조사회사 : MarketsandMarkets (마켓츠앤마켓츠) 출판년월 : 2024년07월
ModelOps Market – Global Forecast To 2029
ModelOps 시장 – 제공물(플랫폼 & 서비스), 용도(CI/CD, 모니터링 & 경보), 모델 타입(ML 모델, 그래프 모델, 에이전트 기반 모델), 시장 규모, 점유율, 성장 분석, 업종 및 지역 – 2029년까지 세계 업계 예측
ModelOps Market Size, Share, Growth Analysis, By Offering (Platforms & Services), Application (CI/CD, Monitoring & Alerting), Model Type (ML Model, Graph Model, Agent-based Model), Vertical and Region – Global Industry Forecast to 2029
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| Enterprise License | USD 10.000 |
| 구성 | 영문조사보고서 |
Report Overview
The global ModelOps Market is valued at USD 5.4 billion in 2024 and is estimated to reach USD 29.5 billion in 2029, registering a CAGR of 40.2% during the forecast period.
전 세계 ModelOps 시장은 2024년에 54억 달러로 평가되었으며, 2029년에는 295억 달러에 이를 것으로 예상되며 예측 기간 동안 40.2%의 CAGR을 기록합니다.
The ModelOps Market focuses on optimizing the deployment, monitoring, and management of machine learning models in production. It encompasses automating model deployment, continuous monitoring for performance and data drift, ensuring governance and compliance, orchestrating automation for testing and retraining, and fostering collaboration among data scientists and stakeholders. This market is driven by the demand for scalable, reliable, and agile solutions across industries, enhancing operational efficiency and maximizing the value derived from AI initiatives. As AI and ML technologies advance, ModelOps continues to evolve with innovations in containerization, Kubernetes orchestration, and AI-driven automation, reshaping how organizations operationalize and derive insights from their models.
“By offering, the platforms segment is projected to hold the largest market size during the forecast period.”
In the rapidly evolving ModelOps market, platforms offering comprehensive solutions have seized the largest market share due to their integrated approach to managing the entire lifecycle of machine learning models. These platforms streamline operations by consolidating development, training, deployment, and monitoring processes into a unified environment, appealing to enterprises seeking efficiency and collaboration enhancements. Their scalability, supported by robust infrastructure and cloud capabilities, meets the increasing demand for deploying models at scale. Automation features throughout the lifecycle accelerate time-to-market and ensure consistency, while built-in governance mechanisms ensure compliance and reliability, crucial for regulated industries.
“By type, graph-based models are registered to grow at the highest CAGR during the forecast period.”
The rapid growth of graph-based model management tools within the ModelOps market stems from their adeptness at handling the intricate nature of modern AI systems. These tools manage complex relationships between models, datasets, and configurations, which traditional databases struggle to accommodate. Their scalability and flexibility make them ideal for dynamic AI environments where rapid evolution and large-scale data handling are the norm. Integrating seamlessly with existing AI platforms enhances visibility and control over model lifecycles, ensuring compliance with regulatory standards and internal governance. They support robust decision-making and automation in deployment processes by providing a clear and auditable lineage of models and data usage. As AI applications expand into new fields like edge computing and personalized medicine, graph-based tools offer a unified solution to effectively manage diverse and distributed environments.
“By application, the continuous integration/continuous deployment segment is projected to hold the largest market size during the forecast period.”
Continuous Integration and Continuous Delivery (CI/CD) holds a dominant position within the ModelOps market due to several key factors that highlight its critical role in deploying and managing machine learning models. First and foremost, CI/CD pipelines are foundational in enabling automation throughout the model development lifecycle. In the context of ModelOps, which focuses on operationalizing machine learning models at scale, CI/CD pipelines facilitate the seamless integration of new model versions into production environments. This automation streamlines the process of testing, building, packaging, and deploying models, reducing the manual effort and potential for human error, thereby increasing efficiency and reliability. Further, the demand for CI/CD in ModelOps is driven by the need for agility and speed in deploying models into production. Machine learning models often undergo iterative improvements based on real-world data feedback and evolving business requirements. CI/CD pipelines allow teams to continuously integrate these updates into the operational environment, ensuring that the latest versions of models are always available without disrupting existing processes
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 ModelOps market.
- By Company: Tier I: 35%, Tier II: 45%, and Tier III: 20%
- By Designation: C-Level Executives: 35%, Directors: 25%, and Others: 40%
- By Region: North America – 30%, Europe – 30%, Asia Pacific – 25%, Middle East & Africa – 10%, and Latin America – 5%
Major vendors offering modelOps solution and services across the globe are IBM (US), Google (US), Oracle (US), SAS Institute (US), AWS (US), Teradata (US), Palantir (US), Veritone (US), Altair (US), c3.ai (US), TIBCO (US), Databricks (US), Giggso (US), Verta (US), ModelOp (US), Comet ML (US), Superwise (Israel), Evidently Al (US), Minitab (US), Seldon (UK), Innominds (US), Datatron (US), Domino Data Lab (US), Arthur (US), Weights & Biases (US), Xenonstack (US), Cnvrg.io (Israel), DataKitchen (US), Haisten AI (US), Sparkling Logic (US), LeewayHertz (US).
Research Coverage
The market study covers modelOps across segments. It aims to estimate the market size and the growth potential across different segments, such as offering, model type, application, vertical, and region. It includes an in-depth competitive analysis of the key players in the market, their company profiles, key observations related to product and business offerings, recent developments, and key market strategies.
Key Benefits of Buying the Report
The report would provide the market leaders/new entrants with information on the closest approximations of the revenue numbers for the overall market for modelOps and its subsegments. It would help stakeholders understand the competitive landscape and gain more insights to position their business and plan suitable go-to-market strategies. It also helps stakeholders understand the market’s pulse and provides information on key market drivers, restraints, challenges, and opportunities.
The report provides insights on the following pointers:
- Analysis of key drivers (Exponential rise of unstructured data, Rise in digitalization trend), restraints (Discrepancy among data sources impedes the advancement of modelOps, Data Security and Privacy Concerns), opportunities (Empowering modelOps through SDN-enabled network integration, Growing integration of advanced analytical functionalities), and challenges (Rise in need for training and upskilling to address the knowledge gap, Issues related to complexity and diversity of data collected)
- Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new solutions & service launches in the ModelOps Market.
- Market Development: Comprehensive information about lucrative markets – the report analyses the ModelOps Market across varied regions.
- Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in ModelOps Market strategies; the report also helps stakeholders understand the pulse of the ModelOps Market and provides them with information on key market drivers, restraints, challenges, and opportunities.
- Competitive Assessment: In-depth assessment of market shares, growth strategies, and service offerings of leading players such as IBM (US), Oracle (US), SAS Institute(US), Google (US), and AWS (US) among others, in the ModelOps Market.
