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PUBLISHER: MarketsandMarkets | PRODUCT CODE: 1173532

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PUBLISHER: MarketsandMarkets | PRODUCT CODE: 1173532

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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Table of Contents

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.

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Product Code: TC 8518

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 STUDY OBJECTIVES
  • 1.2 MARKET DEFINITION
    • 1.2.1 INCLUSIONS AND EXCLUSIONS
  • 1.3 MARKET SCOPE
    • 1.3.1 MARKET SEGMENTATION
    • 1.3.2 REGIONS COVERED
    • 1.3.3 YEARS CONSIDERED
  • 1.4 CURRENCY CONSIDERED
    • TABLE 1 UNITED STATES DOLLAR EXCHANGE RATE, 2019-2021
  • 1.5 STAKEHOLDERS

2 RESEARCH METHODOLOGY

  • 2.1 RESEARCH DATA
    • FIGURE 1 MLOPS: RESEARCH DESIGN
    • 2.1.1 SECONDARY DATA
    • 2.1.2 PRIMARY DATA
    • TABLE 2 PRIMARY INTERVIEWS
      • 2.1.2.1 Breakup of primary profiles
      • 2.1.2.2 Key industry insights
  • 2.2 MARKET BREAKUP AND DATA TRIANGULATION
    • FIGURE 2 DATA TRIANGULATION
  • 2.3 MARKET SIZE ESTIMATION
    • FIGURE 3 MLOPS: TOP-DOWN AND BOTTOM-UP APPROACHES
    • 2.3.1 TOP-DOWN APPROACH
    • 2.3.2 BOTTOM-UP APPROACH
    • FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 1 (SUPPLY-SIDE): REVENUE FROM MLOPS SOLUTIONS/SERVICES
    • FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 2, BOTTOM-UP (SUPPLY-SIDE): COLLECTIVE REVENUE FROM ALL MLOPS PLATFORMS/SERVICES
    • FIGURE 6 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 3, BOTTOM-UP (SUPPLY-SIDE): COLLECTIVE REVENUE FROM ALL MLOPS PLATFORMS/SERVICES
    • FIGURE 7 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 4, BOTTOM-UP (DEMAND-SIDE): SHARE OF MLOPS THROUGH OVERALL MLOPS SPENDING
  • 2.4 MARKET FORECAST
    • TABLE 3 FACTOR ANALYSIS
  • 2.5 COMPANY EVALUATION MATRIX METHODOLOGY
    • FIGURE 8 COMPANY EVALUATION MATRIX: CRITERIA WEIGHTAGE
  • 2.6 STARTUP/SME EVALUATION MATRIX METHODOLOGY
    • FIGURE 9 STARTUP/SME EVALUATION MATRIX: CRITERIA WEIGHTAGE
  • 2.7 ASSUMPTIONS
  • 2.8 LIMITATIONS

3 EXECUTIVE SUMMARY

    • TABLE 4 GLOBAL MLOPS MARKET SIZE AND GROWTH RATE, 2018-2021 (USD MILLION, Y-O-Y%)
    • TABLE 5 GLOBAL MLOPS MARKET SIZE AND GROWTH RATE, 2022-2027 (USD MILLION, Y-O-Y%)
    • FIGURE 10 PLATFORMS SEGMENT TO LEAD MARKET IN 2022
    • FIGURE 11 CONSULTING SERVICES SEGMENT TO HOLD LARGEST MARKET SHARE IN 2022
    • FIGURE 12 CLOUD SEGMENT TO ACCOUNT FOR LARGER MARKET SIZE IN 2022
    • FIGURE 13 LARGE ENTERPRISES SEGMENT TO DOMINATE MARKET IN 2022
    • FIGURE 14 BANKING, FINANCIAL SERVICES& INSURANCE VERTICAL TO LEAD MARKET IN 2022
    • FIGURE 15 NORTH AMERICA TO HOLD LARGEST MARKET SHARE IN 2022

4 PREMIUM INSIGHTS

  • 4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN MLOPS MARKET
    • FIGURE 16 HIGH DEMAND FOR DATA-DRIVEN INSIGHTS PLATFORM TO DRIVE MLOPS MARKET DURING FORECAST PERIOD
  • 4.2 MLOPS MARKET, BY VERTICAL
    • FIGURE 17 BANKING, FINANCIAL SERVICES & INSURANCE VERTICAL TO LEAD MARKET DURING FORECAST PERIOD
  • 4.3 MLOPS MARKET, BY REGION
    • FIGURE 18 NORTH AMERICA TO ACCOUNT FOR LARGEST MARKET SHARE BY 2026
  • 4.4 NORTH AMERICA: MLOPS MARKET, BY COMPONENT AND COUNTRY
    • FIGURE 19 PLATFORMS SEGMENT AND US TO DOMINATE NORTH AMERICAN MARKET IN 2022

