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Artificial Intelligence (AI) Market by Offering (Infrastructure, Software, Services), Technology (ML, NLP, Generative AI), Business Function (Operations & Supply Chain, Finance & Accounting), Enterprise Application, and End User - Global Forecast to 2032
Market Report I 2025-04-28 I 849 Pages I MarketsandMarkets
The AI market is projected to grow from USD 371.71 billion in 2025 to USD 2,407.02 billion in 2032, at a CAGR of 30.6% during 2025-2032. The AI market is driven by advancements in generative AI and large language models, fueling innovations in hyper-personalization for customer engagement and AI-assisted decision-making. These technologies enable businesses to enhance customer experiences and make data-driven decisions. However, the market faces significant restraints, including challenges related to data availability and quality, which impact model performance. Additionally, AI's high energy consumption and environmental impact raise concerns, especially with large-scale deployments, hindering widespread adoption and sustainability in industries looking to implement AI solutions efficiently.
"By infrastructure, the networking hardware segment is expected to register the highest growth rate during the forecast period."
Networking hardware is set to be the fastest-growing segment in the AI market due to the increasing demand for high-speed, low-latency communication between AI systems, data centers, and edge devices. AI workloads, such as training large models and real-time data processing, require a robust and efficient networking infrastructure to handle vast amounts of data with minimal delay. Use cases like autonomous vehicles, where real-time data from sensors needs to be processed and communicated quickly, and edge AI deployments in manufacturing, where quick data transmission between devices and centralized systems is crucial, highlight the need for advanced networking hardware. Additionally, the growth of cloud-based AI solutions and the demand for AI in IoT applications are further driving the need for scalable, high-performance networking hardware to support these evolving technologies.
"By business function, marketing and sales is expected to account for the largest market share during the forecast period."
Marketing and sales are expected to dominate the AI market share, driven by AI's transformative impact on customer engagement and sales efficiency. AI enables hyper-personalized marketing, predictive analytics, and automation, leading to improved customer experiences and increased revenue. For instance, companies like Delta Air Lines and Mars utilize AI to optimize advertising strategies, resulting in substantial sales growth. Additionally, AI-powered tools like chatbots and predictive lead scoring enhance sales processes, boosting conversion rates and productivity. The integration of AI in marketing and sales not only streamlines operations but also delivers measurable returns on investment, solidifying its position as a key driver in the AI market.
"By region, North America to have the largest market share in 2025, and Asia Pacific is slated to grow at the highest rate during the forecast period."
North America continues to dominate the AI market, driven by substantial investments from major tech companies and supportive government policies. Companies like Nvidia and AMD are at the forefront, developing advanced AI hardware and software solutions. AI adoption across sectors such as predictive analytics in healthcare, personalized customer service in retail, and intelligent automation in finance continues to drive momentum. North America's strong emphasis on public-private collaboration, digital transformation, and AI education also contributes to its dominant market position. In January 2025, President Trump signed Executive Order 14179, aiming to enhance US leadership in AI by removing certain regulatory barriers and promoting AI development free from ideological bias. Additionally, Microsoft's USD 3.3 billion investment in an AI hub in Wisconsin underscores the region's ongoing commitment to AI advancement.
Asia Pacific is experiencing the fastest growth in the AI market, driven by proactive government policies, increasing digital transformation, and heavy investments by regional tech leaders. In China, companies like Baidu, Alibaba, and Tencent are advancing AI across sectors, including autonomous driving, e-commerce, and healthcare. The Chinese government has introduced clear frameworks for generative AI services, providing regulatory clarity that supports innovation. Meanwhile, India has launched the IndiaAI initiative and recently established the IndiaAI Safety Institute to boost domestic R&D and ensure safe AI deployment. Countries across the region are leveraging AI for smart manufacturing, intelligent logistics, and advanced language processing. As digital economies mature and AI integration deepens, Asia Pacific is poised to be a global hotspot for AI innovation.
Breakdown of primaries
In-depth interviews were conducted with Chief Executive Officers (CEOs), innovation and technology directors, system integrators, and executives from various key organizations operating in the AI market.
- By Company: Tier I - 38%, Tier II - 27%, and Tier III - 35%
- By Designation: C-Level Executives - 33%, D-Level Executives - 40%, and others - 27%
- By Region: North America - 41%, Europe - 36%, Asia Pacific - 14%, Middle East & Africa - 5%, and Latin America - 4%
The report includes the study of key players offering AI solutions. It profiles major vendors in the AI market. The major players in the AI market include Microsoft (US), IBM (US), Google (US), Oracle (US), AWS (US), NVIDIA (US), Meta (US), Salesforce (US), OpenAI (US), Oracle (US), Intel (US), SAP (Germany), AMD (US), Qualcomm (US), Cisco (US), HPE (US), Siemens (Germany), Baidu (China), SAS Institute (US), Huawei (China), Alibaba Cloud (China), Centific (US), Fractal Analytics (US), Tiger Analytics (US), Quantiphi (US), databricks (US), iMerit (US), Telus International (US), Innodata (US), and Sama (US).
Research coverage
This research report categorizes the AI market by Offering (Infrastructure, Software, and Services), Technology (Machine Learning, Natural Language Processing, Computer Vision, Context-aware Artificial Intelligence (CAAI), and Generative AI), Business Function (Marketing and Sales, Human Resources, Finance and Accounting, Operations & Supply Chain, and Other Business Functions), Enterprise Application (BFSI, Transportation & Logistics, Government & Defense, Healthcare & Life Sciences, Telecommunication, Energy & Utilities, Manufacturing, Agriculture, Software & Technology Providers, Media & Entertainment, and Other Enterprise Applications), End User (Consumers and Enterprises [BFSI, Retail & E-commerce, Transportation & Logistics, Government & Defense, Healthcare & Life Sciences, Telecommunications, Energy & Utilities, Manufacturing, Education, Software & Technology Providers, Media & Entertainment, and Other Enterprises]), and Region (North America, Europe, Asia Pacific, Middle East & Africa, and Latin America). The scope of the report covers detailed information regarding the major factors, such as drivers, restraints, challenges, and opportunities, influencing the growth of the AI market. A detailed analysis of the key industry players has been done to provide insights into their business overview, solutions, and services; key strategies; contracts, partnerships, agreements, product & service launches, mergers and acquisitions, and recent developments associated with the AI market. This report covers a competitive analysis of upcoming startups in the AI market ecosystem.
Key Benefits of Buying the Report
The report would provide the market leaders/new entrants in this market with information on the closest approximations of the revenue numbers for the overall AI market and its subsegments. It would help stakeholders understand the competitive landscape and gain more insights better to position their business and plan suitable go-to-market strategies. It also helps stakeholders understand the pulse of the market and provides them with information on key market drivers, restraints, challenges, and opportunities.
The report provides insights on the following pointers:
- Analysis of key drivers (Growth in adoption of autonomous artificial intelligence, Rise of deep learning and machine learning technologies, and advancements in computing power and availability of large databases), restraints (Increasing concerns over IP ownership and legal risks in generative AI-generated content, Cost and complexity of aligning models with enterprise-specific compliance and governance policies, and fragmentation in AI toolchains and lack of standardized evaluation frameworks for enterprise readiness), opportunities (Advancements in AI-native infrastructure enhancing scalability and performance, Expansion of edge AI capabilities for real-time data processing and decision-making, and advancements in generative AI to open new avenues for AI-powered content creation), and challenges (Lack of transparency and explainability in decision-making process of AI, Concerns related to bias and inaccurately generated output, and integration challenges and lack of understanding of state-of-the-art systems).
Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and product & service launches in the AI market.
