조사회사 : MarketsandMarkets (마켓츠앤마켓츠) 출판년월 : 2024년10월
AI as a Service Market – Global Forecast to 2029
AIaaS(AI as a Service) 시장 – 제품 유형(채팅봇, ML 프레임워크, API, 노코드/로우코드 ML 도구), 서비스 유형 [MLaaS, NLPaaS (텍스트 읽기), GAIaaS] – 2029년 세계 예측
AI as a Service Market by Product Type (Chatbots, ML Framework, API, No Code/Low Code ML Tools), Service Type (Machine Learning as a Service, Natural Language Processing as a Service (Text to Speech), Generative AI as a Service) – Global Forecast to 2029
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Report Overview
The AI as a service market is projected to grow from USD 14.00 billion in 2024 to USD 72.13 billion by 2029, at a compound annual growth rate (CAGR) of 38.8% during the forecast period.
AIaaS(AI as a Service) 시장은 2024년 140억 달러에서 2029년까지 721억 3000만 달러로 성장할 것으로 예상되며, 예측 기간 중 연평균 성장률(CAGR)은 38.8%입니다.
The market is anticipated to grow due to increased investment from venture capital in AI startups, focus on enhancing customer experience through AI-driven personalization, and collaborative ecosystems among tech giants and startups foster AI advancement. However, growth may be restrained by dependence on high-quality data for AI model accuracy limits effectiveness, unclear intellectual property ownership in AIaaS deployments, and concerns over the long-term sustainability of AIaaS pricing models.
“Rapid growth of healthcare and life sciences driven by AI innovations and personalized medicine”
The healthcare and life sciences end user segment market is set for rapid growth due to the increasing demand for personalized medicine, driven by AI’s ability to analyze vast datasets for tailored treatment plans. Innovations in predictive analytics enhance patient care by identifying health trends and enabling proactive interventions. The rise of telehealth and remote monitoring solutions, facilitated by AI, is transforming patient engagement. Regulatory support for AI-driven solutions accelerates adoption, positioning this sector as a leader in the AIaaS market.
“Transforming sales with AI-driven insights and automation for enhanced performance”
During the forecast period, the sales business function is set to capture the largest market share in AI as a Service market due to the growing reliance on data-driven insights to enhance sales strategies. AI technologies enable organizations to analyze customer behavior, optimize lead scoring, and personalize outreach through chatbots, resulting in improved conversion rates. Automation of routine tasks allows sales teams to focus on high-value interactions, while predictive analytics empower businesses to forecast trends and customer needs more accurately, driving overall revenue growth.
“Asia Pacific’s rapid AIaaS growth fueled by innovation and emerging technologies, while North America leads in market size”
The Asia Pacific region is expected to be the fastest-growing market for AI as a Service due to significant advancements in AI research and development, coupled with a surge in AI adoption across sectors such as manufacturing and agriculture. The region’s strong focus on integrating AI with emerging technologies like IoT and 5G is driving innovation and creating smart ecosystems. In contrast, North America remains the largest market, bolstered by its robust technology infrastructure, substantial venture capital investments, and a strong presence of leading AI companies pushing the boundaries of AI capabilities.
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 as a service market.
- By Company: Tier I – 35%, Tier II – 45%, and Tier III – 20%
- By Designation: C-Level Executives – 35%, D-Level Executives – 25%, and others – 40%
- By Region: North America – 40%, Europe – 25%, Asia Pacific – 20%, Middle East & Africa – 10%, and Latin America – 5%
The report includes the study of key players offering AIaaS solutions and services. It profiles major vendors in the AI as a service market. The major players in the AI as a service market include Microsoft (US), IBM (US), SAP (Germany), AWS (US), Google (US), Salesforce (US), Oracle (US), NVIDIA (US), FICO (US), Cloudera (US), ServiceNow (US), HPE (US), Altair (US), OpenAI (US), SAS Institute (US), DataRobot (US), Databricks (US), C3 AI (US), H2O.ai (US), Alibaba Cloud (China), Rainbird Technologies (UK), BigML (US), Cohere (Canada), Glean (US), Yottamine Analytics (US), Scale AI (US), Landing AI (US), Yellow.ai (US), Inflection AI (US), Anyscale (US), Abridge (US), Mistral AI (France), Codeium (US), Arthur (US), Levity AI (US), Unstructured AI (US), Clarifai (US), Synthesia (UK), Katonic AI (Australia), Deepsearch (Austria), MindTitan (Estonia), Viso.ai (Switzerland) and Softweb Solutions (US).
Research coverage
This research report categorizes the AI as a service Market By product Type (Chatbots and virtual assistants, machine learning frameworks, application programming interface (API), No-code or low-code ml tools and data pre-processing Tools), By Organization Size (small & medium-sized enterprises and large enterprises), By Business Function (Finance, Marketing, sales, Human Resource and Operations & Supply Chain), By Service Type (machine learning as a service (MLaaS), Natural language processing as a service (NLPaaS), computer vision as a service, Predictive Analytics and Data Science as a service (DSaaS) and Generative AI as a service), By End user(Enterprise and Individual users), End User by Enterprise (BFSI, Retail & Ecommerce, Technology, Media & Entertainment, Manufacturing, Healthcare & Life Sciences, Energy & Utilities, Government & Defense, Telecommunications, Transportation & Logistics, and Other Enterprise level End Users [Travel & Hospitality, Education and Construction & Real-estate]), and By 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 as a service market. A detailed analysis of the key industry players has been done to provide insights into their business overview, solutions, and services; key strategies; contracts, partnerships, agreements, new product & service launches, mergers and acquisitions, and recent developments associated with the AI as a service market. Competitive analysis of upcoming startups in the AI as a service market ecosystem is 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 as a service market and its subsegments. It would help stakeholders understand the competitive landscape and gain more insights better to position their business and plan suitable go-to-market strategies. It also helps stakeholders understand the pulse of the market and provides them with information on key market drivers, restraints, challenges, and opportunities.
The report provides insights on the following pointers:
- Analysis of key drivers (AIaaS democratizes access for small and medium enterprises, Growing demand for AI-enhanced cybersecurity solutions to combat sophisticated threats and The rise of pre-trained AI models that require minimal customization accelerates AIaaS adoption), restraints (Integration issues with legacy systems create inefficiencies, Managing the environmental impact of energy-intensive AI computations and data centers and High dependency on cloud providers hampers trust and hinders adoption), opportunities (Emergence of federated learning techniques for collaborative AI model training, Increasing demand for explainable AI (XAI) to enhance trust and transparency and Rising interest in quantum computing-based AI services for complex problem-solving), and challenges (Balancing innovation with regulatory compliance, mitigating the risks associated with AI model drift and maintaining model accuracy over time and managing the cost of high-performance AI infrastructure).
- Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the AI as a service market.
- Market Development: Comprehensive information about lucrative markets – the report analyses the AI as a service market across varied regions.
- Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in the AI as a service market.
- Competitive Assessment: In-depth assessment of market shares, growth strategies and service offerings of leading players like Microsoft (US), IBM (US), SAP (Germany), AWS (US), Google (US), Salesforce (US), Oracle (US), NVIDIA (US), FICO (US), Cloudera (US), ServiceNow (US), HPE (US), Altair (US), OpenAI (US), SAS Institute (US), DataRobot (US), Databricks (US), C3 AI (US), H2O.ai (US), Alibaba Cloud (China), Rainbird Technologies (UK), BigML (US), Cohere (Canada), Glean (US), Yottamine Analytics (US), Scale AI (US), Landing AI (US), Yellow.ai (US), Inflection AI (US), Anyscale (US), Abridge (US), Mistral AI (France), Codeium (US), Arthur (US), Levity AI (US), Unstructured AI (US), Clarifai (US), Synthesia (UK), Katonic AI (Australia), Deepsearch (Austria), MindTitan (Estonia), Viso.ai (Switzerland) and Softweb Solutions (US), among others in the AI as a service market. The report also helps stakeholders understand the pulse of the AI as a service market and provides them with information on key market drivers, restraints, challenges, and opportunities.