5 MARKET OVERVIEW AND INDUSTRY TRENDS

  • 5.1 INTRODUCTION
  • 5.2 MARKET DYNAMICS
    • FIGURE 20 DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES: MLOPS MARKET
    • 5.2.1 DRIVERS
      • 5.2.1.1 Standardization of ML processes for effective teamwork
      • 5.2.1.2 Improved efficiency due to increased monitorability
      • 5.2.1.3 Increased productivity and quicker AI implementation
    • 5.2.2 RESTRAINTS
      • 5.2.2.1 Lack of expertise among personnel
    • 5.2.3 OPPORTUNITIES
      • 5.2.3.1 Expanded use of machine learning in financial sector
    • 5.2.4 CHALLENGES
      • 5.2.4.1 Difficulty in managing various pipelines
      • 5.2.4.2 Risk of raw data manipulation
  • 5.3 MLOPS MARKET: KEY PHASES
    • FIGURE 21 MLOPS MARKET: KEY PHASES
  • 5.4 MLOPS MARKET: ARCHITECTURE
    • FIGURE 22 MLOPS MARKET: ARCHITECTURE
  • 5.5 MLOPS MARKET: VALUE CHAIN ANALYSIS
    • FIGURE 23 MLOPS MARKET: VALUE CHAIN
  • 5.6 ECOSYSTEM
    • FIGURE 24 MLOPS MARKET: ECOSYSTEM
    • TABLE 6 MLOPS MARKET: ECOSYSTEM
  • 5.7 MLOPS CAPABILITIES
    • 5.7.1 EXPLORATORY DATA ANALYSIS
    • 5.7.2 DATA PREP AND FEATURE ENGINEERING
    • 5.7.3 MODEL TRAINING AND TUNING
    • 5.7.4 MODEL REVIEW AND GOVERNANCE
    • 5.7.5 MODEL INFERENCE AND SERVING
    • 5.7.6 MODEL MONITORING
    • 5.7.7 AUTOMATED MODEL RETRAINING
  • 5.8 PRICING MODELS OF MLOPS MARKET PLAYERS
    • TABLE 7 PRICING MODELS AND INDICATIVE PRICE POINTS, 2021-2022
  • 5.9 TECHNOLOGY ANALYSIS
    • 5.9.1 INTRODUCTION
    • 5.9.2 ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING
  • 5.10 CASE STUDY ANALYSIS
    • 5.10.1 EXTERNAL SOLUTION SIMPLIFIES MACHINE LEARNING INFRASTRUCTURE AUTOMATION
    • 5.10.2 COMPOSITE+ INCREASES ACCURACY OF BOND PRICE PREDICTION
    • 5.10.3 CLEARML SOLUTION ENABLES EFFICIENT AGRICULTURAL IMAGERY ANALYSIS
    • 5.10.4 CONTINUUM INDUSTRIES COLLABORATES WITH NEPTUNE.AI TO INTEGRATE MLOPS SOLUTION IN CORE PRODUCT
    • 5.10.5 JANSSEN PHARMACEUTICALS ACHIEVES FASTER DEEP LEARNING MODEL DEVELOPMENT WITH DOMINO DATA LAB'S MLOPS SOLUTION
  • 5.11 PATENT ANALYSIS
    • 5.11.1 METHODOLOGY
    • 5.11.2 PATENT DOCUMENT TYPES
    • TABLE 8 PATENTS FILED, 2019-2022
    • 5.11.3 INNOVATION AND PATENT APPLICATIONS
    • FIGURE 25 TOTAL NUMBER OF PATENTS GRANTED PER YEAR, 2019-2022
      • 5.11.3.1 Top applicants
    • FIGURE 26 TOP TEN COMPANIES WITH HIGHEST NUMBER OF PATENT APPLICATIONS, 2019-2022
    • TABLE 9 US: TOP TEN PATENT OWNERS IN MLOPS MARKET, 2019-2022
    • TABLE 10 PATENTS IN MLOPS MARKET, 2020-2022
  • 5.12 PORTER'S FIVE FORCES ANALYSIS
    • TABLE 11 MLOPS MARKET: PORTER'S FIVE FORCES MODEL
    • 5.12.1 THREAT OF NEW ENTRANTS
    • 5.12.2 THREAT OF SUBSTITUTES
    • 5.12.3 BARGAINING POWER OF SUPPLIERS
    • 5.12.4 BARGAINING POWER OF BUYERS
    • 5.12.5 INTENSITY OF COMPETITIVE RIVALRY
  • 5.13 KEY STAKEHOLDERS AND BUYING CRITERIA
    • 5.13.1 KEY STAKEHOLDERS IN BUYING PROCESS
    • FIGURE 27 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE END USERS
    • TABLE 12 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE END USERS (%)
    • 5.13.2 BUYING CRITERIA
    • FIGURE 28 KEY BUYING CRITERIA FOR TOP THREE END USERS
    • TABLE 13 KEY BUYING CRITERIA FOR TOP THREE VERTICALS
  • 5.14 REGULATORY LANDSCAPE
    • 5.14.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    • TABLE 14 NORTH AMERICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    • TABLE 15 EUROPE: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    • TABLE 16 ASIA PACIFIC: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    • TABLE 17 MIDDLE EAST & AFRICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    • TABLE 18 LATIN AMERICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
      • 5.14.1.1 North America
        • 5.14.1.1.1 US
        • 5.14.1.1.2 Canada
      • 5.14.1.2 Europe
        • 5.14.1.2.1 General Data Protection Regulation
        • 5.14.1.2.2 European Committee for Standardization (CEN)
        • 5.14.1.2.3 European Technical Standards Institute (ETSI)
      • 5.14.1.3 Asia Pacific
        • 5.14.1.3.1 China
        • 5.14.1.3.2 India
        • 5.14.1.3.3 Australia
        • 5.14.1.3.4 Japan
      • 5.14.1.4 Middle East & Africa
        • 5.14.1.4.1 Middle East
        • 5.14.1.4.2 South Africa
      • 5.14.1.5 Latin America
        • 5.14.1.5.1 Brazil
        • 5.14.1.5.2 Mexico
  • 5.15 KEY CONFERENCES & EVENTS, 2022-2023
    • TABLE 19 MLOPS MARKET: CONFERENCES & EVENTS