Market Development: Comprehensive information about lucrative markets - the report analyzes the AI market across varied regions.
Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in the AI market.
Competitive Assessment: In-depth assessment of market shares, growth strategies and service offerings of leading players like Microsoft (US), IBM (US), Google (US), Oracle (US), AWS (US), NVIDIA (US), Meta (US), Salesforce (US), OpenAI (US), Oracle (US), Intel (US), SAP (Germany), AMD (US), Qualcomm (US), Cisco (US), HPE (US), Siemens (Germany), Baidu (China), SAS Institute (US), Huawei (China), Alibaba Cloud (China), Centific (US), Fractal Analytics (US), Tiger Analytics (US), Quantiphi (US), databricks (US), iMerit (US), Telus International (US), Innodata (US), and Sama (US), among others in the AI market. The report also helps stakeholders understand the pulse of the AI market and provides them with information on key market drivers, restraints, challenges, and opportunities.
1 INTRODUCTION 67
1.1 STUDY OBJECTIVES 67
1.2 MARKET DEFINITION 67
1.2.1 INCLUSIONS AND EXCLUSIONS 68
1.3 MARKET SCOPE 69
1.3.1 MARKET SEGMENTATION 70
1.3.2 YEARS CONSIDERED 76
1.4 CURRENCY CONSIDERED 77
1.5 STAKEHOLDERS 77
1.6 SUMMARY OF CHANGES 78
2 RESEARCH METHODOLOGY 79
2.1 RESEARCH DATA 79
2.1.1 SECONDARY DATA 81
2.1.2 PRIMARY DATA 81
2.1.2.1 Breakup of primary profiles 82
2.1.2.2 Key industry insights 83
2.2 MARKET BREAKUP AND DATA TRIANGULATION 84
2.3 MARKET SIZE ESTIMATION 85
2.3.1 TOP-DOWN APPROACH 85
2.3.2 BOTTOM-UP APPROACH 86
2.4 MARKET FORECAST 90
2.5 RESEARCH ASSUMPTIONS 91
2.6 STUDY LIMITATIONS 93
3 EXECUTIVE SUMMARY 94
4 PREMIUM INSIGHTS 101
4.1 ATTRACTIVE OPPORTUNITIES IN ARTIFICIAL INTELLIGENCE MARKET 101
4.2 ARTIFICIAL INTELLIGENCE MARKET: TOP THREE TECHNOLOGIES 102
4.3 NORTH AMERICA: ARTIFICIAL INTELLIGENCE MARKET,
BY OFFERING AND ENTERPRISE APPLICATION 102
4.4 ARTIFICIAL INTELLIGENCE MARKET, BY REGION 103
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5 MARKET OVERVIEW AND INDUSTRY TRENDS 104
5.1 INTRODUCTION 104
5.2 MARKET DYNAMICS 104
5.2.1 DRIVERS 105
5.2.1.1 Growth in adoption of autonomous artificial intelligence 105
5.2.1.2 Rise of deep learning and machine learning technologies 105
5.2.1.3 Advancements in computing power and availability of large databases 106
5.2.2 RESTRAINTS 106
5.2.2.1 Increasing concerns over IP ownership and legal risks in generative AI-generated content 106
5.2.2.2 Cost and complexity of aligning models with enterprise-specific compliance and governance policies 106
5.2.2.3 Fragmentation in AI toolchains and lack of standardized evaluation frameworks for enterprise readiness 107
5.2.3 OPPORTUNITIES 107
5.2.3.1 Advancements in AI-native infrastructure enhancing scalability and performance 107
5.2.3.2 Expansion of edge AI capabilities for real-time data processing and decision-making 107
5.2.3.3 Advancements in generative AI to open new avenues for AI-powered content creation 108
5.2.4 CHALLENGES 108
5.2.4.1 Lack of transparency and explainability in decision-making process of AI 108
5.2.4.2 Concerns related to bias and inaccurately generated output 109
5.2.4.3 Integration challenges and lack of understanding of state-of-the-art systems 109
5.3 ARTIFICIAL INTELLIGENCE MARKET: EVOLUTION 110
5.4 SUPPLY CHAIN ANALYSIS 112
5.5 ECOSYSTEM ANALYSIS 114
5.5.1 ARTIFICIAL INTELLIGENCE HARDWARE PROVIDERS 117
5.5.2 ARTIFICIAL INTELLIGENCE SOFTWARE PROVIDERS 117
5.5.3 ARTIFICIAL INTELLIGENCE SERVICE PROVIDERS 117
5.6 IMPACT OF 2025 US TARIFF - ARTIFICIAL INTELLIGENCE (AI) MARKET 117
5.6.1 INTRODUCTION 117
5.6.2 KEY TARIFF RATES 118
5.6.3 PRICE IMPACT ANALYSIS 119
5.6.3.1 Strategic Shifts and Emerging Trends 119
5.6.4 IMPACT ON COUNTRY/REGION 120
5.6.4.1 US 120
5.6.4.1.1 Strategic Shifts and Key Observations 120
5.6.4.2 China 121
5.6.4.2.1 Strategic Shifts and Key Observations 121
5.6.4.3 Europe 122
5.6.4.3.1 Strategic Shifts and Key Observations 122
5.6.4.4 Asia Pacific (excluding China) 123
5.6.4.4.1 Strategic Shifts and Key Observations 123
5.6.5 IMPACT ON END-USE INDUSTRIES 124
5.6.5.1 BFSI 124
5.6.5.2 Healthcare & Life Sciences 124
5.6.5.3 Manufacturing 124
5.6.5.4 Retail & E-commerce 124
5.6.5.5 Telecommunications 125
5.6.5.6 Transportation & Logistics 125
5.6.5.7 Software & Technology Providers 125
5.6.5.8 Energy & Utilities 126
5.7 INVESTMENT LANDSCAPE AND FUNDING SCENARIO 126
5.8 CASE STUDY ANALYSIS 130
5.8.1 IBM AND VODAFONE: TRANSFORMING CUSTOMER ENGAGEMENT WITH AI-POWERED VIRTUAL ASSISTANT TOBI 130
5.8.2 MICROSOFT AND MARS: ADVANCING SUPPLY CHAIN OPTIMIZATION WITH AZURE MACHINE LEARNING 131
5.8.3 NVIDIA AND PERPLEXITY AI: BOOSTING MODEL PERFORMANCE AND COST EFFICIENCY WITH NEMO FRAMEWORK 131
5.8.4 OPENAI AND NOTION: POWERING INTELLIGENT PRODUCTIVITY WITH EMBEDDED AI ASSISTANTS 132
5.8.5 GOOGLE CLOUD AND GE APPLIANCES: DELIVERING PERSONALIZED COOKING EXPERIENCES WITH GENERATIVE AI 132
5.9 TECHNOLOGY ANALYSIS 133
5.9.1 KEY TECHNOLOGIES 133
5.9.1.1 Generative AI 133
5.9.1.2 Autonomous AI & Autonomous Agents 133
5.9.1.3 AutoML 134
5.9.1.4 Causal AI 134
5.9.1.5 MLOps 134
5.9.2 COMPLEMENTARY TECHNOLOGIES 135
5.9.2.1 Blockchain 135
5.9.2.2 Edge Computing 135
5.9.2.3 Sensors and Robotics 135
5.9.2.4 Cybersecurity 136
5.9.3 ADJACENT TECHNOLOGIES 136
5.9.3.1 Predictive Analytics 136
5.9.3.2 IoT 136
5.9.3.3 Big Data 137
5.9.3.4 Augmented Reality/Virtual Reality 137
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5.10 TARIFF AND REGULATORY LANDSCAPE 138
5.10.1 TARIFF RELATED TO PROCESSORS AND CONTROLLERS (HSN: 854231) 138
5.10.2 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 140
5.10.3 REGULATIONS: ARTIFICIAL INTELLIGENCE 143
5.10.3.1 North America 143
5.10.3.1.1 SCR 17: Artificial Intelligence Bill (California) 143
5.10.3.1.2 S1103: Artificial Intelligence Automated Decision Bill (Connecticut) 143
5.10.3.1.3 National Artificial Intelligence Initiative Act (NAIIA) 144
5.10.3.1.4 The Artificial Intelligence and Data Act (AIDA) - Canada 144
5.10.3.2 Europe 145
5.10.3.2.1 The European Union (EU) - Artificial Intelligence Act (AIA) 145
5.10.3.2.2 General Data Protection Regulation (Europe) 145
5.10.3.3 Asia Pacific 146
5.10.3.3.1 Interim Administrative Measures for Generative Artificial Intelligence Services (China) 146
5.10.3.3.2 The National AI Strategy (Singapore) 146
5.10.3.3.3 The Hiroshima AI Process Comprehensive Policy Framework (Japan) 147
5.10.3.4 Middle East & Africa 147
5.10.3.4.1 The National Strategy for Artificial Intelligence (UAE) 147
5.10.3.4.2 The National Artificial Intelligence Strategy (Qatar) 148
5.10.3.4.3 The AI Ethics Principles and Guidelines (Dubai) 148
5.10.3.5 Latin America 148
5.10.3.5.1 The Santiago Declaration (Chile) 148
5.10.3.5.2 The Brazilian Artificial Intelligence Strategy (EBIA) 149
5.11 PATENT ANALYSIS 150
5.11.1 METHODOLOGY 150
5.11.2 PATENTS FILED, BY DOCUMENT TYPE 150
5.11.3 INNOVATION AND PATENT APPLICATIONS 150
5.12 PRICING ANALYSIS 154
5.12.1 AVERAGE SELLING PRICE OF OFFERING, BY KEY PLAYER, 2025 154
5.12.2 AVERAGE SELLING PRICE, BY APPLICATION, 2025 156
5.13 TRADE ANALYSIS 157
5.13.1 EXPORT SCENARIO OF PROCESSORS AND CONTROLLERS 157
5.13.2 IMPORT SCENARIO OF PROCESSORS AND CONTROLLERS 159
5.14 KEY CONFERENCES AND EVENTS (2025-2026) 160
5.15 PORTER'S FIVE FORCES ANALYSIS 161
5.15.1 THREAT OF NEW ENTRANTS 163
5.15.2 THREAT OF SUBSTITUTES 163
5.15.3 BARGAINING POWER OF SUPPLIERS 163
5.15.4 BARGAINING POWER OF BUYERS 163
5.15.5 INTENSITY OF COMPETITIVE RIVALRY 163
5.16 KEY STAKEHOLDERS & BUYING CRITERIA 164
5.16.1 KEY STAKEHOLDERS IN BUYING PROCESS 164
5.16.2 BUYING CRITERIA 165
5.17 TRENDS/DISRUPTIONS IMPACTING CUSTOMERS' BUSINESSES 166
5.17.1 TRENDS/DISRUPTIONS IMPACTING CUSTOMERS' BUSINESSES 166
6 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING 167
6.1 INTRODUCTION 168
6.1.1 OFFERING: ARTIFICIAL INTELLIGENCE MARKET DRIVERS 168
6.2 INFRASTRUCTURE, BY TYPE 170
6.2.1 AI MARKET GROWTH DRIVEN BY ROBUST INFRASTRUCTURE 170
6.2.2 COMPUTE 171
6.2.2.1 Graphics Processing Unit (GPU) 172
6.2.2.2 Central Processing Unit (CPU) 173
6.2.2.3 Field-programmable Gate Array (FPGA) 174
6.2.3 MEMORY 175
6.2.3.1 Double Data Rate (DDR) 176
6.2.3.2 High Bandwidth Memory (HBM) 177
6.2.4 NETWORKING HARDWARE 178
6.2.4.1 NIC/Network Adapters 178
6.2.4.1.1 Ethernet 179
6.2.4.1.2 InfiniBand 180
6.2.4.2 Interconnects 181
6.2.5 STORAGE 182
6.3 INFRASTRUCTURE, BY FUNCTION 183
6.3.1 INFERENCE INFRASTRUCTURE IN HIGH DEMAND AS ORGANIZATIONS MOVE TOWARD REAL-WORLD IMPLEMENTATION 183
6.3.2 TRAINING 184
6.3.3 INFERENCE 185
6.4 SOFTWARE 186
6.4.1 EMPOWERING SCALABLE INTELLIGENCE WITH PURPOSE-BUILT TOOLS 186
6.4.2 DIGITAL ASSISTANT & BOTS 188
6.4.3 MACHINE LEARNING FRAMEWORKS 189
6.4.4 NO-CODE/LOW-CODE ML TOOLS 189
6.4.5 COMPUTER VISION PLATFORMS 190
6.4.6 DATA PRE-PROCESSING TOOLS 191
6.4.7 BUSINESS INTELLIGENCE & ANALYTICS PLATFORMS 192
6.4.8 DEVELOPER PLATFORMS 193
6.4.9 OTHER AI SOFTWARE 194
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6.5 SERVICES 195
6.5.1 POWERING AI SYSTEMS THROUGH STRUCTURED AND GOVERNED DATA 195
6.5.2 CORE DATA SERVICES 196
6.5.2.1 Data Collection & Ingestion 197
6.5.2.2 Data Processing & Transformation 198
6.5.2.3 Data Storage & Management 199
6.5.2.4 Data Security & Privacy 200
6.5.2.5 Data Governance & Quality Management 201
6.5.2.6 Data Integration & Interoperability 202
6.5.2.7 Data Annotation & Training Data Services 203
6.5.2.7.1 Human-in-the-loop Annotation 204
6.5.2.7.2 Automated Labeling & Augmentation 204
6.5.3 INTEGRATED SERVICES 205
6.5.3.1 AI Model Development & Deployment 206
6.5.3.2 AI Model Optimization & Fine-tuning 207
