Artificial Intelligence (AI) Market by Technology (ML, NLP, Context-aware AI, Computer Vision), Software (Type (Discriminative AI, Generative AI), No-code AI, Low-code AI), Hardware (Accelerators, Processors, Memory, Networking) - Global Forecast to 2030
The worldwide Artificial Intelligence market size is projected to grow from USD 214.6 billion in 2024 to $1,339.1 billion in 2030, at a Compound Annual Growth Rate (CAGR) of 35.7% during the forecast period.
AI Market is driven by significant advancements in computational power and data availability, which enable more sophisticated AI algorithms and models. Governments worldwide, particularly in regions like Asia Pacific, are heavily investing in AI research and development, fostering a supportive environment for innovation. Additionally, the rapid digital transformation across various industries—such as healthcare, finance, manufacturing, and retail—demands AI solutions to enhance efficiency, decision-making, and customer experiences. Moreover, the competitive advantage offered by AI in automating processes and personalizing services compels businesses to integrate AI technologies, accelerating market adoption.
Technology Roadmap of Artificial Intelligence Market
The Artificial Intelligence market report covers the technology roadmap, with insights into the short-term and long-term developments.
-
Short-term (1-5 Years):
- Widespread adoption of transformer architectures, particularly in NLP tasks, leads to significant performance improvements.
- Federated learning techniques are increasingly implemented to enable collaborative model training across decentralized data sources while maintaining data privacy.
- Self-supervised learning approaches gain traction for unsupervised pre-training of AI models, improving model generalization and robustness.
- AI models with meta-learning capabilities emerge, enabling rapid adaptation to new tasks and environments with minimal training data.
- AI applications in personalized healthcare expand, offering tailored diagnosis, treatment recommendations, and drug discovery.
-
Long-term (5+ years):
- Novel AI architectures integrating neuro-symbolic approaches, quantum computing, and biological-inspired models emerge, pushing AI capabilities beyond current boundaries.
- Advancements in explainable AI methods enhance model transparency and interpretability, fostering trust and accountability in AI decision-making.
- Hybrid AI systems combining symbolic reasoning with deep learning approaches are developed, offering robust and flexible AI solutions for complex tasks.
- Integration of AI with augmented reality (AR) and virtual reality (VR) technologies enables immersive and interactive AI experiences, revolutionizing human-computer interactions.
- AI integration in smart cities infrastructure optimizes urban planning, transportation systems, and resource management for sustainable and livable cities.
To know about the assumptions considered for the study, Request for Free Sample Report
To know about the assumptions considered for the study, download the pdf brochure
Artificial Intelligence Market Dynamics
Driver: Rise of deep learning and machine learning technologies
The rise of deep learning and machine learning technologies is acting as a potent catalyst for the burgeoning growth of the AI market. These cutting-edge techniques have revolutionized the way computers can process and analyze vast amounts of data, enabling them to identify intricate patterns, make predictions, and even mimic human-like decision-making processes. The rapid advancements in deep learning algorithms, combined with the increasing computational power and availability of big data, have paved the way for more sophisticated AI applications across various industries. From image and speech recognition to natural language processing and predictive analytics, deep learning and machine learning are empowering AI systems to tackle complex tasks with unprecedented accuracy and efficiency, thereby driving widespread adoption and fueling the exponential expansion of the AI market.
Restraint: High costs associated with training data preparation
High initial investments and implementation costs pose a significant restraint for the AI market, deterring some organizations from fully embracing AI technologies. The upfront expenses associated with developing or procuring AI solutions, infrastructure setup, data collection, and talent acquisition can be substantial, particularly for small and medium-sized enterprises. Studies indicate that more than 50% of executives cited cost as the primary obstacle to AI implementation in their organizations. The complexity of AI integration is also evident in the time required for deployment, with estimates indicating that it takes an average of 18 months for companies to move from AI pilot projects to full-scale implementation. These financial and operational challenges can hinder widespread adoption of AI solutions, particularly among organizations with limited budgets or risk aversion, thereby constraining the overall growth potential of the AI market.
Opportunity: Advancements in generative AI to open new avenues for AI-powered content creation
Advancements in generative AI are opening new avenues for AI-powered content generation, presenting a significant opportunity for the AI market. Technologies such as GPT-4 and DALL-E are capable of creating high-quality text, images, and even videos, revolutionizing industries like marketing, entertainment, and content creation. Industry experts estimate that by 2025, 10% of all data produced will be generated by AI, a testament to the growing impact of generative AI technologies. These advancements enable businesses to produce personalized content at scale, enhancing customer engagement and reducing production costs. Enterprises are banking on the potential of generative AI to drive innovation and efficiency, creating new business models, and transforming industries through enhanced content creation capabilities.
Challenge:Concerns related to bias and inaccurately generated output
Concerns related to bias and inaccurately generated outputs pose a significant challenge for the AI market, as these issues can undermine the reliability and fairness of AI applications. Bias in AI systems can lead to discriminatory outcomes, which is a growing concern for both regulators and the public. Surverys have revealed that over 70% of CEOs are concerned about AI delivering biased outcomes, while 40% of consumers distrust AI due to perceived biases and inaccuracies. Inaccurately generated outputs, particularly from generative AI models, can spread misinformation and erode trust in AI technologies. Addressing these challenges is critical for the AI market's growth, requiring robust ethical standards, transparent algorithms, and ongoing efforts to mitigate biases.
Artificial Intelligence Market Ecosystem
By offering, software segment to account for the largest market share in 2024
Software segment is set to become the largest market segment in the AI market by revenue in 2024 due to its fundamental role in enabling diverse AI applications across industries. This segment includes both discriminative AI, which excels in tasks like classification and prediction, and generative AI, known for creating new content and simulating scenarios. These capabilities are crucial for industries such as finance, healthcare, and marketing, where AI-driven software solutions enhance efficiency, decision-making, and customer engagement. As companies seek to enhance efficiency, improve decision-making, and foster innovation, the demand for versatile and scalable AI software solutions is increasing. The flexibility of AI software to adapt to various use cases and industries positions it as a critical driver of AI adoption, underpinning the development and deployment of AI technologies on a wide scale.
By technology, context-aware AI is slated to register the highest growth rate during the forecast period.
Context-aware AI is expected to become the fastest growing market segment between 2024 and 2030 due to its capability to deliver highly personalized and adaptive user experiences by comprehending situational context. This advanced AI leverages data such as user behavior, environmental conditions, and temporal information to enhance the relevance and effectiveness of applications across various sectors. For instance, in healthcare, context-aware AI can improve patient monitoring and diagnostics by adapting to individual health patterns and environmental factors. In the automotive industry, it enhances safety and driving experience by responding to real-time road and driver conditions. According to a report by the World Economic Forum, 79% of executives believe that AI and machine learning will revolutionize their industries by 2025, with context-aware AI playing a pivotal role in this transformation. This growing recognition of the benefits of context-aware systems is driving accelerated investment and innovation, making it a key growth area in the AI market.
By business function, marketing & sales segment will hold the largest market share in 2024.
The marketing & sales business function is estimated to hold the largest market share in 2024 due to the significant impact AI technologies have on optimizing customer engagement, targeting, and conversion strategies. AI-powered tools such as predictive analytics, customer segmentation, and personalized recommendation systems enable businesses to understand and anticipate customer needs more accurately. This leads to more effective marketing campaigns, higher customer satisfaction, and increased sales. Additionally, AI-driven automation in customer service and sales processes enhances efficiency and reduces operational costs. As companies increasingly prioritize data-driven decision-making to stay competitive, the demand for AI solutions in marketing and sales is surging, driving substantial investment and revenue growth in this segment.
By vertical, healthcare & life sciences industry is set to witness the fastest growth rate over the forecast period.
The healthcare and life sciences industry is poised to become the fastest-growing market segment in the AI market during the forecast period due to several key factors. Firstly, the increasing adoption of electronic health records (EHRs) and the digitization of medical data have created vast repositories of information ripe for AI-driven analysis and insights. AI technologies, such as machine learning and natural language processing, can extract valuable insights from these data sets, enabling more accurate diagnoses, personalized treatments, and predictive healthcare analytics. Secondly, the growing demand for telemedicine and remote patient monitoring solutions, accelerated by the COVID-19 pandemic, is driving the need for AI-powered tools that can enhance virtual care delivery and improve patient outcomes. Additionally, the rising prevalence of chronic diseases and the aging population are fueling the demand for innovative healthcare solutions that can optimize resource allocation, streamline workflows, and improve operational efficiency.
By region, Asia Pacific is set to experience the fastest growth rate during the forecast period.
Asia Pacific is set to emerge as the fastest-growing region in AI market, due to several key factors. Firstly, the region's robust economic growth, fueled by emerging markets such as China, India, and Southeast Asia, presents a fertile ground for AI adoption and investment. These countries are rapidly digitizing their economies and investing heavily in AI infrastructure to drive innovation and competitiveness across various sectors. For instance, in May 2023, the Chinese government unveiled plans to construct AI industrial hubs and tech platforms nationwide, with the aim of bolstering research and development efforts. Furthermore, on September 2022, the Shenzhen government passed China’s first local regulation exclusively dedicated to enhancing AI development. Known as the “Regulations on Promoting Artificial Intelligence Industry in Shenzhen Special Economic Zone” (the Shenzhen AI Regulation), this legislation aims to drive the growth of the AI industry by encouraging government organizations to embrace artificial intelligence technology as pioneers and by providing increased financial support for artificial intelligence research within China.
Furthermore, the generative AI boom is accelerating AI development and adoption in the APAC region. Japanese companies such as SoftBank and Hitachi are actively developing or integrating generative AI into their operations. In March 2023, Mitsui & Co., Ltd., one of Japan’s leading conglomerates, partnered with NVIDIA on an initiative called Tokyo-1. This collaboration aims to empower the nation’s pharmaceutical leaders through advanced technologies, including high-resolution molecular dynamics simulations and generative AI models for drug discovery. Also, according to the draft of the Integrated Innovation Strategy for 2023, the Japanese government is committed to promoting the adoption of generative AI and enhancing domestic capabilities for its development. Simultaneously, the government aims to address potential risks associated with generative AI, such as copyright infringement and the exposure of confidential information.
Top Companies in Artificial Intelligence Market
The artificial intelligence solution and service providers have implemented several types of organic and inorganic growth strategies, such as new product launches, product upgrades, partnerships, and agreements, business expansions, and mergers and acquisitions to strengthen their offerings in the market. Some major players in the artificial intelligence market include Microsoft (US), IBM (US), AWS (US), Google (US), Nvidia (US), along with SMEs and startups such as OpenAI (US), AI21 Labs (Israel), Mostly AI (Austria), Sentient.io (Canada) and Appier (Taiwan).
Want to explore hidden markets that can drive new revenue in Artificial Intelligence (AI) Market?
Scope of the Report
Want to explore hidden markets that can drive new revenue in Artificial Intelligence (AI) Market?
