Global Machine Learning Operations (MLOps) Platform Supply, Demand and Key Producers, 2023-2029

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Published Date: 02 Jan 2024

Category: Service & Software

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Description
Table of Contents
Table of Figures
Research Methodology
Companies Mentioned
Related Reports
Product Tags

Description

The global Machine Learning Operations (MLOps) Platform market size is expected to reach $ million by 2029, rising at a market growth of % CAGR during the forecast period (2023-2029).

This report studies the global Machine Learning Operations (MLOps) Platform demand, key companies, and key regions.

This report is a detailed and comprehensive analysis of the world market for Machine Learning Operations (MLOps) Platform, and provides market size (US$ million) and Year-over-Year (YoY) growth, considering 2022 as the base year. This report explores demand trends and competition, as well as details the characteristics of Machine Learning Operations (MLOps) Platform that contribute to its increasing demand across many markets.

Highlights and key features of the study
Global Machine Learning Operations (MLOps) Platform total market, 2018-2029, (USD Million)
Global Machine Learning Operations (MLOps) Platform total market by region & country, CAGR, 2018-2029, (USD Million)
U.S. VS China: Machine Learning Operations (MLOps) Platform total market, key domestic companies and share, (USD Million)
Global Machine Learning Operations (MLOps) Platform revenue by player and market share 2018-2023, (USD Million)
Global Machine Learning Operations (MLOps) Platform total market by Type, CAGR, 2018-2029, (USD Million)
Global Machine Learning Operations (MLOps) Platform total market by Application, CAGR, 2018-2029, (USD Million).

This reports profiles major players in the global Machine Learning Operations (MLOps) Platform market based on the following parameters – company overview, revenue, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include IBM, DataRobot, SAS, Microsoft, Amazon, Google, Dataiku, Databricks and HPE, etc.

This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.

Stakeholders would have ease in decision-making through various strategy matrices used in analyzing the World Machine Learning Operations (MLOps) Platform market.

Detailed Segmentation:
Each section contains quantitative market data including market by value (US$ Millions), by player, by regions, by Type, and by Application. Data is given for the years 2018-2029 by year with 2022 as the base year, 2023 as the estimate year, and 2024-2029 as the forecast year.

Global Machine Learning Operations (MLOps) Platform Market, By Region:
    United States
    China
    Europe
    Japan
    South Korea
    ASEAN
    India
    Rest of World

Global Machine Learning Operations (MLOps) Platform Market, Segmentation by Type
    On-premise
    Cloud
    Others

Global Machine Learning Operations (MLOps) Platform Market, Segmentation by Application
    BFSI
    Healthcare
    Retail
    Manufacturing
    Public Sector
    Others

Companies Profiled:
    IBM
    DataRobot
    SAS
    Microsoft
    Amazon
    Google
    Dataiku
    Databricks
    HPE
    Lguazio
    ClearML
    Modzy
    Comet
    Cloudera
    Paperpace
    Valohai

Key Questions Answered
1. How big is the global Machine Learning Operations (MLOps) Platform market?
2. What is the demand of the global Machine Learning Operations (MLOps) Platform market?
3. What is the year over year growth of the global Machine Learning Operations (MLOps) Platform market?
4. What is the total value of the global Machine Learning Operations (MLOps) Platform market?
5. Who are the major players in the global Machine Learning Operations (MLOps) Platform market?

Table of Contents

1 Supply Summary
    1.1 Machine Learning Operations (MLOps) Platform Introduction
    1.2 World Machine Learning Operations (MLOps) Platform Market Size & Forecast (2018 & 2022 & 2029)
    1.3 World Machine Learning Operations (MLOps) Platform Total Market by Region (by Headquarter Location)
        1.3.1 World Machine Learning Operations (MLOps) Platform Market Size by Region (2018-2029), (by Headquarter Location)
        1.3.2 United States Machine Learning Operations (MLOps) Platform Market Size (2018-2029)
        1.3.3 China Machine Learning Operations (MLOps) Platform Market Size (2018-2029)
        1.3.4 Europe Machine Learning Operations (MLOps) Platform Market Size (2018-2029)
        1.3.5 Japan Machine Learning Operations (MLOps) Platform Market Size (2018-2029)
        1.3.6 South Korea Machine Learning Operations (MLOps) Platform Market Size (2018-2029)
        1.3.7 ASEAN Machine Learning Operations (MLOps) Platform Market Size (2018-2029)
        1.3.8 India Machine Learning Operations (MLOps) Platform Market Size (2018-2029)
    1.4 Market Drivers, Restraints and Trends
        1.4.1 Machine Learning Operations (MLOps) Platform Market Drivers
        1.4.2 Factors Affecting Demand
        1.4.3 Machine Learning Operations (MLOps) Platform Major Market Trends

