
2023-2029 Global Machine Learning Operations (MLOps) Industry Research & Trends Analysis Report
The report classifies the business vertical into various segments based on components, voltage, end-user scope, and regional division. A thorough analysis of each segment with respect to their market share, growth rate, and revenue contribution forms a major part of the study.
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According to the research report published by Market IntelliX, the global market for Machine Learning Operations (MLOps) should grow from US$ 545.5 million in 2022 to US$ 9066.7 million by 2029, with a CAGR of 41.8% for the period of 2023-2029.
The key vendors providing Machine Learning Operations (MLOps) worldwide are IBM, DataRobot, SAS, Microsoft, Amazon, Google, Dataiku, Databricks, and others. The top five vendors together hold over 45% of the market share, with the largest producer being IBM with 10% of the market share. The major regions offering machine learning operations globally are North America, Europe, China, and the Middle East. In terms of their product categories, on-premise type have the highest market share at over 55%, followed by cloud MLOps at 35%. In terms of its applications, BFSI is its top application area, with over 25% market share, followed by the public sector and manufacturing.
MLOps is the process of taking an experimental Machine Learning model into a production system. The word is a compound of “Machine Learning” and the continuous development practice of DevOps in the software field. Machine Learning models are tested and developed in isolated experimental systems. When an algorithm is ready to be launched, MLOps is practiced between Data Scientists, DevOps, and Machine Learning engineers to transition the algorithm to production systems. Similar to DevOps or DataOps approaches, MLOps seeks to increase automation and improve the quality of production models, while also focusing on business and regulatory requirements. While MLOps started as a set of best practices, it is slowly evolving into an independent approach to ML lifecycle management. MLOps applies to the entire lifecycle - from integrating with model generation (software development lifecycle, continuous integration/continuous delivery), orchestration, and deployment, to health, diagnostics, governance, and business metrics.
This report aims to provide a comprehensive study of the global market for Machine Learning Operations (MLOps). Report Highlights:
(1) Global Machine Learning Operations (MLOps) market size (value), history data from 2018-2022 and forecast data from 2023 to 2029.
(2) Global Machine Learning Operations (MLOps) market competitive situation, revenue and market share, from 2018 to 2022.
(3) China Machine Learning Operations (MLOps) market competitive situation, revenue and market share, from 2018 to 2022.
(4) Global Machine Learning Operations (MLOps) segment by region (or country), key regions cover the United States, Europe, Japan, South Korea, Southeast Asia and India, etc.
(5) Global Machine Learning Operations (MLOps) segment by type and by application and regional segment by type and by application.
(6) Machine Learning Operations (MLOps) industry supply chain, upstream, midstream and downstream analysis.
Market segment by regions, regional analysis covers
North America (United States, Canada and Mexico)
Europe (Germany, France, UK, Russia, Italy and Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia, Australia and Rest of Asia-Pacific)
South America (Brazil, Rest of South America)
Middle East & Africa
Market segment by type, covers
On-premise
Cloud
Others
Market segment by application, can be divided into
BFSI
Healthcare
Retail
Manufacturing
Public Sector
Others
Market segment by players, this report covers
IBM
DataRobot
SAS
Microsoft
Amazon
Dataiku
Databricks
HPE
Lguazio
ClearML
Modzy
Comet
Cloudera
Paperpace
Valohai
1 Market Overview
1.1 Product Overview and Scope of Machine Learning Operations (MLOps)
1.2 Global Machine Learning Operations (MLOps) Market Size and Forecast
1.3 China Machine Learning Operations (MLOps) Market Size and Forecast
1.4 China Market Percentage in Global
1.4.1 By Revenue, China Machine Learning Operations (MLOps) Share in Global Market, 2018-2029
1.4.2 Machine Learning Operations (MLOps) Market Size: China VS Global, 2018-2029
1.5 Machine Learning Operations (MLOps) Market Dynamics
1.5.1 Machine Learning Operations (MLOps) Market Drivers
1.5.2 Machine Learning Operations (MLOps) Market Restraints
1.5.3 Machine Learning Operations (MLOps) Industry Trends
1.5.4 Machine Learning Operations (MLOps) Industry Policy
2 Global Competitive Situation by Company
2.1 Global Machine Learning Operations (MLOps) Revenue by Company (2018-2023)
2.2 Global Machine Learning Operations (MLOps) Participants, Market Position (Tier 1, Tier 2 and Tier 3)
2.3 Global Machine Learning Operations (MLOps) Concentration Ratio
2.4 Global Machine Learning Operations (MLOps) Mergers & Acquisitions, Expansion Plans
2.5 Global Machine Learning Operations (MLOps) Manufacturers Product Type
3 China Competitive Situation by Company
3.1 China Machine Learning Operations (MLOps) Revenue by Company (2018-2023)
3.2 China Machine Learning Operations (MLOps) Machine Learning Operations (MLOps) Participants, Market Position (Tier 1, Tier 2 and Tier 3)