6.5.3.3 AI Security & Compliance Services 208
6.5.3.4 AI Software Development Services 209
6.5.3.5 Support & Maintenance Services 210
7 ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY 212
7.1 INTRODUCTION 213
7.1.1 TECHNOLOGY: ARTIFICIAL INTELLIGENCE MARKET DRIVERS 213
7.2 MACHINE LEARNING 214
7.2.1 STRATEGIC ROLE OF MACHINE LEARNING IN ENTERPRISE AI 214
7.2.2 SUPERVISED LEARNING 215
7.2.3 UNSUPERVISED LEARNING 216
7.2.4 REINFORCEMENT LEARNING 217
7.3 NATURAL LANGUAGE PROCESSING 218
7.3.1 UNLOCKING BUSINESS VALUE FROM UNSTRUCTURED AND MULTILINGUAL DATA 218
7.3.2 NATURAL LANGUAGE UNDERSTANDING 219
7.3.3 NATURAL LANGUAGE GENERATION 220
7.4 COMPUTER VISION AI 221
7.4.1 COMPUTER VISION AI TRANSLATES VISUAL DATA INTO REAL-TIME, ACTIONABLE INSIGHTS 221
7.4.2 OBJECT DETECTION 222
7.4.3 IMAGE CLASSIFICATION 223
7.4.4 SEMANTIC SEGMENTATION 224
7.4.5 FACIAL RECOGNITION 225
7.4.6 OTHER COMPUTER VISION AI 226
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7.5 CONTEXT-AWARE ARTIFICIAL INTELLIGENCE 227
7.5.1 VIRTUAL ASSISTANTS MAINTAIN CONTINUITY AND INTENT ACROSS INTERACTIONS AND PLATFORMS 227
7.5.2 CONTEXT-AWARE RECOMMENDATION SYSTEMS 228
7.5.3 MULTI-MODAL AI 229
7.5.4 CONTEXT-AWARE VIRTUAL ASSISTANTS 230
7.6 GENERATIVE AI 231
7.6.1 DEEP LEARNING MODELS ENABLE MACHINES TO PRODUCE CONTEXTUALLY RELEVANT AND REALISTIC OUTPUTS 231
8 ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION 233
8.1 INTRODUCTION 234
8.1.1 BUSINESS FUNCTION: ARTIFICIAL INTELLIGENCE MARKET DRIVERS 234
8.2 MARKETING & SALES 235
8.2.1 PERSONALIZING MARKETING EFFORTS THROUGH CONTENT AND AUDIENCE SEGMENTATION 235
8.2.2 SENTIMENT ANALYSIS 236
8.2.3 PREDICTIVE FORECASTING 237
8.2.4 CONTENT GENERATION & MARKETING 238
8.2.5 AUDIENCE SEGMENTATION & PERSONALIZATION 239
8.2.6 CUSTOMER EXPERIENCE MANAGEMENT 240
8.2.7 OTHER MARKETING & SALES FUNCTIONS 241
8.3 HUMAN RESOURCES 242
8.3.1 ALIGNING EMPLOYEE PERFORMANCE WITH ORGANIZATIONAL GOALS USING AI 242
8.3.2 ONBOARDING AUTOMATION 243
8.3.3 CANDIDATE SCREENING & RECRUITMENT 244
8.3.4 PERFORMANCE MANAGEMENT 245
8.3.5 WORKFORCE MANAGEMENT 246
8.3.6 EMPLOYEE FEEDBACK ANALYSIS 247
8.3.7 OTHER HUMAN RESOURCES FUNCTIONS 248
8.4 FINANCE & ACCOUNTING 249
8.4.1 ENHANCING FORECASTING AND FINANCIAL PLANNING WITH AI 249
8.4.2 FINANCIAL PLANNING & FORECASTING 251
8.4.3 AUTOMATED BOOKKEEPING & RECONCILIATION 251
8.4.4 PROCUREMENT & SUPPLY CHAIN FINANCE 252
8.4.5 REVENUE CYCLE MANAGEMENT 253
8.4.6 FINANCIAL COMPLIANCE & REGULATORY REPORTING 254
8.4.7 OTHER FINANCE & ACCOUNTING FUNCTIONS 255
8.5 OPERATIONS & SUPPLY CHAIN 256
8.5.1 ACCURATE DEMAND FORECASTING WITH AI FOR SMARTER PLANNING 256
8.5.2 AIOPS 258
8.5.3 IT SERVICE MANAGEMENT 258
8.5.4 DEMAND PLANNING & FORECASTING 259
8.5.5 PROCUREMENT & SOURCING 260
8.5.6 WAREHOUSE & INVENTORY MANAGEMENT 261
8.5.7 PRODUCTION PLANNING & SCHEDULING 262
8.5.8 OTHER OPERATIONS & SUPPLY CHAIN FUNCTIONS 263
8.6 OTHER BUSINESS FUNCTIONS 264
9 ARTIFICIAL INTELLIGENCE MARKET, BY ENTERPRISE APPLICATION 266
9.1 INTRODUCTION 267
9.1.1 ENTERPRISE APPLICATION: ARTIFICIAL INTELLIGENCE MARKET DRIVERS 267
9.2 BFSI 270
9.2.1 ADOPTION OF AI IN BFSI DRIVEN BY RISING DATA VOLUMES, REGULATORY COMPLEXITY, AND EVOLVING CUSTOMER EXPECTATIONS 270
9.2.2 FRAUD DETECTION AND PREVENTION 272
9.2.3 RISK ASSESSMENT AND MANAGEMENT 273
9.2.4 ALGORITHMIC TRADING 273
9.2.5 CREDIT SCORING AND UNDERWRITING 273
9.2.6 CUSTOMER SERVICE AUTOMATION 274
9.2.7 PERSONALIZED FINANCIAL RECOMMENDATIONS 274
9.2.8 INVESTMENT PORTFOLIO MANAGEMENT 274
9.2.9 REGULATORY COMPLIANCE MONITORING 275
9.2.10 OTHER BFSI APPLICATIONS 275
9.3 RETAIL & E-COMMERCE 275
9.3.1 PRICE OPTIMIZATION AND SUPPLY CHAIN MANAGEMENT-LIKE FUNCTIONS BEING REVOLUTIONIZED THROUGH PREDICTIVE ALGORITHMS AND REAL-TIME ANALYTICS 275
9.3.2 PERSONALIZED PRODUCT RECOMMENDATION 278
9.3.3 CUSTOMER RELATIONSHIP MANAGEMENT 278
9.3.4 VISUAL SEARCH 279
9.3.5 VIRTUAL CUSTOMER ASSISTANT 279
9.3.6 PRICE OPTIMIZATION 279
9.3.7 SUPPLY CHAIN MANAGEMENT & DEMAND PLANNING 280
9.3.8 VIRTUAL STORES 280
9.3.9 OTHER RETAIL & E-COMMERCE APPLICATIONS 280
9.4 TRANSPORTATION & LOGISTICS 281
9.4.1 SUPPLY CHAIN VISIBILITY AND TRACKING ENHANCED THROUGH AI-DRIVEN REAL-TIME MONITORING AND PREDICTIVE ANALYTICS 281
9.4.2 ROUTE OPTIMIZATION 283
9.4.3 DRIVER ASSISTANCE SYSTEM 283
9.4.4 SEMI-AUTONOMOUS & AUTONOMOUS VEHICLES 284
9.4.5 INTELLIGENT TRAFFIC MANAGEMENT 284
9.4.6 SMART LOGISTICS AND WAREHOUSING 284
9.4.7 SUPPLY CHAIN VISIBILITY AND TRACKING 284
9.4.8 FLEET MANAGEMENT 285
9.4.9 OTHER TRANSPORTATION AND LOGISTICS APPLICATIONS 285
9.5 GOVERNMENT & DEFENSE 285
9.5.1 AI STRENGTHENS COMMAND AND CONTROL SYSTEMS BY INTEGRATING DATA FOR UNIFIED OPERATIONAL VIEWS AND STRATEGIC DECISIONS 285
9.5.2 SURVEILLANCE AND SITUATIONAL AWARENESS 287
9.5.3 LAW ENFORCEMENT 288
9.5.4 INTELLIGENCE ANALYSIS AND DATA PROCESSING 288
9.5.5 SIMULATION AND TRAINING 288
9.5.6 COMMAND AND CONTROL 289
9.5.7 DISASTER RESPONSE AND RECOVERY ASSISTANCE 289
9.5.8 E-GOVERNANCE AND DIGITAL CITY SERVICES 289
9.5.9 OTHER GOVERNMENT & DEFENSE APPLICATIONS 290
9.6 HEALTHCARE & LIFE SCIENCES 290
9.6.1 AI EXTENDS ITS IMPACT INTO DRUG DISCOVERY, VIRTUAL CARE, AND MEDICAL RESEARCH 290
9.6.2 PATIENT DATA AND RISK ANALYSIS 292
9.6.3 LIFESTYLE MANAGEMENT AND MONITORING 293
9.6.4 PRECISION MEDICINE 293
9.6.5 INPATIENT CARE AND HOSPITAL MANAGEMENT 293
9.6.6 MEDICAL IMAGING AND DIAGNOSTICS 294
9.6.7 DRUG DISCOVERY 294
9.6.8 AI-ASSISTED MEDICAL SERVICES 294
9.6.9 MEDICAL RESEARCH 294
9.6.10 OTHER HEALTHCARE & LIFE SCIENCES APPLICATIONS 295
9.7 TELECOMMUNICATIONS 295
9.7.1 TELECOM OPERATORS TURNING TO AI TO ENHANCE AGILITY, REDUCE OPERATIONAL COSTS, AND DELIVER SUPERIOR USER EXPERIENCES 295
9.7.2 NETWORK OPTIMIZATION 297
9.7.3 NETWORK SECURITY 298
9.7.4 CUSTOMER SERVICE AND SUPPORT 298
9.7.5 NETWORK ANALYTICS 298
9.7.6 INTELLIGENT CALL ROUTING 298
9.7.7 NETWORK FAULT PREDICTION 299
9.7.8 VIRTUAL NETWORK ASSISTANTS 299
9.7.9 VOICE AND SPEECH RECOGNITION 299
9.7.10 OTHER TELECOMMUNICATIONS APPLICATIONS 299
9.8 ENERGY & UTILITIES 300
9.8.1 ADVANCED MACHINE LEARNING ALGORITHMS AND EDGE AI PLATFORMS ENABLING REAL-TIME OPTIMIZATION AND PREDICTIVE MAINTENANCE 300
9.8.2 ENERGY DEMAND FORECASTING 302
9.8.3 GRID OPTIMIZATION AND MANAGEMENT 302
9.8.4 ENERGY CONSUMPTION ANALYTICS 302
9.8.5 SMART METERING AND ENERGY DATA MANAGEMENT 303
9.8.6 ENERGY STORAGE OPTIMIZATION 303
9.8.7 REAL-TIME ENERGY MONITORING AND CONTROL 303
9.8.8 POWER QUALITY MONITORING AND MANAGEMENT 303
9.8.9 ENERGY TRADING AND MARKET FORECASTING 304
9.8.10 INTELLIGENT ENERGY MANAGEMENT SYSTEMS 304
9.8.11 OTHER ENERGY & UTILITIES APPLICATIONS 304
9.9 MANUFACTURING 305
9.9.1 AI SUPPORTS SUSTAINABLE MANUFACTURING THROUGH RECYCLABLE MATERIAL RECLAMATION 305
9.9.2 MATERIAL MOVEMENT MANAGEMENT 307
9.9.3 PREDICTIVE MAINTENANCE AND MACHINERY INSPECTION 307
9.9.4 PRODUCTION PLANNING 307
9.9.5 RECYCLABLE MATERIAL RECLAMATION 307
9.9.6 PRODUCTION LINE OPTIMIZATION 308
9.9.7 QUALITY CONTROL 308
9.9.8 INTELLIGENT INVENTORY MANAGEMENT 308
9.9.9 OTHER MANUFACTURING APPLICATIONS 308
9.10 AGRICULTURE 309
9.10.1 AI'S GROWING INFLUENCE IN AGRICULTURE NECESSARY STEP TOWARD FUTURE-READY FARMING SYSTEMS 309
9.10.2 CROP MONITORING AND YIELD PREDICTION 311
9.10.3 PRECISION FARMING 311
9.10.4 SOIL ANALYSIS AND NUTRIENT MANAGEMENT 311
9.10.5 PEST AND DISEASE DETECTION 311
9.10.6 IRRIGATION OPTIMIZATION AND WATER MANAGEMENT 312
9.10.7 AUTOMATED HARVESTING AND SORTING 312
9.10.8 WEED DETECTION AND MANAGEMENT 312
9.10.9 WEATHER AND CLIMATE MONITORING 312
9.10.10 LIVESTOCK MONITORING AND HEALTH MANAGEMENT 312
9.10.11 OTHER AGRICULTURE APPLICATIONS 312
9.11 SOFTWARE & TECHNOLOGY PROVIDERS 313
9.11.1 FROM INTELLIGENT AUTOMATION TO ROBUST SECURITY, AI IS REDEFINING SOFTWARE CAPABILITIES 313
9.11.2 CODE GENERATION & AUTO-COMPLETION 315
9.11.3 BUG DETECTION & FIXING 315
9.11.4 AUTOMATED SOFTWARE TESTING & QA 315
9.11.5 AI-POWERED CYBERSECURITY & THREAT DETECTION 316
9.11.6 AUTOMATED DEVOPS & CI/CD OPTIMIZATION 316
9.11.7 OTHER SOFTWARE & TECHNOLOGY PROVIDERS APPLICATIONS 316
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9.12 MEDIA AND ENTERTAINMENT 316
9.12.1 FROM PERSONALIZED CONTENT TO COPYRIGHT PROTECTION, AI TO RESHAPE DIGITAL MEDIA STRATEGIES 316
9.12.2 CONTENT RECOMMENDATION SYSTEMS 318
9.12.3 CONTENT CREATION AND GENERATION 318
9.12.4 CONTENT COPYRIGHT PROTECTION 319
9.12.5 AUDIENCE ANALYTICS AND SEGMENTATION 319
9.12.6 PERSONALIZED ADVERTISING 319
9.12.7 OTHER MEDIA AND ENTERTAINMENT APPLICATIONS 319
9.13 OTHER ENTERPRISE APPLICATIONS 320
10 ARTIFICIAL INTELLIGENCE MARKET, BY END USER 321
10.1 INTRODUCTION 322
10.1.1 END USER: ARTIFICIAL INTELLIGENCE MARKET DRIVERS 322
10.2 CONSUMERS 324
10.2.1 AI INTEGRATION INTO SMART ASSISTANTS, AND CREATIVE CONTENT GENERATION TOOLS DRIVING RAPID CONSUMER ADOPTION 324
10.3 ENTERPRISES 325
10.3.1 BFSI 327
10.3.1.1 Increased use of AI for fraud detection, personalized financial services, and real-time risk management in BFSI 327
10.3.1.2 Banking 328
10.3.1.3 Financial Services 328
10.3.1.4 Insurance 329
10.3.2 RETAIL & E-COMMERCE 329
10.3.2.1 AI-powered recommendation engines, personalized marketing, and dynamic pricing are transforming consumer experiences 329
10.3.2.2 Consumer Goods Retail 330
10.3.2.3 Industrial Goods Retail 330
10.3.3 TRANSPORTATION & LOGISTICS 331
10.3.3.1 AI is optimizing route planning and supply chain visibility, enabling cost-effective and responsive transportation systems 331
10.3.3.2 Rail 332
10.3.3.3 Road 332
10.3.3.4 Marine 332
10.3.3.5 Air 332
10.3.4 GOVERNMENT & DEFENSE 333