6 MLOPS MARKET, BY COMPONENT

  • 6.1 INTRODUCTION
    • 6.1.1 COMPONENT: MARKET DRIVERS
    • FIGURE 29 PLATFORMS SEGMENT TO ACCOUNT FOR LARGER MARKET SIZE DURING FORECAST PERIOD
    • TABLE 20 MLOPS MARKET, BY COMPONENT, 2018-2021 (USD MILLION)
    • TABLE 21 MLOPS MARKET, BY COMPONENT, 2022-2027 (USD MILLION)
  • 6.2 PLATFORMS
    • 6.2.1 OFFER FLEXIBILITY TO DATA MANAGEMENT TEAMS
    • TABLE 22 PLATFORMS: MLOPS MARKET, BY REGION, 2018-2021 (USD MILLION)
    • TABLE 23 PLATFORMS: MLOPS MARKET, BY REGION, 2022-2027 (USD MILLION)
  • 6.3 SERVICES
    • 6.3.1 PROVIDE READY-TO-DEPLOY SOLUTIONS FOR MANAGING DATA AND TRAINING ML MODELS
    • TABLE 24 SERVICES: MLOPS MARKET, BY REGION, 2018-2021 (USD MILLION)
    • TABLE 25 SERVICES: MLOPS MARKET, BY REGION, 2022-2027 (USD MILLION)
    • 6.3.2 CONSULTING
    • TABLE 26 CONSULTING: MLOPS MARKET, BY REGION, 2018-2021 (USD MILLION)
    • TABLE 27 CONSULTING SERVICES: MLOPS MARKET, BY REGION, 2022-2027 (USD MILLION)
    • 6.3.3 DEPLOYMENT & INTEGRATION
    • TABLE 28 DEPLOYMENT & INTEGRATION: MLOPS MARKET, BY REGION, 2018-2021 (USD MILLION)
    • TABLE 29 DEPLOYMENT & INTEGRATION: MLOPS MARKET, BY REGION, 2022-2027 (USD MILLION)
    • 6.3.4 SUPPORT & MAINTENANCE
    • TABLE 30 SUPPORT & MAINTENANCE: MLOPS MARKET, BY REGION, 2018-2021 (USD MILLION)
    • TABLE 31 SUPPORT & MAINTENANCE: MLOPS MARKET, BY REGION, 2022-2027 (USD MILLION)

7 MLOPS MARKET, BY DEPLOYMENT MODE

  • 7.1 INTRODUCTION
    • 7.1.1 DEPLOYMENT MODE: MLOPS MARKET DRIVERS
    • FIGURE 30 ON-PREMISES SEGMENT TO RECORD HIGHER CAGR DURING FORECAST PERIOD
    • TABLE 32 MLOPS MARKET, BY DEPLOYMENT MODE, 2018-2021 (USD MILLION)
    • TABLE 33 MLOPS MARKET, BY DEPLOYMENT MODE, 2022-2027 (USD MILLION)
  • 7.2 ON-PREMISES
    • 7.2.1 OFFERS ENHANCED SECURITY AT LOWER COST
    • TABLE 34 ON-PREMISES: MLOPS MARKET, BY REGION, 2018-2021 (USD MILLION)
    • TABLE 35 ON-PREMISES: MLOPS MARKET, BY REGION, 2022-2027 (USD MILLION)
  • 7.3 CLOUD
    • 7.3.1 REDUCES OPERATIONAL COSTS AND PROVIDES SCALABILITY
    • TABLE 36 CLOUD: MLOPS MARKET, BY REGION, 2018-2021 (USD MILLION)
    • TABLE 37 CLOUD: MLOPS MARKET, BY REGION, 2022-2027 (USD MILLION)

8 MLOPS MARKET, BY ORGANIZATION SIZE

  • 8.1 INTRODUCTION
    • 8.1.1 ORGANIZATION SIZE: MLOPS MARKET DRIVERS
    • FIGURE 31 SMALL AND MEDIUM-SIZED ENTERPRISES SEGMENT TO RECORD HIGHER CAGR DURING FORECAST PERIOD
    • TABLE 38 MLOPS MARKET, BY ORGANIZATION SIZE, 2018-2021 (USD MILLION)
    • TABLE 39 MLOPS MARKET, BY ORGANIZATION SIZE, 2022-2027 (USD MILLION)
  • 8.2 SMALL AND MEDIUM-SIZED ENTERPRISES
    • 8.2.1 HIGHER ADOPTION OF MLOPS TECHNOLOGY EXPECTED
    • TABLE 40 SMALL AND MEDIUM-SIZED ENTERPRISES: MLOPS MARKET, BY REGION, 2018-2021 (USD MILLION)
    • TABLE 41 SMALL AND MEDIUM-SIZED ENTERPRISES: MLOPS MARKET, BY REGION, 2022-2027 (USD MILLION)
  • 8.3 LARGE ENTERPRISES
    • 8.3.1 GROWING USE OF MLOPS PLATFORMS TO FACILITATE DATA MANAGEMENT
    • TABLE 42 LARGE ENTERPRISES: MLOPS MARKET, BY REGION, 2018-2021 (USD MILLION)
    • TABLE 43 LARGE ENTERPRISES: MLOPS MARKET, BY REGION, 2022-2027 (USD MILLION)

