessing, and validation processes, which are time-consuming and resource-intensive. Organizations with limited resources struggle to meet these requirements, hindering the development and deployment of AI solutions. To address these issues, it is important to promote data sharing collaborations, invest in data collection and preprocessing capabilities, and establish industry-wide standards for data quality and privacy. These efforts will enhance data availability, improve data quality, and create a more conducive environment for the Artificial Intelligence (AI) Industry growth.

Opportunity: Rapid growth in the digital data form various sources

The exponential ai growth statistics of digital data from various sources presents immense opportunities for the AI market. With the proliferation of connected devices, social media platforms, online transactions, and sensors, an unprecedented volume of data is generated every day. This abundance of data offers a vast and diverse resource for AI algorithms to leverage. AI thrives on data, and the availability of large and diverse datasets enables AI systems to learn, analyze, and make accurate predictions. The more data available, the better AI algorithms understand patterns, AI trends, and correlations. This empowers businesses and organizations to gain valuable insights, make data-driven decisions, and drive innovation. For instance, in marketing, AI algorithms analyze extensive customer data to identify preferences, personalize campaigns, and improve engagement. In healthcare, AI analyzes patient data to identify early signs of diseases, provide personalized treatment plans, and enhance patient care. Furthermore, the growth of digital data fuels the development of AI technologies and solutions. The increasing availability of data spurs investment in AI research and development, leading to advancements in algorithms, machine learning models, and data processing techniques.

Challenge: Concerns related to inaccurately and bias generated output

Issues related to bias and inaccurately generated output pose significant challenges to the growth of the AI market. When AI algorithms are biased or trained on biased data, they perpetuate discriminatory practices or reinforce societal prejudices. For instance, biased facial recognition systems have exhibited higher error rates for women and people with darker skin tones, leading to potential misidentification and discrimination. Such biases erode trust and hinder the adoption of AI technologies, particularly in sensitive areas such as hiring, law enforcement, and healthcare. Moreover, inaccurately generated output from AI systems has serious consequences. For instance, in the healthcare sector, if an AI system inaccurately diagnoses a medical condition or recommends incorrect treatments, it poses risks to patients' health and safety. Such incidents undermine confidence in AI growth rate and slow down its adoption. Addressing these challenges requires ongoing efforts to detect and mitigate bias in AI algorithms, improve data quality, and enhance the accuracy and transparency of Artificial Intelligence Market systems to build trust and ensure responsible AI deployment.

Artificial Intelligence Market Ecosystem

The artificial intelligence market report covers market ecosystem which comprises software provider, service provider, cloud provider, hardware and devices provider, network provider, and security provider.

Artificial Intelligence (AI) Market

Artificial Intelligence (AI) Market

The computer vision segment is expected to grow at the highest CAGR during the forecast period

Based on technology, the artificial intelligence market is segmented into Machine Learning, Natural Language Processing, Context-Aware, and Computer Vision. Computer vision enables innovation in various domains, including self-driving cars, facial recognition, and augmented reality. It enhances consumer experiences, reduces costs, and strengthens security. Manufacturers detect defects, insurance assessors evaluate vehicle damage, medical professionals analyze medical images, and banks verify customer identities using computer vision applications. Its wide-ranging impact across industries demonstrates its significance in driving technological advancements. As a result, the computer vision technology is anticipated to grow at the highest CAGR during the forecast period.

North America to account for the largest AI market size during the forecast period

North America has emerged as a leading hub for artificial intelligence (AI) Industry adoption, with significant developments and applications across various sectors. The region's favorable ecosystem, coupled with collaborations between academia, industry, and government, has created a fertile ground for AI research, development, and commercialization. As a result, North America continues to be at the forefront of Artificial Intelligence Market adoption, driving technological advancements and shaping the future of AI applications.

Artificial Intelligence (AI) Market  Size, and Share

Key Market Players

The artificial intelligence market providers have implemented various types of organic and inorganic growth strategies, such as new product launches, product upgradations, partnerships and agreements, business expansions, and mergers and acquisitions to strengthen their offerings in the market. The major players in the artificial intelligence market include Google (US), Microsoft (US), IBM (US), Oracle (US), AWS (US), Intel (US), Salesforce (US), SAP (Germany), Cisco (US), Meta (US), HPE (US), Siemens (Germany), Huawei (China), NVIDIA (US), Baidu (China), SAS Institute (US), OpenAI (US), H2O.ai (US), iFLYTEK (China), Alibaba Cloud (China), General Vision (US), Darktrace (UK), Blackberry Limited (Canada), DiDi Global (China), Face++ (China), Inbenta (US), Anju Software (US), Butterfly Network (US), Atomwise (US), AIBrain (US), SK Hynix (South Korea), Progress (US), PrecisionHawk (US), AgEagle Aerial System (US), Neurala (US), Twitter (US), Aurea Software (US), Persado (US), 8x8 (US), Appier (Taiwan), GumGum (US), IPRO (US), Graphcore (UK), Preferred Networks (Japan), Applied Brain Research (Canada), Pilot AI (US), Iris Automation (US), Gamaya (Switzerland), ec2ce (Spain), Descartes Labs (US), Mythic (US), Ada (Canada), Mostly AI (Austria), Sentient.io (Singapore), Lumen5 (Canada), AI Superior (Germany), Fosfor (India), Intrinsic (US), Jasper (US), Soundful (US), Writesonic (US), One AI (Israel).

Scope of the AI Industry Report

Report Metrics

Details

AI Market Size Worldwide in 2023

US$150.2bn

AI Market Revenue Worldwide in 2030

US$1,345.2bn

Annual Growth Rate

(CAGR 2023-2030) of 36.8%

Artificial Intelligence Market Drivers

  • Advancements in algorithms and machine learning techniques
  • The cost reduction associated with autonomous AI
  • Growing demand for autonomous artificial intelligence

Market size available for years

2017–2030

Base year considered

2022

Forecast period

2023–2030

Forecast units

USD (Billion)

Segments covered

Offering, Technology, Business Function, Verticals, and Region

Geographies covered

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

Companies covered

Google (US), Microsoft (US), IBM (US), Oracle (US), AWS (US), Intel (US), Salesforce (US), SAP (Germany), Cisco (US), Meta (US), HPE (US), Siemens (Germany), Huawei (China), NVIDIA (US), Baidu (China), SAS Institute (US), OpenAI (US), H2O.ai (US), iFLYTEK (China), Alibaba Cloud (China), General Vision (US), Darktrace (UK), Blackberry Limited (Canada), DiDi Global (China), Face++ (China), Inbenta (US), Anju Software (US), Butterfly Network (US), Atomwise (US), AIBrain (US), SK Hynix (South Korea), Progress (US), PrecisionHawk (US), AgEagle Aerial System (US), Neurala (US), Twitter (US), Aurea Software (US), Persado (US), 8x8 (US), Appier (Taiwan), GumGum (US), IPRO (US), Graphcore (UK), Preferred Networks (Japan), Applied Brain Research (Canada), Pilot AI (US), Iris Automation (US), Gamaya (Switzerland), ec2ce (Spain), Descartes Labs (US), Mythic (US), Ada (Canada), Mostly AI (Austria), Sentient.io (Singapore), Lumen5 (Canada), AI Superior (Germany), Fosfor (India), Intrinsic (US), Jasper (US), Soundful (US), Writesonic (US), One AI (Israel).

This research report categorizes the artificial intelligence (AI) market based on component, type, infrastructure type, deployment type, organization size, vertical, and region.

AI Industry By Offering:
  • Hardware
    • Accelerators
    • Processors
      • Microprocessing Unit
      • Graphics Processing Unit
      • Field Programmable Gate Arrays
      • Other Processors
    • Memory
    • Network
  • Software
    • By Type
      • Pre-trained Models
      • Customizable AI
      • Edge AI
      •  AI Marketplaces
    • By Deployment
      • Cloud
      • On-Premises
  • Services
    • Professional Services
      • Consulting Services
        • Training  & Education
        • Designing & Testing
      • Deployment and Integration
      • Support and Maintenance
    • Managed Services
Artificial Intelligence (AI) Market By Technology:
  • Machine Learning
    • Deep Learning
      • Convolutional Neural Networks (CNN)
      • Recurrent Neural Networks (RNN)
      • Generative Adversarial Networks (GAN)
      • Transformers
        • GPT 1
        • GPT 2
        • GPT 3
        • GPT 4
      • Large Language Models (LLMs)
    • Supervised Learning
    • Unsupervised Learning
    • Reinforcement Learning
  • NLP
    • Natural Language Understanding (NLU)
    • Natural Language Generation (NLG)
  • Context awareness
  • Computer Vision
AI Industry By Business Function:
  • Finance
  • Security
  • Human Resources
  • Law
  • Marketing and sales
  • Operations
  • Supply Chain Management
Artificial Intelligence Market By Verticals:
  • BFSI
  • Retail & Ecommerce
  • Automotive, Transportation and Logistics
  • Government & Defense
  • Healthcare & Life Sciences
  • Telecom
  • Energy & Utilities
  • Manufacturing
  • Agriculture
  • IT/ITeS
  • Media & Entertainment
  • Other Verticals (Construction, Education, and Travel & Hospitality)
AI Industry By Region:
  • North America
    • US
    • Canada
  • Europe
    • UK
    • Germany
    • France
    • Italy
    • Spain
    • Nordic
    • Balkans
    • Rest of Europe
  • Asia Pacific
    • China
    • India
    • South Korea
    • ANZ
    • Japan
    • ASEAN
    • Rest of Asia Pacific
  • Middle East and Africa
    • KSA
    • Israel
    • Egypt
    • UAE
    • South Africa
    • Rest of Middle East & Africa
  • Latin America
    • Brazil
    • Mexico
    • Argentina
    • Central America
    • Rest of Latin America

Recent Developments in Artificial Intelligence Market:

  • In May 2023,  Google announced the launch of two new AI powered solutions named Target and Lead Identification Suite, and Multiomics Suite for the life sciences industry, aimed at expediting drug discovery and precision medicine for biotech companies, pharmaceutical firms, and public sector organizations.
  • In May 2023, HPE announced an enhancement to its HPE Ezmeral Software platform. HPE Ezmeral Software expands the data and analytics capabilities of HPE GreenLake, extending from the edge to the cloud. It serves as the foundation for machine learning (ML) and artificial intelligence (AI) initiatives, providing the necessary infrastructure and tools for data processing and analysis.
  • In April 2023, IBM unveiled its new security suite named IBM Security QRadar Suite, which is designed to unify and boost the security analyst experience throughout the whole incident lifecycle. The IBM Security QRadar Suite represents a significant evolution and expansion of the QRadar brand, encompassing all fundamental threat detection, investigation, and response capabilities.  It has a single, updated user interface for all products that is integrated with cutting-edge AI and automation to enable analysts to work more quickly, effectively, and precisely across their main toolsets.
  • In March 2023, Cisco has announced a number of new AI-powered innovations for its Webex collaboration platform. These innovations are designed to help organizations create more engaging and productive hybrid work experiences.
  • In September 2022, SAP introduced recent improvements to the SAP SuccessFactors HXM Suite that bring together data, machine learning and artificial intelligence (AI) to provide organizations with a better understanding of the capabilities within their workforce.

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TABLE OF CONTENTS
 
1 INTRODUCTION (Page No. - 71)
    1.1 STUDY OBJECTIVES 
    1.2 MARKET DEFINITION 
           1.2.1 INCLUSIONS & EXCLUSIONS
    1.3 MARKET SCOPE 
           1.3.1 MARKET SEGMENTATION
           1.3.2 REGIONS COVERED
           1.3.3 YEARS CONSIDERED
    1.4 CURRENCY CONSIDERED 
           TABLE 1 USD EXCHANGE RATES, 2020–2022
    1.5 STAKEHOLDERS 
    1.6 SUMMARY OF CHANGES 
           1.6.1 IMPACT OF RECESSION
 
2 RESEARCH METHODOLOGY (Page No. - 78)
    2.1 RESEARCH DATA 
           FIGURE 1 RESEARCH DESIGN
           2.1.1 SECONDARY DATA
           2.1.2 PRIMARY DATA
                    TABLE 2 PRIMARY INTERVIEWS
                    2.1.2.1 Breakup of primary profiles
                    2.1.2.2 Key ai industry insights
    2.2 DATA TRIANGULATION 
           FIGURE 2 DATA TRIANGULATION
    2.3 AI MARKET SIZE ESTIMATION 
           FIGURE 3 TOP-DOWN AND BOTTOM-UP APPROACHES
           2.3.1 TOP-DOWN APPROACH
           2.3.2 BOTTOM-UP APPROACH
                    FIGURE 4 APPROACH 1 (SUPPLY-SIDE): REVENUE FROM SOLUTIONS/SERVICES OF ARTIFICIAL INTELLIGENCE
                    FIGURE 5 APPROACH 2 (BOTTOM-UP, SUPPLY-SIDE): COLLECTIVE REVENUE FROM ALL SOLUTIONS/SERVICES OF ARTIFICIAL INTELLIGENCE
                    FIGURE 6 APPROACH 3 (BOTTOM-UP, SUPPLY-SIDE): COLLECTIVE REVENUE FROM ALL SOLUTIONS/SERVICES OF ARTIFICIAL INTELLIGENCE
                    FIGURE 7 APPROACH 4 (BOTTOM-UP, DEMAND-SIDE): SHARE OF ARTIFICIAL INTELLIGENCE THROUGH OVERALL SPENDING
    2.4 MARKET FORECAST 
           TABLE 3 FACTOR ANALYSIS
    2.5 ASSUMPTIONS 
    2.6 LIMITATIONS 
    2.7 IMPLICATION OF RECESSION ON GLOBAL ARTIFICIAL INTELLIGENCE MARKET 
 
3 EXECUTIVE SUMMARY (Page No. - 91)
    TABLE 4 AI MARKET SIZE AND GROWTH RATE, 2017–2022 (USD MILLION, Y-O-Y GROWTH) 
    TABLE 5 AI MARKET SIZE AND GROWTH RATE, 2023–2030 (USD MILLION, Y-O-Y GROWTH) 
    FIGURE 8 SOFTWARE TO BE DOMINANT ARTIFICIAL INTELLIGENCE MARKET IN 2023 
    FIGURE 9 ACCELERATORS TO DOMINATE ARTIFICIAL INTELLIGENCE HARDWARE MARKET IN 2023 
    FIGURE 10 GRAPHICS PROCESSING UNITS TO DOMINATE OVER OTHER PROCESSORS IN ARTIFICIAL INTELLIGENCE PROCESSORS IN 2023 
    FIGURE 11 PRE-TRAINED MODELS TO LEAD MARKET AMONG ARTIFICIAL INTELLIGENCE SOFTWARE TYPES IN 2023 
    FIGURE 12 CLOUD DEPLOYMENT TO ACCOUNT FOR LARGEST MARKET SIZE IN ARTIFICIAL INTELLIGENCE SOFTWARE DEPLOYMENT MARKET IN 2023 
    FIGURE 13 PROFESSIONAL SERVICES TO LEAD MARKET FOR ARTIFICIAL INTELLIGENCE SERVICES IN 2023 
    FIGURE 14 CONSULTING SERVICES TO BE LEADING PROFESSIONAL SERVICES MARKET FOR ARTIFICIAL INTELLIGENCE MARKET IN 2023 
    FIGURE 15 MACHINE LEARNING TO BE MOST PREFERRED TECHNOLOGY IN AI INDUSTRY IN 2023 
    FIGURE 16 DEEP LEARNING TO DOMINATE AMONG MACHINE LEARNING TECHNOLOGIES IN MARKET IN 2023 
    FIGURE 17 NATURAL LANGUAGE UNDERSTANDING TO BE PREFERRED OVER GENERATION IN MARKET IN 2023 
    FIGURE 18 MARKETING & SALES TO BE LEADING BUSINESS FUNCTION IN MARKET IN 2023 
    FIGURE 19 BFSI VERTICAL TO ACCOUNT FOR LARGEST MARKET IN 2023 
    FIGURE 20 NORTH AMERICA MARKET TO ACCOUNT FOR LARGEST SHARE IN 2023 
 