2 Demand Summary
    2.1 World Machine Learning Operations (MLOps) Platform Consumption Value (2018-2029)
    2.2 World Machine Learning Operations (MLOps) Platform Consumption Value by Region
        2.2.1 World Machine Learning Operations (MLOps) Platform Consumption Value by Region (2018-2023)
        2.2.2 World Machine Learning Operations (MLOps) Platform Consumption Value Forecast by Region (2024-2029)
    2.3 United States Machine Learning Operations (MLOps) Platform Consumption Value (2018-2029)
    2.4 China Machine Learning Operations (MLOps) Platform Consumption Value (2018-2029)
    2.5 Europe Machine Learning Operations (MLOps) Platform Consumption Value (2018-2029)
    2.6 Japan Machine Learning Operations (MLOps) Platform Consumption Value (2018-2029)
    2.7 South Korea Machine Learning Operations (MLOps) Platform Consumption Value (2018-2029)
    2.8 ASEAN Machine Learning Operations (MLOps) Platform Consumption Value (2018-2029)
    2.9 India Machine Learning Operations (MLOps) Platform Consumption Value (2018-2029)

3 World Machine Learning Operations (MLOps) Platform Companies Competitive Analysis
    3.1 World Machine Learning Operations (MLOps) Platform Revenue by Player (2018-2023)
    3.2 Industry Rank and Concentration Rate (CR)
        3.2.1 Global Machine Learning Operations (MLOps) Platform Industry Rank of Major Players
        3.2.2 Global Concentration Ratios (CR4) for Machine Learning Operations (MLOps) Platform in 2022
        3.2.3 Global Concentration Ratios (CR8) for Machine Learning Operations (MLOps) Platform in 2022
    3.3 Machine Learning Operations (MLOps) Platform Company Evaluation Quadrant
    3.4 Machine Learning Operations (MLOps) Platform Market: Overall Company Footprint Analysis
        3.4.1 Machine Learning Operations (MLOps) Platform Market: Region Footprint
        3.4.2 Machine Learning Operations (MLOps) Platform Market: Company Product Type Footprint
        3.4.3 Machine Learning Operations (MLOps) Platform Market: Company Product Application Footprint
    3.5 Competitive Environment
        3.5.1 Historical Structure of the Industry
        3.5.2 Barriers of Market Entry
        3.5.3 Factors of Competition
    3.6 Mergers, Acquisitions Activity

4 United States VS China VS Rest of the World (by Headquarter Location)
    4.1 United States VS China: Machine Learning Operations (MLOps) Platform Revenue Comparison (by Headquarter Location)
        4.1.1 United States VS China: Machine Learning Operations (MLOps) Platform Market Size Comparison (2018 & 2022 & 2029) (by Headquarter Location)
        4.1.2 United States VS China: Machine Learning Operations (MLOps) Platform Revenue Market Share Comparison (2018 & 2022 & 2029)
    4.2 United States Based Companies VS China Based Companies: Machine Learning Operations (MLOps) Platform Consumption Value Comparison
        4.2.1 United States VS China: Machine Learning Operations (MLOps) Platform Consumption Value Comparison (2018 & 2022 & 2029)
        4.2.2 United States VS China: Machine Learning Operations (MLOps) Platform Consumption Value Market Share Comparison (2018 & 2022 & 2029)
    4.3 United States Based Machine Learning Operations (MLOps) Platform Companies and Market Share, 2018-2023
        4.3.1 United States Based Machine Learning Operations (MLOps) Platform Companies, Headquarters (States, Country)
        4.3.2 United States Based Companies Machine Learning Operations (MLOps) Platform Revenue, (2018-2023)
    4.4 China Based Companies Machine Learning Operations (MLOps) Platform Revenue and Market Share, 2018-2023
        4.4.1 China Based Machine Learning Operations (MLOps) Platform Companies, Company Headquarters (Province, Country)
        4.4.2 China Based Companies Machine Learning Operations (MLOps) Platform Revenue, (2018-2023)
    4.5 Rest of World Based Machine Learning Operations (MLOps) Platform Companies and Market Share, 2018-2023
        4.5.1 Rest of World Based Machine Learning Operations (MLOps) Platform Companies, Headquarters (States, Country)
        4.5.2 Rest of World Based Companies Machine Learning Operations (MLOps) Platform Revenue, (2018-2023)