Report Metrics |
Details |
Market size available for years |
2019–2030 |
Base year considered |
2023 |
Forecast period |
2024–2030 |
Forecast units |
USD (Billion) |
Segments Covered |
Offering, Technology, Business Function, Vertical, and Region |
Geographies covered |
North America, Europe, Asia Pacific, Middle East & Africa, and Latin America |
Companies covered |
IBM (US), NVIDIA (US), OpenAI (US), Oracle (US), Meta (US), Microsoft (US), Google (US), AWS (US), Intel (US), Salesforce (US), SAP (Germany), Cisco (US), HPE (US), Siemens (Germany), Baidu (China), SAS Institute (US), AMD (US), Qualcomm (US), Huawei (China), Alibaba Cloud (China), C3 AI (US), HQE Systems (US), Dialpad (US), Anduril Industries (US), Adept (US), DeepL (Germany), Moveworks (US), Arrow AI (US), Anthropic (US), Observe.ai (US), Anyscale (US), Frame AI (US), Uizard (Denmark), Shield AI (US), Cohere (Canada), Writesonic (US), Arthur (US), Capacity (US), Spot AI (US), Inbenta (US), Glean (US), Jasper (US), Atomwise (US), H2O.AI (US), Inflection AI (US), Persado (US), Appier (Taiwan), Graphcore (UK), AI21 Labs (Israel), Scale AI (US), IRIS Automation (US), Gamaya (Switzerland), Synthesia (England), Mostly AI (Austria), Mythic (US), Character.ai (US), ADA (Canada), Sentient.io (Singapore), Lumen5 (Canada), Aera Technology (US), Metropolis (US), Cerebras (US), Hailo (Israel), Soundful (US), and One AI (Israel). |
This research report categorizes the artificial intelligence market based on offering, technology, business function, vertical, and region:
By Offering:
-
Hardware
- AI Accelerators
-
Processors
- Central Processing Units (CPU)
- Graphics Processing Units (GPU)
- Field Programmable Gate Arrays (FPGA)
- Other Processors
- Memory
- Networking Hardware
-
Software
-
Software, By Type
-
Discriminative AI
- Classification Algorithms
- Regression Algorithms
- Deep Learning Platforms
- Ensemble Methods
-
Generative AI
- Generative Adversarial Networks (Gans)
- Autoencoders
- Convolutional Neural Networks (Cnns)
-
Transformer Models
- Bidirectional Encoder Representations From Transformers (BERT)
- Generative Pre-trained Transformer 1 (GPT-1)
- Generative Pre-trained Transformer 2 (GPT-2)
- Generative Pre-trained Transformer 3 (GPT-3)
- Generative Pre-trained Transformer 4 (GPT-4)
- Language Model for Dialogue Applications (LaMDA)
- Other Transformer Models
-
Discriminative AI
-
Software, By Deployment Mode
- Cloud
- On-Premises
-
Software, By Coding Automation
- No-code AI
- Low-code AI
- Pro-code AI
-
Software, By Type
-
Services
-
Professional Services
- Training & Consulting Services
- System Integration & Deployment Services
- Support & Maintenance Services
- Managed Services
-
Professional Services
By Technology:
-
Machine Learning
- Supervised Learning
- Unsupervised Learning
- Reinforcement Learning
-
Natural Language Processing
-
Natural Language Understanding (NLU)
- Text Classification
- Named Entity Recognition (NER)
- Intent Recognition
- Relationship Extraction
- Others
-
Natural Language Generation (NLG)
- Text Summarization
- Machine Translation
- Language Modelling
- Dialogue Generation
-
Natural Language Understanding (NLU)
-
Computer Vision
- Object Detection
- Image Classification
- Semantic Segmentation
- Facial Recognition
- Others
-
Context-aware Artificial Intelligence (CAAI)
- Context-Aware Recommendation Systems
- Multi-Modal AI
- Context-Aware Virtual Assistants
By Business Function
-
Marketing & Sales
- Customer Segmentation
- Predictive Lead Scoring
- Personalized Recommendations
- Dynamic Pricing Optimization
- Churn Prediction
- Sentiment Analysis
- Marketing Attribution
- Others
-
Human Resources
- Candidate Screening
- Employee Retention Analysis
- Performance Management
- Workforce Planning & Forecasting
- Employee Feedback Analysis
- Skill Gap Analysis
- Diversity & Inclusion Analytics
- Others
-
Finance & Accounting
- Fraud Detection
- Financial Forecasting
- Expense Management
- Invoice Processing
- Credit Risk Assessment
- Regulatory Compliance
- Budgeting And Planning
- Others
-
Operations
- Predictive Maintenance
- Supply Chain Optimization
- AIOps
- IT Service Management
- Quality Control
- Route Optimization
- Cold Chain Monitoring
- Inventory Management
- Procurement Automation
- Equipment Failure Prediction
- Others
-
Cybersecurity
- Threat Detection & Response
- Anomaly Detection
- Vulnerability Assessment
- Identity & Access Management
- Security Automation & Orchestration
- Endpoint Protection
- Network Traffic Analysis
- Others
By Vertical
-
BFSI
- Fraud Detection & Prevention
- Risk Assessment & Management
- Algorithmic Trading
- Credit Scoring & Underwriting
- Customer Service Automation
- Personalized Financial Recommendations
- Investment Portfolio Management
- Regulatory Compliance Monitoring
- Others
-
Retail & E-Commerce
- Personalized Product Recommendation
- Customer Relationship Management
- Visual Search
- Virtual Customer Assistant
- Price Optimization
- Supply Chain Management & Demand Planning
- Virtual Stores
- Others
-
Automotive, Transportation & Logistics
- Semi-Autonomous & Autonomous Vehicles
- Route Optimization
- Intelligent Traffic Management
- Driver Assistance Systems
- Smart Logistics & Warehousing
- Supply Chain Visibility & Tracking
- Fleet Management
- Vehicle Diagnostics & Telematics
- Others
-
Government & Defense
- Surveillance & Situational Awareness
- Law Enforcement
- Intelligence Analysis & Data Processing
- Simulation & Training
- Command & Control
- Disaster Response & Recovery Assistance
- E-Governance & Digital City Services
- Others
-
Healthcare & Life Sciences
- Patient Data & Risk Analysis
- Lifestyle Management & Monitoring
- Precision Medicine
- Inpatient Care & Hospital Management
- Medical Imaging & Diagnostics
- Drug Discovery
- AI-Assisted Medical Services
- Medical Research
- Others
-
Telecommunications
- Network Optimization
- Network Security
- Customer Service & Support
- Network Planning & Optimization
- Network Analytics
- Intelligent Call Routing
- Network Fault Prediction
- Virtual Network Assistants
- Voice & Speech Recognition
- Others
-
Energy & Utilities
- Energy Demand Forecasting
- Grid Optimization & Management
- Energy Consumption Analytics
- Smart Metering & Energy Data Management
- Energy Storage Optimization
- Real-Time Energy Monitoring & Control
- Power Quality Monitoring & Management
- Energy Trading & Market Forecasting
- Intelligent Energy Management Systems
- Others
-
Manufacturing
- Material Movement Management
- Predictive Maintenance & Machinery Inspection
- Production Planning
- Recyclable Material Reclamation
- Quality Control
- Production Line Optimization
- Intelligent Inventory Management
- Others
-
Agriculture
- Crop Monitoring & Yield Prediction
- Precision Farming
- Soil Analysis & Nutrient Management
- Pest & Disease Detection
- Irrigation Optimization & Water Management
- Automated Harvesting & Sorting
- Weed Detection & Management
- Weather & Climate Monitoring
- Livestock Monitoring & Health Management
- Others
-
IT/ITeS
- Automated Code Generation & Optimization
- Automated IT Asset Management
- IT Ticketing & Support Automation
- Intelligent Data Backup & Recovery
- Automated Software Testing & Quality Assurance
- Others
-
Media & Entertainment
- Content Recommendation Systems
- Content Creation & Generation
- Content Copyright Protection
- Audience Analytics & Segmentation
- Personalized Advertising
- Others
- Other Verticals
By Region
-
North America
- United States
- Canada
-
Europe
- UK
- Germany
- France
- Italy
- Spain
- Nordic
- Benelux
- Rest of Europe
-
Asia Pacific
- China
- India
- Japan
- South Korea
- Australia and New Zealand (ANZ)
- ASEAN
- Rest of Asia Pacific
-
Middle East and Africa
- Saudi Arabia
- UAE
- South Africa
- Turkey
- Qatar
- Rest of Middle East and Africa
-
Latin America
- Brazil
- Mexico
- Argentina
- Chile
- Rest of Latin America
Recent Developments:
- In April 2024, Intel launched the Gaudi 3 accelerator, designed to advance AI performance and scalability. The Gaudi 3 features enhanced networking capabilities with 200 Gbps Ethernet connections, allowing it to scale up to clusters of 8,192 accelerators. This accelerator aims to boost Intel's AI strategy by providing robust solutions for training and inference workloads, achieving up to 1.7 times faster training speeds compared to competitive models?.
- In April 2024, Informatica joined hands with Google to develop an MDM Extension for Google Cloud BigQuery, facilitating rapid access to trusted customer data. The collaboration enables enterprise-grade GenAI applications leveraging IDMC, Google Vertex AI, BigQuery, and Gemini models for enhanced analytics and insights.
- In April 2024, Samsung struck a deal worth USD 3 billion with AMD to supply HBM3E memory chips for AMD’s AI chips, enhancing their performance. Samsung's chips, known for high bandwidth and capacity, will power AMD's MI350, competing with NVIDIA's offerings.
- In April 2024, Qualcomm introduced the Snapdragon X Plus, featuring the Qualcomm Oryon CPU for a reported 37% boost in CPU performance and 54% less power consumption. The CPU is tailor made for AI-driven applications with the Hexagon NPU, offering 45 TOPS for laptops, aiming to revolutionize mobile computing.
- In April 2024, Microsoft and The Coca-Cola Company entered a five-year strategic partnership to advance Coca-Cola's technology strategy, leveraging Microsoft Cloud and generative AI. The USD 1.1 billion commitment aims to drive innovation and productivity across Coca-Cola’s global operations.
- In April 2024, Arena and AMD collaborated to deploy Arena Atlas, an AI test & optimization product, enhancing GPU testing and optimization. Atlas autonomously identifies power and performance optimizations, accelerating product development and improving chip design.
- In March 2024, Salesforce launched the Einstein 1 Studio platform. Einstein 1 Studio empowers admins and developers with low-code AI tools to customize Einstein Copilot and embed AI across Salesforce apps. Deep integration with Salesforce Data Cloud also ensures rich insights leveraged from customer data.
- In March 2024, NVIDIA join forces with Microsoft to revolutionize healthcare and life sciences with cloud, AI, and accelerated computing. Leveraging Azure and NVIDIA technologies, the collaboration aims to accelerate drug discovery, enhance medical imaging diagnostics, and advance genomics analysis for improved patient care worldwide.
- In March 2024, IBM and Riyadh Air collaborated to transform air travel experiences, leveraging AI for augmenting customer experience throughout the travel. Riyadh Air aims to offer seamless, personalized journeys, utilizing IBM Consulting's expertise across channels and IBM Garage's collaborative model.
- In February 2024, OpenAI announced the introduction of Sora, a text-to-video generative AI model. Sora can generate videos for up to a minute long while maintaining visual quality and adherence to the user’s prompt. This model is not publicly available as of now and limited access has been granted to handful of red teamers, visual artists, designers, and filmmakers.
Frequently Asked Questions (FAQ):
What is emergence in artificial intelligence growth?
Artificial Intelligence (AI) refers to algorithms and computational models that enable machines to perform cognitive functions typically associated with human intelligence. These functions include, but are not limited to, natural language processing (NLP), machine learning (ML), computer vision, and decision-making. AI systems leverage advanced techniques such as deep learning, reinforcement learning, and probabilistic reasoning to process data, recognize patterns, and make autonomous decisions or provide predictive analytics. These systems are designed to improve over time through iterative training and adaptation, often utilizing large-scale data and high-performance computing infrastructure to optimize performance and accuracy.
How much is the AI industry worth during 2024-2030?
Artificial Intelligence (AI) Industry worth $1,339.1 billion by 2030.
How is the generative AI market shaping the broader artificial intelligence industry?
The generative AI market is profoundly shaping the broader artificial intelligence industry by driving advancements in machine learning, natural language processing, and creative applications. Technologies like OpenAI's recent GPT-4o have demonstrated significant progress, capable of producing coherent and contextually relevant text, which has spurred innovation across various sectors. The increasing capability and application of generative AI highlight its role as a catalyst for broader AI adoption, pushing the boundaries of what machines can autonomously create and enabling new business models and efficiencies across industries.
Which are the key drivers supporting the growth of the artificial intelligence market?
The key factors driving the growth of the artificial intelligence market include growth in adoption of autonomous artificial intelligence, rise of deep learning and machine learning technologies, and advancements in computing power and the availability of large databases.
Which are the top 3 verticals prevailing in the artificial intelligence market?
BFSI, healthcare & life sciences, and retail & eCommerce are the top three verticals in the AI market due to their vast data generation and the critical need for advanced analytics. BFSI utilizes AI for fraud detection, customer service, and risk management. Healthcare leverages AI for diagnostics, personalized treatment plans, and administrative efficiency. Retail benefits from AI through personalized marketing, inventory management, and customer insights, driving significant investments and innovations in these sectors.
Who are the key vendors in the artificial intelligence market?