Table of Contents
1 INTRODUCTION 28
1.1 STUDY OBJECTIVES 28
1.2 MARKET DEFINITION 28
1.2.1 INCLUSIONS AND EXCLUSIONS 28
1.3 MARKET SCOPE 30
1.3.1 MARKET SEGMENTATION 30
1.3.2 REGIONS COVERED 31
1.3.3 YEARS CONSIDERED 31
1.4 CURRENCY CONSIDERED 32
1.5 STAKEHOLDERS 32
1.6 RECESSION IMPACT 32
2 RESEARCH METHODOLOGY 33
2.1 RESEARCH DATA 33
2.1.1 SECONDARY DATA 34
2.1.2 PRIMARY DATA 34
2.1.2.1 Breakup of primary interviews 35
2.1.2.2 Key industry insights 35
2.2 DATA TRIANGULATION 36
2.3 MARKET SIZE ESTIMATION 37
2.3.1 TOP-DOWN APPROACH 37
2.3.2 BOTTOM-UP APPROACH 38
2.4 MARKET FORECAST 42
2.5 RESEARCH ASSUMPTIONS 42
2.6 RESEARCH LIMITATIONS 44
2.7 IMPLICATION OF RECESSION ON GLOBAL MODELOPS MARKET 44
3 EXECUTIVE SUMMARY 45
4 PREMIUM INSIGHTS 51
4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN MODELOPS MARKET 51
4.2 OVERVIEW OF RECESSION IN MODELOPS MARKET 51
4.3 MODELOPS MARKET, BY KEY APPLICATIONS, 2024–2029 52
4.4 MODELOPS MARKET, BY KEY MODEL TYPES AND APPLICATIONS, 2024 52
4.5 MODELOPS MARKET, BY REGION, 2024 53
5 MARKET OVERVIEW AND INDUSTRY TRENDS 54
5.1 INTRODUCTION 54
5.2 MARKET DYNAMICS 54
5.2.1 DRIVERS 55
5.2.1.1 Integration of ModelOps with DevOps and DataOps 55
5.2.1.2 Rising demand for Explainable AI (XAI) 56
5.2.1.3 Increasing need to address model drift with ModelOps solutions 56
5.2.1.4 Rising demand for automated monitoring and alerting capabilities 56
5.2.2 RESTRAINTS 57
5.2.2.1 Shortage of skilled professionals 57
5.2.2.2 Model interpretability and explainability 57
5.2.3 OPPORTUNITIES 58
5.2.3.1 Integration of automated Continuous Integration/Continuous Deployment (CI/CD) pipelines 58
5.2.3.2 Enhancements in model versioning and lifecycle management 58
5.2.4 CHALLENGES 59
5.2.4.1 Difficulty in managing intricate dependencies 59
5.2.4.2 Complexities of integrating with existing systems 59
5.2.4.3 Disconnect between insights and action 59
5.3 CASE STUDY ANALYSIS 60
5.3.1 CASE STUDY 1: SCRIBD ACCELERATES MODEL DELIVERY USING VERTA’S MACHINE LEARNING OPERATIONS PLATFORM 60
5.3.2 CASE STUDY 2: EXSCIENTIA SHORTENS MODEL MONITORING AND PREPARATION FROM DAYS TO HOURS 60
5.3.3 CASE STUDY 3: RBC CAPITAL MARKETS ENHANCES BOND TRADING EFFICIENCY USING AI AND MODELOPS CENTER 61
5.3.4 CASE STUDY 4: M-KOPA REVOLUTIONIZES MODEL MANAGEMENT PROCESS WITH ASSISTANCE OF W&B 61
5.3.5 CASE STUDY 5: CLEARSCAPE ANALYTICS EXPEDITES DEVELOPMENT OF CREDIT RISK PORTFOLIO MODELS FOR SICREDI 62
5.3.6 CASE STUDY 6: ENHANCING ML EXPERIMENT MANAGEMENT AT UBER WITH COMET 62
5.3.7 CASE STUDY 7: ACCELERATED AI INTEGRATION FOR ENHANCED EVENT RECOMMENDATIONS BY CNVRG.IO 63
5.4 EVOLUTION OF MODELOPS MARKET 64
5.5 ECOSYSTEM ANALYSIS 65
5.5.1 PLATFORM PROVIDERS 67
5.5.2 SERVICE PROVIDERS 67
5.5.3 END USERS 68
5.5.4 REGULATORY BODIES 68
5.6 TECHNOLOGY ANALYSIS 68
5.6.1 KEY TECHNOLOGIES 68
5.6.1.1 Artificial intelligence 68
5.6.1.2 Cloud computing 69
5.6.1.3 Knowledge graphs 69
5.6.1.4 No code 69
5.6.2 ADJACENT TECHNOLOGIES 69
5.6.2.1 Big data & analytics 69
5.6.2.2 Edge computing 70
5.7 SUPPLY CHAIN ANALYSIS 70
5.8 REGULATORY LANDSCAPE 71
5.8.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 72
5.8.2 REGULATIONS: MODELOPS 74
5.8.2.1 North America 74
5.8.2.1.1 US 74
5.8.2.1.2 Canada 75
5.8.2.2 Europe 75
5.8.2.3 Asia Pacific 75
5.8.2.3.1 Singapore 75
5.8.2.3.2 China 75
5.8.2.3.3 India 75
5.8.2.3.4 Japan 76
5.8.2.4 Middle East & Africa 76
5.8.2.4.1 UAE 76
5.8.2.4.2 KSA 76
5.8.2.4.3 South Africa 76
5.8.2.5 Latin America 76
5.8.2.5.1 Brazil 76
5.8.2.5.2 Mexico 77
5.9 PATENT ANALYSIS 77
5.9.1 METHODOLOGY 77
5.9.2 PATENTS FILED, BY DOCUMENT TYPE 77
5.9.3 INNOVATIONS AND PATENT APPLICATIONS 78
5.9.3.1 Patent applicants 78
5.10 KEY CONFERENCES AND EVENTS, 2024-2025 82
5.11 PORTER’S FIVE FORCES ANALYSIS 83
5.11.1 THREAT FROM NEW ENTRANTS 84
5.11.2 THREAT OF SUBSTITUTES 84
5.11.3 BARGAINING POWER OF SUPPLIERS 84
5.11.4 BARGAINING POWER OF BUYERS 84
5.11.5 INTENSITY OF COMPETITIVE RIVALRY 84
5.12 PRICING ANALYSIS 84
5.12.1 AVERAGE SELLING PRICE TREND OF KEY PLAYERS, BY APPLICATION 84
5.12.2 INDICATIVE PRICING ANALYSIS, BY OFFERING 86
5.13 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS 87
5.14 KEY STAKEHOLDERS AND BUYING CRITERIA 88
5.14.1 KEY STAKEHOLDERS IN BUYING PROCESS 88
5.14.2 BUYING CRITERIA 88
5.15 INVESTMENT AND FUNDING SCENARIO 89
5.16 MODELOPS VS. MLOPS 90
5.17 MODELOPS BEST PRACTICES 91
6 MODELOPS MARKET, BY OFFERING 92
6.1 INTRODUCTION 93
6.1.1 OFFERING: MODELOPS MARKET DRIVERS 93
6.2 PLATFORMS 95
6.2.1 OPTIMIZING MACHINE LEARNING MODEL LIFECYCLE MANAGEMENT WITH MODELOPS PLATFORMS 95
6.2.2 TYPE 96
6.2.2.1 Development & experimentation platforms 97
6.2.2.2 Monitoring & observability tools 98
6.2.2.3 Automated machine learning (AutoML) platforms 99
6.2.2.4 Performance tracking & management platforms 100
6.2.2.5 Model explainability & interpretability tools 101
6.2.2.6 Serving & deployment tools 102
6.2.2.7 Others 103
6.2.3 DEPLOYMENT MODE 104
6.2.3.1 Cloud 105
6.2.3.2 On-premises 106
6.3 SERVICES 107
6.3.1 ELEVATING DATA INSIGHTS WITH MODELOPS SERVICES 107
6.3.2 CONSULTING 109
6.3.3 DEPLOYMENT & INTEGRATION 110
6.3.4 SUPPORT & MAINTENANCE 111
7 MODELOPS MARKET, BY MODEL TYPE 112
7.1 INTRODUCTION 113
7.1.1 MODEL TYPE: MODELOPS MARKET DRIVERS 113
7.2 ML MODELS 114
7.2.1 SEGMENTING, FORECASTING, AND OPTIMIZING MODELOPS FOR COMPETITIVE ADVANTAGE 114
7.3 GRAPH-BASED MODELS 115
7.3.1 GRAPH-BASED MODELS ENHANCE PREDICTIONS AND DECISION-MAKING IN MODELOPS 115
7.4 RULE & HEURISTIC MODELS 116
7.4.1 OPTIMIZING MODELOPS WITH RULE-BASED, HEURISTIC, AND HYBRID MODELS 116
7.5 LINGUISTIC MODELS 117
7.5.1 OPTIMIZING LINGUISTIC MODELS FOR EFFICIENT NLP DEPLOYMENT AND GOVERNANCE 117
7.6 AGENT-BASED MODELS 118
7.6.1 ENHANCING STRATEGIC DECISION-MAKING THROUGH ADVANCED AGENT-BASED MODEL SIMULATION 118
7.7 BRING YOUR OWN MODELS 119
7.7.1 MAXIMIZING OPERATIONAL EFFICIENCY THROUGH SEAMLESS INTEGRATION OF DIVERSE AI MODELS 119
7.8 OTHER MODEL TYPES 120
8 MODELOPS MARKET, BY APPLICATION 122
8.1 INTRODUCTION 123
8.1.1 APPLICATION: MODELOPS MARKET DRIVERS 123
8.2 CONTINUOUS INTEGRATION/CONTINUOUS DEPLOYMENT 125
8.2.1 IMPLEMENTATION OF CI/CD FOR ACCELERATED DEPLOYMENT OF MACHINE LEARNING MODELS IN MODELOPS 125
8.3 MONITORING & ALERTING 126
8.3.1 ENHANCING MODELOPS WITH RELIABLE MONITORING & ALERTING SERVICES 126
8.4 DASHBOARD & REPORTING 127
8.4.1 DASHBOARD AND REPORTING ENHANCE OPERATIONAL PROCESSES SURROUNDING MACHINE LEARNING MODELS 127
8.5 MODEL LIFECYCLE MANAGEMENT 128
8.5.1 MAXIMIZING AI VALUE THROUGH EFFECTIVE MODEL LIFECYCLE MANAGEMENT 128