4 PREMIUM INSIGHTS (Page No. - 99)
    4.1 ATTRACTIVE OPPORTUNITIES FOR AI INDUSTRY PLAYERS 
           FIGURE 21 RISING INVESTMENTS IN ARTIFICIAL INTELLIGENCE MARKET RESEARCH & DEVELOPMENT TO DRIVE MARKET GROWTH
    4.2 OVERVIEW OF RECESSION IN GLOBAL MARKET 
           FIGURE 22 MARKET TO WITNESS MINOR DECLINE IN Y-O-Y AI GROWTH IN 2023
    4.3 MARKET, BY KEY BUSINESS FUNCTION 
           FIGURE 23 MARKETING & SALES BUSINESS FUNCTION TO ACCOUNT FOR LARGEST MARKET DURING FORECAST PERIOD
    4.4 MARKET, BY KEY OFFERING AND VERTICAL 
           FIGURE 24 SOFTWARE AND BFSI TO LEAD RESPECTIVE SEGMENTS IN MARKET IN 2023
    4.5 MARKET, BY REGION 
           FIGURE 25 NORTH AMERICA TO DOMINATE AI MARKET IN 2023
 
5 ARTIFICIAL INTELLIGENCE MARKET OVERVIEW AND AI INDUSTRY TRENDS (Page No. - 102)
    5.1 INTRODUCTION 
    5.2 MARKET DYNAMICS 
           FIGURE 26 DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES: AI INDUSTRY
           5.2.1 DRIVERS
                    5.2.1.1 Growth in adoption of autonomous artificial intelligence
                    5.2.1.2 Rise in technological advancements and innovations
                    5.2.1.3 Advancements in deep learning and growth of data-based artificial intelligence
           5.2.2 RESTRAINTS
                    5.2.2.1 Shortage of skilled artificial intelligence professionals
                    5.2.2.2 Issues related to data availability and quality
           5.2.3 OPPORTUNITIES
                    5.2.3.1 Rapid growth in digital data from various sources
                    5.2.3.2 Rise in investment in research & development by businesses and governments
           5.2.4 CHALLENGES
                    5.2.4.1 Data privacy and security concerns
                    5.2.4.2 Concerns related to bias and inaccurately generated output
    5.3 ETHICS AND IMPLICATIONS OF ARTIFICIAL INTELLIGENCE MARKET 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
    5.4 INVESTMENTS IN ARTIFICIAL INTELLIGENCE 
           TABLE 6 MAJOR INVESTMENTS IN ARTIFICIAL INTELLIGENCE, 2019–2023
    5.5 ACQUISITIONS IN MARKET 
           TABLE 7 MAJOR ACQUISITIONS IN MARKET BETWEEN 2019 AND 2023
    5.6 EVOLUTION OF ARTIFICIAL INTELLIGENCE TECHNOLOGY 
           5.6.1 MILESTONES OF ARTIFICIAL INTELLIGENCE
                    FIGURE 27 MILESTONES OF ARTIFICIAL INTELLIGENCE
           5.6.2 AUTONOMY LEVELS OF ARTIFICIAL INTELLIGENCE
                    5.6.2.1 Weak artificial intelligence/Artificial Narrow Intelligence (ANI)
                    5.6.2.2 Strong artificial intelligence
                               5.6.2.2.1 Artificial General Intelligence (AGI)
                               5.6.2.2.2 Artificial Super Intelligence (ASI)
    5.7 MARKET ECOSYSTEM 
           FIGURE 28 ARTIFICIAL INTELLIGENCE MARKET ECOSYSTEM (PART 1/2)
           FIGURE 29 ARTIFICIAL INTELLIGENCE ECOSYSTEM (PART 2/2)
           TABLE 8 ARTIFICIAL INTELLIGENCE MARKET: HARDWARE PROVIDERS
           TABLE 9 AI MARKET: SOFTWARE PROVIDERS
           TABLE 10 AI MARKET: PLATFORM PROVIDERS
           TABLE 11 AI INDUSTRY GROWTH RATE: NETWORK PROVIDERS
           TABLE 12 AI MARKET: SECURITY PROVIDERS
           TABLE 13 AI MARKET SHARE: SERVICE PROVIDERS
           TABLE 14 ARTIFICIAL INTELLIGENCE FORECAST: CLOUD PROVIDERS
    5.8 CASE STUDY ANALYSIS 
           5.8.1 RETAIL & ECOMMERCE
                    5.8.1.1 ASOS used Microsoft Azure’s ML service to reduce time-to-market for recommendations model
                    5.8.1.2 AWS’ technologies helped Artfinder offer recommendations to customers
                    5.8.1.3 Formosa Optical approached Appier to optimize customer satisfaction and unblock retail opportunity
           5.8.2 HEALTHCARE & LIFE SCIENCES
                    5.8.2.1 Tamil Nadu eGovernance Agency (TNeGA) used an AI-based mobile app to enable screening of people for cataract
                    5.8.2.2 Inspire used ML to connect millions of patients and caregivers on AWS
                    5.8.2.3 UCSF Health leverages H2O document artificial intelligence to automate workflows in healthcare
           5.8.3 BFSI
                    5.8.3.1 Humana used Watson Assistant to address customer queries
                    5.8.3.2 PayPal collaborated with H2O.ai to improve fraud detection accuracy and decrease its time
                    5.8.3.3 Vanguard Institutional utilized Persado to scale its personalization efforts for customer messages
           5.8.4 AGRICULTURE
                    5.8.4.1 Biochemical company built digital solution to deliver accurate product recommendations using artificial intelligence
                    5.8.4.2 Agrochemical company used precision farming solutions to predict mildew disease in crops
           5.8.5 MANUFACTURING
                    5.8.5.1 Kia Motors America relied on artificial intelligence solutions from SAS to improve its customer satisfaction
                    5.8.5.2 US-based Fortune 500 home appliances corporation approached Fosfor to improve its warranty and after-sales management
           5.8.6 CONSTRUCTION
                    5.8.6.1 General Contractor leveraged ALICE on Silicon Valley Project to save millions
           5.8.7 EDUCATION
                    5.8.7.1 NC State University leveraged Lumen5 to boost its online presence
           5.8.8 ENERGY & UTILITIES
                    5.8.8.1 Kore.ai enabled energy company to enhance customer service with conversational AI
           5.8.9 AUTOMOTIVE
                    5.8.9.1 Zoox approached AWS to boost development of self-driving cars
           5.8.10 TELECOM
                    5.8.10.1 Vodafone utilized Persado’s Motivation AI to develop creative campaigns through generative AI
           5.8.11 IT/ITES
                    5.8.11.1 Twilio leveraged Aisera’s generative AI technology and service to scale IT operations
    5.9 TECHNOLOGY ANALYSIS 
           5.9.1 KEY TECHNOLOGIES
                    5.9.1.1 Generative AI
                    5.9.1.2 Conversational AI
                    5.9.1.3 Autonomous AI & Autonomous Agent
                    5.9.1.4 AutoML
                    5.9.1.5 Causal AI
                    5.9.1.6 Decision Intelligence
                    5.9.1.7 MLOps
                    5.9.1.8 Embedded AI
                    5.9.1.9 Composite AI
           5.9.2 ADJACENT TECHNOLOGIES
                    5.9.2.1 Predictive Analytics
                    5.9.2.2 IoT
                    5.9.2.3 Big Data
                    5.9.2.4 Augmented Reality
                    5.9.2.5 Virtual Reality
                    5.9.2.6 Sensors and Robotics
    5.10 VALUE CHAIN ANALYSIS 
           FIGURE 30 ARTIFICIAL INTELLIGENCE MARKET: VALUE CHAIN ANALYSIS
    5.11 PORTER’S FIVE FORCES ANALYSIS 
                    FIGURE 31 MARKET: PORTER’S FIVE FORCES ANALYSIS
                    TABLE 15 MARKET: PORTER’S FIVE FORCES ANALYSIS
           5.11.1 THREAT OF NEW ENTRANTS
           5.11.2 THREAT OF SUBSTITUTES
           5.11.3 BARGAINING POWER OF SUPPLIERS
           5.11.4 BARGAINING POWER OF BUYERS
           5.11.5 INTENSITY OF COMPETITIVE RIVALRY
    5.12 PRICING MODEL ANALYSIS 
           5.12.1 INDICATIVE PRICING OF KEY OFFERINGS
                    TABLE 16 PRICING ANALYSIS
           5.12.2 ARTIFICIAL INTELLIGENCE MARKET: AVERAGE SELLING PRICES
                    FIGURE 32 AVERAGE SELLING PRICES OF KEY COMPANIES (USD)
    5.13 PATENT ANALYSIS 
           5.13.1 METHODOLOGY
           5.13.2 DOCUMENT TYPE
                    TABLE 17 PATENTS FILED, 2013–2023
           5.13.3 INNOVATION AND PATENT APPLICATIONS
                    FIGURE 33 ANNUAL NUMBER OF PATENTS GRANTED, 2013–2023
                    5.13.3.1 Top applicants
                               FIGURE 34 TOP TEN PATENT APPLICANT COMPANIES, 2013–2023
                               TABLE 18 TOP 20 PATENT OWNERS IN MARKET, 2013–2023
                               TABLE 19 LIST OF MAJOR PATENTS IN MARKET, 2021–2023
                               TABLE 20 MOIT- REGIONAL ANALYSIS OF PATENTS GRANTED, 2013–2023
    5.14 KEY CONFERENCES AND EVENTS 
                    TABLE 21 DETAILED LIST OF CONFERENCES AND EVENTS, 2023–2024
    5.15 TARIFF AND REGULATORY LANDSCAPE 
           5.15.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                    TABLE 22 NORTH AMERICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                    TABLE 23 EUROPE: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                    TABLE 24 ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                    TABLE 25 ROW: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
           5.15.2 NORTH AMERICA
                    5.15.2.1 US
                               5.15.2.1.1 California Consumer Privacy Act (CCPA)
                               5.15.2.1.2 Health Insurance Portability and Accountability Act (HIPAA)
                               5.15.2.1.3 Artificial Intelligence Risk Management Framework 1.0 (RMF)
                    5.15.2.2 Canada
                               5.15.2.2.1 Public Safety Canada Regulation
           5.15.3 EUROPE
                    5.15.3.1 General Data Protection Regulation (GDPR)
                    5.15.3.2 EU Regulatory Framework for AI
           5.15.4 ASIA PACIFIC
                    5.15.4.1 South Korea
                               5.15.4.1.1 Personal Information Protection Act (PIPA)
                    5.15.4.2 China
                    5.15.4.3 India
           5.15.5 MIDDLE EAST & AFRICA
                    5.15.5.1 UAE
                               5.15.5.1.1 UAE AI Regulations
                    5.15.5.2 KSA
                               5.15.5.2.1 Saudi Arabia National AI Strategy
                    5.15.5.3 Bahrain
                               5.15.5.3.1 Bahrain AI Ethics Framework
           5.15.6 LATIN AMERICA
                    5.15.6.1 Brazil
                               5.15.6.1.1 Brazil’s General Data Protection Law
                    5.15.6.2 Mexico
                               5.15.6.2.1 Mexico’s National Artificial Intelligence Strategy
    5.16 KEY STAKEHOLDERS AND BUYING CRITERIA 
           5.16.1 KEY STAKEHOLDERS IN BUYING PROCESS
                    FIGURE 35 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE VERTICALS
                    TABLE 26 INFLUENCE OF STAKEHOLDERS IN BUYING PROCESS FOR TOP THREE VERTICALS
           5.16.2 BUYING CRITERIA
                    FIGURE 36 KEY BUYING CRITERIA FOR TOP THREE VERTICALS
                    TABLE 27 KEY BUYING CRITERIA FOR TOP THREE VERTICALS
    5.17 TRENDS/DISRUPTIONS IMPACTING BUYERS/CLIENTS IN MARKET 
                    FIGURE 37 MARKET: TRENDS/DISRUPTIONS IMPACTING BUYERS/CLIENTS
    5.18 BEST PRACTICES IN AI MARKET 
    5.19 TECHNOLOGY ROADMAP 
                    TABLE 28 TECHNOLOGY ROADMAP OF AI MARKET
    5.2 BUSINESS MODELS 
           FIGURE 38 BUSINESS MODELS OF AI MARKET
 