Table of Contents
1 INTRODUCTION 34
1.1 STUDY OBJECTIVES 34
1.2 MARKET DEFINITION 34
1.2.1 INCLUSIONS AND EXCLUSIONS 35
1.3 MARKET SCOPE 36
1.3.1 MARKET SEGMENTATION 36
1.3.2 YEARS CONSIDERED 37
1.4 CURRENCY CONSIDERED 37
1.5 STAKEHOLDERS 38
1.6 SUMMARY OF CHANGES 38
2 RESEARCH METHODOLOGY 40
2.1 RESEARCH DATA 40
2.1.1 SECONDARY DATA 41
2.1.2 PRIMARY DATA 41
2.1.2.1 Breakup of primary profiles 42
2.1.2.2 Key industry insights 42
2.2 MARKET BREAKUP AND DATA TRIANGULATION 43
2.3 MARKET SIZE ESTIMATION 44
2.3.1 TOP-DOWN APPROACH 44
2.3.2 BOTTOM-UP APPROACH 45
2.4 MARKET FORECAST 49
2.5 RESEARCH ASSUMPTIONS 50
2.6 STUDY LIMITATIONS 51
3 EXECUTIVE SUMMARY 52
4 PREMIUM INSIGHTS 58
4.1 ATTRACTIVE OPPORTUNITIES IN AI AS A SERVICE MARKET 58
4.2 AI AS A SERVICE MARKET: TOP THREE SERVICE TYPES 59
4.3 NORTH AMERICA: AI AS A SERVICE MARKET, BY PRODUCT TYPE AND ENTERPRISE END USER 59
4.4 AI AS A SERVICE MARKET, BY REGION 60
5 MARKET OVERVIEW AND INDUSTRY TRENDS 61
5.1 INTRODUCTION 61
5.2 MARKET DYNAMICS 61
5.2.1 DRIVERS 62
5.2.1.1 AIaaS democratizes access for small and medium enterprises 62
5.2.1.2 Growing demand for AI-enhanced cybersecurity solutions to combat sophisticated threats 63
5.2.1.3 Rise of pre-trained AI models that require minimal customization accelerates AIaaS adoption 63
5.2.2 RESTRAINTS 63
5.2.2.1 Integration issues with legacy systems create inefficiencies 63
5.2.2.2 Managing environmental impact of energy-intensive AI computations and data centers 64
5.2.2.3 High dependency on cloud providers hampers trust and hinders adoption 65
5.2.3 OPPORTUNITIES 65
5.2.3.1 Emergence of federated learning techniques for collaborative AI model training 65
5.2.3.2 Increasing demand for explainable AI (XAI) to enhance trust and transparency 66
5.2.3.3 Rising interest in quantum computing-based AI services for complex problem-solving 66
5.2.4 CHALLENGES 66
5.2.4.1 Balancing innovation with regulatory compliance is complex 66
5.2.4.2 Mitigating risks associated with AI model drift and maintaining model accuracy over time 67
5.2.4.3 Managing cost of high-performance AI infrastructure 67
5.3 IMPACT OF GENERATIVE AI ON AI AS A SERVICE MARKET 68
5.3.1 TOP USE CASES & MARKET POTENTIAL 68
5.3.1.1 Key use cases 68
5.3.2 CUSTOMER SERVICE & SUPPORT AUTOMATION 69
5.3.3 CONTENT GENERATION & PERSONALIZATION 69
5.3.4 INTELLIGENT DOCUMENT PROCESSING 69
5.3.5 AUTOMATED CODE GENERATION & SOFTWARE DEVELOPMENT 69
5.3.6 ENHANCED SECURITY & FRAUD DETECTION 69
5.3.7 VIRTUAL TRAINING & SIMULATION 70
5.4 AI AS A SERVICE MARKET: EVOLUTION 70
5.5 ECOSYSTEM ANALYSIS 72
5.5.1 CHATBOTS AND API PROVIDERS 73
5.5.2 MACHINE LEARNING FRAMEWORK PROVIDERS 73
5.5.3 NO-CODE/LOW-CODE TOOL PROVIDERS 73
5.5.4 DATA PRE-PROCESSING TOOL PROVIDERS 74
5.5.5 PUBLIC & MANAGED CLOUD PROVIDERS 74
5.5.6 END USERS 74
5.6 SUPPLY CHAIN ANALYSIS 75
5.7 INVESTMENT LANDSCAPE AND FUNDING SCENARIO 76
5.8 CASE STUDY ANALYSIS 78
5.8.1 CASE STUDY 1: ADVANCED ANALYTICS AND VISUAL AI FOR ACCELERATING ION CHANNEL DRUG DISCOVERY 78
5.8.2 CASE STUDY 2: ELULA’S AI SOLUTIONS HELPED BANKS IMPROVE CUSTOMER RETENTION 79
5.8.3 CASE STUDY 3: NAMA RELIES ON GOOGLE CLOUD TO FURTHER GENERATIVE AI AND BECOME MORE STRATEGIC BUSINESS 79
5.8.4 CASE STUDY 4: IMPROVING CUSTOMER SERVICE AND FRAUD DETECTION WITH IBM AIAAS 80
5.8.5 CASE STUDY 5: AUTOMATING SUPPORT REQUEST TRIAGE WITH SALESFORCE AIAAS 81
5.8.6 CASE STUDY 6: MICROSOFT AZURE AIAAS EMPOWERED ALASKA AIRLINES TO OPTIMIZE ON-TIME PERFORMANCE WITH PREDICTIVE MAINTENANCE 81
5.9 TECHNOLOGY ANALYSIS 82
5.9.1 KEY TECHNOLOGIES 82
5.9.1.1 Generative AI 82
5.9.1.2 Machine Learning 82
5.9.1.3 Conversational AI 82
5.9.1.4 Cloud Computing 83
5.9.1.5 Natural Language Processing (NLP) 83
5.9.2 COMPLEMENTARY TECHNOLOGIES 83
5.9.2.1 Cognitive Computing 83
5.9.2.2 Big Data Analytics 83
5.9.2.3 Robotic Process Automation (RPA) 84
5.9.3 ADJACENT TECHNOLOGIES 84
5.9.3.1 Quantum Computing 84
5.9.3.2 Internet of Things (IoT) 84
5.9.3.3 Cybersecurity 84
5.10 REGULATORY LANDSCAPE 85
5.10.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 85
5.10.2 REGULATIONS, BY REGION 88
5.10.2.1 North America 88
5.10.2.1.1 SCR 17: Artificial Intelligence Bill (California) 88
5.10.2.1.2 SB 1103: Artificial Intelligence Automated Decision Bill (Connecticut) 88
5.10.2.1.3 National Artificial Intelligence Initiative Act (NAIIA) 89
5.10.2.1.4 The Artificial Intelligence and Data Act (AIDA) – Canada 89
5.10.2.2 Europe 90
5.10.2.2.1 The European Union (EU) – Artificial Intelligence Act (AIA) 90
5.10.2.2.2 General Data Protection Regulation (Europe) 90
5.10.2.3 Asia Pacific 91
5.10.2.3.1 Interim Administrative Measures for Generative Artificial Intelligence Services (China) 91
5.10.2.3.2 The National AI Strategy (Singapore) 92
5.10.2.3.3 The Hiroshima AI Process Comprehensive Policy Framework (Japan) 92
5.10.2.4 Middle East & Africa 93
5.10.2.4.1 The National Strategy for Artificial Intelligence (UAE) 93
5.10.2.4.2 The National Artificial Intelligence Strategy (Qatar) 93
5.10.2.4.3 The AI Ethics Principles and Guidelines (Dubai) 94
5.10.2.5 Latin America 94
5.10.2.5.1 The Santiago Declaration (Chile) 94
5.10.2.5.2 The Brazilian Artificial Intelligence Strategy (EBIA) 94
5.11 ARCHITECTURE: AI AS A SERVICE 95
5.11.1 AI INFRASTRUCTURE 96
5.11.2 AI SERVICES 96
5.11.3 AI TOOLS 96
5.12 PATENT ANALYSIS 97
5.12.1 METHODOLOGY 97
5.12.2 PATENTS FILED, BY DOCUMENT TYPE 97
5.12.3 INNOVATION AND PATENT APPLICATIONS 97
5.13 PRICING ANALYSIS 102
5.13.1 AVERAGE SELLING PRICE TREND OF KEY PLAYERS, BY SERVICE TYPE 103
5.13.2 INDICATIVE PRICING ANALYSIS, BY PRODUCT TYPE 104
5.14 KEY CONFERENCES AND EVENTS, 2024–2025 105
5.15 PORTER’S FIVE FORCES’ ANALYSIS 108
5.15.1 THREAT OF NEW ENTRANTS 109
5.15.2 THREAT OF SUBSTITUTES 109
5.15.3 BARGAINING POWER OF SUPPLIERS 109
5.15.4 BARGAINING POWER OF BUYERS 110
5.15.5 INTENSITY OF COMPETITIVE RIVALRY 110
5.16 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS 110
5.16.1 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS 110
5.17 KEY STAKEHOLDERS & BUYING CRITERIA 111
5.17.1 KEY STAKEHOLDERS IN BUYING PROCESS 111
5.17.2 BUYING CRITERIA 112
6 AI AS A SERVICE MARKET, BY PRODUCT TYPE 113
6.1 INTRODUCTION 114
6.1.1 PRODUCT TYPE: AI AS A SERVICE MARKET DRIVERS 114
6.2 CHATBOTS & VIRTUAL ASSISTANTS 116
6.2.1 ORGANIZATIONS LOOKING AT AI AS A SERVICE PROVIDERS FOR ADVANCED SOLUTIONS WITHOUT INCURRING COSTS ON PHYSICAL STRUCTURES 116
6.3 MACHINE LEARNING FRAMEWORKS 117
6.3.1 OPEN-SOURCE FRAMEWORKS SUCH AS TENSORFLOW, PYTORCH, AND SCIKIT-LEARN INCREASINGLY BEING EMBRACED IN AIAAS MARKET 117
6.4 APPLICATION PROGRAMMING INTERFACE (API) 119
6.4.1 API PROVIDES EFFICIENT METHODS TO INTERACT WITH AI SERVICES SO BUSINESSES CAN INCORPORATE ADVANCED AI TECHNOLOGIES 119
6.5 NO-CODE OR LOW-CODE ML TOOLS 120
6.5.1 EASE OF ACCESS SPEEDS UP DEVELOPMENT AND PROMOTES WIDER ADOPTION OF AI IN DIFFERENT VERTICALS 120
6.6 DATA PRE-PROCESSING TOOLS 121
6.6.1 DATA PRE-PROCESSING TOOLS HELP TO CLEAN, TRANSFORM, AND STRUCTURE DATA, ENSURING ITS QUALITY AND CONSISTENCY 121
7 AI AS A SERVICE MARKET, BY SERVICE TYPE 123
7.1 INTRODUCTION 124
7.1.1 SERVICE TYPE: AI AS A SERVICE MARKET DRIVERS 124
7.2 MACHINE LEARNING AS A SERVICE (MLAAS) 126