8.6 GOVERNANCE, RISK, & COMPLIANCE 129
8.6.1 IMPLEMENTATION OF ROBUST GOVERNANCE, RISK, AND COMPLIANCE (GRC) FRAMEWORK IN MODELOPS FOR EFFECTIVE AI MODEL MANAGEMENT 129
8.7 PARALLELIZATION & DISTRIBUTED COMPUTING 130
8.7.1 EMPOWERING AI/ML SCALABILITY WITH PARALLELIZATION AND DISTRIBUTED COMPUTING IN MODELOPS 130
8.8 BATCH SCORING 131
8.8.1 ENHANCING DATA-DRIVEN DECISION-MAKING WITH BATCH SCORING IN MODELOPS 131
8.9 OTHER APPLICATIONS 132
9 MODELOPS MARKET, BY VERTICAL 133
9.1 INTRODUCTION 134
9.1.1 VERTICAL: MODELOPS MARKET DRIVERS 134
9.2 BFSI 136
9.2.1 OPTIMIZING MODELOPS FOR BFSI SECTOR ADVANCEMENTS 136
9.3 TELECOMMUNICATIONS 138
9.3.1 IMPLEMENTING MODELOPS FOR ENHANCED TELECOMMUNICATION EFFICIENCY 138
9.4 RETAIL & ECOMMERCE 139
9.4.1 STREAMLINING AI AND ML DEPLOYMENT TO REVOLUTIONIZE RETAIL AND ECOMMERCE OPERATIONS FOR ENHANCED EFFICIENCY AND CUSTOMER EXPERIENCE 139
9.5 HEALTHCARE & LIFE SCIENCES 140
9.5.1 ENHANCING PATIENT OUTCOMES AND MEDICAL INNOVATION THROUGH MODELOPS IN HEALTHCARE AND LIFE SCIENCES 140
9.6 GOVERNMENT & DEFENSE 142
9.6.1 GOVERNMENTS USE MODELOPS TO APPLY REAL-TIME ANALYTICS IN MISSION-CRITICAL SCENARIOS 142
9.7 IT/ITES 143
9.7.1 IMPLEMENTING MODELOPS FOR EFFICIENT AI/ML LIFECYCLE MANAGEMENT IN IT/ITES 143
9.8 ENERGY & UTILITIES 144
9.8.1 IMPLEMENTING MODELOPS FOR ENERGY AND UTILITIES OPTIMIZATION 144
9.9 MANUFACTURING 146
9.9.1 DEPLOYING MODELOPS FOR ENHANCED MANUFACTURING EFFICIENCY 146
9.10 TRANSPORTATION & LOGISTICS 147
9.10.1 ENHANCING EFFICIENCY AND SAFETY THROUGH MODELOPS IN TRANSPORTATION AND LOGISTICS 147
9.11 OTHER VERTICALS 148
10 MODELOPS MARKET, BY REGION 150
10.1 INTRODUCTION 151
10.2 NORTH AMERICA 152
10.2.1 NORTH AMERICA: MODELOPS MARKET DRIVERS 153
10.2.2 NORTH AMERICA: RECESSION IMPACT 153
10.2.3 US 160
10.2.3.1 Widespread adoption of AI and ML technologies across industries to drive market 160
10.2.4 CANADA 163
10.2.4.1 Rising demand for AI and ML solutions in various sectors to drive market 163
10.3 EUROPE 165
10.3.1 EUROPE: MODELOPS MARKET DRIVERS 166
10.3.2 EUROPE: RECESSION IMPACT 166
10.3.3 UK 172
10.3.3.1 Increasing AI adoption across industries to drive market 172
10.3.4 GERMANY 175
10.3.4.1 Increasing adoption of AI and ML technologies to drive market 175
10.3.5 FRANCE 175
10.3.5.1 Rising focus on operationalizing AI and ML models to drive market 175
10.3.6 ITALY 176
10.3.6.1 Growing integration of AI and ML across diverse sectors to drive market 176
10.3.7 SPAIN 176
10.3.7.1 Increasing reliance on data-driven decision-making across industries to drive market 176
10.3.8 REST OF EUROPE 176
10.4 ASIA PACIFIC 177
10.4.1 ASIA PACIFIC: MODELOPS MARKET DRIVERS 177
10.4.2 ASIA PACIFIC: RECESSION IMPACT 177
10.4.3 CHINA 184
10.4.3.1 Rising focus on operationalizing AI models and enhancing business outcomes to drive market 184
10.4.4 JAPAN 187
10.4.4.1 Increasing adoption of AI and ML models in various industries to drive market 187
10.4.5 INDIA 187
10.4.5.1 Rising adoption of AI technologies across sectors to drive market 187
10.4.6 SOUTH KOREA 188
10.4.6.1 Increasing adoption of AI across sectors to drive market 188
10.4.7 AUSTRALIA & NEW ZEALAND 188
10.4.7.1 Growing emphasis on integrating AI solutions to enhance operational efficiency to drive market 188
10.4.8 REST OF ASIA PACIFIC 188
10.5 MIDDLE EAST & AFRICA 189
10.5.1 MIDDLE EAST & AFRICA: MODELOPS MARKET DRIVERS 189
10.5.2 MIDDLE EAST & AFRICA: RECESSION IMPACT 189
10.5.3 UAE 195
10.5.3.1 Government initiatives toward building knowledge-based economy to drive market 195
10.5.4 KSA 196
10.5.4.1 Growing emphasis on digital transformation and AI integration across sectors to drive market 196
10.5.5 QATAR 196
10.5.5.1 Rising adoption of AI and ML technologies across sectors to drive market 196
10.5.6 EGYPT 197
10.5.6.1 Increasing investments by companies to operationalize AI and ML models to drive market 197
10.5.7 SOUTH AFRICA 197
10.5.7.1 Growing adoption of AI and machine learning models in various sectors to drive market 197
10.5.8 REST OF MIDDLE EAST & AFRICA 198
10.6 LATIN AMERICA 198
10.6.1 LATIN AMERICA: MODELOPS MARKET DRIVERS 198
10.6.2 LATIN AMERICA: RECESSION IMPACT 199
10.6.3 BRAZIL 205
10.6.3.1 Technological advancements and regulatory compliance to drive market 205
10.6.4 MEXICO 205
10.6.4.1 Increasing digital transformation efforts across industries to drive market 205
10.6.5 ARGENTINA 206
10.6.5.1 Increasing adoption of machine learning and AI technologies in various sectors to drive market 206
10.6.6 REST OF LATIN AMERICA 206
11 COMPETITIVE LANDSCAPE 207
11.1 OVERVIEW 207
11.2 STRATEGIES ADOPTED BY KEY PLAYERS 207
11.3 REVENUE ANALYSIS 209
11.4 MARKET SHARE ANALYSIS 210
11.4.1 MARKET RANKING ANALYSIS 211
11.5 PRODUCT COMPARATIVE ANALYSIS 214
11.6 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2023 215
11.6.1 STARS 215
11.6.2 EMERGING LEADERS 215
11.6.3 PERVASIVE PLAYERS 215
11.6.4 PARTICIPANTS 215
11.6.5 COMPANY FOOTPRINT: KEY PLAYERS, 2023 217
11.6.5.1 Company footprint 217
11.6.5.2 Offering footprint 218
11.6.5.3 Application footprint 218
11.6.5.4 Regional footprint 219
11.6.5.5 Vertical footprint 219
11.7 COMPANY EVALUATION MATRIX: START-UPS/SMES, 2023 220
11.7.1 PROGRESSIVE COMPANIES 220
11.7.2 RESPONSIVE COMPANIES 220
11.7.3 DYNAMIC COMPANIES 220
11.7.4 STARTING BLOCKS 221
11.7.5 COMPETITIVE BENCHMARKING: START-UPS/SMES, 2023 222
11.8 COMPETITIVE SCENARIOS AND TRENDS 224
11.8.1 PRODUCT LAUNCHES & ENHANCEMENTS 224
11.8.2 DEALS 225
11.9 COMPANY VALUATION AND FINANCIAL METRICS OF KEY VENDORS 226
12 COMPANY PROFILES 228
12.1 INTRODUCTION 228
12.2 KEY PLAYERS 228\
(Business Overview, Products/Solutions/Services offered, Recent Developments, MnM View)*
12.2.1 IBM 228
12.2.2 GOOGLE 232
12.2.3 SAS INSTITUTE 236
12.2.4 AWS 239
12.2.5 ORACLE 242
12.2.6 TERADATA 246
12.2.7 VERITONE 249
12.2.8 ALTAIR 252
12.2.9 C3.AI 255
12.2.10 PALANTIR 258
12.2.11 TIBCO SOFTWARE 261
12.2.12 DOMINO DATA LAB 263
12.2.13 DATABRICKS 266
12.2.14 GIGGSO 267
12.2.15 MODELOP 268
12.3 OTHER PLAYERS 269
12.3.1 VERTA 269
12.3.2 COMET ML 270
12.3.3 SUPERWISE 271
12.3.4 EVIDENTLY AI 272
12.3.5 MINITAB 273
12.3.6 SELDON 274
12.3.7 INNOMINDS 275
12.3.8 DATATRON 276
12.3.9 ARTHUR AI 277
12.3.10 WEIGHTS & BIASES 278
12.3.11 XENONSTACK 279
12.3.12 CNVRG.IO 280
12.3.13 DATAKITCHEN 281
12.3.14 HAISTEN AI 282
12.3.15 SPARKLING LOGIC 283
12.3.16 LEEWAYHERTZ 284
*Details on Business Overview, Products/Solutions/Services offered, Recent Developments, MnM View might not be captured in case of unlisted companies.
