← 產業報告目錄

AI Platform Market by Offering (Conversational AI, Generative AI, AI Agent, Deep Learning, Edge AI, AI API, MLOps, Data Mesh, Data Science Platforms), Functionality (Data Management, Model Development, Deployment, Training) - Global Forecast to 2030

出版商 MarketsandMarkets產業別 ICT & Media出版日期 2025-08-06頁數 325報告編號 TC5742

授權報價

Single User Licence$4,950 USD
Multi User Licence$6,650 USD
Corporate User Licence$8,150 USD
Global User Licence$10,000 USD
洽詢購買 申請 Sample

報告摘要

The AI platform market is expanding rapidly, with a projected market size rising from USD 18.22 billion in 2025 to USD 94.30 billion by 2030, at a CAGR of 38.9% during the forecast period. The market is driven by the increasing demand for automation, growing adoption of AI across industries (healthcare, finance, and retail), and advancements in machine learning and cloud computing. Businesses seek efficiency and data-driven decision-making, further fuelling demand. However, restraints include high implementation costs and regulatory challenges, which can slow down adoption and scalability. “By platform type, AI infrastructure & enablement is expected to account for the second fastest growth rate during the forecast period” By platform type, the AI infrastructure & enablement segment is expected to account for the second fastest growth rate during the forecast period in the AI platform market. This growth is driven by the rising demand for high-performance computing resources, data storage, and scalable cloud infrastructure needed to support complex AI workloads. Organizations increasingly require robust infrastructure to train, deploy, and manage AI models efficiently. Key components include GPUs, data lakes, ML frameworks, and orchestration tools. The increase in AI adoption across various industries is driving greater investment in supporting technologies. “By enterprise end user, software & technology segment will hold the largest market share during the forecast period” By enterprise end user, the software & technology segment is expected to hold the largest market share in the AI platform market during the forecast period. This is primarily due to the sector’s early adoption and integration of AI for software development, cybersecurity, data analytics, and IT operations. Tech companies are at the forefront of innovation, investing heavily in AI to enhance product offerings, improve customer experience, and gain a competitive advantage. Their infrastructure is also well-suited to support AI platforms, including robust cloud environments and data processing capabilities. Additionally, the availability of skilled professionals in this sector enables faster deployment and scaling of AI solutions. As a result, the software & technology industry continues to lead AI adoption among enterprise end users. “North America leads in market share while Asia Pacific emerges as the fastest-growing region in the AI platform market” North America leads in market share, while Asia Pacific emerges as the fastest-growing region in the AI platform market. North America’s dominance is attributed to its strong technological ecosystem, early adoption of AI across industries, and presence of major AI platform providers such as Google, Microsoft, and IBM. The region benefits from high R&D investment, advanced infrastructure, and a large pool of skilled professionals. In contrast, Asia Pacific is experiencing the fastest growth due to increasing digital transformation, government-led AI initiatives, and growing adoption in China, India, and Japan. Rapid industrialization, expanding tech startups, and rising demand for automation in sectors such as manufacturing, healthcare, and finance are driving this growth. While North America sets the pace in maturity, Asia Pacific is quickly narrowing the gap with aggressive investments and 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 platform market.  By Company: Tier I – 15%, Tier II – 42%, and Tier III – 43%  By Designation: C-Level Executives – 65%, D-Level Executives –23%, and Others – 12%  By Region: North America – 40%, Europe – 30%, Asia Pacific – 20%, Middle East & Africa – 5%, and Latin America – 5% The report includes a study of key players in the AI platform market. It profiles major market vendors, including Google (US), Microsoft (US), IBM (US), Intel (US), Infosys (India), Wipro (India), Salesforce (US), HPE (US), Insight (US), NVIDIA (US), Alibaba Cloud (China), AWS (US), SAP (Germany), Palantir (US), Oracle (US), ServiceNow (US), Databricks (US), OpenAI (US), Altair (US), Dataiku (US), Cohere (Canada), H2O.ai (US), Vital AI (US), Rainbird Technologies (UK), Arize AI (US), CalypsoAI (US), Clarifai (US), Anyscale (US), Weights & Biases (US), Iguazio (Israel), Mistral AI (France), Baseten (US), Lightning AI (US), and Anthropic (US). Research Coverage This research report categorizes the AI platform market based on offering (platform type (AI development platforms, AI lifecycle management platforms, and AI infrastructure & enablement), and deployment mode (cloud & on-premises)), functionality (data management & preparation, model development & training, model deployment & serving, monitoring & maintenance, model governance & compliance, model fine-tuning & personalization, explainability & bias tools, and security & privacy), user type (data scientists & ML engineers, MLOps/AI engineers, business analysts & citizen developers, AI product managers, and IT & cloud architects), end user (individual and enterprises (healthcare & life sciences, BFSI, retail & e-commerce, transportation & logistics, automotive & mobility, telecommunications, government & defence, energy & utilities, manufacturing, software & technology, media and entertainment, and others), 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 platform market. A detailed analysis of the key industry players was done to provide insights into their business overview, solutions, and services; key strategies; contracts, partnerships, agreements, new product & service launches, and mergers and acquisitions; and recent developments associated with the AI platform market. Competitive analysis of upcoming startups in the AI platform market ecosystem was also covered in this report. 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 platform market and its subsegments. It would help stakeholders understand the competitive landscape and gain more insights to better 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 into the following pointers: • Analysis of key drivers (Demand for cross-model orchestration and agentic workflow integration, Adoption of domain-tuned foundation models with compliance-ready pipelines, Enterprise migration from model prototyping to productization), restraints (Platform redundancy and feature saturation, Lack of evaluation standards for generative AI, High inference and fine-tuning costs for SMEs), opportunities (Fusion of AI platforms with business automation stacks, Middleware abstraction for model interoperability, Accelerating AI development with privacy-first synthetic data), and challenges (Regulatory burden on model deployment and platform fatigue from toolchain fragmentation) • Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the AI platform market • Market Development: Comprehensive information about lucrative markets – analyzing the AI Platform market across varied regions • Market Diversification: Exhaustive information about new products, untapped geographies, recent developments, and investments in the AI platform market • Competitive Assessment: In-depth assessment of market shares, growth strategies and service offerings of leading players such as Google (US), Microsoft (US), IBM (US), Intel (US), Infosys (India), Wipro (India), Salesforce (US), HPE (US), Insight (US), NVIDIA (US), Alibaba Cloud (China), AWS (US), SAP (Germany), Palantir (US), Oracle (US), ServiceNow (US), Databricks (US), OpenAI (US), Altair (US), Dataiku (US), Cohere (Canada), H2O.ai (US), Vital AI (US), Rainbird Technologies (UK), Arize AI (US), CalypsoAI (US), Clarifai (US), Anyscale (US), Weights & Biases (US), Iguazio (Israel), Mistral AI (France), Baseten (US), Lightning AI (US), and Anthropic (US). The report also helps stakeholders understand the pulse of the AI platform market and provides them with information on key market drivers, restraints, challenges, and opportunities.