10.3.4.1 AI is enabling smarter public services, enhanced security, and improved decision-making in government operations 333
10.3.4.2 Federal Government 334
10.3.4.3 State & Local Governments 334
10.3.4.4 Military & Defense 334
10.3.4.5 Public Service Agencies 334
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10.3.5 HEALTHCARE & LIFE SCIENCES 335
10.3.5.1 AI transforming clinical and operational aspects of healthcare through rapid drug discovery and improving diagnostic accuracy 335
10.3.5.2 Healthcare Providers 336
10.3.5.3 Pharmaceuticals & Biotech Sector 336
10.3.5.4 MedTech 336
10.3.6 TELECOMMUNICATIONS 337
10.3.6.1 Telecom providers are leveraging AI to optimize their infrastructure and services via autonomous network management 337
10.3.6.2 Network Operators 338
10.3.6.3 Telecom Equipment Providers 338
10.3.6.4 Communication Service Providers (CSPs) 338
10.3.6.5 Data & Cloud Connectivity Providers 338
10.3.7 ENERGY & UTILITIES 339
10.3.7.1 AI-driven energy optimization, predictive maintenance, and grid management are supporting the transition to renewable energy 339
10.3.7.2 Oil & Gas 340
10.3.7.3 Power Generation 340
10.3.7.4 Utilities 340
10.3.8 MANUFACTURING 341
10.3.8.1 Predictive maintenance, smart factories, and automation of production lines through AI are enhancing productivity and reducing downtime 341
10.3.8.2 Discrete Manufacturing 342
10.3.8.3 Process Manufacturing 342
10.3.9 SOFTWARE & TECHNOLOGY PROVIDERS 342
10.3.9.1 AI-driven infrastructure and generative AI tools are empowering software & tech players to integrate AI into products and services 342
10.3.9.2 Cloud Hyperscalers 343
10.3.9.3 Foundation Model/LLM Providers 344
10.3.9.4 AI Technology Providers 344
10.3.9.5 IT & IT-enabled Service Providers (ITeS) 344
10.3.10 MEDIA AND ENTERTAINMENT 345
10.3.10.1 Generative AI tools for content creation and real-time personalization are accelerating innovation and cost reduction in media industries 345
10.3.10.2 Publishing & Journalism 346
10.3.10.3 Television, Film & OTT 346
10.3.10.4 Music & Audio 347
10.3.10.5 Gaming & Interactive Media 347
10.3.10.6 Advertising & Marketing Agencies 347
10.3.10.7 Other Media & Entertainment Enterprises 347
10.3.11 OTHER ENTERPRISES 348
10.3.11.1 AI applications like personalized learning, audience engagement, and operational optimization are driving efficiencies 348
11 ARTIFICIAL INTELLIGENCE MARKET, BY REGION 349
11.1 INTRODUCTION 350
11.2 NORTH AMERICA 352
11.2.1 NORTH AMERICA: ARTIFICIAL INTELLIGENCE MARKET DRIVERS 352
11.2.2 NORTH AMERICA: MACROECONOMIC OUTLOOK 352
11.2.3 US 378
11.2.3.1 Growth initiatives by US government and businesses to drive market growth 378
11.2.4 CANADA 379
11.2.4.1 Rise in funding for building transformational public computing infrastructure 379
11.3 EUROPE 380
11.3.1 EUROPE: ARTIFICIAL INTELLIGENCE MARKET DRIVERS 380
11.3.2 EUROPE: MACROECONOMIC OUTLOOK 381
11.3.3 UK 405
11.3.3.1 Continuous investments and initiatives by UK government to bolster growth of AI market 405
11.3.4 GERMANY 406
11.3.4.1 Germany recognizing AI as most important future technology 406
11.3.5 FRANCE 407
11.3.5.1 Active promotions of AI initiatives and investments in research and development to push French market forward 407
11.3.6 ITALY 408
11.3.6.1 Adoption of sophisticated technologies with thriving startup ecosystem in Italy to drive market growth 408
11.3.7 SPAIN 409
11.3.7.1 Initiatives by Spanish government to promote widespread adoption of artificial intelligence 409
11.3.8 NORDICS 411
11.3.9 BENELUX 412
11.3.10 RUSSIA 413
11.3.11 REST OF EUROPE 414
11.4 ASIA PACIFIC 415
11.4.1 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE MARKET DRIVERS 415
11.4.2 ASIA PACIFIC: MACROECONOMIC OUTLOOK 416
11.4.3 CHINA 441
11.4.3.1 Government initiatives and regulations in favor of AI development in China to drive market growth 441
11.4.4 INDIA 442
11.4.4.1 Exploring generative AI for innovation and industry transformation in India to drive market growth 442
11.4.5 JAPAN 443
11.4.5.1 Japan's diverse ecosystem of startups and established tech giants to drive innovation 443
11.4.6 SOUTH KOREA 444
11.4.6.1 Government investments in artificial intelligence infrastructure to enhance citizen services in South Korea 444
11.4.7 AUSTRALIA & NEW ZEALAND 446
11.4.7.1 Business experiments with gen AI applications to analyze vast amounts of data and extract insights 446
11.4.8 ASEAN 447
11.4.9 REST OF ASIA PACIFIC 448
11.5 MIDDLE EAST & AFRICA 449
11.5.1 MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE MARKET DRIVERS 450
11.5.2 MIDDLE EAST & AFRICA: MACROECONOMIC OUTLOOK 450
11.5.3 SAUDI ARABIA 475
11.5.3.1 Greater emphasis on artificial intelligence development across key industry verticals in Saudi Arabia to drive market growth 475
11.5.4 UAE 482
11.5.4.1 Implementing proactive strategies and establishing regulatory frameworks for AI adoption to drive market growth 482
11.5.5 SOUTH AFRICA 483
11.5.5.1 Collaborations and investments to boost startup ecosystem growth 483
11.5.6 TURKEY 484
11.5.6.1 Turkish government fostering innovation and international collaborations to drive economic growth 484
11.5.7 QATAR 485
11.5.7.1 Robust and resilient physical and digital infrastructure to be key enabler for Qatar's economic development 485
11.5.8 EGYPT 486
11.5.8.1 Government's strategic focus on digital transformation and innovation to drive market in Egypt 486
11.5.9 KUWAIT 487
11.5.9.1 Rising number of investments in AI technologies and government initiatives to push market in Kuwait 487
11.5.10 REST OF MIDDLE EAST & AFRICA 488
11.6 LATIN AMERICA 490
11.6.1 LATIN AMERICA: ARTIFICIAL INTELLIGENCE MARKET DRIVERS 490
11.6.2 LATIN AMERICA: MACROECONOMIC OUTLOOK 491
11.6.3 BRAZIL 515
11.6.3.1 Strong governmental support and growing interest from private enterprises to boost AI market in Brazil 515
11.6.4 MEXICO 516
11.6.4.1 Mexico to become digitally advanced country due to adoption of AI 516
11.6.5 ARGENTINA 518
11.6.5.1 Adoption of artificial intelligence to enhance processes and improve decision-making of businesses in Argentina 518
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11.6.6 CHILE 519
11.6.6.1 Rise in adoption of artificial intelligence to promote research and innovation centered around human well-being to drive market growth 519
11.6.7 REST OF LATIN AMERICA 520
12 COMPETITIVE LANDSCAPE 522
12.1 OVERVIEW 522
12.2 KEY PLAYER STRATEGIES, 2020-2024 522
12.3 REVENUE ANALYSIS, 2020-2024 525
12.4 MARKET SHARE ANALYSIS, 2024 526
12.4.1 MARKET RANKING ANALYSIS, 2024 527
12.5 PRODUCT COMPARATIVE ANALYSIS 531
12.5.1 PRODUCT COMPARATIVE ANALYSIS, BY MACHINE LEARNING 531
12.5.1.1 Vertex AI 531
12.5.1.2 Amazon Forecast 531
12.5.1.3 NVIDIA Jarvis 532
12.5.1.4 SAS Viya 532
12.5.1.5 Microsoft Azure AI Personalizer 532
12.5.2 PRODUCT COMPARATIVE ANALYSIS, BY NATURAL LANGUAGE PROCESSING 532
12.5.2.1 Gensim 533
12.5.2.2 MindMeld 533
12.5.2.3 Google Cloud Natural Language 533
12.5.2.4 MonkeyLearn 533
12.5.2.5 Amazon Comprehend 533
12.5.3 PRODUCT COMPARATIVE ANALYSIS, BY COMPUTER VISION 534
12.5.3.1 OpenCV 534
12.5.3.2 Viso Suite 534
12.5.3.3 TensorFlow 535
12.5.3.4 MATLAB 535
12.5.3.5 Keras 535
12.6 COMPANY VALUATION AND FINANCIAL METRICS 535
12.7 COMPANY EVALUATION MATRIX: KEY PLAYERS (AI INFRASTRUCTURE), 2024 536
12.7.1 STARS 536
12.7.2 EMERGING LEADERS 536
12.7.3 PERVASIVE PLAYERS 537
12.7.4 PARTICIPANTS 537
12.7.5 COMPANY FOOTPRINT: KEY PLAYERS (AI INFRASTRUCTURE), 2024 538
12.7.5.1 Company Footprint 538
12.7.5.2 Offering Footprint 538
12.7.5.3 Technology Footprint 539
12.7.5.4 Enterprise Application Footprint 539
12.7.5.5 Region Footprint 540
12.8 COMPANY EVALUATION MATRIX: KEY PLAYERS (AI SOFTWARE), 2024 540
12.8.1 STARS 540
12.8.2 EMERGING LEADERS 540
12.8.3 PERVASIVE PLAYERS 541
12.8.4 PARTICIPANTS 541
12.8.5 COMPANY FOOTPRINT: KEY PLAYERS (AI SOFTWARE), 2024 542
12.8.5.1 Company Footprint 542
12.8.5.2 Offering Footprint 542
12.8.5.3 Technology Footprint 543
12.8.5.4 Enterprise Application Footprint 544
12.8.5.5 Region Footprint 545
12.9 COMPANY EVALUATION MATRIX: KEY PLAYERS (AI SERVICES), 2024 546
12.9.1 STARS 546
12.9.2 EMERGING LEADERS 546
12.9.3 PERVASIVE PLAYERS 546
12.9.4 PARTICIPANTS 546
12.9.5 COMPANY FOOTPRINT: KEY PLAYERS (AI SERVICES), 2024 548
12.9.5.1 Company Footprint 548
12.9.5.2 Offering Footprint 548
12.9.5.3 Technology Footprint 549
12.9.5.4 Enterprise Application Footprint 549
12.9.5.5 Region Footprint 550
12.10 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2024 550
12.10.1 STARTUPS/SMES - AI SOFTWARE PLAYERS 550
12.10.1.1 Progressive Companies 550
12.10.1.2 Responsive Companies 550
12.10.1.3 Dynamic Companies 551
12.10.1.4 Starting Blocks 551
12.10.2 STARTUPS/SMES - AI SERVICES PROVIDERS 552
12.10.2.1 Progressive Companies 552
12.10.2.2 Responsive Companies 552
12.10.2.3 Dynamic Companies 552
12.10.2.4 Starting Blocks 552
12.10.3 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2024 554
12.10.3.1 Detailed List of Key Startups/SMEs 554
12.10.3.2 Competitive Benchmarking of Key Startups/SMEs 556
12.11 COMPETITIVE SCENARIO AND TRENDS 558
12.11.1 PRODUCT LAUNCHES AND ENHANCEMENTS 558
12.11.2 DEALS 584
13 COMPANY PROFILES 633
13.1 INTRODUCTION 633
13.2 MAJOR PLAYERS 633
13.2.1 NVIDIA 633
13.2.1.1 Business overview 633
13.2.1.2 Products offered 634
13.2.1.3 Recent developments 636
13.2.1.3.1 Product launches and enhancements 636
13.2.1.3.2 Deals 637
13.2.1.4 MnM view 641
13.2.1.4.1 Key strengths/Right to win 641
13.2.1.4.2 Strategic choices 641
13.2.1.4.3 Weaknesses and competitive threats 642