6 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING (Page No. - 169)
    6.1 INTRODUCTION 
           6.1.1 OFFERING: AI MARKET DRIVERS
                    FIGURE 39 ARTIFICIAL INTELLIGENCE SERVICES TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
                    TABLE 29 AI MARKET, BY OFFERING, 2017–2022 (USD MILLION)
                    TABLE 30 AI MARKET, BY OFFERING, 2023–2030 (USD MILLION)
    6.2 HARDWARE 
           6.2.1 RISE IN COMPETITION AMONG BUSINESSES
                    FIGURE 40 ACCELERATORS TO WITNESS HIGHEST CAGR IN ARTIFICIAL INTELLIGENCE HARDWARE MARKET
                    TABLE 31 AI MARKET GROWTH, BY HARDWARE, 2017–2022 (USD MILLION)
                    TABLE 32 AI MARKET, BY HARDWARE, 2023–2030 (USD MILLION)
                    TABLE 33 HARDWARE: AI MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 34 HARDWARE: AI MARKET, BY REGION, 2023–2030 (USD MILLION)
           6.2.2 ACCELERATORS
                    6.2.2.1 Rise in demand for more optimized processing in artificial intelligence applications
                               TABLE 35 ACCELERATORS: MARKET, BY REGION, 2017–2022 (USD MILLION)
                               TABLE 36 ACCELERATORS: MARKET, BY REGION, 2023–2030 (USD MILLION)
           6.2.3 PROCESSORS
                    6.2.3.1 Technological advancements pave way for smaller, more powerful, and more efficient chips
                               FIGURE 41 FIELD PROGRAMMABLE GATE ARRAYS TO BE FASTEST-GROWING ARTIFICIAL INTELLIGENCE PROCESSORS MARKET
                               TABLE 37 ARTIFICIAL INTELLIGENCE MARKET, BY PROCESSOR, 2017–2022 (USD MILLION)
                               TABLE 38 AI GROWTH RATE, BY PROCESSOR, 2023–2030 (USD MILLION)
                               TABLE 39 PROCESSORS: AI MARKET, BY REGION, 2017–2022 (USD MILLION)
                               TABLE 40 PROCESSORS: AI MARKET, BY REGION, 2023–2030 (USD MILLION)
                    6.2.3.2 Microprocessing units
                               TABLE 41 MICROPROCESSING UNITS: AI GROWTH RATE, BY REGION, 2017–2022 (USD MILLION)
                               TABLE 42 MICROPROCESSING UNITS: MARKET, BY REGION, 2023–2030 (USD MILLION)
                    6.2.3.3 Graphics processing units
                               TABLE 43 GRAPHICS PROCESSING UNITS: AI MARKET, BY REGION, 2017–2022 (USD MILLION)
                               TABLE 44 GRAPHICS PROCESSING UNITS: AI MARKET, BY REGION, 2023–2030 (USD MILLION)
                    6.2.3.4 Field programmable gate arrays
                               TABLE 45 FIELD PROGRAMMABLE GATE ARRAYS: AI MARKET, BY REGION, 2017–2022 (USD MILLION)
                               TABLE 46 FIELD PROGRAMMABLE GATE ARRAYS: MARKET, BY REGION, 2023–2030 (USD MILLION)
                    6.2.3.5 Other processors
                               TABLE 47 OTHER PROCESSORS: AI GROWTH RATE, BY REGION, 2017–2022 (USD MILLION)
                               TABLE 48 OTHER PROCESSORS: MARKET, BY REGION, 2023–2030(USD MILLION)
           6.2.4 MEMORY
                    6.2.4.1 Advancements in specialized solutions in AI
                               TABLE 49 MEMORY: MARKET, BY REGION, 2017–2022 (USD MILLION)
                               TABLE 50 MEMORY: MARKET, BY REGION, 2023–2030 (USD MILLION)
           6.2.5 NETWORK
                    6.2.5.1 Need to offer seamless communication between various components within network
                               TABLE 51 NETWORK: AI GROWTH RATE, BY REGION, 2017–2022 (USD MILLION)
                               TABLE 52 NETWORK: MARKET, BY REGION, 2023–2030 (USD MILLION)
    6.3 SOFTWARE 
           6.3.1 ARTIFICIAL INTELLIGENCE MARKET SOFTWARE SYNTHESIZES DATA FOR COMPUTERS TO PERFORM COMPLEX OPERATIONS
                    FIGURE 42 PRE-TRAINED MODELS SEGMENT TO BE LARGEST MARKET DURING FORECAST PERIOD
                    TABLE 53 SOFTWARE: ARTIFICIAL INTELLIGENCE (AI) MARKET, BY TYPE, 2017–2022 (USD MILLION)
                    TABLE 54 SOFTWARE: AI MARKET, BY TYPE, 2023–2030 (USD MILLION)
                    TABLE 55 SOFTWARE: AI INDUSTRY Growth, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 56 SOFTWARE: AI MARKET, BY REGION, 2023–2030 (USD MILLION)
           6.3.2 SOFTWARE: AI MARKET, BY TYPE
                    6.3.2.1 Pre-trained models
                               TABLE 57 PRE-TRAINED MODELS: MARKET, BY REGION, 2017–2022 (USD MILLION)
                               TABLE 58 PRE-TRAINED MODELS: MARKET, BY REGION, 2023–2030 (USD MILLION)
                    6.3.2.2 Customizable AI Growth
                               6.3.2.2.1 Tailoring artificial intelligence models for specific requirements and enhanced performance
                               TABLE 59 CUSTOMIZABLE AI: MARKET, BY REGION, 2017–2022 (USD MILLION)
                               TABLE 60 CUSTOMIZABLE AI: MARKET, BY REGION, 2023–2030 (USD MILLION)
                    6.3.2.3 Edge AI
                               6.3.2.3.1 Need to deploy artificial intelligence algorithms directly on devices
                               TABLE 61 EDGE AI: MARKET, BY REGION, 2017–2022 (USD MILLION)
                               TABLE 62 EDGE AI: MARKET, BY REGION, 2023–2030 (USD MILLION)
                    6.3.2.4 AI Growth marketplaces
                               6.3.2.4.1 Need to access and leverage wide range of artificial intelligence resources
                               TABLE 63 AI MARKETPLACES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2017–2022 (USD MILLION)
                               TABLE 64 AI MARKETPLACES: MARKET, BY REGION, 2023–2030 (USD MILLION)
           6.3.3 SOFTWARE: ARTIFICIAL INTELLIGENCE (AI) MARKET, BY DEPLOYMENT
                    FIGURE 43 CLOUD DEPLOYMENT TO GROW AT HIGHER CAGR DURING FORECAST PERIOD
                    TABLE 65 SOFTWARE: ARTIFICIAL INTELLIGENCE (AI) MARKET, BY DEPLOYMENT, 2017–2022 (USD MILLION)
                    TABLE 66 SOFTWARE: AI INDUSTRY Growth, BY DEPLOYMENT, 2023–2030 (USD MILLION)
                    6.3.3.1 On-premises
                               6.3.3.1.1 Need for stringent data privacy and security policies
                               TABLE 67 ON-PREMISES: MARKET, BY REGION, 2017–2022 (USD MILLION)
                               TABLE 68 ON-PREMISES: MARKET, BY REGION, 2023–2030 (USD MILLION)
                    6.3.3.2 Cloud
                               6.3.3.2.1 Ability to offer flexibility in terms of resource allocation
                               TABLE 69 CLOUD: MARKET, BY REGION, 2017–2022 (USD MILLION)
                               TABLE 70 CLOUD: MARKET, BY REGION, 2023–2030 (USD MILLION)
    6.4 SERVICES 
           6.4.1 COMPLEX ALGORITHMS OF TECHNOLOGIES PROVIDING ONLINE AND OFFLINE SUPPORT SERVICES TO AI MARKET VENDORS
                    FIGURE 44 MANAGED SERVICES TO GROW AT HIGHER CAGR DURING FORECAST PERIOD
                    TABLE 71 ARTIFICIAL INTELLIGENCE INDUSTRY, BY SERVICE, 2017–2022 (USD MILLION)
                    TABLE 72 ARTIFICIAL INTELLIGENCE INDUSTRY, BY SERVICE, 2023–2030 (USD MILLION)
                    TABLE 73 SERVICES: ARTIFICIAL INTELLIGENCE INDUSTRY, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 74 SERVICES: ARTIFICIAL INTELLIGENCE INDUSTRY, BY REGION, 2023–2030 (USD MILLION)
           6.4.2 PROFESSIONAL SERVICES
                    6.4.2.1 Greater need for comprehensive support for deploying power of artificial solutions
                               FIGURE 45 SUPPORT & MAINTENANCE SEGMENT TO GROW AT HIGHER CAGR DURING FORECAST PERIOD
                               TABLE 75 ARTIFICIAL INTELLIGENCE MARKET, BY PROFESSIONAL SERVICE, 2017–2022 (USD MILLION)
                               TABLE 76 AI INDUSTRY, BY PROFESSIONAL SERVICE, 2023–2030 (USD MILLION)
                               TABLE 77 PROFESSIONAL SERVICES: MARKET, BY REGION, 2017–2022 (USD MILLION)
                               TABLE 78 PROFESSIONAL SERVICES: MARKET, BY REGION, 2023–2030 (USD MILLION)
                               6.4.2.1.1 Consulting services
                               TABLE 79 CONSULTING SERVICES: MARKET, BY REGION, 2017–2022 (USD MILLION)
                               TABLE 80 CONSULTING SERVICES: MARKET, BY REGION, 2023–2030 (USD MILLION)
                                             6.4.2.1.1.1 Training & education
                                             6.4.2.1.1.2 Designing & testing
                               6.4.2.1.2 Deployment & integration
                               TABLE 81 DEPLOYMENT & INTEGRATION: MARKET, BY REGION, 2017–2022 (USD MILLION)
                               TABLE 82 DEPLOYMENT & INTEGRATION: MARKET, BY REGION, 2023–2030 (USD MILLION)
                               6.4.2.1.3 Support & maintenance
                               TABLE 83 SUPPORT & MAINTENANCE: MARKET, BY REGION, 2017–2022 (USD MILLION)
                               TABLE 84 SUPPORT & MAINTENANCE: MARKET, BY REGION, 2023–2030 (USD MILLION)
           6.4.3 MANAGED SERVICES
                    6.4.3.1 Ensuring seamless artificial intelligence infrastructure
                               TABLE 85 MANAGED SERVICES: MARKET, BY REGION, 2017–2022 (USD MILLION)
                               TABLE 86 MANAGED SERVICES: MARKET, BY REGION, 2023–2030 (USD MILLION)
 
7 ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY (Page No. - 202)
    7.1 INTRODUCTION 
           7.1.1 TECHNOLOGY: AI MARKET DRIVERS
                    FIGURE 46 COMPUTER VISION TECHNOLOGY TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
                    TABLE 87 ARTIFICIAL INTELLIGENCE INDUSTRY, BY TECHNOLOGY, 2017–2022 (USD MILLION)
                    TABLE 88 ARTIFICIAL INTELLIGENCE INDUSTRY, BY TECHNOLOGY, 2023–2030 (USD MILLION)
    7.2 MACHINE LEARNING 
           7.2.1 RAPID GROWTH IN COMPUTATIONAL CAPABILITIES
                    FIGURE 47 REINFORCEMENT LEARNING TO BE FASTEST-GROWING MACHINE LEARNING TECHNOLOGY DURING FORECAST PERIOD
                    TABLE 89 MARKET, BY MACHINE LEARNING, 2017–2022 (USD MILLION)
                    TABLE 90 MARKET, BY MACHINE LEARNING, 2023–2030 (USD MILLION)
                    TABLE 91 MACHINE LEARNING: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 92 MACHINE LEARNING: MARKET, BY REGION, 2023–2030 (USD MILLION)
           7.2.2 DEEP LEARNING
                    TABLE 93 DEEP LEARNING: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 94 DEEP LEARNING: MARKET, BY REGION, 2023–2030 (USD MILLION)
                    7.2.2.1 Convolutional Neural Networks (CNN)
                    7.2.2.2 Recurrent Neural Networks (RNN)
                               7.2.2.2.1 Generative Adversarial Networks (GAN)
                               7.2.2.2.2 Transformers
                                             7.2.2.2.2.1 GPT 1
                                             7.2.2.2.2.2 GPT 2
                                             7.2.2.2.2.3 GPT 3
                                             7.2.2.2.2.4 GPT 4
                                             7.2.2.2.2.5 Large Language Model (LLM)
           7.2.3 SUPERVISED LEARNING
                    TABLE 95 SUPERVISED LEARNING: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 96 SUPERVISED LEARNING: MARKET, BY REGION, 2023–2030 (USD MILLION)
           7.2.4 UNSUPERVISED LEARNING
                    TABLE 97 UNSUPERVISED LEARNING: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 98 UNSUPERVISED LEARNING: MARKET, BY REGION, 2023–2030 (USD MILLION)
           7.2.5 REINFORCEMENT LEARNING
                    TABLE 99 REINFORCEMENT LEARNING: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 100 REINFORCEMENT LEARNING: MARKET, BY REGION, 2023–2030 (USD MILLION)
    7.3 NATURAL LANGUAGE PROCESSING 
           7.3.1 NEED TO PROCESS VAST AMOUNTS OF VOICE AND TEXT DATA FROM VARIOUS SOURCES
                    FIGURE 48 NATURAL LANGUAGE GENERATION TO GROW AT HIGHER CAGR DURING FORECAST PERIOD
                    TABLE 101 ARTIFICIAL INTELLIGENCE MARKET, BY NATURAL LANGUAGE PROCESSING, 2017–2022 (USD MILLION)
                    TABLE 102 MARKET, BY NATURAL LANGUAGE PROCESSING, 2023–2030 (USD MILLION)
                    TABLE 103 NATURAL LANGUAGE PROCESSING: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 104 NATURAL LANGUAGE PROCESSING: MARKET, BY REGION, 2023–2030 (USD MILLION)
                    7.3.1.1 Natural Language Understanding (NLU)
                    7.3.1.2 Natural Language Generation (NLG)
    7.4 CONTEXT AWARENESS 
           7.4.1 HIGHER NEED TO CREATE PERSONALIZED USER EXPERIENCE AND ENHANCE DECISION-MAKING
                    TABLE 105 CONTEXT AWARENESS: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 106 CONTEXT AWARENESS: MARKET, BY REGION, 2023–2030 (USD MILLION)
    7.5 COMPUTER VISION 
           7.5.1 GROWTH IN APPLICATION OF COMPUTER VISION TECHNOLOGY ACROSS VARIOUS VERTICALS
                    TABLE 107 COMPUTER VISION: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 108 COMPUTER VISION: MARKET, BY REGION, 2023–2030 (USD MILLION)
 