13 ADJACENT AND RELATED MARKETS 285
13.1 INTRODUCTION 285
13.2 MLOPS 285
13.2.1 MARKET DEFINITION 285
13.2.2 MARKET OVERVIEW 285
13.2.2.1 MLOps market, by component 285
13.2.2.2 MLOps market, by deployment mode 286
13.2.2.3 MLOps market, by organization size 287
13.2.2.4 MLOps market, by vertical 287
13.2.2.5 MLOps market, by region 289
13.3 ARTIFICIAL INTELLIGENCE (AI) MARKET 290
13.3.1 MARKET DEFINITION 290
13.3.2 MARKET OVERVIEW 290
13.3.2.1 Artificial intelligence (AI) market, by offering 291
13.3.2.2 Artificial intelligence (AI) market, by hardware 292
13.3.2.3 Artificial intelligence (AI) market, by software 293
13.3.2.4 Artificial intelligence (AI) market, by services 294
13.3.2.5 Artificial intelligence (AI) market, by technology 295
13.3.2.6 Artificial intelligence (AI) market, by business function 296
13.3.2.7 Artificial intelligence (AI) market, by vertical 297
13.3.2.8 Artificial intelligence (AI) market, by region 299
14 APPENDIX 300
14.1 DISCUSSION GUIDE 300
14.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 306
14.3 CUSTOMIZATION OPTIONS 308
14.4 RELATED REPORTS 308
14.5 AUTHOR DETAILS 309
LIST OF TABLES
TABLE 1 USD EXCHANGE RATE, 2020–2023 32
TABLE 2 PRIMARY INTERVIEWS 34
TABLE 3 FACTOR ANALYSIS 42
TABLE 4 MODELOPS MARKET AND GROWTH RATE, 2019–2023 (USD MILLION, Y-O-Y%) 46
TABLE 5 MODELOPS MARKET AND GROWTH RATE, 2024–2029 (USD MILLION, Y-O-Y%) 46
TABLE 6 MODELOPS MARKET: ECOSYSTEM 65
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 72
TABLE 9 ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES,
AND OTHER ORGANIZATIONS 73
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 74
TABLE 12 PATENTS FILED, BY DOCUMENT TYPE, 2020–2024 77
TABLE 13 PATENT OWNERS IN MODELOPS MARKET, 2020–2024 79
TABLE 14 MODELOPS MARKET: LIST OF PATENTS GRANTED, 2023–2024 79
TABLE 15 MODELOPS MARKET: DETAILED LIST OF CONFERENCES AND EVENTS, 2024–2025 82
TABLE 16 MODELOPS MARKET: IMPACT OF PORTER’S FIVE FORCES 83
TABLE 17 AVERAGE SELLING PRICE OF KEY PLAYERS, BY APPLICATIONS 86
TABLE 18 INDICATIVE PRICING OF MODELOPS BY OFFERINGS 86
TABLE 19 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP 3 VERTICALS 88
TABLE 20 KEY BUYING CRITERIA FOR TOP 3 VERTICALS 89
TABLE 21 MODELOPS MARKET, BY OFFERING, 2019–2023 (USD MILLION) 94
TABLE 22 MODELOPS MARKET, BY OFFERING, 2024–2029 (USD MILLION) 94
TABLE 23 MODELOPS MARKET FOR PLATFORMS, BY REGION, 2019–2023 (USD MILLION) 95
TABLE 24 MODELOPS MARKET FOR PLATFORMS, BY REGION, 2024–2029 (USD MILLION) 95
TABLE 25 MODELOPS MARKET FOR PLATFORMS, BY TYPE, 2019–2023 (USD MILLION) 96
TABLE 26 MODELOPS MARKET FOR PLATFORMS, BY TYPE, 2024–2029 (USD MILLION) 97
TABLE 27 DEVELOPMENT & EXPERIMENTATION PLATFORMS, BY REGION,
2019–2023 (USD MILLION) 97
TABLE 28 DEVELOPMENT & EXPERIMENTATION PLATFORMS, BY REGION,
2024–2029 (USD MILLION) 98
TABLE 29 MONITORING & OBSERVABILITY TOOLS, BY REGION, 2019–2023 (USD MILLION) 98
TABLE 30 MONITORING & OBSERVABILITY TOOLS, BY REGION, 2024–2029 (USD MILLION) 99
TABLE 31 AUTOMATED MACHINE LEARNING (AUTOML) PLATFORMS, BY REGION,
2019–2023 (USD MILLION) 99
TABLE 32 AUTOMATED MACHINE LEARNING (AUTOML) PLATFORMS, BY REGION,
2024–2029 (USD MILLION) 100
TABLE 33 PERFORMANCE TRACKING & MANAGEMENT PLATFORMS, BY REGION,
2019–2023 (USD MILLION) 100
TABLE 34 PERFORMANCE TRACKING & MANAGEMENT PLATFORMS, BY REGION,
2024–2029 (USD MILLION) 101
TABLE 35 MODEL EXPLAINABILITY & INTERPRETABILITY TOOLS, BY REGION,
2019–2023 (USD MILLION) 101
TABLE 36 MODEL EXPLAINABILITY & INTERPRETABILITY TOOLS, BY REGION,
2024–2029 (USD MILLION) 102
TABLE 37 SERVING & DEPLOYMENT TOOLS, BY REGION, 2019–2023 (USD MILLION) 102
TABLE 38 SERVING & DEPLOYMENT TOOLS, BY REGION, 2024–2029 (USD MILLION) 103
TABLE 39 MODELOPS MARKET FOR PLATFORMS, BY DEPLOYMENT MODE,
2019–2023 (USD MILLION) 104
TABLE 40 MODELOPS MARKET FOR PLATFORMS, BY DEPLOYMENT MODE,
2024–2029 (USD MILLION) 104
TABLE 41 CLOUD: MODELOPS MARKET FOR PLATFORMS, BY REGION,
2019–2023 (USD MILLION) 105
TABLE 42 CLOUD: MODELOPS MARKET FOR PLATFORMS, BY REGION,
2024–2029 (USD MILLION) 105
TABLE 43 ON-PREMISES: MODELOPS MARKET FOR PLATFORMS, BY REGION,
2019–2023 (USD MILLION) 106
TABLE 44 ON-PREMISES: MODELOPS MARKET FOR PLATFORMS, BY REGION,
2024–2029 (USD MILLION) 106
TABLE 45 MODELOPS MARKET FOR SERVICES, BY TYPE, 2019–2023 (USD MILLION) 107
TABLE 46 MODELOPS MARKET FOR SERVICES, BY TYPE, 2024–2029 (USD MILLION) 108
TABLE 47 MODELOPS MARKET FOR SERVICES, BY REGION, 2019–2023 (USD MILLION) 108
TABLE 48 MODELOPS MARKET FOR SERVICES, BY REGION, 2024–2029 (USD MILLION) 108
TABLE 49 CONSULTING: MODELOPS MARKET FOR SERVICES, BY REGION,
2019–2023 (USD MILLION) 109
TABLE 50 CONSULTING: MODELOPS MARKET FOR SERVICES, BY REGION,
2024–2029 (USD MILLION) 109
TABLE 51 DEPLOYMENT & INTEGRATION: MODELOPS MARKET FOR SERVICES, BY REGION, 2019–2023 (USD MILLION) 110
TABLE 52 DEPLOYMENT & INTEGRATION: MODELOPS MARKET FOR SERVICES, BY REGION, 2024–2029 (USD MILLION) 110
TABLE 53 SUPPORT & MAINTENANCE: MODELOPS MARKET FOR SERVICES, BY REGION, 2019–2023 (USD MILLION) 111
TABLE 54 SUPPORT & MAINTENANCE: MODELOPS MARKET FOR SERVICES, BY REGION, 2024–2029 (USD MILLION) 111
TABLE 55 MODELOPS MARKET, BY MODEL TYPE, 2019–2023 (USD MILLION) 114
TABLE 56 MODELOPS MARKET, BY MODEL TYPE, 2024–2029 (USD MILLION) 114
TABLE 57 ML MODELS: MODELOPS MARKET, BY REGION, 2019–2023 (USD MILLION) 115
TABLE 58 ML MODELS: MODELOPS MARKET, BY REGION, 2024–2029 (USD MILLION) 115
TABLE 59 GRAPH-BASED MODELS: MODELOPS MARKET, BY REGION,
2019–2023 (USD MILLION) 116
TABLE 60 GRAPH-BASED MODELS: MODELOPS MARKET, BY REGION,
2024–2029 (USD MILLION) 116
TABLE 61 RULE & HEURISTIC MODELS: MODELOPS MARKET, BY REGION,
2019–2023 (USD MILLION) 117
TABLE 62 RULE & HEURISTIC MODELS: MODELOPS MARKET, BY REGION,