9 MLOPS MARKET, BY VERTICAL

  • 9.1 INTRODUCTION
    • 9.1.1 VERTICAL: MLOPS DRIVERS
    • FIGURE 32 BFSI SEGMENT TO ACCOUNT FOR LARGEST MARKET SIZE BY 2027
    • TABLE 44 MLOPS MARKET, BY VERTICAL, 2018-2021 (USD MILLION)
    • TABLE 45 MLOPS MARKET, BY VERTICAL, 2022-2027 (USD MILLION)
  • 9.2 BANKING, FINANCIAL SERVICES, AND INSURANCE
    • 9.2.1 MLOPS FACILITATES REAL-TIME FRAUD DETECTION
    • TABLE 46 BANKING, FINANCIAL SERVICES, AND INSURANCE: MLOPS MARKET, BY REGION, 2018-2021 (USD MILLION)
    • TABLE 47 BANKING, FINANCIAL SERVICES, AND INSURANCE: MLOPS MARKET, BY REGION, 2022-2027 (USD MILLION)
  • 9.3 TELECOM
    • 9.3.1 GROWING ADOPTION OF MLOPS TO ENHANCE CUSTOMER ENGAGEMENT
    • TABLE 48 TELECOM: MLOPS MARKET, BY REGION, 2018-2021 (USD MILLION)
    • TABLE 49 TELECOM: MLOPS MARKET, BY REGION, 2022-2027 (USD MILLION)
  • 9.4 HEALTHCARE & LIFE SCIENCES
    • 9.4.1 IMPROVED DIAGNOSTIC ACCURACY AND RISK ASSESSMENT
    • TABLE 50 HEALTHCARE & LIFE SCIENCES: MLOPS MARKET, BY REGION, 2018-2021 (USD MILLION)
    • TABLE 51 HEALTHCARE & LIFE SCIENCES: MLOPS MARKET, BY REGION, 2022-2027 (USD MILLION)
  • 9.5 RETAIL & ECOMMERCE
    • 9.5.1 USE OF MLOPS HELPS TAILOR PERSONALIZED EXPERIENCE FOR CONSUMERS
    • TABLE 52 RETAIL & ECOMMERCE: MLOPS MARKET, BY REGION, 2018-2021 (USD MILLION)
    • TABLE 53 RETAIL & ECOMMERCE: MLOPS MARKET, BY REGION, 2022-2027 (USD MILLION)
  • 9.6 IT & ITES
    • 9.6.1 INCREASED PREFERENCE FOR MLOPS TO MANAGE BIG DATA
    • TABLE 54 IT & ITES: MLOPS MARKET, BY REGION, 2018-2021 (USD MILLION)
    • TABLE 55 IT & ITES: MLOPS MARKET, BY REGION, 2022-2027 (USD MILLION)
  • 9.7 GOVERNMENT & DEFENSE
    • 9.7.1 USE OF MLOPS TO SOLVE COMPLEX PROBLEMS
    • TABLE 56 GOVERNMENT & DEFENSE: MLOPS MARKET, BY REGION, 2018-2021 (USD MILLION)
    • TABLE 57 GOVERNMENT & DEFENSE: MLOPS MARKET, BY REGION, 2022-2027 (USD MILLION)
  • 9.8 MANUFACTURING
    • 9.8.1 GROWING ADOPTION OF MLOPS TO OPTIMIZE PLANT PRODUCTION
    • TABLE 58 MANUFACTURING: MLOPS MARKET, BY REGION, 2018-2021 (USD MILLION)
    • TABLE 59 MANUFACTURING: MLOPS MARKET, BY REGION, 2022-2027 (USD MILLION)
  • 9.9 ENERGY & UTILITIES
    • 9.9.1 NEED FOR MLOPS SOLUTIONS TO ENHANCE EFFICIENCY AND REDUCE WASTE
    • TABLE 60 ENERGY & UTILITIES: MLOPS MARKET, BY REGION, 2018-2021 (USD MILLION)
    • TABLE 61 ENERGY & UTILITIES: MLOPS MARKET, BY REGION, 2022-2027 (USD MILLION)
  • 9.10 TRANSPORTATION & LOGISTICS
    • 9.10.1 RISING ADOPTION OF MLOPS TO IMPROVE WAREHOUSE MANAGEMENT AND SUPPLY CHAIN EFFICIENCY
    • TABLE 62 TRANSPORTATION & LOGISTICS: MLOPS MARKET, BY REGION, 2018-2021 (USD MILLION)
    • TABLE 63 TRANSPORTATION & LOGISTICS: MLOPS MARKET, BY REGION, 2022-2027 (USD MILLION)
  • 9.11 OTHERS (MEDIA & ENTERTAINMENT, TRAVEL & HOSPITALITY, AND EDUCATION & RESEARCH)
    • 9.11.1 INCREASING DEMAND FOR MLOPS TO IMPROVE CUSTOMER EXPERIENCE
    • TABLE 64 OTHERS: MLOPS MARKET, BY REGION, 2018-2021 (USD MILLION)
    • TABLE 65 OTHERS: MLOPS MARKET, BY REGION, 2022-2027 (USD MILLION)