Some major players in the AI market include IBM (US), NVIDIA (US), OpenAI (US), Oracle (US), Meta (US), Microsoft (US), Google (US), AWS (US), Intel (US), Salesforce (US), SAP (Germany), Cisco (US), HPE (US), Siemens (Germany), Baidu (China), SAS Institute (US), AMD (US), Qualcomm (US), Huawei (China), Alibaba Cloud (China), C3 AI (US), HQE Systems (US), Dialpad (US), Anduril Industries (US), Adept (US), DeepL (Germany), Moveworks (US), Arrow AI (US), Anthropic (US), Observe.ai (US), Anyscale (US), Frame AI (US), Uizard (Denmark), Shield AI (US), Cohere (Canada), Writesonic (US), Arthur (US), Capacity (US), Spot AI (US), Inbenta (US), Glean (US), Jasper (US), Atomwise (US), H2O.AI (US), Inflection AI (US), Persado (US), Appier (Taiwan), Graphcore (UK), AI21 Labs (Israel), Scale AI (US), IRIS Automation (US), Gamaya (Switzerland), Synthesia (England), Mostly AI (Austria), Mythic (US), Character.ai (US), ADA (Canada), Sentient.io (Singapore), Lumen5 (Canada), Aera Technology (US), Metropolis (US), Cerebras (US), Hailo (Israel), Soundful (US), and One AI (Israel). .
To speak to our analyst for a discussion on the above findings, click Speak to Analyst
Exclusive indicates content/data unique to MarketsandMarkets and not available with any competitors.
- 5.1 INTRODUCTION
-
5.2 MARKET DYNAMICSDRIVERS- Growth in adoption of autonomous artificial intelligence- Rise in technological advancements and innovations- Advancements in deep learning and growth of data-based artificial intelligenceRESTRAINTS- Shortage of skilled artificial intelligence professionals- Issues related to data availability and qualityOPPORTUNITIES- Rapid growth in digital data from various sources- Rise in investment in research & development by businesses and governmentsCHALLENGES- Data privacy and security concerns- Concerns related to bias and inaccurately generated output
-
5.3 ETHICS AND IMPLICATIONS OF ARTIFICIAL INTELLIGENCE DEVELOPMENTBIAS AND FAIRNESSACCOUNTABILITY AND TRUSTIMPACT ON SOCIAL DYNAMICSPRIVACY AND SECURITYTRANSPARENCY AND EXPLAINABILITY
- 5.4 INVESTMENTS IN ARTIFICIAL INTELLIGENCE
- 5.5 ACQUISITIONS IN ARTIFICIAL INTELLIGENCE MARKET
-
5.6 EVOLUTION OF ARTIFICIAL INTELLIGENCE TECHNOLOGYMILESTONES OF ARTIFICIAL INTELLIGENCEAUTONOMY LEVELS OF ARTIFICIAL INTELLIGENCE- Weak artificial intelligence/Artificial Narrow Intelligence (ANI)- Strong artificial intelligence
- 5.7 ARTIFICIAL INTELLIGENCE MARKET ECOSYSTEM
-
5.8 CASE STUDY ANALYSISRETAIL & ECOMMERCE- ASOS used Microsoft Azure’s ML service to reduce time-to-market for recommendations model- AWS’ technologies helped Artfinder offer recommendations to customers- Formosa Optical approached Appier to optimize customer satisfaction and unblock retail opportunityHEALTHCARE & LIFE SCIENCES- Tamil Nadu eGovernance Agency (TNeGA) used an AI-based mobile app to enable screening of people for cataract- Inspire used ML to connect millions of patients and caregivers on AWS- UCSF Health leverages H2O document artificial intelligence to automate workflows in healthcareBFSI- Humana used Watson Assistant to address customer queries- PayPal collaborated with H2O.ai to improve fraud detection accuracy and decrease its time- Vanguard Institutional utilized Persado to scale its personalization efforts for customer messagesAGRICULTURE- Biochemical company built digital solution to deliver accurate product recommendations using artificial intelligence- Agrochemical company used precision farming solutions to predict mildew disease in cropsMANUFACTURING- Kia Motors America relied on artificial intelligence solutions from SAS to improve its customer satisfaction- US-based Fortune 500 home appliances corporation approached Fosfor to improve its warranty and after-sales managementCONSTRUCTION- General Contractor leveraged ALICE on Silicon Valley Project to save millionsEDUCATION- NC State University leveraged Lumen5 to boost its online presenceENERGY & UTILITIES- Kore.ai enabled energy company to enhance customer service with conversational AIAUTOMOTIVE- Zoox approached AWS to boost development of self-driving carsTELECOM- Vodafone utilized Persado’s Motivation AI to develop creative campaigns through generative AIIT/ITES- Twilio leveraged Aisera’s generative AI technology and service to scale IT operations
-
5.9 TECHNOLOGY ANALYSISKEY TECHNOLOGIES- Generative AI- Conversational AI- Autonomous AI & Autonomous Agent- AutoML- Causal AI- Decision Intelligence- MLOps- Embedded AI- Composite AIADJACENT TECHNOLOGIES- Predictive Analytics- IoT- Big Data- Augmented Reality- Virtual Reality- Sensors and Robotics
- 5.10 VALUE CHAIN ANALYSIS
-
5.11 PORTER’S FIVE FORCES ANALYSISTHREAT OF NEW ENTRANTSTHREAT OF SUBSTITUTESBARGAINING POWER OF SUPPLIERSBARGAINING POWER OF BUYERSINTENSITY OF COMPETITIVE RIVALRY
-
5.12 PRICING MODEL ANALYSISINDICATIVE PRICING OF KEY OFFERINGSARTIFICIAL INTELLIGENCE: AVERAGE SELLING PRICES
-
5.13 PATENT ANALYSISMETHODOLOGYDOCUMENT TYPEINNOVATION AND PATENT APPLICATIONS- Top applicants
- 5.14 KEY CONFERENCES AND EVENTS
-
5.15 TARIFF AND REGULATORY LANDSCAPEREGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONSNORTH AMERICA- US- CanadaEUROPE- General Data Protection Regulation (GDPR)- EU Regulatory Framework for AIASIA PACIFIC- South Korea- China- IndiaMIDDLE EAST & AFRICA- UAE- KSA- BahrainLATIN AMERICA- Brazil- Mexico
-
5.16 KEY STAKEHOLDERS AND BUYING CRITERIAKEY STAKEHOLDERS IN BUYING PROCESSBUYING CRITERIA
- 5.17 TRENDS/DISRUPTIONS IMPACTING BUYERS/CLIENTS IN ARTIFICIAL INTELLIGENCE MARKET
- 5.18 BEST PRACTICES IN ARTIFICIAL INTELLIGENCE MARKET
- 5.19 TECHNOLOGY ROADMAP
- 5.20 BUSINESS MODELS
-
6.1 INTRODUCTIONOFFERING: ARTIFICIAL INTELLIGENCE MARKET DRIVERS
-
6.2 HARDWARERISE IN COMPETITION AMONG BUSINESSESACCELERATORS- Rise in demand for more optimized processing in artificial intelligence applicationsPROCESSORS- Technological advancements pave way for smaller, more powerful, and more efficient chips- Microprocessing units- Graphics processing units- Field programmable gate arrays- Other processorsMEMORY- Advancements in specialized solutions in AINETWORK- Need to offer seamless communication between various components within network
-
6.3 SOFTWAREARTIFICIAL INTELLIGENCE SOFTWARE SYNTHESIZES DATA FOR COMPUTERS TO PERFORM COMPLEX OPERATIONSSOFTWARE: ARTIFICIAL INTELLIGENCE MARKET, BY TYPE- Pre-trained models- Customizable AI- Edge AI- AI marketplacesSOFTWARE: ARTIFICIAL INTELLIGENCE MARKET, BY DEPLOYMENT- On-premises- Cloud
-
6.4 SERVICESCOMPLEX ALGORITHMS OF TECHNOLOGIES PROVIDING ONLINE AND OFFLINE SUPPORT SERVICES TO ARTIFICIAL INTELLIGENCE VENDORSPROFESSIONAL SERVICES- Greater need for comprehensive support for deploying power of artificial solutionsMANAGED SERVICES- Ensuring seamless artificial intelligence infrastructure
-
7.1 INTRODUCTIONTECHNOLOGY: ARTIFICIAL INTELLIGENCE MARKET DRIVERS
-
7.2 MACHINE LEARNINGRAPID GROWTH IN COMPUTATIONAL CAPABILITIESDEEP LEARNING- Convolutional Neural Networks (CNN)- Recurrent Neural Networks (RNN)SUPERVISED LEARNINGUNSUPERVISED LEARNINGREINFORCEMENT LEARNING
-
7.3 NATURAL LANGUAGE PROCESSINGNEED TO PROCESS VAST AMOUNTS OF VOICE AND TEXT DATA FROM VARIOUS SOURCES- Natural Language Understanding (NLU)- Natural Language Generation (NLG)
-
7.4 CONTEXT AWARENESSHIGHER NEED TO CREATE PERSONALIZED USER EXPERIENCE AND ENHANCE DECISION-MAKING
-
7.5 COMPUTER VISIONGROWTH IN APPLICATION OF COMPUTER VISION TECHNOLOGY ACROSS VARIOUS VERTICALS
-
8.1 INTRODUCTIONBUSINESS FUNCTION: ARTIFICIAL INTELLIGENCE MARKET DRIVERS
- 8.2 ARTIFICIAL INTELLIGENCE: ENTERPRISE USE CASES
-
8.3 FINANCEABILITY TO PROVIDE REAL-TIME ANALYSIS OF CUSTOMER DEMOGRAPHICSAI IN ACCOUNTINGAI IN PAYROLLAI IN FINANCIAL PLANNING & ANALYSISOTHER FINANCE FUNCTIONS
-
8.4 SECURITYENSURING CONFIDENTIALITY OF CRITICAL BUSINESS DATA WITH RAPID ADOPTION OF ARTIFICIAL INTELLIGENCEIDENTITY & ACCESS MANAGEMENTRISK & COMPLIANCE MANAGEMENTENCRYPTIONDATA LOSS PREVENTIONUNIFIED THREAT MANAGEMENTANTIVIRUS/ANTIMALWAREINTRUSION DETECTION/PREVENTION SYSTEMSOTHER SECURITY FUNCTIONS
-
8.5 HUMAN RESOURCESNEED TO OFFER PERSONALIZED TRAINING RECOMMENDATIONS BASED ON INDIVIDUAL SKILL GAPSVIRTUAL ASSISTANTAPPLICANT TRACKING & ASSESSMENTPERSONALIZED LEARNING & DEVELOPMENTHR ANALYTICSRECOMMENDATION ENGINESENTIMENT ANALYSISOTHER HUMAN RESOURCE FUNCTIONS
-
8.6 LAWPROVIDING EFFICIENT AND INNOVATIVE LEGAL ADVICE ON TECHNOLOGIESEDISCOVERYLEGAL RESEARCHCONTRACT ANALYSISCASE PREDICTIONCOMPLIANCEOTHER LAW FUNCTIONS
-
8.7 MARKETING & SALESNEED TO FORECAST CUSTOMER PREFERENCES AND BEHAVIORSOCIAL MEDIA ADVERTISINGSEARCH ADVERTISINGDYNAMIC PRICINGVIRTUAL ASSISTANTCONTENT CURATIONSALES & MARKETING AUTOMATIONOPTIMIZING SALES & MARKETING STRATEGIESOTHER MARKETING & SALES FUNCTIONS
-
8.8 OPERATIONSABILITY TO ENHANCE EFFICIENCY AND OPTIMIZE RESOURCE UTILIZATIONPROJECT MANAGEMENTPROCESS AUTOMATIONINTELLIGENT DOCUMENT PROCESSINGRESOURCE OPTIMIZATIONPROCESS MONITORING & CONTROLOTHER OPERATIONAL FUNCTIONS
-
8.9 SUPPLY CHAIN MANAGEMENTDEMAND FROM BUSINESSES TO ACHIEVE END-TO-END VISIBILITY AND OPTIMIZE PROCESSESSUPPLY CHAIN VISIBILITYSUPPLIER MANAGEMENTWAREHOUSE MANAGEMENTINVENTORY OPTIMIZATIONDEMAND FORECASTINGOTHERS SUPPLY MANAGEMENT FUNCTIONS
-
9.1 INTRODUCTIONVERTICAL: ARTIFICIAL INTELLIGENCE MARKET DRIVERS
-
9.2 BFSIRAPID ADOPTION OF ADVANCED ALGORITHMS AND DATA ANALYSISBFSI: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATIONFRAUD DETECTION & PREVENTIONRISK ASSESSMENT & MANAGEMENTALGORITHMIC TRADINGCREDIT SCORING & UNDERWRITINGCUSTOMER SERVICE AUTOMATIONPERSONALIZED FINANCIAL RECOMMENDATIONINVESTMENT PORTFOLIO MANAGEMENTREGULATORY COMPLIANCE MONITORINGOTHER BFSI APPLICATIONS
-
