出版：MarketsandMarkets（マーケッツアンドマーケッツ） 出版年月：2022年12月
MLOps 市場 : コンポーネント (プラットフォームとサービス)、展開モード (クラウドとオンプレミス)、組織の規模 (大企業と中小企業)、垂直 (BFSI、ヘルスケアとライフ サイエンス、小売と e コマース、テレコム)、 地域別 – 2027年までの世界予測
MLOps Market by Component (Platform and Services), Deployment Mode (Cloud and On-premises), Organization Size (Large Enterprises and SMEs), Vertical (BFSI, Healthcare and Life Sciences, Retail and eCommerce, Telecom) and Region – Global Forecast to 2027
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| 種別 | 英文調査報告書 |
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The MLOps market size is projected to grow from USD 1.1 billion in 2022 to USD 5.9 billion by 2027, at a CAGR of 41.0% during the forecast period.
Various key players in the ecosystem have led to a competitive and diverse market. Standardizing ML processes for effective teamwork, monitorability, and scalability are expected to drive the adoption of the MLOps market in the future. However, organizations are unable to embrace MLOps models due to the lack of expertise of employees. Surveys have frequently demonstrated the inadequate knowledge and abilities of the employees in enterprises, according to numerous reports and research. Organizations should prioritise and make significant investments in training and certifications to address this issue, ensuring that the workforce has the necessary understanding of MLOps models and strategies and can put those tactics into practice for effective data management.
By vertical, banking, financial services, and insurance segment to account for larger market size during forecast period
BFSI segment holds the largest market size as today’s financial institutions use large data streams to create strong ML models that are subsequently deployed for specific objectives. Banking services would require to rapidly expand ML models owing to the growing volume and complexity of data to minimize operational costs associated with data management, and handle data concerns such as transparency and governance. Banks can use MLOps to automate the process of integrating AI/ML models into the applications. MLOps can help aid in the automation of program versioning and drift, as well as the duplicability of similar findings at scale. MLOps significantly reduces the cost of AI/Ml integrations inside self-managed systems through version control, traceability, continual code checks, and CI/CD pipelines.
By organization size, SMEs segment to grow at highest CAGR during forecast period
Small and medium-sized enterprises are organizations with an employee strength of less than 1,000. SMEs make for vast majority of enterprises globally and play a significant role in most economies. Today’ only fewer SMEs have adopted MLOps platforms relative to the large enterprises’ counterparts. However, the firms underlying SMEs adopting MLOps platforms are expected to rise as this would make things faster, smarter, and easier. These organizations are focused on deploying MLOps platforms to improve competitiveness and reduce operating costs. The MLOps platforms will enable SMEs to create web apps with dashboards and other visually appealing business graphics to showcase the discovered insights. This, in turn, would enable SMEs to adopt MLOps platform and services in the near future.
Asia Pacific to register highest growth rate during forecast period
The region is expected to show potential growth over the forecast period owing to factors such as government measures encouraging AI, increased ML usage, and the creation of numerous ML start-ups in the region. The APAC MLOps market has been classified into verticals, component, deployment, and organization size. MLOps platform and services enabled businesses to swiftly discover trends and make better judgements. Companies are expediting to produce and implement ML models because of its benefits, hence increasing market growth. Several large enterprises and SMEs are looking forward to the APAC region as an opportunity for their growth.
Breakdown of primaries
The study contains various industry experts’ insights, from solution vendors to Tier 1 companies. The break-up of the primaries is as follows:
• By Company Type: Tier 1 – 18%, Tier 2 – 9%, and Tier 3 – 73%
• By Designation: C-level – 9%, D-level – 18%, and Others – 73%
• By Region: North America – 55%, Europe – 9%, Asia Pacific – 36%
The major players covered in the MLOps report IBM (US), Microsoft (US), Google (US), AWS (US), HPE (US), GAVS Technologies (US), DataRobot (US), Cloudera (US), Alteryx (US), Domino Data Lab (US), Valohai (US), H2O.ai (US), MLflow (Netherlands), Neptune.ai (Europe), Comet (US), SparkCognition (US), Hopsworks (Europe), Datatron (US), Weights & Biases (US), Katonic.ai (Australia), Modzy (US), Iguazio (Israel), Teliolabs (US), ClearML (Israel), Akira.AI (India), and Blaize (US). These players have adopted various growth strategies, such as partnerships, agreements and collaborations, new product launches and product enhancements, and acquisitions to expand their footprint in the MLOps.
Research Coverage
The market study covers the MLOps market size across segments. It aims at estimating the market size and the growth potential across segments, including component, deployment mode, organization size, vertical, and region. The study includes an in-depth competitive analysis of the leading market players, their company profiles, key observations related to product and business offerings, recent developments, and market strategies.
Key Benefits of Buying the Report
The report will help the market leaders/new entrants with information on the closest approximations of the revenue numbers for the global MLOps market and its subsegments. This report will help stakeholders understand the competitive landscape and gain more insights to position their businesses better and plan suitable go-to-market strategies. Moreover, the report will provide insights for stakeholders to understand the pulse of the market and provide them with information on key market drivers, restraints, challenges, and opportunities.