13.2.2 MICROSOFT 643
13.2.2.1 Business overview 643
13.2.2.2 Products offered 644
13.2.2.3 Recent developments 646
13.2.2.3.1 Product launches and enhancements 646
13.2.2.3.2 Deals 647
13.2.2.4 MnM view 650
13.2.2.4.1 Key strengths/Right to win 650
13.2.2.4.2 Strategic choices 650
13.2.2.4.3 Weaknesses and competitive threats 650
13.2.3 AWS 651
13.2.3.1 Business overview 651
13.2.3.2 Products offered 652
13.2.3.3 Recent developments 654
13.2.3.3.1 Product launches and enhancements 654
13.2.3.3.2 Deals 656
13.2.3.3.3 Others 659
13.2.3.4 MnM view 659
13.2.3.4.1 Key strengths/Right to win 659
13.2.3.4.2 Strategic choices 659
13.2.3.4.3 Weaknesses and competitive threats 659
13.2.4 GOOGLE 660
13.2.4.1 Business overview 660
13.2.4.2 Products offered 661
13.2.4.3 Recent developments 664
13.2.4.3.1 Product launches and enhancements 664
13.2.4.3.2 Deals 665
13.2.4.3.3 Expansions 669
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13.2.4.4 MnM view 669
13.2.4.4.1 Key strengths/Right to win 669
13.2.4.4.2 Strategic choices 670
13.2.4.4.3 Weaknesses and competitive threats 670
13.2.5 IBM 671
13.2.5.1 Business overview 671
13.2.5.2 Products offered 672
13.2.5.3 Recent developments 675
13.2.5.3.1 Product launches and enhancements 675
13.2.5.3.2 Deals 676
13.2.5.4 MnM view 679
13.2.5.4.1 Key strengths/Right to win 679
13.2.5.4.2 Strategic choices 680
13.2.5.4.3 Weaknesses and competitive threats 680
13.2.6 AMD 681
13.2.6.1 Business overview 681
13.2.6.2 Products offered 682
13.2.6.3 Recent developments 684
13.2.6.3.1 Product launches and enhancements 684
13.2.6.3.2 Deals 686
13.2.7 ORACLE 689
13.2.7.1 Business overview 689
13.2.7.2 Products offered 690
13.2.7.3 Recent developments 692
13.2.7.3.1 Product launches and enhancements 692
13.2.7.3.2 Deals 693
13.2.8 INTEL 696
13.2.8.1 Business overview 696
13.2.8.2 Products offered 698
13.2.8.3 Recent developments 699
13.2.8.3.1 Product launches and enhancements 699
13.2.8.3.2 Deals 700
13.2.9 OPENAI 702
13.2.9.1 Business overview 702
13.2.9.2 Solutions offered 702
13.2.9.3 Recent developments 704
13.2.9.3.1 Product launches and enhancements 704
13.2.9.3.2 Deals 706
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13.2.10 BAIDU 708
13.2.10.1 Business overview 708
13.2.10.2 Products offered 709
13.2.10.3 Recent developments 712
13.2.10.3.1 Product launches and enhancements 712
13.2.10.3.2 Deals 713
13.2.11 QUALCOMM 714
13.2.11.1 Business overview 714
13.2.11.2 Products offered 715
13.2.11.3 Recent developments 717
13.2.11.3.1 Product launches and enhancements 717
13.2.11.3.2 Deals 718
13.2.12 HPE 721
13.2.12.1 Business overview 721
13.2.12.2 Products offered 722
13.2.12.3 Recent developments 724
13.2.12.3.1 Product launches and enhancements 724
13.2.12.3.2 Deals 725
13.2.13 ALIBABA CLOUD 727
13.2.13.1 Business overview 727
13.2.13.2 Products offered 727
13.2.13.3 Recent developments 729
13.2.13.3.1 Product launches and enhancements 729
13.2.13.3.2 Deals 730
13.2.14 HUAWEI 732
13.2.14.1 Business overview 732
13.2.14.2 Products offered 732
13.2.14.3 Recent developments 735
13.2.14.3.1 Product launches and enhancements 735
13.2.14.3.2 Deals 736
13.2.15 SALESFORCE 738
13.2.15.1 Business overview 738
13.2.15.2 Products offered 739
13.2.15.3 Recent developments 741
13.2.15.3.1 Product launches and enhancements 741
13.2.15.3.2 Deals 743
13.2.16 META 746
13.2.16.1 Business overview 746
13.2.16.2 Products offered 747
13.2.16.3 Recent developments 749
13.2.16.3.1 Product launches and enhancements 749
13.2.16.3.2 Deals 751
13.2.17 SAP 754
13.2.17.1 Business overview 754
13.2.17.2 Products offered 755
13.2.17.3 Recent developments 757
13.2.17.3.1 Product launches and enhancements 757
13.2.17.3.2 Deals 758
13.2.18 CISCO 762
13.2.18.1 Business overview 762
13.2.18.2 Products offered 763
13.2.18.3 Recent developments 764
13.2.18.3.1 Product launches and enhancements 764
13.2.18.3.2 Deals 766
13.2.19 SAS INSTITUTE 768
13.2.19.1 Business overview 768
13.2.19.2 Products offered 768
13.2.19.3 Recent developments 769
13.2.19.3.1 Product launches and enhancements 769
13.2.19.3.2 Deals 770
13.2.20 SIEMENS 772
13.2.20.1 Business overview 772
13.2.20.2 Products offered 773
13.2.20.3 Recent developments 774
13.2.20.3.1 Product launches and enhancements 774
13.2.20.3.2 Deals 775
13.2.21 DATABRICKS 777
13.2.22 IMERIT 777
13.2.23 CENTIFIC 778
13.2.23.1 Business overview 778
13.2.23.2 Solutions offered 778
13.2.23.3 Recent developments 779
13.2.23.3.1 Product launches and enhancements 779
13.2.23.3.2 Deals 779
13.2.24 QUANTIPHI 780
13.2.25 TIGER ANALYTICS 780
13.2.26 TELUS INTERNATIONAL 781
13.2.26.1 Business overview 781
13.2.26.2 Products offered 782
13.2.27 INNODATA 783
13.2.27.1 Business overview 783
13.2.27.2 Products offered 784
13.2.27.3 Recent developments 785
13.2.27.3.1 Product launches & enhancements 785
13.2.28 FRACTAL ANALYTICS 786
13.2.29 SAMA 787
13.2.29.1 Business overview 787
13.2.29.2 Products/Solutions/Services offered 787
13.2.29.3 Recent developments 788
13.2.29.3.1 Product launches & enhancements 788
13.3 STARTUP/SME PROFILES 789
13.3.1 ANTHROPIC 789
13.3.2 SCALE AI 790
13.3.3 C3 AI 791
13.3.3.1 Business overview 791
13.3.3.2 Products/Solutions/Services offered 792
13.3.3.3 Recent developments 793
13.3.3.3.1 Product launches and enhancements 793
13.3.3.3.2 Deals 794
13.3.4 DIALPAD 795
13.3.5 CEREBRAS 796
13.3.6 SHIELD AI 797
13.3.7 APPIER 798
13.3.7.1 Business overview 798
13.3.7.2 Products offered 799
13.3.7.3 Recent developments 800
13.3.7.3.1 Product launches and enhancements 800
13.3.7.3.2 Deals 801
13.3.8 ADA 802
13.3.9 DEEPL 803
13.3.10 JASPER 804
13.3.11 METROPOLIS TECHNOLOGIES 804
13.3.12 ADEPT 805
13.3.13 H2O.AI 806
13.3.14 AI21 LABS 807
13.3.15 SYNTHESIA 808
13.3.16 COHERE 809
13.3.17 PERSADO 810
13.3.18 ANYSCALE 811
13.3.19 APPEN 812
13.3.20 SNORKEL 812
13.3.21 COGITO TECH 813
13.3.21.1 Business overview 813
13.3.21.2 Products offered 814
13.3.22 INBENTA 815
13.3.23 OBSERVE AI 816
13.3.24 CHARACTER.AI 817
13.3.25 SPOT AI 818
13.3.26 ARTHUR AI 818
13.3.27 WRITESONIC 819
13.3.28 INFLECTION AI 819
13.3.29 MOSTLY AI 820
13.3.30 LABELBOX 820
13.3.31 GAMAYA 821
13.3.32 GRAPHCORE 822
13.3.33 HQE SYSTEMS, INC. 823
13.3.33.1 Business overview 823
13.3.33.2 Products offered 823
13.3.34 ONE AI 824
13.3.35 SOUNDFUL 825
13.3.36 ARROW AI 825
14 ADJACENT AND RELATED MARKETS 826
14.1 INTRODUCTION 826
14.2 CONVERSATIONAL AI MARKET - GLOBAL FORECAST TO 2030 826
14.2.1 MARKET DEFINITION 826
14.2.2 MARKET OVERVIEW 826
14.2.2.1 Conversational AI market, by offering 827
14.2.2.2 Conversational AI market, by service 828
14.2.2.3 Conversational AI market, by business function 829
14.2.2.4 Conversational AI market, by conversational agent type 830
14.2.2.5 Conversational AI market, by integration mode 831
14.2.2.6 Conversational AI market, by vertical 832
14.2.2.7 Conversational AI market, by region 833
14.3 GENERATIVE AI MARKET - GLOBAL FORECAST TO 2030 834
14.3.1 MARKET DEFINITION 834
14.3.2 MARKET OVERVIEW 834
14.3.2.1 Generative AI market, by offering 835
14.3.2.2 Generative AI market, by data modality 835
14.3.2.3 Generative AI market, by application 836
14.3.2.4 Generative AI market, by end user 837
14.3.2.5 Generative AI market, by region 838
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15 APPENDIX 840
15.1 DISCUSSION GUIDE 840
15.2 KNOWLEDGESTORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL 846
15.3 CUSTOMIZATION OPTIONS 848
15.4 RELATED REPORTS 848
15.5 AUTHOR DETAILS 849
TABLE 1 ARTIFICIAL INTELLIGENCE MARKET SEGMENTATION 71
TABLE 2 UNITED STATES DOLLAR EXCHANGE RATE, 2020-2024 77
TABLE 3 PRIMARY INTERVIEWS 82
TABLE 4 FACTOR ANALYSIS 90
TABLE 5 GLOBAL ARTIFICIAL INTELLIGENCE MARKET SIZE AND GROWTH RATE,
2020-2024 (USD BILLION, Y-O-Y %) 96
TABLE 6 GLOBAL ARTIFICIAL INTELLIGENCE MARKET SIZE AND GROWTH RATE,
2025-2032 (USD BILLION, Y-O-Y %) 97
TABLE 7 ARTIFICIAL INTELLIGENCE (AI) MARKET: ECOSYSTEM 114
TABLE 8 US ADJUSTED RECIPROCAL TARIFF RATES 118
TABLE 9 TARIFF RELATED TO AI PROCESSORS AND CONTROLLERS (HSN: 854231), 2024 138
TABLE 10 NORTH AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 140
TABLE 11 EUROPE: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 141
TABLE 12 ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 142
TABLE 13 MIDDLE EAST & AFRICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 142
TABLE 14 LATIN AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 143
TABLE 15 PATENTS FILED, 2016-2025 150
TABLE 16 LIST OF FEW PATENTS IN ARTIFICIAL INTELLIGENCE MARKET, 2024-2025 151
TABLE 17 AVERAGE SELLING PRICE OF OFFERING, BY KEY PLAYER, 2025 155
TABLE 18 AVERAGE SELLING PRICE, BY APPLICATION, 2025 156
TABLE 19 ARTIFICIAL INTELLIGENCE (AI) MARKET: DETAILED LIST OF CONFERENCES & EVENTS, 2025-2026 160
TABLE 20 PORTERS' FIVE FORCES' IMPACT ON ARTIFICIAL INTELLIGENCE (AI) MARKET 162
TABLE 21 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE VERTICALS 164
TABLE 22 KEY BUYING CRITERIA FOR TOP THREE VERTICALS 165
TABLE 23 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2020-2024 (USD BILLION) 169
TABLE 24 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2025-2032 (USD BILLION) 169
TABLE 25 ARTIFICIAL INTELLIGENCE MARKET, BY INFRASTRUCTURE TYPE,
2020-2024 (USD BILLION) 170
TABLE 26 ARTIFICIAL INTELLIGENCE MARKET, BY INFRASTRUCTURE TYPE,
2025-2032 (USD BILLION) 170
TABLE 27 ARTIFICIAL INTELLIGENCE MARKET, BY COMPUTE, 2020-2024 (USD BILLION) 171
TABLE 28 ARTIFICIAL INTELLIGENCE MARKET, BY COMPUTE, 2025-2032 (USD BILLION) 171
TABLE 29 GPU: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2020-2024 (USD BILLION) 172