9.3 RETAIL & ECOMMERCEDEMAND FOR PERSONALIZED SHOPPING EXPERIENCE AND ENHANCE CUSTOMER SATISFACTIONRETAIL & ECOMMERCE: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATIONPERSONALIZED PRODUCT RECOMMENDATIONCUSTOMER RELATIONSHIP MANAGEMENTVISUAL SEARCHVIRTUAL CUSTOMER ASSISTANTPRICE OPTIMIZATIONPAYMENT SERVICE MANAGEMENTSUPPLY CHAIN MANAGEMENT & DEMAND PLANNINGVIRTUAL STORESOTHER RETAIL & ECOMMERCE APPLICATIONS
-
9.4 AUTOMOTIVE, TRANSPORTATION, AND LOGISTICSHIGHER DEMAND FOR ENHANCED EFFICIENCYAUTOMOTIVE, TRANSPORTATION, AND LOGISTICS: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATIONSEMI-AUTONOMOUS & AUTONOMOUS VEHICLESROUTE OPTIMIZATIONINTELLIGENT TRAFFIC MANAGEMENTDRIVER ASSISTANCE SYSTEMSMART LOGISTICS & WAREHOUSINGSUPPLY CHAIN VISIBILITY & TRACKINGFLEET MANAGEMENTVEHICLE DIAGNOSTICS AND TELEMATICSTRAFFIC PATTERN ANALYSISOTHER AUTOMOTIVE, TRANSPORTATION, AND LOGISTICS APPLICATIONS
-
9.5 GOVERNMENT & DEFENSEINITIATIVES TAKEN BY GOVERNMENTS TO STRENGTHEN NATIONAL SECURITYGOVERNMENT & DEFENSE: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATIONSMART TICKETINGAUTONOMOUS SURVEILLANCE & MONITORING SYSTEMSLAW ENFORCEMENTINTELLIGENCE ANALYSIS & DATA PROCESSINGBORDER SECURITY & SURVEILLANCEDISASTER RESPONSE & DISCOVERY ASSISTANCEUNMANNED UNDERWATER AND AERIAL VEHICLESEGOVERNANCE & DIGITAL CITY SERVICESOTHER GOVERNMENT & DEFENSE APPLICATIONS
-
9.6 HEALTHCARE & LIFESCIENCESBURGEONING NEED TO ENHANCE HEALTHCARE OUTCOMESHEALTHCARE & LIFE SCIENCES: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATIONPATIENT DATA & RISK ANALYSISLIFESTYLE MANAGEMENT & MONITORING AND WEARABLESPRECISION MEDICINEINPATIENT CARE & HOSPITAL MANAGEMENTMEDICAL IMAGING & DIAGNOSTICSDRUG DISCOVERYROBOTICS SURGERY & ASSISTANCEMEDICAL RESEARCHOTHER HEALTHCARE & LIFE SCIENCE APPLICATIONS
-
9.7 TELECOMOPTIMIZED NETWORK PERFORMANCE AND PREVENTING NETWORK OUTAGESTELECOM: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATIONNETWORK OPTIMIZATIONNETWORK SECURITYCUSTOMER SERVICE & SUPPORTNETWORK ANALYTICSINTELLIGENT CALL ROUTINGNETWORK FAULT PREDICTIONVIRTUAL NETWORK ASSISTANTVOICE & SPEECH RECOGNITIONOTHER TELECOM APPLICATIONS
-
9.8 ENERGY & UTILITIESEFFICIENT ENERGY UTILIZATION AND COST SAVINGSENERGY & UTILITIES: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATIONENERGY DEMAND FORECASTINGGRID OPTIMIZATION & MANAGEMENTENERGY CONSUMPTION ANALYTICSSMART METERING & ENERGY DATA MANAGEMENTENERGY STORAGE OPTIMIZATIONREAL-TIME ENERGY MONITORING & CONTROLPOWER QUALITY MONITORING & MANAGEMENTENERGY TRADING & MARKETING FORECASTINGINTELLIGENT ENERGY MANAGEMENT SYSTEMSOTHER ENERGY & UTILITY APPLICATIONS
-
9.9 MANUFACTURINGADOPTION OF INTELLIGENT SYSTEMS TO AUTOMATE AND OPTIMIZE OPERATIONSMANUFACTURING: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATIONMATERIAL MOVEMENT MANAGEMENTPREDICTIVE MAINTENANCE & MACHINERY INSPECTIONPRODUCTION PLANNINGQUALITY CONTROLPRODUCTION LINE OPTIMIZATIONINTELLIGENT INVENTORY MANAGEMENTAUTONOMOUS ROBOTICSOTHERS MANUFACTURING APPLICATIONS
-
9.10 AGRICULTUREINCREASE IN POTENTIAL TO MITIGATE ENVIRONMENTAL IMPACTAGRICULTURE: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATIONCROP MONITORING & YIELD PREDICTIONPRECISION FARMINGSOIL ANALYSIS & NUTRIENT MANAGEMENTPEST & DISEASE DETECTIONIRRIGATION OPTIMIZATION & WATER MANAGEMENTAUTOMATED HARVESTING & SORTINGWEED DETECTION & MANAGEMENTWEATHER & CLIMATE MONITORINGLIVESTOCK MONITORING & HEALTH MANAGEMENTOTHER AGRICULTURAL APPLICATIONS
-
9.11 IT/ITESRISE IN OPPORTUNITIES TO ENHANCE CUSTOMER EXPERIENCES AND DRIVE COMPETITIVE ADVANTAGEIT/ITES: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATIONAUTOMATED CODE GENERATION & OPTIMIZATIONAUTOMATED IT ASSET MANAGEMENTIT TICKETING & SUPPORT AUTOMATIONINTELLIGENT DATA BACKUP & RECOVERYIT SERVICE MANAGEMENT AUTOMATIONAUTOMATED SOFTWARE TESTING & QUALITY ASSURANCEOTHER IT/ITES APPLICATIONS
-
9.12 MEDIA & ENTERTAINMENTRISE IN NEED TO UNDERSTAND AND CATER TO INDIVIDUAL PREFERENCES AND BEHAVIORSMEDIA & ENTERTAINMENT: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATIONCONTENT RECOMMENDATION SYSTEMSCONTENT CREATION & GENERATIONCONTENT COPYRIGHT PROTECTIONAUDIENCE ANALYTICS AND SEGMENTATIONPERSONALIZED ADVERTISINGOTHER MEDIA & ENTERTAINMENT APPLICATIONS
- 9.13 OTHER VERTICALS
- 10.1 INTRODUCTION
-
10.2 NORTH AMERICANORTH AMERICA: ARTIFICIAL INTELLIGENCE MARKET DRIVERSNORTH AMERICA: RECESSION IMPACTUS- Growth initiatives by government and businessesCANADA- Rise in adoption of technologies for research and innovation
-
10.3 EUROPEEUROPE: ARTIFICIAL INTELLIGENCE MARKET DRIVERSEUROPE: RECESSION IMPACTUK- Continuous investments and initiatives by governmentGERMANY- Increase in need to prioritize artificial intelligence governance aligning with regulatory frameworksFRANCE- Demand for improved efficiency and decision-makingITALY- Adoption of sophisticated technologies with thriving startup ecosystemSPAIN- Initiatives by government to promote widespread adoption of artificial intelligenceNORDIC- Venture capital investments with growing interest in development of artificial intelligenceBALKANS- Collaboration among industry, academia, and government to adopt front-line technologiesREST OF EUROPE
-
10.4 ASIA PACIFICASIA PACIFIC: ARTIFICIAL INTELLIGENCE MARKET DRIVERSASIA PACIFIC: IMPACT OF RECESSIONCHINA- Government initiatives and regulations in favor of AI developmentJAPAN- Government initiatives and industry collaborationsSOUTH KOREA- Government investments in artificial intelligence infrastructure to enhance citizen servicesINDIA- Exploring generative AI for innovation and industry transformationAUSTRALIA & NEW ZEALAND- Business experiment with applications of generative AIASEAN- Progress in adopting artificial technologyREST OF ASIA PACIFIC
-
10.5 MIDDLE EAST & AFRICAMIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE MARKET DRIVERSMIDDLE EAST & AFRICA: IMPACT OF RECESSIONISRAEL- Growth in application of artificial intelligence across various industry verticalsKINGDOM OF SAUDI ARABIA- Greater emphasis on artificial intelligence development across key industry verticalsUAE- Implementation of proactive strategies and establishing regulatory frameworksEGYPT- Initiatives by government by collaborating with academiaTURKEY- Government fostering innovation to drive economic growthSOUTH AFRICA- Rapid adoption of advanced technologies by businesses country-wideREST OF THE MIDDLE EAST & AFRICA
-
10.6 LATIN AMERICALATIN AMERICA: ARTIFICIAL INTELLIGENCE MARKET DRIVERSLATIN AMERICA: IMPACT OF RECESSIONBRAZIL- Rise in requirement to balance ethical use of technologyMEXICO- Endeavoring to become digitally advanced countryARGENTINA- Adoption of artificial intelligence to enhance processes and improve decision-makingCENTRAL AMERICA- Rise in application of artificial intelligence to promote research and innovationREST OF LATIN AMERICA
- 11.1 OVERVIEW
- 11.2 KEY PLAYER STRATEGIES
-
11.3 REVENUE ANALYSISHISTORICAL REVENUE ANALYSIS
- 11.4 MARKET SHARE ANALYSIS
-
11.5 COMPANY EVALUATION QUADRANTSTARSEMERGING LEADERSPERVASIVE PLAYERSPARTICIPANTSCOMPETITIVE BENCHMARKING
-
11.6 STARTUP/SME EVALUATION MATRIXPROGRESSIVE COMPANIESRESPONSIVE COMPANIESDYNAMIC COMPANIESSTARTING BLOCKSSTARTUPS/SMES COMPETITIVE BENCHMARKING
- 11.7 ARTIFICIAL INTELLIGENCE PRODUCT LANDSCAPE
-
11.8 COMPETITIVE SCENARIO AND TRENDSPRODUCT LAUNCHESDEALS
- 11.9 VALUATION AND FINANCIAL METRICS OF KEY ARTIFICIAL INTELLIGENCE VENDORS
- 11.10 YEAR-TO-DATE (YTD) PRICE TOTAL RETURN AND STOCK BETA OF KEY ARTIFICIAL INTELLIGENCE VENDORS
- 12.1 INTRODUCTION
-
12.2 MAJOR PLAYERSGOOGLE- Business overview- Products/Solutions/Services offered- Recent developments- MnM viewMICROSOFT- Business overview- Products/Solutions/Services offered- Recent developments- MnM viewIBM- Business overview- Products/Solutions/Services offered- Recent developments- MnM viewORACLE- Business overview- Products/Solutions/Services offered- Recent developments- MnM viewAWS- Business overview- Products/Solutions/Services offered- Recent developments- MnM viewINTEL- Business overview- Products/Solutions/Services offered- Recent developments- MnM viewSALESFORCE- Business overview- Products/Solutions/Services offered- Recent developments- MnM viewSAP- Business overview- Products/Solutions/Services offered- Recent developments- MnM viewCISCO- Business overview- Products/Solutions/Services offered- Recent developmentsMETA- Business overview- Products/Solutions/Services offered- Recent developmentsHPE- Business overview- Products/Solutions/Services offered- Recent developmentsSIEMENS- Business overview- Products/Solutions/Services offered- Recent developmentsNVIDIA- Business overview- Products/Solutions/Services offered- Recent developmentsBAIDU- Business overview- Products/Solutions/Services offered- Recent developments- MnM viewSAS INSTITUTE- Business overview- Products/Solutions/Services offered- Recent developmentsOPENAI- Business overview- Products/Solutions/Services offered- Recent developmentsH20.AI- Business overview- Products/Solutions/Services offeredIFLYTEK- Business overview- Products/Solutions/Services offered- Recent developmentsHUAWEI- Business overview- Products/Solutions/Services offered- Recent developmentsALIBABA CLOUD- Business overview- Products/Solutions/Services offered- Recent developments
-
12.3 OTHER KEY PLAYERSGENERAL VISIONDARKTRACEBLACKBERRY LIMITEDDIDI GLOBALFACE++INBENTAANJU SOFTWAREBUTTERFLY NETWORKATOMWISEAIBRAINSK HYNIXPROGRESSPRECISIONHAWKAGEAGLE AERIAL SYSTEMNEURALATWITTERAUREA SOFTWAREPERSADO8X8APPIERGUMGUMIPROGRAPHCOREPREFERRED NETWORKSAPPLIED BRAIN RESEARCHPILOT AIIRIS AUTOMATIONGAMAYAEC2CEDESCARTES LABSMYTHICADAMOSTLY AISENTIENT.IOLUMEN5AERA TECHNOLOGY
-
12.4 STARTUPSAI SUPERIORFOSFORINTRINSICJASPERSOUNDFULWRITESONICONE AI
-