目次
1 INTRODUCTION 22
1.1 STUDY OBJECTIVES 22
1.2 MARKET DEFINITION 22
1.2.1 INCLUSIONS AND EXCLUSIONS 22
1.3 MARKET SCOPE 23
1.3.1 MARKET SEGMENTATION 23
1.3.2 REGIONS COVERED 24
1.3.3 YEARS CONSIDERED 24
1.4 CURRENCY CONSIDERED 24
TABLE 1 UNITED STATES DOLLAR EXCHANGE RATE, 2019–2021 25
1.5 STAKEHOLDERS 25
2 RESEARCH METHODOLOGY 26
2.1 RESEARCH DATA 26
FIGURE 1 MLOPS: RESEARCH DESIGN 26
2.1.1 SECONDARY DATA 27
2.1.2 PRIMARY DATA 27
TABLE 2 PRIMARY INTERVIEWS 27
2.1.2.1 Breakup of primary profiles 28
2.1.2.2 Key industry insights 28
2.2 MARKET BREAKUP AND DATA TRIANGULATION 29
FIGURE 2 DATA TRIANGULATION 29
2.3 MARKET SIZE ESTIMATION 30
FIGURE 3 MLOPS: TOP-DOWN AND BOTTOM-UP APPROACHES 30
2.3.1 TOP-DOWN APPROACH 30
2.3.2 BOTTOM-UP APPROACH 31
FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY – APPROACH 1 (SUPPLY-SIDE): REVENUE FROM MLOPS SOLUTIONS/SERVICES 31
FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY – APPROACH 2, BOTTOM-UP (SUPPLY-SIDE): COLLECTIVE REVENUE FROM ALL MLOPS PLATFORMS/SERVICES 32
FIGURE 6 MARKET SIZE ESTIMATION METHODOLOGY – APPROACH 3, BOTTOM-UP (SUPPLY-SIDE): COLLECTIVE REVENUE FROM ALL MLOPS PLATFORMS/SERVICES 33
FIGURE 7 MARKET SIZE ESTIMATION METHODOLOGY – APPROACH 4, BOTTOM-UP (DEMAND-SIDE): SHARE OF MLOPS THROUGH OVERALL MLOPS SPENDING 33
2.4 MARKET FORECAST 34
TABLE 3 FACTOR ANALYSIS 34
2.5 COMPANY EVALUATION MATRIX METHODOLOGY 35
FIGURE 8 COMPANY EVALUATION MATRIX: CRITERIA WEIGHTAGE 35
2.6 STARTUP/SME EVALUATION MATRIX METHODOLOGY 36
FIGURE 9 STARTUP/SME EVALUATION MATRIX: CRITERIA WEIGHTAGE 36
2.7 ASSUMPTIONS 37
2.8 LIMITATIONS 39
3 EXECUTIVE SUMMARY 40
TABLE 4 GLOBAL MLOPS MARKET SIZE AND GROWTH RATE, 2018–2021 (USD MILLION, Y-O-Y%) 40
TABLE 5 GLOBAL MLOPS MARKET SIZE AND GROWTH RATE, 2022–2027 (USD MILLION, Y-O-Y%) 40
FIGURE 10 PLATFORMS SEGMENT TO LEAD MARKET IN 2022 41
FIGURE 11 CONSULTING SERVICES SEGMENT TO HOLD LARGEST MARKET SHARE IN 2022 41
FIGURE 12 CLOUD SEGMENT TO ACCOUNT FOR LARGER MARKET SIZE IN 2022 41
FIGURE 13 LARGE ENTERPRISES SEGMENT TO DOMINATE MARKET IN 2022 42
FIGURE 14 BANKING, FINANCIAL SERVICES& INSURANCE VERTICAL TO LEAD MARKET IN 2022 42
FIGURE 15 NORTH AMERICA TO HOLD LARGEST MARKET SHARE IN 2022 43
4 PREMIUM INSIGHTS 44
4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN MLOPS MARKET 44
FIGURE 16 HIGH DEMAND FOR DATA-DRIVEN INSIGHTS PLATFORM TO DRIVE MLOPS MARKET DURING FORECAST PERIOD 44
4.2 MLOPS MARKET, BY VERTICAL 44
FIGURE 17 BANKING, FINANCIAL SERVICES & INSURANCE VERTICAL TO LEAD MARKET DURING FORECAST PERIOD 44
4.3 MLOPS MARKET, BY REGION 45
FIGURE 18 NORTH AMERICA TO ACCOUNT FOR LARGEST MARKET SHARE BY 2026 45
4.4 NORTH AMERICA: MLOPS MARKET, BY COMPONENT AND COUNTRY 45
FIGURE 19 PLATFORMS SEGMENT AND US TO DOMINATE NORTH AMERICAN MARKET IN 2022 45
5 MARKET OVERVIEW AND INDUSTRY TRENDS 46
5.1 INTRODUCTION 46
5.2 MARKET DYNAMICS 46
FIGURE 20 DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES: MLOPS MARKET 46
5.2.1 DRIVERS 47
5.2.1.1 Standardization of ML processes for effective teamwork 47
5.2.1.2 Improved efficiency due to increased monitorability 47
5.2.1.3 Increased productivity and quicker AI implementation 47
5.2.2 RESTRAINTS 47
5.2.2.1 Lack of expertise among personnel 47
5.2.3 OPPORTUNITIES 48
5.2.3.1 Expanded use of machine learning in financial sector 48
5.2.4 CHALLENGES 48
5.2.4.1 Difficulty in managing various pipelines 48
5.2.4.2 Risk of raw data manipulation 48
5.3 MLOPS MARKET: KEY PHASES 48
FIGURE 21 MLOPS MARKET: KEY PHASES 49
5.4 MLOPS MARKET: ARCHITECTURE 50
FIGURE 22 MLOPS MARKET: ARCHITECTURE 50
5.5 MLOPS MARKET: VALUE CHAIN ANALYSIS 50
FIGURE 23 MLOPS MARKET: VALUE CHAIN 50
5.6 ECOSYSTEM 51
FIGURE 24 MLOPS MARKET: ECOSYSTEM 51
TABLE 6 MLOPS MARKET: ECOSYSTEM 52
5.7 MLOPS CAPABILITIES 53
5.7.1 EXPLORATORY DATA ANALYSIS 53
5.7.2 DATA PREP AND FEATURE ENGINEERING 53
5.7.3 MODEL TRAINING AND TUNING 53
5.7.4 MODEL REVIEW AND GOVERNANCE 53
5.7.5 MODEL INFERENCE AND SERVING 53
5.7.6 MODEL MONITORING 54