8 ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION (Page No. - 219)
    8.1 INTRODUCTION 
           8.1.1 BUSINESS FUNCTION: MARKET DRIVERS
                    FIGURE 49 SUPPLY CHAIN MANAGEMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
                    TABLE 109 MARKET, BY BUSINESS FUNCTION, 2017–2022 (USD MILLION)
                    TABLE 110 MARKET, BY BUSINESS FUNCTION, 2023–2030 (USD MILLION)
    8.2 ARTIFICIAL INTELLIGENCE: ENTERPRISE USE CASES 
    8.3 FINANCE 
           8.3.1 ABILITY TO PROVIDE REAL-TIME ANALYSIS OF CUSTOMER DEMOGRAPHICS
                    TABLE 111 FINANCE: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 112 FINANCE: MARKET, BY REGION, 2023–2030 (USD MILLION)
           8.3.2 AI GROWTH IN ACCOUNTING
           8.3.3 AI GROWTH IN PAYROLL
           8.3.4 AI GROWTH IN FINANCIAL PLANNING & ANALYSIS
           8.3.5 OTHER FINANCE FUNCTIONS
    8.4 SECURITY 
           8.4.1 ENSURING CONFIDENTIALITY OF CRITICAL BUSINESS DATA WITH RAPID ADOPTION OF ARTIFICIAL INTELLIGENCE MARKET
                    TABLE 113 SECURITY: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 114 SECURITY: MARKET, BY REGION, 2023–2030 (USD MILLION)
           8.4.2 IDENTITY & ACCESS MANAGEMENT
           8.4.3 RISK & COMPLIANCE MANAGEMENT
           8.4.4 ENCRYPTION
           8.4.5 DATA LOSS PREVENTION
           8.4.6 UNIFIED THREAT MANAGEMENT
           8.4.7 ANTIVIRUS/ANTIMALWARE
           8.4.8 INTRUSION DETECTION/PREVENTION SYSTEMS
           8.4.9 OTHER SECURITY FUNCTIONS
    8.5 HUMAN RESOURCES 
           8.5.1 NEED TO OFFER PERSONALIZED TRAINING RECOMMENDATIONS BASED ON INDIVIDUAL SKILL GAPS
                    TABLE 115 HUMAN RESOURCES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 116 HUMAN RESOURCES: MARKET, BY REGION, 2023–2030 (USD MILLION)
           8.5.2 VIRTUAL ASSISTANT
           8.5.3 APPLICANT TRACKING & ASSESSMENT
           8.5.4 PERSONALIZED LEARNING & DEVELOPMENT
           8.5.5 HR ANALYTICS
           8.5.6 RECOMMENDATION ENGINE
           8.5.7 SENTIMENT ANALYSIS
           8.5.8 OTHER HUMAN RESOURCE FUNCTIONS
    8.6 LAW 
           8.6.1 PROVIDING EFFICIENT AND INNOVATIVE LEGAL ADVICE ON TECHNOLOGIES
                    TABLE 117 LAW: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 118 LAW: MARKET, BY REGION, 2023–2030 (USD MILLION)
           8.6.2 EDISCOVERY
           8.6.3 LEGAL RESEARCH
           8.6.4 CONTRACT ANALYSIS
           8.6.5 CASE PREDICTION
           8.6.6 COMPLIANCE
           8.6.7 OTHER LAW FUNCTIONS
    8.7 MARKETING & SALES 
           8.7.1 NEED TO FORECAST CUSTOMER PREFERENCES AND BEHAVIOR
                    TABLE 119 MARKETING & SALES: AI MARKET SIZE, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 120 MARKETING & SALES: AI MARKET SHARE, BY REGION, 2023–2030 (USD MILLION)
           8.7.2 SOCIAL MEDIA ADVERTISING
           8.7.3 SEARCH ADVERTISING
           8.7.4 DYNAMIC PRICING
           8.7.5 VIRTUAL ASSISTANT
           8.7.6 CONTENT CURATION
           8.7.7 SALES & MARKETING AUTOMATION
           8.7.8 OPTIMIZING SALES & MARKETING STRATEGIES
           8.7.9 OTHER MARKETING & SALES FUNCTIONS
    8.8 OPERATIONS 
           8.8.1 ABILITY TO ENHANCE EFFICIENCY AND OPTIMIZE RESOURCE UTILIZATION
                    TABLE 121 OPERATIONS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 122 OPERATIONS: AI MARKET, BY REGION, 2023–2030 (USD MILLION)
           8.8.2 PROJECT MANAGEMENT
           8.8.3 PROCESS AUTOMATION
           8.8.4 INTELLIGENT DOCUMENT PROCESSING
           8.8.5 RESOURCE OPTIMIZATION
           8.8.6 PROCESS MONITORING & CONTROL
           8.8.7 OTHER OPERATIONAL FUNCTIONS
    8.9 SUPPLY CHAIN MANAGEMENT 
           8.9.1 DEMAND FROM BUSINESSES TO ACHIEVE END-TO-END VISIBILITY AND OPTIMIZE PROCESSES
                    TABLE 123 SUPPLY CHAIN MANAGEMENT: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 124 SUPPLY CHAIN MANAGEMENT: MARKET, BY REGION, 2023–2030 (USD MILLION)
           8.9.2 SUPPLY CHAIN VISIBILITY
           8.9.3 SUPPLIER MANAGEMENT
           8.9.4 WAREHOUSE MANAGEMENT
           8.9.5 INVENTORY OPTIMIZATION
           8.9.6 DEMAND FORECASTING
           8.9.7 OTHERS SUPPLY MANAGEMENT FUNCTIONS
 
9 ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL (Page No. - 243)
    9.1 INTRODUCTION 
           9.1.1 VERTICAL: AI MARKET DRIVERS
                    FIGURE 50 HEALTHCARE & LIFE SCIENCES TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
                    TABLE 125 AI INDUSTRY, BY VERTICAL, 2017–2022 (USD MILLION)
                    TABLE 126 AI INDUSTRY, BY VERTICAL, 2023–2030 (USD MILLION)
    9.2 BFSI 
           9.2.1 RAPID ADOPTION OF ADVANCED ALGORITHMS AND DATA ANALYSIS
                    TABLE 127 BFSI: AI MARKET SIZE, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 128 BFSI: AI MARKET SHARE, BY REGION, 2023–2030 (USD MILLION)
           9.2.2 BFSI: AI MARKET, BY APPLICATION
                    TABLE 129 BFSI: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2017–2022 (USD MILLION)
                    TABLE 130 BFSI: AI INDUSTRY, BY APPLICATION, 2023–2030 (USD MILLION)
           9.2.3 FRAUD DETECTION & PREVENTION
           9.2.4 RISK ASSESSMENT & MANAGEMENT
           9.2.5 ALGORITHMIC TRADING
           9.2.6 CREDIT SCORING & UNDERWRITING
           9.2.7 CUSTOMER SERVICE AUTOMATION
           9.2.8 PERSONALIZED FINANCIAL RECOMMENDATION
           9.2.9 INVESTMENT PORTFOLIO MANAGEMENT
           9.2.10 REGULATORY COMPLIANCE MONITORING
           9.2.11 OTHER BFSI APPLICATIONS
    9.3 RETAIL & ECOMMERCE 
           9.3.1 DEMAND FOR PERSONALIZED SHOPPING EXPERIENCE AND ENHANCE CUSTOMER SATISFACTION
                    TABLE 131 RETAIL & ECOMMERCE: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 132 RETAIL & ECOMMERCE: AI MARKET SHARE, BY REGION, 2023–2030 (USD MILLION)
           9.3.2 RETAIL & ECOMMERCE: AI MARKET SIZE, BY APPLICATION
                    TABLE 133 RETAIL & ECOMMERCE: MARKET, BY APPLICATION, 2017–2022 (USD MILLION)
                    TABLE 134 RETAIL & ECOMMERCE: AI MARKET GROWTH, BY APPLICATION, 2023–2030 (USD MILLION)
           9.3.3 PERSONALIZED PRODUCT RECOMMENDATION
           9.3.4 CUSTOMER RELATIONSHIP MANAGEMENT
           9.3.5 VISUAL SEARCH
           9.3.6 VIRTUAL CUSTOMER ASSISTANT
           9.3.7 PRICE OPTIMIZATION
           9.3.8 PAYMENT SERVICE MANAGEMENT
           9.3.9 SUPPLY CHAIN MANAGEMENT & DEMAND PLANNING
           9.3.10 VIRTUAL STORES
           9.3.11 OTHER RETAIL & ECOMMERCE APPLICATIONS
    9.4 AUTOMOTIVE, TRANSPORTATION, AND LOGISTICS 
           9.4.1 HIGHER DEMAND FOR ENHANCED EFFICIENCY
                    TABLE 135 AUTOMOTIVE, TRANSPORTATION, AND LOGISTICS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 136 AUTOMOTIVE, TRANSPORTATION, AND LOGISTICS: MARKET, BY REGION, 2023–2030 (USD MILLION)
           9.4.2 AUTOMOTIVE, TRANSPORTATION, AND LOGISTICS: AI MARKET SIZE, BY APPLICATION
                    TABLE 137 AUTOMOTIVE, TRANSPORTATION, AND LOGISTICS: AI INDUSTRY GROWTH, BY APPLICATION, 2017–2022 (USD MILLION)
                    TABLE 138 AUTOMOTIVE, TRANSPORTATION, AND LOGISTICS: AI MARKET SHARE, BY APPLICATION, 2023–2030 (USD MILLION)
           9.4.3 SEMI-AUTONOMOUS & AUTONOMOUS VEHICLES
           9.4.4 ROUTE OPTIMIZATION
           9.4.5 INTELLIGENT TRAFFIC MANAGEMENT
           9.4.6 DRIVER ASSISTANCE SYSTEM
           9.4.7 SMART LOGISTICS & WAREHOUSING
           9.4.8 SUPPLY CHAIN VISIBILITY & TRACKING
           9.4.9 FLEET MANAGEMENT
           9.4.10 VEHICLE DIAGNOSTICS AND TELEMATICS
           9.4.11 TRAFFIC PATTERN ANALYSIS
           9.4.12 OTHER AUTOMOTIVE, TRANSPORTATION, AND LOGISTICS APPLICATIONS
    9.5 GOVERNMENT & DEFENSE 
           9.5.1 INITIATIVES TAKEN BY GOVERNMENTS TO STRENGTHEN NATIONAL SECURITY
                    TABLE 139 GOVERNMENT & DEFENSE: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 140 GOVERNMENT & DEFENSE: MARKET, BY REGION, 2023–2030 (USD MILLION)
           9.5.2 GOVERNMENT & DEFENSE: MARKET, BY APPLICATION
                    TABLE 141 GOVERNMENT & DEFENSE: MARKET, BY APPLICATION, 2017–2022 (USD MILLION)
                    TABLE 142 GOVERNMENT & DEFENSE: MARKET, BY APPLICATION, 2023–2030 (USD MILLION)
           9.5.3 SMART TICKETING
           9.5.4 AUTONOMOUS SURVEILLANCE & MONITORING SYSTEMS
           9.5.5 LAW ENFORCEMENT
           9.5.6 INTELLIGENCE ANALYSIS & DATA PROCESSING
           9.5.7 BORDER SECURITY & SURVEILLANCE
           9.5.8 DISASTER RESPONSE & DISCOVERY ASSISTANCE
           9.5.9 UNMANNED UNDERWATER AND AERIAL VEHICLES
           9.5.10 EGOVERNANCE & DIGITAL CITY SERVICES
           9.5.11 OTHER GOVERNMENT & DEFENSE APPLICATIONS
    9.6 HEALTHCARE & LIFESCIENCES 
           9.6.1 BURGEONING NEED TO ENHANCE HEALTHCARE OUTCOMES
                    TABLE 143 HEALTHCARE & LIFESCIENCES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 144 HEALTHCARE & LIFESCIENCES: MARKET, BY REGION, 2023–2030 (USD MILLION)
           9.6.2 HEALTHCARE & LIFE SCIENCES: MARKET, BY APPLICATION
                    TABLE 145 HEALTHCARE & LIFE SCIENCES: MARKET, BY APPLICATION, 2017–2022 (USD MILLION)
                    TABLE 146 HEALTHCARE & LIFE SCIENCES: MARKET, BY APPLICATION, 2023–2030 (USD MILLION)
           9.6.3 PATIENT DATA & RISK ANALYSIS
           9.6.4 LIFESTYLE MANAGEMENT & MONITORING AND WEARABLES
           9.6.5 PRECISION MEDICINE
           9.6.6 INPATIENT CARE & HOSPITAL MANAGEMENT
           9.6.7 MEDICAL IMAGING & DIAGNOSTICS
           9.6.8 DRUG DISCOVERY
           9.6.9 ROBOTICS SURGERY & ASSISTANCE
           9.6.10 MEDICAL RESEARCH
           9.6.11 OTHER HEALTHCARE & LIFE SCIENCE APPLICATIONS
    9.7 TELECOM 
           9.7.1 OPTIMIZED NETWORK PERFORMANCE AND PREVENTING NETWORK OUTAGES
                    TABLE 147 TELECOM: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 148 TELECOM: MARKET, BY REGION, 2023–2030 (USD MILLION)
           9.7.2 TELECOM: MARKET, BY APPLICATION
                    TABLE 149 TELECOM: MARKET, BY APPLICATION, 2017–2022 (USD MILLION)
                    TABLE 150 TELECOM: MARKET, BY APPLICATION, 2023–2030 (USD MILLION)
           9.7.3 NETWORK OPTIMIZATION
           9.7.4 NETWORK SECURITY
           9.7.5 CUSTOMER SERVICE & SUPPORT
           9.7.6 NETWORK ANALYTICS
           9.7.7 INTELLIGENT CALL ROUTING
           9.7.8 NETWORK FAULT PREDICTION
           9.7.9 VIRTUAL NETWORK ASSISTANT
           9.7.10 VOICE & SPEECH RECOGNITION
           9.7.11 OTHER TELECOM APPLICATIONS
    9.8 ENERGY & UTILITIES 
           9.8.1 EFFICIENT ENERGY UTILIZATION AND COST SAVINGS
                    TABLE 151 ENERGY & UTILITIES: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 152 ENERGY & UTILITIES: MARKET, BY REGION, 2023–2030 (USD MILLION)
           9.8.2 ENERGY & UTILITIES: MARKET, BY APPLICATION
                    TABLE 153 ENERGY & UTILITIES: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2017–2022 (USD MILLION)
                    TABLE 154 ENERGY & UTILITIES: MARKET, BY APPLICATION, 2023–2030 (USD MILLION)
           9.8.3 ENERGY DEMAND FORECASTING
           9.8.4 GRID OPTIMIZATION & MANAGEMENT
           9.8.5 ENERGY CONSUMPTION ANALYTICS
           9.8.6 SMART METERING & ENERGY DATA MANAGEMENT
           9.8.7 ENERGY STORAGE OPTIMIZATION
           9.8.8 REAL-TIME ENERGY MONITORING & CONTROL
           9.8.9 POWER QUALITY MONITORING & MANAGEMENT
           9.8.10 ENERGY TRADING & MARKETING FORECASTING
           9.8.11 INTELLIGENT ENERGY MANAGEMENT SYSTEMS
           9.8.12 OTHER ENERGY & UTILITY APPLICATIONS
    9.9 MANUFACTURING 
           9.9.1 ADOPTION OF INTELLIGENT SYSTEMS TO AUTOMATE AND OPTIMIZE OPERATIONS
                    TABLE 155 MANUFACTURING: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 156 MANUFACTURING: MARKET, BY REGION, 2023–2030 (USD MILLION)
           9.9.2 MANUFACTURING: ARTIFICIAL INTELLIGENCE INDUSTRY GROWTH, BY APPLICATION
                    TABLE 157 MANUFACTURING: MARKET, BY APPLICATION, 2017–2022 (USD MILLION)
                    TABLE 158 MANUFACTURING: MARKET, BY APPLICATION, 2023–2030 (USD MILLION)
           9.9.3 MATERIAL MOVEMENT MANAGEMENT
           9.9.4 PREDICTIVE MAINTENANCE & MACHINERY INSPECTION
           9.9.5 PRODUCTION PLANNING
           9.9.6 QUALITY CONTROL
           9.9.7 PRODUCTION LINE OPTIMIZATION
           9.9.8 INTELLIGENT INVENTORY MANAGEMENT
           9.9.9 AUTONOMOUS ROBOTICS
           9.9.10 OTHERS MANUFACTURING APPLICATIONS
    9.10 AGRICULTURE 
           9.10.1 INCREASE IN POTENTIAL TO MITIGATE ENVIRONMENTAL IMPACT
                    TABLE 159 AGRICULTURE: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 160 AGRICULTURE: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2023–2030 (USD MILLION)
           9.10.2 AGRICULTURE: MARKET, BY APPLICATION
                    TABLE 161 AGRICULTURE: MARKET, BY APPLICATION, 2017–2022 (USD MILLION)
                    TABLE 162 AGRICULTURE: MARKET, BY APPLICATION, 2023–2030 (USD MILLION)
           9.10.3 CROP MONITORING & YIELD PREDICTION
           9.10.4 PRECISION FARMING
           9.10.5 SOIL ANALYSIS & NUTRIENT MANAGEMENT
           9.10.6 PEST & DISEASE DETECTION
           9.10.7 IRRIGATION OPTIMIZATION & WATER MANAGEMENT
           9.10.8 AUTOMATED HARVESTING & SORTING
           9.10.9 WEED DETECTION & MANAGEMENT
                    9.10.10 WEATHER & CLIMATE MONITORING
                    9.10.11 LIVESTOCK MONITORING & HEALTH MANAGEMENT
                    9.10.12 OTHER AGRICULTURAL APPLICATIONS
    9.11 IT/ITES 
           9.11.1 RISE IN OPPORTUNITIES TO ENHANCE CUSTOMER EXPERIENCES AND DRIVE COMPETITIVE ADVANTAGE
                    TABLE 163 IT/ITES: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 164 IT/ITES: MARKET, BY REGION, 2023–2030 (USD MILLION)
           9.11.2 IT/ITES: MARKET, BY APPLICATION
                    TABLE 165 IT/ITES: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2017–2022 (USD MILLION)
                    TABLE 166 IT/ITES: MARKET, BY APPLICATION, 2023–2030 (USD MILLION)
           9.11.3 AUTOMATED CODE GENERATION & OPTIMIZATION
           9.11.4 AUTOMATED IT ASSET MANAGEMENT
           9.11.5 IT TICKETING & SUPPORT AUTOMATION
           9.11.6 INTELLIGENT DATA BACKUP & RECOVERY
           9.11.7 IT SERVICE MANAGEMENT AUTOMATION
           9.11.8 AUTOMATED SOFTWARE TESTING & QUALITY ASSURANCE
           9.11.9 OTHER IT/ITES APPLICATIONS
    9.12 MEDIA & ENTERTAINMENT 
           9.12.1 RISE IN NEED TO UNDERSTAND AND CATER TO INDIVIDUAL PREFERENCES AND BEHAVIORS
                    TABLE 167 MEDIA & ENTERTAINMENT: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 168 MEDIA & ENTERTAINMENT: MARKET, BY REGION, 2023–2030 (USD MILLION)
           9.12.2 MEDIA & ENTERTAINMENT: ARTIFICIAL INTELLIGENCE INDUSTRY GROWTH, BY APPLICATION
                    TABLE 169 MEDIA & ENTERTAINMENT: MARKET, BY APPLICATION, 2017–2022 (USD MILLION)
                    TABLE 170 MEDIA & ENTERTAINMENT: MARKET, BY APPLICATION, 2023–2030 (USD MILLION)
           9.12.3 CONTENT RECOMMENDATION SYSTEMS
           9.12.4 CONTENT CREATION & GENERATION
           9.12.5 CONTENT COPYRIGHT PROTECTION
           9.12.6 AUDIENCE ANALYTICS AND SEGMENTATION
           9.12.7 PERSONALIZED ADVERTISING
           9.12.8 OTHER MEDIA & ENTERTAINMENT APPLICATIONS
    9.13 OTHER VERTICALS 
                    TABLE 171 OTHER VERTICALS: AI MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 172 OTHER VERTICALS: AI MARKET, BY REGION, 2023–2030 (USD MILLION)
 