2024–2029 (USD MILLION) 117
TABLE 63 LINGUISTIC MODELS: MODELOPS MARKET, BY REGION,
2019–2023 (USD MILLION) 118
TABLE 64 LINGUISTIC MODELS: MODELOPS MARKET, BY REGION,
2024–2029 (USD MILLION) 118
TABLE 65 AGENT-BASED MODELS: MODELOPS MARKET, BY REGION,
2019–2023 (USD MILLION) 119
TABLE 66 AGENT-BASED MODELS: MODELOPS MARKET, BY REGION,
2024–2029 (USD MILLION) 119
TABLE 67 BRING YOUR OWN MODELS: MODELOPS MARKET, BY REGION,
2019–2023 (USD MILLION) 120
TABLE 68 BRING YOUR OWN MODELS: MODELOPS MARKET, BY REGION,
2024–2029 (USD MILLION) 120
TABLE 69 OTHER MODEL TYPES: MODELOPS MARKET, BY REGION,
2019–2023 (USD MILLION) 121
TABLE 70 OTHER MODEL TYPES: MODELOPS MARKET, BY REGION,
2024–2029 (USD MILLION) 121
TABLE 71 MODELOPS MARKET, BY APPLICATION, 2019–2023 (USD MILLION) 124
TABLE 72 MODELOPS MARKET, BY APPLICATION, 2024–2029 (USD MILLION) 124
TABLE 73 CONTINUOUS INTEGRATION/CONTINUOUS DEPLOYMENT: MODELOPS MARKET,
BY REGION, 2019–2023 (USD MILLION) 125
TABLE 74 CONTINUOUS INTEGRATION/CONTINUOUS DEPLOYMENT: MODELOPS MARKET,
BY REGION, 2024–2029 (USD MILLION) 125
TABLE 75 MONITORING & ALERTING: MODELOPS MARKET, BY REGION,
2019–2023 (USD MILLION) 126
TABLE 76 MONITORING & ALERTING: MODELOPS MARKET, BY REGION,
2024–2029 (USD MILLION) 126
TABLE 77 DASHBOARD & REPORTING: MODELOPS MARKET, BY REGION,
2019–2023 (USD MILLION) 127
TABLE 78 DASHBOARD & REPORTING: MODELOPS MARKET, BY REGION,
2024–2029 (USD MILLION) 127
TABLE 79 MODEL LIFECYCLE MANAGEMENT: MODELOPS MARKET, BY REGION,
2019–2023 (USD MILLION) 128
TABLE 80 MODEL LIFECYCLE MANAGEMENT: MODELOPS MARKET, BY REGION,
2024–2029 (USD MILLION) 128
TABLE 81 GOVERNANCE, RISK, & COMPLIANCE: MODELOPS MARKET, BY REGION,
2019–2023 (USD MILLION) 129
TABLE 82 GOVERNANCE, RISK, & COMPLIANCE: MODELOPS MARKET, BY REGION,
2024–2029 (USD MILLION) 129
TABLE 83 PARALLELIZATION & DISTRIBUTED COMPUTING: MODELOPS MARKET, BY REGION, 2019–2023 (USD MILLION) 130
TABLE 84 PARALLELIZATION & DISTRIBUTED COMPUTING: MODELOPS MARKET, BY REGION, 2024–2029 (USD MILLION) 130
TABLE 85 BATCH SCORING: MODELOPS MARKET, BY REGION, 2019–2023 (USD MILLION) 131
TABLE 86 BATCH SCORING: MODELOPS MARKET, BY REGION, 2024–2029 (USD MILLION) 131
TABLE 87 OTHER APPLICATIONS: MODELOPS MARKET, BY REGION,
2019–2023 (USD MILLION) 132
TABLE 88 OTHER APPLICATIONS: MODELOPS MARKET, BY REGION,
2024–2029 (USD MILLION) 132
TABLE 89 MODELOPS MARKET, BY VERTICAL, 2019–2023 (USD MILLION) 135
TABLE 90 MODELOPS MARKET, BY VERTICAL, 2024–2029 (USD MILLION) 136
TABLE 91 BANKING, FINANCIAL SERVICES, AND INSURANCE: USE CASES 137
TABLE 92 BFSI: MODELOPS MARKET, BY REGION, 2019–2023 (USD MILLION) 137
TABLE 93 BFSI: MODELOPS MARKET, BY REGION, 2024–2029 (USD MILLION) 137
TABLE 94 TELECOMMUNICATIONS: USE CASES 138
TABLE 95 TELECOMMUNICATIONS: MODELOPS MARKET, BY REGION,
2019–2023 (USD MILLION) 138
TABLE 96 TELECOMMUNICATIONS: MODELOPS MARKET, BY REGION,
2024–2029 (USD MILLION) 139
TABLE 97 RETAIL & ECOMMERCE: USE CASES 139
TABLE 98 RETAIL & ECOMMERCE: MODELOPS MARKET, BY REGION,
2019–2023 (USD MILLION) 140
TABLE 99 RETAIL & ECOMMERCE: MODELOPS MARKET, BY REGION,
2024–2029 (USD MILLION) 140
TABLE 100 HEALTHCARE & LIFE SCIENCES: USE CASES 141
TABLE 101 HEALTHCARE & LIFE SCIENCES: MODELOPS MARKET, BY REGION,
2019–2023 (USD MILLION) 141
TABLE 102 HEALTHCARE & LIFE SCIENCES: MODELOPS MARKET, BY REGION,
2024–2029 (USD MILLION) 141
TABLE 103 GOVERNMENT & DEFENSE: USE CASES 142
TABLE 104 GOVERNMENT & DEFENSE: MODELOPS MARKET, BY REGION,
2019–2023 (USD MILLION) 142
TABLE 105 GOVERNMENT & DEFENSE: MODELOPS MARKET, BY REGION,
2024–2029 (USD MILLION) 143
TABLE 106 IT/ITES: USE CASES 143
TABLE 107 IT/ITES: MODELOPS MARKET, BY REGION, 2019–2023 (USD MILLION) 144
TABLE 108 IT/ITES: MODELOPS MARKET, BY REGION, 2024–2029 (USD MILLION) 144
TABLE 109 ENERGY & UTILITIES: USE CASES 145
TABLE 110 ENERGY & UTILITIES: MODELOPS MARKET, BY REGION,
2019–2023 (USD MILLION) 145
TABLE 111 ENERGY & UTILITIES: MODELOPS MARKET, BY REGION,
2024–2029 (USD MILLION) 145
TABLE 112 MANUFACTURING: USE CASES 146
TABLE 113 MANUFACTURING: MODELOPS MARKET, BY REGION, 2019–2023 (USD MILLION) 146
TABLE 114 MANUFACTURING: MODELOPS MARKET, BY REGION, 2024–2029 (USD MILLION) 147
TABLE 115 TRANSPORTATION & LOGISTICS: USE CASES 147
TABLE 116 TRANSPORTATION & LOGISTICS: MODELOPS MARKET, BY REGION,
2019–2023 (USD MILLION) 148
TABLE 117 TRANSPORTATION & LOGISTICS: MODELOPS MARKET, BY REGION,
2024–2029 (USD MILLION) 148
TABLE 118 OTHER VERTICALS: USE CASES 149
TABLE 119 OTHER VERTICALS: MODELOPS MARKET, BY REGION, 2019–2023 (USD MILLION) 149
TABLE 120 OTHER VERTICALS: MODELOPS MARKET, BY REGION, 2024–2029 (USD MILLION) 149
TABLE 121 MODELOPS MARKET, BY REGION, 2019–2023 (USD MILLION) 152
TABLE 122 MODELOPS MARKET, BY REGION, 2024–2029 (USD MILLION) 152
TABLE 123 NORTH AMERICA: MODELOPS MARKET, BY OFFERING, 2019–2023 (USD MILLION) 154
TABLE 124 NORTH AMERICA: MODELOPS MARKET, BY OFFERING, 2024–2029 (USD MILLION) 155
TABLE 125 NORTH AMERICA: MODELOPS MARKET, BY TYPE, 2019–2023 (USD MILLION) 155
TABLE 126 NORTH AMERICA: MODELOPS MARKET, BY TYPE, 2024–2029 (USD MILLION) 155
TABLE 127 NORTH AMERICA: MODELOPS MARKET, BY SERVICE, 2019–2023 (USD MILLION) 156
TABLE 128 NORTH AMERICA: MODELOPS MARKET, BY SERVICE, 2024–2029 (USD MILLION) 156
TABLE 129 NORTH AMERICA: MODELOPS MARKET, BY DEPLOYMENT MODE,
2019–2023 (USD MILLION) 156
TABLE 130 NORTH AMERICA: MODELOPS MARKET, BY DEPLOYMENT MODE,
2024–2029 (USD MILLION) 156
TABLE 131 NORTH AMERICA: MODELOPS MARKET, BY MODEL TYPE,
2019–2023 (USD MILLION) 157
TABLE 132 NORTH AMERICA: MODELOPS MARKET, BY MODEL TYPE,
2024–2029 (USD MILLION) 157
TABLE 133 NORTH AMERICA: MODELOPS MARKET, BY APPLICATION,
2019–2023 (USD MILLION) 157
TABLE 134 NORTH AMERICA: MODELOPS MARKET, BY APPLICATION,