目錄 Table of Contents
1 INTRODUCTION 30 1.1 STUDY OBJECTIVES 30 1.2 MARKET DEFINITION AND SCOPE 30 1.2.1 INCLUSIONS AND EXCLUSIONS 31 1.3 MARKET SCOPE 32 1.3.1 MARKET SEGMENTATION 32 1.3.2 YEARS CONSIDERED 33 1.4 CURRENCY CONSIDERED 33 1.5 STAKEHOLDERS 33 1.6 SUMMARY OF CHANGES 34 2 RESEARCH METHODOLOGY 35 2.1 RESEARCH DATA 35 2.1.1 SECONDARY DATA 36 2.1.2 PRIMARY DATA 36 2.1.2.1 List of primary participants 37 2.1.2.2 Breakdown of primaries 37 2.1.2.3 Key industry insights 37 2.2 MARKET BREAKUP AND DATA TRIANGULATION 38 2.3 MARKET SIZE ESTIMATION 39 2.3.1 TOP-DOWN APPROACH 39 2.3.2 BOTTOM-UP APPROACH 40 2.4 MARKET FORECAST 43 2.5 RESEARCH ASSUMPTIONS 44 2.6 RESEARCH LIMITATIONS 46 3 EXECUTIVE SUMMARY 47 4 PREMIUM INSIGHTS 52 4.1 ATTRACTIVE OPPORTUNITIES IN AI PLATFORM MARKET 52 4.2 AI PLATFORM MARKET: TOP THREE FUNCTIONALITIES 53 4.3 NORTH AMERICA: AI PLATFORM MARKET, BY OFFERING AND FUNCTIONALITY 53 4.4 AI PLATFORM MARKET, BY REGION 54   5 MARKET OVERVIEW AND INDUSTRY TRENDS 55 5.1 INTRODUCTION 55 5.2 MARKET DYNAMICS 55 5.2.1 DRIVERS 56 5.2.1.1 Demand for cross-model orchestration and agentic workflow integration 56 5.2.1.2 Adoption of domain-tuned foundation models with compliance-ready pipelines 56 5.2.1.3 Enterprise migration from model prototyping to productization 56 5.2.2 RESTRAINTS 57 5.2.2.1 Platform redundancy and feature saturation 57 5.2.2.2 Lack of evaluation standards for generative AI 57 5.2.2.3 High inference and fine-tuning costs for SMEs 57 5.2.3 OPPORTUNITIES 58 5.2.3.1 Fusion of AI platforms with business automation stacks 58 5.2.3.2 Middleware abstraction for model interoperability 58 5.2.3.3 Accelerating AI development with privacy-first synthetic data 58 5.2.4 CHALLENGES 59 5.2.4.1 Regulatory burden on model deployment 59 5.2.4.2 Platform fatigue from toolchain fragmentation 59 5.3 EVOLUTION OF AI PLATFORM MARKET 60 5.4 SUPPLY CHAIN ANALYSIS 61 5.5 ECOSYSTEM ANALYSIS 63 5.5.1 AI PLATFORM MARKET, BY OFFERING 64 5.5.1.1 AI Development Platforms 64 5.5.1.2 AI Lifecycle Management Platforms 64 5.5.1.3 AI Infrastructure & Enablement 65 5.6 TECHNOLOGY ANALYSIS 65 5.6.1 KEY TECHNOLOGIES 65 5.6.1.1 Generative AI 65 5.6.1.2 Autonomous AI & Autonomous Agents 65 5.6.1.3 AutoML 65 5.6.1.4 Causal AI 66 5.6.1.5 MLOps 66 5.6.2 COMPLEMENTARY TECHNOLOGIES 66 5.6.2.1 Blockchain 66 5.6.2.2 Edge Computing 66 5.6.2.3 Cybersecurity 66 5.6.3 ADJACENT TECHNOLOGIES 66 5.6.3.1 Predictive Analytics 66 5.6.3.2 IoT 67 5.6.3.3 Big Data 67 5.6.3.4 Augmented Reality/Virtual Reality 67 5.7 CASE STUDY ANALYSIS 67 5.7.1 CASE STUDY 1: IMERYS DEPLOYED ENTERPRISE AI CHAT TO BOOST PRODUCTIVITY AND DATA ACCESS 67 5.7.2 CASE STUDY 2: BASISAI AUTOMATED ML DEPLOYMENT TO SPEED UP AI DEVELOPMENT LIFECYCLE 68 5.7.3 CASE STUDY 3: AT&T LEVERAGED AI PLATFORM TO COMBAT FRAUD AND IMPROVE NETWORK EFFICIENCY 68 5.7.4 CASE STUDY 4: BMW DEPLOYED GEN AI FOR SMARTER PROCUREMENT ANALYSIS 68 5.7.5 CASE STUDY 5: MOVEWORKS DEPLOYED AI PLATFORM TO AUTOMATE EMPLOYEE SUPPORT AT SCALE 69 5.8 PORTER’S FIVE FORCES ANALYSIS 69 5.8.1 THREAT OF NEW ENTRANTS 70 5.8.2 THREAT OF SUBSTITUTES 70 5.8.3 BARGAINING POWER OF SUPPLIERS 70 5.8.4 BARGAINING POWER OF BUYERS 71 5.8.5 INTENSITY OF COMPETITIVE RIVALRY 71 5.9 TRENDS/DISRUPTIONS IMPACTING CUSTOMERS’ BUSINESSES 71 5.10 REGULATORY LANDSCAPE 72 5.10.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 72 5.10.2 REGULATIONS: ARTIFICIAL INTELLIGENCE 75 5.10.2.1 North America 75 5.10.2.1.1 SCR 17: Artificial Intelligence Bill (California) 75 5.10.2.1.2 S1103: Artificial Intelligence Automated Decision Bill (Connecticut) 75 5.10.2.1.3 National Artificial Intelligence Initiative Act (NAIIA) 76 5.10.2.1.4 The Artificial Intelligence and Data Act (AIDA) - Canada 76 5.10.2.2 Europe 76 5.10.2.2.1 The European Union (EU) - Artificial Intelligence Act (AIA) 76 5.10.2.2.2 General Data Protection Regulation (Europe) 77 5.10.2.3 Asia Pacific 77 5.10.2.3.1 Interim Administrative Measures for Generative Artificial Intelligence Services (China) 77 5.10.2.3.2 The National AI Strategy (Singapore) 77 5.10.2.3.3 The Hiroshima AI Process Comprehensive Policy Framework (Japan) 78 5.10.2.4 Middle East & Africa 78 5.10.2.4.1 The National Strategy for Artificial Intelligence (UAE) 78 5.10.2.4.2 Impact on AI Platform Market 78 5.10.2.4.3 The National Artificial Intelligence Strategy (Qatar) 79 5.10.2.4.4 Impact on AI Platform Market 79 5.10.2.4.5 The AI Ethics Principles and Guidelines (Dubai) 79 5.10.2.4.6 Impact on AI Platform Market 79 5.10.2.5 Latin America 79 5.10.2.5.1 The Santiago Declaration (Chile) 79 5.10.2.5.2 The Brazilian Artificial Intelligence Strategy (EBIA) 80 5.11 PATENT ANALYSIS 80 5.11.1 METHODOLOGY 80 5.11.2 PATENTS FILED, BY DOCUMENT TYPE 80 5.11.3 INNOVATION AND PATENT APPLICATIONS 80 5.12 INVESTMENT AND FUNDING SCENARIO 85 5.13 PRICING ANALYSIS 86 5.13.1 AVERAGE SELLING PRICE OF OFFERING, BY KEY PLAYER, 2025 86 5.13.2 INDICATIVE PRICING ANALYSIS, BY FUNCTIONALITY, 2025 88 5.14 KEY CONFERENCES AND EVENTS (2025–2026) 89 5.15 KEY STAKEHOLDERS AND BUYING CRITERIA 90 5.15.1 KEY STAKEHOLDERS IN BUYING PROCESS 90 5.15.2 BUYING CRITERIA 90 5.16 CUSTOMER SEGMENTATION & BUYER PERSONAS 91 5.16.1 KEY BUYER ARCHETYPES 91 5.16.2 KEY INDUSTRY-SPECIFIC BUYER SEGMENTATION 92 5.16.3 BUYER JOURNEY MAPPING 92 5.17 TECHNOLOGY ROADMAP & INNOVATION DIRECTIONS 93 5.17.1 TECHNOLOGY ROADMAP & CAPABILITY AREA 93 5.17.2 AI PLATFORM CAPABILITY MATURITY FRAMEWORK 93 5.18 PARTNERSHIPS & ECOSYSTEM STRATEGIES 93 5.18.1 PARTNERSHIPS & ECOSYSTEM STRATEGIES 94 5.19 KEY SUCCESS FACTORS FOR BUYERS 95 5.19.1 CHECKLIST FOR SUSTAINABLE AND STRATEGIC AI PLATFORM INVESTMENTS 95 6 AI PLATFORM MARKET, BY OFFERING 96 6.1 INTRODUCTION 97 6.1.1 OFFERINGS: AI PLATFORM MARKET DRIVERS 97 6.2 AI DEVELOPMENT PLATFORMS 98 6.2.1 AI DEVELOPMENT PLATFORMS EMPOWER FASTER, SCALABLE AI APPLICATION DEVELOPMENT, DRIVING INNOVATION AND OPERATIONAL EFFICIENCY ACROSS INDUSTRIES 98 6.2.2 DEEP LEARNING PLATFORMS 99 6.2.3 GENERATIVE AI PLATFORMS 99 6.2.4 CONVERSATIONAL AI PLATFORMS 100 6.2.5 EDGE AI PLATFORMS 100 6.2.6 AI AGENT PLATFORMS 100 6.2.7 ANNOTATION & DATA LABELING PLATFORMS 101 6.2.8 OPEN-SOURCE MODEL PLATFORMS 101   6.3 AI LIFECYCLE MANAGEMENT PLATFORMS 101 6.3.1 AI LIFECYCLE MANAGEMENT PLATFORMS ENSURE SCALABLE, COMPLIANT, AND RELIABLE AI DEPLOYMENTS, DRIVING ENTERPRISE READINESS FOR PRODUCTION-GRADE AI 101 6.3.2 MLOPS PLATFORMS 102 6.3.3 LLMOPS PLATFORMS 102 6.3.4 MODEL EVALUATION & GOVERNANCE PLATFORMS 103 6.3.5 DRIFT DETECTION & MONITORING PLATFORMS 103 6.3.6 EXPLAINABILITY & RESPONSIBLE AI TOOLS 103 6.4 AI ENABLEMENT SERVICES 104 6.4.1 AI