5.7.7 AUTOMATED MODEL RETRAINING 54
5.8 PRICING MODELS OF MLOPS MARKET PLAYERS 54
TABLE 7 PRICING MODELS AND INDICATIVE PRICE POINTS, 2021–2022 54
5.9 TECHNOLOGY ANALYSIS 54
5.9.1 INTRODUCTION 54
5.9.2 ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING 55
5.10 CASE STUDY ANALYSIS 55
5.10.1 EXTERNAL SOLUTION SIMPLIFIES MACHINE LEARNING INFRASTRUCTURE AUTOMATION 55
5.10.2 COMPOSITE+ INCREASES ACCURACY OF BOND PRICE PREDICTION 56
5.10.3 CLEARML SOLUTION ENABLES EFFICIENT AGRICULTURAL IMAGERY ANALYSIS 56
5.10.4 CONTINUUM INDUSTRIES COLLABORATES WITH NEPTUNE.AI TO INTEGRATE MLOPS SOLUTION IN CORE PRODUCT 57
5.10.5 JANSSEN PHARMACEUTICALS ACHIEVES FASTER DEEP LEARNING MODEL DEVELOPMENT WITH DOMINO DATA LAB’S MLOPS SOLUTION 58
5.11 PATENT ANALYSIS 58
5.11.1 METHODOLOGY 58
5.11.2 PATENT DOCUMENT TYPES 58
TABLE 8 PATENTS FILED, 2019–2022 58
5.11.3 INNOVATION AND PATENT APPLICATIONS 59
FIGURE 25 TOTAL NUMBER OF PATENTS GRANTED PER YEAR, 2019–2022 59
5.11.3.1 Top applicants 59
FIGURE 26 TOP TEN COMPANIES WITH HIGHEST NUMBER OF PATENT APPLICATIONS, 2019–2022 59
TABLE 9 US: TOP TEN PATENT OWNERS IN MLOPS MARKET, 2019–2022 60
TABLE 10 PATENTS IN MLOPS MARKET, 2020–2022 60
5.12 PORTER’S FIVE FORCES ANALYSIS 61
TABLE 11 MLOPS MARKET: PORTER’S FIVE FORCES MODEL 61
5.12.1 THREAT OF NEW ENTRANTS 61
5.12.2 THREAT OF SUBSTITUTES 62
5.12.3 BARGAINING POWER OF SUPPLIERS 62
5.12.4 BARGAINING POWER OF BUYERS 62
5.12.5 INTENSITY OF COMPETITIVE RIVALRY 62
5.13 KEY STAKEHOLDERS AND BUYING CRITERIA 63
5.13.1 KEY STAKEHOLDERS IN BUYING PROCESS 63
FIGURE 27 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE END USERS 63
TABLE 12 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE END USERS (%) 63
5.13.2 BUYING CRITERIA 64
FIGURE 28 KEY BUYING CRITERIA FOR TOP THREE END USERS 64
TABLE 13 KEY BUYING CRITERIA FOR TOP THREE VERTICALS 64
5.14 REGULATORY LANDSCAPE 65
5.14.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 65
TABLE 14 NORTH AMERICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 65
TABLE 15 EUROPE: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 66
TABLE 16 ASIA PACIFIC: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 66
TABLE 17 MIDDLE EAST & AFRICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 67
TABLE 18 LATIN AMERICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 67
5.14.1.1 North America 67
5.14.1.1.1 US 67
5.14.1.1.2 Canada 68
5.14.1.2 Europe 68
5.14.1.2.1 General Data Protection Regulation 68
5.14.1.2.2 European Committee for Standardization (CEN) 68
5.14.1.2.3 European Technical Standards Institute (ETSI) 68
5.14.1.3 Asia Pacific 69
5.14.1.3.1 China 69
5.14.1.3.2 India 69
5.14.1.3.3 Australia 69
5.14.1.3.4 Japan 69
5.14.1.4 Middle East & Africa 69
5.14.1.4.1 Middle East 69
5.14.1.4.2 South Africa 71
5.14.1.5 Latin America 71
5.14.1.5.1 Brazil 72
5.14.1.5.2 Mexico 72
5.15 KEY CONFERENCES & EVENTS, 2022–2023 72
TABLE 19 MLOPS MARKET: CONFERENCES & EVENTS 72
6 MLOPS MARKET, BY COMPONENT 74
6.1 INTRODUCTION 75
6.1.1 COMPONENT: MARKET DRIVERS 75
FIGURE 29 PLATFORMS SEGMENT TO ACCOUNT FOR LARGER MARKET SIZE DURING FORECAST PERIOD 75
TABLE 20 MLOPS MARKET, BY COMPONENT, 2018–2021 (USD MILLION) 76
TABLE 21 MLOPS MARKET, BY COMPONENT, 2022–2027 (USD MILLION) 76
6.2 PLATFORMS 76
6.2.1 OFFER FLEXIBILITY TO DATA MANAGEMENT TEAMS 76
TABLE 22 PLATFORMS: MLOPS MARKET, BY REGION, 2018–2021 (USD MILLION) 76
TABLE 23 PLATFORMS: MLOPS MARKET, BY REGION, 2022–2027 (USD MILLION) 77
6.3 SERVICES 77
6.3.1 PROVIDE READY-TO-DEPLOY SOLUTIONS FOR MANAGING DATA AND TRAINING ML MODELS 77
TABLE 24 SERVICES: MLOPS MARKET, BY REGION, 2018–2021 (USD MILLION) 77
TABLE 25 SERVICES: MLOPS MARKET, BY REGION, 2022–2027 (USD MILLION) 78
6.3.2 CONSULTING 78
TABLE 26 CONSULTING: MLOPS MARKET, BY REGION, 2018–2021 (USD MILLION) 78
TABLE 27 CONSULTING SERVICES: MLOPS MARKET, BY REGION, 2022–2027 (USD MILLION) 79
6.3.3 DEPLOYMENT & INTEGRATION 79
TABLE 28 DEPLOYMENT & INTEGRATION: MLOPS MARKET, BY REGION, 2018–2021 (USD MILLION) 79