5 Market Analysis by Type
    5.1 World Machine Learning Operations (MLOps) Platform Market Size Overview by Type: 2018 VS 2022 VS 2029
    5.2 Segment Introduction by Type
        5.2.1 On-premise
        5.2.2 Cloud
        5.2.3 Others
    5.3 Market Segment by Type
        5.3.1 World Machine Learning Operations (MLOps) Platform Market Size by Type (2018-2023)
        5.3.2 World Machine Learning Operations (MLOps) Platform Market Size by Type (2024-2029)
        5.3.3 World Machine Learning Operations (MLOps) Platform Market Size Market Share by Type (2018-2029)

6 Market Analysis by Application
    6.1 World Machine Learning Operations (MLOps) Platform Market Size Overview by Application: 2018 VS 2022 VS 2029
    6.2 Segment Introduction by Application
        6.2.1 BFSI
        6.2.2 Healthcare
        6.2.3 Retail
        6.2.4 Manufacturing
        6.2.5 Manufacturing
        6.2.6 Others
    6.3 Market Segment by Application
        6.3.1 World Machine Learning Operations (MLOps) Platform Market Size by Application (2018-2023)
        6.3.2 World Machine Learning Operations (MLOps) Platform Market Size by Application (2024-2029)
        6.3.3 World Machine Learning Operations (MLOps) Platform Market Size by Application (2018-2029)