3.3 China Machine Learning Operations (MLOps), Revenue Percentage of Local Players VS Foreign Manufacturers (2018-2023)
4 Industry Chain Analysis
4.1 Machine Learning Operations (MLOps) Industry Chain
4.2 Machine Learning Operations (MLOps) Upstream Analysis
4.3 Machine Learning Operations (MLOps) Midstream Analysis
4.4 Machine Learning Operations (MLOps) Downstream Analysis
5 Sights by Type
5.1 Machine Learning Operations (MLOps) Classification
5.1.1 On-premise
5.1.2 Cloud
5.1.3 Others
5.2 By Type, Global Machine Learning Operations (MLOps) Market Size & CAGR, 2018 VS 2022 VS 2029
5.3 By Type, Global Machine Learning Operations (MLOps) Revenue, 2018-2029
6 Sights by Application
6.1 Machine Learning Operations (MLOps) Segment by Application
6.1.1 BFSI
6.1.2 Healthcare
6.1.3 Retail
6.1.4 Manufacturing
6.1.5 Public Sector
6.1.6 Others
6.2 By Application, Global Machine Learning Operations (MLOps) Market Size & CAGR, 2018 VS 2022 VS 2029
6.3 By Application, Global Machine Learning Operations (MLOps) Revenue, 2018-2029
7 Sales Sights by Region
7.1 By Region, Global Machine Learning Operations (MLOps) Market Size, 2018 VS 2022 VS 2029
7.2 By Region, Global Machine Learning Operations (MLOps) Market Size, 2018-2029
7.3 North America
7.3.1 North America Machine Learning Operations (MLOps) Market Size & Forecasts, 2018-2029
7.3.2 By Country, North America Machine Learning Operations (MLOps) Market Size Market Share
7.4 Europe
7.4.1 Europe Machine Learning Operations (MLOps) Market Size & Forecasts, 2018-2029
7.4.2 By Country, Europe Machine Learning Operations (MLOps) Market Size Market Share
7.5 Asia Pacific
7.5.1 Asia Pacific Machine Learning Operations (MLOps) Market Size & Forecasts, 2018-2029
7.5.2 By Country/Region, Asia Pacific Machine Learning Operations (MLOps) Market Size Market Share
7.6 South America
7.6.1 South America Machine Learning Operations (MLOps) Market Size & Forecasts, 2018-2029
7.6.2 By Country, South America Machine Learning Operations (MLOps) Market Size Market Share
7.7 Middle East & Africa
8 Sights by Country Level
8.1 By Country, Global Machine Learning Operations (MLOps) Market Size & CAGR,2018 VS 2022 VS 2029
8.2 By Country, Global Machine Learning Operations (MLOps) Market Size, 2018-2029
8.3 U.S.
8.3.1 U.S. Machine Learning Operations (MLOps) Market Size, 2018-2029
8.3.2 By Company, U.S. Machine Learning Operations (MLOps) Revenue Market Share, 2018-2023
8.3.3 By Type, U.S. Machine Learning Operations (MLOps) Revenue Market Share, 2022 VS 2029
8.3.4 By Application, U.S. Machine Learning Operations (MLOps) Revenue Market Share, 2022 VS 2029
8.4 Europe
8.4.1 Europe Machine Learning Operations (MLOps) Market Size, 2018-2029
8.4.2 By Company, Europe Machine Learning Operations (MLOps) Revenue Market Share, 2018-2023
8.4.3 By Type, Europe Machine Learning Operations (MLOps) Revenue Market Share, 2022 VS 2029
8.4.4 By Application, Europe Machine Learning Operations (MLOps) Revenue Market Share, 2022 VS 2029
8.5 China
8.5.1 China Machine Learning Operations (MLOps) Market Size, 2018-2029
8.5.2 By Company, China Machine Learning Operations (MLOps) Revenue Market Share, 2018-2023
8.5.3 By Type, China Machine Learning Operations (MLOps) Revenue Market Share, 2022 VS 2029
8.5.4 By Application, China Machine Learning Operations (MLOps) Revenue Market Share, 2022 VS 2029
8.6 Japan
8.6.1 Japan Machine Learning Operations (MLOps) Market Size, 2018-2029
8.6.2 By Company, Japan Machine Learning Operations (MLOps) Revenue Market Share, 2018-2023
8.6.3 By Type, Japan Machine Learning Operations (MLOps) Revenue Market Share, 2022 VS 2029
8.6.4 By Application, Japan Machine Learning Operations (MLOps) Revenue Market Share, 2022 VS 2029
8.7 South Korea
8.7.1 South Korea Machine Learning Operations (MLOps) Market Size, 2018-2029
8.7.2 By Company, South Korea Machine Learning Operations (MLOps) Revenue Market Share, 2018-2023
8.7.3 By Type, South Korea Machine Learning Operations (MLOps) Revenue Market Share, 2022 VS 2029