TABLE 29 DEPLOYMENT & INTEGRATION: MLOPS MARKET, BY REGION, 2022–2027 (USD MILLION) 80
6.3.4 SUPPORT & MAINTENANCE 80
TABLE 30 SUPPORT & MAINTENANCE: MLOPS MARKET, BY REGION, 2018–2021 (USD MILLION) 80
TABLE 31 SUPPORT & MAINTENANCE: MLOPS MARKET, BY REGION, 2022–2027 (USD MILLION) 81
7 MLOPS MARKET, BY DEPLOYMENT MODE 82
7.1 INTRODUCTION 83
7.1.1 DEPLOYMENT MODE: MLOPS MARKET DRIVERS 83
FIGURE 30 ON-PREMISES SEGMENT TO RECORD HIGHER CAGR DURING FORECAST PERIOD 83
TABLE 32 MLOPS MARKET, BY DEPLOYMENT MODE, 2018–2021 (USD MILLION) 84
TABLE 33 MLOPS MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD MILLION) 84
7.2 ON-PREMISES 84
7.2.1 OFFERS ENHANCED SECURITY AT LOWER COST 84
TABLE 34 ON-PREMISES: MLOPS MARKET, BY REGION, 2018–2021 (USD MILLION) 84
TABLE 35 ON-PREMISES: MLOPS MARKET, BY REGION, 2022–2027 (USD MILLION) 85
7.3 CLOUD 85
7.3.1 REDUCES OPERATIONAL COSTS AND PROVIDES SCALABILITY 85
TABLE 36 CLOUD: MLOPS MARKET, BY REGION, 2018–2021 (USD MILLION) 85
TABLE 37 CLOUD: MLOPS MARKET, BY REGION, 2022–2027 (USD MILLION) 86
8 MLOPS MARKET, BY ORGANIZATION SIZE 87
8.1 INTRODUCTION 88
8.1.1 ORGANIZATION SIZE: MLOPS MARKET DRIVERS 88
FIGURE 31 SMALL AND MEDIUM-SIZED ENTERPRISES SEGMENT TO RECORD HIGHER CAGR DURING FORECAST PERIOD 88
TABLE 38 MLOPS MARKET, BY ORGANIZATION SIZE, 2018–2021 (USD MILLION) 89
TABLE 39 MLOPS MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD MILLION) 89
8.2 SMALL AND MEDIUM-SIZED ENTERPRISES 89
8.2.1 HIGHER ADOPTION OF MLOPS TECHNOLOGY EXPECTED 89
TABLE 40 SMALL AND MEDIUM-SIZED ENTERPRISES: MLOPS MARKET, BY REGION, 2018–2021 (USD MILLION) 89
TABLE 41 SMALL AND MEDIUM-SIZED ENTERPRISES: MLOPS MARKET, BY REGION, 2022–2027 (USD MILLION) 90
8.3 LARGE ENTERPRISES 90
8.3.1 GROWING USE OF MLOPS PLATFORMS TO FACILITATE DATA MANAGEMENT 90
TABLE 42 LARGE ENTERPRISES: MLOPS MARKET, BY REGION, 2018–2021 (USD MILLION) 90
TABLE 43 LARGE ENTERPRISES: MLOPS MARKET, BY REGION, 2022–2027 (USD MILLION) 91
9 MLOPS MARKET, BY VERTICAL 92
9.1 INTRODUCTION 93
9.1.1 VERTICAL: MLOPS DRIVERS 93
FIGURE 32 BFSI SEGMENT TO ACCOUNT FOR LARGEST MARKET SIZE BY 2027 93
TABLE 44 MLOPS MARKET, BY VERTICAL, 2018–2021 (USD MILLION) 94
TABLE 45 MLOPS MARKET, BY VERTICAL, 2022–2027 (USD MILLION) 94
9.2 BANKING, FINANCIAL SERVICES, AND INSURANCE 95
9.2.1 MLOPS FACILITATES REAL-TIME FRAUD DETECTION 95
TABLE 46 BANKING, FINANCIAL SERVICES, AND INSURANCE: MLOPS MARKET, BY REGION, 2018–2021 (USD MILLION) 95
TABLE 47 BANKING, FINANCIAL SERVICES, AND INSURANCE: MLOPS MARKET, BY REGION, 2022–2027 (USD MILLION) 96
9.3 TELECOM 96
9.3.1 GROWING ADOPTION OF MLOPS TO ENHANCE CUSTOMER ENGAGEMENT 96
TABLE 48 TELECOM: MLOPS MARKET, BY REGION, 2018–2021 (USD MILLION) 96
TABLE 49 TELECOM: MLOPS MARKET, BY REGION, 2022–2027 (USD MILLION) 97
9.4 HEALTHCARE & LIFE SCIENCES 97
9.4.1 IMPROVED DIAGNOSTIC ACCURACY AND RISK ASSESSMENT 97
TABLE 50 HEALTHCARE & LIFE SCIENCES: MLOPS MARKET, BY REGION, 2018–2021 (USD MILLION) 97
TABLE 51 HEALTHCARE & LIFE SCIENCES: MLOPS MARKET, BY REGION, 2022–2027 (USD MILLION) 98
9.5 RETAIL & ECOMMERCE 98
9.5.1 USE OF MLOPS HELPS TAILOR PERSONALIZED EXPERIENCE FOR CONSUMERS 98
TABLE 52 RETAIL & ECOMMERCE: MLOPS MARKET, BY REGION, 2018–2021 (USD MILLION) 98
TABLE 53 RETAIL & ECOMMERCE: MLOPS MARKET, BY REGION, 2022–2027 (USD MILLION) 99
9.6 IT & ITES 99
9.6.1 INCREASED PREFERENCE FOR MLOPS TO MANAGE BIG DATA 99
TABLE 54 IT & ITES: MLOPS MARKET, BY REGION, 2018–2021 (USD MILLION) 99
TABLE 55 IT & ITES: MLOPS MARKET, BY REGION, 2022–2027 (USD MILLION) 100
9.7 GOVERNMENT & DEFENSE 100
9.7.1 USE OF MLOPS TO SOLVE COMPLEX PROBLEMS 100
TABLE 56 GOVERNMENT & DEFENSE: MLOPS MARKET, BY REGION, 2018–2021 (USD MILLION) 100
TABLE 57 GOVERNMENT & DEFENSE: MLOPS MARKET, BY REGION, 2022–2027 (USD MILLION) 101
9.8 MANUFACTURING 101
9.8.1 GROWING ADOPTION OF MLOPS TO OPTIMIZE PLANT PRODUCTION 101
TABLE 58 MANUFACTURING: MLOPS MARKET, BY REGION, 2018–2021 (USD MILLION) 101
TABLE 59 MANUFACTURING: MLOPS MARKET, BY REGION, 2022–2027 (USD MILLION) 102