10 MLOPS MARKET, BY REGION

  • 10.1 INTRODUCTION
    • FIGURE 33 THAILAND TO ACCOUNT FOR HIGHEST CAGR DURING FORECAST PERIOD
    • FIGURE 34 ASIA PACIFIC TO RECORD HIGHEST CAGR DURING FORECAST PERIOD
    • TABLE 66 MLOPS MARKET, BY REGION, 2018-2021 (USD MILLION)
    • TABLE 67 MLOPS MARKET, BY REGION, 2022-2027 (USD MILLION)
  • 10.2 NORTH AMERICA
    • 10.2.1 NORTH AMERICA: MLOPS MARKET DRIVERS
    • 10.2.2 NORTH AMERICA: REGULATIONS
      • 10.2.2.1 Personal Information Protection and Electronic Documents Act (PIPEDA)
      • 10.2.2.2 Gramm-Leach-Bliley Act
      • 10.2.2.3 Federal Information Security Management Act
      • 10.2.2.4 Health Insurance Portability and Accountability Act of 1996
      • 10.2.2.5 Occupational Safety and Health Administration (OSHA)
      • 10.2.2.6 California Consumer Privacy Act
    • FIGURE 35 NORTH AMERICA: MARKET SNAPSHOT
    • TABLE 68 NORTH AMERICA: MLOPS MARKET, BY COMPONENT, 2018-2021 (USD MILLION)
    • TABLE 69 NORTH AMERICA: MLOPS MARKET, BY COMPONENT, 2022-2027 (USD MILLION)
    • TABLE 70 NORTH AMERICA: MLOPS MARKET, BY SERVICE, 2018-2021 (USD MILLION)
    • TABLE 71 NORTH AMERICA: MLOPS MARKET, BY SERVICE, 2022-2027 (USD MILLION)
    • TABLE 72 NORTH AMERICA: MLOPS MARKET, BY DEPLOYMENT MODE, 2018-2021 (USD MILLION)
    • TABLE 73 NORTH AMERICA: MLOPS MARKET, BY DEPLOYMENT MODE, 2022-2027 (USD MILLION)
    • TABLE 74 NORTH AMERICA: MLOPS MARKET, BY ORGANIZATION SIZE, 2018-2021 (USD MILLION)
    • TABLE 75 NORTH AMERICA: MLOPS MARKET, BY ORGANIZATION SIZE, 2022-2027 (USD MILLION)
    • TABLE 76 NORTH AMERICA: MLOPS MARKET, BY VERTICAL, 2018-2021 (USD MILLION)
    • TABLE 77 NORTH AMERICA: MLOPS MARKET, BY VERTICAL, 2022-2027 (USD MILLION)
    • TABLE 78 NORTH AMERICA: MLOPS MARKET, BY COUNTRY, 2018-2021 (USD MILLION)
    • TABLE 79 NORTH AMERICA: MLOPS MARKET, BY COUNTRY, 2022-2027 (USD MILLION)
    • 10.2.3 US
      • 10.2.3.1 Rising demand for automation to streamline business operations to drive MLOps adoption
    • 10.2.4 CANADA
      • 10.2.4.1 Increasing R&D in advanced technologies to boost market
  • 10.3 EUROPE
    • 10.3.1 EUROPE: MLOPS MARKET DRIVERS
    • 10.3.2 EUROPE: REGULATIONS
      • 10.3.2.1 European Market Infrastructure Regulation
      • 10.3.2.2 General Data Protection Regulation
      • 10.3.2.3 European Committee for Standardization
      • 10.3.2.4 European Technical Standards Institute
    • TABLE 80 EUROPE: MLOPS MARKET, BY COMPONENT, 2018-2021 (USD MILLION)
    • TABLE 81 EUROPE: MLOPS MARKET, BY COMPONENT, 2022-2027 (USD MILLION)
    • TABLE 82 EUROPE: MLOPS MARKET, BY SERVICE, 2018-2021 (USD MILLION)
    • TABLE 83 EUROPE: MLOPS MARKET, BY SERVICE, 2022-2027 (USD MILLION)
    • TABLE 84 EUROPE: MLOPS MARKET, BY DEPLOYMENT MODE, 2018-2021 (USD MILLION)
    • TABLE 85 EUROPE: MLOPS MARKET, BY DEPLOYMENT MODE, 2022-2027 (USD MILLION)
    • TABLE 86 EUROPE: MLOPS MARKET, BY ORGANIZATION SIZE, 2018-2021 (USD MILLION)
    • TABLE 87 EUROPE: MLOPS MARKET, BY ORGANIZATION SIZE, 2022-2027 (USD MILLION)
    • TABLE 88 EUROPE: MLOPS MARKET, BY VERTICAL, 2018-2021 (USD MILLION)
    • TABLE 89 EUROPE: MLOPS MARKET, BY VERTICAL, 2022-2027 (USD MILLION)
    • TABLE 90 EUROPE: MLOPS MARKET, BY COUNTRY, 2018-2021 (USD MILLION)
    • TABLE 91 EUROPE: MLOPS MARKET, BY COUNTRY, 2022-2027 (USD MILLION)
    • 10.3.3 UK
      • 10.3.3.1 Growing government initiatives to promote research in AI
    • 10.3.4 GERMANY
      • 10.3.4.1 Increasing popularity of AI solutions across verticals to boost MLOps market
    • 10.3.5 FRANCE
      • 10.3.5.1 Large client base and significant R&D activity to drive market
    • 10.3.6 REST OF EUROPE
  • 10.4 ASIA PACIFIC
    • 10.4.1 ASIA PACIFIC: MLOPS MARKET DRIVERS
    • 10.4.2 ASIA PACIFIC: REGULATIONS
      • 10.4.2.1 Privacy Commissioner for Personal Data
      • 10.4.2.2 Act on the Protection of Personal Information
      • 10.4.2.3 Critical Information Infrastructure
      • 10.4.2.4 International Organization for Standardization 27001
      • 10.4.2.5 Personal Data Protection Act
    • FIGURE 36 ASIA PACIFIC: MARKET SNAPSHOT
    • TABLE 92 ASIA PACIFIC: MLOPS MARKET, BY COMPONENT, 2018-2021 (USD MILLION)
    • TABLE 93 ASIA PACIFIC: MLOPS MARKET, BY COMPONENT, 2022-2027 (USD MILLION)
    • TABLE 94 ASIA PACIFIC: MLOPS MARKET, BY SERVICE, 2018-2021 (USD MILLION)
    • TABLE 95 ASIA PACIFIC: MLOPS MARKET, BY SERVICE, 2022-2027 (USD MILLION)
    • TABLE 96 ASIA PACIFIC: MLOPS MARKET, BY DEPLOYMENT MODE, 2018-2021 (USD MILLION)