8.7.4 By Application, South Korea Machine Learning Operations (MLOps) Revenue Market Share, 2022 VS 2029
8.8 Southeast Asia
8.8.1 Southeast Asia Machine Learning Operations (MLOps) Market Size, 2018-2029
8.8.2 By Company, Southeast Asia Machine Learning Operations (MLOps) Revenue Market Share, 2018-2023
8.8.3 By Type, Southeast Asia Machine Learning Operations (MLOps) Revenue Market Share, 2022 VS 2029
8.8.4 By Application, Southeast Asia Machine Learning Operations (MLOps) Revenue Market Share, 2022 VS 2029
8.9 India
8.9.1 India Machine Learning Operations (MLOps) Market Size, 2018-2029
8.9.2 By Company, India Machine Learning Operations (MLOps) Revenue Market Share, 2018-2023
8.9.3 By Type, India Machine Learning Operations (MLOps) Revenue Market Share, 2022 VS 2029
8.9.4 By Application, India Machine Learning Operations (MLOps) Revenue Market Share, 2022 VS 2029
8.10 Middle East & Asia
8.10.1 Middle East & Asia Machine Learning Operations (MLOps) Market Size, 2018-2029
8.10.2 By Company, Middle East & Asia Machine Learning Operations (MLOps) Revenue Market Share, 2018-2023
8.10.3 By Type, Middle East & Asia Machine Learning Operations (MLOps) Revenue Market Share, 2022 VS 2029
8.10.4 By Application, Middle East & Asia Machine Learning Operations (MLOps) Revenue Market Share, 2022 VS 2029
9 Global Manufacturers Profile
9.1 IBM
9.1.1 IBM Company Information, Head Office, Market Area and Industry Position
9.1.2 IBM Company Profile and Main Business
9.1.3 IBM Machine Learning Operations (MLOps) Models, Specifications and Application
9.1.4 IBM Machine Learning Operations (MLOps) Revenue and Gross Margin, 2018-2023
9.1.5 IBM Recent Developments
9.2 DataRobot
9.2.1 DataRobot Company Information, Head Office, Market Area and Industry Position
9.2.2 DataRobot Company Profile and Main Business
9.2.3 DataRobot Machine Learning Operations (MLOps) Models, Specifications and Application
9.2.4 DataRobot Machine Learning Operations (MLOps) Revenue and Gross Margin, 2018-2023
9.2.5 DataRobot Recent Developments
9.3 SAS
9.3.1 SAS Company Information, Head Office, Market Area and Industry Position
9.3.2 SAS Company Profile and Main Business
9.3.3 SAS Machine Learning Operations (MLOps) Models, Specifications and Application
9.3.4 SAS Machine Learning Operations (MLOps) Revenue and Gross Margin, 2018-2023
9.3.5 SAS Recent Developments
9.4 Microsoft
9.4.1 Microsoft Company Information, Head Office, Market Area and Industry Position
9.4.2 Microsoft Company Profile and Main Business
9.4.3 Microsoft Machine Learning Operations (MLOps) Models, Specifications and Application
9.4.4 Microsoft Machine Learning Operations (MLOps) Revenue and Gross Margin, 2018-2023
9.4.5 Microsoft Recent Developments
9.5 Amazon
9.5.1 Amazon Company Information, Head Office, Market Area and Industry Position
9.5.2 Amazon Company Profile and Main Business
9.5.3 Amazon Machine Learning Operations (MLOps) Models, Specifications and Application
9.5.4 Amazon Machine Learning Operations (MLOps) Revenue and Gross Margin, 2018-2023
9.5.5 Amazon Recent Developments
9.6 Google
9.6.1 Google Company Information, Head Office, Market Area and Industry Position
9.6.2 Google Company Profile and Main Business
9.6.3 Google Machine Learning Operations (MLOps) Models, Specifications and Application
9.6.4 Google Machine Learning Operations (MLOps) Revenue and Gross Margin, 2018-2023
9.6.5 Google Recent Developments
9.7 Dataiku
9.7.1 Dataiku Company Information, Head Office, Market Area and Industry Position
9.7.2 Dataiku Company Profile and Main Business
9.7.3 Dataiku Machine Learning Operations (MLOps) Models, Specifications and Application
9.7.4 Dataiku Machine Learning Operations (MLOps) Revenue and Gross Margin, 2018-2023
9.7.5 Dataiku Recent Developments
9.8 Databricks
9.8.1 Databricks Company Information, Head Office, Market Area and Industry Position
9.8.2 Databricks Company Profile and Main Business