TABLE 30 GPU: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2025-2032 (USD BILLION) 173
TABLE 31 CPU: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2020-2024 (USD BILLION) 173
TABLE 32 CPU: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2025-2032 (USD BILLION) 174
TABLE 33 FPGA: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2020-2024 (USD BILLION) 174
TABLE 34 FPGA: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2025-2032 (USD BILLION) 175
TABLE 35 ARTIFICIAL INTELLIGENCE MARKET, BY MEMORY, 2020-2024 (USD BILLION) 175
TABLE 36 ARTIFICIAL INTELLIGENCE MARKET, BY MEMORY, 2025-2032 (USD BILLION) 175
TABLE 37 DDR: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2020-2024 (USD BILLION) 176
TABLE 38 DDR: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2025-2032 (USD BILLION) 176
TABLE 39 HBM: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2020-2024 (USD BILLION) 177
TABLE 40 HBM: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2025-2032 (USD BILLION) 177
TABLE 41 ARTIFICIAL INTELLIGENCE MARKET, BY NETWORKING HARDWARE,
2020-2024 (USD BILLION) 178
TABLE 42 ARTIFICIAL INTELLIGENCE MARKET, BY NETWORKING HARDWARE,
2025-2032 (USD BILLION) 178
TABLE 43 ARTIFICIAL INTELLIGENCE MARKET, BY NIC/NETWORK ADAPTER,
2020-2024 (USD BILLION) 179
TABLE 44 ARTIFICIAL INTELLIGENCE MARKET, BY NIC/NETWORK ADAPTER,
2025-2032 (USD BILLION) 179
TABLE 45 ETHERNET: ARTIFICIAL INTELLIGENCE MARKET, BY REGION,
2020-2024 (USD MILLION) 180
TABLE 46 ETHERNET: ARTIFICIAL INTELLIGENCE MARKET, BY REGION,
2025-2032 (USD MILLION) 180
TABLE 47 INFINIBAND: ARTIFICIAL INTELLIGENCE MARKET, BY REGION,
2020-2024 (USD MILLION) 181
TABLE 48 INFINIBAND: ARTIFICIAL INTELLIGENCE MARKET, BY REGION,
2025-2032 (USD MILLION) 181
TABLE 49 INTERCONNECTS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2020-2024 (USD MILLION) 182
TABLE 50 INTERCONNECTS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2025-2032 (USD MILLION) 182
TABLE 51 STORAGE: ARTIFICIAL INTELLIGENCE MARKET, BY REGION,
2020-2024 (USD BILLION) 183
TABLE 52 STORAGE: ARTIFICIAL INTELLIGENCE MARKET, BY REGION,
2025-2032 (USD BILLION) 183
TABLE 53 ARTIFICIAL INTELLIGENCE MARKET, BY INFRASTRUCTURE FUNCTION, 2020-2024 (USD BILLION) 184
TABLE 54 ARTIFICIAL INTELLIGENCE MARKET, BY INFRASTRUCTURE FUNCTION, 2025-2032 (USD BILLION) 184
TABLE 55 TRAINING: ARTIFICIAL INTELLIGENCE MARKET, BY REGION,
2020-2024 (USD BILLION) 184
TABLE 56 TRAINING: ARTIFICIAL INTELLIGENCE MARKET, BY REGION,
2025-2032 (USD BILLION) 185
TABLE 57 INFERENCE: ARTIFICIAL INTELLIGENCE MARKET, BY REGION,
2020-2024 (USD BILLION) 185
TABLE 58 INFERENCE: ARTIFICIAL INTELLIGENCE MARKET, BY REGION,
2025-2032 (USD BILLION) 186
TABLE 59 ARTIFICIAL INTELLIGENCE MARKET, BY SOFTWARE, 2020-2024 (USD BILLION) 187
TABLE 60 ARTIFICIAL INTELLIGENCE MARKET, BY SOFTWARE, 2025-2032 (USD BILLION) 187
TABLE 61 DIGITAL ASSISTANT & BOTS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2020-2024 (USD BILLION) 188
TABLE 62 DIGITAL ASSISTANT & BOTS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2025-2032 (USD BILLION) 188
TABLE 63 MACHINE LEARNING FRAMEWORKS: ARTIFICIAL INTELLIGENCE MARKET,
BY REGION, 2020-2024 (USD BILLION) 189
TABLE 64 MACHINE LEARNING FRAMEWORKS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2025-2032 (USD BILLION) 189
TABLE 65 NO-CODE/LOW-CODE ML TOOLS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2020-2024 (USD BILLION) 190
TABLE 66 NO-CODE/LOW-CODE ML TOOLS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2025-2032 (USD BILLION) 190
TABLE 67 COMPUTER VISION PLATFORMS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2020-2024 (USD BILLION) 191
TABLE 68 COMPUTER VISION PLATFORMS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2025-2032 (USD BILLION) 191
TABLE 69 DATA PRE-PROCESSING TOOLS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2020-2024 (USD BILLION) 192
TABLE 70 DATA PRE-PROCESSING TOOLS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2025-2032 (USD BILLION) 192
TABLE 71 BUSINESS INTELLIGENCE & ANALYTICS PLATFORMS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2020-2024 (USD BILLION) 193
TABLE 72 BUSINESS INTELLIGENCE & ANALYTICS PLATFORMS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2025-2032 (USD BILLION) 193
TABLE 73 DEVELOPER PLATFORMS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION,
2020-2024 (USD BILLION) 194
TABLE 74 DEVELOPER PLATFORMS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION,
2025-2032 (USD BILLION) 194
TABLE 75 OTHER AI SOFTWARE: ARTIFICIAL INTELLIGENCE MARKET, BY REGION,
2020-2024 (USD BILLION) 195
TABLE 76 OTHER AI SOFTWARE: ARTIFICIAL INTELLIGENCE MARKET, BY REGION,
2025-2032 (USD BILLION) 195
TABLE 77 ARTIFICIAL INTELLIGENCE MARKET, BY SERVICE, 2020-2024 (USD BILLION) 196
TABLE 78 ARTIFICIAL INTELLIGENCE MARKET, BY SERVICE, 2025-2032 (USD BILLION) 196
TABLE 79 ARTIFICIAL INTELLIGENCE MARKET, BY CORE DATA SERVICE,
2020-2024 (USD BILLION) 196
TABLE 80 ARTIFICIAL INTELLIGENCE MARKET, BY CORE DATA SERVICE,
2025-2032 (USD BILLION) 197
TABLE 81 DATA COLLECTION & INGESTION: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2020-2024 (USD BILLION) 197
TABLE 82 DATA COLLECTION & INGESTION: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2025-2032 (USD BILLION) 198
TABLE 83 DATA PROCESSING & TRANSFORMATION: ARTIFICIAL INTELLIGENCE MARKET,
BY REGION, 2020-2024 (USD BILLION) 198
TABLE 84 DATA PROCESSING & TRANSFORMATION: ARTIFICIAL INTELLIGENCE MARKET,
BY REGION, 2025-2032 (USD BILLION) 199
TABLE 85 DATA STORAGE & MANAGEMENT: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2020-2024 (USD MILLION) 199
TABLE 86 DATA STORAGE & MANAGEMENT: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2025-2032 (USD MILLION) 200
TABLE 87 DATA SECURITY & PRIVACY: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2020-2024 (USD BILLION) 200
TABLE 88 DATA SECURITY & PRIVACY: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2025-2032 (USD BILLION) 201
TABLE 89 DATA GOVERNANCE & QUALITY MANAGEMENT: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2020-2024 (USD BILLION) 201
TABLE 90 DATA GOVERNANCE & QUALITY MANAGEMENT: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2025-2032 (USD BILLION) 202
TABLE 91 DATA INTEGRATION & INTEROPERABILITY: ARTIFICIAL INTELLIGENCE MARKET,
BY REGION, 2020-2024 (USD MILLION) 202
TABLE 92 DATA INTEGRATION & INTEROPERABILITY: ARTIFICIAL INTELLIGENCE MARKET,
BY REGION, 2025-2032 (USD MILLION) 203
TABLE 93 ARTIFICIAL INTELLIGENCE MARKET, BY DATA ANNOTATION & TRAINING DATA SERVICE, 2020-2024 (USD BILLION) 203
TABLE 94 ARTIFICIAL INTELLIGENCE MARKET, BY DATA ANNOTATION & TRAINING DATA SERVICE, 2025-2032 (USD BILLION) 203
TABLE 95 HUMAN-IN-THE-LOOP ANNOTATION: ARTIFICIAL INTELLIGENCE MARKET,
BY REGION, 2020-2024 (USD BILLION) 204
TABLE 96 HUMAN-IN-THE-LOOP ANNOTATION: ARTIFICIAL INTELLIGENCE MARKET,
BY REGION, 2025-2032 (USD BILLION) 204
TABLE 97 AUTOMATED LABELING & AUGMENTATION: ARTIFICIAL INTELLIGENCE MARKET,
BY REGION, 2020-2024 (USD MILLION) 205
TABLE 98 AUTOMATED LABELING & AUGMENTATION: ARTIFICIAL INTELLIGENCE MARKET,
BY REGION, 2025-2032 (USD MILLION) 205
TABLE 99 ARTIFICIAL INTELLIGENCE MARKET, BY INTEGRATED SERVICE,
2020-2024 (USD BILLION) 206
TABLE 100 ARTIFICIAL INTELLIGENCE MARKET, BY INTEGRATED SERVICE,
2025-2032 (USD BILLION) 206
TABLE 101 AI MODEL DEVELOPMENT & DEPLOYMENT: ARTIFICIAL INTELLIGENCE MARKET,
BY REGION, 2020-2024 (USD BILLION) 207
TABLE 102 AI MODEL DEVELOPMENT & DEPLOYMENT: ARTIFICIAL INTELLIGENCE MARKET,
BY REGION, 2025-2032 (USD BILLION) 207
TABLE 103 AI MODEL OPTIMIZATION & FINE-TUNING: ARTIFICIAL INTELLIGENCE MARKET,
BY REGION, 2020-2024 (USD MILLION) 208
TABLE 104 AI MODEL OPTIMIZATION & FINE-TUNING: ARTIFICIAL INTELLIGENCE MARKET,
BY REGION, 2025-2032 (USD MILLION) 208
TABLE 105 AI SECURITY & COMPLIANCE SERVICES: ARTIFICIAL INTELLIGENCE MARKET,
BY REGION, 2020-2024 (USD MILLION) 209
TABLE 106 AI SECURITY & COMPLIANCE SERVICES: ARTIFICIAL INTELLIGENCE MARKET,
BY REGION, 2025-2032 (USD MILLION) 209
TABLE 107 AI SOFTWARE DEVELOPMENT SERVICES: ARTIFICIAL INTELLIGENCE MARKET,
BY REGION, 2020-2024 (USD BILLION) 210
TABLE 108 AI SOFTWARE DEVELOPMENT SERVICES: ARTIFICIAL INTELLIGENCE MARKET,
BY REGION, 2025-2032 (USD BILLION) 210
TABLE 109 SUPPORT & MAINTENANCE SERVICES: ARTIFICIAL INTELLIGENCE MARKET,
BY REGION, 2020-2024 (USD BILLION) 211
TABLE 110 SUPPORT & MAINTENANCE SERVICES: ARTIFICIAL INTELLIGENCE MARKET,
BY REGION, 2025-2032 (USD BILLION) 211
TABLE 111 ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2020-2024 (USD BILLION) 214
TABLE 112 ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2025-2032 (USD BILLION) 214
TABLE 113 ARTIFICIAL INTELLIGENCE MARKET, BY MACHINE LEARNING,
2020-2024 (USD BILLION) 215
TABLE 114 ARTIFICIAL INTELLIGENCE MARKET, BY MACHINE LEARNING,
2025-2032 (USD BILLION) 215
TABLE 115 SUPERVISED LEARNING: ARTIFICIAL INTELLIGENCE MARKET, BY REGION,
2020-2024 (USD BILLION) 215
TABLE 116 SUPERVISED LEARNING: ARTIFICIAL INTELLIGENCE MARKET, BY REGION,
2025-2032 (USD BILLION) 216
TABLE 117 UNSUPERVISED LEARNING: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2020-2024 (USD BILLION) 216
TABLE 118 UNSUPERVISED LEARNING: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2025-2032 (USD BILLION) 217
TABLE 119 REINFORCEMENT LEARNING: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2020-2024 (USD BILLION) 217
TABLE 120 REINFORCEMENT LEARNING: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2025-2032 (USD BILLION) 218