    • TABLE 97 ASIA PACIFIC: MLOPS MARKET, BY DEPLOYMENT MODE, 2022-2027 (USD MILLION)
    • TABLE 98 ASIA PACIFIC: MLOPS MARKET, BY ORGANIZATION SIZE, 2018-2021 (USD MILLION)
    • TABLE 99 ASIA PACIFIC: MLOPS MARKET, BY ORGANIZATION SIZE, 2022-2027 (USD MILLION)
    • TABLE 100 ASIA PACIFIC: MLOPS MARKET, BY VERTICAL, 2018-2021 (USD MILLION)
    • TABLE 101 ASIA PACIFIC: MLOPS MARKET, BY VERTICAL, 2022-2027 (USD MILLION)
    • TABLE 102 ASIA PACIFIC: MLOPS MARKET, BY COUNTRY, 2018-2021 (USD MILLION)
    • TABLE 103 ASIA PACIFIC: MLOPS MARKET, BY COUNTRY, 2022-2027 (USD MILLION)
    • 10.4.3 CHINA
      • 10.4.3.1 Untapped MLOps opportunities across manufacturing industries to impact market
    • 10.4.4 JAPAN
      • 10.4.4.1 Governmental initiatives and strong focus on AI to drive market
    • 10.4.5 THAILAND
      • 10.4.5.1 Digital infrastructure development projects to drive market growth
    • 10.4.6 MYANMAR
      • 10.4.6.1 Growing public sector cloud adoption to boost market
    • 10.4.7 VIETNAM
      • 10.4.7.1 High demand from telecom and manufacturing sectors to impact market
    • 10.4.8 INDIA
      • 10.4.8.1 Growing number of MLOps startups and initiatives to propel market growth
    • 10.4.9 REST OF ASIA PACIFIC
  • 10.5 MIDDLE EAST & AFRICA
    • 10.5.1 MIDDLE EAST & AFRICA: MLOPS MARKET DRIVERS
    • 10.5.2 MIDDLE EAST & AFRICA: REGULATIONS
      • 10.5.2.1 Israeli Privacy Protection Regulations (Data Security), 5777-2017
      • 10.5.2.2 Cloud Computing Framework
      • 10.5.2.3 GDPR Applicability in the Kingdom of Saudi Arabia (KSA)
      • 10.5.2.4 Protection of Personal Information Act
    • TABLE 104 MIDDLE EAST & AFRICA: MLOPS MARKET, BY COMPONENT, 2018-2021 (USD MILLION)
    • TABLE 105 MIDDLE EAST & AFRICA: MLOPS MARKET, BY COMPONENT, 2022-2027 (USD MILLION)
    • TABLE 106 MIDDLE EAST & AFRICA: MLOPS MARKET, BY SERVICE, 2018-2021 (USD MILLION)
    • TABLE 107 MIDDLE EAST & AFRICA: MLOPS MARKET, BY SERVICE, 2022-2027 (USD MILLION)
    • TABLE 108 MIDDLE EAST & AFRICA: MLOPS MARKET, BY DEPLOYMENT MODE, 2018-2021 (USD MILLION)
    • TABLE 109 MIDDLE EAST & AFRICA: MLOPS MARKET, BY DEPLOYMENT MODE, 2022-2027 (USD MILLION)
    • TABLE 110 MIDDLE EAST & AFRICA: MLOPS MARKET, BY ORGANIZATION SIZE, 2018-2021 (USD MILLION)
    • TABLE 111 MIDDLE EAST & AFRICA: MLOPS MARKET, BY ORGANIZATION SIZE, 2022-2027 (USD MILLION)
    • TABLE 112 MIDDLE EAST & AFRICA: MLOPS MARKET, BY VERTICAL, 2018-2021 (USD MILLION)
    • TABLE 113 MIDDLE EAST & AFRICA: MLOPS MARKET, BY VERTICAL, 2022-2027 (USD MILLION)
    • TABLE 114 MIDDLE EAST & AFRICA: MLOPS MARKET, BY COUNTRY, 2018-2021 (USD MILLION)
    • TABLE 115 MIDDLE EAST & AFRICA: MLOPS MARKET, BY COUNTRY, 2022-2027 (USD MILLION)
    • 10.5.3 MIDDLE EAST
      • 10.5.3.1 Rising demand for innovative technologies to impact market
    • 10.5.4 SOUTH AFRICA
      • 10.5.4.1 Government measures to create awareness of advanced technologies to boost demand for MLOps
    • 10.5.5 REST OF MIDDLE EAST & AFRICA
  • 10.6 LATIN AMERICA
    • 10.6.1 LATIN AMERICA: MLOPS MARKET DRIVERS
    • 10.6.2 LATIN AMERICA: REGULATIONS
      • 10.6.2.1 Brazil Data Protection Law
    • TABLE 116 LATIN AMERICA: MLOPS MARKET, BY COMPONENT, 2018-2021 (USD MILLION)
    • TABLE 117 LATIN AMERICA: MLOPS MARKET, BY COMPONENT, 2022-2027 (USD MILLION)
    • TABLE 118 LATIN AMERICA: MLOPS MARKET, BY SERVICE, 2018-2021 (USD MILLION)
    • TABLE 119 LATIN AMERICA: MLOPS MARKET, BY SERVICE, 2022-2027 (USD MILLION)
    • TABLE 120 LATIN AMERICA: MLOPS MARKET, BY DEPLOYMENT MODE, 2018-2021 (USD MILLION)
    • TABLE 121 LATIN AMERICA: MLOPS MARKET, BY DEPLOYMENT MODE, 2022-2027 (USD MILLION)
    • TABLE 122 LATIN AMERICA: MLOPS MARKET, BY ORGANIZATION SIZE, 2018-2021 (USD MILLION)
    • TABLE 123 LATIN AMERICA: MLOPS MARKET, BY ORGANIZATION SIZE, 2022-2027 (USD MILLION)
    • TABLE 124 LATIN AMERICA: MLOPS MARKET, BY VERTICAL, 2018-2021 (USD MILLION)
    • TABLE 125 LATIN AMERICA: MLOPS MARKET, BY VERTICAL, 2022-2027 (USD MILLION)
    • TABLE 126 LATIN AMERICA: MLOPS MARKET, BY COUNTRY, 2018-2021 (USD MILLION)
    • TABLE 127 LATIN AMERICA: MLOPS MARKET, BY COUNTRY, 2022-2027 (USD MILLION)
    • 10.6.3 BRAZIL
      • 10.6.3.1 Security and theft protection regulations to drive market growth
    • 10.6.4 MEXICO
      • 10.6.4.1 Government support for adoption of emerging technologies to drive demand for MLOps
    • 10.6.5 REST OF LATIN AMERICA