7.2.1 USERS CAN LEVERAGE MLAAS PLATFORMS TO CREATE PREDICTIVE MODELS, TAKING ADVANTAGE OF SCALABILITY AND FLEXIBILITY 126
7.2.2 DATA PREPARATION AND PREPROCESSING 127
7.2.3 MODEL DEVELOPMENT AND TRAINING 128
7.2.4 MODEL DEPLOYMENT AND MANAGEMENT 128
7.2.5 MODEL EVALUATION AND TESTING 129
7.2.6 RECOMMENDATION SERVICES 129
7.2.7 OTHERS IN MACHINE LEARNING AS A SERVICE 129
7.3 NATURAL LANGUAGE PROCESSING AS A SERVICE (NLPAAS) 130
7.3.1 QUALITY CONTROL MECHANISMS IN NLPAAS PLATFORMS, ACCURACY, AND EFFECTIVENESS OF MODELS TO BE MAINTAINED THROUGH CONTINUOUS MONITORING 130
7.3.2 SPEECH RECOGNITION 131
7.3.3 SEMANTIC SEARCH 132
7.3.4 SENTIMENT ANALYSIS 132
7.3.5 VOICE RECOGNITION 132
7.3.6 TEXT-TO-SPEECH (TTS) 133
7.3.7 OTHERS IN NATURAL LANGUAGE PROCESSING AS A SERVICE 133
7.4 COMPUTER VISION AS A SERVICE 134
7.4.1 ENTERPRISES CAN ATTAIN HIGH ACCURACY IN PROCESSES LIKE OBJECT DETECTION, FACIAL RECOGNITION, AND IMAGE CLASSIFICATION 134
7.4.2 IMAGE RECOGNITION 135
7.4.3 FACE RECOGNITION 135
7.4.4 VIDEO ANALYTICS 136
7.4.5 OBJECT DETECTION 136
7.4.6 OTHERS IN COMPUTER VISION AS A SERVICE 137
7.5 PREDICTIVE ANALYTICS AND DATA SCIENCE AS A SERVICE (DSAAS) 137
7.5.1 DSAAS SUPPORTS PREDICTIVE ANALYTICS BY PROVIDING COMPANIES WITH ADVANCED ANALYTICAL CAPABILITIES THAT DO NOT REQUIRE INTERNAL EXPERTISE 137
7.5.2 OPERATIONAL INTELLIGENCE 138
7.5.3 SUPPLY CHAIN ANALYTICS 139
7.5.4 PREDICTIVE MAINTENANCE 139
7.5.5 RISK MANAGEMENT 139
7.5.6 OTHERS IN PREDICTIVE ANALYTICS AND DATA SCIENCE AS A SERVICE 140
7.6 GENERATIVE AI AS A SERVICE 141
7.6.1 GENERATIVE AI AS A SERVICE PLATFORMS CAN ALSO SERVE AS RESOURCES FOR DATA AUGMENTATION, UTILIZING AI-CREATED SAMPLES TO IMPROVE TRAINING DATASETS FOR ML MODELS 141
7.6.2 CODE GENERATION & SOFTWARE DEVELOPMENT 142
7.6.3 CONTENT CREATION 142
7.6.4 FRAUD DETECTION 143
7.6.5 CONTENT MODERATION 143
7.6.6 DATA EXTRACTION 144
7.6.7 OTHERS IN GENERATIVE AI AS A SERVICE 144
8 AI AS A SERVICE MARKET, BY BUSINESS FUNCTION 145
8.1 INTRODUCTION 146
8.1.1 BUSINESS FUNCTION: AI AS A SERVICE MARKET DRIVERS 146
8.2 FINANCE 148
8.2.1 AI TO RESHAPE FINANCIAL SECTOR BY AUTOMATING TASKS, ENHANCING COMPLIANCE WITH ADVANCED DATA ANALYSIS, AND ENABLING CUSTOMIZED CUSTOMER ENGAGEMENTS 148
8.3 MARKETING 149
8.3.1 AI TO REVOLUTIONIZE MARKETING TRENDS THROUGH HYPER-PERSONALIZATION, PREDICTIVE ANALYTICS, AND REAL-TIME DECISION-MAKING 149
8.4 SALES 150
8.4.1 AIAAS PLATFORMS TO OFFER IMMEDIATE UNDERSTANDING OF CUSTOMER ACTIONS, ALLOWING SALES TEAMS TO CUSTOMIZE THEIR SALES PITCHES AND PROMOTIONS 150
8.5 OPERATIONS & SUPPLY CHAIN 152
8.5.1 AI-DRIVEN PREDICTIVE ANALYSIS TO RECOGNIZE POSSIBLE INTERRUPTIONS AND RESTRICTIONS IN SUPPLY NETWORK, ALLOWING FOR PREEMPTIVE RISK MANAGEMENT APPROACHES 152
8.6 HUMAN RESOURCES 153
8.6.1 AI PROGRAMS TO ANTICIPATE UPCOMING SKILL DEFICIENCIES, DETECT POSSIBLE TURNOVER CONCERNS, AND SUGGEST SPECIFIC INTERVENTIONS 153
9 AI AS A SERVICE MARKET, BY ORGANIZATION SIZE 155
9.1 INTRODUCTION 156
9.1.1 ORGANIZATION SIZE: AI AS A SERVICE MARKET DRIVERS 156
9.2 SMALL & MEDIUM-SIZED ENTERPRISES 158
9.2.1 SMES CAN USE GENERATIVE AIAAS IN AUTOMATING CUSTOMER SERVICE OR IN ANALYZING HUGE DATASETS 158
9.3 LARGE ENTERPRISES 159
9.3.1 AIAAS MODEL ENABLES QUICK DEPLOYMENT AND INTEGRATION OF AI CAPABILITIES, WHICH IS CRUCIAL FOR LARGE ENTERPRISES LOOKING TO STAY COMPETITIVE 159
10 AI AS A SERVICE MARKET, BY END USER 160
10.1 INTRODUCTION 161
10.1.1 END USER: AI AS A SERVICE MARKET DRIVERS 161
10.2 ENTERPRISES 163
10.2.1 BFSI 165
10.2.1.1 AIaaS and blockchain to create secure, transparent transactions in BFSI domain 165
10.2.2 RETAIL & E-COMMERCE 166
10.2.2.1 Advancements in machine learning, natural language processing, and computer vision technologies to drive retail & e-commerce market growth 166
10.2.3 TECHNOLOGY 168
10.2.3.1 AIaaS to enable technology firms to rapidly test new concepts and applications by offering pre-built algorithms and models 168
10.2.4 MEDIA & ENTERTAINMENT 169
10.2.4.1 Media companies to use ML algorithms to analyze viewer preferences and behaviors to provide personalized content suggestions 169
10.2.5 MANUFACTURING 170
10.2.5.1 In manufacturing, predictive maintenance capability to be one of key benefits gained from AIaaS implementation 170
10.2.6 HEALTHCARE & LIFE SCIENCES 171
10.2.6.1 AIaaS to help address critical challenges in patient care, diagnostics, and drug development 171
10.2.7 ENERGY & UTILITIES 172
10.2.7.1 Data obtained from sensors and smart meters to allow energy suppliers to determine system inefficiencies by using AI 172
10.2.8 GOVERNMENT & DEFENSE 173
10.2.8.1 AI algorithms to detect potential threats and emerging patterns that need immediate attention by using large amounts of data from different sources 173
10.2.9 TELECOMMUNICATIONS 175
10.2.9.1 Telecom companies can achieve better understanding of customer preferences and behaviors by utilizing advanced ML models 175
10.2.10 TRANSPORTATION & LOGISTICS 176
10.2.10.1 AIaaS allows for route optimization by examining traffic patterns, weather conditions, and delivery windows 176
10.2.11 OTHER ENTERPRISE END USERS 177
10.3 INDIVIDUAL USERS 179
11 AI AS A SERVICE MARKET, BY REGION 180
11.1 INTRODUCTION 181
11.2 NORTH AMERICA 183
11.2.1 NORTH AMERICA: AI AS A SERVICE MARKET DRIVERS 183
11.2.2 NORTH AMERICA: MACROECONOMIC OUTLOOK 184
11.2.3 US 191
11.2.3.1 Rapid growth and responsible development of AIaaS market in US 191
11.2.4 CANADA 192
11.2.4.1 Canada’s strategic growth in AIaaS market: Innovation, investment, and ethical leadership 192
11.3 EUROPE 193
11.3.1 EUROPE: AI AS A SERVICE MARKET DRIVERS 193
11.3.2 EUROPE: MACROECONOMIC OUTLOOK 193
11.3.3 UK 199
11.3.3.1 UK’s leadership in AIaaS Market: Innovation, safety, and sustainable growth 199
11.3.4 GERMANY 200
11.3.4.1 Germany’s focus on ethical AI practices positions it well for continued growth in AIaaS market 200
11.3.5 FRANCE 201
11.3.5.1 France’s emphasis on ethical AI practices and regulatory frameworks to foster trust among businesses and consumers 201
11.3.6 ITALY 202
11.3.6.1 Digital Future for Italy is document that will help government officials and businesspersons shape their policies 202
11.3.7 SPAIN 203
11.3.7.1 Spanish government has recognized transformative potential of AI and developed national strategy 203
11.3.8 REST OF EUROPE 204
11.4 ASIA PACIFIC 205
11.4.1 ASIA PACIFIC: AI AS A SERVICE MARKET DRIVERS 206
11.4.2 ASIA PACIFIC: MACROECONOMIC OUTLOOK 206
11.4.3 CHINA 213
11.4.3.1 China’s use of Nvidia chips via Azure and Google Clouds highlights its ability to leverage global resources 213
11.4.4 INDIA 214
11.4.4.1 Growth of AIaaS market in India driven by combination of government initiatives and technological innovation 214
11.4.5 JAPAN 215
11.4.5.1 Government has recognized potential of AI to address demographic challenges and has implemented policies 215
11.4.6 SOUTH KOREA 217
11.4.6.1 South Korea introduced “Act on the Development and Distribution of AI” outlining guidelines for safe and ethical use of AI technologies 217
11.4.7 AUSTRALIA & NEW ZEALAND 218
11.4.7.1 Australian and New Zealand governments likely to continue fostering environment conducive to sustainable AI development 218