9.8.3 Databricks Machine Learning Operations (MLOps) Models, Specifications and Application
9.8.4 Databricks Machine Learning Operations (MLOps) Revenue and Gross Margin, 2018-2023
9.8.5 Databricks Recent Developments
9.9 HPE
9.9.1 HPE Company Information, Head Office, Market Area and Industry Position
9.9.2 HPE Company Profile and Main Business
9.9.3 HPE Machine Learning Operations (MLOps) Models, Specifications and Application
9.9.4 HPE Machine Learning Operations (MLOps) Revenue and Gross Margin, 2018-2023
9.9.5 HPE Recent Developments
9.10 Lguazio
9.10.1 Lguazio Company Information, Head Office, Market Area and Industry Position
9.10.2 Lguazio Company Profile and Main Business
9.10.3 Lguazio Machine Learning Operations (MLOps) Models, Specifications and Application
9.10.4 Lguazio Machine Learning Operations (MLOps) Revenue and Gross Margin, 2018-2023
9.10.5 Lguazio Recent Developments
9.11 ClearML
9.11.1 ClearML Company Information, Head Office, Market Area and Industry Position
9.11.2 ClearML Company Profile and Main Business
9.11.3 ClearML Machine Learning Operations (MLOps) Models, Specifications and Application
9.11.4 ClearML Machine Learning Operations (MLOps) Revenue and Gross Margin, 2018-2023
9.11.5 ClearML Recent Developments
9.12 Modzy
9.12.1 Modzy Company Information, Head Office, Market Area and Industry Position
9.12.2 Modzy Company Profile and Main Business
9.12.3 Modzy Machine Learning Operations (MLOps) Models, Specifications and Application
9.12.4 Modzy Machine Learning Operations (MLOps) Revenue and Gross Margin, 2018-2023
9.12.5 Modzy Recent Developments
9.13 Comet
9.13.1 Comet Company Information, Head Office, Market Area and Industry Position
9.13.2 Comet Company Profile and Main Business
9.13.3 Comet Machine Learning Operations (MLOps) Models, Specifications and Application
9.13.4 Comet Machine Learning Operations (MLOps) Revenue and Gross Margin, 2018-2023
9.13.5 Comet Recent Developments
9.14 Cloudera
9.14.1 Cloudera Company Information, Head Office, Market Area and Industry Position
9.14.2 Cloudera Company Profile and Main Business
9.14.3 Cloudera Machine Learning Operations (MLOps) Models, Specifications and Application
9.14.4 Cloudera Machine Learning Operations (MLOps) Revenue and Gross Margin, 2018-2023
9.14.5 Cloudera Recent Developments
9.15 Paperpace
9.15.1 Paperpace Company Information, Head Office, Market Area and Industry Position
9.15.2 Paperpace Company Profile and Main Business
9.15.3 Paperpace Machine Learning Operations (MLOps) Models, Specifications and Application
9.15.4 Paperpace Machine Learning Operations (MLOps) Revenue and Gross Margin, 2018-2023
9.15.5 Paperpace Recent Developments
9.16 Valohai
9.16.1 Valohai Company Information, Head Office, Market Area and Industry Position
9.16.2 Valohai Company Profile and Main Business
9.16.3 Valohai Machine Learning Operations (MLOps) Models, Specifications and Application
9.16.4 Valohai Machine Learning Operations (MLOps) Revenue and Gross Margin, 2018-2023
9.16.5 Valohai Recent Developments
10 Conclusion
11 Appendix
11.1 Research Methodology
11.2 Data Source
11.2.1 Secondary Sources
11.2.2 Primary Sources
11.3 Market Estimation Model
11.4 Disclaimer
Tables & Figures:
Table 1. Machine Learning Operations (MLOps) Market Size & CAGR: China VS Global, (US$ Million), 2018-2029
Table 2. Machine Learning Operations (MLOps) Market Restraints
Table 3. Machine Learning Operations (MLOps) Market Trends
Table 4. Machine Learning Operations (MLOps) Industry Policy
Table 5. Global Machine Learning Operations (MLOps) Revenue by Company (2018-2023) & (US$ million)
Table 6. Global Machine Learning Operations (MLOps) Revenue Market Share by Company (2018-2023)
Table 7. Global Machine Learning Operations (MLOps) Manufacturers Market Concentration Ratio (CR3 and HHI)
Table 8. Global Machine Learning Operations (MLOps) Mergers & Acquisitions, Expansion Plans
Table 9. Global Machine Learning Operations (MLOps) Manufacturers Product Type