13.1 ADJACENT AND RELATED MARKETSINTRODUCTIONGENERATIVE AI MARKET - GLOBAL FORECAST TO 2028- Market definition- Market overviewCONVERSATIONAL AI MARKET - GLOBAL FORECAST TO 2028- Market definition- Market overview
- 14.1 DISCUSSION GUIDE
- 14.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
- 14.3 CUSTOMIZATION OPTIONS
- 14.4 RELATED REPORTS
- 14.5 AUTHOR DETAILS
- TABLE 1 USD EXCHANGE RATES, 2020–2022
- TABLE 2 PRIMARY INTERVIEWS
- TABLE 3 FACTOR ANALYSIS
- TABLE 4 ARTIFICIAL INTELLIGENCE MARKET SIZE AND GROWTH RATE, 2017–2022 (USD MILLION, Y-O-Y GROWTH)
- TABLE 5 MARKET SIZE AND GROWTH RATE, 2023–2030 (USD MILLION, Y-O-Y GROWTH)
- TABLE 6 MAJOR INVESTMENTS IN ARTIFICIAL INTELLIGENCE, 2019–2023
- TABLE 7 MAJOR ACQUISITIONS IN MARKET BETWEEN 2019 AND 2023
- TABLE 8 MARKET: HARDWARE PROVIDERS
- TABLE 9 MARKET: SOFTWARE PROVIDERS
- TABLE 10 MARKET: PLATFORM PROVIDERS
- TABLE 11 MARKET: NETWORK PROVIDERS
- TABLE 12 MARKET: SECURITY PROVIDERS
- TABLE 13 MARKET: SERVICE PROVIDERS
- TABLE 14 MARKET: CLOUD PROVIDERS
- TABLE 15 MARKET: PORTER’S FIVE FORCES ANALYSIS
- TABLE 16 PRICING ANALYSIS
- TABLE 17 PATENTS FILED, 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
- TABLE 21 DETAILED LIST OF CONFERENCES AND EVENTS, 2023–2024
- 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
- TABLE 26 INFLUENCE OF STAKEHOLDERS IN BUYING PROCESS FOR TOP THREE VERTICALS
- TABLE 27 KEY BUYING CRITERIA FOR TOP THREE VERTICALS
- TABLE 28 TECHNOLOGY ROADMAP OF MARKET
- TABLE 29 MARKET, BY OFFERING, 2017–2022 (USD MILLION)
- TABLE 30 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2023–2030 (USD MILLION)
- TABLE 31 MARKET, BY HARDWARE, 2017–2022 (USD MILLION)
- TABLE 32 MARKET, BY HARDWARE, 2023–2030 (USD MILLION)
- TABLE 33 HARDWARE: MARKET, BY REGION, 2017–2022 (USD MILLION)
- TABLE 34 HARDWARE: MARKET, BY REGION, 2023–2030 (USD MILLION)
- TABLE 35 ACCELERATORS: MARKET, BY REGION, 2017–2022 (USD MILLION)
- TABLE 36 ACCELERATORS: MARKET, BY REGION, 2023–2030 (USD MILLION)
- TABLE 37 MARKET, BY PROCESSOR, 2017–2022 (USD MILLION)
- TABLE 38 MARKET, BY PROCESSOR, 2023–2030 (USD MILLION)
- TABLE 39 PROCESSORS: MARKET, BY REGION, 2017–2022 (USD MILLION)
- TABLE 40 PROCESSORS: MARKET, BY REGION, 2023–2030 (USD MILLION)
- TABLE 41 MICROPROCESSING UNITS: MARKET, BY REGION, 2017–2022 (USD MILLION)
- TABLE 42 MICROPROCESSING UNITS: MARKET, BY REGION, 2023–2030 (USD MILLION)
- TABLE 43 GRAPHICS PROCESSING UNITS: MARKET, BY REGION, 2017–2022 (USD MILLION)
- TABLE 44 GRAPHICS PROCESSING UNITS: MARKET, BY REGION, 2023–2030 (USD MILLION)
- TABLE 45 FIELD PROGRAMMABLE GATE ARRAYS: MARKET, BY REGION, 2017–2022 (USD MILLION)
- TABLE 46 FIELD PROGRAMMABLE GATE ARRAYS: MARKET, BY REGION, 2023–2030 (USD MILLION)
- TABLE 47 OTHER PROCESSORS: MARKET, BY REGION, 2017–2022 (USD MILLION)
- TABLE 48 OTHER PROCESSORS: MARKET, BY REGION, 2023–2030(USD MILLION)
- TABLE 49 MEMORY: MARKET, BY REGION, 2017–2022 (USD MILLION)
- TABLE 50 MEMORY: MARKET, BY REGION, 2023–2030 (USD MILLION)
- TABLE 51 NETWORK: MARKET, BY REGION, 2017–2022 (USD MILLION)
- TABLE 52 NETWORK: MARKET, BY REGION, 2023–2030 (USD MILLION)
- TABLE 53 SOFTWARE: MARKET, BY TYPE, 2017–2022 (USD MILLION)
- TABLE 54 SOFTWARE: MARKET, BY TYPE, 2023–2030 (USD MILLION)
- TABLE 55 SOFTWARE: MARKET, BY REGION, 2017–2022 (USD MILLION)
- TABLE 56 SOFTWARE: MARKET, BY REGION, 2023–2030 (USD MILLION)
- TABLE 57 PRE-TRAINED MODELS: MARKET, BY REGION, 2017–2022 (USD MILLION)
- TABLE 58 PRE-TRAINED MODELS: MARKET, BY REGION, 2023–2030 (USD MILLION)
- TABLE 59 CUSTOMIZABLE AI: MARKET, BY REGION, 2017–2022 (USD MILLION)
- TABLE 60 CUSTOMIZABLE AI: MARKET, BY REGION, 2023–2030 (USD MILLION)
- TABLE 61 EDGE AI: MARKET, BY REGION, 2017–2022 (USD MILLION)
- TABLE 62 EDGE AI: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2023–2030 (USD MILLION)
- TABLE 63 AI MARKETPLACES: MARKET, BY REGION, 2017–2022 (USD MILLION)
- TABLE 64 AI MARKETPLACES: MARKET, BY REGION, 2023–2030 (USD MILLION)
- TABLE 65 SOFTWARE: MARKET, BY DEPLOYMENT, 2017–2022 (USD MILLION)
- TABLE 66 SOFTWARE: MARKET, BY DEPLOYMENT, 2023–2030 (USD MILLION)
- TABLE 67 ON-PREMISES: MARKET, BY REGION, 2017–2022 (USD MILLION)
- TABLE 68 ON-PREMISES: MARKET, BY REGION, 2023–2030 (USD MILLION)
- TABLE 69 CLOUD: MARKET, BY REGION, 2017–2022 (USD MILLION)
- TABLE 70 CLOUD: MARKET, BY REGION, 2023–2030 (USD MILLION)
- TABLE 71 MARKET, BY SERVICE, 2017–2022 (USD MILLION)
- TABLE 72 MARKET, BY SERVICE, 2023–2030 (USD MILLION)
- TABLE 73 SERVICES: MARKET, BY REGION, 2017–2022 (USD MILLION)
- TABLE 74 SERVICES: MARKET, BY REGION, 2023–2030 (USD MILLION)
- TABLE 75 MARKET, BY PROFESSIONAL SERVICE, 2017–2022 (USD MILLION)
- TABLE 76 MARKET, 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)
- TABLE 79 CONSULTING SERVICES: MARKET, BY REGION, 2017–2022 (USD MILLION)
- TABLE 80 CONSULTING SERVICES: MARKET, BY REGION, 2023–2030 (USD MILLION)
- TABLE 81 DEPLOYMENT & INTEGRATION: MARKET, BY REGION, 2017–2022 (USD MILLION)
- TABLE 82 DEPLOYMENT & INTEGRATION: MARKET, BY REGION, 2023–2030 (USD MILLION)
- TABLE 83 SUPPORT & MAINTENANCE: MARKET, BY REGION, 2017–2022 (USD MILLION)
- TABLE 84 SUPPORT & MAINTENANCE: MARKET, BY REGION, 2023–2030 (USD MILLION)
- TABLE 85 MANAGED SERVICES: MARKET, BY REGION, 2017–2022 (USD MILLION)
- TABLE 86 MANAGED SERVICES: MARKET, BY REGION, 2023–2030 (USD MILLION)
- TABLE 87 MARKET, BY TECHNOLOGY, 2017–2022 (USD MILLION)
- TABLE 88 MARKET, BY TECHNOLOGY, 2023–2030 (USD MILLION)
- 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)
- TABLE 93 DEEP LEARNING: MARKET, BY REGION, 2017–2022 (USD MILLION)
- TABLE 94 DEEP LEARNING: MARKET, BY REGION, 2023–2030 (USD MILLION)
- TABLE 95 SUPERVISED LEARNING: MARKET, BY REGION, 2017–2022 (USD MILLION)
- TABLE 96 SUPERVISED LEARNING: MARKET, BY REGION, 2023–2030 (USD MILLION)
- TABLE 97 UNSUPERVISED LEARNING: MARKET, BY REGION, 2017–2022 (USD MILLION)
- TABLE 98 UNSUPERVISED LEARNING: MARKET, BY REGION, 2023–2030 (USD MILLION)
- TABLE 99 REINFORCEMENT LEARNING: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2017–2022 (USD MILLION)
- TABLE 100 REINFORCEMENT LEARNING: MARKET, BY REGION, 2023–2030 (USD MILLION)
- TABLE 101 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)
- TABLE 105 CONTEXT AWARENESS: MARKET, BY REGION, 2017–2022 (USD MILLION)
- TABLE 106 CONTEXT AWARENESS: MARKET, BY REGION, 2023–2030 (USD MILLION)
- TABLE 107 COMPUTER VISION: MARKET, BY REGION, 2017–2022 (USD MILLION)
- TABLE 108 COMPUTER VISION: MARKET, BY REGION, 2023–2030 (USD MILLION)
- TABLE 109 MARKET, BY BUSINESS FUNCTION, 2017–2022 (USD MILLION)
- TABLE 110 MARKET, BY BUSINESS FUNCTION, 2023–2030 (USD MILLION)
- TABLE 111 FINANCE: MARKET, BY REGION, 2017–2022 (USD MILLION)
- TABLE 112 FINANCE: MARKET, BY REGION, 2023–2030 (USD MILLION)
- TABLE 113 SECURITY: MARKET, BY REGION, 2017–2022 (USD MILLION)
- TABLE 114 SECURITY: MARKET, BY REGION, 2023–2030 (USD MILLION)
- TABLE 115 HUMAN RESOURCES: MARKET, BY REGION, 2017–2022 (USD MILLION)
- TABLE 116 HUMAN RESOURCES: MARKET, BY REGION, 2023–2030 (USD MILLION)
- TABLE 117 LAW: MARKET, BY REGION, 2017–2022 (USD MILLION)
- TABLE 118 LAW: MARKET, BY REGION, 2023–2030 (USD MILLION)
- TABLE 119 MARKETING & SALES: MARKET, BY REGION, 2017–2022 (USD MILLION)
- TABLE 120 MARKETING & SALES: MARKET, BY REGION, 2023–2030 (USD MILLION)
- TABLE 121 OPERATIONS: MARKET, BY REGION, 2017–2022 (USD MILLION)
- TABLE 122 OPERATIONS: MARKET, BY REGION, 2 023–2030 (USD MILLION)
- TABLE 123 SUPPLY CHAIN MANAGEMENT: MARKET, BY REGION, 2017–2022 (USD MILLION)
- TABLE 124 SUPPLY CHAIN MANAGEMENT: MARKET, BY REGION, 2023–2030 (USD MILLION)
- TABLE 125 MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
- TABLE 126 MARKET, BY VERTICAL, 2023–2030 (USD MILLION)
- TABLE 127 BFSI: MARKET, BY REGION, 2017–2022 (USD MILLION)
- TABLE 128 BFSI: MARKET, BY REGION, 2023–2030 (USD MILLION)
- TABLE 129 BFSI: MARKET, BY APPLICATION, 2017–2022 (USD MILLION)
- TABLE 130 BFSI: MARKET, BY APPLICATION, 2023–2030 (USD MILLION)
- TABLE 131 RETAIL & ECOMMERCE: MARKET, BY REGION, 2017–2022 (USD MILLION)
- TABLE 132 RETAIL & ECOMMERCE: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2023–2030 (USD MILLION)
- TABLE 133 RETAIL & ECOMMERCE: MARKET, BY APPLICATION, 2017–2022 (USD MILLION)
- TABLE 134 RETAIL & ECOMMERCE: MARKET, BY APPLICATION, 2023–2030 (USD MILLION)
- TABLE 135 AUTOMOTIVE, TRANSPORTATION, AND LOGISTICS: MARKET, BY REGION, 2017–2022 (USD MILLION)
- TABLE 136 AUTOMOTIVE, TRANSPORTATION, AND LOGISTICS: MARKET, BY REGION, 2023–2030 (USD MILLION)
- TABLE 137 AUTOMOTIVE, TRANSPORTATION, AND LOGISTICS: MARKET, BY APPLICATION, 2017–2022 (USD MILLION)
- TABLE 138 AUTOMOTIVE, TRANSPORTATION, AND LOGISTICS: MARKET, BY APPLICATION, 2023–2030 (USD MILLION)
- TABLE 139 GOVERNMENT & DEFENSE: MARKET, BY REGION, 2017–2022 (USD MILLION)
- TABLE 140 GOVERNMENT & DEFENSE: MARKET, BY REGION, 2023–2030 (USD MILLION)
- TABLE 141 GOVERNMENT & DEFENSE: MARKET, BY APPLICATION, 2017–2022 (USD MILLION)
- TABLE 142 GOVERNMENT & DEFENSE: MARKET, BY APPLICATION, 2023–2030 (USD MILLION)
- TABLE 143 HEALTHCARE & LIFESCIENCES: MARKET, BY REGION, 2017–2022 (USD MILLION)
- TABLE 144 HEALTHCARE & LIFESCIENCES: MARKET, BY REGION, 2023–2030 (USD MILLION)
- TABLE 145 HEALTHCARE & LIFE SCIENCES: MARKET, BY APPLICATION, 2017–2022 (USD MILLION)
- TABLE 146 HEALTHCARE & LIFE SCIENCES: MARKET, BY APPLICATION, 2023–2030 (USD MILLION)
- TABLE 147 TELECOM: MARKET, BY REGION, 2017–2022 (USD MILLION)
- TABLE 148 TELECOM: MARKET, BY REGION, 2023–2030 (USD MILLION)
- TABLE 149 TELECOM: MARKET, BY APPLICATION, 2017–2022 (USD MILLION)
- TABLE 150 TELECOM: MARKET, BY APPLICATION, 2023–2030 (USD MILLION)
- TABLE 151 ENERGY & UTILITIES: MARKET, BY REGION, 2017–2022 (USD MILLION)
- TABLE 152 ENERGY & UTILITIES: MARKET, BY REGION, 2023–2030 (USD MILLION)
- TABLE 153 ENERGY & UTILITIES: MARKET, BY APPLICATION, 2017–2022 (USD MILLION)