2024–2029 (USD MILLION) 158
TABLE 135 NORTH AMERICA: MODELOPS MARKET, BY VERTICAL, 2019–2023 (USD MILLION) 158
TABLE 136 NORTH AMERICA: MODELOPS MARKET, BY VERTICAL, 2024–2029 (USD MILLION) 159
TABLE 137 NORTH AMERICA: MODELOPS MARKET, BY COUNTRY, 2019–2023 (USD MILLION) 159
TABLE 138 NORTH AMERICA: MODELOPS MARKET, BY COUNTRY, 2024–2029 (USD MILLION) 159
TABLE 139 US: MODELOPS MARKET, BY OFFERING, 2019–2023 (USD MILLION) 160
TABLE 140 US: MODELOPS MARKET, BY OFFERING, 2024–2029 (USD MILLION) 160
TABLE 141 US: MODELOPS MARKET, BY TYPE, 2019–2023 (USD MILLION) 161
TABLE 142 US: MODELOPS MARKET, BY TYPE, 2024–2029 (USD MILLION) 161
TABLE 143 US: MODELOPS MARKET, BY SERVICE, 2019–2023 (USD MILLION) 161
TABLE 144 US: MODELOPS MARKET, BY SERVICE, 2024–2029 (USD MILLION) 162
TABLE 145 US: MODELOPS MARKET, BY DEPLOYMENT MODE, 2019–2023 (USD MILLION) 162
TABLE 146 US: MODELOPS MARKET, BY DEPLOYMENT MODE, 2024–2029 (USD MILLION) 162
TABLE 147 CANADA: MODELOPS MARKET, BY OFFERING, 2019–2023 (USD MILLION) 163
TABLE 148 CANADA: MODELOPS MARKET, BY OFFERING, 2024–2029 (USD MILLION) 163
TABLE 149 CANADA: MODELOPS MARKET, BY TYPE, 2019–2023 (USD MILLION) 164
TABLE 150 CANADA: MODELOPS MARKET, BY TYPE, 2024–2029 (USD MILLION) 164
TABLE 151 CANADA: MODELOPS MARKET, BY SERVICE, 2019–2023 (USD MILLION) 164
TABLE 152 CANADA: MODELOPS MARKET, BY SERVICE, 2024–2029 (USD MILLION) 165
TABLE 153 CANADA: MODELOPS MARKET, BY DEPLOYMENT MODE,
2019–2023 (USD MILLION) 165
TABLE 154 CANADA: MODELOPS MARKET, BY DEPLOYMENT MODE,
2024–2029 (USD MILLION) 165
TABLE 155 EUROPE: MODELOPS MARKET, BY OFFERING, 2019–2023 (USD MILLION) 166
TABLE 156 EUROPE: MODELOPS MARKET, BY OFFERING, 2024–2029 (USD MILLION) 167
TABLE 157 EUROPE: MODELOPS MARKET, BY TYPE, 2019–2023 (USD MILLION) 167
TABLE 158 EUROPE: MODELOPS MARKET, BY TYPE, 2024–2029 (USD MILLION) 167
TABLE 159 EUROPE: MODELOPS MARKET, BY SERVICE, 2019–2023 (USD MILLION) 168
TABLE 160 EUROPE: MODELOPS MARKET, BY SERVICE, 2024–2029 (USD MILLION) 168
TABLE 161 EUROPE: MODELOPS MARKET, BY DEPLOYMENT MODE,
2019–2023 (USD MILLION) 168
TABLE 162 EUROPE: MODELOPS MARKET, BY DEPLOYMENT MODE,
2024–2029 (USD MILLION) 168
TABLE 163 EUROPE: MODELOPS MARKET, BY MODEL TYPE, 2019–2023 (USD MILLION) 169
TABLE 164 EUROPE: MODELOPS MARKET, BY MODEL TYPE, 2024–2029 (USD MILLION) 169
TABLE 165 EUROPE: MODELOPS MARKET, BY APPLICATION, 2019–2023 (USD MILLION) 170
TABLE 166 EUROPE: MODELOPS MARKET, BY APPLICATION, 2024–2029 (USD MILLION) 170
TABLE 167 EUROPE: MODELOPS MARKET, BY VERTICAL, 2019–2023 (USD MILLION) 171
TABLE 168 EUROPE: MODELOPS MARKET, BY VERTICAL, 2024–2029 (USD MILLION) 171
TABLE 169 EUROPE: MODELOPS MARKET, BY COUNTRY, 2019–2023 (USD MILLION) 172
TABLE 170 EUROPE: MODELOPS MARKET, BY COUNTRY, 2024–2029 (USD MILLION) 172
TABLE 171 UK: MODELOPS MARKET, BY OFFERING, 2019–2023 (USD MILLION) 173
TABLE 172 UK: MODELOPS MARKET, BY OFFERING, 2024–2029 (USD MILLION) 173
TABLE 173 UK: MODELOPS MARKET, BY TYPE, 2019–2023 (USD MILLION) 173
TABLE 174 UK: MODELOPS MARKET, BY TYPE, 2024–2029 (USD MILLION) 174
TABLE 175 UK: MODELOPS MARKET, BY SERVICE, 2019–2023 (USD MILLION) 174
TABLE 176 UK: MODELOPS MARKET, BY SERVICE, 2024–2029 (USD MILLION) 174
TABLE 177 UK: MODELOPS MARKET, BY DEPLOYMENT MODE, 2019–2023 (USD MILLION) 174
TABLE 178 UK: MODELOPS MARKET, BY DEPLOYMENT MODE, 2024–2029 (USD MILLION) 175
TABLE 179 ASIA PACIFIC: MODELOPS MARKET, BY OFFERING, 2019–2023 (USD MILLION) 179
TABLE 180 ASIA PACIFIC: MODELOPS MARKET, BY OFFERING, 2024–2029 (USD MILLION) 179
TABLE 181 ASIA PACIFIC: MODELOPS MARKET, BY TYPE, 2019–2023 (USD MILLION) 179
TABLE 182 ASIA PACIFIC: MODELOPS MARKET, BY TYPE, 2024–2029 (USD MILLION) 180
TABLE 183 ASIA PACIFIC: MODELOPS MARKET, BY SERVICE, 2019–2023 (USD MILLION) 180
TABLE 184 ASIA PACIFIC: MODELOPS MARKET, BY SERVICE, 2024–2029 (USD MILLION) 180
TABLE 185 ASIA PACIFIC: MODELOPS MARKET, BY DEPLOYMENT MODE,
2019–2023 (USD MILLION) 180
TABLE 186 ASIA PACIFIC: MODELOPS MARKET, BY DEPLOYMENT MODE,
2024–2029 (USD MILLION) 181
TABLE 187 ASIA PACIFIC: MODELOPS MARKET, BY MODEL TYPE, 2019–2023 (USD MILLION) 181
TABLE 188 ASIA PACIFIC: MODELOPS MARKET, BY MODEL TYPE, 2024–2029 (USD MILLION) 181
TABLE 189 ASIA PACIFIC: MODELOPS MARKET, BY APPLICATION, 2019–2023 (USD MILLION) 182
TABLE 190 ASIA PACIFIC: MODELOPS MARKET, BY APPLICATION, 2024–2029 (USD MILLION) 182
TABLE 191 ASIA PACIFIC: MODELOPS MARKET, BY VERTICAL, 2019–2023 (USD MILLION) 183
TABLE 192 ASIA PACIFIC: MODELOPS MARKET, BY VERTICAL, 2024–2029 (USD MILLION) 183
TABLE 193 ASIA PACIFIC: MODELOPS MARKET, BY COUNTRY, 2019–2023 (USD MILLION) 184
TABLE 194 ASIA PACIFIC: MODELOPS MARKET, BY COUNTRY, 2024–2029 (USD MILLION) 184
TABLE 195 CHINA: MODELOPS MARKET, BY OFFERING, 2019–2023 (USD MILLION) 185
TABLE 196 CHINA: MODELOPS MARKET, BY OFFERING, 2024–2029 (USD MILLION) 185
TABLE 197 CHINA: MODELOPS MARKET, BY TYPE, 2019–2023 (USD MILLION) 185
TABLE 198 CHINA: MODELOPS MARKET, BY TYPE, 2024–2029 (USD MILLION) 186
TABLE 199 CHINA: MODELOPS MARKET, BY SERVICE, 2019–2023 (USD MILLION) 186
TABLE 200 CHINA: MODELOPS MARKET, BY SERVICE, 2024–2029 (USD MILLION) 186
TABLE 201 CHINA: MODELOPS MARKET, BY DEPLOYMENT MODE, 2019–2023 (USD MILLION) 186
TABLE 202 CHINA: MODELOPS MARKET, BY DEPLOYMENT MODE, 2024–2029 (USD MILLION) 187
TABLE 203 MIDDLE EAST & AFRICA: MODELOPS MARKET, BY OFFERING,
2019–2023 (USD MILLION) 190
TABLE 204 MIDDLE EAST & AFRICA: MODELOPS MARKET, BY OFFERING,
2024–2029 (USD MILLION) 190
TABLE 205 MIDDLE EAST & AFRICA: MODELOPS MARKET, BY TYPE,
2019–2023 (USD MILLION) 190
TABLE 206 MIDDLE EAST & AFRICA: MODELOPS MARKET, BY TYPE,
2024–2029 (USD MILLION) 191
TABLE 207 MIDDLE EAST & AFRICA: MODELOPS MARKET, BY SERVICE,
2019–2023 (USD MILLION) 191