ENABLEMENT SERVICES GUIDE ENTERPRISES THROUGH STRATEGY, DEPLOYMENT, AND MANAGEMENT OF AI, ACCELERATING ADOPTION WHILE REDUCING RISKS AND COMPLEXITIES 104 6.4.2 STRATEGIC AI PLANNING 105 6.4.3 MODEL DEVELOPMENT & DEPLOYMENT 105 6.4.4 MODEL IMPLEMENTATION & MAINTENANCE 105 6.4.5 DISCOVERY AND EVALUATION 106 7 AI PLATFORM MARKET, BY FUNCTIONALITY 107 7.1 INTRODUCTION 108 7.1.1 FUNCTIONALITIES: AI PLATFORM MARKET DRIVERS 108 7.2 DATA MANAGEMENT & PREPARATION 110 7.2.1 ENABLE ACCURATE, COMPLIANT, AND SCALABLE AI PROJECTS WITH STRONG DATA MANAGEMENT AND PREPARATION TOOLS 110 7.3 MODEL DEVELOPMENT & TRAINING 111 7.3.1 ACCELERATE AI INNOVATION WITH EFFICIENT, SCALABLE, AND COLLABORATIVE MODEL DEVELOPMENT AND TRAINING CAPABILITIES 111 7.4 MODEL DEPLOYMENT & SERVING 112 7.4.1 ENSURE RELIABLE, FLEXIBLE, AND REAL-TIME AI DELIVERY WITH ADVANCED MODEL DEPLOYMENT AND SERVING FUNCTIONALITIES 112 7.5 MONITORING & MAINTENANCE 113 7.5.1 MAINTAIN HIGH-PERFORMING, RISK-RESILIENT AI SYSTEMS WITH PROACTIVE MONITORING AND MAINTENANCE TOOLS 113 7.6 MODEL GOVERNANCE & COMPLIANCE 114 7.6.1 ENSURE RESPONSIBLE, AUDITABLE, AND COMPLIANT AI OPERATIONS WITH EMBEDDED GOVERNANCE FUNCTIONALITIES 114 7.7 MODEL FINE-TUNING & PERSONALIZATION 115 7.7.1 ACHIEVE HIGHER ACCURACY AND PERSONALIZATION WITH EFFICIENT FINE-TUNING AND CUSTOMIZATION FUNCTIONALITIES 115 7.8 EXPLAINABILITY & BIAS TOOLS 116 7.8.1 ENHANCE AI TRUSTWORTHINESS AND FAIRNESS WITH ADVANCED EXPLAINABILITY AND BIAS MITIGATION TOOLS 116 7.9 SECURITY & PRIVACY 117 7.9.1 SECURE AI DEPLOYMENTS WITH PRIVACY-PRESERVING TECHNOLOGIES AND ROBUST CYBERSECURITY PROTECTIONS 117 8 AI PLATFORM MARKET, BY USER TYPE 118 8.1 INTRODUCTION 119 8.1.1 USER TYPES: AI PLATFORM MARKET DRIVERS 119 8.1.2 DATA SCIENTISTS & ML ENGINEERS 120 8.1.2.1 Building differentiated models using open frameworks and proprietary data 120 8.1.3 MLOPS/AI ENGINEERS 121 8.1.3.1 Automating lifecycle management for scalable model operations 121 8.1.4 BUSINESS ANALYSTS & CITIZEN DEVELOPERS 122 8.1.4.1 Unlocking business value through no-code AI enablement 122 8.1.5 AI PRODUCT MANAGERS 123 8.1.5.1 Connecting model performance to product and customer impact 123 8.1.6 IT & CLOUD ARCHITECTS 124 8.1.6.1 Deploying secure, compliant infrastructure for enterprise-scale AI 124 9 AI PLATFORM MARKET, BY END USER 126 9.1 INTRODUCTION 127 9.1.1 END USERS: AI PLATFORM MARKET DRIVERS 127 9.2 ENTERPRISES 128 9.2.1 HEALTHCARE & LIFE SCIENCES 130 9.2.1.1 AI platforms transforming healthcare and life sciences by enhancing diagnostics, accelerating drug development, and enabling personalized, data-driven care delivery 130 9.2.1.2 Healthcare providers 131 9.2.1.3 Pharmaceuticals & biotech sector 131 9.2.1.4 Medtech 132 9.2.2 BFSI 132 9.2.2.1 BFSI organizations leveraging AI platforms to drive intelligent automation, enhance fraud prevention, and offer personalized financial services at scale 132 9.2.2.2 Banking 133 9.2.2.3 Financial services 133 9.2.2.4 Insurance 133 9.2.3 RETAIL & E-COMMERCE 134 9.2.3.1 Retail & e-commerce firms use AI platforms to personalize customer journeys, streamline operations, and drive smarter inventory and pricing decisions. 134 9.2.4 TRANSPORTATION & LOGISTICS 135 9.2.4.1 AI enhances fleet efficiency and real-time supply chain visibility 135 9.2.5 AUTOMOTIVE & MOBILITY 136 9.2.5.1 AI platforms transforming automotive industry by enabling autonomous features, predictive maintenance, and real-time vehicle intelligence 136   9.2.6 TELECOMMUNICATIONS 137 9.2.6.1 Telecom companies use AI platforms to automate network management, enable predictive maintenance, and deploy intelligent customer services 137 9.2.7 GOVERNMENT & DEFENSE 138 9.2.7.1 AI platforms enabling governments and defense agencies to build secure, scalable AI solutions for intelligence, public safety, and operational planning 138 9.2.8 ENERGY & UTILITIES 139 9.2.8.1 AI platforms help energy and utility providers optimize grid operations, forecast demand, and manage assets through centralized, scalable model deployment 139 9.2.8.2 Oil and gas 139 9.2.8.3 Power generation 140 9.2.8.4 Utilities 140 9.2.9 MANUFACTURING 140 9.2.9.1 AI platforms enable manufacturers to automate production, predict equipment failures, and improve quality control 140 9.2.9.2 Discrete manufacturing 141 9.2.9.3 Process manufacturing 141 9.2.10 SOFTWARE & TECHNOLOGY 142 9.2.10.1 AI platforms accelerating model development, testing, and deployment for tech firms building intelligent applications 142 9.2.11 MEDIA & ENTERTAINMENT 143 9.2.11.1 AI platforms help media companies personalize content, automate editing, and optimize distribution 143 9.2.12 OTHER ENTERPRISE END USERS 144 9.3 INDIVIDUAL USERS 145 9.3.1 AI PLATFORMS EMPOWER INDIVIDUAL USERS WITH TOOLS FOR LOW-CODE MODEL BUILDING, DATA EXPLORATION, AND PERSONAL AUTOMATION 145 10 AI PLATFORM MARKET, BY REGION 146 10.1 INTRODUCTION 147 10.2 NORTH AMERICA 149 10.2.1 NORTH AMERICA: AI PLATFORM MARKET DRIVERS 149 10.2.2 NORTH AMERICA: MACROECONOMIC OUTLOOK 149 10.2.3 US 154 10.2.3.1 Federal mandates and hyperscaler innovation drive enterprise-grade AI platform adoption 154 10.2.4 CANADA 155 10.2.4.1 Ethical AI leadership and public-sector investments fuel Canada's pragmatic platform growth 155   10.3 EUROPE 156 10.3.1 EUROPE: AI PLATFORM MARKET DRIVERS 156 10.3.2 EUROPE: MACROECONOMIC OUTLOOK 156 10.3.3 UK 161 10.3.3.1 UK blends AI safety leadership with targeted platform deployment in health and finance 161 10.3.4 GERMANY 161 10.3.4.1 Germany integrates AI platforms into smart manufacturing via deep industrial digitalization 161 10.3.5 FRANCE 162 10.3.5.1 France prioritizes sovereign AI platforms with open-source momentum and industrial backing 162 10.3.6 ITALY 163 10.3.6.1 Driving integration of climate and environmental risks into financial governance in Italy 163 10.3.7 SPAIN 164 10.3.7.1 Spain champions inclusive AI platforms through public-sector innovation and smart logistics 164 10.3.8 REST OF EUROPE 165 10.4 ASIA PACIFIC 165 10.4.1 ASIA PACIFIC: AI PLATFORM MARKET DRIVERS 166 10.4.2 ASIA PACIFIC: MACROECONOMIC OUTLOOK 166 10.4.3 CHINA 171 10.4.3.1 China scales sovereign AI platforms across industries under national compute and LLM push 171 10.4.4 JAPAN 172 10.4.4.1 Japan focuses on trusted, explainable AI platforms for aging society and industrial resilience 172 10.4.5 INDIA 173 10.4.5.1 India advances inclusive, mobile-first AI platforms for public health, agriculture, and education 173 10.4.6 AUSTRALIA & NEW ZEALAND 174 10.4.6.1 Australia and New Zealand embed ethics and sustainability into government-led AI