7 Company Profiles
    7.1 IBM
        7.1.1 IBM Details
        7.1.2 IBM Major Business
        7.1.3 IBM Machine Learning Operations (MLOps) Platform Product and Services
        7.1.4 IBM Machine Learning Operations (MLOps) Platform Revenue, Gross Margin and Market Share (2018-2023)
        7.1.5 IBM Recent Developments/Updates
        7.1.6 IBM Competitive Strengths & Weaknesses
    7.2 DataRobot
        7.2.1 DataRobot Details
        7.2.2 DataRobot Major Business
        7.2.3 DataRobot Machine Learning Operations (MLOps) Platform Product and Services
        7.2.4 DataRobot Machine Learning Operations (MLOps) Platform Revenue, Gross Margin and Market Share (2018-2023)
        7.2.5 DataRobot Recent Developments/Updates
        7.2.6 DataRobot Competitive Strengths & Weaknesses
    7.3 SAS
        7.3.1 SAS Details
        7.3.2 SAS Major Business
        7.3.3 SAS Machine Learning Operations (MLOps) Platform Product and Services
        7.3.4 SAS Machine Learning Operations (MLOps) Platform Revenue, Gross Margin and Market Share (2018-2023)
        7.3.5 SAS Recent Developments/Updates
        7.3.6 SAS Competitive Strengths & Weaknesses
    7.4 Microsoft
        7.4.1 Microsoft Details
        7.4.2 Microsoft Major Business
        7.4.3 Microsoft Machine Learning Operations (MLOps) Platform Product and Services
        7.4.4 Microsoft Machine Learning Operations (MLOps) Platform Revenue, Gross Margin and Market Share (2018-2023)
        7.4.5 Microsoft Recent Developments/Updates
        7.4.6 Microsoft Competitive Strengths & Weaknesses
    7.5 Amazon
        7.5.1 Amazon Details
        7.5.2 Amazon Major Business
        7.5.3 Amazon Machine Learning Operations (MLOps) Platform Product and Services
        7.5.4 Amazon Machine Learning Operations (MLOps) Platform Revenue, Gross Margin and Market Share (2018-2023)
        7.5.5 Amazon Recent Developments/Updates
        7.5.6 Amazon Competitive Strengths & Weaknesses
    7.6 Google
        7.6.1 Google Details
        7.6.2 Google Major Business
        7.6.3 Google Machine Learning Operations (MLOps) Platform Product and Services
        7.6.4 Google Machine Learning Operations (MLOps) Platform Revenue, Gross Margin and Market Share (2018-2023)
        7.6.5 Google Recent Developments/Updates
        7.6.6 Google Competitive Strengths & Weaknesses
    7.7 Dataiku
        7.7.1 Dataiku Details
        7.7.2 Dataiku Major Business
        7.7.3 Dataiku Machine Learning Operations (MLOps) Platform Product and Services
        7.7.4 Dataiku Machine Learning Operations (MLOps) Platform Revenue, Gross Margin and Market Share (2018-2023)
        7.7.5 Dataiku Recent Developments/Updates
        7.7.6 Dataiku Competitive Strengths & Weaknesses
    7.8 Databricks
        7.8.1 Databricks Details
        7.8.2 Databricks Major Business
        7.8.3 Databricks Machine Learning Operations (MLOps) Platform Product and Services
        7.8.4 Databricks Machine Learning Operations (MLOps) Platform Revenue, Gross Margin and Market Share (2018-2023)
        7.8.5 Databricks Recent Developments/Updates
        7.8.6 Databricks Competitive Strengths & Weaknesses
    7.9 HPE
        7.9.1 HPE Details
        7.9.2 HPE Major Business
        7.9.3 HPE Machine Learning Operations (MLOps) Platform Product and Services
        7.9.4 HPE Machine Learning Operations (MLOps) Platform Revenue, Gross Margin and Market Share (2018-2023)
        7.9.5 HPE Recent Developments/Updates
        7.9.6 HPE Competitive Strengths & Weaknesses
    7.10 Lguazio
        7.10.1 Lguazio Details
        7.10.2 Lguazio Major Business
        7.10.3 Lguazio Machine Learning Operations (MLOps) Platform Product and Services
        7.10.4 Lguazio Machine Learning Operations (MLOps) Platform Revenue, Gross Margin and Market Share (2018-2023)
        7.10.5 Lguazio Recent Developments/Updates
        7.10.6 Lguazio Competitive Strengths & Weaknesses
    7.11 ClearML
        7.11.1 ClearML Details
        7.11.2 ClearML Major Business
        7.11.3 ClearML Machine Learning Operations (MLOps) Platform Product and Services
        7.11.4 ClearML Machine Learning Operations (MLOps) Platform Revenue, Gross Margin and Market Share (2018-2023)
        7.11.5 ClearML Recent Developments/Updates
        7.11.6 ClearML Competitive Strengths & Weaknesses
    7.12 Modzy
        7.12.1 Modzy Details
        7.12.2 Modzy Major Business
        7.12.3 Modzy Machine Learning Operations (MLOps) Platform Product and Services
        7.12.4 Modzy Machine Learning Operations (MLOps) Platform Revenue, Gross Margin and Market Share (2018-2023)
        7.12.5 Modzy Recent Developments/Updates
        7.12.6 Modzy Competitive Strengths & Weaknesses
    7.13 Comet
        7.13.1 Comet Details
        7.13.2 Comet Major Business
        7.13.3 Comet Machine Learning Operations (MLOps) Platform Product and Services
        7.13.4 Comet Machine Learning Operations (MLOps) Platform Revenue, Gross Margin and Market Share (2018-2023)
        7.13.5 Comet Recent Developments/Updates
        7.13.6 Comet Competitive Strengths & Weaknesses
    7.14 Cloudera
        7.14.1 Cloudera Details
        7.14.2 Cloudera Major Business
        7.14.3 Cloudera Machine Learning Operations (MLOps) Platform Product and Services
        7.14.4 Cloudera Machine Learning Operations (MLOps) Platform Revenue, Gross Margin and Market Share (2018-2023)
        7.14.5 Cloudera Recent Developments/Updates
        7.14.6 Cloudera Competitive Strengths & Weaknesses
    7.15 Paperpace
        7.15.1 Paperpace Details
        7.15.2 Paperpace Major Business
        7.15.3 Paperpace Machine Learning Operations (MLOps) Platform Product and Services
        7.15.4 Paperpace Machine Learning Operations (MLOps) Platform Revenue, Gross Margin and Market Share (2018-2023)
        7.15.5 Paperpace Recent Developments/Updates
        7.15.6 Paperpace Competitive Strengths & Weaknesses
    7.16 Valohai
        7.16.1 Valohai Details
        7.16.2 Valohai Major Business
        7.16.3 Valohai Machine Learning Operations (MLOps) Platform Product and Services
        7.16.4 Valohai Machine Learning Operations (MLOps) Platform Revenue, Gross Margin and Market Share (2018-2023)
        7.16.5 Valohai Recent Developments/Updates
        7.16.6 Valohai Competitive Strengths & Weaknesses

8 Industry Chain Analysis
    8.1 Machine Learning Operations (MLOps) Platform Industry Chain
    8.2 Machine Learning Operations (MLOps) Platform Upstream Analysis
    8.3 Machine Learning Operations (MLOps) Platform Midstream Analysis
    8.4 Machine Learning Operations (MLOps) Platform Downstream Analysis