10 ARTIFICIAL INTELLIGENCE MARKET, BY REGION (Page No. - 299)
     10.1 INTRODUCTION 
               FIGURE 51 INDIA TO ACCOUNT FOR HIGHEST CAGR DURING FORECAST PERIOD
               FIGURE 52 ASIA PACIFIC TO ACCOUNT FOR HIGHEST CAGR DURING FORECAST PERIOD
               TABLE 173 ARTIFICIAL INTELLIGENCE INDUSTRY GROWTH, BY REGION, 2017–2022 (USD MILLION)
               TABLE 174 MARKET, BY REGION, 2023–2030 (USD MILLION)
     10.2 NORTH AMERICA 
             10.2.1 NORTH AMERICA: MARKET DRIVERS
             10.2.2 NORTH AMERICA: RECESSION IMPACT
                       FIGURE 53 NORTH AMERICA: ARTIFICIAL INTELLIGENCE MARKET SNAPSHOT
                       TABLE 175 NORTH AMERICA: MARKET, BY OFFERING, 2017–2022 (USD MILLION)
                       TABLE 176 NORTH AMERICA: MARKET, BY OFFERING, 2023–2030 (USD MILLION)
                       TABLE 177 NORTH AMERICA: MARKET, BY HARDWARE, 2017–2022 (USD MILLION)
                       TABLE 178 NORTH AMERICA: MARKET, BY HARDWARE, 2023–2030 (USD MILLION)
                       TABLE 179 NORTH AMERICA: MARKET, BY PROCESSOR, 2017–2022 (USD MILLION)
                       TABLE 180 NORTH AMERICA: MARKET, BY PROCESSOR, 2023–2030 (USD MILLION)
                       TABLE 181 NORTH AMERICA: MARKET, BY SOFTWARE, 2017–2022 (USD MILLION)
                       TABLE 182 NORTH AMERICA: MARKET, BY SOFTWARE, 2023–2030 (USD MILLION)
                       TABLE 183 NORTH AMERICA: ARTIFICIAL INTELLIGENCE SOFTWARE MARKET, BY DEPLOYMENT, 2017–2022 (USD MILLION)
                       TABLE 184 NORTH AMERICA: ARTIFICIAL INTELLIGENCE SOFTWARE MARKET, BY DEPLOYMENT, 2023–2030 (USD MILLION)
                       TABLE 185 NORTH AMERICA: ARTIFICIAL INTELLIGENCE (AI) MARKET FORECAST, BY SERVICE, 2017–2022 (USD MILLION)
                       TABLE 186 NORTH AMERICA: MARKET, BY SERVICE, 2023–2030 (USD MILLION)
                       TABLE 187 NORTH AMERICA: ARTIFICIAL INTELLIGENCE INDUSTRY GROWTH, BY PROFESSIONAL SERVICE, 2017–2022 (USD MILLION)
                       TABLE 188 NORTH AMERICA: AI MARKET, BY PROFESSIONAL SERVICE, 2023–2030 (USD MILLION)
                       TABLE 189 NORTH AMERICA: MARKET, BY TECHNOLOGY, 2017–2022 (USD MILLION)
                       TABLE 190 NORTH AMERICA: MARKET, BY TECHNOLOGY, 2023–2030 (USD MILLION)
                       TABLE 191 NORTH AMERICA: MARKET, BY MACHINE LEARNING, 2017–2022 (USD MILLION)
                       TABLE 192 NORTH AMERICA: ARTIFICIAL INTELLIGENCE MARKET FORECAST, BY MACHINE LEARNING, 2023–2030 (USD MILLION)
                       TABLE 193 NORTH AMERICA: MARKET, BY NATURAL LANGUAGE PROCESSING, 2017–2022 (USD MILLION)
                       TABLE 194 NORTH AMERICA: MARKET, BY NATURAL LANGUAGE PROCESSING, 2023–2030 (USD MILLION)
                       TABLE 195 NORTH AMERICA: AI MARKET, BY BUSINESS FUNCTION, 2017–2022 (USD MILLION)
                       TABLE 196 NORTH AMERICA: MARKET, BY BUSINESS FUNCTION, 2023–2030 (USD MILLION)
                       TABLE 197 NORTH AMERICA: MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
                       TABLE 198 NORTH AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2023–2030 (USD MILLION)
                       TABLE 199 NORTH AMERICA: BFSI VERTICAL MARKET, BY APPLICATION, 2017–2022 (USD MILLION)
                       TABLE 200 NORTH AMERICA: BFSI VERTICAL MARKET, BY APPLICATION, 2023–2030 (USD MILLION)
                       TABLE 201 NORTH AMERICA: RETAIL & ECOMMERCE VERTICAL MARKET, BY APPLICATION, 2017–2022 (USD MILLION)
                       TABLE 202 NORTH AMERICA: RETAIL & ECOMMERCE VERTICAL MARKET, BY APPLICATION, 2023–2030 (USD MILLION)
                       TABLE 203 NORTH AMERICA: AUTOMOTIVE, TRANSPORTATION, AND LOGISTICS VERTICAL MARKET, BY APPLICATION, 2017–2022 (USD MILLION)
                       TABLE 204 NORTH AMERICA: AUTOMOTIVE, TRANSPORTATION, AND LOGISTICS VERTICAL MARKET, BY APPLICATION, 2023–2030 (USD MILLION)
                       TABLE 205 NORTH AMERICA: GOVERNMENT & DEFENSE VERTICAL MARKET, BY APPLICATION, 2017–2022 (USD MILLION)
                       TABLE 206 NORTH AMERICA: GOVERNMENT & DEFENSE VERTICAL MARKET, BY APPLICATION, 2023–2030 (USD MILLION)
                       TABLE 207 NORTH AMERICA: HEALTHCARE & LIFE SCIENCES VERTICAL MARKET, BY APPLICATION, 2017–2022 (USD MILLION)
                       TABLE 208 NORTH AMERICA: HEALTHCARE & LIFE SCIENCES VERTICAL MARKET, BY APPLICATION, 2023–2030 (USD MILLION)
                       TABLE 209 NORTH AMERICA: TELECOM VERTICAL MARKET, BY APPLICATION, 2017–2022 (USD MILLION)
                       TABLE 210 NORTH AMERICA: TELECOM VERTICAL MARKET, BY APPLICATION, 2023–2030 (USD MILLION)
                       TABLE 211 NORTH AMERICA: ENERGY & UTILITIES VERTICAL MARKET, BY APPLICATION, 2017–2022 (USD MILLION)
                       TABLE 212 NORTH AMERICA: ENERGY & UTILITIES VERTICAL MARKET, BY APPLICATION, 2023–2030 (USD MILLION)
                       TABLE 213 NORTH AMERICA: MANUFACTURING VERTICAL MARKET, BY APPLICATION, 2017–2022 (USD MILLION)
                       TABLE 214 NORTH AMERICA: MANUFACTURING VERTICAL MARKET, BY APPLICATION, 2023–2030 (USD MILLION)
                       TABLE 215 NORTH AMERICA: AGRICULTURE VERTICAL MARKET, BY APPLICATION, 2017–2022 (USD MILLION)
                       TABLE 216 NORTH AMERICA: AGRICULTURE VERTICAL MARKET, BY APPLICATION, 2023–2030 (USD MILLION)
                       TABLE 217 NORTH AMERICA: IT/ITES VERTICAL MARKET, BY APPLICATION, 2017–2022 (USD MILLION)
                       TABLE 218 NORTH AMERICA: IT/ITES VERTICAL MARKET, BY APPLICATION, 2023–2030 (USD MILLION)
                       TABLE 219 NORTH AMERICA: MEDIA & ENTERTAINMENT VERTICAL MARKET, BY APPLICATION, 2017–2022 (USD MILLION)
                       TABLE 220 NORTH AMERICA: MEDIA & ENTERTAINMENT VERTICAL MARKET, BY APPLICATION, 2023–2030 (USD MILLION)
                       TABLE 221 NORTH AMERICA: MARKET, BY COUNTRY, 2017–2022 (USD MILLION)
                       TABLE 222 NORTH AMERICA: MARKET, BY COUNTRY, 2023–2030 (USD MILLION)
             10.2.3 US
                       10.2.3.1 Growth initiatives by government and businesses
                                   TABLE 223 US: ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2017–2022 (USD MILLION)
                                   TABLE 224 US: MARKET, BY TECHNOLOGY, 2023–2030 (USD MILLION)
                                   TABLE 225 US: AI GROWTH STATISTICS, BY MACHINE LEARNING, 2017–2022 (USD MILLION)
                                   TABLE 226 US: MARKET, BY MACHINE LEARNING, 2023–2030 (USD MILLION)
                                   TABLE 227 US: MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
                                   TABLE 228 US: MARKET, BY VERTICAL, 2023–2030 (USD MILLION)
             10.2.4 CANADA
                       10.2.4.1 Rise in adoption of technologies for research and innovation
                                   TABLE 229 CANADA: MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
                                   TABLE 230 CANADA: MARKET, BY VERTICAL, 2023–2030 (USD MILLION)
     10.3 EUROPE 
             10.3.1 EUROPE: MARKET DRIVERS
             10.3.2 EUROPE: RECESSION IMPACT
                       TABLE 231 EUROPE: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2017–2022 (USD MILLION)
                       TABLE 232 EUROPE: MARKET, BY OFFERING, 2023–2030 (USD MILLION)
                       TABLE 233 EUROPE: MARKET, BY HARDWARE, 2017–2022 (USD MILLION)
                       TABLE 234 EUROPE: MARKET, BY HARDWARE, 2023–2030 (USD MILLION)
                       TABLE 235 EUROPE: MARKET, BY PROCESSOR, 2017–2022 (USD MILLION)
                       TABLE 236 EUROPE: AI GROWTH STATISTICS, BY PROCESSOR, 2023–2030 (USD MILLION)
                       TABLE 237 EUROPE: MARKET, BY SOFTWARE, 2017–2022 (USD MILLION)
                       TABLE 238 EUROPE: MARKET, BY SOFTWARE, 2023–2030 (USD MILLION)
                       TABLE 239 EUROPE: ARTIFICIAL INTELLIGENCE SOFTWARE MARKET, BY DEPLOYMENT, 2017–2022 (USD MILLION)
                       TABLE 240 EUROPE: ARTIFICIAL INTELLIGENCE SOFTWARE MARKET, BY DEPLOYMENT, 2023–2030 (USD MILLION)
                       TABLE 241 EUROPE: AI MARKET SHARE, BY SERVICE, 2017–2022 (USD MILLION)
                       TABLE 242 EUROPE: AI MARKET SIZE, BY SERVICE, 2023–2030 (USD MILLION)
                       TABLE 243 EUROPE: MARKET, BY PROFESSIONAL SERVICE, 2017–2022 (USD MILLION)
                       TABLE 244 EUROPE: AI MARKET, BY PROFESSIONAL SERVICE, 2023–2030 (USD MILLION)
                       TABLE 245 EUROPE: MARKET, BY TECHNOLOGY, 2017–2022 (USD MILLION)
                       TABLE 246 EUROPE: MARKET, BY TECHNOLOGY, 2023–2030 (USD MILLION)
                       TABLE 247 EUROPE: MARKET, BY MACHINE LEARNING, 2017–2022 (USD MILLION)
                       TABLE 248 EUROPE: AI INDUSTRY GROWTH, BY MACHINE LEARNING, 2023–2030 (USD MILLION)
                       TABLE 249 EUROPE: AI MARKET SHARE, BY NATURAL LANGUAGE PROCESSING, 2017–2022 (USD MILLION)
                       TABLE 250 EUROPE: AI MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, 2023–2030 (USD MILLION)
                       TABLE 251 EUROPE: MARKET, BY BUSINESS FUNCTION, 2017–2022 (USD MILLION)
                       TABLE 252 EUROPE: ARTIFICIAL INTELLIGENCE MARKET FORECAST, BY BUSINESS FUNCTION, 2023–2030 (USD MILLION)
                       TABLE 253 EUROPE: ARTIFICIAL INTELLIGENCE FORECAST, BY VERTICAL, 2017–2022 (USD MILLION)
                       TABLE 254 EUROPE: ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2023–2030 (USD MILLION)
                       TABLE 255 EUROPE: BFSI VERTICAL MARKET, BY APPLICATION, 2017–2022 (USD MILLION)
                       TABLE 256 EUROPE: BFSI VERTICAL MARKET, BY APPLICATION, 2023–2030 (USD MILLION)
                       TABLE 257 EUROPE: RETAIL & ECOMMERCE VERTICAL MARKET, BY APPLICATION, 2017–2022 (USD MILLION)
                       TABLE 258 EUROPE: RETAIL & ECOMMERCE VERTICAL MARKET, BY APPLICATION, 2023–2030 (USD MILLION)
                       TABLE 259 EUROPE: AUTOMOTIVE, TRANSPORTATION, AND LOGISTICS VERTICAL MARKET, BY APPLICATION, 2017–2022 (USD MILLION)
                       TABLE 260 EUROPE: AUTOMOTIVE, TRANSPORTATION, AND LOGISTICS VERTICAL MARKET, BY APPLICATION, 2023–2030 (USD MILLION)
                       TABLE 261 EUROPE: GOVERNMENT & DEFENSE VERTICAL MARKET, BY APPLICATION, 2017–2022 (USD MILLION)
                       TABLE 262 EUROPE: GOVERNMENT & DEFENSE VERTICAL MARKET, BY APPLICATION, 2023–2030 (USD MILLION)
                       TABLE 263 EUROPE: HEALTHCARE & LIFE SCIENCES VERTICAL MARKET, BY APPLICATION, 2017–2022 (USD MILLION)
                       TABLE 264 EUROPE: HEALTHCARE & LIFE SCIENCES VERTICAL MARKET, BY APPLICATION, 2023–2030 (USD MILLION)
                       TABLE 265 EUROPE: TELECOM VERTICAL MARKET, BY APPLICATION, 2017–2022 (USD MILLION)
                       TABLE 266 EUROPE: TELECOM VERTICAL MARKET, BY APPLICATION, 2023–2030 (USD MILLION)
                       TABLE 267 EUROPE: ENERGY & UTILITIES VERTICAL MARKET, BY APPLICATION, 2017–2022 (USD MILLION)
                       TABLE 268 EUROPE: ENERGY & UTILITIES VERTICAL MARKET, BY APPLICATION, 2023–2030 (USD MILLION)
                       TABLE 269 EUROPE: MANUFACTURING VERTICAL MARKET, BY APPLICATION, 2017–2022 (USD MILLION)
                       TABLE 270 EUROPE: MANUFACTURING VERTICAL MARKET, BY APPLICATION, 2023–2030 (USD MILLION)
                       TABLE 271 EUROPE: AGRICULTURE VERTICAL MARKET, BY APPLICATION, 2017–2022 (USD MILLION)
                       TABLE 272 EUROPE: AGRICULTURE VERTICAL MARKET, BY APPLICATION, 2023–2030 (USD MILLION)
                       TABLE 273 EUROPE: IT/ITES VERTICAL MARKET, BY APPLICATION, 2017–2022 (USD MILLION)
                       TABLE 274 EUROPE: IT/ITES VERTICAL MARKET, BY APPLICATION, 2023–2030 (USD MILLION)
                       TABLE 275 EUROPE: MEDIA & ENTERTAINMENT VERTICAL MARKET, BY APPLICATION, 2017–2022 (USD MILLION)
                       TABLE 276 EUROPE: MEDIA & ENTERTAINMENT VERTICAL MARKET, BY APPLICATION, 2023–2030 (USD MILLION)
                       TABLE 277 EUROPE: MARKET, BY COUNTRY/REGION, 2017–2022 (USD MILLION)
                       TABLE 278 EUROPE: MARKET, BY COUNTRY/REGION, 2023–2030 (USD MILLION)
             10.3.3 UK
                       10.3.3.1 Continuous investments and initiatives by government
                                   TABLE 279 UK: ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2017–2022 (USD MILLION)
                                   TABLE 280 UK: AI MARKET SHARE, BY TECHNOLOGY, 2023–2030 (USD MILLION)
                                   TABLE 281 UK: MARKET, BY MACHINE LEARNING, 2017–2022 (USD MILLION)
                                   TABLE 282 UK: MARKET, BY MACHINE LEARNING, 2023–2030 (USD MILLION)
                                   TABLE 283 UK: AI MARKET SIZE, BY VERTICAL, 2017–2022 (USD MILLION)
                                   TABLE 284 UK: MARKET, BY VERTICAL, 2023–2030 (USD MILLION)
             10.3.4 GERMANY
                       10.3.4.1 Increase in need to prioritize artificial intelligence governance aligning with regulatory frameworks
                                   TABLE 285 GERMANY: AI MARKET SHARE, BY VERTICAL, 2017–2022 (USD MILLION)
                                   TABLE 286 GERMANY: AI MARKET SIZE, BY VERTICAL, 2023–2030 (USD MILLION)
             10.3.5 FRANCE
                       10.3.5.1 Demand for improved efficiency and decision-making
                                   TABLE 287 FRANCE: ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
                                   TABLE 288 FRANCE: MARKET, BY VERTICAL, 2023–2030 (USD MILLION)
             10.3.6 ITALY
                       10.3.6.1 Adoption of sophisticated technologies with thriving startup ecosystem
                                   TABLE 289 ITALY: MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
                                   TABLE 290 ITALY: MARKET, BY VERTICAL, 2023–2030 (USD MILLION)
             10.3.7 SPAIN
                       10.3.7.1 Initiatives by government to promote widespread adoption of artificial intelligence
                                   TABLE 291 SPAIN: MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
                                   TABLE 292 SPAIN: MARKET, BY VERTICAL, 2023–2030 (USD MILLION)
             10.3.8 NORDIC
                       10.3.8.1 Venture capital investments with growing interest in development of artificial intelligence
             10.3.9 BALKANS
                       10.3.9.1 Collaboration among ai industry, academia, and government to adopt front-line technologies
               10.3.10 REST OF EUROPE
     10.4 ASIA PACIFIC 
             10.4.1 ASIA PACIFIC: MARKET DRIVERS
             10.4.2 ASIA PACIFIC: IMPACT OF RECESSION
                       FIGURE 54 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE MARKET SNAPSHOT
                       TABLE 293 ASIA PACIFIC: MARKET, BY OFFERING, 2017–2022 (USD MILLION)
                       TABLE 294 ASIA PACIFIC: MARKET, BY OFFERING, 2023–2030 (USD MILLION)
                       TABLE 295 ASIA PACIFIC: MARKET, BY HARDWARE, 2017–2022 (USD MILLION)
                       TABLE 296 ASIA PACIFIC: MARKET, BY HARDWARE, 2023–2030 (USD MILLION)
                       TABLE 297 ASIA PACIFIC: MARKET, BY PROCESSOR, 2017–2022 (USD MILLION)
                       TABLE 298 ASIA PACIFIC: MARKET, BY PROCESSOR, 2023–2030 (USD MILLION)
                       TABLE 299 ASIA PACIFIC: MARKET, BY SOFTWARE, 2017–2022 (USD MILLION)
                       TABLE 300 ASIA PACIFIC: MARKET, BY SOFTWARE, 2023–2030 (USD MILLION)
                       TABLE 301 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE MARKET, BY DEPLOYMENT, 2017–2022 (USD MILLION)
                       TABLE 302 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE MARKET, BY DEPLOYMENT, 2023–2030 (USD MILLION)
                       TABLE 303 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE MARKET, BY SERVICE, 2017–2022 (USD MILLION)
                       TABLE 304 ASIA PACIFIC: MARKET, BY SERVICE, 2023–2030 (USD MILLION)
                       TABLE 305 ASIA PACIFIC: MARKET, BY PROFESSIONAL SERVICE, 2017–2022 (USD MILLION)
                       TABLE 306 ASIA PACIFIC: MARKET, BY PROFESSIONAL SERVICE, 2023–2030 (USD MILLION)
                       TABLE 307 ASIA PACIFIC: MARKET, BY TECHNOLOGY, 2017–2022 (USD MILLION)
                       TABLE 308 ASIA PACIFIC: MARKET, BY TECHNOLOGY, 2023–2030 (USD MILLION)
                       TABLE 309 ASIA PACIFIC: MARKET, BY MACHINE LEARNING, 2017–2022 (USD MILLION)
                       TABLE 310 ASIA PACIFIC: MARKET, BY MACHINE LEARNING, 2023–2030 (USD MILLION)
                       TABLE 311 ASIA PACIFIC: AI MARKET, BY NATURAL LANGUAGE PROCESSING, 2017–2022 (USD MILLION)
                       TABLE 312 ASIA PACIFIC: MARKET, BY NATURAL LANGUAGE PROCESSING, 2023–2030 (USD MILLION)
                       TABLE 313 ASIA PACIFIC: AI INDUSTRY, BY BUSINESS FUNCTION, 2017–2022 (USD MILLION)
                       TABLE 314 ASIA PACIFIC: MARKET, BY BUSINESS FUNCTION, 2023–2030 (USD MILLION)
                       TABLE 315 ASIA PACIFIC: MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
                       TABLE 316 ASIA PACIFIC: AI MARKET, BY VERTICAL, 2023–2030 (USD MILLION)
                       TABLE 317 ASIA PACIFIC: MARKET, BY COUNTRY/REGION, 2017–2022 (USD MILLION)
                       TABLE 318 ASIA PACIFIC: MARKET, BY COUNTRY/REGION, 2023–2030 (USD MILLION)
             10.4.3 CHINA
                       10.4.3.1 Government initiatives and regulations in favor of AI development
                                   TABLE 319 CHINA: ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2017–2022 (USD MILLION)
                                   TABLE 320 CHINA: MARKET, BY TECHNOLOGY, 2023–2030 (USD MILLION)
                                   TABLE 321 CHINA: MARKET, BY MACHINE LEARNING, 2017–2022 (USD MILLION)
                                   TABLE 322 CHINA: MARKET, BY MACHINE LEARNING, 2023–2030 (USD MILLION)
                                   TABLE 323 CHINA: MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
                                   TABLE 324 CHINA: MARKET, BY VERTICAL, 2023–2030 (USD MILLION)
             10.4.4 JAPAN
                       10.4.4.1 Government initiatives and industry collaborations
                                   TABLE 325 JAPAN: MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
                                   TABLE 326 JAPAN: MARKET, BY VERTICAL, 2023–2030 (USD MILLION)
             10.4.5 SOUTH KOREA
                       10.4.5.1 Government investments in artificial intelligence infrastructure to enhance citizen services
                                   TABLE 327 SOUTH KOREA: ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
                                   TABLE 328 SOUTH KOREA: MARKET, BY VERTICAL, 2023–2030 (USD MILLION)
             10.4.6 INDIA
                       10.4.6.1 Exploring generative AI for innovation and industry transformation
                                   TABLE 329 INDIA: MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
                                   TABLE 330 INDIA: MARKET, BY VERTICAL, 2023–2030 (USD MILLION)
             10.4.7 AUSTRALIA & NEW ZEALAND
                       10.4.7.1 Business experiment with applications of generative AI
                                   TABLE 331 AUSTRALIA & NEW ZEALAND: MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
                                   TABLE 332 AUSTRALIA & NEW ZEALAND: MARKET, BY VERTICAL, 2023–2030 (USD MILLION)
             10.4.8 ASEAN
                       10.4.8.1 Progress in adopting artificial technology
                                   TABLE 333 ASEAN: MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
                                   TABLE 334 ASEAN: MARKET, BY VERTICAL, 2023–2030 (USD MILLION)
             10.4.9 REST OF ASIA PACIFIC
     10.5 MIDDLE EAST & AFRICA 
             10.5.1 MIDDLE EAST & AFRICA: MARKET DRIVERS
             10.5.2 MIDDLE EAST & AFRICA: IMPACT OF RECESSION
                       TABLE 335 MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2017–2022 (USD MILLION)
                       TABLE 336 MIDDLE EAST & AFRICA: MARKET, BY OFFERING, 2023–2030 (USD MILLION)
                       TABLE 337 MIDDLE EAST & AFRICA: MARKET, BY HARDWARE, 2017–2022 (USD MILLION)
                       TABLE 338 MIDDLE EAST & AFRICA: MARKET, BY HARDWARE, 2023–2030 (USD MILLION)
                       TABLE 339 MIDDLE EAST & AFRICA: MARKET, BY PROCESSOR, 2017–2022 (USD MILLION)
                       TABLE 340 MIDDLE EAST & AFRICA: MARKET, BY PROCESSOR, 2023–2030 (USD MILLION)
                       TABLE 341 MIDDLE EAST & AFRICA: MARKET, BY SOFTWARE, 2017–2022 (USD MILLION)
                       TABLE 342 MIDDLE EAST & AFRICA: MARKET, BY SOFTWARE, 2023–2030 (USD MILLION)
                       TABLE 343 MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE SOFTWARE MARKET, BY DEPLOYMENT, 2017–2022 (USD MILLION)
                       TABLE 344 MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE SOFTWARE MARKET, BY DEPLOYMENT, 2023–2030 (USD MILLION)
                       TABLE 345 MIDDLE EAST & AFRICA: MARKET, BY SERVICE, 2017–2022 (USD MILLION)
                       TABLE 346 MIDDLE EAST & AFRICA: MARKET, BY SERVICE, 2023–2030 (USD MILLION)
                       TABLE 347 MIDDLE EAST & AFRICA: MARKET, BY PROFESSIONAL SERVICE, 2017–2022 (USD MILLION)
                       TABLE 348 MIDDLE EAST & AFRICA: MARKET, BY PROFESSIONAL SERVICE, 2023–2030 (USD MILLION)
                       TABLE 349 MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2017–2022 (USD MILLION)
                       TABLE 350 MIDDLE EAST & AFRICA: MARKET, BY TECHNOLOGY, 2023–2030 (USD MILLION)
                       TABLE 351 MIDDLE EAST & AFRICA: MARKET, BY MACHINE LEARNING, 2017–2022 (USD MILLION)
                       TABLE 352 MIDDLE EAST & AFRICA: MARKET, BY MACHINE LEARNING, 2023–2030 (USD MILLION)
                       TABLE 353 MIDDLE EAST & AFRICA: MARKET, BY NATURAL LANGUAGE PROCESSING, 2017–2022 (USD MILLION)
                       TABLE 354 MIDDLE EAST & AFRICA: MARKET, BY NATURAL LANGUAGE PROCESSING, 2023–2030 (USD MILLION)
                       TABLE 355 MIDDLE EAST & AFRICA: MARKET, BY BUSINESS FUNCTION, 2017–2022 (USD MILLION)
                       TABLE 356 MIDDLE EAST & AFRICA: MARKET, BY BUSINESS FUNCTION, 2023–2030 (USD MILLION)
                       TABLE 357 MIDDLE EAST & AFRICA: MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
                       TABLE 358 MIDDLE EAST & AFRICA: MARKET, BY VERTICAL, 2023–2030 (USD MILLION)
                       TABLE 359 MIDDLE EAST & AFRICA: MARKET, BY COUNTRY, 2017–2022 (USD MILLION)
                       TABLE 360 MIDDLE EAST & AFRICA: MARKET, BY COUNTRY, 2023–2030 (USD MILLION)
             10.5.3 ISRAEL
                       10.5.3.1 Growth in application of artificial intelligence across various industry verticals
                                   TABLE 361 ISRAEL: ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2017–2022 (USD MILLION)
                                   TABLE 362 ISRAEL: MARKET, BY TECHNOLOGY, 2023–2030 (USD MILLION)
                                   TABLE 363 ISRAEL: MARKET, BY MACHINE LEARNING, 2017–2022 (USD MILLION)
                                   TABLE 364 ISRAEL: MARKET, BY MACHINE LEARNING, 2023–2030 (USD MILLION)
                                   TABLE 365 ISRAEL: AI MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
                                   TABLE 366 ISRAEL: MARKET, BY VERTICAL, 2023–2030 (USD MILLION)
             10.5.4 KINGDOM OF SAUDI ARABIA
                       10.5.4.1 Greater emphasis on artificial intelligence development across key industry verticals
                                   TABLE 367 KINGDOM OF SAUDI ARABIA: MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
                                   TABLE 368 KINGDOM OF SAUDI ARABIA: MARKET, BY VERTICAL, 2023–2030 (USD MILLION)
             10.5.5 UAE
                       10.5.5.1 Implementation of proactive strategies and establishing regulatory frameworks
                                   TABLE 369 UAE: ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
                                   TABLE 370 UAE: MARKET, BY VERTICAL, 2023–2030 (USD MILLION)
             10.5.6 EGYPT
                       10.5.6.1 Initiatives by government by collaborating with academia
                                   TABLE 371 EGYPT: MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
                                   TABLE 372 EGYPT: MARKET, BY VERTICAL, 2023–2030 (USD MILLION)
             10.5.7 TURKEY
                       10.5.7.1 Government fostering innovation to drive economic ai growth
                                   TABLE 373 TURKEY: MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
                                   TABLE 374 TURKEY: MARKET, BY VERTICAL, 2023–2030 (USD MILLION)
             10.5.8 SOUTH AFRICA
                       10.5.8.1 Rapid adoption of advanced ai technologies by businesses country-wide
                                   TABLE 375 SOUTH AFRICA: MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
                                   TABLE 376 SOUTH AFRICA: MARKET, BY VERTICAL, 2023–2030 (USD MILLION)
             10.5.9 REST OF THE MIDDLE EAST & AFRICA
     10.6 LATIN AMERICA 
             10.6.1 LATIN AMERICA: MARKET DRIVERS
             10.6.2 LATIN AMERICA: IMPACT OF RECESSION
                       TABLE 377 LATIN AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2017–2022 (USD MILLION)
                       TABLE 378 LATIN AMERICA: AI INDUSTRY GROWTH, BY OFFERING, 2023–2030 (USD MILLION)
                       TABLE 379 LATIN AMERICA: MARKET, BY HARDWARE, 2017–2022 (USD MILLION)
                       TABLE 380 LATIN AMERICA: MARKET, BY HARDWARE, 2023–2030 (USD MILLION)
                       TABLE 381 LATIN AMERICA: MARKET, BY PROCESSOR, 2017–2022 (USD MILLION)
                       TABLE 382 LATIN AMERICA: AI INDUSTRY GROWTH, BY PROCESSOR, 2023–2030 (USD MILLION)
                       TABLE 383 LATIN AMERICA: MARKET, BY SOFTWARE, 2017–2022 (USD MILLION)
                       TABLE 384 LATIN AMERICA: MARKET, BY SOFTWARE, 2023–2030 (USD MILLION)
                       TABLE 385 LATIN AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY DEPLOYMENT, 2017–2022 (USD MILLION)
                       TABLE 386 LATIN AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY DEPLOYMENT, 2023–2030 (USD MILLION)
                       TABLE 387 LATIN AMERICA: MARKET, BY SERVICE, 2017–2022 (USD MILLION)
                       TABLE 388 LATIN AMERICA: MARKET, BY SERVICE, 2023–2030 (USD MILLION)
                       TABLE 389 LATIN AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY PROFESSIONAL SERVICE, 2017–2022 (USD MILLION)
                       TABLE 390 LATIN AMERICA: MARKET, BY PROFESSIONAL SERVICE, 2023–2030 (USD MILLION)
                       TABLE 391 LATIN AMERICA: MARKET, BY TECHNOLOGY, 2017–2022 (USD MILLION)
                       TABLE 392 LATIN AMERICA: MARKET, BY TECHNOLOGY, 2023–2030 (USD MILLION)
                       TABLE 393 LATIN AMERICA: MARKET, BY MACHINE LEARNING, 2017–2022 (USD MILLION)
                       TABLE 394 LATIN AMERICA: MARKET, BY MACHINE LEARNING, 2023–2030 (USD MILLION)
                       TABLE 395 LATIN AMERICA: AI INDUSTRY GROWTH, BY NATURAL LANGUAGE PROCESSING, 2017–2022 (USD MILLION)
                       TABLE 396 LATIN AMERICA: MARKET, BY NATURAL LANGUAGE PROCESSING, 2023–2030 (USD MILLION)
                       TABLE 397 LATIN AMERICA: MARKET, BY BUSINESS FUNCTION, 2017–2022 (USD MILLION)
                       TABLE 398 LATIN AMERICA: MARKET, BY BUSINESS FUNCTION, 2023–2030 (USD MILLION)
                       TABLE 399 LATIN AMERICA: AI INDUSTRY GROWTH, BY VERTICAL, 2017–2022 (USD MILLION)
                       TABLE 400 LATIN AMERICA: MARKET, BY VERTICAL, 2023–2030 (USD MILLION)
                       TABLE 401 LATIN AMERICA: MARKET, BY COUNTRY/REGION, 2017–2022 (USD MILLION)
                       TABLE 402 LATIN AMERICA: MARKET, BY COUNTRY/REGION, 2023–2030 (USD MILLION)
             10.6.3 BRAZIL
                       10.6.3.1 Rise in requirement to balance ethical use of technology
                                   TABLE 403 BRAZIL: ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2017–2022 (USD MILLION)
                                   TABLE 404 BRAZIL: AI INDUSTRY GROWTH, BY TECHNOLOGY, 2023–2030 (USD MILLION)
                                   TABLE 405 BRAZIL: MARKET, BY MACHINE LEARNING, 2017–2022 (USD MILLION)
                                   TABLE 406 BRAZIL: MARKET, BY MACHINE LEARNING, 2023–2030 (USD MILLION)
                                   TABLE 407 BRAZIL: MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
                                   TABLE 408 BRAZIL: AI INDUSTRY GROWTH, BY VERTICAL, 2023–2030 (USD MILLION)
             10.6.4 MEXICO
                       10.6.4.1 Endeavoring to become digitally advanced country
                                   TABLE 409 MEXICO: ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
                                   TABLE 410 MEXICO: MARKET, BY VERTICAL, 2023–2030 (USD MILLION)
             10.6.5 ARGENTINA
                       10.6.5.1 Adoption of artificial intelligence to enhance processes and improve decision-making
                                   TABLE 411 ARGENTINA: MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
                                   TABLE 412 ARGENTINA: MARKET, BY VERTICAL, 2023–2030 (USD MILLION)
             10.6.6 CENTRAL AMERICA
                       10.6.6.1 Rise in application of artificial intelligence to promote research and innovation
                                   TABLE 413 CENTRAL AMERICA: AI INDUSTRY GROWTH, BY VERTICAL, 2017–2022 (USD MILLION)
                                   TABLE 414 CENTRAL AMERICA: MARKET, BY VERTICAL, 2023–2030 (USD MILLION)
             10.6.7 REST OF LATIN AMERICA
 