11.4.8 SINGAPORE 219
11.4.8.1 Singapore government investment will support initiatives that uplift various sectors by integrating AI 219
11.4.9 REST OF ASIA PACIFIC 220
11.5 MIDDLE EAST & AFRICA 221
11.5.1 MIDDLE EAST & AFRICA: AI AS A SERVICE MARKET DRIVERS 221
11.5.2 MIDDLE EAST & AFRICA: MACROECONOMIC OUTLOOK 222
11.5.3 MIDDLE EAST 228
11.5.3.1 Saudi Arabia 229
11.5.3.1.1 Saudi Arabia to be global leader in AI by fostering innovation, attracting international talent, and creating robust regulatory framework 229
11.5.3.2 UAE 230
11.5.3.2.1 UAE to be well-positioned to capitalize on growing demand for AIaaS by driving economic growth while addressing societal challenges through innovative AI applications 230
11.5.3.3 QATAR 231
11.5.3.3.1 Qatar’s commitment to diversifying its economy beyond oil and gas leading to significant initiatives aimed at integrating AI technologies across sectors 231
11.5.3.4 Turkey 232
11.5.3.4.1 Turkish AI ecosystem to benefit from international collaborations, such as the recent global initiatives led by Turkish Artificial Intelligence Initiative (TRAI) 232
11.5.3.5 Rest of Middle East 233
11.5.4 AFRICA 235
11.6 LATIN AMERICA 236
11.6.1 LATIN AMERICA: AI AS A SERVICE MARKET DRIVERS 236
11.6.2 LATIN AMERICA: MACROECONOMIC OUTLOOK 237
11.6.3 BRAZIL 242
11.6.3.1 Brazilian government has unveiled USD 4 billion initiative aimed at accelerating AI development 242
11.6.4 MEXICO 243
11.6.4.1 Vibrant startup ecosystem and increasing collaboration between government and private enterprises to drive growth of AIaaS market in Mexico 243
11.6.5 ARGENTINA 244
11.6.5.1 TIVIT announced investment of 1.5 billion pesos to promote AI and technological innovation in Argentina 244
11.6.6 REST OF LATIN AMERICA 245
12 COMPETITIVE LANDSCAPE 247
12.1 OVERVIEW 247
12.2 KEY PLAYER STRATEGIES/RIGHT TO WIN 247
12.3 REVENUE ANALYSIS 249
12.4 MARKET SHARE ANALYSIS 251
12.4.1 MARKET RANKING ANALYSIS 252
12.5 PRODUCT COMPARATIVE ANALYSIS 254
12.5.1 PRODUCT COMPARATIVE ANALYSIS, BY AI AS A SERVICE 254
12.5.1.1 Amazon SageMaker (AWS) 255
12.5.1.2 Vertex AI Studio (Google) 255
12.5.1.3 Azure AI Studio (Microsoft) 255
12.5.1.4 Watson Studio (IBM) 255
12.5.1.5 Oracle Code Assist (Oracle) 255
12.6 COMPANY VALUATION AND FINANCIAL METRICS 256
12.7 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2023 257
12.7.1 STARS 257
12.7.2 EMERGING LEADERS 257
12.7.3 PERVASIVE PLAYERS 257
12.7.4 PARTICIPANTS 257
12.7.5 COMPANY FOOTPRINT: KEY PLAYERS, 2023 259
12.7.5.1 Company Footprint 259
12.7.5.2 Region Footprint 260
12.7.5.3 Business Function Footprint 261
12.7.5.4 Product Type Footprint 262
12.7.5.5 End User Footprint 263
12.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2023 264
12.8.1 PROGRESSIVE COMPANIES 264
12.8.2 RESPONSIVE COMPANIES 264
12.8.3 DYNAMIC COMPANIES 264
12.8.4 STARTING BLOCKS 264
12.8.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2023 266
12.8.5.1 Detailed List of Key Startups/SMEs 266
12.8.5.2 Competitive Benchmarking Of Key Startups/SMEs 268
12.9 COMPETITIVE SCENARIO AND TRENDS 269
12.9.1 PRODUCT LAUNCHES AND ENHANCEMENTS 269
12.9.2 DEALS 276
13 COMPANY PROFILES 288
13.1 INTRODUCTION 288
13.1.1 MICROSOFT 288
13.1.1.1 Business overview 288
13.1.1.2 Products/Solutions/Services offered 290
13.1.1.3 Recent developments 291
13.1.1.3.1 Product launches and enhancements 291
13.1.1.3.2 Deals 292
13.1.1.4 MnM view 293
13.1.1.4.1 Right to win 293
13.1.1.4.2 Strategic choices 293
13.1.1.4.3 Weaknesses and competitive threats 294
13.1.2 IBM 295
13.1.2.1 Business overview 295
13.1.2.2 Products/Solutions/Services offered 296
13.1.2.3 Recent developments 298
13.1.2.3.1 Product enhancements 298
13.1.2.3.2 Deals 299
13.1.2.4 MnM view 300
13.1.2.4.1 Right to win 300
13.1.2.4.2 Strategic choices 300
13.1.2.4.3 Weaknesses and competitive threats 300
13.1.3 SAP 301
13.1.3.1 Business overview 301
13.1.3.2 Products/Solutions/Services offered 302
13.1.3.3 Recent developments 304
13.1.3.3.1 Product launches and enhancements 304
13.1.3.3.2 Deals 304
13.1.3.4 MnM view 306
13.1.3.4.1 Right to win 306
13.1.3.4.2 Strategic choices 306
13.1.3.4.3 Weaknesses and competitive threats 306
13.1.4 AWS 307
13.1.4.1 Business overview 307
13.1.4.2 Solutions/Services offered 308
13.1.4.3 Recent developments 310
13.1.4.3.1 Product launches and enhancements 310
13.1.4.3.2 Deals 311
13.1.4.4 MnM view 312
13.1.4.4.1 Right to win 312
13.1.4.4.2 Strategic choices 312
13.1.4.4.3 Weaknesses and competitive threats 312
13.1.5 GOOGLE 313
13.1.5.1 Business overview 313
13.1.5.2 Products/Solutions/Services offered 314
13.1.5.3 Recent developments 316
13.1.5.3.1 Product enhancements 316
13.1.5.3.2 Deals 317
13.1.5.4 MnM view 319
13.1.5.4.1 Right to win 319
13.1.5.4.2 Strategic choices 319
13.1.5.4.3 Weaknesses and competitive threats 319
13.1.6 SALESFORCE 320
13.1.6.1 Business overview 320
13.1.6.2 Products/Solutions/Services offered 321
13.1.6.3 Recent developments 322
13.1.6.3.1 Product enhancements 322
13.1.6.3.2 Deals 323
13.1.7 ORACLE 325
13.1.7.1 Business overview 325
13.1.7.2 Products/Solutions/Services offered 326
13.1.7.3 Recent developments 328
13.1.7.3.1 Product enhancements 328
13.1.7.3.2 Deals 328
13.1.8 NVIDIA 330
13.1.8.1 Business overview 330
13.1.8.2 Products/Solutions/Services offered 331
13.1.8.3 Recent developments 332
13.1.8.3.1 Product launches and enhancements 332
13.1.8.3.2 Deals 333
13.1.9 FICO 335
13.1.9.1 Business overview 335
13.1.9.2 Products/Solutions/Services offered 336
13.1.9.3 Recent developments 337
13.1.9.3.1 Product enhancements 337
13.1.9.3.2 Deals 338
13.1.10 CLOUDERA 339
13.1.10.1 Business overview 339
13.1.10.2 Products/Solutions/Services offered 340
13.1.10.3 Recent developments 341
13.1.10.3.1 Product enhancements 341
13.1.10.3.2 Deals 342
13.1.11 SERVICENOW 343
13.1.12 HPE 344
13.1.13 ALTAIR 345
13.1.14 OPENAI 346
13.1.15 SAS INSTITUTE 347
13.1.16 DATAROBOT 348
13.1.17 DATABRICKS 349
13.1.18 C3 AI 349
13.1.19 H20.AI 350
13.1.20 ALIBABA CLOUD 351
13.2 STARTUP/SME PROFILES 352
13.2.1 RAINBIRD TECHNOLOGIES 352
13.2.2 BIGML 353
13.2.3 COHERE 354
13.2.4 GLEAN 354
13.2.5 YOTTAMINE ANALYTICS 355
13.2.6 SCALE AI 355
13.2.7 LANDING AI 356
13.2.8 YELLOW.AI 357
13.2.9 INFLECTION AI 358
13.2.10 ANYSCALE 358
13.2.11 ABRIDGE 359
13.2.12 MISTRAL AI 360
13.2.13 CODEIUM 361
13.2.14 ARTHUR 362
13.2.15 LEVITY AI 363
13.2.16 UNSTRUCTURED AI 364
13.2.17 CLARIFAI 364
13.2.18 SYNTHESIA 365
13.2.19 KATONIC AI 366
13.2.20 DEEPSEARCH 367
13.2.21 MINDTITAN 368
13.2.22 VISO.AI 369
13.2.23 SOFTWEB SOLUTIONS 370
14 ADJACENT AND RELATED MARKETS 371
14.1 INTRODUCTION 371
14.2 ARTIFICIAL INTELLIGENCE (AI) MARKET – GLOBAL FORECAST TO 2030 371
14.2.1 MARKET DEFINITION 371
14.2.2 MARKET OVERVIEW 371
14.2.2.1 Artificial Intelligence Market, By Offering 372
14.2.2.2 Artificial Intelligence Market, By Technology 373
14.2.2.3 Artificial Intelligence Market, By Business Function 374
14.2.2.4 Artificial Intelligence Market, By Vertical 375
14.2.2.5 Artificial Intelligence Market, By Region 376
14.3 GENERATIVE AI MARKET – GLOBAL FORECAST TO 2030 377
14.3.1 MARKET DEFINITION 377
14.3.2 MARKET OVERVIEW 377
14.3.2.1 Generative AI Market, By Offering 378