platforms 174 10.4.7 ASEAN 175 10.4.7.1 ASEAN scales modular AI platforms via SME enablement and regional policy coordination 175 10.4.8 SOUTH KOREA 175 10.4.8.1 South Korea drives enterprise-grade AI platforms with edge inferencing and HyperCLOVA integration 175 10.4.9 REST OF ASIA PACIFIC 176   10.5 MIDDLE EAST & AFRICA 177 10.5.1 MIDDLE EAST & AFRICA: AI PLATFORM MARKET DRIVERS 177 10.5.2 MIDDLE EAST & AFRICA: MACROECONOMIC OUTLOOK 178 10.5.3 SAUDI ARABIA 182 10.5.3.1 Sovereign AI investments and Arabic LLMs drive platform adoption across sectors 182 10.5.4 UNITED ARAB EMIRATES (UAE) 183 10.5.4.1 Innovation hubs and sovereign cloud investments accelerate AI platform commercialization 183 10.5.5 SOUTH AFRICA 184 10.5.5.1 Telecom-driven edge AI and enterprise digitalization expand platform opportunities 184 10.5.6 TURKEY 185 10.5.6.1 Public AI initiatives and academic R&D spur demand for ML platforms and edge AI 185 10.5.7 QATAR 186 10.5.7.1 State-driven AI adoption focuses on Arabic NLP and smart city platforms 186 10.5.8 EGYPT 187 10.5.8.1 AI platform adoption tied to public sector digitalization and telecom-led edge deployments 187 10.5.9 KUWAIT 188 10.5.9.1 Digital government initiatives drive demand for conversational AI and LLM platforms 188 10.5.10 REST OF MIDDLE EAST & AFRICA 189 10.6 LATIN AMERICA 189 10.6.1 LATIN AMERICA: AI PLATFORM MARKET DRIVERS 190 10.6.2 LATIN AMERICA: MACROECONOMIC OUTLOOK 190 10.6.3 BRAZIL 195 10.6.3.1 Digital government initiatives and enterprise AI investments drive platform commercialization 195 10.6.4 MEXICO 196 10.6.4.1 Financial services and public digitalization initiatives accelerate AI platform deployment 196 10.6.5 ARGENTINA 197 10.6.5.1 Public sector AI adoption and academic partnerships foster platform experimentation 197 10.6.6 CHILE 198 10.6.6.1 Public innovation programs and cloud expansion stimulate AI platform adoption 198 10.6.7 REST OF LATIN AMERICA 199   11 COMPETITIVE LANDSCAPE 200 11.1 OVERVIEW 200 11.2 KEY PLAYER STRATEGIES/RIGHT TO WIN, 2022–2025 200 11.3 REVENUE ANALYSIS, 2020–2024 202 11.4 MARKET SHARE ANALYSIS, 2024 203 11.4.1 MARKET RANKING ANALYSIS 204 11.5 PRODUCT COMPARATIVE ANALYSIS 206 11.5.1 PRODUCT COMPARATIVE ANALYSIS OF AI PLATFORMS 206 11.6 COMPANY VALUATION AND FINANCIAL METRICS 207 11.7 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2024 208 11.7.1 STARS 208 11.7.2 EMERGING LEADERS 208 11.7.3 PERVASIVE PLAYERS 208 11.7.4 PARTICIPANTS 209 11.7.5 COMPANY FOOTPRINT: KEY PLAYERS, 2024 210 11.7.5.1 Company Footprint 210 11.7.5.2 Regional Footprint 211 11.7.5.3 Offering Footprint 212 11.7.5.4 Functionality Footprint 213 11.7.5.5 End User Footprint 214 11.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2024 215 11.8.1 PROGRESSIVE COMPANIES 215 11.8.2 RESPONSIVE COMPANIES 215 11.8.3 DYNAMIC COMPANIES 215 11.8.4 STARTING BLOCKS 215 11.8.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2024 217 11.8.5.1 Detailed list of key startups/SMEs 217 11.8.5.2 Competitive benchmarking of key startups/SMEs 218 11.9 COMPANY EVALUATION MATRIX: AI ENABLEMENT SERVICES, 2024 219 11.9.1 PROGRESSIVE COMPANIES 219 11.9.2 RESPONSIVE COMPANIES 219 11.9.3 DYNAMIC COMPANIES 219 11.9.4 STARTING BLOCKS 219 11.9.5 COMPETITIVE BENCHMARKING: AI ENABLEMENT SERVICES, 2024 221 11.9.5.1 Detailed list of key AI enablement services 221 11.9.5.2 Competitive benchmarking of AI enablement services 222 11.10 COMPETITIVE SCENARIO AND TRENDS 222 11.10.1 PRODUCT LAUNCHES AND ENHANCEMENTS 222 11.10.2 DEALS 224   12 COMPANY PROFILES 227 12.1 INTRODUCTION 227 12.2 MAJOR PLAYERS 227 12.2.1 GOOGLE 227 12.2.1.1 Business overview 227 12.2.1.2 Products offered 228 12.2.1.3 Recent developments 229 12.2.1.4 MnM view 234 12.2.1.4.1 Key strengths/Right to win 234 12.2.1.4.2 Strategic choices 234 12.2.1.4.3 Weaknesses and competitive threats 234 12.2.2 MICROSOFT 235 12.2.2.1 Business overview 235 12.2.2.2 Products offered 236 12.2.2.3 Recent developments 237 12.2.2.4 MnM view 240 12.2.2.4.1 Key strengths/Right to win 240 12.2.2.4.2 Strategic choices 241 12.2.2.4.3 Weaknesses and competitive threats 241 12.2.3 IBM 242 12.2.3.1 Business overview 242 12.2.3.2 Products offered 243 12.2.3.3 Recent developments 244 12.2.3.4 MnM view 247 12.2.3.4.1 Key strengths/Right to win 247 12.2.3.4.2 Strategic choices 247 12.2.3.4.3 Weaknesses and competitive threats 247 12.2.4 ORACLE 248 12.2.4.1 Business overview 248 12.2.4.2 Products offered 249 12.2.4.3 Recent developments 250 12.2.4.4 MnM view 252 12.2.4.4.1 Key strengths/Right to win 252 12.2.4.4.2 Strategic choices 252 12.2.4.4.3 Weaknesses and competitive threats 252 12.2.5 AWS 253 12.2.5.1 Business overview 253 12.2.5.2 Products offered 254 12.2.5.3 Recent developments 254 12.2.5.4 MnM view 256 12.2.5.4.1 Key strengths/Right to win 256 12.2.5.4.2 Strategic choices 257 12.2.5.4.3 Weaknesses and competitive threats 257 12.2.6 INTEL 258 12.2.6.1 Business overview 258 12.2.6.2 Products offered 259 12.2.6.3 Recent developments 260 12.2.7 SALESFORCE 261 12.2.7.1 Business overview 261 12.2.7.2 Products offered 262 12.2.7.3 Recent developments 263 12.2.8 SAP 265 12.2.8.1 Business overview 265 12.2.8.2 Products offered 266 12.2.8.3 Recent developments 267 12.2.9 SERVICENOW 269 12.2.9.1 Business overview 269 12.2.9.2 Products offered 270 12.2.9.3 Recent developments 271 12.2.10 NVIDIA 272 12.2.10.1 Business overview 272 12.2.10.2 Products offered 273 12.2.10.3 Recent developments 274 12.2.11 OPENAI 277 12.2.12 ALIBABA CLOUD 278 12.2.13 HPE 279 12.2.14 DATABRICKS 280 12.2.15 INSIGHT 280 12.2.16 PALANTIR 281 12.2.17 ALTAIR 282 12.2.18 DATAIKU 283 12.3 STARTUP/SME PROFILES 284 12.3.1 H2O.AI 284 12.3.2 ANTHROPIC 285 12.3.3 COHERE 286 12.3.4 ANYSCALE 287 12.3.5 DATAROBOT 288 12.3.6 VITAL AI 289 12.3.7 RAINBIRD TECHNOLOGIES 290 12.3.8 ARIZE AI 291 12.3.9 CALYPSOAI 292 12.3.10 CLARIFAI 293 12.3.11 WEIGHTS & BIASES 294 12.3.12 ELVEX 295 12.3.13 IGUAZIO 296 12.3.14 MISTRAL AI 297 12.3.15 BASETEN 298 12.3.16 LIGHTNING AI 299 12.3.17 PROWESS CONSULTING 300 12.3.18 DEVTECH 300 12.3.19 ZYXWARE TECHNOLOGIES 301 12.3.20 FLUIDONE 301 12.3.21 AHELIOTECH 302 12.3.22 ORIL 302 12.3.23 CONVERSANT SOLUTIONS 303 13 ADJACENT AND RELATED MARKETS 304 13.1 INTRODUCTION 304 13.2 AI TOOLKIT MARKET - GLOBAL FORECAST TO 2028 304 13.2.1 MARKET DEFINITION 304 13.2.2 MARKET OVERVIEW 304 13.2.2.1 AI toolkit market, by offering 305 13.2.2.2 AI toolkit market, by technology 306 13.2.2.3 AI toolkit market, by vertical 306 13.2.2.4 AI toolkit market, by region 308 13.3 NO-CODE AI PLATFORMS MARKET - GLOBAL FORECAST TO 2029 309 13.3.1 MARKET DEFINITION 309 13.3.2 MARKET OVERVIEW 309 13.3.2.1 No-code AI platforms market, by offering 310 13.3.2.2 No-code AI platforms market, by technology 311 13.3.2.3 No-code AI platforms market, by data modality 312 13.3.2.4 No-code AI platforms market, by application 312 13.3.2.5 No-code AI platforms market, by vertical 313 13.3.2.6 No-code AI platforms market, by region 315 14 APPENDIX 316 14.1 DISCUSSION GUIDE 316 14.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 321 14.3 CUSTOMIZATION OPTIONS 323 14.4 RELATED REPORTS 323 14.5 AUTHOR DETAILS 324