- TABLE 154 ENERGY & UTILITIES: MARKET, BY APPLICATION, 2023–2030 (USD MILLION)
- TABLE 155 MANUFACTURING: MARKET, BY REGION, 2017–2022 (USD MILLION)
- TABLE 156 MANUFACTURING: MARKET, BY REGION, 2023–2030 (USD MILLION)
- TABLE 157 MANUFACTURING: MARKET, BY APPLICATION, 2017–2022 (USD MILLION)
- TABLE 158 MANUFACTURING: MARKET, BY APPLICATION, 2023–2030 (USD MILLION)
- TABLE 159 AGRICULTURE: MARKET, BY REGION, 2017–2022 (USD MILLION)
- TABLE 160 AGRICULTURE: MARKET, BY REGION, 2023–2030 (USD MILLION)
- TABLE 161 AGRICULTURE: MARKET, BY APPLICATION, 2017–2022 (USD MILLION)
- TABLE 162 AGRICULTURE: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2023–2030 (USD MILLION)
- TABLE 163 IT/ITES: MARKET, BY REGION, 2017–2022 (USD MILLION)
- TABLE 164 IT/ITES: MARKET, BY REGION, 2023–2030 (USD MILLION)
- TABLE 165 IT/ITES: MARKET, BY APPLICATION, 2017–2022 (USD MILLION)
- TABLE 166 IT/ITES: MARKET, BY APPLICATION, 2023–2030 (USD MILLION)
- TABLE 167 MEDIA & ENTERTAINMENT: MARKET, BY REGION, 2017–2022 (USD MILLION)
- TABLE 168 MEDIA & ENTERTAINMENT: MARKET, BY REGION, 2023–2030 (USD MILLION)
- TABLE 169 MEDIA & ENTERTAINMENT: MARKET, BY APPLICATION, 2017–2022 (USD MILLION)
- TABLE 170 MEDIA & ENTERTAINMENT: MARKET, BY APPLICATION, 2023–2030 (USD MILLION)
- TABLE 171 OTHER VERTICALS: MARKET, BY REGION, 2017–2022 (USD MILLION)
- TABLE 172 OTHER VERTICALS: MARKET, BY REGION, 2023–2030 (USD MILLION)
- TABLE 173 MARKET, BY REGION, 2017–2022 (USD MILLION)
- TABLE 174 MARKET, BY REGION, 2023–2030 (USD MILLION)
- 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: MARKET, BY SERVICE, 2017–2022 (USD MILLION)
- TABLE 186 NORTH AMERICA: MARKET, BY SERVICE, 2023–2030 (USD MILLION)
- TABLE 187 NORTH AMERICA: MARKET, BY PROFESSIONAL SERVICE, 2017–2022 (USD MILLION)
- TABLE 188 NORTH AMERICA: 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: MARKET, 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: 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: 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)
- TABLE 223 US: MARKET, BY TECHNOLOGY, 2017–2022 (USD MILLION)
- TABLE 224 US: MARKET, BY TECHNOLOGY, 2023–2030 (USD MILLION)
- TABLE 225 US: MARKET, 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)
- TABLE 229 CANADA: MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
- TABLE 230 CANADA: MARKET, BY VERTICAL, 2023–2030 (USD MILLION)
- TABLE 231 EUROPE: 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: MARKET, 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: MARKET, BY SERVICE, 2017–2022 (USD MILLION)
- TABLE 242 EUROPE: MARKET, BY SERVICE, 2023–2030 (USD MILLION)
- TABLE 243 EUROPE: MARKET, BY PROFESSIONAL SERVICE, 2017–2022 (USD MILLION)
- TABLE 244 EUROPE: 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: MARKET, BY MACHINE LEARNING, 2023–2030 (USD MILLION)
- TABLE 249 EUROPE: MARKET, BY NATURAL LANGUAGE PROCESSING, 2017–2022 (USD MILLION)
- TABLE 250 EUROPE: MARKET, BY NATURAL LANGUAGE PROCESSING, 2023–2030 (USD MILLION)
- TABLE 251 EUROPE: MARKET, BY BUSINESS FUNCTION, 2017–2022 (USD MILLION)
- TABLE 252 EUROPE: MARKET, BY BUSINESS FUNCTION, 2023–2030 (USD MILLION)
- TABLE 253 EUROPE: MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
- TABLE 254 EUROPE: 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)
- TABLE 279 UK: MARKET, BY TECHNOLOGY, 2017–2022 (USD MILLION)
- TABLE 280 UK: MARKET, 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: MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
- TABLE 284 UK: MARKET, BY VERTICAL, 2023–2030 (USD MILLION)
- TABLE 285 GERMANY: MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
- TABLE 286 GERMANY: MARKET, BY VERTICAL, 2023–2030 (USD MILLION)
- TABLE 287 FRANCE: MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
- TABLE 288 FRANCE: MARKET, BY VERTICAL, 2023–2030 (USD MILLION)
- TABLE 289 ITALY: ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
- TABLE 290 ITALY: MARKET, BY VERTICAL, 2023–2030 (USD MILLION)
- TABLE 291 SPAIN: MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
- TABLE 292 SPAIN: MARKET, BY VERTICAL, 2023–2030 (USD MILLION)
- 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 SOFTWARE MARKET, BY DEPLOYMENT, 2017–2022 (USD MILLION)
- TABLE 302 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE SOFTWARE MARKET, BY DEPLOYMENT, 2023–2030 (USD MILLION)
- TABLE 303 ASIA PACIFIC: 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: ARTIFICIAL INTELLIGENCE MARKET, BY MACHINE LEARNING, 2017–2022 (USD MILLION)
- TABLE 310 ASIA PACIFIC: MARKET, BY MACHINE LEARNING, 2023–2030 (USD MILLION)
- TABLE 311 ASIA PACIFIC: 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: MARKET, 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: 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)
- TABLE 319 CHINA: 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)
- TABLE 325 JAPAN: MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
- TABLE 326 JAPAN: MARKET, BY VERTICAL, 2023–2030 (USD MILLION)
- TABLE 327 SOUTH KOREA: MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
- TABLE 328 SOUTH KOREA: MARKET, BY VERTICAL, 2023–2030 (USD MILLION)
- TABLE 329 INDIA: MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
- TABLE 330 INDIA: MARKET, BY VERTICAL, 2023–2030 (USD MILLION)
- TABLE 331 AUSTRALIA & NEW ZEALAND: MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
- TABLE 332 AUSTRALIA & NEW ZEALAND: MARKET, BY VERTICAL, 2023–2030 (USD MILLION)
- TABLE 333 ASEAN: MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
- TABLE 334 ASEAN: ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2023–2030 (USD MILLION)
- TABLE 335 MIDDLE EAST & AFRICA: 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: ARTIFICIAL INTELLIGENCE 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: 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)
- TABLE 361 ISRAEL: MARKET, BY TECHNOLOGY, 2017–2022 (USD MILLION)
- TABLE 362 ISRAEL: ARTIFICIAL INTELLIGENCE 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: MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
- TABLE 366 ISRAEL: MARKET, BY VERTICAL, 2023–2030 (USD MILLION)
- 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)
- TABLE 369 UAE: MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
- TABLE 370 UAE: MARKET, BY VERTICAL, 2023–2030 (USD MILLION)
- TABLE 371 EGYPT: MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
- TABLE 372 EGYPT: MARKET, BY VERTICAL, 2023–2030 (USD MILLION)
- TABLE 373 TURKEY: MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
- TABLE 374 TURKEY: MARKET, BY VERTICAL, 2023–2030 (USD MILLION)
- TABLE 375 SOUTH AFRICA: MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
- TABLE 376 SOUTH AFRICA: MARKET, BY VERTICAL, 2023–2030 (USD MILLION)
- TABLE 377 LATIN AMERICA: MARKET, BY OFFERING, 2017–2022 (USD MILLION)
- TABLE 378 LATIN AMERICA: MARKET, 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: MARKET, BY PROCESSOR, 2023–2030 (USD MILLION)
- TABLE 383 LATIN AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY SOFTWARE, 2017–2022 (USD MILLION)
- TABLE 384 LATIN AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY SOFTWARE, 2023–2030 (USD MILLION)
- TABLE 385 LATIN AMERICA: ARTIFICIAL INTELLIGENCE SOFTWARE MARKET, BY DEPLOYMENT, 2017–2022 (USD MILLION)
- TABLE 386 LATIN AMERICA: ARTIFICIAL INTELLIGENCE SOFTWARE MARKET, BY DEPLOYMENT, 2023–2030 (USD MILLION)
- TABLE 387 LATIN AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY SERVICE, 2017–2022 (USD MILLION)
- TABLE 388 LATIN AMERICA: ARTIFICIAL INTELLIGENCE 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: ARTIFICIAL INTELLIGENCE MARKET, BY PROFESSIONAL SERVICE, 2023–2030 (USD MILLION)
- TABLE 391 LATIN AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2017–2022 (USD MILLION)
- TABLE 392 LATIN AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2023–2030 (USD MILLION)
- TABLE 393 LATIN AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY MACHINE LEARNING, 2017–2022 (USD MILLION)
- TABLE 394 LATIN AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY MACHINE LEARNING, 2023–2030 (USD MILLION)
- TABLE 395 LATIN AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY NATURAL LANGUAGE PROCESSING, 2017–2022 (USD MILLION)
- TABLE 396 LATIN AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY NATURAL LANGUAGE PROCESSING, 2023–2030 (USD MILLION)
- TABLE 397 LATIN AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2017–2022 (USD MILLION)
- TABLE 398 LATIN AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2023–2030 (USD MILLION)
- TABLE 399 LATIN AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
- TABLE 400 LATIN AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2023–2030 (USD MILLION)
- TABLE 401 LATIN AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY COUNTRY/REGION, 2017–2022 (USD MILLION)
- TABLE 402 LATIN AMERICA: MARKET, BY COUNTRY/REGION, 2023–2030 (USD MILLION)
- TABLE 403 BRAZIL: MARKET, BY TECHNOLOGY, 2017–2022 (USD MILLION)
- TABLE 404 BRAZIL: MARKET, 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: ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
- TABLE 408 BRAZIL: ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2023–2030 (USD MILLION)
- TABLE 409 MEXICO: ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
- TABLE 410 MEXICO: ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2023–2030 (USD MILLION)
- TABLE 411 ARGENTINA: ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
- TABLE 412 ARGENTINA: ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2023–2030 (USD MILLION)
- TABLE 413 CENTRAL AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
- TABLE 414 CENTRAL AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2023–2030 (USD MILLION)