9.9 ENERGY & UTILITIES 102
9.9.1 NEED FOR MLOPS SOLUTIONS TO ENHANCE EFFICIENCY AND REDUCE WASTE 102
TABLE 60 ENERGY & UTILITIES: MLOPS MARKET, BY REGION, 2018–2021 (USD MILLION) 102
TABLE 61 ENERGY & UTILITIES: MLOPS MARKET, BY REGION, 2022–2027 (USD MILLION) 103
9.10 TRANSPORTATION & LOGISTICS 103
9.10.1 RISING ADOPTION OF MLOPS TO IMPROVE WAREHOUSE MANAGEMENT AND SUPPLY CHAIN EFFICIENCY 103
TABLE 62 TRANSPORTATION & LOGISTICS: MLOPS MARKET, BY REGION, 2018–2021 (USD MILLION) 103
TABLE 63 TRANSPORTATION & LOGISTICS: MLOPS MARKET, BY REGION, 2022–2027 (USD MILLION) 104
9.11 OTHERS (MEDIA & ENTERTAINMENT, TRAVEL & HOSPITALITY, AND EDUCATION & RESEARCH) 104
9.11.1 INCREASING DEMAND FOR MLOPS TO IMPROVE CUSTOMER EXPERIENCE 104
TABLE 64 OTHERS: MLOPS MARKET, BY REGION, 2018–2021 (USD MILLION) 105
TABLE 65 OTHERS: MLOPS MARKET, BY REGION, 2022–2027 (USD MILLION) 105
10 MLOPS MARKET, BY REGION 106
10.1 INTRODUCTION 107
FIGURE 33 THAILAND TO ACCOUNT FOR HIGHEST CAGR DURING FORECAST PERIOD 107
FIGURE 34 ASIA PACIFIC TO RECORD HIGHEST CAGR DURING FORECAST PERIOD 108
TABLE 66 MLOPS MARKET, BY REGION, 2018–2021 (USD MILLION) 108
TABLE 67 MLOPS MARKET, BY REGION, 2022–2027 (USD MILLION) 108
10.2 NORTH AMERICA 109
10.2.1 NORTH AMERICA: MLOPS MARKET DRIVERS 109
10.2.2 NORTH AMERICA: REGULATIONS 109
10.2.2.1 Personal Information Protection and Electronic Documents Act (PIPEDA) 109
10.2.2.2 Gramm–Leach–Bliley Act 110
10.2.2.3 Federal Information Security Management Act 110
10.2.2.4 Health Insurance Portability and Accountability Act of 1996 110
10.2.2.5 Occupational Safety and Health Administration (OSHA) 110
10.2.2.6 California Consumer Privacy Act 110
FIGURE 35 NORTH AMERICA: MARKET SNAPSHOT 111
TABLE 68 NORTH AMERICA: MLOPS MARKET, BY COMPONENT, 2018–2021 (USD MILLION) 111
TABLE 69 NORTH AMERICA: MLOPS MARKET, BY COMPONENT, 2022–2027 (USD MILLION) 111
TABLE 70 NORTH AMERICA: MLOPS MARKET, BY SERVICE, 2018–2021 (USD MILLION) 112
TABLE 71 NORTH AMERICA: MLOPS MARKET, BY SERVICE, 2022–2027 (USD MILLION) 112
TABLE 72 NORTH AMERICA: MLOPS MARKET, BY DEPLOYMENT MODE, 2018–2021 (USD MILLION) 112
TABLE 73 NORTH AMERICA: MLOPS MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD MILLION) 112
TABLE 74 NORTH AMERICA: MLOPS MARKET, BY ORGANIZATION SIZE, 2018–2021 (USD MILLION) 113
TABLE 75 NORTH AMERICA: MLOPS MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD MILLION) 113
TABLE 76 NORTH AMERICA: MLOPS MARKET, BY VERTICAL, 2018–2021 (USD MILLION) 113
TABLE 77 NORTH AMERICA: MLOPS MARKET, BY VERTICAL, 2022–2027 (USD MILLION) 114
TABLE 78 NORTH AMERICA: MLOPS MARKET, BY COUNTRY, 2018–2021 (USD MILLION) 114
TABLE 79 NORTH AMERICA: MLOPS MARKET, BY COUNTRY, 2022–2027 (USD MILLION) 114
10.2.3 US 115
10.2.3.1 Rising demand for automation to streamline business operations to drive MLOps adoption 115
10.2.4 CANADA 115
10.2.4.1 Increasing R&D in advanced technologies to boost market 115
10.3 EUROPE 116
10.3.1 EUROPE: MLOPS MARKET DRIVERS 116
10.3.2 EUROPE: REGULATIONS 116
10.3.2.1 European Market Infrastructure Regulation 116
10.3.2.2 General Data Protection Regulation 117
10.3.2.3 European Committee for Standardization 117
10.3.2.4 European Technical Standards Institute 117
TABLE 80 EUROPE: MLOPS MARKET, BY COMPONENT, 2018–2021 (USD MILLION) 117
TABLE 81 EUROPE: MLOPS MARKET, BY COMPONENT, 2022–2027 (USD MILLION) 118
TABLE 82 EUROPE: MLOPS MARKET, BY SERVICE, 2018–2021 (USD MILLION) 118
TABLE 83 EUROPE: MLOPS MARKET, BY SERVICE, 2022–2027 (USD MILLION) 118
TABLE 84 EUROPE: MLOPS MARKET, BY DEPLOYMENT MODE, 2018–2021 (USD MILLION) 118
TABLE 85 EUROPE: MLOPS MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD MILLION) 119
TABLE 86 EUROPE: MLOPS MARKET, BY ORGANIZATION SIZE, 2018–2021 (USD MILLION) 119
TABLE 87 EUROPE: MLOPS MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD MILLION) 119
TABLE 88 EUROPE: MLOPS MARKET, BY VERTICAL, 2018–2021 (USD MILLION) 119
TABLE 89 EUROPE: MLOPS MARKET, BY VERTICAL, 2022–2027 (USD MILLION) 120