TABLE 208 MIDDLE EAST & AFRICA: MODELOPS MARKET, BY SERVICE,
2024–2029 (USD MILLION) 191
TABLE 209 MIDDLE EAST & AFRICA: MODELOPS MARKET, BY DEPLOYMENT MODE,
2019–2023 (USD MILLION) 191
TABLE 210 MIDDLE EAST & AFRICA: MODELOPS MARKET, BY DEPLOYMENT MODE,
2024–2029 (USD MILLION) 192
TABLE 211 MIDDLE EAST & AFRICA: MODELOPS MARKET, BY MODEL TYPE,
2019–2023 (USD MILLION) 192
TABLE 212 MIDDLE EAST & AFRICA: MODELOPS MARKET, BY MODEL TYPE,
2024–2029 (USD MILLION) 192
TABLE 213 MIDDLE EAST & AFRICA: MODELOPS MARKET, BY APPLICATION,
2019–2023 (USD MILLION) 193
TABLE 214 MIDDLE EAST & AFRICA: MODELOPS MARKET, BY APPLICATION,
2024–2029 (USD MILLION) 193
TABLE 215 MIDDLE EAST & AFRICA: MODELOPS MARKET, BY VERTICAL,
2019–2023 (USD MILLION) 194
TABLE 216 MIDDLE EAST & AFRICA: MODELOPS MARKET, BY VERTICAL,
2024–2029 (USD MILLION) 194
TABLE 217 MIDDLE EAST & AFRICA: MODELOPS MARKET, BY COUNTRY,
2019–2023 (USD MILLION) 195
TABLE 218 MIDDLE EAST & AFRICA: MODELOPS MARKET, BY COUNTRY,
2024–2029 (USD MILLION) 195
TABLE 219 LATIN AMERICA: MODELOPS MARKET, BY OFFERING, 2019–2023 (USD MILLION) 199
TABLE 220 LATIN AMERICA: MODELOPS MARKET, BY OFFERING, 2024–2029 (USD MILLION) 199
TABLE 221 LATIN AMERICA: MODELOPS MARKET, BY TYPE, 2019–2023 (USD MILLION) 200
TABLE 222 LATIN AMERICA: MODELOPS MARKET, BY TYPE, 2024–2029 (USD MILLION) 200
TABLE 223 LATIN AMERICA: MODELOPS MARKET, BY SERVICE, 2019–2023 (USD MILLION) 200
TABLE 224 LATIN AMERICA: MODELOPS MARKET, BY SERVICE, 2024–2029 (USD MILLION) 201
TABLE 225 LATIN AMERICA: MODELOPS MARKET, BY DEPLOYMENT MODE,
2019–2023 (USD MILLION) 201
TABLE 226 LATIN AMERICA: MODELOPS MARKET, BY DEPLOYMENT MODE,
2024–2029 (USD MILLION) 201
TABLE 227 LATIN AMERICA: MODELOPS MARKET, BY MODEL TYPE,
2019–2023 (USD MILLION) 201
TABLE 228 LATIN AMERICA: MODELOPS MARKET, BY MODEL TYPE,
2024–2029 (USD MILLION) 202
TABLE 229 LATIN AMERICA: MODELOPS MARKET, BY APPLICATION,
2019–2023 (USD MILLION) 202
TABLE 230 LATIN AMERICA: MODELOPS MARKET, BY APPLICATION,
2024–2029 (USD MILLION) 203
TABLE 231 LATIN AMERICA: MODELOPS MARKET, BY VERTICAL, 2019–2023 (USD MILLION) 203
TABLE 232 LATIN AMERICA: MODELOPS MARKET, BY VERTICAL, 2024–2029 (USD MILLION) 204
TABLE 233 LATIN AMERICA: MODELOPS MARKET, BY COUNTRY, 2019–2023 (USD MILLION) 204
TABLE 234 LATIN AMERICA: MODELOPS MARKET, BY COUNTRY, 2024–2029 (USD MILLION) 204
TABLE 235 OVERVIEW OF STRATEGIES ADOPTED BY KEY MODELOPS VENDORS 207
TABLE 236 MODELOPS MARKET: DEGREE OF COMPETITION 211
TABLE 237 MODELOPS MARKET: OFFERING FOOTPRINT (12 COMPANIES) 218
TABLE 238 MODELOPS MARKET: APPLICATION FOOTPRINT (12 COMPANIES) 218
TABLE 239 MODELOPS MARKET: REGIONAL FOOTPRINT (12 COMPANIES) 219
TABLE 240 MODELOPS MARKET: VERTICAL FOOTPRINT (12 COMPANIES) 219
TABLE 241 MODELOPS MARKET: DETAILED LIST OF KEY START-UPS/SMES 222
TABLE 242 MODELOPS MARKET: COMPETITIVE BENCHMARKING OF KEY START-UPS/SMES 223
TABLE 243 MODELOPS MARKET: PRODUCT LAUNCHES & ENHANCEMENTS,
JANUARY 2022–MAY 2024 224
TABLE 244 MODELOPS MARKET: DEALS, JANUARY 2022–MAY 2024 225
TABLE 245 IBM: COMPANY OVERVIEW 228
TABLE 246 IBM: PRODUCTS/SOLUTIONS/SERVICES OFFERED 229
TABLE 247 IBM: PRODUCT LAUNCHES & ENHANCEMENTS 230
TABLE 248 IBM: DEALS 230
TABLE 249 GOOGLE: COMPANY OVERVIEW 232
TABLE 250 GOOGLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED 233
TABLE 251 GOOGLE: PRODUCT LAUNCHES & ENHANCEMENTS 234
TABLE 252 GOOGLE: DEALS 234
TABLE 253 SAS INSTITUTE: COMPANY OVERVIEW 236
TABLE 254 SAS INSTITUTE: PRODUCTS/SOLUTIONS/SERVICES OFFERED 236
TABLE 255 SAS INSTITUTE: PRODUCT LAUNCHES & ENHANCEMENTS 237
TABLE 256 SAS INSTITUTE: DEALS 237
TABLE 257 AWS: COMPANY OVERVIEW 239
TABLE 258 AWS: PRODUCTS/SOLUTIONS/SERVICES OFFERED 240
TABLE 259 AWS: PRODUCT LAUNCHES & ENHANCEMENTS 240
TABLE 260 AWS: DEALS 240
TABLE 261 ORACLE: COMPANY OVERVIEW 242
TABLE 262 ORACLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED 243
TABLE 263 ORACLE: PRODUCT LAUNCHES & ENHANCEMENTS 244
TABLE 264 ORACLE: DEALS 244
TABLE 265 TERADATA: COMPANY OVERVIEW 246
TABLE 266 TERADATA: PRODUCTS/SOLUTIONS/SERVICES OFFERED 247
TABLE 267 TERADATA: PRODUCT LAUNCHES & ENHANCEMENTS 248
TABLE 268 TERADATA: DEALS 248
TABLE 269 VERITONE: COMPANY OVERVIEW 249
TABLE 270 VERITONE: PRODUCTS/SOLUTIONS/SERVICES OFFERED 250
TABLE 271 VERITONE: PRODUCT LAUNCHES & ENHANCEMENTS 250
TABLE 272 VERITONE: DEALS 250
TABLE 273 ALTAIR: COMPANY OVERVIEW 252
TABLE 274 ALTAIR: PRODUCTS/SOLUTIONS/SERVICES OFFERED 253
TABLE 275 ALTAIR: PRODUCT LAUNCHES & ENHANCEMENTS 254
TABLE 276 ALTAIR: DEALS 254
TABLE 277 C3.AI: COMPANY OVERVIEW 255
TABLE 278 C3.AI: PRODUCTS/SOLUTIONS/SERVICES OFFERED 256
TABLE 279 C3.AI: DEALS 257
TABLE 280 PALANTIR: COMPANY OVERVIEW 258
TABLE 281 PALANTIR: PRODUCTS/SOLUTIONS/SERVICES OFFERED 259
TABLE 282 PALANTIR: PRODUCT LAUNCHES & ENHANCEMENTS 260
TABLE 283 PALANTIR: DEALS 260
TABLE 284 TIBCO SOFTWARE: COMPANY OVERVIEW 261
TABLE 285 TIBCO SOFTWARE: PRODUCTS/SOLUTIONS/SERVICES OFFERED 261
TABLE 286 TIBCO SOFTWARE: PRODUCT LAUNCHES & ENHANCEMENTS 262
TABLE 287 DOMINO DATA LAB: COMPANY OVERVIEW 263
TABLE 288 DOMINO DATA LAB: PRODUCTS/SOLUTIONS/SERVICES OFFERED 263
TABLE 289 DOMINO DATA LAB: PRODUCT LAUNCHES & ENHANCEMENTS 264
TABLE 290 DOMINO DATA LAB: DEALS 265
TABLE 291 MLOPS MARKET, BY COMPONENT, 2018–2021 (USD MILLION) 286
TABLE 292 MLOPS MARKET, BY COMPONENT, 2022–2027 (USD MILLION) 286
TABLE 293 MLOPS MARKET, BY DEPLOYMENT MODE, 2018–2021 (USD MILLION) 286
TABLE 294 MLOPS MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD MILLION) 286
TABLE 295 MLOPS MARKET, BY ORGANIZATION SIZE, 2018–2021 (USD MILLION) 287
TABLE 296 MLOPS MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD MILLION) 287
TABLE 297 MLOPS MARKET, BY VERTICAL, 2018–2021 (USD MILLION) 288