9 Research Findings and Conclusion

10 Appendix
    10.1 Methodology
    10.2 Research Process and Data Source
    10.3 Disclaimer

Table of Figures

List of Tables
    Table 1. World Machine Learning Operations (MLOps) Platform Revenue by Region (2018, 2022 and 2029) & (USD Million), (by Headquarter Location)
    Table 2. World Machine Learning Operations (MLOps) Platform Revenue by Region (2018-2023) & (USD Million), (by Headquarter Location)
    Table 3. World Machine Learning Operations (MLOps) Platform Revenue by Region (2024-2029) & (USD Million), (by Headquarter Location)
    Table 4. World Machine Learning Operations (MLOps) Platform Revenue Market Share by Region (2018-2023), (by Headquarter Location)
    Table 5. World Machine Learning Operations (MLOps) Platform Revenue Market Share by Region (2024-2029), (by Headquarter Location)
    Table 6. Major Market Trends
    Table 7. World Machine Learning Operations (MLOps) Platform Consumption Value Growth Rate Forecast by Region (2018 & 2022 & 2029) & (USD Million)
    Table 8. World Machine Learning Operations (MLOps) Platform Consumption Value by Region (2018-2023) & (USD Million)
    Table 9. World Machine Learning Operations (MLOps) Platform Consumption Value Forecast by Region (2024-2029) & (USD Million)
    Table 10. World Machine Learning Operations (MLOps) Platform Revenue by Player (2018-2023) & (USD Million)
    Table 11. Revenue Market Share of Key Machine Learning Operations (MLOps) Platform Players in 2022
    Table 12. World Machine Learning Operations (MLOps) Platform Industry Rank of Major Player, Based on Revenue in 2022
    Table 13. Global Machine Learning Operations (MLOps) Platform Company Evaluation Quadrant
    Table 14. Head Office of Key Machine Learning Operations (MLOps) Platform Player
    Table 15. Machine Learning Operations (MLOps) Platform Market: Company Product Type Footprint
    Table 16. Machine Learning Operations (MLOps) Platform Market: Company Product Application Footprint
    Table 17. Machine Learning Operations (MLOps) Platform Mergers & Acquisitions Activity
    Table 18. United States VS China Machine Learning Operations (MLOps) Platform Market Size Comparison, (2018 & 2022 & 2029) & (USD Million)
    Table 19. United States VS China Machine Learning Operations (MLOps) Platform Consumption Value Comparison, (2018 & 2022 & 2029) & (USD Million)
    Table 20. United States Based Machine Learning Operations (MLOps) Platform Companies, Headquarters (States, Country)
    Table 21. United States Based Companies Machine Learning Operations (MLOps) Platform Revenue, (2018-2023) & (USD Million)
    Table 22. United States Based Companies Machine Learning Operations (MLOps) Platform Revenue Market Share (2018-2023)
    Table 23. China Based Machine Learning Operations (MLOps) Platform Companies, Headquarters (Province, Country)
    Table 24. China Based Companies Machine Learning Operations (MLOps) Platform Revenue, (2018-2023) & (USD Million)
    Table 25. China Based Companies Machine Learning Operations (MLOps) Platform Revenue Market Share (2018-2023)
    Table 26. Rest of World Based Machine Learning Operations (MLOps) Platform Companies, Headquarters (States, Country)
    Table 27. Rest of World Based Companies Machine Learning Operations (MLOps) Platform Revenue, (2018-2023) & (USD Million)
    Table 28. Rest of World Based Companies Machine Learning Operations (MLOps) Platform Revenue Market Share (2018-2023)
    Table 29. World Machine Learning Operations (MLOps) Platform Market Size by Type, (USD Million), 2018 & 2022 & 2029
    Table 30. World Machine Learning Operations (MLOps) Platform Market Size by Type (2018-2023) & (USD Million)
    Table 31. World Machine Learning Operations (MLOps) Platform Market Size by Type (2024-2029) & (USD Million)
    Table 32. World Machine Learning Operations (MLOps) Platform Market Size by Application, (USD Million), 2018 & 2022 & 2029
    Table 33. World Machine Learning Operations (MLOps) Platform Market Size by Application (2018-2023) & (USD Million)
    Table 34. World Machine Learning Operations (MLOps) Platform Market Size by Application (2024-2029) & (USD Million)
    Table 35. IBM Basic Information, Area Served and Competitors
    Table 36. IBM Major Business
    Table 37. IBM Machine Learning Operations (MLOps) Platform Product and Services
    Table 38. IBM Machine Learning Operations (MLOps) Platform Revenue, Gross Margin and Market Share (2018-2023) & (USD Million)
    Table 39. IBM Recent Developments/Updates
    Table 40. IBM Competitive Strengths & Weaknesses
    Table 41. DataRobot Basic Information, Area Served and Competitors
    Table 42. DataRobot Major Business
    Table 43. DataRobot Machine Learning Operations (MLOps) Platform Product and Services
    Table 44. DataRobot Machine Learning Operations (MLOps) Platform Revenue, Gross Margin and Market Share (2018-2023) & (USD Million)
    Table 45. DataRobot Recent Developments/Updates
    Table 46. DataRobot Competitive Strengths & Weaknesses
    Table 47. SAS Basic Information, Area Served and Competitors