14.3.2.2 Generative AI Market, By Application 378
14.3.2.3 Generative AI Market, By Vertical 380
14.3.2.4 Generative AI Market, By Region 381
15 APPENDIX 383
15.1 DISCUSSION GUIDE 383
15.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 389
15.3 CUSTOMIZATION OPTIONS 391
15.4 RELATED REPORTS 391
15.5 AUTHOR DETAILS 392
LIST OF TABLES
TABLE 1 UNITED STATES DOLLAR EXCHANGE RATE, 2019–2023 37
TABLE 2 PRIMARY INTERVIEWS 41
TABLE 3 FACTOR ANALYSIS 49
TABLE 4 GLOBAL AI AS A SERVICE MARKET SIZE AND GROWTH RATE,
2019–2023 (USD MILLION, Y-O-Y %) 54
TABLE 5 GLOBAL AI AS A SERVICE MARKET SIZE AND GROWTH RATE,
2024–2029 (USD MILLION, Y-O-Y %) 54
TABLE 6 AI AS A SERVICE MARKET: ECOSYSTEM 72
TABLE 7 NORTH AMERICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 85
TABLE 8 EUROPE: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 86
TABLE 9 ASIA PACIFIC: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 86
TABLE 10 MIDDLE EAST & AFRICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 87
TABLE 11 LATIN AMERICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 88
TABLE 12 PATENTS FILED, 2015–2024 97
TABLE 13 LIST OF FEW PATENTS IN AI AS A SERVICE MARKET, 2023–2024 98
TABLE 14 AVERAGE SELLING PRICES OF KEY PLAYERS FOR TOP 3 SERVICE TYPES 103
TABLE 15 INDICATIVE PRICING LEVELS OF AI AS A SERVICE SOLUTIONS, BY PRODUCT TYPE 104
TABLE 16 AI AS A SERVICE MARKET: DETAILED LIST OF CONFERENCES & EVENTS,
2024–2025 105
TABLE 17 PORTERS’ FIVE FORCES’ IMPACT ON AI AS A SERVICE MARKET 109
TABLE 18 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE END USERS 112
TABLE 19 KEY BUYING CRITERIA FOR TOP THREE END USERS 112
TABLE 20 AI AS A SERVICE MARKET, BY PRODUCT TYPE, 2019–2023 (USD MILLION) 115
TABLE 21 AI AS A SERVICE MARKET, BY PRODUCT TYPE, 2024–2029 (USD MILLION) 116
TABLE 22 CHATBOTS & VIRTUAL ASSISTANTS: AI AS A SERVICE MARKET, BY REGION,
2019–2023 (USD MILLION) 117
TABLE 23 CHATBOTS & VIRTUAL ASSISTANTS: AI AS A SERVICE MARKET, BY REGION, 2024–2029 (USD MILLION) 117
TABLE 24 MACHINE LEARNING FRAMEWORKS: AI AS A SERVICE MARKET, BY REGION,
2019–2023 (USD MILLION) 118
TABLE 25 MACHINE LEARNING FRAMEWORKS: AI AS A SERVICE MARKET, BY REGION,
2024–2029 (USD MILLION) 118
TABLE 26 APPLICATION PROGRAMMING INTERFACE: AI AS A SERVICE MARKET, BY REGION, 2019–2023 (USD MILLION) 119
TABLE 27 APPLICATION PROGRAMMING INTERFACE: AI AS A SERVICE MARKET, BY REGION, 2024–2029 (USD MILLION) 119
TABLE 28 NO-CODE OR LOW-CODE ML TOOLS: AI AS A SERVICE MARKET, BY REGION,
2019–2023 (USD MILLION) 120
TABLE 29 NO-CODE OR LOW-CODE ML TOOLS: AI AS A SERVICE MARKET, BY REGION, 2024–2029 (USD MILLION) 121
TABLE 30 DATA PRE-PROCESSING TOOLS: AI AS A SERVICE MARKET, BY REGION,
2019–2023 (USD MILLION) 121
TABLE 31 DATA PRE-PROCESSING TOOLS: AI AS A SERVICE MARKET, BY REGION,
2024–2029 (USD MILLION) 122
TABLE 32 AI AS A SERVICE MARKET, BY SERVICE TYPE, 2019–2023 (USD MILLION) 125
TABLE 33 AI AS A SERVICE MARKET, BY SERVICE TYPE, 2024–2029 (USD MILLION) 126
TABLE 34 MACHINE LEARNING AS A SERVICE: AI AS A SERVICE MARKET, BY REGION,
2019–2023 (USD MILLION) 127
TABLE 35 MACHINE LEARNING AS A SERVICE: AI AS A SERVICE MARKET, BY REGION,
2024–2029 (USD MILLION) 127
TABLE 36 NATURAL LANGUAGE PROCESSING AS A SERVICE: AI AS A SERVICE MARKET,
BY REGION, 2019–2023 (USD MILLION) 131
TABLE 37 NATURAL LANGUAGE PROCESSING AS A SERVICE: AI AS A SERVICE MARKET,
BY REGION, 2024–2029 (USD MILLION) 131
TABLE 38 COMPUTER VISION AS A SERVICE: AI AS A SERVICE MARKET, BY REGION,
2019–2023 (USD MILLION) 134
TABLE 39 COMPUTER VISION AS A SERVICE: AI AS A SERVICE MARKET, BY REGION,
2024–2029 (USD MILLION) 135
TABLE 40 PREDICTIVE ANALYTICS AND DATA SCIENCE AS A SERVICE: AI AS A SERVICE MARKET, BY REGION, 2019–2023 (USD MILLION) 138
TABLE 41 PREDICTIVE ANALYTICS AND DATA SCIENCE AS A SERVICE: AI AS A SERVICE MARKET, BY REGION, 2024–2029 (USD MILLION) 138
TABLE 42 GENERATIVE AI AS A SERVICE: AI AS A SERVICE MARKET, BY REGION,
2019–2023 (USD MILLION) 141
TABLE 43 GENERATIVE AI AS A SERVICE: AI AS A SERVICE MARKET, BY REGION,
2024–2029 (USD MILLION) 142
TABLE 44 AI AS A SERVICE MARKET, BY BUSINESS FUNCTION, 2019–2023 (USD MILLION) 147
TABLE 45 AI AS A SERVICE MARKET, BY BUSINESS FUNCTION, 2024–2029 (USD MILLION) 147
TABLE 46 FINANCE: AI AS A SERVICE MARKET, BY REGION, 2019–2023 (USD MILLION) 148
TABLE 47 FINANCE: AI AS A SERVICE MARKET, BY REGION, 2024–2029 (USD MILLION) 149
TABLE 48 MARKETING: AI AS A SERVICE MARKET, BY REGION, 2019–2023 (USD MILLION) 150
TABLE 49 MARKETING: AI AS A SERVICE MARKET, BY REGION, 2024–2029 (USD MILLION) 150
TABLE 50 SALES: AI AS A SERVICE MARKET, BY REGION, 2019–2023 (USD MILLION) 151
TABLE 51 SALES: AI AS A SERVICE MARKET, BY REGION, 2024–2029 (USD MILLION) 151
TABLE 52 OPERATIONS & SUPPLY CHAIN: AI AS A SERVICE MARKET, BY REGION,
2019–2023 (USD MILLION) 152
TABLE 53 OPERATIONS & SUPPLY CHAIN: AI AS A SERVICE MARKET, BY REGION,
2024–2029 (USD MILLION) 153
TABLE 54 HUMAN RESOURCES: AI AS A SERVICE MARKET, BY REGION,
2019–2023 (USD MILLION) 154
TABLE 55 HUMAN RESOURCES: AI AS A SERVICE MARKET, BY REGION,
2024–2029 (USD MILLION) 154
TABLE 56 AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION) 157
TABLE 57 AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION) 157
TABLE 58 SMES: AI AS A SERVICE MARKET, BY REGION, 2019–2023 (USD MILLION) 158
TABLE 59 SMES: AI AS A SERVICE MARKET, BY REGION, 2024–2029 (USD MILLION) 158
TABLE 60 LARGE ENTERPRISES: AI AS A SERVICE MARKET, BY REGION,
2019–2023 (USD MILLION) 159
TABLE 61 LARGE ENTERPRISES: AI AS A SERVICE MARKET, BY REGION,
2024–2029 (USD MILLION) 159
TABLE 62 AI AS A SERVICE MARKET, BY END USER, 2019–2023 (USD MILLION) 162
TABLE 63 AI AS A SERVICE MARKET, BY END USER, 2024–2029 (USD MILLION) 162
TABLE 64 AI AS A SERVICE MARKET, BY ENTERPRISE, 2019–2023 (USD MILLION) 164
TABLE 65 AI AS A SERVICE MARKET, BY ENTERPRISE, 2024–2029 (USD MILLION) 165
TABLE 66 BFSI: AI AS A SERVICE MARKET, BY REGION, 2019–2023 (USD MILLION) 166
TABLE 67 BFSI: AI AS A SERVICE MARKET, BY REGION, 2024–2029 (USD MILLION) 166
TABLE 68 RETAIL & E-COMMERCE: AI AS A SERVICE MARKET, BY REGION,
2019–2023 (USD MILLION) 167
TABLE 69 RETAIL & E-COMMERCE: AI AS A SERVICE MARKET, BY REGION,
2024–2029 (USD MILLION) 167
TABLE 70 TECHNOLOGY: AI AS A SERVICE MARKET, BY REGION, 2019–2023 (USD MILLION) 168
TABLE 71 TECHNOLOGY: AI AS A SERVICE MARKET, BY REGION, 2024–2029 (USD MILLION) 168
TABLE 72 MEDIA & ENTERTAINMENT: AI AS A SERVICE MARKET, BY REGION,
2019–2023 (USD MILLION) 169
TABLE 73 MEDIA & ENTERTAINMENT: AI AS A SERVICE MARKET, BY REGION,
2024–2029 (USD MILLION) 170
TABLE 74 MANUFACTURING: AI AS A SERVICE MARKET, BY REGION,
2019–2023 (USD MILLION) 170
TABLE 75 MANUFACTURING: AI AS A SERVICE MARKET, BY REGION,
2024–2029 (USD MILLION) 171
TABLE 76 HEALTHCARE & LIFE SCIENCES: AI AS A SERVICE MARKET, BY REGION,
2019–2023 (USD MILLION) 171
TABLE 77 HEALTHCARE & LIFE SCIENCES: AI AS A SERVICE MARKET, BY REGION,
2024–2029 (USD MILLION) 172
TABLE 78 ENERGY & UTILITIES: AI AS A SERVICE MARKET, BY REGION,
2019–2023 (USD MILLION) 173
TABLE 79 ENERGY & UTILITIES: AI AS A SERVICE MARKET, BY REGION,
2024–2029 (USD MILLION) 173
TABLE 80 GOVERNMENT & DEFENSE: AI AS A SERVICE MARKET, BY REGION,