11 COMPETITIVE LANDSCAPE

  • 11.1 OVERVIEW
  • 11.2 STRATEGIES OF KEY PLAYERS
    • TABLE 128 OVERVIEW OF STRATEGIES ADOPTED BY KEY PLAYERS IN MLOPS MARKET
  • 11.3 REVENUE ANALYSIS
    • FIGURE 37 REVENUE ANALYSIS FOR KEY COMPANIES, 2018-2021
  • 11.4 MARKET SHARE ANALYSIS
    • FIGURE 38 MLOPS MARKET SHARE ANALYSIS FOR KEY PLAYERS IN 2022
    • TABLE 129 MLOPS MARKET: DEGREE OF COMPETITION
  • 11.5 COMPANY EVALUATION QUADRANT
    • 11.5.1 STARS
    • 11.5.2 EMERGING LEADERS
    • 11.5.3 PERVASIVE PLAYERS
    • 11.5.4 PARTICIPANTS
    • FIGURE 39 KEY MLOPS MARKET PLAYERS, COMPANY EVALUATION MATRIX, 2022
  • 11.6 STARTUP/SME EVALUATION MATRIX
    • 11.6.1 PROGRESSIVE COMPANIES
    • 11.6.2 RESPONSIVE COMPANIES
    • 11.6.3 DYNAMIC COMPANIES
    • 11.6.4 STARTING BLOCKS
    • FIGURE 40 MLOPS MARKET EVALUATION MATRIX FOR STARTUPS/SMES, 2022
  • 11.7 COMPETITIVE BENCHMARKING
    • TABLE 130 MLOPS MARKET: KEY STARTUPS/SMES
    • TABLE 131 MLOPS MARKET: COMPETITIVE BENCHMARKING OF KEY PLAYERS (STARTUPS/SMES)
    • TABLE 132 MLOPS MARKET: COMPETITIVE BENCHMARKING OF KEY PLAYERS (STARTUPS/SMES)
  • 11.8 COMPETITIVE SCENARIO
    • 11.8.1 PRODUCT LAUNCHES
    • TABLE 133 PRODUCT LAUNCHES, 2018-2022
    • 11.8.2 DEALS
    • TABLE 134 DEALS, 2018-2022
    • 11.8.3 OTHERS
    • TABLE 135 OTHERS, 2019-2020