圖表清單 List of Tables & Figures
TABLE 1 UNITED STATES DOLLAR EXCHANGE RATE, 2020–2024 33 TABLE 2 FACTOR ANALYSIS 43 TABLE 3 GLOBAL AI PLATFORM MARKET SIZE AND GROWTH RATE, 2020–2024 (USD MILLION, Y-O-Y %) 49 TABLE 4 GLOBAL AI PLATFORM MARKET SIZE AND GROWTH RATE, 2025–2030 (USD MILLION, Y-O-Y %) 49 TABLE 5 AI PLATFORM MARKET: ECOSYSTEM 63 TABLE 6 IMPACT OF PORTER’S FIVE FORCES ON AI PLATFORM MARKET 69 TABLE 7 NORTH AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 72 TABLE 8 EUROPE: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 73 TABLE 9 ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 74 TABLE 10 MIDDLE EAST & AFRICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 74 TABLE 11 LATIN AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 75 TABLE 12 PATENTS FILED, 2016–2025 80 TABLE 13 LIST OF TOP PATENTS IN AI PLATFORM MARKET, 2024-2025 81 TABLE 14 PRICING DATA OF AI PLATFORM MARKET, BY OFFERING 87 TABLE 15 PRICING DATA OF AI PLATFORM MARKET, BY FUNCTIONALITY 88 TABLE 16 AI PLATFORM MARKET: DETAILED LIST OF CONFERENCES AND EVENTS 89 TABLE 17 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE END USERS 90 TABLE 18 KEY BUYING CRITERIA FOR TOP THREE END USERS 91 TABLE 19 KEY BUYER ARCHETYPES AND DECISION INFLUENCE 91 TABLE 20 INDUSTRY-SPECIFIC BUYER SEGMENTATION 92 TABLE 21 TECHNOLOGY ROADMAP & CAPABILITY AREA 93 TABLE 22 PARTNERSHIP TYPE AND STRATEGIC VALUE 94 TABLE 23 KEY SUCCESS FACTORS FOR BUYERS 95 TABLE 24 AI PLATFORM MARKET, BY OFFERING, 2020–2024 (USD MILLION) 98 TABLE 25 AI PLATFORM MARKET, BY OFFERING, 2025–2030 (USD MILLION) 98 TABLE 26 AI DEVELOPMENT PLATFORMS: AI PLATFORM MARKET, BY REGION, 2020–2024 (USD MILLION) 99 TABLE 27 AI DEVELOPMENT PLATFORMS: AI PLATFORM MARKET, BY REGION, 2025–2030 (USD MILLION) 99 TABLE 28 AI LIFECYCLE MANAGEMENT PLATFORMS: AI PLATFORM MARKET, BY REGION, 2020–2024 (USD MILLION) 102 TABLE 29 AI LIFECYCLE MANAGEMENT PLATFORMS: AI PLATFORM MARKET, BY REGION, 2025–2030 (USD MILLION) 102 TABLE 30 AI ENABLEMENT SERVICES: AI PLATFORM MARKET, BY REGION, 2020–2024 (USD MILLION) 104 TABLE 31 AI ENABLEMENT SERVICES: AI PLATFORM MARKET, BY REGION, 2025–2030 (USD MILLION) 104 TABLE 32 AI PLATFORM MARKET, BY FUNCTIONALITY, 2020–2024 (USD MILLION) 109 TABLE 33 AI PLATFORM MARKET, BY FUNCTIONALITY, 2025–2030 (USD MILLION) 109 TABLE 34 DATA MANAGEMENT & PREPARATION: AI PLATFORM MARKET, BY REGION, 2020–2024 (USD MILLION) 110 TABLE 35 DATA MANAGEMENT & PREPARATION: AI PLATFORM MARKET, BY REGION, 2025–2030 (USD MILLION) 110 TABLE 36 MODEL DEVELOPMENT & TRAINING: AI PLATFORM MARKET, BY REGION, 2020–2024 (USD MILLION) 111 TABLE 37 MODEL DEVELOPMENT & TRAINING: AI PLATFORM MARKET, BY REGION, 2025–2030 (USD MILLION) 111 TABLE 38 MODEL DEPLOYMENT & SERVING: AI PLATFORM MARKET, BY REGION, 2020–2024 (USD MILLION) 112 TABLE 39 MODEL DEPLOYMENT & SERVING: AI PLATFORM MARKET, BY REGION, 2025–2030 (USD MILLION) 112 TABLE 40 MONITORING & MAINTENANCE: AI PLATFORM MARKET, BY REGION, 2020–2024 (USD MILLION) 113 TABLE 41 MONITORING & MAINTENANCE: AI PLATFORM MARKET, BY REGION, 2025–2030 (USD MILLION) 113 TABLE 42 MODEL GOVERNANCE & COMPLIANCE: AI PLATFORM MARKET, BY REGION, 2020–2024 (USD MILLION) 114 TABLE 43 MODEL GOVERNANCE & COMPLIANCE: AI PLATFORM MARKET, BY REGION, 2025–2030 (USD MILLION) 114 TABLE 44 MODEL FINE-TUNING & PERSONALIZATION: AI PLATFORM MARKET, BY REGION, 2020–2024 (USD MILLION) 115 TABLE 45 MODEL FINE-TUNING & PERSONALIZATION: AI PLATFORM MARKET, BY REGION, 2025–2030 (USD MILLION) 115 TABLE 46 EXPLAINABILITY & BIAS TOOLS: AI PLATFORM MARKET, BY REGION, 2020–2024 (USD MILLION) 116 TABLE 47 EXPLAINABILITY & BIAS TOOLS: AI PLATFORM MARKET, BY REGION, 2025–2030 (USD MILLION) 116 TABLE 48 SECURITY & PRIVACY: AI PLATFORM MARKET, BY REGION, 2020–2024 (USD MILLION) 117 TABLE 49 SECURITY & PRIVACY: AI PLATFORM MARKET, BY REGION, 2025–2030 (USD MILLION) 117 TABLE 50 AI PLATFORM MARKET, BY USER TYPE, 2020–2024 (USD MILLION) 120 TABLE 51 AI PLATFORM MARKET, BY USER TYPE, 2025–2030 (USD MILLION) 120 TABLE 52 DATA SCIENTISTS & ML ENGINEERS: AI PLATFORM MARKET, BY REGION, 2020–2024 (USD MILLION) 121 TABLE 53 DATA SCIENTISTS & ML ENGINEERS: AI PLATFORM MARKET, BY REGION, 2025–2030 (USD MILLION) 121 TABLE 54 MLOPS/AI ENGINEERS: AI PLATFORM MARKET, BY REGION, 2020–2024 (USD MILLION) 122 TABLE 55 MLOPS/AI ENGINEERS: AI PLATFORM MARKET, BY REGION, 2025–2030 (USD MILLION) 122 TABLE 56 BUSINESS ANALYSTS & CITIZEN DEVELOPERS: AI PLATFORM MARKET, BY REGION, 2020–2024 (USD MILLION) 123 TABLE 57 BUSINESS ANALYSTS & CITIZEN DEVELOPERS: AI PLATFORM MARKET, BY REGION, 2025–2030 (USD MILLION) 123 TABLE 58 AI PRODUCT MANAGERS: AI PLATFORM MARKET, BY REGION, 2020–2024 (USD MILLION) 124 TABLE 59 AI PRODUCT MANAGERS: AI PLATFORM MARKET, BY REGION, 2025–2030 (USD MILLION) 124 TABLE 60 IT & CLOUD ARCHITECTS: AI PLATFORM MARKET, BY REGION, 2020–2024 (USD MILLION) 125 TABLE 61 IT & CLOUD ARCHITECTS: AI PLATFORM MARKET, BY REGION, 2025–2030 (USD MILLION) 125 TABLE 62 AI PLATFORM MARKET, BY END USER, 2020–2024 (USD MILLION) 128 TABLE 63 AI PLATFORM MARKET, BY END USER, 2025–2030 (USD MILLION) 128 TABLE 64 AI PLATFORM MARKET, BY ENTERPRISE, 2020–2024 (USD MILLION) 129 TABLE 65 AI PLATFORM MARKET, BY ENTERPRISE, 2025–2030 (USD MILLION) 130 TABLE 66 HEALTHCARE & LIFE SCIENCES: AI PLATFORM MARKET, BY REGION, 2020–2024 (USD MILLION) 131 TABLE 67 HEALTHCARE & LIFE SCIENCES: AI PLATFORM MARKET, BY REGION, 2025–2030 (USD MILLION) 131 TABLE 68 BFSI: AI PLATFORM MARKET, BY REGION, 2020–2024 (USD MILLION) 132 TABLE 69 BFSI: AI PLATFORM MARKET, BY REGION, 2025–2030 (USD MILLION) 133 TABLE 70 RETAIL & E-COMMERCE: AI PLATFORM MARKET, BY REGION, 2020–2024 (USD MILLION) 134 TABLE 71 RETAIL & E-COMMERCE: AI PLATFORM MARKET, BY REGION, 2025–2030 (USD MILLION) 134 TABLE 72 TRANSPORTATION & LOGISTICS: AI PLATFORM MARKET, BY REGION, 2020–2024 (USD MILLION) 135 TABLE 73 TRANSPORTATION & LOGISTICS: AI PLATFORM MARKET, BY REGION, 2025–2030 (USD MILLION) 135 TABLE 74 AUTOMOTIVE & MOBILITY: AI PLATFORM MARKET, BY REGION, 2020–2024 (USD MILLION) 136 TABLE 75 AUTOMOTIVE & MOBILITY: AI PLATFORM