Table 10. China Machine Learning Operations (MLOps) Revenue by Company (2018-2023) & (US$ million)
Table 11. China Machine Learning Operations (MLOps) Revenue Market Share by Company (2018-2023)
Table 12. Global Key Players of Machine Learning Operations (MLOps) Upstream (Raw Materials)
Table 13. Global Machine Learning Operations (MLOps) Typical Customers
Table 14. Machine Learning Operations (MLOps) Typical Distributors
Table 15. By Type, Global Machine Learning Operations (MLOps) Revenue & CAGR, 2018 VS 2022 VS 2029, US$ Million
Table 16. By Application, Global Machine Learning Operations (MLOps) Revenue & CAGR, 2018 VS 2022 VS 2029, US$ Million
Table 17. By Region, Global Machine Learning Operations (MLOps) Market Size, 2018 VS 2022 VS 2029, US$ Million
Table 18. By Region, Global Machine Learning Operations (MLOps) Revenue, 2018-2029, US$ Million
Table 19. By Country, Global Machine Learning Operations (MLOps) Revenue & CAGR,2018 VS 2022 VS 2029, US$ Million
Table 20. By Country, Global Machine Learning Operations (MLOps) Revenue, 2018-2029, US$ Million
Table 21. By Country, Global Machine Learning Operations (MLOps) Revenue Market Share, 2018-2029
Table 22. IBM Company Information, Head Office, Market Area and Industry Position
Table 23. IBM Company Profile and Main Business
Table 24. IBM Machine Learning Operations (MLOps) Models, Specifications and Application
Table 25. IBM Machine Learning Operations (MLOps) Revenue and Gross Margin, 2018-2023
Table 26. IBM Recent Developments
Table 27. DataRobot Company Information, Head Office, Market Area and Industry Position
Table 28. DataRobot Company Profile and Main Business
Table 29. DataRobot Machine Learning Operations (MLOps) Models, Specifications and Application
Table 30. DataRobot Machine Learning Operations (MLOps) Revenue and Gross Margin, 2018-2023
Table 31. DataRobot Recent Developments
Table 32. SAS Company Information, Head Office, Market Area and Industry Position
Table 33. SAS Company Profile and Main Business
Table 34. SAS Machine Learning Operations (MLOps) Models, Specifications and Application
Table 35. SAS Machine Learning Operations (MLOps) Revenue and Gross Margin, 2018-2023
Table 36. SAS Recent Developments
Table 37. Microsoft Company Information, Head Office, Market Area and Industry Position
Table 38. Microsoft Company Profile and Main Business
Table 39. Microsoft Machine Learning Operations (MLOps) Models, Specifications and Application
Table 40. Microsoft Machine Learning Operations (MLOps) Revenue and Gross Margin, 2018-2023
Table 41. Microsoft Recent Developments
Table 42. Amazon Company Information, Head Office, Market Area and Industry Position
Table 43. Amazon Company Profile and Main Business
Table 44. Amazon Machine Learning Operations (MLOps) Models, Specifications and Application
Table 45. Amazon Machine Learning Operations (MLOps) Revenue and Gross Margin, 2018-2023
Table 46. Amazon Recent Developments
Table 47. Google Company Information, Head Office, Market Area and Industry Position
Table 48. Google Company Profile and Main Business
Table 49. Google Machine Learning Operations (MLOps) Models, Specifications and Application
Table 50. Google Machine Learning Operations (MLOps) Revenue and Gross Margin, 2018-2023
Table 51. Google Recent Developments
Table 52. Dataiku Company Information, Head Office, Market Area and Industry Position
Table 53. Dataiku Company Profile and Main Business
Table 54. Dataiku Machine Learning Operations (MLOps) Models, Specifications and Application
Table 55. Dataiku Machine Learning Operations (MLOps) Revenue and Gross Margin, 2018-2023
Table 56. Dataiku Recent Developments
Table 57. Databricks Company Information, Head Office, Market Area and Industry Position
Table 58. Databricks Company Profile and Main Business
Table 59. Databricks Machine Learning Operations (MLOps) Models, Specifications and Application
Table 60. Databricks Machine Learning Operations (MLOps) Revenue and Gross Margin, 2018-2023