12 COMPANY PROFILES

  • 12.1 MAJOR PLAYERS
  • (Business Overview, Products, Solutions & Services offered, Recent Developments, MnM View)**
    • 12.1.1 HPE
    • TABLE 136 HPE: BUSINESS OVERVIEW
    • FIGURE 41 HPE: FINANCIAL OVERVIEW
    • TABLE 137 HPE: PRODUCTS OFFERED
    • TABLE 138 HPE: PRODUCT LAUNCHES
    • TABLE 139 HPE: DEALS
    • 12.1.2 IBM
    • TABLE 140 IBM: BUSINESS OVERVIEW
    • FIGURE 42 IBM: FINANCIAL OVERVIEW
    • TABLE 141 IBM: PRODUCTS OFFERED
    • TABLE 142 IBM: PRODUCT LAUNCHES
    • TABLE 143 IBM: DEALS
    • 12.1.3 ALTERYX
    • TABLE 144 ALTERYX: BUSINESS OVERVIEW
    • FIGURE 43 ALTERYX: FINANCIAL OVERVIEW
    • TABLE 145 ALTERYX: PRODUCTS OFFERED
    • TABLE 146 ALTERYX: PRODUCT LAUNCHES
    • TABLE 147 ALTERYX: DEALS
    • TABLE 148 ALTERYX: OTHERS
    • 12.1.4 GOOGLE
    • TABLE 149 GOOGLE: BUSINESS OVERVIEW
    • FIGURE 44 GOOGLE: COMPANY SNAPSHOT
    • TABLE 150 GOOGLE: PRODUCTS OFFERED
    • TABLE 151 GOOGLE: PRODUCT LAUNCHES AND ENHANCEMENTS
    • TABLE 152 GOOGLE: DEALS
    • 12.1.5 GAVS TECHNOLOGIES
    • TABLE 153 GAVS TECHNOLOGIES: BUSINESS OVERVIEW
    • TABLE 154 GAVS TECHNOLOGIES: PRODUCTS OFFERED
    • TABLE 155 GAVS TECHNOLOGIES: DEALS
    • 12.1.6 DATAROBOT
    • TABLE 156 DATAROBOT: BUSINESS OVERVIEW
    • TABLE 157 DATAROBOT: PRODUCTS OFFERED
    • TABLE 158 DATAROBOT: PRODUCT LAUNCHES AND ENHANCEMENTS
    • TABLE 159 DATAROBOT: DEALS
    • 12.1.7 CLOUDERA
    • TABLE 160 CLOUDERA
    • TABLE 161 CLOUDERA: PRODUCTS OFFERED
    • TABLE 162 CLOUDERA: PRODUCT LAUNCHES AND ENHANCEMENTS
    • TABLE 163 CLOUDERA: DEALS
    • 12.1.8 AWS
    • TABLE 164 AWS: BUSINESS OVERVIEW
    • FIGURE 45 AWS: COMPANY SNAPSHOT
    • TABLE 165 AWS: PRODUCTS OFFERED
    • TABLE 166 AWS: PRODUCT LAUNCHES AND ENHANCEMENTS
    • TABLE 167 AWS: DEALS
  • *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
    • 12.2.1 DOMINO DATA LAB
    • 12.2.2 VALOHAI
    • 12.2.3 H2O.AI
    • 12.2.4 MLFLOW
    • 12.2.5 NEPTUNE.AI
    • 12.2.6 COMET
    • 12.2.7 SPARKCOGNITION
    • 12.2.8 HOPSWORKS
    • 12.2.9 DATATRON
    • 12.2.10 WEIGHTS & BIASES
    • 12.2.11 KATONIC.AI
    • 12.2.12 MODZY
    • 12.2.13 IGUAZIO
    • 12.2.14 TELIOLABS
    • 12.2.15 CLEARML
    • 12.2.16 AKIRA.AI
    • 12.2.17 BLAIZE

13 ADJACENT AND RELATED MARKETS

  • 13.1 INTRODUCTION
  • 13.2 ARTIFICIAL INTELLIGENCE MARKET - GLOBAL FORECAST TO 2027
    • 13.2.1 MARKET DEFINITION
    • 13.2.2 MARKET OVERVIEW
    • 13.2.3 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING
    • TABLE 168 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2016-2021 (USD BILLION)
    • TABLE 169 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2022-2027 (USD BILLION)
    • 13.2.4 ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY
    • TABLE 170 ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2016-2021 (USD BILLION)
    • TABLE 171 ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2022-2027 (USD BILLION)
    • 13.2.5 ARTIFICIAL INTELLIGENCE MARKET, BY DEPLOYMENT MODE
    • TABLE 172 ARTIFICIAL INTELLIGENCE MARKET, BY DEPLOYMENT MODE, 2016-2021 (USD BILLION)
    • TABLE 173 ARTIFICIAL INTELLIGENCE MARKET, BY DEPLOYMENT MODE, 2022-2027 (USD BILLION)
    • 13.2.6 ARTIFICIAL INTELLIGENCE MARKET, BY ORGANIZATION SIZE
    • TABLE 174 ARTIFICIAL INTELLIGENCE MARKET, BY ORGANIZATION, 2016-2021 (USD BILLION)
    • TABLE 175 ARTIFICIAL INTELLIGENCE MARKET, BY ORGANIZATION, 2022-2027 (USD BILLION)
    • 13.2.7 ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION
    • TABLE 176 ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2016-2021 (USD BILLION)
    • TABLE 177 ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2022-2027 (USD BILLION)
    • 13.2.8 ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL
    • TABLE 178 ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2016-2021 (USD BILLION)
    • TABLE 179 ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2022-2027 (USD BILLION)
    • 13.2.9 ARTIFICIAL INTELLIGENCE MARKET, BY REGION
    • TABLE 180 ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016-2021 (USD BILLION)
    • TABLE 181 ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022-2027 (USD BILLION)
  • 13.3 AI GOVERNANCE MARKET - GLOBAL FORECAST TO 2026
    • 13.3.1 MARKET DEFINITION
    • 13.3.2 MARKET OVERVIEW
    • 13.3.3 AI GOVERNANCE MARKET, BY COMPONENT
    • TABLE 182 AI GOVERNANCE MARKET SIZE, BY COMPONENT, 2020-2026 (USD MILLION)
    • 13.3.4 AI GOVERNANCE MARKET, BY DEPLOYMENT MODE
    • TABLE 183 AI GOVERNANCE MARKET SIZE, BY DEPLOYMENT MODE, 2020-2026 (USD MILLION)
    • 13.3.5 AI GOVERNANCE MARKET, BY ORGANIZATION SIZE
    • TABLE 184 AI GOVERNANCE MARKET SIZE, BY ORGANIZATION SIZE, 2020-2026 (USD MILLION)
    • 13.3.6 AI GOVERNANCE MARKET, BY VERTICAL
    • TABLE 185 AI GOVERNANCE MARKET SIZE, BY VERTICAL, 2020-2026 (USD MILLION)
    • 13.3.7 AI GOVERNANCE MARKET, BY REGION
    • TABLE 186 AI GOVERNANCE MARKET SIZE, BY REGION, 2020-2026 (USD MILLION)

14 APPENDIX

  • 14.1 DISCUSSION GUIDE
  • 14.2 KNOWLEDGESTORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
  • 14.3 CUSTOMIZATION OPTIONS
  • 14.4 RELATED REPORTS
  • 14.5 AUTHOR DETAILS
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