TABLE 298 MLOPS MARKET, BY VERTICAL, 2022–2027 (USD MILLION) 288
TABLE 299 MLOPS MARKET, BY REGION, 2018–2021 (USD MILLION) 289
TABLE 300 MLOPS MARKET, BY REGION, 2022–2027 (USD MILLION) 290
TABLE 301 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2019–2023 (USD BILLION) 292
TABLE 302 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2024–2030 (USD BILLION) 292
TABLE 303 ARTIFICIAL INTELLIGENCE MARKET, BY HARDWARE, 2019–2023 (USD BILLION) 293
TABLE 304 ARTIFICIAL INTELLIGENCE MARKET, BY HARDWARE, 2024–2030 (USD BILLION) 293
TABLE 305 SOFTWARE: ARTIFICIAL INTELLIGENCE MARKET, BY TYPE,
2019–2023 (USD BILLION) 294
TABLE 306 SOFTWARE: ARTIFICIAL INTELLIGENCE MARKET, BY TYPE,
2024–2030 (USD BILLION) 294
TABLE 307 ARTIFICIAL INTELLIGENCE MARKET, BY SERVICES, 2019–2023 (USD BILLION) 295
TABLE 308 ARTIFICIAL INTELLIGENCE MARKET, BY SERVICES, 2024–2030 (USD BILLION) 295
TABLE 309 ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2019–2023 (USD BILLION) 296
TABLE 310 ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2024–2030 (USD BILLION) 296
TABLE 311 ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION,
2019–2023 (USD BILLION) 297
TABLE 312 ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION,
2024–2030 (USD BILLION) 297
TABLE 313 ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2019–2023 (USD BILLION) 298
TABLE 314 ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2024–2030 (USD BILLION) 298
TABLE 315 ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2019–2023 (USD BILLION) 299
TABLE 316 ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2024–2030 (USD BILLION) 299
LIST OF FIGURES
FIGURE 1 MODELOPS MARKET: RESEARCH DESIGN 33
FIGURE 2 DATA TRIANGULATION 36
FIGURE 3 MODELOPS MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES 37
FIGURE 4 APPROACH 1 (SUPPLY-SIDE): REVENUE FROM VENDORS OF MODELOPS PLATFORMS/SERVICES 38
FIGURE 5 APPROACH 2 (BOTTOM-UP, SUPPLY-SIDE): COLLECTIVE REVENUE FROM ALL PLATFORMS/SERVICES OF MODELOPS 39
FIGURE 6 APPROACH 3 (BOTTOM-UP, SUPPLY-SIDE): MARKET ESTIMATION FROM ALL PLATFORMS/SERVICES AND CORRESPONDING SOURCES 40
FIGURE 7 APPROACH 4 (BOTTOM-UP, DEMAND-SIDE): SHARE OF MODELOPS MARKET THROUGH OVERALL SPENDING 40
FIGURE 8 PLATFORMS SEGMENT TO DOMINATE MARKET IN 2024 46
FIGURE 9 MONITORING & OBSERVABILITY TOOLS SEGMENT TO LEAD MARKET IN 2024 47
FIGURE 10 CLOUD SEGMENT TO ACCOUNT FOR LARGEST MARKET SHARE IN 2024 47
FIGURE 11 CONSULTING SEGMENT TO LEAD MARKET IN 2024 48
FIGURE 12 ML MODELS SEGMENT TO ACCOUNT FOR LARGEST MARKET SHARE IN 2024 48
FIGURE 13 CONTINUOUS INTEGRATION/CONTINUOUS DEPLOYMENT SEGMENT TO LEAD MARKET IN 2024 49
FIGURE 14 BFSI SEGMENT TO ACCOUNT FOR LARGEST MARKET SHARE IN 2024 49
FIGURE 15 NORTH AMERICA TO ACCOUNT FOR LARGEST MARKET SHARE IN 2024 50
FIGURE 16 GROWING ADOPTION OF ML & AI MODELS TO MAXIMIZE MODELOPS POTENTIAL
TO DRIVE MARKET 51
FIGURE 17 MODELOPS MARKET SIZE AND Y-O-Y GROWTH RATE 51
FIGURE 18 CONTINUOUS INTEGRATION/CONTINUOUS DEPLOYMENT SEGMENT TO ACCOUNT FOR LARGEST MARKET SHARE FROM 2024 TO 2029 52
FIGURE 19 ML MODELS AND CONTINUOUS INTEGRATION/CONTINUOUS DEPLOYMENT SEGMENTS TO ACCOUNT FOR LARGEST MARKET SHARE IN 2024 52
FIGURE 20 NORTH AMERICA TO DOMINATE MARKET IN 2024 53
FIGURE 21 MODELOPS MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES 55
FIGURE 22 EVOLUTION OF MODELOPS MARKET 64
FIGURE 23 KEY PLAYERS IN MODELOPS MARKET ECOSYSTEM 67
FIGURE 24 MODELOPS MARKET: SUPPLY CHAIN ANALYSIS 70
FIGURE 25 NUMBER OF PATENTS GRANTED TO VENDORS IN LAST 5 YEARS 78
FIGURE 26 PATENT APPLICANTS IN LAST 5 YEARS 78
FIGURE 27 REGIONAL ANALYSIS OF PATENTS GRANTED, 2020–2024 82
FIGURE 28 PORTER’S FIVE FORCES ANALYSIS 83
FIGURE 29 AVERAGE SELLING PRICE OF KEY PLAYERS, BY APPLICATIONS 85
FIGURE 30 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS 87
FIGURE 31 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP 3 VERTICALS 88
FIGURE 32 KEY BUYING CRITERIA FOR TOP 3 VERTICALS 88
FIGURE 33 MODELOPS MARKET: INVESTMENT AND FUNDING SCENARIO (USD MILLION AND NUMBER OF FUNDING ROUNDS) 89
FIGURE 34 PLATFORMS SEGMENT TO LEAD MARKET DURING FORECAST PERIOD 94
FIGURE 35 MONITORING & OBSERVABILITY TOOLS SEGMENT TO LEAD MARKET DURING FORECAST PERIOD 96
FIGURE 36 CLOUD SEGMENT TO LEAD MARKET DURING FORECAST PERIOD 104
FIGURE 37 CONSULTING SEGMENT TO LEAD MARKET DURING FORECAST PERIOD 107
FIGURE 38 GRAPH-BASED MODELS SEGMENT TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD 113
FIGURE 39 MONITORING & ALERTING SEGMENT TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD 123
FIGURE 40 BFSI SEGMENT TO DOMINATE MARKET FROM 2024 TO 2029 135
FIGURE 41 NORTH AMERICA TO LEAD MARKET DURING FORECAST PERIOD 151
FIGURE 42 INDIA TO WITNESS FASTEST GROWTH DURING FORECAST PERIOD 151
FIGURE 43 NORTH AMERICA: MODELOPS MARKET SNAPSHOT 154
FIGURE 44 ASIA PACIFIC: MODELOPS MARKET SNAPSHOT 178
FIGURE 45 TOP 5 PLAYERS DOMINATED MARKET IN LAST 5 YEARS 209
FIGURE 46 MARKET SHARE ANALYSIS FOR KEY PLAYERS, 2023 211
FIGURE 47 PRODUCT COMPARATIVE ANALYSIS 214
FIGURE 48 MODELOPS MARKET: COMPANY EVALUATION MATRIX (KEY PLAYERS), 2023 216
FIGURE 49 MODELOPS MARKET: COMPANY FOOTPRINT (12 COMPANIES) 217
FIGURE 50 MODELOPS MARKET: COMPANY EVALUATION MATRIX (START-UPS/SMES), 2023 221
FIGURE 51 COMPANY VALUATION AND FINANCIAL METRICS OF KEY VENDORS 226
FIGURE 52 YEAR-TO-DATE (YTD) PRICE TOTAL RETURN AND FIVE-YEAR STOCK BETA OF
KEY VENDORS 227
FIGURE 53 IBM: COMPANY SNAPSHOT 229
FIGURE 54 GOOGLE: COMPANY SNAPSHOT 233
FIGURE 55 AWS: COMPANY SNAPSHOT 239
FIGURE 56 ORACLE: COMPANY SNAPSHOT 243
FIGURE 57 TERADATA: COMPANY SNAPSHOT 247
FIGURE 58 VERITONE: COMPANY SNAPSHOT 249
FIGURE 59 ALTAIR: COMPANY SNAPSHOT 253
FIGURE 60 C3.AI: COMPANY SNAPSHOT 256
FIGURE 61 PALANTIR: COMPANY SNAPSHOT 259