11 COMPETITIVE LANDSCAPE (Page No. - 420)
     11.1 OVERVIEW 
     11.2 KEY PLAYER STRATEGIES 
               TABLE 415 OVERVIEW OF STRATEGIES ADOPTED BY KEY VENDORS
     11.3 REVENUE ANALYSIS 
             11.3.1 HISTORICAL REVENUE ANALYSIS
                       FIGURE 55 HISTORICAL REVENUE ANALYSIS OF TOP PLAYERS, 2020–2022 (USD MILLION)
     11.4 MARKET SHARE ANALYSIS 
               FIGURE 56 ARTIFICIAL INTELLIGENCE MARKET SHARE ANALYSIS FOR KEY COMPANIES, 2022
               TABLE 416 MARKET: DEGREE OF COMPETITION
     11.5 COMPANY EVALUATION QUADRANT 
             11.5.1 STARS
             11.5.2 EMERGING LEADERS
             11.5.3 PERVASIVE PLAYERS
             11.5.4 PARTICIPANTS
                       FIGURE 57 KEY MARKET PLAYERS, COMPANY EVALUATION QUADRANT, 2022
             11.5.5 COMPETITIVE BENCHMARKING
                       TABLE 417 MARKET: PRODUCT FOOTPRINT ANALYSIS OF KEY PLAYERS, 2022
     11.6 STARTUP/SME EVALUATION MATRIX 
             11.6.1 PROGRESSIVE COMPANIES
             11.6.2 RESPONSIVE COMPANIES
             11.6.3 DYNAMIC COMPANIES
             11.6.4 STARTING BLOCKS
                       FIGURE 58 STARTUPS/SMES ARTIFICIAL INTELLIGENCE MARKET PLAYERS, COMPANY EVALUATION QUADRANT, 2022
             11.6.5 STARTUPS/SMES COMPETITIVE BENCHMARKING
                       TABLE 418 MARKET: DETAILED LIST OF KEY STARTUPS/SMES
                       TABLE 419 ARTIFICIAL INTELLIGENCE MARKET: PRODUCT FOOTPRINT ANALYSIS OF STARTUPS/SME PLAYERS, 2023
     11.7 ARTIFICIAL INTELLIGENCE MARKET PRODUCT LANDSCAPE 
               TABLE 420 COMPARATIVE ANALYSIS OF HARDWARE PRODUCTS
               TABLE 421 COMPARATIVE ANALYSIS OF SOFTWARE PRODUCTS
     11.8 COMPETITIVE SCENARIO AND TRENDS 
             11.8.1 PRODUCT LAUNCHES
                       TABLE 422 PRODUCT LAUNCHES AND ENHANCEMENTS, 2019–2023
             11.8.2 DEALS
                       TABLE 423 DEALS, 2019–2023
     11.9 VALUATION AND FINANCIAL METRICS OF KEY ARTIFICIAL INTELLIGENCE MARKET VENDORS 
               FIGURE 59 VALUATION AND FINANCIAL METRICS OF KEY VENDORS, 2023
     11.10 YEAR-TO-DATE (YTD) PRICE TOTAL RETURN AND STOCK BETA OF KEY ARTIFICIAL INTELLIGENCE VENDORS 
               FIGURE 60 YEAR-TO-DATE (YTD) PRICE TOTAL RETURN AND STOCK BETA OF KEY VENDORS
 