Table 61. Databricks Recent Developments
Table 62. HPE Company Information, Head Office, Market Area and Industry Position
Table 63. HPE Company Profile and Main Business
Table 64. HPE Machine Learning Operations (MLOps) Models, Specifications and Application
Table 65. HPE Machine Learning Operations (MLOps) Revenue and Gross Margin, 2018-2023
Table 66. HPE Recent Developments
Table 67. Lguazio Company Information, Head Office, Market Area and Industry Position
Table 68. Lguazio Company Profile and Main Business
Table 69. Lguazio Machine Learning Operations (MLOps) Models, Specifications and Application
Table 70. Lguazio Machine Learning Operations (MLOps) Revenue and Gross Margin, 2018-2023
Table 71. Lguazio Recent Developments
Table 72. ClearML Company Information, Head Office, Market Area and Industry Position
Table 73. ClearML Company Profile and Main Business
Table 74. ClearML Machine Learning Operations (MLOps) Models, Specifications and Application
Table 75. ClearML Machine Learning Operations (MLOps) Revenue and Gross Margin, 2018-2023
Table 76. ClearML Recent Developments
Table 77. Modzy Company Information, Head Office, Market Area and Industry Position
Table 78. Modzy Company Profile and Main Business
Table 79. Modzy Machine Learning Operations (MLOps) Models, Specifications and Application
Table 80. Modzy Machine Learning Operations (MLOps) Revenue and Gross Margin, 2018-2023
Table 81. Modzy Recent Developments
Table 82. Comet Company Information, Head Office, Market Area and Industry Position
Table 83. Comet Company Profile and Main Business
Table 84. Comet Machine Learning Operations (MLOps) Models, Specifications and Application
Table 85. Comet Machine Learning Operations (MLOps) Revenue and Gross Margin, 2018-2023
Table 86. Comet Recent Developments
Table 87. Cloudera Company Information, Head Office, Market Area and Industry Position
Table 88. Cloudera Company Profile and Main Business
Table 89. Cloudera Machine Learning Operations (MLOps) Models, Specifications and Application
Table 90. Cloudera Machine Learning Operations (MLOps) Revenue and Gross Margin, 2018-2023
Table 91. Cloudera Recent Developments
Table 92. Paperpace Company Information, Head Office, Market Area and Industry Position
Table 93. Paperpace Company Profile and Main Business
Table 94. Paperpace Machine Learning Operations (MLOps) Models, Specifications and Application
Table 95. Paperpace Machine Learning Operations (MLOps) Revenue and Gross Margin, 2018-2023
Table 96. Paperpace Recent Developments
Table 97. Valohai Company Information, Head Office, Market Area and Industry Position
Table 98. Valohai Company Profile and Main Business
Table 99. Valohai Machine Learning Operations (MLOps) Models, Specifications and Application
Table 100. Valohai Machine Learning Operations (MLOps) Revenue and Gross Margin, 2018-2023
Table 101. Valohai Recent Developments
List of Figure
Figure 1. Machine Learning Operations (MLOps) Picture
Figure 2. Global Machine Learning Operations (MLOps) Industry Market Size and Forecast (US$ million) & (2018-2029)
Figure 3. China Machine Learning Operations (MLOps) Revenue and Forecast (US$ million) & (2018-2029)
Figure 4. 2018-2029 China Machine Learning Operations (MLOps) Market Share of Global
Figure 5. Global Machine Learning Operations (MLOps) Key Participants, Market Share, 2021 VS 2022 VS 2023
Figure 6. Global Machine Learning Operations (MLOps) Market Share by Company, (Tier 1, Tier 2 and Tier 3), 2018-2023
Figure 7. China Machine Learning Operations (MLOps) Key Participants, Market Share, 2021 VS 2022 VS 2023
Figure 8. China Machine Learning Operations (MLOps) Revenue, Domestic VS Import Products, Proportion of China Local Players and Foreign Players, 2018-2023
Figure 9. Machine Learning Operations (MLOps) Industry Chain
Figure 10. On-premise
Figure 11. Cloud
Figure 12. Others
Figure 13. By Type, Global Machine Learning Operations (MLOps) Revenue, 2018-2029, US$ Million