    Table 48. SAS Major Business
    Table 49. SAS Machine Learning Operations (MLOps) Platform Product and Services
    Table 50. SAS Machine Learning Operations (MLOps) Platform Revenue, Gross Margin and Market Share (2018-2023) & (USD Million)
    Table 51. SAS Recent Developments/Updates
    Table 52. SAS Competitive Strengths & Weaknesses
    Table 53. Microsoft Basic Information, Area Served and Competitors
    Table 54. Microsoft Major Business
    Table 55. Microsoft Machine Learning Operations (MLOps) Platform Product and Services
    Table 56. Microsoft Machine Learning Operations (MLOps) Platform Revenue, Gross Margin and Market Share (2018-2023) & (USD Million)
    Table 57. Microsoft Recent Developments/Updates
    Table 58. Microsoft Competitive Strengths & Weaknesses
    Table 59. Amazon Basic Information, Area Served and Competitors
    Table 60. Amazon Major Business
    Table 61. Amazon Machine Learning Operations (MLOps) Platform Product and Services
    Table 62. Amazon Machine Learning Operations (MLOps) Platform Revenue, Gross Margin and Market Share (2018-2023) & (USD Million)
    Table 63. Amazon Recent Developments/Updates
    Table 64. Amazon Competitive Strengths & Weaknesses
    Table 65. Google Basic Information, Area Served and Competitors
    Table 66. Google Major Business
    Table 67. Google Machine Learning Operations (MLOps) Platform Product and Services
    Table 68. Google Machine Learning Operations (MLOps) Platform Revenue, Gross Margin and Market Share (2018-2023) & (USD Million)
    Table 69. Google Recent Developments/Updates
    Table 70. Google Competitive Strengths & Weaknesses
    Table 71. Dataiku Basic Information, Area Served and Competitors
    Table 72. Dataiku Major Business
    Table 73. Dataiku Machine Learning Operations (MLOps) Platform Product and Services
    Table 74. Dataiku Machine Learning Operations (MLOps) Platform Revenue, Gross Margin and Market Share (2018-2023) & (USD Million)
    Table 75. Dataiku Recent Developments/Updates
    Table 76. Dataiku Competitive Strengths & Weaknesses
    Table 77. Databricks Basic Information, Area Served and Competitors
    Table 78. Databricks Major Business
    Table 79. Databricks Machine Learning Operations (MLOps) Platform Product and Services
    Table 80. Databricks Machine Learning Operations (MLOps) Platform Revenue, Gross Margin and Market Share (2018-2023) & (USD Million)
    Table 81. Databricks Recent Developments/Updates
    Table 82. Databricks Competitive Strengths & Weaknesses
    Table 83. HPE Basic Information, Area Served and Competitors
    Table 84. HPE Major Business
    Table 85. HPE Machine Learning Operations (MLOps) Platform Product and Services
    Table 86. HPE Machine Learning Operations (MLOps) Platform Revenue, Gross Margin and Market Share (2018-2023) & (USD Million)
    Table 87. HPE Recent Developments/Updates
    Table 88. HPE Competitive Strengths & Weaknesses
    Table 89. Lguazio Basic Information, Area Served and Competitors
    Table 90. Lguazio Major Business
    Table 91. Lguazio Machine Learning Operations (MLOps) Platform Product and Services
    Table 92. Lguazio Machine Learning Operations (MLOps) Platform Revenue, Gross Margin and Market Share (2018-2023) & (USD Million)
    Table 93. Lguazio Recent Developments/Updates
    Table 94. Lguazio Competitive Strengths & Weaknesses
    Table 95. ClearML Basic Information, Area Served and Competitors
    Table 96. ClearML Major Business
    Table 97. ClearML Machine Learning Operations (MLOps) Platform Product and Services
    Table 98. ClearML Machine Learning Operations (MLOps) Platform Revenue, Gross Margin and Market Share (2018-2023) & (USD Million)
    Table 99. ClearML Recent Developments/Updates
    Table 100. ClearML Competitive Strengths & Weaknesses
    Table 101. Modzy Basic Information, Area Served and Competitors
    Table 102. Modzy Major Business
    Table 103. Modzy Machine Learning Operations (MLOps) Platform Product and Services
    Table 104. Modzy Machine Learning Operations (MLOps) Platform Revenue, Gross Margin and Market Share (2018-2023) & (USD Million)
    Table 105. Modzy Recent Developments/Updates
    Table 106. Modzy Competitive Strengths & Weaknesses
    Table 107. Comet Basic Information, Area Served and Competitors
    Table 108. Comet Major Business
    Table 109. Comet Machine Learning Operations (MLOps) Platform Product and Services
    Table 110. Comet Machine Learning Operations (MLOps) Platform Revenue, Gross Margin and Market Share (2018-2023) & (USD Million)
    Table 111. Comet Recent Developments/Updates
    Table 112. Comet Competitive Strengths & Weaknesses
    Table 113. Cloudera Basic Information, Area Served and Competitors
    Table 114. Cloudera Major Business
    Table 115. Cloudera Machine Learning Operations (MLOps) Platform Product and Services
    Table 116. Cloudera Machine Learning Operations (MLOps) Platform Revenue, Gross Margin and Market Share (2018-2023) & (USD Million)
    Table 117. Cloudera Recent Developments/Updates
    Table 118. Cloudera Competitive Strengths & Weaknesses