TABLE 121 ARTIFICIAL INTELLIGENCE MARKET, BY NATURAL LANGUAGE PROCESSING,
2020-2024 (USD BILLION) 218
TABLE 122 ARTIFICIAL INTELLIGENCE MARKET, BY NATURAL LANGUAGE PROCESSING,
2025-2032 (USD BILLION) 219
TABLE 123 NATURAL LANGUAGE UNDERSTANDING: ARTIFICIAL INTELLIGENCE MARKET,
BY REGION, 2020-2024 (USD BILLION) 219
TABLE 124 NATURAL LANGUAGE UNDERSTANDING: ARTIFICIAL INTELLIGENCE MARKET,
BY REGION, 2025-2032 (USD BILLION) 220
TABLE 125 NATURAL LANGUAGE GENERATION: ARTIFICIAL INTELLIGENCE MARKET,
BY REGION, 2020-2024 (USD BILLION) 220
TABLE 126 NATURAL LANGUAGE GENERATION: ARTIFICIAL INTELLIGENCE MARKET,
BY REGION, 2025-2032 (USD BILLION) 221
TABLE 127 ARTIFICIAL INTELLIGENCE MARKET, BY COMPUTER VISION AI,
2020-2024 (USD BILLION) 221
TABLE 128 ARTIFICIAL INTELLIGENCE MARKET, BY COMPUTER VISION AI,
2025-2032 (USD BILLION) 222
TABLE 129 OBJECT DETECTION: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2020-2024 (USD BILLION) 222
TABLE 130 OBJECT DETECTION: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2025-2032 (USD BILLION) 223
TABLE 131 IMAGE CLASSIFICATION: ARTIFICIAL INTELLIGENCE MARKET, BY REGION,
2020-2024 (USD BILLION) 223
TABLE 132 IMAGE CLASSIFICATION: ARTIFICIAL INTELLIGENCE MARKET, BY REGION,
2025-2032 (USD BILLION) 224
TABLE 133 SEMANTIC SEGMENTATION: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2020-2024 (USD BILLION) 224
TABLE 134 SEMANTIC SEGMENTATION: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2025-2032 (USD BILLION) 225
TABLE 135 FACIAL RECOGNITION: ARTIFICIAL INTELLIGENCE MARKET, BY REGION,
2020-2024 (USD BILLION) 225
TABLE 136 FACIAL RECOGNITION: ARTIFICIAL INTELLIGENCE MARKET, BY REGION,
2025-2032 (USD BILLION) 226
TABLE 137 OTHER COMPUTER VISION AI: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2020-2024 (USD BILLION) 226
TABLE 138 OTHER COMPUTER VISION AI: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2025-2032 (USD BILLION) 227
TABLE 139 ARTIFICIAL INTELLIGENCE MARKET, BY CONTEXT-AWARE AI,
2020-2024 (USD BILLION) 227
TABLE 140 ARTIFICIAL INTELLIGENCE MARKET, BY CONTEXT-AWARE AI,
2025-2032 (USD BILLION) 228
TABLE 141 CONTEXT-AWARE RECOMMENDATION SYSTEMS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2020-2024 (USD BILLION) 228
TABLE 142 CONTEXT-AWARE RECOMMENDATION SYSTEMS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2025-2032 (USD BILLION) 229
TABLE 143 MULTI-MODAL AI: ARTIFICIAL INTELLIGENCE MARKET, BY REGION,
2020-2024 (USD MILLION) 229
TABLE 144 MULTI-MODAL AI: ARTIFICIAL INTELLIGENCE MARKET, BY REGION,
2025-2032 (USD MILLION) 230
TABLE 145 CONTEXT-AWARE VIRTUAL ASSISTANTS: ARTIFICIAL INTELLIGENCE MARKET,
BY REGION, 2020-2024 (USD BILLION) 230
TABLE 146 CONTEXT-AWARE VIRTUAL ASSISTANTS: ARTIFICIAL INTELLIGENCE MARKET,
BY REGION, 2025-2032 (USD BILLION) 231
TABLE 147 ARTIFICIAL INTELLIGENCE MARKET, BY GENERATIVE AI,
2020-2024 (USD BILLION) 231
TABLE 148 ARTIFICIAL INTELLIGENCE MARKET, BY GENERATIVE AI,
2025-2032 (USD BILLION) 232
TABLE 149 ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION,
2020-2024 (USD BILLION) 235
TABLE 150 ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION,
2025-2032 (USD BILLION) 235
TABLE 151 ARTIFICIAL INTELLIGENCE MARKET, BY MARKETING & SALES,
2020-2024 (USD BILLION) 236
TABLE 152 ARTIFICIAL INTELLIGENCE MARKET, BY MARKETING & SALES,
2025-2032 (USD BILLION) 236
TABLE 153 SENTIMENT ANALYSIS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION,
2020-2024 (USD BILLION) 237
TABLE 154 SENTIMENT ANALYSIS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION,
2025-2032 (USD BILLION) 237
TABLE 155 PREDICTIVE FORECASTING: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2020-2024 (USD BILLION) 238
TABLE 156 PREDICTIVE FORECASTING: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2025-2032 (USD BILLION) 238
TABLE 157 CONTENT GENERATION & MARKETING: ARTIFICIAL INTELLIGENCE MARKET,
BY REGION, 2020-2024 (USD BILLION) 239
TABLE 158 CONTENT GENERATION & MARKETING: ARTIFICIAL INTELLIGENCE MARKET,
BY REGION, 2025-2032 (USD BILLION) 239
TABLE 159 AUDIENCE SEGMENTATION & PERSONALIZATION: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2020-2024 (USD BILLION) 240
TABLE 160 AUDIENCE SEGMENTATION & PERSONALIZATION: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2025-2032 (USD BILLION) 240
TABLE 161 CUSTOMER EXPERIENCE MANAGEMENT: ARTIFICIAL INTELLIGENCE MARKET,
BY REGION, 2020-2024 (USD BILLION) 241
TABLE 162 CUSTOMER EXPERIENCE MANAGEMENT: ARTIFICIAL INTELLIGENCE MARKET,
BY REGION, 2025-2032 (USD BILLION) 241
TABLE 163 OTHER MARKETING & SALES FUNCTIONS: ARTIFICIAL INTELLIGENCE MARKET,
BY REGION, 2020-2024 (USD BILLION) 242
TABLE 164 OTHER MARKETING & SALES FUNCTIONS: ARTIFICIAL INTELLIGENCE MARKET,
BY REGION, 2025-2032 (USD BILLION) 242
TABLE 165 ARTIFICIAL INTELLIGENCE MARKET, BY HUMAN RESOURCES,
2020-2024 (USD BILLION) 243
TABLE 166 ARTIFICIAL INTELLIGENCE MARKET, BY HUMAN RESOURCES, BY REGION,
2025-2032 (USD BILLION) 243
TABLE 167 ONBOARDING AUTOMATION: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2020-2024 (USD BILLION) 244
TABLE 168 ONBOARDING AUTOMATION: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2025-2032 (USD BILLION) 244
TABLE 169 CANDIDATE SCREENING & RECRUITMENT: ARTIFICIAL INTELLIGENCE MARKET,
BY REGION, 2020-2024 (USD BILLION) 245
TABLE 170 CANDIDATE SCREENING & RECRUITMENT: ARTIFICIAL INTELLIGENCE MARKET,
BY REGION, 2025-2032 (USD BILLION) 245
TABLE 171 PERFORMANCE MANAGEMENT: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2020-2024 (USD BILLION) 246
TABLE 172 PERFORMANCE MANAGEMENT: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2025-2032 (USD BILLION) 246
TABLE 173 WORKFORCE MANAGEMENT: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2020-2024 (USD BILLION) 247
TABLE 174 WORKFORCE MANAGEMENT: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2025-2032 (USD BILLION) 247
TABLE 175 EMPLOYEE FEEDBACK ANALYSIS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2020-2024 (USD BILLION) 248
TABLE 176 EMPLOYEE FEEDBACK ANALYSIS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2025-2032 (USD BILLION) 248
TABLE 177 OTHER HUMAN RESOURCES FUNCTIONS: ARTIFICIAL INTELLIGENCE MARKET,
BY REGION, 2020-2024 (USD BILLION) 249
TABLE 178 OTHER HUMAN RESOURCES FUNCTIONS: ARTIFICIAL INTELLIGENCE MARKET,
BY REGION, 2025-2032 (USD BILLION) 249
TABLE 179 ARTIFICIAL INTELLIGENCE MARKET, BY FINANCE & ACCOUNTING,
2020-2024 (USD BILLION) 250
TABLE 180 ARTIFICIAL INTELLIGENCE MARKET, BY FINANCE & ACCOUNTING,
2025-2032 (USD BILLION) 250
TABLE 181 FINANCIAL PLANNING & FORECASTING: ARTIFICIAL INTELLIGENCE MARKET,
BY REGION, 2020-2024 (USD BILLION) 251
TABLE 182 FINANCIAL PLANNING & FORECASTING: ARTIFICIAL INTELLIGENCE MARKET,
BY REGION, 2025-2032 (USD BILLION) 251
TABLE 183 AUTOMATED BOOKKEEPING & RECONCILIATION: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2020-2024 (USD BILLION) 252
TABLE 184 AUTOMATED BOOKKEEPING & RECONCILIATION: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2025-2032 (USD BILLION) 252
TABLE 185 PROCUREMENT & SUPPLY CHAIN FINANCE: ARTIFICIAL INTELLIGENCE MARKET,
BY REGION, 2020-2024 (USD BILLION) 253
TABLE 186 PROCUREMENT & SUPPLY CHAIN FINANCE: ARTIFICIAL INTELLIGENCE MARKET,
BY REGION, 2025-2032 (USD BILLION) 253
TABLE 187 REVENUE CYCLE MANAGEMENT: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2020-2024 (USD BILLION) 254
TABLE 188 REVENUE CYCLE MANAGEMENT: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2025-2032 (USD BILLION) 254
TABLE 189 FINANCIAL COMPLIANCE & REGULATORY REPORTING: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2020-2024 (USD BILLION) 255
TABLE 190 FINANCIAL COMPLIANCE & REGULATORY REPORTING: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2025-2032 (USD BILLION) 255
TABLE 191 OTHER FINANCE & ACCOUNTING FUNCTIONS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2020-2024 (USD BILLION) 256
TABLE 192 OTHER FINANCE & ACCOUNTING FUNCTIONS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2025-2032 (USD BILLION) 256
TABLE 193 ARTIFICIAL INTELLIGENCE MARKET, BY OPERATIONS & SUPPLY CHAIN,
2020-2024 (USD BILLION) 257
TABLE 194 ARTIFICIAL INTELLIGENCE MARKET, BY OPERATIONS & SUPPLY CHAIN,
2025-2032 (USD BILLION) 257
TABLE 195 AIOPS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION,
2020-2024 (USD MILLION) 258
TABLE 196 AIOPS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION,
2025-2032 (USD MILLION) 258
TABLE 197 IT SERVICE MANAGEMENT: ARTIFICIAL INTELLIGENCE MARKET, BY REGION,
2020-2024 (USD MILLION) 259
TABLE 198 IT SERVICE MANAGEMENT: ARTIFICIAL INTELLIGENCE MARKET, BY REGION,
2025-2032 (USD MILLION) 259
TABLE 199 DEMAND PLANNING & FORECASTING: ARTIFICIAL INTELLIGENCE MARKET,
BY REGION, 2020-2024 (USD BILLION) 260
TABLE 200 DEMAND PLANNING & FORECASTING: ARTIFICIAL INTELLIGENCE MARKET,
BY REGION, 2025-2032 (USD BILLION) 260
TABLE 201 PROCUREMENT & SOURCING: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2020-2024 (USD BILLION) 261
TABLE 202 PROCUREMENT & SOURCING: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2025-2032 (USD BILLION) 261
TABLE 203 WAREHOUSE & INVENTORY MANAGEMENT: ARTIFICIAL INTELLIGENCE MARKET,
BY REGION, 2020-2024 (USD BILLION) 262
TABLE 204 WAREHOUSE & INVENTORY MANAGEMENT: ARTIFICIAL INTELLIGENCE MARKET,
BY REGION, 2025-2032 (USD BILLION) 262
TABLE 205 PRODUCTION PLANNING & SCHEDULING: ARTIFICIAL INTELLIGENCE MARKET,
BY REGION, 2020-2024 (USD BILLION) 263
TABLE 206 PRODUCTION PLANNING & SCHEDULING: ARTIFICIAL INTELLIGENCE MARKET,
BY REGION, 2025-2032 (USD BILLION) 263
TABLE 207 OTHER OPERATIONS & SUPPLY CHAIN FUNCTIONS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2020-2024 (USD MILLION) 264