Figure 14. By Type, Global Machine Learning Operations (MLOps) Revenue Market Share, 2018-2029
Figure 15. BFSI
Figure 16. Healthcare
Figure 17. Retail
Figure 18. Manufacturing
Figure 19. Public Sector
Figure 20. Others
Figure 21. By Application, Global Machine Learning Operations (MLOps) Revenue, 2018-2029, US$ Million
Figure 22. By Application, Global Machine Learning Operations (MLOps) Revenue Market Share, 2018-2029
Figure 23. By Region, Global Machine Learning Operations (MLOps) Revenue Market Share, 2018-2029
Figure 24. North America Machine Learning Operations (MLOps) Revenue & Forecasts, 2018-2029, US$ Million
Figure 25. By Country, North America Machine Learning Operations (MLOps) Revenue Market Share, 2018-2023
Figure 26. Europe Machine Learning Operations (MLOps) Revenue & Forecasts, 2018-2029, US$ Million
Figure 27. By Country, Europe Machine Learning Operations (MLOps) Revenue Market Share, 2018-2023
Figure 28. Asia Pacific Machine Learning Operations (MLOps) Revenue & Forecasts, 2018-2029, US$ Million
Figure 29. By Country/Region, Asia Pacific Machine Learning Operations (MLOps) Revenue Market Share, 2018-2023
Figure 30. South America Machine Learning Operations (MLOps) Revenue & Forecasts, 2018-2029, US$ Million
Figure 31. By Country, South America Machine Learning Operations (MLOps) Revenue Market Share, 2018-2023
Figure 32. Middle East & Africa Machine Learning Operations (MLOps) Revenue & Forecasts, 2018-2029, US$ Million
Figure 33. U.S. Machine Learning Operations (MLOps) Revenue, 2018-2029, (US$ Million)
Figure 34. By Company, U.S. Machine Learning Operations (MLOps) Market Share, 2018-2023
Figure 35. By Type, U.S. Machine Learning Operations (MLOps) Revenue Market Share, 2022 VS 2029
Figure 36. By Application, U.S. Machine Learning Operations (MLOps) Revenue Market Share, 2022 VS 2029
Figure 37. Europe Machine Learning Operations (MLOps) Revenue, 2018-2029, (US$ Million)
Figure 38. By Company, Europe Machine Learning Operations (MLOps) Market Share, 2018-2023
Figure 39. By Type, Europe Machine Learning Operations (MLOps) Revenue Market Share, 2022 VS 2029
Figure 40. By Application, Europe Machine Learning Operations (MLOps) Revenue Market Share, 2022 VS 2029
Figure 41. China Machine Learning Operations (MLOps) Revenue, 2018-2029, (US$ Million)
Figure 42. By Company, China Machine Learning Operations (MLOps) Market Share, 2018-2023
Figure 43. By Type, China Machine Learning Operations (MLOps) Revenue Market Share, 2022 VS 2029
Figure 44. By Application, China Machine Learning Operations (MLOps) Revenue Market Share, 2022 VS 2029
Figure 45. Japan Machine Learning Operations (MLOps) Revenue, 2018-2029, (US$ Million)
Figure 46. By Company, Japan Machine Learning Operations (MLOps) Market Share, 2018-2023
Figure 47. By Type, Japan Machine Learning Operations (MLOps) Revenue Market Share, 2022 VS 2029
Figure 48. By Application, Japan Machine Learning Operations (MLOps) Revenue Market Share, 2022 VS 2029
Figure 49. South Korea Machine Learning Operations (MLOps) Revenue, 2018-2029, (US$ Million)
Figure 50. By Company, South Korea Machine Learning Operations (MLOps) Market Share, 2018-2023
Figure 51. By Type, South Korea Machine Learning Operations (MLOps) Revenue Market Share, 2022 VS 2029
Figure 52. By Application, South Korea Machine Learning Operations (MLOps) Revenue Market Share, 2022 VS 2029
Figure 53. Southeast Asia Machine Learning Operations (MLOps) Revenue, 2018-2029, (US$ Million)
Figure 54. By Company, Southeast Asia Machine Learning Operations (MLOps) Market Share, 2018-2023
Figure 55. By Type, Southeast Asia Machine Learning Operations (MLOps) Revenue Market Share, 2022 VS 2029
Figure 56. By Application, Southeast Asia Machine Learning Operations (MLOps) Revenue Market Share, 2022 VS 2029
Figure 57. India Machine Learning Operations (MLOps) Revenue, 2018-2029, (US$ Million)
Figure 58. By Company, India Machine Learning Operations (MLOps) Market Share, 2018-2023