12 COMPANY PROFILES (Page No. - 441)
(Business Overview, Products/Solutions/Services offered, Recent Developments, MnM view, Key strengths, Strategic choices made, Weakness and competitive threats) *
     12.1 INTRODUCTION 
     12.2 MAJOR PLAYERS 
             12.2.1 GOOGLE
                       TABLE 424 GOOGLE: BUSINESS OVERVIEW
                       FIGURE 61 GOOGLE: COMPANY SNAPSHOT
                       TABLE 425 GOOGLE: PRODUCTS OFFERED
                       TABLE 426 GOOGLE: SERVICES OFFERED
                       TABLE 427 GOOGLE: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 428 GOOGLE: DEALS
                       TABLE 429 GOOGLE: OTHERS
             12.2.2 MICROSOFT
                       TABLE 430 MICROSOFT: BUSINESS OVERVIEW
                       FIGURE 62 MICROSOFT: COMPANY SNAPSHOT
                       TABLE 431 MICROSOFT: PRODUCTS OFFERED
                       TABLE 432 MICROSOFT: SERVICES OFFERED
                       TABLE 433 MICROSOFT: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 434 MICROSOFT: DEALS
             12.2.3 IBM
                       TABLE 435 IBM: BUSINESS OVERVIEW
                       FIGURE 63 IBM: COMPANY SNAPSHOT
                       TABLE 436 IBM: PRODUCTS OFFERED
                       TABLE 437 IBM: SERVICES OFFERED
                       TABLE 438 IBM: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 439 IBM: DEALS
             12.2.4 ORACLE
                       TABLE 440 ORACLE: BUSINESS OVERVIEW
                       FIGURE 64 ORACLE: COMPANY SNAPSHOT
                       TABLE 441 ORACLE: PRODUCTS OFFERED
                       TABLE 442 ORACLE: SERVICES OFFERED
                       TABLE 443 ORACLE: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 444 ORACLE: DEALS
             12.2.5 AWS
                       TABLE 445 AWS: BUSINESS OVERVIEW
                       FIGURE 65 AWS: COMPANY SNAPSHOT
                       TABLE 446 AWS: PRODUCTS OFFERED
                       TABLE 447 AWS: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 448 AWS: DEALS
                       TABLE 449 AWS: OTHERS
             12.2.6 INTEL
                       TABLE 450 INTEL: BUSINESS OVERVIEW
                       FIGURE 66 INTEL: COMPANY SNAPSHOT
                       TABLE 451 INTEL: PRODUCTS OFFERED
                       TABLE 452 INTEL: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 453 INTEL: DEALS
             12.2.7 SALESFORCE
                       TABLE 454 SALESFORCE: BUSINESS OVERVIEW
                       FIGURE 67 SALESFORCE: COMPANY SNAPSHOT
                       TABLE 455 SALESFORCE: PRODUCTS OFFERED
                       TABLE 456 SALESFORCE: SERVICES OFFERED
                       TABLE 457 SALESFORCE: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 458 SALESFORCE: DEALS
             12.2.8 SAP
                       TABLE 459 SAP: BUSINESS OVERVIEW
                       FIGURE 68 SAP: COMPANY SNAPSHOT
                       TABLE 460 SAP: PRODUCTS OFFERED
                       TABLE 461 SAP: SERVICES OFFERED
                       TABLE 462 SAP: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 463 SAP: DEALS
             12.2.9 CISCO
                       TABLE 464 CISCO: BUSINESS OVERVIEW
                       FIGURE 69 CISCO: COMPANY SNAPSHOT
                       TABLE 465 CISCO: PRODUCTS OFFERED
                       TABLE 466 CISCO: SERVICES OFFERED
                       TABLE 467 CISCO: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 468 CISCO: DEALS
             12.2.10 META
                       TABLE 469 META: BUSINESS OVERVIEW
                       FIGURE 70 META: COMPANY SNAPSHOT
                       TABLE 470 META: PRODUCTS OFFERED
                       TABLE 471 META: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 472 META: DEALS
             12.2.11 HPE
                       TABLE 473 HPE: BUSINESS OVERVIEW
                       FIGURE 71 HPE: COMPANY SNAPSHOT
                       TABLE 474 HPE: PRODUCTS OFFERED
                       TABLE 475 HPE: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 476 HPE: DEALS
             12.2.12 SIEMENS
                       TABLE 477 SIEMENS: BUSINESS OVERVIEW
                       FIGURE 72 SIEMENS: COMPANY SNAPSHOT
                       TABLE 478 SIEMENS: PRODUCTS OFFERED
                       TABLE 479 SIEMENS: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 480 SIEMENS: DEALS
             12.2.13 NVIDIA
                       TABLE 481 NVIDIA: BUSINESS OVERVIEW
                       FIGURE 73 NVIDIA: COMPANY SNAPSHOT
                       TABLE 482 NVIDIA: PRODUCTS OFFERED
                       TABLE 483 NVIDIA: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 484 NVIDIA: DEALS
             12.2.14 BAIDU
                       TABLE 485 BAIDU: BUSINESS OVERVIEW
                       FIGURE 74 BAIDU: COMPANY SNAPSHOT
                       TABLE 486 BAIDU: PRODUCTS OFFERED
                       TABLE 487 BAIDU: SERVICES OFFERED
                       TABLE 488 BAIDU: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 489 BAIDU: DEALS
             12.2.15 SAS INSTITUTE
                       TABLE 490 SAS INSTITUTE: BUSINESS OVERVIEW
                       TABLE 491 SAS INSTITUTE: PRODUCTS OFFERED
                       TABLE 492 SAS INSTITUTE: SERVICES OFFERED
                       TABLE 493 SAS INSTITUTE: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 494 SAS INSTITUTE: DEALS
             12.2.16 OPENAI
                       TABLE 495 OPENAI: BUSINESS OVERVIEW
                       TABLE 496 OPENAI: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 497 OPENAI: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 498 OPENAI: DEALS
             12.2.17 H20.AI
                       TABLE 499 H2O.AI: BUSINESS OVERVIEW
                       TABLE 500 H2O.AI: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 501 PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 502 H2O.AI: DEALS
             12.2.18 IFLYTEK
                       TABLE 503 IFLYTEK: BUSINESS OVERVIEW
                       TABLE 504 IFLYTEK: PRODUCTS OFFERED
                       TABLE 505 IFLYTEK: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 506 IFLYTEK: DEALS
             12.2.19 HUAWEI
                       TABLE 507 HUAWEI: BUSINESS OVERVIEW
                       TABLE 508 HUAWEI: PRODUCTS OFFERED
                       TABLE 509 HUAWEI: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 510 HUAWEI: DEALS
             12.2.20 ALIBABA CLOUD
                       TABLE 511 ALIBABA CLOUD: BUSINESS OVERVIEW
                       TABLE 512 ALIBABA CLOUD: PRODUCTS OFFERED
                       TABLE 513 ALIBABA CLOUD: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 514 ALIBABA CLOUD: DEALS
*Details on Business Overview, Products/Solutions/Services offered, Recent Developments, MnM view, Key strengths, Strategic choices made, Weakness and competitive threats might not be captured in case of unlisted companies.
     12.3 OTHER KEY PLAYERS 
             12.3.1 GENERAL VISION
             12.3.2 DARKTRACE
             12.3.3 BLACKBERRY LIMITED
             12.3.4 DIDI GLOBAL
             12.3.5 FACE++
             12.3.6 INBENTA
             12.3.7 ANJU SOFTWARE
             12.3.8 BUTTERFLY NETWORK
             12.3.9 ATOMWISE
             12.3.10 AIBRAIN
             12.3.11 SK HYNIX
             12.3.12 PROGRESS
             12.3.13 PRECISIONHAWK
             12.3.14 AGEAGLE AERIAL SYSTEM
             12.3.15 NEURALA
             12.3.16 TWITTER
             12.3.17 AUREA SOFTWARE
             12.3.18 PERSADO
             12.3.19 8X8
             12.3.20 APPIER
             12.3.21 GUMGUM
             12.3.22 IPRO
             12.3.23 GRAPHCORE
             12.3.24 PREFERRED NETWORKS
             12.3.25 APPLIED BRAIN RESEARCH
             12.3.26 PILOT AI
             12.3.27 IRIS AUTOMATION
             12.3.28 GAMAYA
             12.3.29 EC2CE
             12.3.30 DESCARTES LABS
             12.3.31 MYTHIC
             12.3.32 ADA
             12.3.33 MOSTLY AI
             12.3.34 SENTIENT.IO
             12.3.35 LUMEN5
             12.3.36 AERA TECHNOLOGY
     12.4 STARTUPS 
             12.4.1 AI SUPERIOR
             12.4.2 FOSFOR
             12.4.3 INTRINSIC
             12.4.4 JASPER
             12.4.5 SOUNDFUL
             12.4.6 WRITESONIC
             12.4.7 ONE AI
 