- TABLE 415 OVERVIEW OF STRATEGIES ADOPTED BY KEY VENDORS
- TABLE 416 ARTIFICIAL INTELLIGENCE MARKET: DEGREE OF COMPETITION
- TABLE 417 ARTIFICIAL INTELLIGENCE MARKET: PRODUCT FOOTPRINT ANALYSIS OF KEY PLAYERS, 2022
- TABLE 418 ARTIFICIAL INTELLIGENCE MARKET: DETAILED LIST OF KEY STARTUPS/SMES
- TABLE 419 ARTIFICIAL INTELLIGENCE MARKET: PRODUCT FOOTPRINT ANALYSIS OF STARTUPS/SME PLAYERS, 2023
- TABLE 420 COMPARATIVE ANALYSIS OF HARDWARE PRODUCTS
- TABLE 421 COMPARATIVE ANALYSIS OF SOFTWARE PRODUCTS
- TABLE 422 PRODUCT LAUNCHES AND ENHANCEMENTS, 2019–2023
- TABLE 423 DEALS, 2019–2023
- TABLE 424 GOOGLE: BUSINESS OVERVIEW
- 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
- TABLE 430 MICROSOFT: BUSINESS OVERVIEW
- TABLE 431 MICROSOFT: PRODUCTS OFFERED
- TABLE 432 MICROSOFT: SERVICES OFFERED
- TABLE 433 MICROSOFT: PRODUCT LAUNCHES AND ENHANCEMENTS
- TABLE 434 MICROSOFT: DEALS
- TABLE 435 IBM: BUSINESS OVERVIEW
- TABLE 436 IBM: PRODUCTS OFFERED
- TABLE 437 IBM: SERVICES OFFERED
- TABLE 438 IBM: PRODUCT LAUNCHES AND ENHANCEMENTS
- TABLE 439 IBM: DEALS
- TABLE 440 ORACLE: BUSINESS OVERVIEW
- TABLE 441 ORACLE: PRODUCTS OFFERED
- TABLE 442 ORACLE: SERVICES OFFERED
- TABLE 443 ORACLE: PRODUCT LAUNCHES AND ENHANCEMENTS
- TABLE 444 ORACLE: DEALS
- TABLE 445 AWS: BUSINESS OVERVIEW
- TABLE 446 AWS: PRODUCTS OFFERED
- TABLE 447 AWS: PRODUCT LAUNCHES AND ENHANCEMENTS
- TABLE 448 AWS: DEALS
- TABLE 449 AWS: OTHERS
- TABLE 450 INTEL: BUSINESS OVERVIEW
- TABLE 451 INTEL: PRODUCTS OFFERED
- TABLE 452 INTEL: PRODUCT LAUNCHES AND ENHANCEMENTS
- TABLE 453 INTEL: DEALS
- TABLE 454 SALESFORCE: BUSINESS OVERVIEW
- TABLE 455 SALESFORCE: PRODUCTS OFFERED
- TABLE 456 SALESFORCE: SERVICES OFFERED
- TABLE 457 SALESFORCE: PRODUCT LAUNCHES AND ENHANCEMENTS
- TABLE 458 SALESFORCE: DEALS
- TABLE 459 SAP: BUSINESS OVERVIEW
- TABLE 460 SAP: PRODUCTS OFFERED
- TABLE 461 SAP: SERVICES OFFERED
- TABLE 462 SAP: PRODUCT LAUNCHES AND ENHANCEMENTS
- TABLE 463 SAP: DEALS
- TABLE 464 CISCO: BUSINESS OVERVIEW
- TABLE 465 CISCO: PRODUCTS OFFERED
- TABLE 466 CISCO: SERVICES OFFERED
- TABLE 467 CISCO: PRODUCT LAUNCHES AND ENHANCEMENTS
- TABLE 468 CISCO: DEALS
- TABLE 469 META: BUSINESS OVERVIEW
- TABLE 470 META: PRODUCTS OFFERED
- TABLE 471 META: PRODUCT LAUNCHES AND ENHANCEMENTS
- TABLE 472 META: DEALS
- TABLE 473 HPE: BUSINESS OVERVIEW
- TABLE 474 HPE: PRODUCTS OFFERED
- TABLE 475 HPE: PRODUCT LAUNCHES AND ENHANCEMENTS
- TABLE 476 HPE: DEALS
- TABLE 477 SIEMENS: BUSINESS OVERVIEW
- TABLE 478 SIEMENS: PRODUCTS OFFERED
- TABLE 479 SIEMENS: PRODUCT LAUNCHES AND ENHANCEMENTS
- TABLE 480 SIEMENS: DEALS
- TABLE 481 NVIDIA: BUSINESS OVERVIEW
- TABLE 482 NVIDIA: PRODUCTS OFFERED
- TABLE 483 NVIDIA: PRODUCT LAUNCHES AND ENHANCEMENTS
- TABLE 484 NVIDIA: DEALS
- TABLE 485 BAIDU: BUSINESS OVERVIEW
- TABLE 486 BAIDU: PRODUCTS OFFERED
- TABLE 487 BAIDU: SERVICES OFFERED
- TABLE 488 BAIDU: PRODUCT LAUNCHES AND ENHANCEMENTS
- TABLE 489 BAIDU: DEALS
- 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
- TABLE 495 OPENAI: BUSINESS OVERVIEW
- TABLE 496 OPENAI: PRODUCTS/SOLUTIONS/SERVICES OFFERED
- TABLE 497 OPENAI: PRODUCT LAUNCHES AND ENHANCEMENTS
- TABLE 498 OPENAI: DEALS
- 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
- TABLE 503 IFLYTEK: BUSINESS OVERVIEW
- TABLE 504 IFLYTEK: PRODUCTS OFFERED
- TABLE 505 IFLYTEK: PRODUCT LAUNCHES AND ENHANCEMENTS
- TABLE 506 IFLYTEK: DEALS
- TABLE 507 HUAWEI: BUSINESS OVERVIEW
- TABLE 508 HUAWEI: PRODUCTS OFFERED
- TABLE 509 HUAWEI: PRODUCT LAUNCHES AND ENHANCEMENTS
- TABLE 510 HUAWEI: DEALS
- 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
- 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)
- TABLE 517 GENERATIVE AI MARKET, BY OFFERING, 2019–2022 (USD MILLION)
- TABLE 518 GENERATIVE AI MARKET, BY OFFERING, 2023–2028 (USD MILLION)
- TABLE 519 GENERATIVE AI MARKET, BY APPLICATION, 2019–2022 (USD MILLION)
- TABLE 520 GENERATIVE AI MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
- TABLE 521 GENERATIVE AI MARKET, BY VERTICAL, 2019–2022 (USD MILLION)
- TABLE 522 GENERATIVE AI MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
- TABLE 523 GENERATIVE AI MARKET, BY REGION, 2019–2022 (USD MILLION)
- TABLE 524 GENERATIVE AI MARKET, BY REGION, 2023–2028 (USD MILLION)
- TABLE 525 CONVERSATIONAL AI MARKET, BY OFFERING, 2018–2022 (USD MILLION)
- TABLE 526 CONVERSATIONAL AI MARKET BY OFFERING, 2023–2028 (USD MILLION)
- TABLE 527 CONVERSATIONAL AI MARKET, BY BUSINESS FUNCTION, 2018–2022 (USD MILLION)
- TABLE 528 CONVERSATIONAL AI MARKET, BY BUSINESS FUNCTION, 2023–2028 (USD MILLION)
- TABLE 529 CONVERSATIONAL AI MARKET, BY CHANNEL, 2018–2022 (USD MILLION)
- TABLE 530 CONVERSATIONAL AI MARKET, BY CHANNEL, 2023–2028 (USD MILLION)
- TABLE 531 CONVERSATIONAL AI MARKET, BY CONVERSATIONAL INTERFACE, 2018–2022 (USD MILLION)
- TABLE 532 CONVERSATIONAL AI MARKET, BY CONVERSATIONAL INTERFACE, 2023–2028 (USD MILLION)
- TABLE 533 CONVERSATIONAL AI MARKET, BY TECHNOLOGY, 2018–2022 (USD MILLION)
- TABLE 534 CONVERSATIONAL AI MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION)
- TABLE 535 CONVERSATIONAL AI MARKET, BY VERTICAL, 2018–2022 (USD MILLION)
- TABLE 536 CONVERSATIONAL AI MARKET BY VERTICAL, 2023–2028 (USD MILLION)
- TABLE 537 CONVERSATIONAL AI MARKET, BY REGION, 2018–2022 (USD MILLION)
- TABLE 538 CONVERSATIONAL AI MARKET, BY REGION, 2023–2028 (USD MILLION)
- FIGURE 1 RESEARCH DESIGN
- FIGURE 2 DATA TRIANGULATION
- FIGURE 3 TOP-DOWN AND BOTTOM-UP APPROACHES
- 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
- 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 IN 2023
- FIGURE 15 MACHINE LEARNING TO BE MOST PREFERRED TECHNOLOGY IN ARTIFICIAL INTELLIGENCE MARKET IN 2023
- FIGURE 16 DEEP LEARNING TO DOMINATE AMONG MACHINE LEARNING TECHNOLOGIES IN ARTIFICIAL INTELLIGENCE MARKET IN 2023
- FIGURE 17 NATURAL LANGUAGE UNDERSTANDING TO BE PREFERRED OVER GENERATION IN ARTIFICIAL INTELLIGENCE MARKET IN 2023
- FIGURE 18 MARKETING & SALES TO BE LEADING BUSINESS FUNCTION IN ARTIFICIAL INTELLIGENCE 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
- FIGURE 21 RISING INVESTMENTS IN ARTIFICIAL INTELLIGENCE RESEARCH & DEVELOPMENT TO DRIVE MARKET GROWTH
- FIGURE 22 ARTIFICIAL INTELLIGENCE MARKET TO WITNESS MINOR DECLINE IN Y-O-Y GROWTH IN 2023
- FIGURE 23 MARKETING & SALES BUSINESS FUNCTION TO ACCOUNT FOR LARGEST ARTIFICIAL INTELLIGENCE MARKET DURING FORECAST PERIOD
- FIGURE 24 SOFTWARE AND BFSI TO LEAD RESPECTIVE SEGMENTS IN ARTIFICIAL INTELLIGENCE MARKET IN 2023
- FIGURE 25 NORTH AMERICA TO DOMINATE ARTIFICIAL INTELLIGENCE MARKET IN 2023
- FIGURE 26 DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES: ARTIFICIAL INTELLIGENCE MARKET
- FIGURE 27 MILESTONES OF ARTIFICIAL INTELLIGENCE
- FIGURE 28 ARTIFICIAL INTELLIGENCE ECOSYSTEM (PART 1/2)
- FIGURE 29 ARTIFICIAL INTELLIGENCE ECOSYSTEM (PART 2/2)
- FIGURE 30 ARTIFICIAL INTELLIGENCE: VALUE CHAIN ANALYSIS
- FIGURE 31 ARTIFICIAL INTELLIGENCE MARKET: PORTER’S FIVE FORCES ANALYSIS
- FIGURE 32 AVERAGE SELLING PRICES OF KEY COMPANIES (USD)
- FIGURE 33 ANNUAL NUMBER OF PATENTS GRANTED, 2013–2023
- FIGURE 34 TOP TEN PATENT APPLICANT COMPANIES, 2013–2023
- FIGURE 35 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE VERTICALS
- FIGURE 36 KEY BUYING CRITERIA FOR TOP THREE VERTICALS
- FIGURE 37 ARTIFICIAL INTELLIGENCE MARKET: TRENDS/DISRUPTIONS IMPACTING BUYERS/CLIENTS
- FIGURE 38 BUSINESS MODELS OF ARTIFICIAL INTELLIGENCE MARKET
- FIGURE 39 ARTIFICIAL INTELLIGENCE SERVICES TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
- FIGURE 40 ACCELERATORS TO WITNESS HIGHEST CAGR IN ARTIFICIAL INTELLIGENCE HARDWARE MARKET
- FIGURE 41 FIELD PROGRAMMABLE GATE ARRAYS TO BE FASTEST-GROWING ARTIFICIAL INTELLIGENCE PROCESSORS MARKET
- FIGURE 42 PRE-TRAINED MODELS SEGMENT TO BE LARGEST MARKET DURING FORECAST PERIOD
- FIGURE 43 CLOUD DEPLOYMENT TO GROW AT HIGHER CAGR DURING FORECAST PERIOD
- FIGURE 44 MANAGED SERVICES TO GROW AT HIGHER CAGR DURING FORECAST PERIOD
- FIGURE 45 SUPPORT & MAINTENANCE SEGMENT TO GROW AT HIGHER CAGR DURING FORECAST PERIOD
- FIGURE 46 COMPUTER VISION TECHNOLOGY TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
- FIGURE 47 REINFORCEMENT LEARNING TO BE FASTEST-GROWING MACHINE LEARNING TECHNOLOGY DURING FORECAST PERIOD
- FIGURE 48 NATURAL LANGUAGE GENERATION TO GROW AT HIGHER CAGR DURING FORECAST PERIOD
- FIGURE 49 SUPPLY CHAIN MANAGEMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
- FIGURE 50 HEALTHCARE & LIFE SCIENCES TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
- FIGURE 51 INDIA TO ACCOUNT FOR HIGHEST CAGR DURING FORECAST PERIOD
- FIGURE 52 ASIA PACIFIC TO ACCOUNT FOR HIGHEST CAGR DURING FORECAST PERIOD
- FIGURE 53 NORTH AMERICA: MARKET SNAPSHOT
- FIGURE 54 ASIA PACIFIC: MARKET SNAPSHOT
- FIGURE 55 HISTORICAL REVENUE ANALYSIS OF TOP PLAYERS, 2020–2022 (USD MILLION)
- FIGURE 56 MARKET SHARE ANALYSIS FOR KEY COMPANIES, 2022
- FIGURE 57 KEY ARTIFICIAL INTELLIGENCE MARKET PLAYERS, COMPANY EVALUATION QUADRANT, 2022
- FIGURE 58 STARTUPS/SMES ARTIFICIAL INTELLIGENCE PLAYERS, COMPANY EVALUATION QUADRANT, 2022
- FIGURE 59 VALUATION AND FINANCIAL METRICS OF KEY VENDORS, 2023
- FIGURE 60 YEAR-TO-DATE (YTD) PRICE TOTAL RETURN AND STOCK BETA OF KEY VENDORS
- FIGURE 61 GOOGLE: COMPANY SNAPSHOT
- FIGURE 62 MICROSOFT: COMPANY SNAPSHOT
- FIGURE 63 IBM: COMPANY SNAPSHOT
- FIGURE 64 ORACLE: COMPANY SNAPSHOT
- FIGURE 65 AWS: COMPANY SNAPSHOT
- FIGURE 66 INTEL: COMPANY SNAPSHOT
- FIGURE 67 SALESFORCE: COMPANY SNAPSHOT
- FIGURE 68 SAP: COMPANY SNAPSHOT
- FIGURE 69 CISCO: COMPANY SNAPSHOT
- FIGURE 70 META: COMPANY SNAPSHOT
- FIGURE 71 HPE: COMPANY SNAPSHOT
- FIGURE 72 SIEMENS: COMPANY SNAPSHOT
- FIGURE 73 NVIDIA: COMPANY SNAPSHOT
- FIGURE 74 BAIDU: COMPANY SNAPSHOT