2019–2023 (USD MILLION) 174
TABLE 81 GOVERNMENT & DEFENSE: AI AS A SERVICE MARKET, BY REGION,
2024–2029 (USD MILLION) 174
TABLE 82 TELECOMMUNICATIONS: AI AS A SERVICE MARKET, BY REGION,
2019–2023 (USD MILLION) 175
TABLE 83 TELECOMMUNICATIONS: AI AS A SERVICE MARKET, BY REGION,
2024–2029 (USD MILLION) 176
TABLE 84 TRANSPORTATION & LOGISTICS: AI AS A SERVICE MARKET, BY REGION,
2019–2023 (USD MILLION) 177
TABLE 85 TRANSPORTATION & LOGISTICS: AI AS A SERVICE MARKET, BY REGION,
2024–2029 (USD MILLION) 177
TABLE 86 OTHER ENTERPRISE LEVEL END USERS: AI AS A SERVICE MARKET, BY REGION, 2019–2023 (USD MILLION) 178
TABLE 87 OTHER ENTERPRISE LEVEL END USERS: AI AS A SERVICE MARKET, BY REGION, 2024–2029 (USD MILLION) 178
TABLE 88 INDIVIDUAL USERS: AI AS A SERVICE MARKET, BY REGION,
2019–2023 (USD MILLION) 179
TABLE 89 INDIVIDUAL USERS: AI AS A SERVICE MARKET, BY REGION,
2024–2029 (USD MILLION) 179
TABLE 90 AI AS A SERVICE MARKET, BY REGION, 2019–2023 (USD MILLION) 182
TABLE 91 AI AS A SERVICE MARKET, BY REGION, 2024–2029 (USD MILLION) 183
TABLE 92 NORTH AMERICA: AI AS A SERVICE MARKET, BY PRODUCT TYPE,
2019–2023 (USD MILLION) 186
TABLE 93 NORTH AMERICA: AI AS A SERVICE MARKET, BY PRODUCT TYPE,
2024–2029 (USD MILLION) 186
TABLE 94 NORTH AMERICA: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE,
2019–2023 (USD MILLION) 186
TABLE 95 NORTH AMERICA: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE,
2024–2029 (USD MILLION) 187
TABLE 96 NORTH AMERICA: AI AS A SERVICE MARKET, BY BUSINESS FUNCTION,
2019–2023 (USD MILLION) 187
TABLE 97 NORTH AMERICA: AI AS A SERVICE MARKET, BY BUSINESS FUNCTION,
2024–2029 (USD MILLION) 187
TABLE 98 NORTH AMERICA: AI AS A SERVICE MARKET, BY SERVICE TYPE,
2019–2023 (USD MILLION) 188
TABLE 99 NORTH AMERICA: AI AS A SERVICE MARKET, BY SERVICE TYPE,
2024–2029 (USD MILLION) 188
TABLE 100 NORTH AMERICA: AI AS A SERVICE MARKET, BY END USER,
2019–2023 (USD MILLION) 188
TABLE 101 NORTH AMERICA: AI AS A SERVICE MARKET, BY END USER,
2024–2029 (USD MILLION) 189
TABLE 102 NORTH AMERICA: AI AS A SERVICE MARKET, BY ENTERPRISE,
2019–2023 (USD MILLION) 189
TABLE 103 NORTH AMERICA: AI AS A SERVICE MARKET, BY ENTERPRISE,
2024–2029 (USD MILLION) 190
TABLE 104 NORTH AMERICA: AI AS A SERVICE MARKET, BY COUNTRY,
2019–2023 (USD MILLION) 190
TABLE 105 NORTH AMERICA: AI AS A SERVICE MARKET, BY COUNTRY,
2024–2029 (USD MILLION) 190
TABLE 106 US: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION) 191
TABLE 107 US: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION) 191
TABLE 108 CANADA: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE,
2019–2023 (USD MILLION) 192
TABLE 109 CANADA: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE,
2024–2029 (USD MILLION) 192
TABLE 110 EUROPE: AI AS A SERVICE MARKET, BY PRODUCT TYPE,
2019–2023 (USD MILLION) 194
TABLE 111 EUROPE: AI AS A SERVICE MARKET, BY PRODUCT TYPE,
2024–2029 (USD MILLION) 194
TABLE 112 EUROPE: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE,
2019–2023 (USD MILLION) 194
TABLE 113 EUROPE: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE,
2024–2029 (USD MILLION) 195
TABLE 114 EUROPE: AI AS A SERVICE MARKET, BY BUSINESS FUNCTION,
2019–2023 (USD MILLION) 195
TABLE 115 EUROPE: AI AS A SERVICE MARKET, BY BUSINESS FUNCTION,
2024–2029 (USD MILLION) 195
TABLE 116 EUROPE: AI AS A SERVICE MARKET, BY SERVICE TYPE, 2019–2023 (USD MILLION) 196
TABLE 117 EUROPE: AI AS A SERVICE MARKET, BY SERVICE TYPE, 2024–2029 (USD MILLION) 196
TABLE 118 EUROPE: AI AS A SERVICE MARKET, BY END USER, 2019–2023 (USD MILLION) 196
TABLE 119 EUROPE: AI AS A SERVICE MARKET, BY END USER, 2024–2029 (USD MILLION) 197
TABLE 120 EUROPE: AI AS A SERVICE MARKET, BY ENTERPRISE, 2019–2023 (USD MILLION) 197
TABLE 121 EUROPE: AI AS A SERVICE MARKET, BY ENTERPRISE, 2024–2029 (USD MILLION) 198
TABLE 122 EUROPE: AI AS A SERVICE MARKET, BY COUNTRY, 2019–2023 (USD MILLION) 198
TABLE 123 EUROPE: AI AS A SERVICE MARKET, BY COUNTRY, 2024–2029 (USD MILLION) 199
TABLE 124 UK: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE,
2019–2023 (USD MILLION) 200
TABLE 125 UK: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE,
2024–2029 (USD MILLION) 200
TABLE 126 GERMANY: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION) 201
TABLE 127 GERMANY: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE,
2024–2029 (USD MILLION) 201
TABLE 128 FRANCE: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE,
2019–2023 (USD MILLION) 202
TABLE 129 FRANCE: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE,
2024–2029 (USD MILLION) 202
TABLE 130 ITALY: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE,
2019–2023 (USD MILLION) 203
TABLE 131 ITALY: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE,
2024–2029 (USD MILLION) 203
TABLE 132 SPAIN: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE,
2019–2023 (USD MILLION) 204
TABLE 133 SPAIN: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE,
2024–2029 (USD MILLION) 204
TABLE 134 REST OF EUROPE: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE,
2019–2023 (USD MILLION) 205
TABLE 135 REST OF EUROPE: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE,
2024–2029 (USD MILLION) 205
TABLE 136 ASIA PACIFIC: AI AS A SERVICE MARKET, BY PRODUCT TYPE,
2019–2023 (USD MILLION) 208
TABLE 137 ASIA PACIFIC: AI AS A SERVICE MARKET, BY PRODUCT TYPE,
2024–2029 (USD MILLION) 208
TABLE 138 ASIA PACIFIC: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE,
2019–2023 (USD MILLION) 208
TABLE 139 ASIA PACIFIC: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE,
2024–2029 (USD MILLION) 209
TABLE 140 ASIA PACIFIC: AI AS A SERVICE MARKET, BY BUSINESS FUNCTION,
2019–2023 (USD MILLION) 209
TABLE 141 ASIA PACIFIC: AI AS A SERVICE MARKET, BY BUSINESS FUNCTION,
2024–2029 (USD MILLION) 209
TABLE 142 ASIA PACIFIC: AI AS A SERVICE MARKET, BY SERVICE TYPE,
2019–2023 (USD MILLION) 210
TABLE 143 ASIA PACIFIC: AI AS A SERVICE MARKET, BY SERVICE TYPE,
2024–2029 (USD MILLION) 210
TABLE 144 ASIA PACIFIC: AI AS A SERVICE MARKET, BY END USER,
2019–2023 (USD MILLION) 210
TABLE 145 ASIA PACIFIC: AI AS A SERVICE MARKET, BY END USER,
2024–2029 (USD MILLION) 211
TABLE 146 ASIA PACIFIC: AI AS A SERVICE MARKET, BY ENTERPRISE,
2019–2023 (USD MILLION) 211
TABLE 147 ASIA PACIFIC: AI AS A SERVICE MARKET, BY ENTERPRISE,
2024–2029 (USD MILLION) 212
TABLE 148 ASIA PACIFIC: AI AS A SERVICE MARKET, BY COUNTRY, 2019–2023 (USD MILLION) 212
TABLE 149 ASIA PACIFIC: AI AS A SERVICE MARKET, BY COUNTRY, 2024–2029 (USD MILLION) 213
TABLE 150 CHINA: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE,
2019–2023 (USD MILLION) 214
TABLE 151 CHINA: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE,
2024–2029 (USD MILLION) 214
TABLE 152 INDIA: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE,
2019–2023 (USD MILLION) 215
TABLE 153 INDIA: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE,
2024–2029 (USD MILLION) 215
TABLE 154 JAPAN: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE,
2019–2023 (USD MILLION) 216
TABLE 155 JAPAN: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE,
2024–2029 (USD MILLION) 216
TABLE 156 SOUTH KOREA: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE,
2019–2023 (USD MILLION) 217