MARKET, BY REGION, 2025–2030 (USD MILLION) 136 TABLE 76 TELECOMMUNICATIONS: AI PLATFORM MARKET, BY REGION, 2020–2024 (USD MILLION) 137 TABLE 77 TELECOMMUNICATIONS: AI PLATFORM MARKET, BY REGION, 2025–2030 (USD MILLION) 137 TABLE 78 GOVERNMENT & DEFENSE: AI PLATFORM MARKET, BY REGION, 2020–2024 (USD MILLION) 138 TABLE 79 GOVERNMENT & DEFENSE: AI PLATFORM MARKET, BY REGION, 2025–2030 (USD MILLION) 138 TABLE 80 ENERGY & UTILITIES: AI PLATFORM MARKET, BY REGION, 2020–2024 (USD MILLION) 139 TABLE 81 ENERGY & UTILITIES: AI PLATFORM MARKET, BY REGION, 2025–2030 (USD MILLION) 139 TABLE 82 MANUFACTURING: AI PLATFORM MARKET, BY REGION, 2020–2024 (USD MILLION) 141 TABLE 83 MANUFACTURING: AI PLATFORM MARKET, BY REGION, 2025–2030 (USD MILLION) 141 TABLE 84 SOFTWARE & TECHNOLOGY: AI PLATFORM MARKET, BY REGION, 2020–2024 (USD MILLION) 142 TABLE 85 SOFTWARE & TECHNOLOGY: AI PLATFORM MARKET, BY REGION, 2025–2030 (USD MILLION) 142 TABLE 86 MEDIA & ENTERTAINMENT: AI PLATFORM MARKET, BY REGION, 2020–2024 (USD MILLION) 143 TABLE 87 MEDIA & ENTERTAINMENT: AI PLATFORM MARKET, BY REGION, 2025–2030 (USD MILLION) 143 TABLE 88 OTHER ENTERPRISE END USERS: AI PLATFORM MARKET, BY REGION, 2020–2024 (USD MILLION) 144 TABLE 89 OTHER ENTERPRISE END USERS: AI PLATFORM MARKET, BY REGION, 2025–2030 (USD MILLION) 144 TABLE 90 INDIVIDUAL USERS: AI PLATFORM MARKET, BY REGION, 2020–2024 (USD MILLION) 145 TABLE 91 INDIVIDUAL USERS: AI PLATFORM MARKET, BY REGION, 2025–2030 (USD MILLION) 145 TABLE 92 AI PLATFORM MARKET, BY REGION, 2020–2024 (USD MILLION) 148 TABLE 93 AI PLATFORM MARKET, BY REGION, 2025–2030 (USD MILLION) 148 TABLE 94 NORTH AMERICA: AI PLATFORM MARKET, BY OFFERING, 2020–2024 (USD MILLION) 150 TABLE 95 NORTH AMERICA: AI PLATFORM MARKET, BY OFFERING, 2025–2030 (USD MILLION) 151 TABLE 96 NORTH AMERICA: AI PLATFORM MARKET, BY FUNCTIONALITY, 2020–2024 (USD MILLION) 151 TABLE 97 NORTH AMERICA: AI PLATFORM MARKET, BY FUNCTIONALITY, 2025–2030 (USD MILLION) 151 TABLE 98 NORTH AMERICA: AI PLATFORM MARKET, BY USER TYPE, 2020–2024 (USD MILLION) 152 TABLE 99 NORTH AMERICA: AI PLATFORM MARKET, BY USER TYPE, 2025–2030 (USD MILLION) 152 TABLE 100 NORTH AMERICA: AI PLATFORM MARKET, BY END USER, 2020–2024 (USD MILLION) 152 TABLE 101 NORTH AMERICA: AI PLATFORM MARKET, BY END USER, 2025–2030 (USD MILLION) 152 TABLE 102 NORTH AMERICA: AI PLATFORM MARKET, BY ENTERPRISE END USER, 2020–2024 (USD MILLION) 153 TABLE 103 NORTH AMERICA: AI PLATFORM MARKET, BY ENTERPRISE END USER, 2025–2030 (USD MILLION) 153 TABLE 104 NORTH AMERICA: AI PLATFORM MARKET, BY COUNTRY, 2020–2024 (USD MILLION) 154 TABLE 105 NORTH AMERICA: AI PLATFORM MARKET, BY COUNTRY, 2025–2030 (USD MILLION) 154 TABLE 106 US: AI PLATFORM MARKET, BY OFFERING, 2020–2024 (USD MILLION) 154 TABLE 107 US: AI PLATFORM MARKET, BY OFFERING, 2025–2030 (USD MILLION) 155 TABLE 108 CANADA: AI PLATFORM MARKET, BY OFFERING, 2020–2024 (USD MILLION) 155 TABLE 109 CANADA: AI PLATFORM MARKET, BY OFFERING, 2025–2030 (USD MILLION) 155 TABLE 110 EUROPE: AI PLATFORM MARKET, BY OFFERING, 2020–2024 (USD MILLION) 157 TABLE 111 EUROPE: AI PLATFORM MARKET, BY OFFERING, 2025–2030 (USD MILLION) 157 TABLE 112 EUROPE: AI PLATFORM MARKET, BY FUNCTIONALITY, 2020–2024 (USD MILLION) 157 TABLE 113 EUROPE: AI PLATFORM MARKET, BY FUNCTIONALITY, 2025–2030 (USD MILLION) 158 TABLE 114 EUROPE: AI PLATFORM MARKET, BY USER TYPE, 2020–2024 (USD MILLION) 158 TABLE 115 EUROPE: AI PLATFORM MARKET, BY USER TYPE, 2025–2030 (USD MILLION) 158 TABLE 116 EUROPE: AI PLATFORM MARKET, BY END USER, 2020–2024 (USD MILLION) 159 TABLE 117 EUROPE: AI PLATFORM MARKET, BY END USER, 2025–2030 (USD MILLION) 159 TABLE 118 EUROPE: AI PLATFORM MARKET, BY ENTERPRISE END USER, 2020–2024 (USD MILLION) 159 TABLE 119 EUROPE: AI PLATFORM MARKET, BY ENTERPRISE END USER, 2025–2030 (USD MILLION) 160 TABLE 120 EUROPE: AI PLATFORM MARKET, BY COUNTRY, 2020–2024 (USD MILLION) 160 TABLE 121 EUROPE: AI PLATFORM MARKET, BY COUNTRY, 2025–2030 (USD MILLION) 160 TABLE 122 UK: AI PLATFORM MARKET, BY OFFERING, 2020–2024 (USD MILLION) 161 TABLE 123 UK: AI PLATFORM MARKET, BY OFFERING, 2025–2030 (USD MILLION) 161 TABLE 124 GERMANY: AI PLATFORM MARKET, BY OFFERING, 2020–2024 (USD MILLION) 162 TABLE 125 GERMANY: AI PLATFORM MARKET, BY OFFERING, 2025–2030 (USD MILLION) 162 TABLE 126 FRANCE: AI PLATFORM MARKET, BY OFFERING, 2020–2024 (USD MILLION) 163 TABLE 127 FRANCE: AI PLATFORM MARKET, BY OFFERING, 2025–2030 (USD MILLION) 163 TABLE 128 ITALY: AI PLATFORM MARKET, BY OFFERING, 2020–2024 (USD MILLION) 163 TABLE 129 ITALY: AI PLATFORM MARKET, BY OFFERING, 2025–2030 (USD MILLION) 164 TABLE 130 SPAIN: AI PLATFORM MARKET, BY OFFERING, 2020–2024 (USD MILLION) 164 TABLE 131 SPAIN: AI PLATFORM MARKET, BY OFFERING, 2025–2030 (USD MILLION) 164 TABLE 132 REST OF EUROPE: AI PLATFORM MARKET, BY OFFERING, 2020–2024 (USD MILLION) 165 TABLE 133 REST OF EUROPE: AI PLATFORM MARKET, BY OFFERING, 2025–2030 (USD MILLION) 165 TABLE 134 ASIA PACIFIC: AI PLATFORM MARKET, BY OFFERING, 2020–2024 (USD MILLION) 167 TABLE 135 ASIA PACIFIC: AI PLATFORM MARKET, BY OFFERING, 2025–2030 (USD MILLION) 167 TABLE 136 ASIA PACIFIC: AI PLATFORM MARKET, BY FUNCTIONALITY, 2020–2024 (USD MILLION) 168 TABLE 137 ASIA PACIFIC: AI PLATFORM MARKET, BY FUNCTIONALITY, 2025–2030 (USD MILLION) 168 TABLE 138 ASIA PACIFIC: AI PLATFORM MARKET, BY USER TYPE, 2020–2024 (USD MILLION) 168 TABLE 139 ASIA PACIFIC: AI PLATFORM MARKET, BY USER TYPE, 2025–2030 (USD MILLION) 169 TABLE 140 ASIA PACIFIC: AI PLATFORM MARKET, BY END USER, 2020–2024 (USD MILLION) 169 TABLE 141 ASIA PACIFIC: AI PLATFORM MARKET, BY END USER, 2025–2030 (USD MILLION) 169 TABLE 142 ASIA PACIFIC: AI PLATFORM MARKET, BY ENTERPRISE END USER, 2020–2024 (USD MILLION) 170 TABLE 143 ASIA PACIFIC: AI PLATFORM MARKET, BY ENTERPRISE END USER, 2025–2030 (USD MILLION) 170 TABLE 144 ASIA PACIFIC: AI PLATFORM MARKET, BY COUNTRY, 2020–2024 (USD MILLION) 171 TABLE 145 ASIA PACIFIC: AI PLATFORM MARKET, BY COUNTRY, 2025–2030 (USD MILLION) 171 TABLE 146 CHINA: AI PLATFORM MARKET, BY OFFERING, 2020–2024 (USD MILLION) 172 TABLE 147 CHINA: AI PLATFORM MARKET, BY OFFERING, 2025–2030 (USD MILLION) 172 TABLE 148 JAPAN: AI PLATFORM MARKET, BY OFFERING, 2020–2024 (USD MILLION) 172 TABLE 149 JAPAN: AI PLATFORM MARKET, BY OFFERING, 2025–2030 (USD MILLION) 173 TABLE 150 INDIA: AI PLATFORM MARKET, BY OFFERING, 2020–2024 (USD MILLION) 173 TABLE 151 INDIA: AI PLATFORM MARKET, BY OFFERING, 2025–2030 (USD MILLION) 173 TABLE 152 AUSTRALIA AND NEW ZEALAND: AI PLATFORM MARKET, BY OFFERING, 2020–2024 (USD MILLION) 174 TABLE 153 AUSTRALIA AND NEW ZEALAND: AI PLATFORM MARKET, BY OFFERING, 2025–2030 (USD MILLION) 