TABLE 208 OTHER OPERATIONS & SUPPLY CHAIN FUNCTIONS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2025-2032 (USD MILLION) 264
TABLE 209 OTHER BUSINESS FUNCTIONS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2020-2024 (USD BILLION) 265
TABLE 210 OTHER BUSINESS FUNCTIONS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2025-2032 (USD BILLION) 265
TABLE 211 ARTIFICIAL INTELLIGENCE MARKET, BY ENTERPRISE APPLICATION, 2020-2024 (USD BILLION) 269
TABLE 212 ARTIFICIAL INTELLIGENCE MARKET, BY ENTERPRISE APPLICATION, 2025-2032 (USD BILLION) 270
TABLE 213 ENTERPRISE APPLICATION: ARTIFICIAL INTELLIGENCE MARKET, BY BFSI,
2020-2024 (USD BILLION) 271
TABLE 214 ENTERPRISE APPLICATION: ARTIFICIAL INTELLIGENCE MARKET, BY BFSI,
2025-2032 (USD BILLION) 271
TABLE 215 ENTERPRISE APPLICATIONS IN BFSI: ARTIFICIAL INTELLIGENCE MARKET,
BY REGION, 2020-2024 (USD BILLION) 272
TABLE 216 ENTERPRISE APPLICATIONS IN BFSI: ARTIFICIAL INTELLIGENCE MARKET,
BY REGION, 2025-2032 (USD BILLION) 272
TABLE 217 ENTERPRISE APPLICATION: ARTIFICIAL INTELLIGENCE MARKET,
BY RETAIL & E-COMMERCE, 2020-2024 (USD BILLION) 276
TABLE 218 ENTERPRISE APPLICATION: ARTIFICIAL INTELLIGENCE MARKET,
BY RETAIL & E-COMMERCE, 2025-2032 (USD BILLION) 277
TABLE 219 ENTERPRISE APPLICATIONS IN RETAIL & E-COMMERCE: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2020-2024 (USD BILLION) 277
TABLE 220 ENTERPRISE APPLICATIONS IN RETAIL & E-COMMERCE: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2025-2032 (USD BILLION) 278
TABLE 221 ENTERPRISE APPLICATION: ARTIFICIAL INTELLIGENCE MARKET,
BY TRANSPORTATION & LOGISTICS, 2020-2024 (USD BILLION) 281
TABLE 222 ENTERPRISE APPLICATION: ARTIFICIAL INTELLIGENCE MARKET,
BY TRANSPORTATION & LOGISTICS, 2025-2032 (USD BILLION) 282
TABLE 223 ENTERPRISE APPLICATIONS IN TRANSPORTATION & LOGISTICS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2020-2024 (USD BILLION) 282
TABLE 224 ENTERPRISE APPLICATIONS IN TRANSPORTATION & LOGISTICS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2025-2032 (USD BILLION) 283
TABLE 225 ENTERPRISE APPLICATION: ARTIFICIAL INTELLIGENCE MARKET,
BY GOVERNMENT & DEFENSE, 2020-2024 (USD BILLION) 286
TABLE 226 ENTERPRISE APPLICATION: ARTIFICIAL INTELLIGENCE MARKET,
BY GOVERNMENT & DEFENSE, 2025-2032 (USD BILLION) 286
TABLE 227 ENTERPRISE APPLICATIONS IN GOVERNMENT & DEFENSE: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2020-2024 (USD BILLION) 287
TABLE 228 ENTERPRISE APPLICATIONS IN GOVERNMENT & DEFENSE: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2025-2032 (USD BILLION) 287
TABLE 229 ENTERPRISE APPLICATION: ARTIFICIAL INTELLIGENCE MARKET,
BY HEALTHCARE & LIFE SCIENCES, 2020-2024 (USD BILLION) 291
TABLE 230 ENTERPRISE APPLICATION: ARTIFICIAL INTELLIGENCE MARKET,
BY HEALTHCARE & LIFE SCIENCES, 2025-2032 (USD BILLION) 291
TABLE 231 ENTERPRISE APPLICATIONS IN HEALTHCARE & LIFE SCIENCES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2020-2024 (USD BILLION) 292
TABLE 232 ENTERPRISE APPLICATIONS IN HEALTHCARE & LIFE SCIENCES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2025-2032 (USD BILLION) 292
TABLE 233 ENTERPRISE APPLICATION: ARTIFICIAL INTELLIGENCE MARKET,
BY TELECOMMUNICATIONS, 2020-2024 (USD BILLION) 296
TABLE 234 ENTERPRISE APPLICATION: ARTIFICIAL INTELLIGENCE MARKET,
BY TELECOMMUNICATIONS, 2025-2032 (USD BILLION) 296
TABLE 235 ENTERPRISE APPLICATIONS IN TELECOMMUNICATIONS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2020-2024 (USD BILLION) 297
TABLE 236 ENTERPRISE APPLICATIONS IN TELECOMMUNICATIONS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2025-2032 (USD BILLION) 297
TABLE 237 ENTERPRISE APPLICATION: ARTIFICIAL INTELLIGENCE MARKET, BY ENERGY & UTILITIES, 2020-2024 (USD BILLION) 300
TABLE 238 ENERGY & UTILITIES: ARTIFICIAL INTELLIGENCE MARKET, BY ENERGY & UTILITIES, 2025-2032 (USD BILLION) 301
TABLE 239 ENTERPRISE APPLICATIONS IN ENERGY & UTILITIES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2020-2024 (USD BILLION) 301
TABLE 240 ENTERPRISE APPLICATIONS IN ENERGY & UTILITIES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2025-2032 (USD BILLION) 302
TABLE 241 ENTERPRISE APPLICATION: ARTIFICIAL INTELLIGENCE MARKET,
BY MANUFACTURING, 2020-2024 (USD BILLION) 305
TABLE 242 ENTERPRISE APPLICATION: ARTIFICIAL INTELLIGENCE MARKET,
BY MANUFACTURING, 2025-2032 (USD BILLION) 306
TABLE 243 ENTERPRISE APPLICATIONS IN MANUFACTURING: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2020-2024 (USD BILLION) 306
TABLE 244 ENTERPRISE APPLICATIONS IN MANUFACTURING: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2025-2032 (USD BILLION) 307
TABLE 245 ENTERPRISE APPLICATION: ARTIFICIAL INTELLIGENCE MARKET, BY AGRICULTURE, 2020-2024 (USD BILLION) 309
TABLE 246 ENTERPRISE APPLICATION: ARTIFICIAL INTELLIGENCE MARKET, BY AGRICULTURE, 2025-2032 (USD BILLION) 310
TABLE 247 ENTERPRISE APPLICATIONS IN AGRICULTURE: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2020-2024 (USD BILLION) 310
TABLE 248 ENTERPRISE APPLICATIONS IN AGRICULTURE: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2025-2032 (USD BILLION) 311
TABLE 249 ENTERPRISE APPLICATION: ARTIFICIAL INTELLIGENCE MARKET, BY SOFTWARE & TECHNOLOGY PROVIDER, 2020-2024 (USD BILLION) 313
TABLE 250 ENTERPRISE APPLICATION: ARTIFICIAL INTELLIGENCE MARKET, BY SOFTWARE & TECHNOLOGY PROVIDER, 2025-2032 (USD BILLION) 314
TABLE 251 ENTERPRISE APPLICATIONS IN SOFTWARE & TECHNOLOGY PROVIDERS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2020-2024 (USD BILLION) 314
TABLE 252 ENTERPRISE APPLICATIONS IN SOFTWARE & TECHNOLOGY PROVIDERS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2025-2032 (USD BILLION) 315
TABLE 253 ENTERPRISE APPLICATION: ARTIFICIAL INTELLIGENCE MARKET, BY MEDIA AND ENTERTAINMENT, 2020-2024 (USD BILLION) 317
TABLE 254 ENTERPRISE APPLICATION: ARTIFICIAL INTELLIGENCE MARKET, BY MEDIA AND ENTERTAINMENT, 2025-2032 (USD BILLION) 317
TABLE 255 ENTERPRISE APPLICATIONS IN MEDIA AND ENTERTAINMENT: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2020-2024 (USD BILLION) 318
TABLE 256 ENTERPRISE APPLICATIONS IN MEDIA AND ENTERTAINMENT: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2025-2032 (USD BILLION) 318
TABLE 257 OTHER ENTERPRISE APPLICATIONS: ARTIFICIAL INTELLIGENCE MARKET,
BY REGION, 2020-2024 (USD BILLION) 320
TABLE 258 OTHER ENTERPRISE APPLICATIONS: ARTIFICIAL INTELLIGENCE MARKET,
BY REGION, 2025-2032 (USD BILLION) 320
TABLE 259 ARTIFICIAL INTELLIGENCE MARKET, BY END USER, 2020-2024 (USD BILLION) 323
TABLE 260 ARTIFICIAL INTELLIGENCE MARKET, BY END USER, 2025-2032 (USD BILLION) 323
TABLE 261 CONSUMERS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION,
2020-2024 (USD BILLION) 324
TABLE 262 CONSUMERS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION,
2025-2032 (USD BILLION) 324
TABLE 263 ARTIFICIAL INTELLIGENCE MARKET, BY ENTERPRISE, 2020-2024 (USD BILLION) 325
TABLE 264 ARTIFICIAL INTELLIGENCE MARKET, BY ENTERPRISE, 2025-2032 (USD BILLION) 326
TABLE 265 ENTERPRISES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION,
2020-2024 (USD BILLION) 326
TABLE 266 ENTERPRISES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION,
2025-2032 (USD BILLION) 327
TABLE 267 ARTIFICIAL INTELLIGENCE MARKET, BY BFSI, 2020-2024 (USD BILLION) 327
TABLE 268 ARTIFICIAL INTELLIGENCE MARKET, BY BFSI, 2025-2032 (USD BILLION) 328
TABLE 269 ARTIFICIAL INTELLIGENCE MARKET, BY RETAIL & E-COMMERCE,
2020-2024 (USD BILLION) 329
TABLE 270 ARTIFICIAL INTELLIGENCE MARKET, BY RETAIL & E-COMMERCE,
2025-2032 (USD BILLION) 330
TABLE 271 ARTIFICIAL INTELLIGENCE MARKET, BY TRANSPORTATION & LOGISTICS,
2020-2024 (USD BILLION) 331
TABLE 272 ARTIFICIAL INTELLIGENCE MARKET, BY TRANSPORTATION & LOGISTICS,
2025-2032 (USD BILLION) 331
TABLE 273 ARTIFICIAL INTELLIGENCE MARKET, BY GOVERNMENT & DEFENSE, 2020-2024 (USD BILLION) 333
TABLE 274 ARTIFICIAL INTELLIGENCE MARKET, BY GOVERNMENT & DEFENSE,
2025-2032 (USD BILLION) 333
TABLE 275 ARTIFICIAL INTELLIGENCE MARKET, BY HEALTHCARE & LIFE SCIENCES,
2020-2024 (USD BILLION) 335
TABLE 276 ARTIFICIAL INTELLIGENCE MARKET, BY HEALTHCARE & LIFE SCIENCES,
2025-2032 (USD BILLION) 335
TABLE 277 ARTIFICIAL INTELLIGENCE MARKET, BY TELECOMMUNICATIONS,
2020-2024 (USD BILLION) 337
TABLE 278 ARTIFICIAL INTELLIGENCE MARKET, BY TELECOMMUNICATIONS,
2025-2032 (USD BILLION) 337
TABLE 279 ARTIFICIAL INTELLIGENCE MARKET, BY ENERGY & UTILITIES,
2020-2024 (USD BILLION) 339
TABLE 280 ARTIFICIAL INTELLIGENCE MARKET, BY ENERGY & UTILITIES,
2025-2032 (USD BILLION) 339
TABLE 281 ARTIFICIAL INTELLIGENCE MARKET, BY MANUFACTURING,
2020-2024 (USD BILLION) 341
TABLE 282 ARTIFICIAL INTELLIGENCE MARKET, BY MANUFACTURING,
2025-2032 (USD BILLION) 341
TABLE 283 ARTIFICIAL INTELLIGENCE MARKET, BY SOFTWARE & TECHNOLOGY PROVIDERS, 2020-2024 (USD BILLION) 343
TABLE 284 ARTIFICIAL INTELLIGENCE MARKET, BY SOFTWARE & TECHNOLOGY PROVIDERS, 2025-2032 (USD BILLION) 343
TABLE 285 ARTIFICIAL INTELLIGENCE MARKET, BY MEDIA AND ENTERTAINMENT, 2020-2024 (USD BILLION) 345
TABLE 286 ARTIFICIAL INTELLIGENCE MARKET, BY MEDIA AND ENTERTAINMENT, 2025-2032 (USD BILLION) 346
TABLE 287 OTHER ENTERPRISES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION,
2020-2024 (USD BILLION) 348
TABLE 288 OTHER ENTERPRISES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION,
2025-2032 (USD BILLION) 348
TABLE 289 ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2020-2024 (USD BILLION) 351
TABLE 290 ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2025-2032 (USD BILLION) 351
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