TABLE 157 SOUTH KOREA: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE,
2024–2029 (USD MILLION) 217
TABLE 158 AUSTRALIA & NEW ZEALAND: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION) 218
TABLE 159 AUSTRALIA & NEW ZEALAND: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION) 219
TABLE 160 SINGAPORE: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE,
2019–2023 (USD MILLION) 219
TABLE 161 SINGAPORE: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE,
2024–2029 (USD MILLION) 220
TABLE 162 REST OF ASIA PACIFIC: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE,
2019–2023 (USD MILLION) 220
TABLE 163 REST OF ASIA PACIFIC: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE,
2024–2029 (USD MILLION) 221
TABLE 164 MIDDLE EAST & AFRICA: AI AS A SERVICE MARKET, BY PRODUCT TYPE,
2019–2023 (USD MILLION) 222
TABLE 165 MIDDLE EAST & AFRICA: AI AS A SERVICE MARKET, BY PRODUCT TYPE,
2024–2029 (USD MILLION) 223
TABLE 166 MIDDLE EAST & AFRICA: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE,
2019–2023 (USD MILLION) 223
TABLE 167 MIDDLE EAST & AFRICA: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE,
2024–2029 (USD MILLION) 223
TABLE 168 MIDDLE EAST & AFRICA: AI AS A SERVICE MARKET, BY BUSINESS FUNCTION, 2019–2023 (USD MILLION) 224
TABLE 169 MIDDLE EAST & AFRICA: AI AS A SERVICE MARKET, BY BUSINESS FUNCTION, 2024–2029 (USD MILLION) 224
TABLE 170 MIDDLE EAST & AFRICA: AI AS A SERVICE MARKET, BY SERVICE TYPE,
2019–2023 (USD MILLION) 224
TABLE 171 MIDDLE EAST & AFRICA: AI AS A SERVICE MARKET, BY SERVICE TYPE,
2024–2029 (USD MILLION) 225
TABLE 172 MIDDLE EAST & AFRICA: AI AS A SERVICE MARKET, BY END USER,
2019–2023 (USD MILLION) 225
TABLE 173 MIDDLE EAST & AFRICA: AI AS A SERVICE MARKET, BY END USER,
2024–2029 (USD MILLION) 225
TABLE 174 MIDDLE EAST & AFRICA: AI AS A SERVICE MARKET, BY ENTERPRISE,
2019–2023 (USD MILLION) 226
TABLE 175 MIDDLE EAST & AFRICA: AI AS A SERVICE MARKET, BY ENTERPRISE,
2024–2029 (USD MILLION) 226
TABLE 176 MIDDLE EAST & AFRICA: AI AS A SERVICE MARKET, BY REGION,
2019–2023 (USD MILLION) 227
TABLE 177 MIDDLE EAST AND AFRICA: AI AS A SERVICE MARKET, BY REGION,
2024–2029 (USD MILLION) 227
TABLE 178 MIDDLE EAST: AI AS A SERVICE MARKET, BY COUNTRY,
2019–2023 (USD MILLION) 227
TABLE 179 MIDDLE EAST: AI AS A SERVICE MARKET, BY COUNTRY,
2024–2029 (USD MILLION) 228
TABLE 180 SAUDI ARABIA: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE,
2019–2023 (USD MILLION) 229
TABLE 181 SAUDI ARABIA: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE,
2024–2029 (USD MILLION) 230
TABLE 182 UAE: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE,
2019–2023 (USD MILLION) 231
TABLE 183 UAE: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE,
2024–2029 (USD MILLION) 231
TABLE 184 QATAR: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE,
2019–2023 (USD MILLION) 232
TABLE 185 QATAR: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE,
2024–2029 (USD MILLION) 232
TABLE 186 TURKEY: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE,
2019–2023 (USD MILLION) 233
TABLE 187 TURKEY: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE,
2024–2029 (USD MILLION) 233
TABLE 188 REST OF MIDDLE EAST: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE,
2019–2023 (USD MILLION) 234
TABLE 189 REST OF MIDDLE EAST: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE,
2024–2029 (USD MILLION) 234
TABLE 190 AFRICA: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE,
2019–2023 (USD MILLION) 235
TABLE 191 AFRICA: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE,
2024–2029 (USD MILLION) 235
TABLE 192 LATIN AMERICA: AI AS A SERVICE MARKET, BY PRODUCT TYPE,
2019–2023 (USD MILLION) 237
TABLE 193 LATIN AMERICA: AI AS A SERVICE MARKET, BY PRODUCT TYPE,
2024–2029 (USD MILLION) 238
TABLE 194 LATIN AMERICA: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE,
2019–2023 (USD MILLION) 238
TABLE 195 LATIN AMERICA: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE,
2024–2029 (USD MILLION) 238
TABLE 196 LATIN AMERICA: AI AS A SERVICE MARKET, BY BUSINESS FUNCTION,
2019–2023 (USD MILLION) 239
TABLE 197 LATIN AMERICA: AI AS A SERVICE MARKET, BY BUSINESS FUNCTION,
2024–2029 (USD MILLION) 239
TABLE 198 LATIN AMERICA: AI AS A SERVICE MARKET, BY SERVICE TYPE,
2019–2023 (USD MILLION) 239
TABLE 199 LATIN AMERICA: AI AS A SERVICE MARKET, BY SERVICE TYPE,
2024–2029 (USD MILLION) 240
TABLE 200 LATIN AMERICA: AI AS A SERVICE MARKET, BY END USER,
2019–2023 (USD MILLION) 240
TABLE 201 LATIN AMERICA: AI AS A SERVICE MARKET, BY END USER,
2024–2029 (USD MILLION) 240
TABLE 202 LATIN AMERICA: AI AS A SERVICE MARKET, BY ENTERPRISE,
2019–2023 (USD MILLION) 241
TABLE 203 LATIN AMERICA: AI AS A SERVICE MARKET, BY ENTERPRISE,
2024–2029 (USD MILLION) 241
TABLE 204 LATIN AMERICA: AI AS A SERVICE MARKET, BY COUNTRY,
2019–2023 (USD MILLION) 242
TABLE 205 LATIN AMERICA: AI AS A SERVICE MARKET, BY COUNTRY,
2024–2029 (USD MILLION) 242
TABLE 206 BRAZIL: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE,
2019–2023 (USD MILLION) 243
TABLE 207 BRAZIL: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE,
2024–2029 (USD MILLION) 243
TABLE 208 MEXICO: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE,
2019–2023 (USD MILLION) 244
TABLE 209 MEXICO: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE,
2024–2029 (USD MILLION) 244
TABLE 210 ARGENTINA: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE,
2019–2023 (USD MILLION) 245
TABLE 211 ARGENTINA: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE,
2024–2029 (USD MILLION) 245
TABLE 212 REST OF LATIN AMERICA: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION) 246
TABLE 213 REST OF LATIN AMERICA: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION) 246
TABLE 214 OVERVIEW OF STRATEGIES ADOPTED BY KEY AI AS A SERVICE VENDORS 247
TABLE 215 AI AS A SERVICE MARKET: DEGREE OF COMPETITION 252
TABLE 216 REGION FOOTPRINT (19 COMPANIES) 260
TABLE 217 BUSINESS FUNCTION FOOTPRINT (19 COMPANIES) 261
TABLE 218 PRODUCT TYPE FOOTPRINT (19 COMPANIES) 262
TABLE 219 END USER FOOTPRINT (19 COMPANIES) 263
TABLE 220 AI AS A SERVICE MARKET: DETAILED LIST OF KEY STARTUPS/SMES 266
TABLE 221 AI AS A SERVICE MARKET: COMPETITIVE BENCHMARKING OF STARTUPS/SMES 268
TABLE 222 AI AS A SERVICE MARKET: PRODUCT LAUNCHES AND ENHANCEMENTS,
JANUARY 2021–SEPTEMBER 2024 269
TABLE 223 AI AS A SERVICE MARKET: DEALS, JANUARY 2021–SEPTEMBER 2024 276
TABLE 224 MICROSOFT: COMPANY OVERVIEW 289
TABLE 225 MICROSOFT: PRODUCTS/SOLUTIONS/SERVICES OFFERED 290
TABLE 226 MICROSOFT: PRODUCT LAUNCHES AND ENHANCEMENTS 291
TABLE 227 MICROSOFT: DEALS 292
TABLE 228 IBM: COMPANY OVERVIEW 295
TABLE 229 IBM: PRODUCTS/SOLUTIONS/SERVICES OFFERED 296
TABLE 230 IBM: PRODUCT ENHANCEMENTS 298
TABLE 231 IBM: DEALS 299
TABLE 232 SAP: COMPANY OVERVIEW 301
TABLE 233 SAP: PRODUCTS/SOLUTIONS/SERVICES OFFERED 302
TABLE 234 SAP: PRODUCT LAUNCHES AND ENHANCEMENTS 304
TABLE 235 SAP: DEALS 304
TABLE 236 AWS: COMPANY OVERVIEW 307
TABLE 237 AWS: SOLUTIONS/SERVICES OFFERED 308
TABLE 238 AWS: PRODUCT LAUNCHES AND ENHANCEMENTS 310
TABLE 239 AWS: DEALS 311
TABLE 240 GOOGLE: COMPANY OVERVIEW 313
TABLE 241 GOOGLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED 314