174 TABLE 154 ASEAN: AI PLATFORM MARKET, BY OFFERING, 2020–2024 (USD MILLION) 175 TABLE 155 ASEAN: AI PLATFORM MARKET, BY OFFERING, 2025–2030 (USD MILLION) 175 TABLE 156 SOUTH KOREA: AI PLATFORM MARKET, BY OFFERING, 2020–2024 (USD MILLION) 176 TABLE 157 SOUTH KOREA: AI PLATFORM MARKET, BY OFFERING, 2025–2030 (USD MILLION) 176 TABLE 158 REST OF ASIA PACIFIC: AI PLATFORM MARKET, BY OFFERING, 2020–2024 (USD MILLION) 176 TABLE 159 REST OF ASIA PACIFIC: AI PLATFORM MARKET, BY OFFERING, 2025–2030 (USD MILLION) 177 TABLE 160 MIDDLE EAST & AFRICA: AI PLATFORM MARKET, BY OFFERING, 2020–2024 (USD MILLION) 178 TABLE 161 MIDDLE EAST & AFRICA: AI PLATFORM MARKET, BY OFFERING, 2025–2030 (USD MILLION) 179 TABLE 162 MIDDLE EAST & AFRICA: AI PLATFORM MARKET, BY FUNCTIONALITY, 2020–2024 (USD MILLION) 179 TABLE 163 MIDDLE EAST & AFRICA: AI PLATFORM MARKET, BY FUNCTIONALITY, 2025–2030 (USD MILLION) 179 TABLE 164 MIDDLE EAST & AFRICA: AI PLATFORM MARKET, BY USER TYPE, 2020–2024 (USD MILLION) 180 TABLE 165 MIDDLE EAST & AFRICA: AI PLATFORM MARKET, BY USER TYPE, 2025–2030 (USD MILLION) 180 TABLE 166 MIDDLE EAST & AFRICA: AI PLATFORM MARKET, BY END USER, 2020–2024 (USD MILLION) 180 TABLE 167 MIDDLE EAST & AFRICA: AI PLATFORM MARKET, BY END USER, 2025–2030 (USD MILLION) 180 TABLE 168 MIDDLE EAST & AFRICA: AI PLATFORM MARKET, BY ENTERPRISE END USER, 2020–2024 (USD MILLION) 181 TABLE 169 MIDDLE EAST & AFRICA: AI PLATFORM MARKET, BY ENTERPRISE END USER, 2025–2030 (USD MILLION) 181 TABLE 170 MIDDLE EAST & AFRICA: AI PLATFORM MARKET, BY COUNTRY, 2020–2024 (USD MILLION) 182 TABLE 171 MIDDLE EAST & AFRICA: AI PLATFORM MARKET, BY COUNTRY, 2025–2030 (USD MILLION) 182 TABLE 172 SAUDI ARABIA: AI PLATFORM MARKET, BY OFFERING, 2020–2024 (USD MILLION) 183 TABLE 173 SAUDI ARABIA: AI PLATFORM MARKET, BY OFFERING, 2025–2030 (USD MILLION) 183 TABLE 174 UAE: AI PLATFORM MARKET, BY OFFERING, 2020–2024 (USD MILLION) 184 TABLE 175 UAE: AI PLATFORM MARKET, BY OFFERING, 2025–2030 (USD MILLION) 184 TABLE 176 SOUTH AFRICA: AI PLATFORM MARKET, BY OFFERING, 2020–2024 (USD MILLION) 185 TABLE 177 SOUTH AFRICA: AI PLATFORM MARKET, BY OFFERING, 2025–2030 (USD MILLION) 185 TABLE 178 TURKEY: AI PLATFORM MARKET, BY OFFERING, 2020–2024 (USD MILLION) 186 TABLE 179 TURKEY: AI PLATFORM MARKET, BY OFFERING, 2025–2030 (USD MILLION) 186 TABLE 180 QATAR: AI PLATFORM MARKET, BY OFFERING, 2020–2024 (USD MILLION) 187 TABLE 181 QATAR: AI PLATFORM MARKET, BY OFFERING, 2025–2030 (USD MILLION) 187 TABLE 182 EGYPT: AI PLATFORM MARKET, BY OFFERING, 2020–2024 (USD MILLION) 187 TABLE 183 EGYPT: AI PLATFORM MARKET, BY OFFERING, 2025–2030 (USD MILLION) 188 TABLE 184 KUWAIT: AI PLATFORM MARKET, BY OFFERING, 2020–2024 (USD MILLION) 188 TABLE 185 KUWAIT: AI PLATFORM MARKET, BY OFFERING, 2025–2030 (USD MILLION) 188 TABLE 186 REST OF MIDDLE EAST & AFRICA: AI PLATFORM MARKET, BY OFFERING, 2020–2024 (USD MILLION) 189 TABLE 187 REST OF MIDDLE EAST & AFRICA: AI PLATFORM MARKET, BY OFFERING, 2025–2030 (USD MILLION) 189 TABLE 188 LATIN AMERICA: AI PLATFORM MARKET, BY OFFERING, 2020–2024 (USD MILLION) 191 TABLE 189 LATIN AMERICA: AI PLATFORM MARKET, BY OFFERING, 2025–2030 (USD MILLION) 191 TABLE 190 LATIN AMERICA: AI PLATFORM MARKET, BY FUNCTIONALITY, 2020–2024 (USD MILLION) 191 TABLE 191 LATIN AMERICA: AI PLATFORM MARKET, BY FUNCTIONALITY, 2025–2030 (USD MILLION) 192 TABLE 192 LATIN AMERICA: AI PLATFORM MARKET, BY USER TYPE, 2020–2024 (USD MILLION) 192 TABLE 193 LATIN AMERICA: AI PLATFORM MARKET, BY USER TYPE, 2025–2030 (USD MILLION) 192 TABLE 194 LATIN AMERICA: AI PLATFORM MARKET, BY END USER, 2020–2024 (USD MILLION) 193 TABLE 195 LATIN AMERICA: AI PLATFORM MARKET, BY END USER, 2025–2030 (USD MILLION) 193 TABLE 196 LATIN AMERICA: AI PLATFORM MARKET, BY ENTERPRISE END USER, 2020–2024 (USD MILLION) 193 TABLE 197 LATIN AMERICA: AI PLATFORM MARKET, BY ENTERPRISE END USER, 2025–2030 (USD MILLION) 194 TABLE 198 LATIN AMERICA: AI PLATFORM MARKET, BY COUNTRY, 2020–2024 (USD MILLION) 194 TABLE 199 LATIN AMERICA: AI PLATFORM MARKET, BY COUNTRY, 2025–2030 (USD MILLION) 194 TABLE 200 BRAZIL: AI PLATFORM MARKET, BY OFFERING, 2020–2024 (USD MILLION) 195 TABLE 201 BRAZIL: AI PLATFORM MARKET, BY OFFERING, 2025–2030 (USD MILLION) 195 TABLE 202 MEXICO: AI PLATFORM MARKET, BY OFFERING, 2020–2024 (USD MILLION) 196 TABLE 203 MEXICO: AI PLATFORM MARKET, BY OFFERING, 2025–2030 (USD MILLION) 196 TABLE 204 ARGENTINA: AI PLATFORM MARKET, BY OFFERING, 2020–2024 (USD MILLION) 197 TABLE 205 ARGENTINA: AI PLATFORM MARKET, BY OFFERING, 2025–2030 (USD MILLION) 197 TABLE 206 CHILE: AI PLATFORM MARKET, BY OFFERING, 2020–2024 (USD MILLION) 198 TABLE 207 CHILE: AI PLATFORM MARKET, BY OFFERING, 2025–2030 (USD MILLION) 198 TABLE 208 REST OF LATIN AMERICA: AI PLATFORM MARKET, BY OFFERING, 2020–2024 (USD MILLION) 199 TABLE 209 REST OF LATIN AMERICA: AI PLATFORM MARKET, BY OFFERING, 2025–2030 (USD MILLION) 199 TABLE 210 OVERVIEW OF STRATEGIES ADOPTED BY KEY AI PLATFORM VENDORS, 2022–2025 200 TABLE 211 AI PLATFORM MARKET: DEGREE OF COMPETITION 204 TABLE 212 REGIONAL FOOTPRINT (18 COMPANIES), 2024 211 TABLE 213 OFFERING FOOTPRINT (18 COMPANIES), 2024 212 TABLE 214 FUNCTIONALITY FOOTPRINT (18 COMPANIES), 2024 213 TABLE 215 END USER FOOTPRINT (18 COMPANIES), 2024 214 TABLE 216 AI PLATFORM MARKET: KEY STARTUPS/SMES, 2024 217 TABLE 217 AI PLATFORM MARKET: COMPETITIVE BENCHMARKING OF KEY STARTUPS/SMES 218 TABLE 218 AI PLATFORM MARKET: AI ENABLEMENT SERVICES, 2024 221 TABLE 219 AI PLATFORM MARKET: COMPETITIVE BENCHMARKING OF AI ENABLEMENT SERVICES 222 TABLE 220 AI PLATFORM MARKET: PRODUCT LAUNCHES AND ENHANCEMENTS, 2022–2025 222 TABLE 221 AI PLATFORM MARKET: DEALS, 2022–2025 224 TABLE 222 GOOGLE: COMPANY OVERVIEW 227 TABLE 223 GOOGLE: PRODUCTS OFFERED 228 TABLE 224 GOOGLE: PRODUCT LAUNCHES AND ENHANCEMENTS 229 TABLE 225 GOOGLE: DEALS 229 TABLE 226 GOOGLE: EXPANSIONS 233 TABLE 227 MICROSOFT: COMPANY OVERVIEW 235 TABLE 228 MICROSOFT: PRODUCTS OFFERED 236 TABLE 229 MICROSOFT: PRODUCT LAUNCHES AND ENHANCEMENTS 237 TABLE 230 MICROSOFT: DEALS 238 TABLE 231 IBM: COMPANY OVERVIEW 242 TABLE 232 IBM: PRODUCTS OFFERED 243 TABLE 233 IBM: PRODUCT LAUNCHES AND ENHANCEMENTS 244 TABLE 234 IBM: DEALS 244 TABLE 235 ORACLE: COMPANY OVERVIEW 248 TABLE 236 ORACLE: PRODUCTS OFFERED 249 TABLE 237 ORACLE: PRODUCT LAUNCHES AND ENHANCEMENTS 250 TABLE 238 ORACLE: DEALS 250 TABLE 239 AWS: COMPANY OVERVIEW 253 TABLE 240 AWS: PRODUCTS OFFERED 254 TABLE 241 AWS: PRODUCT LAUNCHES AND ENHANCEMENTS 254 TABLE 242 AWS: DEALS 255 TABLE 243 INTEL: COMPANY OVERVIEW 258 TABLE 244 INTEL: PRODUCTS OFFERED 259 TABLE 245 INTEL: PRODUCT LAUNCHES AND ENHANCEMENTS 260 