AIプラットフォーム市場 – 2030年までの世界予測

本調査レポートでは、AIプラットフォーム市場を、提供内容（プラットフォームタイプ（AI開発プラットフォーム、AIライフサイクル管理プラットフォーム、AIインフラストラクチャと有効化）、展開モード（クラウドとオンプレミス））、機能（データ管理と準備、モデル開発とトレーニング、モデルの展開と提供、監視と保守、モデルガバナンスとコンプライアンス、モデルの微調整とパーソナライゼーション、説明可能性とバイアスツール、セキュリティとプライバシー）、ユーザータイプ（データサイエンティストとMLエンジニア、MLOps / AIエンジニア、ビジネスアナリストとシチズンデベロッパー、AI製品マネージャー、ITおよびクラウドアーキテクト）、エンドユーザー（個人および企業（ヘルスケアとライフサイエンス、BFSI、小売とeコマース、運輸と物流、自動車とモビリティ、通信、政府機関と防衛、エネルギーと公益事業、製造、ソフトウェアとテクノロジー、メディアとエンターテイメント、その他）、地域（北米、ヨーロッパ、アジア太平洋、中東とアフリカ、ラテンアメリカ）に基づいて分類しています。

本レポートは、AIプラットフォーム市場の成長に影響を与える主要な要因（促進要因、制約要因、課題、機会など）に関する詳細な情報を網羅しています。主要プレーヤーの詳細な分析により、事業概要、ソリューション、サービス、主要戦略、契約、パートナーシップ、合意、新製品・新サービスの発売、合併・買収、そしてAIプラットフォーム市場に関連する最近の動向に関する洞察を提供しています。また、AIプラットフォーム市場エコシステムにおける新興スタートアップ企業の競合分析も本レポートに含まれています

本レポートは、AIプラットフォーム市場全体とそのサブセグメントの収益数値に最も近い近似値に関する情報を、市場リーダー企業および新規参入企業に提供します。これにより、関係者は競争環境を理解し、ビジネスの改善と適切な市場開拓戦略の策定に役立つ洞察を得ることができます。また、市場の動向を把握し、主要な市場牽引要因、制約要因、課題、そして機会に関する情報も提供します。

AIプラットフォーム市場は急速に拡大しており、2025年の182.2億米ドルから2030年には943億米ドルに拡大すると予測されています。予測期間中の年平均成長率（CAGR）は38.9%です。市場を牽引しているのは、自動化への需要の高まり、医療、金融、小売など様々な業界におけるAI導入の拡大、そして機械学習とクラウドコンピューティングの進歩です。企業は効率性とデータドリブンな意思決定を求めており、需要をさらに押し上げています。しかしながら、導入コストの高さや規制上の課題といった制約があり、導入と拡張性にブレーキがかかる可能性があります。。

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.

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

LIST OF TABLES

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

LIST OF FIGURES

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

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