TABLE 90 EUROPE: MLOPS MARKET, BY COUNTRY, 2018–2021 (USD MILLION) 120
TABLE 91 EUROPE: MLOPS MARKET, BY COUNTRY, 2022–2027 (USD MILLION) 120
10.3.3 UK 121
10.3.3.1 Growing government initiatives to promote research in AI 121
10.3.4 GERMANY 121
10.3.4.1 Increasing popularity of AI solutions across verticals to boost MLOps market 121
10.3.5 FRANCE 122
10.3.5.1 Large client base and significant R&D activity to drive market 122
10.3.6 REST OF EUROPE 122
10.4 ASIA PACIFIC 122
10.4.1 ASIA PACIFIC: MLOPS MARKET DRIVERS 122
10.4.2 ASIA PACIFIC: REGULATIONS 123
10.4.2.1 Privacy Commissioner for Personal Data 123
10.4.2.2 Act on the Protection of Personal Information 123
10.4.2.3 Critical Information Infrastructure 124
10.4.2.4 International Organization for Standardization 27001 124
10.4.2.5 Personal Data Protection Act 124
FIGURE 36 ASIA PACIFIC: MARKET SNAPSHOT 125
TABLE 92 ASIA PACIFIC: MLOPS MARKET, BY COMPONENT, 2018–2021 (USD MILLION) 125
TABLE 93 ASIA PACIFIC: MLOPS MARKET, BY COMPONENT, 2022–2027 (USD MILLION) 126
TABLE 94 ASIA PACIFIC: MLOPS MARKET, BY SERVICE, 2018–2021 (USD MILLION) 126
TABLE 95 ASIA PACIFIC: MLOPS MARKET, BY SERVICE, 2022–2027 (USD MILLION) 126
TABLE 96 ASIA PACIFIC: MLOPS MARKET, BY DEPLOYMENT MODE, 2018–2021 (USD MILLION) 126
TABLE 97 ASIA PACIFIC: MLOPS MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD MILLION) 127
TABLE 98 ASIA PACIFIC: MLOPS MARKET, BY ORGANIZATION SIZE, 2018–2021 (USD MILLION) 127
TABLE 99 ASIA PACIFIC: MLOPS MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD MILLION) 127
TABLE 100 ASIA PACIFIC: MLOPS MARKET, BY VERTICAL, 2018–2021 (USD MILLION) 127
TABLE 101 ASIA PACIFIC: MLOPS MARKET, BY VERTICAL, 2022–2027 (USD MILLION) 128
TABLE 102 ASIA PACIFIC: MLOPS MARKET, BY COUNTRY, 2018–2021 (USD MILLION) 128
TABLE 103 ASIA PACIFIC: MLOPS MARKET, BY COUNTRY, 2022–2027 (USD MILLION) 129
10.4.3 CHINA 129
10.4.3.1 Untapped MLOps opportunities across manufacturing industries to impact market 129
10.4.4 JAPAN 129
10.4.4.1 Governmental initiatives and strong focus on AI to drive market 129
10.4.5 THAILAND 130
10.4.5.1 Digital infrastructure development projects to drive market growth 130
10.4.6 MYANMAR 130
10.4.6.1 Growing public sector cloud adoption to boost market 130
10.4.7 VIETNAM 131
10.4.7.1 High demand from telecom and manufacturing sectors to impact market 131
10.4.8 INDIA 131
10.4.8.1 Growing number of MLOps startups and initiatives to propel market growth 131
10.4.9 REST OF ASIA PACIFIC 132
10.5 MIDDLE EAST & AFRICA 132
10.5.1 MIDDLE EAST & AFRICA: MLOPS MARKET DRIVERS 132
10.5.2 MIDDLE EAST & AFRICA: REGULATIONS 133
10.5.2.1 Israeli Privacy Protection Regulations (Data Security), 5777-2017 133
10.5.2.2 Cloud Computing Framework 133
10.5.2.3 GDPR Applicability in the Kingdom of Saudi Arabia (KSA) 133
10.5.2.4 Protection of Personal Information Act 134
TABLE 104 MIDDLE EAST & AFRICA: MLOPS MARKET, BY COMPONENT, 2018–2021 (USD MILLION) 134
TABLE 105 MIDDLE EAST & AFRICA: MLOPS MARKET, BY COMPONENT, 2022–2027 (USD MILLION) 134
TABLE 106 MIDDLE EAST & AFRICA: MLOPS MARKET, BY SERVICE, 2018–2021 (USD MILLION) 134
TABLE 107 MIDDLE EAST & AFRICA: MLOPS MARKET, BY SERVICE, 2022–2027 (USD MILLION) 135
TABLE 108 MIDDLE EAST & AFRICA: MLOPS MARKET, BY DEPLOYMENT MODE, 2018–2021 (USD MILLION) 135
TABLE 109 MIDDLE EAST & AFRICA: MLOPS MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD MILLION) 135
TABLE 110 MIDDLE EAST & AFRICA: MLOPS MARKET, BY ORGANIZATION SIZE, 2018–2021 (USD MILLION) 135
TABLE 111 MIDDLE EAST & AFRICA: MLOPS MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD MILLION) 136
TABLE 112 MIDDLE EAST & AFRICA: MLOPS MARKET, BY VERTICAL, 2018–2021 (USD MILLION) 136
TABLE 113 MIDDLE EAST & AFRICA: MLOPS MARKET, BY VERTICAL, 2022–2027 (USD MILLION) 136
TABLE 114 MIDDLE EAST & AFRICA: MLOPS MARKET, BY COUNTRY, 2018–2021 (USD MILLION) 137
TABLE 115 MIDDLE EAST & AFRICA: MLOPS MARKET, BY COUNTRY, 2022–2027 (USD MILLION) 137
10.5.3 MIDDLE EAST 137