13 ADJACENT AND RELATED MARKETS (Page No. - 600)
     13.1 ADJACENT AND RELATED MARKETS 
             13.1.1 INTRODUCTION
             13.1.2 GENERATIVE AI MARKET - GLOBAL FORECAST TO 2028
                       13.1.2.1 Market definition
                       13.1.2.2 Market overview
                                   TABLE 515 GENERATIVE AI MARKET SIZE AND GROWTH RATE, 2019–2022 (USD MILLION, Y-O-Y)
                                   TABLE 516 GENERATIVE AI MARKET SIZE AND GROWTH RATE, 2023–2028 (USD MILLION, Y-O-Y)
                                   13.1.2.2.1 Generative AI market, by offering
                                   TABLE 517 GENERATIVE AI MARKET, BY OFFERING, 2019–2022 (USD MILLION)
                                   TABLE 518 GENERATIVE AI MARKET, BY OFFERING, 2023–2028 (USD MILLION)
                                   13.1.2.2.2 Generative AI market, by application
                                   TABLE 519 GENERATIVE AI MARKET, BY APPLICATION, 2019–2022 (USD MILLION)
                                   TABLE 520 GENERATIVE AI MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
                                   13.1.2.2.3 Generative AI market, by vertical
                                   TABLE 521 GENERATIVE AI MARKET, BY VERTICAL, 2019–2022 (USD MILLION)
                                   TABLE 522 GENERATIVE AI MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
                                   13.1.2.2.4 Generative AI market, by region
                                   TABLE 523 GENERATIVE AI MARKET, BY REGION, 2019–2022 (USD MILLION)
                                   TABLE 524 GENERATIVE AI MARKET, BY REGION, 2023–2028 (USD MILLION)
             13.1.3 CONVERSATIONAL AI MARKET - GLOBAL FORECAST TO 2028
                       13.1.3.1 Market definition
                       13.1.3.2 Market overview
                                   13.1.3.2.1 Conversational AI market, by offerings
                                   TABLE 525 CONVERSATIONAL AI MARKET, BY OFFERING, 2018–2022 (USD MILLION)
                                   TABLE 526 CONVERSATIONAL AI MARKET BY OFFERING, 2023–2028 (USD MILLION)
                                   13.1.3.2.2 Conversational AI market, by business function
                                   TABLE 527 CONVERSATIONAL AI MARKET, BY BUSINESS FUNCTION, 2018–2022 (USD MILLION)
                                   TABLE 528 CONVERSATIONAL AI MARKET, BY BUSINESS FUNCTION, 2023–2028 (USD MILLION)
                                   13.1.3.2.3 Conversational AI market, By channel
                                   TABLE 529 CONVERSATIONAL AI MARKET, BY CHANNEL, 2018–2022 (USD MILLION)
                                   TABLE 530 CONVERSATIONAL AI MARKET, BY CHANNEL, 2023–2028 (USD MILLION)
                                   13.1.3.2.4 Conversational AI market, by conversational interface
                                   TABLE 531 CONVERSATIONAL AI MARKET, BY CONVERSATIONAL INTERFACE, 2018–2022 (USD MILLION)
                                   TABLE 532 CONVERSATIONAL AI MARKET, BY CONVERSATIONAL INTERFACE, 2023–2028 (USD MILLION)
                                   13.1.3.2.5 Conversational AI market, by technology
                                   TABLE 533 CONVERSATIONAL AI MARKET, BY TECHNOLOGY, 2018–2022 (USD MILLION)
                                   TABLE 534 CONVERSATIONAL AI MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION)
                                   13.1.3.2.6 Conversational AI market, by vertical
                                   TABLE 535 CONVERSATIONAL AI MARKET, BY VERTICAL, 2018–2022 (USD MILLION)
                                   TABLE 536 CONVERSATIONAL AI MARKET BY VERTICAL, 2023–2028 (USD MILLION)
                                   13.1.3.2.7 Conversational AI market, by region
                                   TABLE 537 CONVERSATIONAL AI MARKET, BY REGION, 2018–2022 (USD MILLION)
                                   TABLE 538 CONVERSATIONAL AI MARKET, BY REGION, 2023–2028 (USD MILLION)
 
14 APPENDIX (Page No. - 614)
     14.1 DISCUSSION GUIDE 
     14.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 
     14.3 CUSTOMIZATION OPTIONS 
     14.4 RELATED REPORTS 
     14.5 AUTHOR DETAILS 

 

The research study for the artificial intelligence market involved the use of extensive secondary sources and directories, as well as various reputed open-source databases, to identify and collect information useful for this technical and market-oriented study. In-depth interviews were conducted with various primary respondents, including key opinion leaders, subject matter experts, high-level executives of multiple companies providing artificial intelligence offering, and industry consultants to obtain and verify critical qualitative and quantitative information and assess the market prospects and ai industry trends.

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 Data Science Journal, Institute of Electrical and Electronics Engineers (IEEE) Journals and magazines, and Journal/forums for ML, AI India magazine, Customer Experience magazine, and other magazines. The artificial intelligence industry spending of various countries was extracted from respective sources. Secondary research was mainly used to obtain key information about the industry’s value chain and supply chain to identify key players based on solutions, services, and market classification and segmentation according to offerings of major players, industry trends related to solutions, services, deployment modes, applications, verticals, ai industry growth and region, and key developments from both market and technology-oriented perspectives.

Primary Research

In the primary research process, various primary sources from 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 product development/innovation teams, related key executives from AI solution vendors, SIs, professional service providers, and industry associations, and key opinion leaders.

Primary interviews were conducted to gather insights, such as ai growth statistics, revenue data collected from solutions and services, market breakups, market size estimations, market forecasts, and data triangulation. Primary research also helped understand various technology trends, 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 following is the breakup of primary profiles:

Artificial Intelligence (AI) Market  Size, and Share

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Market Size Estimation

Artificial Intelligence (AI) Market  Size, and Share

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Top-down and bottom-up approaches were adopted for estimating and forecasting the artificial intelligence market. In the top-down approach, an exhaustive list of all the vendors offering hardware, software, 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 on the basis of breadth of solutions and services, deployment modes, applications, 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.

In the bottom-up approach, the adoption rate of artificial intelligence solutions among different end-users in key countries with respect to their regions that contribute the most to the ai market share was identified. For cross-validation, the adoption of artificial intelligence 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.

All the possible parameters that affect the ai industry covered in the research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data. The data is consolidated and added with detailed inputs and analysis from MarketsandMarkets.

  • The pricing trend is assumed to vary over time.
  • All the artificial intelligence forecasts are made with the standard assumption that the accepted currency is USD.
  • For the conversion of various currencies to USD, average historical exchange rates are used according to the year specified. For all the historical and current exchange rates required for calculations and currency conversions, the US Internal Revenue Service’s website is used.
  • All the forecasts are made under the standard assumption that the globally accepted currency, USD, remains constant during the next five years.
  • Vendor-side analysis: The market size estimates of associated solutions and services are factored in from the vendor side by assuming an average of licensing and subscription-based models of leading and innovative vendors.
  • Demand/end-user analysis: End users operating in verticals across regions are analyzed in terms of market spending on AI solutions based on some of the key use cases. These factors for the AI tool industry per region are separately analyzed, and the average spending was extrapolated with an approximation based on assumed weightage. This factor is derived by averaging various market influencers, including recent developments, regulations, mergers and acquisitions, enterprise/SME adoption, startup ecosystem, IT spending, technology propensity and maturity, use cases, and the estimated number of organizations per region.

Data Triangulation

After arriving at the overall ai 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 ai 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.

What is AI? - Market Definition

According to IBM, Artificial Intelligence (AI) refers to the ability of a computer or machine to mimic the capabilities of the human mind, such as learning from examples and experience, recognizing objects, understanding, and responding to language, making decisions, solving problems, and performing tasks that humans typically do, such as greeting a hotel guest or driving a car.

Key Stakeholders

  • AI solution providers
  • Independent Software Vendors (ISVs)
  • Investors and Venture Capitalists (VCs)
  • Managed service providers
  • Support and maintenance service providers
  • System Integrators (SIs)/migration service providers
  • Value-Added Resellers (VARs) and distributors

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 opportunities in the market and provide details of the competitive landscape for stakeholders and market leaders.
  • To forecast the market size of segments with respect to five main regions: North America, Europe, Asia Pacific (APAC), Middle East & Africa (MEA), and Latin America
  • To profile key players and comprehensively analyze their ai market growth rankings and core competencies.
  • To analyze competitive developments, such as partnerships, new product launches, and mergers and acquisitions, in the Artificial Intelligence (AI) market
  • To analyze the impact of the recession in the Artificial Intelligence (AI) market

Available Customizations

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

Product Analysis

  • Product matrix provides a detailed comparison of the product portfolio of each company

Geographic Analysis

  • Further breakup of the North American AI market
  • Further breakup of the European AI market
  • Further breakup of the Asia Pacific AI market
  • Further breakup of the Latin American AI industry
  • Further breakup of the Middle Eastern and African AI market

Company Information

  • Detailed analysis and profiling of additional market players up to 5
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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Published ON
Jun, 2023
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