    Table 119. Paperpace Basic Information, Area Served and Competitors
    Table 120. Paperpace Major Business
    Table 121. Paperpace Machine Learning Operations (MLOps) Platform Product and Services
    Table 122. Paperpace Machine Learning Operations (MLOps) Platform Revenue, Gross Margin and Market Share (2018-2023) & (USD Million)
    Table 123. Paperpace Recent Developments/Updates
    Table 124. Valohai Basic Information, Area Served and Competitors
    Table 125. Valohai Major Business
    Table 126. Valohai Machine Learning Operations (MLOps) Platform Product and Services
    Table 127. Valohai Machine Learning Operations (MLOps) Platform Revenue, Gross Margin and Market Share (2018-2023) & (USD Million)
    Table 128. Global Key Players of Machine Learning Operations (MLOps) Platform Upstream (Raw Materials)
    Table 129. Machine Learning Operations (MLOps) Platform Typical Customers
List of Figure
    Figure 1. Machine Learning Operations (MLOps) Platform Picture
    Figure 2. World Machine Learning Operations (MLOps) Platform Total Market Size: 2018 & 2022 & 2029, (USD Million)
    Figure 3. World Machine Learning Operations (MLOps) Platform Total Market Size (2018-2029) & (USD Million)
    Figure 4. World Machine Learning Operations (MLOps) Platform Revenue Market Share by Region (2018, 2022 and 2029) & (USD Million) , (by Headquarter Location)
    Figure 5. World Machine Learning Operations (MLOps) Platform Revenue Market Share by Region (2018-2029), (by Headquarter Location)
    Figure 6. United States Based Company Machine Learning Operations (MLOps) Platform Revenue (2018-2029) & (USD Million)
    Figure 7. China Based Company Machine Learning Operations (MLOps) Platform Revenue (2018-2029) & (USD Million)
    Figure 8. Europe Based Company Machine Learning Operations (MLOps) Platform Revenue (2018-2029) & (USD Million)
    Figure 9. Japan Based Company Machine Learning Operations (MLOps) Platform Revenue (2018-2029) & (USD Million)
    Figure 10. South Korea Based Company Machine Learning Operations (MLOps) Platform Revenue (2018-2029) & (USD Million)
    Figure 11. ASEAN Based Company Machine Learning Operations (MLOps) Platform Revenue (2018-2029) & (USD Million)
    Figure 12. India Based Company Machine Learning Operations (MLOps) Platform Revenue (2018-2029) & (USD Million)
    Figure 13. Machine Learning Operations (MLOps) Platform Market Drivers
    Figure 14. Factors Affecting Demand
    Figure 15. World Machine Learning Operations (MLOps) Platform Consumption Value (2018-2029) & (USD Million)
    Figure 16. World Machine Learning Operations (MLOps) Platform Consumption Value Market Share by Region (2018-2029)
    Figure 17. United States Machine Learning Operations (MLOps) Platform Consumption Value (2018-2029) & (USD Million)
    Figure 18. China Machine Learning Operations (MLOps) Platform Consumption Value (2018-2029) & (USD Million)
    Figure 19. Europe Machine Learning Operations (MLOps) Platform Consumption Value (2018-2029) & (USD Million)
    Figure 20. Japan Machine Learning Operations (MLOps) Platform Consumption Value (2018-2029) & (USD Million)
    Figure 21. South Korea Machine Learning Operations (MLOps) Platform Consumption Value (2018-2029) & (USD Million)
    Figure 22. ASEAN Machine Learning Operations (MLOps) Platform Consumption Value (2018-2029) & (USD Million)
    Figure 23. India Machine Learning Operations (MLOps) Platform Consumption Value (2018-2029) & (USD Million)
    Figure 24. Producer Shipments of Machine Learning Operations (MLOps) Platform by Player Revenue ($MM) and Market Share (%): 2022
    Figure 25. Global Four-firm Concentration Ratios (CR4) for Machine Learning Operations (MLOps) Platform Markets in 2022
    Figure 26. Global Four-firm Concentration Ratios (CR8) for Machine Learning Operations (MLOps) Platform Markets in 2022
    Figure 27. United States VS China: Machine Learning Operations (MLOps) Platform Revenue Market Share Comparison (2018 & 2022 & 2029)
    Figure 28. United States VS China: Machine Learning Operations (MLOps) Platform Consumption Value Market Share Comparison (2018 & 2022 & 2029)
    Figure 29. World Machine Learning Operations (MLOps) Platform Market Size by Type, (USD Million), 2018 & 2022 & 2029
    Figure 30. World Machine Learning Operations (MLOps) Platform Market Size Market Share by Type in 2022
    Figure 31. On-premise
    Figure 32. Cloud
    Figure 33. Others
    Figure 34. World Machine Learning Operations (MLOps) Platform Market Size Market Share by Type (2018-2029)
    Figure 35. World Machine Learning Operations (MLOps) Platform Market Size by Application, (USD Million), 2018 & 2022 & 2029
    Figure 36. World Machine Learning Operations (MLOps) Platform Market Size Market Share by Application in 2022
    Figure 37. BFSI
    Figure 38. Healthcare
    Figure 39. Retail
    Figure 40. Manufacturing
    Figure 41. Public Sector
    Figure 42. Others
    Figure 43. Machine Learning Operations (MLOps) Platform Industrial Chain
    Figure 44. Methodology
    Figure 45. Research Process and Data Source