10.5.3.1 Rising demand for innovative technologies to impact market 137
10.5.4 SOUTH AFRICA 138
10.5.4.1 Government measures to create awareness of advanced technologies to boost demand for MLOps 138
10.5.5 REST OF MIDDLE EAST & AFRICA 138
10.6 LATIN AMERICA 138
10.6.1 LATIN AMERICA: MLOPS MARKET DRIVERS 138
10.6.2 LATIN AMERICA: REGULATIONS 139
10.6.2.1 Brazil Data Protection Law 139
TABLE 116 LATIN AMERICA: MLOPS MARKET, BY COMPONENT, 2018–2021 (USD MILLION) 139
TABLE 117 LATIN AMERICA: MLOPS MARKET, BY COMPONENT, 2022–2027 (USD MILLION) 139
TABLE 118 LATIN AMERICA: MLOPS MARKET, BY SERVICE, 2018–2021 (USD MILLION) 139
TABLE 119 LATIN AMERICA: MLOPS MARKET, BY SERVICE, 2022–2027 (USD MILLION) 140
TABLE 120 LATIN AMERICA: MLOPS MARKET, BY DEPLOYMENT MODE, 2018–2021 (USD MILLION) 140
TABLE 121 LATIN AMERICA: MLOPS MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD MILLION) 140
TABLE 122 LATIN AMERICA: MLOPS MARKET, BY ORGANIZATION SIZE, 2018–2021 (USD MILLION) 140
TABLE 123 LATIN AMERICA: MLOPS MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD MILLION) 141
TABLE 124 LATIN AMERICA: MLOPS MARKET, BY VERTICAL, 2018–2021 (USD MILLION) 141
TABLE 125 LATIN AMERICA: MLOPS MARKET, BY VERTICAL, 2022–2027 (USD MILLION) 141
TABLE 126 LATIN AMERICA: MLOPS MARKET, BY COUNTRY, 2018–2021 (USD MILLION) 142
TABLE 127 LATIN AMERICA: MLOPS MARKET, BY COUNTRY, 2022–2027 (USD MILLION) 142
10.6.3 BRAZIL 142
10.6.3.1 Security and theft protection regulations to drive market growth 142
10.6.4 MEXICO 142
10.6.4.1 Government support for adoption of emerging technologies to drive demand for MLOps 142
10.6.5 REST OF LATIN AMERICA 143
11 COMPETITIVE LANDSCAPE 144
11.1 OVERVIEW 144
11.2 STRATEGIES OF KEY PLAYERS 144
TABLE 128 OVERVIEW OF STRATEGIES ADOPTED BY KEY PLAYERS IN MLOPS MARKET 144
11.3 REVENUE ANALYSIS 145
FIGURE 37 REVENUE ANALYSIS FOR KEY COMPANIES, 2018―2021 145
11.4 MARKET SHARE ANALYSIS 146
FIGURE 38 MLOPS MARKET SHARE ANALYSIS FOR KEY PLAYERS IN 2022 146
TABLE 129 MLOPS MARKET: DEGREE OF COMPETITION 146
11.5 COMPANY EVALUATION QUADRANT 147
11.5.1 STARS 147
11.5.2 EMERGING LEADERS 147
11.5.3 PERVASIVE PLAYERS 147
11.5.4 PARTICIPANTS 147
FIGURE 39 KEY MLOPS MARKET PLAYERS, COMPANY EVALUATION MATRIX, 2022 148
11.6 STARTUP/SME EVALUATION MATRIX 149
11.6.1 PROGRESSIVE COMPANIES 149
11.6.2 RESPONSIVE COMPANIES 149
11.6.3 DYNAMIC COMPANIES 149
11.6.4 STARTING BLOCKS 149
FIGURE 40 MLOPS MARKET EVALUATION MATRIX FOR STARTUPS/SMES, 2022 150
11.7 COMPETITIVE BENCHMARKING 151
TABLE 130 MLOPS MARKET: KEY STARTUPS/SMES 151
TABLE 131 MLOPS MARKET: COMPETITIVE BENCHMARKING OF KEY PLAYERS (STARTUPS/SMES) 152
TABLE 132 MLOPS MARKET: COMPETITIVE BENCHMARKING OF KEY PLAYERS (STARTUPS/SMES) 152
11.8 COMPETITIVE SCENARIO 153
11.8.1 PRODUCT LAUNCHES 153
TABLE 133 PRODUCT LAUNCHES, 2018–2022 153
11.8.2 DEALS 154
TABLE 134 DEALS, 2018–2022 154
11.8.3 OTHERS 155
TABLE 135 OTHERS, 2019–2020 155
12 COMPANY PROFILES 156
12.1 MAJOR PLAYERS 156
(Business Overview, Products, Solutions & Services offered, Recent Developments, MnM View)*
12.1.1 HPE 156
TABLE 136 HPE: BUSINESS OVERVIEW 156
FIGURE 41 HPE: FINANCIAL OVERVIEW 157
TABLE 137 HPE: PRODUCTS OFFERED 157
TABLE 138 HPE: PRODUCT LAUNCHES 158
TABLE 139 HPE: DEALS 159
12.1.2 IBM 160
TABLE 140 IBM: BUSINESS OVERVIEW 160
FIGURE 42 IBM: FINANCIAL OVERVIEW 161
TABLE 141 IBM: PRODUCTS OFFERED 161
TABLE 142 IBM: PRODUCT LAUNCHES 162
TABLE 143 IBM: DEALS 162
12.1.3 ALTERYX 164
TABLE 144 ALTERYX: BUSINESS OVERVIEW 164
FIGURE 43 ALTERYX: FINANCIAL OVERVIEW 165
TABLE 145 ALTERYX: PRODUCTS OFFERED 165
TABLE 146 ALTERYX: PRODUCT LAUNCHES 166
TABLE 147 ALTERYX: DEALS 167
TABLE 148 ALTERYX: OTHERS 168
12.1.4 GOOGLE 169
TABLE 149 GOOGLE: BUSINESS OVERVIEW 169
FIGURE 44 GOOGLE: COMPANY SNAPSHOT 170
TABLE 150 GOOGLE: PRODUCTS OFFERED 170
TABLE 151 GOOGLE: PRODUCT LAUNCHES AND ENHANCEMENTS 171
TABLE 152 GOOGLE: DEALS 172
12.1.5 GAVS TECHNOLOGIES 174
TABLE 153 GAVS TECHNOLOGIES: BUSINESS OVERVIEW 174