A wide range of secondary sources directories journals and subscription databases were used in the Artificial Intelligence (Al) market research study. Advisory services third-party service providers preferred artificial intelligence providers and industry experts from the core and related industries made up most of the primary sources. suppliers’ final consumers and additional business organizations. Comprehensive interviews were carried out with a range of primary respondents comprising prominent industry players and subject matter experts to gather and validate crucial qualitative and quantitative data and evaluate the markets potential.
Secondary Research
In the secondary research process, various sources were referred to, for identifying and collecting information for this study. Secondary sources included annual reports, press releases, and investor presentations of companies; white papers, journals, and certified publications; and articles from recognized authors, directories, and databases. The data was also collected from other secondary sources, such as journals, government websites, blogs, and vendors' websites. Additionally, artificial intelligence spending of various countries was extracted from the respective sources. Secondary research was mainly used to obtain key information related to the industry’s value chain and supply chain to identify key players based on solutions, services, market classification, and segmentation according to offerings of major players, industry trends related to software, hardware, services, deployment mode, technology, business function, verticals, and regions, and key developments from both market- and technology-oriented perspectives.
Primary Research
In the primary research process, various primary sources from both the supply and demand sides were interviewed to obtain qualitative and quantitative information on the market. The primary sources from the supply side included various industry experts, including Chief Experience Officers (CXOs); Vice Presidents (VPs); directors from business development, marketing, and artificial intelligence expertise; related key executives from artificial intelligence solution vendors, SIs, professional service providers, and industry associations; and key opinion leaders.
Primary interviews were conducted to gather insights, such as market statistics, revenue data collected from solutions and services, market breakups, market size estimations, market forecasts, and data triangulation. Primary research also helped in understanding various trends related to technologies, applications, deployments, and regions. Stakeholders from the demand side, such as Chief Information Officers (CIOs), Chief Technology Officers (CTOs), Chief Strategy Officers (CSOs), and end users using artificial intelligence solutions, were interviewed to understand the buyer’s perspective on suppliers, products, service providers, and their current usage of artificial intelligence solutions and services, which would impact the overall artificial intelligence market.
To know about the assumptions considered for the study, download the pdf brochure
Market Size Estimation
Multiple approaches were adopted for estimating and forecasting the artificial intelligence market. The first approach involves estimating the market size by summation of companies’ revenue generated through the sale of solutions and services.
Market Size Estimation Methodology-Top-down approach
In the top-down approach, an exhaustive list of all the vendors offering solutions and services in the artificial intelligence market was prepared. The revenue contribution of the market vendors was estimated through annual reports, press releases, funding, investor presentations, paid databases, and primary interviews. Each vendor's offerings were evaluated based on breadth of hardware, software and services according to technologies, business functions, deployment modes, and verticals. The aggregate of all the companies’ revenue was extrapolated to reach the overall market size. Each subsegment was studied and analyzed for its global market size and regional penetration. The markets were triangulated through both primary and secondary research. The primary procedure included extensive interviews for key insights from industry leaders, such as CIOs, CEOs, VPs, directors, and marketing executives. The market numbers were further triangulated with the existing MarketsandMarkets’ repository for validation.
Market Size Estimation Methodology-Bottom-up approach
In the bottom-up approach, the adoption rate of artificial intelligence solutions and services among different end users in key countries with respect to their regions contributing the most to the market share was identified. For cross-validation, the adoption of artificial intelligences solutions and services among industries, along with different use cases with respect to their regions, was identified and extrapolated. Weightage was given to use cases identified in different regions for the market size calculation.
Based on the market numbers, the regional split was determined by primary and secondary sources. The procedure included the analysis of the artificial intelligence market’s regional penetration. Based on secondary research, the regional spending on Information and Communications Technology (ICT), socio-economic analysis of each country, strategic vendor analysis of major artificial intelligences providers, and organic and inorganic business development activities of regional and global players were estimated. With the data triangulation procedure and data validation through primary interviews, the exact values of the overall artificial intelligence market size and segments’ size were determined and confirmed using the study.
Global Artificial Intelligence Market Size: Bottom-Up and Top-Down Approach:
Data Triangulation
After arriving at the overall market size using the market size estimation processes as explained above, the market was split into several segments and subsegments. To complete the overall market engineering process and arrive at the exact statistics of each market segment and subsegment, data triangulation and market breakup procedures were employed, wherever applicable. The overall market size was then used in the top-down procedure to estimate the size of other individual markets via percentage splits of the market segmentation.
Market Definition
Artificial Intelligence (AI) refers to algorithms and computational models that enable machines to perform cognitive functions typically associated with human intelligence. These functions include, but are not limited to, natural language processing (NLP), machine learning (ML), computer vision, and decision-making. AI systems leverage advanced techniques such as deep learning, reinforcement learning, and probabilistic reasoning to process data, recognize patterns, and make autonomous decisions or provide predictive analytics. These systems are designed to improve over time through iterative training and adaptation, often utilizing large-scale data and high-performance computing infrastructure to optimize performance and accuracy.
Stakeholders
- Artificial intelligence software developers
- Artificial intelligence hardware vendors
- Business analysts
- Cloud service providers
- Consulting service providers
- Enterprise end-users
- Distributors and Value-added Resellers (VARs)
- Government agencies
- Independent Software Vendors (ISV)
- Managed service providers
- Market research and consulting firms
- Support & maintenance service providers
- System Integrators (SIs)/migration service providers
- Technology providers
Report Objectives
- To define, describe, and predict the artificial intelligence market by offering (hardware, software and services), technology, business function, vertical, and region
- To provide detailed information related to major factors (drivers, restraints, opportunities, and industry-specific challenges) influencing the market growth
- To analyze the micro markets with respect to individual growth trends, prospects, and their contribution to the total market
- To analyze the opportunities in the market for stakeholders by identifying the high-growth segments of the artificial intelligence market
- To analyze opportunities in the market and provide details of the competitive landscape for stakeholders and market leaders
- To forecast the market size of segments for five main regions: North America, Europe, Asia Pacific, Middle East Africa, and Latin America
- To profile key players and comprehensively analyze their market rankings and core competencies.
- To analyze competitive developments, such as partnerships, new product launches, and mergers and acquisitions, in the artificial intelligence market
- To analyze the impact of recession across all the regions across the artificial intelligence market
Available Customizations
With the given market data, MarketsandMarkets offers customizations as per your company’s specific needs. The following customization options are available for the report:
Product Analysis
- Product quadrant, which gives a detailed comparison of the product portfolio of each company.
Geographic Analysis
- Further breakup of the North American artificial intelligence market
- Further breakup of the European artificial intelligence market
- Further breakup of the Asia Pacific artificial intelligence market
- Further breakup of the Middle Eastern & African artificial intelligence market
- Further breakup of the Latin America artificial intelligence market
Company Information
- Detailed analysis and profiling of additional market players (up to five)
Growth opportunities and latent adjacency in Artificial Intelligence (AI) Market