Research Methodology

Client Requirements

Review and analyze client requirements

Discussion of all the project requirements and queries

Flexibility Check

Project Feasibility Analysis

Finalizing tentative research programme

Structuring project proposal with scope, timeline, and costs

Analyzing Market Dynamics

Determination of key drivers, restraints, challenge, and opportunity

Identifies market needs and trends

Market Size Estimation & Forecast

Estimation of historical data based on secondary and primary data

Anticipating market recast by assigning weightage to market forces (drivers, restraints, opportunities)

Freezing historical and forecast market size estimations based on evolution, trends, outlook, and strategies

Consideration of geography, region-specific product/service demand for region segments

Consideration of product utilization rates, product demand outlook for segments by application or end-user.

Data Source

Secondary Source
Data collections from annual reports, presentations,associations, journals, analyst reports, paid database, press releases, blogs, newsletters,and GIR repositories.

Primary Source
Research discussion with manufacturers, distributors, suppliers, end user, industry experts to verify insights.

Validation and
triangulation of
secondary and primary source.

Collection of data

Cumulating and collating the essential qualitative and quantitative data

Generation of report in client requested format by research analysts

Reviews by expert analysts

Final quality check

Clarifying queries

Receiving feedback

Ensuring satisfaction

01 Identification of data

This step involves identification of several primary and secondary data research sources, including Global Info Research's internal data sources. The primary sources consist of in-depth discussions and interviews with policy makers, industry experts, and data evaluators, whereas secondary sources include a thorough study of market journals, press releases, annual reports, and government and non-government agencies websites.
02 Evaluation of Market Dynamic

This phase includes a detailed evaluation of several factors that are likely to affect the market dynamics. It involves a comprehensive assessment of major market pain points, drivers, and trends. It also comprises a detailed study of research plans and methodology.
03 Collection of Data

This process consists of gathering data, accessing proprietary databases, and reaching out to key industry participants that operate in the market across the value chain. It also involves studying several patterns in the historical data and comparing it with the current scenario.
04 Collaboration of Data

This stage involves the validation of data and arrival at actual statistics, and evolution of the market over the years. It entails the study and analyzes various segments and verticals of the market. An impact analysis is also performed to observe which factors will affect the market in the next few years.
05 Verification and Analysis

This is the final stage, which involves both quantity and quality checks. Although the process of data verification is an integral part of the research process, all data points and statistics and figures are re-checked to uphold their authenticity and validity.

Companies Mentioned

IBM
DataRobot
SAS
Microsoft
Amazon
Google
Dataiku
Databricks
HPE
Lguazio
ClearML
Modzy
Comet
Cloudera
Paperpace
Valohai

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