TABLE 154 GAVS TECHNOLOGIES: PRODUCTS OFFERED 174
TABLE 155 GAVS TECHNOLOGIES: DEALS 175
12.1.6 DATAROBOT 176
TABLE 156 DATAROBOT: BUSINESS OVERVIEW 176
TABLE 157 DATAROBOT: PRODUCTS OFFERED 176
TABLE 158 DATAROBOT: PRODUCT LAUNCHES AND ENHANCEMENTS 177
TABLE 159 DATAROBOT: DEALS 178
12.1.7 CLOUDERA 180
TABLE 160 CLOUDERA 180
TABLE 161 CLOUDERA: PRODUCTS OFFERED 180
TABLE 162 CLOUDERA: PRODUCT LAUNCHES AND ENHANCEMENTS 181
TABLE 163 CLOUDERA: DEALS 182
12.1.8 AWS 183
TABLE 164 AWS: BUSINESS OVERVIEW 183
FIGURE 45 AWS: COMPANY SNAPSHOT 183
TABLE 165 AWS: PRODUCTS OFFERED 184
TABLE 166 AWS: PRODUCT LAUNCHES AND ENHANCEMENTS 184
TABLE 167 AWS: DEALS 186
*Details on Business Overview, Solutions, Products & Services offered, Recent Developments, MnM View might not be captured in case of unlisted companies.
12.2 STARTUPS/SMES 188
12.2.1 DOMINO DATA LAB 188
12.2.2 VALOHAI 188
12.2.3 H2O.AI 189
12.2.4 MLFLOW 190
12.2.5 NEPTUNE.AI 190
12.2.6 COMET 191
12.2.7 SPARKCOGNITION 192
12.2.8 HOPSWORKS 193
12.2.9 DATATRON 193
12.2.10 WEIGHTS & BIASES 194
12.2.11 KATONIC.AI 195
12.2.12 MODZY 196
12.2.13 IGUAZIO 197
12.2.14 TELIOLABS 197
12.2.15 CLEARML 198
12.2.16 AKIRA.AI 199
12.2.17 BLAIZE 200
13 ADJACENT AND RELATED MARKETS 201
13.1 INTRODUCTION 201
13.2 ARTIFICIAL INTELLIGENCE MARKET – GLOBAL FORECAST TO 2027 201
13.2.1 MARKET DEFINITION 201
13.2.2 MARKET OVERVIEW 201
13.2.3 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING 202
TABLE 168 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2016–2021 (USD BILLION) 202
TABLE 169 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2022–2027 (USD BILLION) 202
13.2.4 ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY 202
TABLE 170 ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2016–2021 (USD BILLION) 203
TABLE 171 ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2022–2027 (USD BILLION) 203
13.2.5 ARTIFICIAL INTELLIGENCE MARKET, BY DEPLOYMENT MODE 203
TABLE 172 ARTIFICIAL INTELLIGENCE MARKET, BY DEPLOYMENT MODE, 2016–2021 (USD BILLION) 203
TABLE 173 ARTIFICIAL INTELLIGENCE MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD BILLION) 204
13.2.6 ARTIFICIAL INTELLIGENCE MARKET, BY ORGANIZATION SIZE 204
TABLE 174 ARTIFICIAL INTELLIGENCE MARKET, BY ORGANIZATION, 2016–2021 (USD BILLION) 204
TABLE 175 ARTIFICIAL INTELLIGENCE MARKET, BY ORGANIZATION, 2022–2027 (USD BILLION) 204
13.2.7 ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION 205
TABLE 176 ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2016–2021 (USD BILLION) 205
TABLE 177 ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2022–2027 (USD BILLION) 205
13.2.8 ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL 205
TABLE 178 ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2016–2021 (USD BILLION) 206
TABLE 179 ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2022–2027 (USD BILLION) 206
13.2.9 ARTIFICIAL INTELLIGENCE MARKET, BY REGION 207
TABLE 180 ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD BILLION) 207
TABLE 181 ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD BILLION) 207
13.3 AI GOVERNANCE MARKET – GLOBAL FORECAST TO 2026 208
13.3.1 MARKET DEFINITION 208
13.3.2 MARKET OVERVIEW 208
13.3.3 AI GOVERNANCE MARKET, BY COMPONENT 208
TABLE 182 AI GOVERNANCE MARKET SIZE, BY COMPONENT, 2020–2026 (USD MILLION) 208
13.3.4 AI GOVERNANCE MARKET, BY DEPLOYMENT MODE 208
TABLE 183 AI GOVERNANCE MARKET SIZE, BY DEPLOYMENT MODE, 2020–2026 (USD MILLION) 209
13.3.5 AI GOVERNANCE MARKET, BY ORGANIZATION SIZE 209
TABLE 184 AI GOVERNANCE MARKET SIZE, BY ORGANIZATION SIZE, 2020–2026 (USD MILLION) 209
13.3.6 AI GOVERNANCE MARKET, BY VERTICAL 209
TABLE 185 AI GOVERNANCE MARKET SIZE, BY VERTICAL, 2020–2026 (USD MILLION) 210
13.3.7 AI GOVERNANCE MARKET, BY REGION 210
TABLE 186 AI GOVERNANCE MARKET SIZE, BY REGION, 2020–2026 (USD MILLION) 210
14 APPENDIX 211
14.1 DISCUSSION GUIDE 211
14.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 216
14.3 CUSTOMIZATION OPTIONS 218
14.4 RELATED REPORTS 218
14.5 AUTHOR DETAILS 219