TABLE 242 GOOGLE: PRODUCT ENHANCEMENTS 316
TABLE 243 GOOGLE: DEALS 317
TABLE 244 SALESFORCE: COMPANY OVERVIEW 320
TABLE 245 SALESFORCE: PRODUCTS/SOLUTIONS/SERVICES OFFERED 321
TABLE 246 SALESFORCE: PRODUCT ENHANCEMENTS 322
TABLE 247 SALESFORCE: DEALS 323
TABLE 248 ORACLE: COMPANY OVERVIEW 325
TABLE 249 ORACLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED 326
TABLE 250 ORACLE: PRODUCT ENHANCEMENTS 328
TABLE 251 ORACLE: DEALS 328
TABLE 252 NVIDIA: COMPANY OVERVIEW 330
TABLE 253 NVIDIA: PRODUCTS/SOLUTIONS/SERVICES OFFERED 331
TABLE 254 NVIDIA: PRODUCT LAUNCHES AND ENHANCEMENTS 332
TABLE 255 NVIDIA: DEALS 333
TABLE 256 FICO: COMPANY OVERVIEW 335
TABLE 257 FICO: PRODUCTS/SOLUTIONS/SERVICES OFFERED 336
TABLE 258 FICO: PRODUCT ENHANCEMENTS 337
TABLE 259 FICO: DEALS 338
TABLE 260 CLOUDERA: COMPANY OVERVIEW 339
TABLE 261 CLOUDERA: PRODUCTS/SOLUTIONS/SERVICES OFFERED 340
TABLE 262 CLOUDERA: PRODUCT ENHANCEMENTS 341
TABLE 263 CLOUDERA: DEALS 342
TABLE 264 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2019–2023 (USD BILLION) 372
TABLE 265 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2024–2030 (USD BILLION) 372
TABLE 266 ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2019–2023 (USD BILLION) 373
TABLE 267 ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2024–2030 (USD BILLION) 373
TABLE 268 ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION,
2019–2023 (USD BILLION) 374
TABLE 269 ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION,
2024–2030 (USD BILLION) 374
TABLE 270 ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2019–2023 (USD BILLION) 375
TABLE 271 ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2024–2030 (USD BILLION) 376
TABLE 272 ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2019–2023 (USD BILLION) 377
TABLE 273 ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2024–2030 (USD BILLION) 377
TABLE 274 GENERATIVE AI MARKET, BY OFFERING, 2019–2023 (USD MILLION) 378
TABLE 275 GENERATIVE AI MARKET, BY OFFERING, 2024–2030 (USD MILLION) 378
TABLE 276 GENERATIVE AI MARKET, BY APPLICATION, 2019–2023 (USD MILLION) 379
TABLE 277 GENERATIVE AI MARKET, BY APPLICATION, 2024–2030 (USD MILLION) 379
TABLE 278 GENERATIVE AI MARKET, BY VERTICAL, 2019–2023 (USD MILLION) 380
TABLE 279 GENERATIVE AI MARKET, BY VERTICAL, 2024–2030 (USD MILLION) 381
TABLE 280 GENERATIVE AI MARKET, BY REGION, 2019–2023 (USD MILLION) 381
TABLE 281 GENERATIVE AI MARKET, BY REGION, 2024–2030 (USD MILLION) 382
LIST OF FIGURES
FIGURE 1 AI AS A SERVICE MARKET: RESEARCH DESIGN 40
FIGURE 2 DATA TRIANGULATION 43
FIGURE 3 AI AS A SERVICE MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES 44
FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY – APPROACH 1, BOTTOM UP
(SUPPLY SIDE): REVENUE FROM PRODUCT TYPES OF AI AS A SERVICE MARKET 45
FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY – APPROACH 2, BOTTOM UP
(SUPPLY SIDE): COLLECTIVE REVENUE FROM ALL PRODUCT TYPES OF AI AS A SERVICE MARKET 46
FIGURE 6 MARKET SIZE ESTIMATION METHODOLOGY – APPROACH 3, BOTTOM UP (SUPPLY SIDE): COLLECTIVE REVENUE FROM ALL PRODUCT TYPES OF AI AS A SERVICE MARKET 47
FIGURE 7 MARKET SIZE ESTIMATION METHODOLOGY – APPROACH 4, BOTTOM UP (DEMAND SIDE): SHARE OF AI AS A SERVICE THROUGH OVERALL AI SPENDING 48
FIGURE 8 MACHINE LEARNING FRAMEWORK SEGMENT TO HOLD LARGEST
MARKET SIZE IN 2024 54
FIGURE 9 SALES TO BE LEADING SEGMENT IN 2024 55
FIGURE 10 SMALL & MEDIUM-SIZED ENTERPRISES TO BE FASTER-GROWING DURING FORECAST PERIOD 55
FIGURE 11 MACHINE LEARNING AS A SERVICE SEGMENT TO HOLD LARGEST MARKET IN 2024 56
FIGURE 12 ENTERPRISES SEGMENT SET TO REGISTER LARGER MARKET SHARE IN 2024 56
FIGURE 13 HEALTHCARE & LIFE SCIENCES TO WITNESS HIGHEST GROWTH RATE DURING FORECAST PERIOD 57
FIGURE 14 ASIA PACIFIC TO REGISTER FASTEST GROWTH BETWEEN 2024 AND 2029 57
FIGURE 15 RISE OF PRE-TRAINED AI MODELS AND GROWING DEMAND FOR AI-ENHANCED CYBERSECURITY SOLUTIONS TO DRIVE MARKET GROWTH 58
FIGURE 16 GENERATIVE AI AS A SERVICE SEGMENT TO ACCOUNT FOR HIGHEST GROWTH RATE DURING FORECAST PERIOD 59
FIGURE 17 MACHINE LEARNING FRAMEWORKS AND BFSI TO BE LARGEST SHAREHOLDERS IN NORTH AMERICA AI AS A SERVICE MARKET IN 2024 59
FIGURE 18 NORTH AMERICA TO HOLD LARGEST MARKET SHARE IN 2024 60
FIGURE 19 AI AS A SERVICE MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES 62
FIGURE 20 DATA CENTERS PROJECTED TO REPRESENT 13% OF GLOBAL ANNUAL ELECTRICITY CONSUMPTION AND 6% OF CARBON FOOTPRINT BY 2030 64
FIGURE 21 MARKET POTENTIAL OF GENERATIVE AI IN ENHANCING
AI AS A SERVICE ACROSS INDUSTRIES 68
FIGURE 22 EVOLUTION OF AI AS A SERVICE MARKET 70
FIGURE 23 KEY PLAYERS IN AI AS A SERVICE MARKET ECOSYSTEM 73
FIGURE 24 AI AS A SERVICE MARKET: SUPPLY CHAIN ANALYSIS 75
FIGURE 25 AI EQUITY FUNDING (BILLION) AND DEALS, 2019–2024 77
FIGURE 26 LEADING AI AS A SERVICE VENDORS, BY FUNDING VALUE (BILLION) AND FUNDING ROUND, 2015–2024 77
FIGURE 27 KEY ARCHITECTURAL COMPONENTS OF AIAAS 95
FIGURE 28 NUMBER OF PATENTS GRANTED FOR AI AS A SERVICE MARKET, 2015–2024 98
FIGURE 29 REGIONAL ANALYSIS OF PATENTS GRANTED, 2015–2024 102
FIGURE 30 AVERAGE SELLING PRICES OF KEY PLAYERS FOR TOP 3 SERVICE TYPES 103
FIGURE 31 AI AS A SERVICE MARKET: PORTER’S FIVE FORCES ANALYSIS 108
FIGURE 32 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS 111
FIGURE 33 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE END USERS 111
FIGURE 34 KEY BUYING CRITERIA FOR TOP THREE END USERS 112
FIGURE 35 NO-CODE OR LOW-CODE ML TOOLS TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD 115
FIGURE 36 GENERATIVE AI AS A SERVICE SEGMENT TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD 125
FIGURE 37 OPERATIONS & SUPPLY CHAIN SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 147
FIGURE 38 SMES SEGMENT TO REGISTER HIGHER CAGR DURING FORECAST PERIOD 157
FIGURE 39 INDIVIDUAL USERS SEGMENT TO GROW AT HIGHER CAGR DURING
FORECAST PERIOD 162
FIGURE 40 HEALTHCARE & LIFE SCIENCES SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 164
FIGURE 41 ASIA PACIFIC TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD 181
FIGURE 42 INDIA TO REGISTER HIGHEST GROWTH RATE IN AI AS A SERVICE MARKET DURING FORECAST PERIOD 182
FIGURE 43 NORTH AMERICA: AI AS A SERVICE MARKET SNAPSHOT 185
FIGURE 44 ASIA PACIFIC: AI AS A SERVICE MARKET SNAPSHOT 207
FIGURE 45 TOP 5 PUBLIC PLAYERS HAVE DOMINATED MARKET FOR LAST 5 YEARS 250
FIGURE 46 SHARE OF LEADING COMPANIES IN AI AS A SERVICE MARKET, 2023 251
FIGURE 47 PRODUCT COMPARATIVE ANALYSIS, BY AI AS A SERVICE 254
FIGURE 48 COMPANY VALUATION AND FINANCIAL METRICS OF KEY VENDORS 256
FIGURE 49 YEAR-TO-DATE (YTD) PRICE TOTAL RETURN AND 5-YEAR STOCK BETA OF KEY VENDORS 256
FIGURE 50 AI AS A SERVICE MARKET: COMPANY EVALUATION MATRIX (KEY PLAYERS), 2023 258
FIGURE 51 COMPANY FOOTPRINT (19 COMPANIES) 259
FIGURE 52 AI AS A SERVICE MARKET:
COMPANY EVALUATION MATRIX (STARTUPS/SMES), 2023 265
FIGURE 53 MICROSOFT: COMPANY SNAPSHOT 289
FIGURE 54 IBM: COMPANY SNAPSHOT 296
FIGURE 55 SAP: COMPANY SNAPSHOT 302
FIGURE 56 AWS: COMPANY SNAPSHOT 308
FIGURE 57 GOOGLE: COMPANY SNAPSHOT 314
FIGURE 58 SALESFORCE: COMPANY SNAPSHOT 321
FIGURE 59 ORACLE: COMPANY SNAPSHOT 326
FIGURE 60 NVIDIA: COMPANY SNAPSHOT 331
FIGURE 61 FICO: COMPANY SNAPSHOT 336