TABLE 246 INTEL: DEALS 260 TABLE 247 SALESFORCE: COMPANY OVERVIEW 261 TABLE 248 SALESFORCE: PRODUCTS OFFERED 262 TABLE 249 SALESFORCE: PRODUCT LAUNCHES AND ENHANCEMENTS 263 TABLE 250 SALESFORCE: DEALS 263 TABLE 251 SAP: COMPANY OVERVIEW 265 TABLE 252 SAP: PRODUCTS OFFERED 266 TABLE 253 SAP: PRODUCT LAUNCHES AND ENHANCEMENTS 267 TABLE 254 SAP: DEALS 267 TABLE 255 SERVICENOW: COMPANY OVERVIEW 269 TABLE 256 SERVICENOW: PRODUCTS OFFERED 270 TABLE 257 SERVICENOW: PRODUCT LAUNCHES AND ENHANCEMENTS 271 TABLE 258 SERVICENOW: DEALS 271 TABLE 259 NVIDIA: COMPANY OVERVIEW 272 TABLE 260 NVIDIA: PRODUCTS OFFERED 273 TABLE 261 NVIDIA: PRODUCT LAUNCHES AND ENHANCEMENTS 274 TABLE 262 NVIDIA: DEALS 274 TABLE 263 AI TOOLKIT MARKET, BY OFFERING, 2017–2022 (USD MILLION) 305 TABLE 264 AI TOOLKIT MARKET, BY OFFERING, 2023–2028 (USD MILLION) 305 TABLE 265 AI TOOLKIT MARKET, BY TECHNOLOGY, 2017–2022 (USD MILLION) 306 TABLE 266 AI TOOLKIT MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION) 306 TABLE 267 AI TOOLKIT MARKET, BY VERTICAL, 2017–2022 (USD MILLION) 307 TABLE 268 AI TOOLKIT MARKET, BY VERTICAL, 2023–2028 (USD MILLION) 307 TABLE 269 AI TOOLKIT MARKET, BY REGION, 2017–2022 (USD MILLION) 308 TABLE 270 AI TOOLKIT MARKET, BY REGION, 2023–2028 (USD MILLION) 308 TABLE 271 NO-CODE AI PLATFORMS MARKET, BY OFFERING, 2019–2023 (USD MILLION) 310 TABLE 272 NO-CODE AI PLATFORMS MARKET, BY OFFERING, 2024–2029 (USD MILLION) 311 TABLE 273 NO-CODE AI PLATFORMS MARKET, BY TECHNOLOGY, 2019–2023 (USD MILLION) 311 TABLE 274 NO-CODE AI PLATFORMS MARKET, BY TECHNOLOGY, 2024–2029 (USD MILLION) 311 TABLE 275 NO-CODE AI PLATFORMS MARKET, BY DATA MODALITY, 2019–2023 (USD MILLION) 312 TABLE 276 NO-CODE AI PLATFORMS MARKET, BY DATA MODALITY, 2024–2029 (USD MILLION) 312 TABLE 277 NO-CODE AI PLATFORMS MARKET, BY APPLICATION, 2019–2023 (USD MILLION) 313 TABLE 278 NO-CODE AI PLATFORMS MARKET, BY APPLICATION, 2024–2029 (USD MILLION) 313 TABLE 279 NO-CODE AI PLATFORMS MARKET, BY VERTICAL, 2019–2023 (USD MILLION) 314 TABLE 280 NO-CODE AI PLATFORMS MARKET, BY VERTICAL, 2024–2029 (USD MILLION) 314 TABLE 281 NO-CODE AI PLATFORMS MARKET, BY REGION, 2019–2023 (USD MILLION) 315 TABLE 282 NO-CODE AI PLATFORMS MARKET, BY REGION, 2024–2029 (USD MILLION) 315 FIGURE 1 AI PLATFORM MARKET: RESEARCH DESIGN 35 FIGURE 2 AI PLATFORM MARKET: DATA TRIANGULATION 38 FIGURE 3 AI PLATFORM MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES 39 FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY—APPROACH 1, BOTTOM-UP (SUPPLY-SIDE): REVENUE FROM AI DEVELOPMENT PLATFORMS, AI LIFECYCLE MANAGEMENT PLATFORMS, AND AI-ENABLEMENT SERVICES 40 FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY—APPROACH 2, BOTTOM-UP (SUPPLY-SIDE): COLLECTIVE REVENUE FROM KEY COMPANIES IN AI PLATFORM MARKET 41 FIGURE 6 MARKET SIZE ESTIMATION METHODOLOGY—APPROACH 3, BOTTOM-UP (SUPPLY-SIDE): COLLECTIVE REVENUE FROM BUSINESS UNITS (BU) OF KEY VENDORS IN AI PLATFORM MARKET 42 FIGURE 7 MARKET SIZE ESTIMATION METHODOLOGY—APPROACH 4, BOTTOM-UP (DEMAND-SIDE): SHARE OF AI PLATFORM THROUGH OVERALL IT SPENDING ON AI PLATFORM SOLUTIONS 42 FIGURE 8 AI DEVELOPMENT PLATFORM SEGMENT TO HOLD LARGEST MARKET SIZE IN 2025 49 FIGURE 9 DATA SCIENTISTS & ML ENGINEERS SEGMENT TO HOLD LARGEST MARKET SHARE IN 2025 50 FIGURE 10 DATA MANAGEMENT & PREPARATION SEGMENT TO HOLD LARGEST MARKET SIZE IN 2025 50 FIGURE 11 ENTERPRISE SEGMENT TO HOLD LARGEST MARKET SHARE IN 2025 50 FIGURE 12 HEALTHCARE & LIFE SCIENCES TO WITNESS HIGHEST GROWTH RATE IN END USER SEGMENT DURING FORECAST PERIOD 51 FIGURE 13 ASIA PACIFIC TO REGISTER FASTEST GROWTH BETWEEN 2025 AND 2030 51 FIGURE 14 ACCELERATING DIGITAL INFRASTRUCTURE AND ENTERPRISE AI ADOPTION ACROSS ASIA PACIFIC TO DRIVE AI PLATFORM MARKET GROWTH 52 FIGURE 15 MODEL DEPLOYMENT & SERVING SEGMENT TO ACCOUNT FOR HIGHEST GROWTH RATE DURING FORECAST PERIOD 53 FIGURE 16 AI DEVELOPMENT PLATFORM AND DATA MANAGEMENT & PREPARATION TO BE LARGEST SHAREHOLDERS IN NORTH AMERICAN AI PLATFORM MARKET IN 2025 53 FIGURE 17 NORTH AMERICA TO HOLD LARGEST MARKET SHARE IN 2025 54 FIGURE 18 DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES: AI PLATFORM MARKET 55 FIGURE 19 AI PLATFORM MARKET EVOLUTION 60 FIGURE 20 AI PLATFORM MARKET: SUPPLY CHAIN ANALYSIS 61 FIGURE 21 KEY PLAYERS IN AI PLATFORM MARKET ECOSYSTEM 64 FIGURE 22 AI PLATFORM MARKET: PORTER’S FIVE FORCES’ ANALYSIS 70 FIGURE 23 REVENUE SHIFT OF AI PLATFORM MARKET VENDORS 71 FIGURE 24 NUMBER OF PATENTS GRANTED IN LAST 10 YEARS, 2016–2025 81 FIGURE 25 REGIONAL ANALYSIS OF PATENTS GRANTED, 2016–2025 84 FIGURE 26 LEADING AI PLATFORM MARKET STARTUPS, BY FUNDING VALUE AND FUNDING ROUND, 2025 85 FIGURE 27 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE END USERS 90 FIGURE 28 KEY BUYING CRITERIA FOR TOP THREE END USERS 90 FIGURE 29 AI LIFECYCLE MANAGEMENT PLATFORMS SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 97 FIGURE 30 MODEL DEPLOYMENT & SERVING TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 108 FIGURE 31 MLOPS/AI ENGINEERS SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 119 FIGURE 32 ENTERPRISES TO GROW AT HIGHER CAGR DURING FORECAST PERIOD 128 FIGURE 33 HEALTHCARE & LIFE SCIENCES SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 129 FIGURE 34 NORTH AMERICA TO BE LARGEST REGIONAL MARKET DURING FORECAST PERIOD 147 FIGURE 35 INDIA TO WITNESS FASTEST GROWTH DURING FORECAST PERIOD 148 FIGURE 36 NORTH AMERICA: MARKET SNAPSHOT 150 FIGURE 37 ASIA PACIFIC: MARKET SNAPSHOT 167 FIGURE 38 TOP FIVE PUBLIC PLAYERS IN AI PLATFORM MARKET, 2020–2024 (USD MILLION) 202 FIGURE 39 SHARE OF LEADING COMPANIES IN AI PLATFORM MARKET, 2024 203 FIGURE 40 PRODUCT COMPARATIVE ANALYSIS 206 FIGURE 41 FINANCIAL METRICS OF KEY VENDORS 207 FIGURE 42 YEAR-TO-DATE (YTD) PRICE TOTAL RETURN AND 5-YEAR STOCK BETA OF KEY VENDORS 208 FIGURE 43 AI PLATFORM MARKET: COMPANY EVALUATION MATRIX (KEY PLAYERS), 2024 209 FIGURE 44 COMPANY FOOTPRINT (18 COMPANIES), 2024 210 FIGURE 45 AI PLATFORM MARKET: COMPANY EVALUATION MATRIX (STARTUPS/SMES), 2024 216 FIGURE 46 AI PLATFORM MARKET: COMPANY EVALUATION MATRIX (AI ENABLEMENT SERVICES), 2024 220 FIGURE 47 GOOGLE: COMPANY SNAPSHOT 228 FIGURE 48 MICROSOFT: COMPANY SNAPSHOT 236 FIGURE 49 IBM: COMPANY SNAPSHOT 243 FIGURE 50 ORACLE: COMPANY SNAPSHOT 249 FIGURE 51 AWS: COMPANY SNAPSHOT 253 FIGURE 52 INTEL: COMPANY SNAPSHOT 259 FIGURE 53 SALESFORCE: COMPANY SNAPSHOT 262 FIGURE 54 SAP: COMPANY SNAPSHOT 266 FIGURE 55 SERVICENOW: COMPANY SNAPSHOT 270 FIGURE 56 NVIDIA: COMPANY SNAPSHOT 273

同分類最新報告（資通訊與媒體）

查看資通訊與媒體全部報告 →

量子訊息有限公司為 MarketsandMarkets 在台灣的授權代理，提供報告購買、樣本申請與授權諮詢。電話 +886 2 7751 5192 ・ 聯絡我們