Figure 59. By Type, India Machine Learning Operations (MLOps) Revenue Market Share, 2022 VS 2029
Figure 60. By Application, India Machine Learning Operations (MLOps) Revenue Market Share, 2022 VS 2029
Figure 61. Middle East & Asia Machine Learning Operations (MLOps) Revenue, 2018-2029, (US$ Million)
Figure 62. By Company, Middle East & Asia Machine Learning Operations (MLOps) Market Share, 2018-2023
Figure 63. By Type, Middle East & Asia Machine Learning Operations (MLOps) Revenue Market Share, 2022 VS 2029
Figure 64. By Application, Middle East & Asia Machine Learning Operations (MLOps) Revenue Market Share, 2022 VS 2029
Figure 65. Research Methodology
Figure 66. Breakdown of Primary Interviews
Figure 67. Bottom-up Approaches
Figure 68. Top-down Approaches
Research Methodology:
Machine Learning Operations (MLOps) Market Size Estimation
To estimate market size and trends, we use a combination of top-down and bottom-up methods. This allows us to evaluate the market from various perspectives—by company, region, product type, and end users.
Our estimates are based on actual sales data, excluding any discounts. Segment breakdowns and market shares are calculated using weighted averages based on usage rates and average prices. Regional insights are determined by how widely a product or service is adopted in each area.
Key companies are identified through secondary sources like industry reports and company filings. We then verify revenue estimates and other key data points through primary research, including interviews with industry experts, company executives, and decision-makers.
We take into account all relevant factors that could influence the market and validate our findings with real-world input. Our final insights combine both qualitative and quantitative data to provide a well-rounded view. Please note, these estimates do not account for unexpected changes such as inflation, economic downturns, or policy shifts.
Data Source
Secondary Sources
This study draws on a wide range of secondary sources, including press releases, annual reports, non-profit organizations, industry associations, government agencies, and customs data. We also referred to reputable databases and directories such as Bloomberg, Wind Info, Hoovers, Factiva, Trading Economics, Statista, and others. Additional references include investor presentations, company filings (e.g., SEC), economic data, and documents from regulatory and industry bodies.
These sources were used to gather technical and market-focused insights, identify key players, analyze market segmentation and classification, and track major trends and developments across industries.
Market Size |
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Market Position of Top Company |
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Qualitative Analysis |
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Primary Sources
As part of our primary research, we interviewed a variety of stakeholders from both the supply and demand sides to gather valuable qualitative and quantitative insights.
On the supply side, we spoke with product manufacturers, competitors, industry experts, research institutions, distributors, traders, and raw material suppliers. On the demand side, we engaged with business leaders, marketing and sales heads, technology and innovation directors, supply chain executives, and end users across key organizations.
These conversations helped us better understand market segmentation, pricing, applications, leading players, supply chains, demand trends, industry outlook, and key market dynamics—including risks, opportunities, barriers, and strategic developments.
Key Data Information from Primary Sources
Primary Sources | Parameters | Key Data |
Market Segments(by Application, by Type) |
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Total Market |
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