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 studies and analyses global Machine Learning Operations (MLOps) status and future trends, to help determine the Machine Learning Operations (MLOps) market size of the total market opportunity by Type, by Application, by company, and by region & country. This report is a detailed and comprehensive analysis of the world market for Machine Learning Operations (MLOps), and provides market size (US$ million) and Year-over-Year growth, considering 2022 as the base year.

For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.

To assess the competitive environment within the market including supplier revenue, market share, and company profiles.

Highlights

(1) Global Machine Learning Operations (MLOps) market size, history data 2018-2023, and forecast data 2024-2029, (US$ million)

(2) Global Machine Learning Operations (MLOps) by company, revenue, market share and industry ranking 2018-2023, (US$ million)

(3) China Machine Learning Operations (MLOps) by company, revenue, market share and industry ranking 2018-2023, (US$ million)

(4) Global Machine Learning Operations (MLOps) key consuming regions, consumption value and demand structure

(5) Machine Learning Operations (MLOps) industry chains, upstream, midstream and downstream

Market segment by players, this report covers

IBM

DataRobot

SAS

Microsoft

Amazon

Google

Dataiku

Databricks

HPE

Lguazio

ClearML

Modzy

Comet

Cloudera

Paperpace

Valohai

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 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

Report Includes:

Chapter 1: to describe Machine Learning Operations (MLOps) product scope, global consumption value, China consumption value, development opportunities, challenges, trends, and policies.

Chapter 2: Global Machine Learning Operations (MLOps) market share and ranking of major manufacturers, revenue, 2018-2023

Chapter 3: China Machine Learning Operations (MLOps) market share and ranking of major manufacturers, revenue, 2018-2023

Chapter 4: Machine Learning Operations (MLOps) industry chain, upstream, medium-stream, and downstream.

Chapter 5: Segment by Type, consumption value, percent & CAGR, 2018-2029

Chapter 6: Segment by Application, consumption value, percent & CAGR, 2018-2029

Chapter 7: Segment in regional level, consumption value, percent & CAGR, 2018-2029

Chapter 8: Segment in country level, consumption value, percent & CAGR, 2018-2029

Chapter 9: Company profile, introducing the basic situation of the main companies in the market in detail, including product specifications, application, recent development, revenue, gross margin.

Chapter 10: Conclusions

1 Market Overview

1.1 Machine Learning Operations (MLOps) Definition

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 Percentage in Global Market

1.5 Machine Learning Operations (MLOps) Market Size: China VS Global Growth Rate, 2018-2029

1.6 Machine Learning Operations (MLOps) Market Dynamics

1.6.1 Machine Learning Operations (MLOps) Market Drivers

1.6.2 Machine Learning Operations (MLOps) Market Restraints

1.6.3 Machine Learning Operations (MLOps) Industry Trends

1.6.4 Machine Learning Operations (MLOps) Industry Policy

2 Global Leading Players and Market Share

2.1 By Revenue of Machine Learning Operations (MLOps), Global Market Share 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) Major Companies Product Type

2.6 Head Office and Machine Learning Operations (MLOps) Production Site of Key Manufacturer

3 China Leading Players, Market Share and Ranking

3.1 By Revenue of Machine Learning Operations (MLOps), China Market Share by Company, 2018-2023

3.2 China Machine Learning Operations (MLOps) Participants, Market Position (Tier 1, Tier 2, and Tier 3)

4 Industry Chain Analysis

4.1 Machine Learning Operations (MLOps) Industry Chain

4.2 Machine Learning Operations (MLOps) Upstream Analysis

4.2.1 Machine Learning Operations (MLOps) Core Raw Materials

4.2.2 Main Manufacturers of Machine Learning Operations (MLOps) Core Raw Materials

4.3 Midstream Analysis

4.4 Downstream Analysis

4.5 Machine Learning Operations (MLOps) Production Mode

4.6 Machine Learning Operations (MLOps) Procurement Model

4.7 Machine Learning Operations (MLOps) Industry Sales Model and Sales Channels

4.7.1 Machine Learning Operations (MLOps) Sales Model

4.7.2 Machine Learning Operations (MLOps) Typical Distributors

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) Consumption Value & CAGR, 2018 VS 2022 VS 2029

5.3 By Type, Global Machine Learning Operations (MLOps) Consumption Value, 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) Consumption Value & CAGR, 2018 VS 2022 VS 2029

6.3 By Application, Global Machine Learning Operations (MLOps) Consumption Value, 2018-2029

7 Sales Sights by Region

7.1 By Region, Global Machine Learning Operations (MLOps) Consumption Value, 2018 VS 2022 VS 2029

7.2 By Region, Global Machine Learning Operations (MLOps) Consumption Value, 2018-2029

7.3 North America

7.3.1 North America Machine Learning Operations (MLOps) & 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 Sales 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) Consumption Value, 2018-2029

8.3 U.S.

8.3.1 U.S. Machine Learning Operations (MLOps) Market Size, 2018-2029

8.3.2 By Type, U.S. Machine Learning Operations (MLOps) Consumption Value Market Share, 2022 VS 2029

8.3.3 By Application, U.S. Machine Learning Operations (MLOps) Consumption Value Market Share, 2022 VS 2029

8.4 Europe

8.4.1 Europe Machine Learning Operations (MLOps) Market Size, 2018-2029

8.4.2 By Type, Europe Machine Learning Operations (MLOps) Consumption Value Market Share, 2022 VS 2029

8.4.3 By Application, Europe Machine Learning Operations (MLOps) Consumption Value Market Share, 2022 VS 2029

8.5 China

8.5.1 China Machine Learning Operations (MLOps) Market Size, 2018-2029

8.5.2 By Type, China Machine Learning Operations (MLOps) Consumption Value Market Share, 2022 VS 2029

8.5.3 By Application, China Machine Learning Operations (MLOps) Consumption Value Market Share, 2022 VS 2029

8.6 Japan

8.6.1 Japan Machine Learning Operations (MLOps) Market Size, 2018-2029

8.6.2 By Type, Japan Machine Learning Operations (MLOps) Consumption Value Market Share, 2022 VS 2029

8.6.3 By Application, Japan Machine Learning Operations (MLOps) Consumption Value 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 Type, South Korea Machine Learning Operations (MLOps) Consumption Value Market Share, 2022 VS 2029

8.7.3 By Application, South Korea Machine Learning Operations (MLOps) Consumption Value 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 Type, Southeast Asia Machine Learning Operations (MLOps) Consumption Value Market Share, 2022 VS 2029

8.8.3 By Application, Southeast Asia Machine Learning Operations (MLOps) Consumption Value Market Share, 2022 VS 2029

8.9 India

8.9.1 India Machine Learning Operations (MLOps) Market Size, 2018-2029

8.9.2 By Type, India Machine Learning Operations (MLOps) Consumption Value Market Share, 2022 VS 2029

8.9.3 By Application, India Machine Learning Operations (MLOps) Consumption Value Market Share, 2022 VS 2029

8.10 Middle East & Africa

8.10.1 Middle East & Africa Machine Learning Operations (MLOps) Market Size, 2018-2029

8.10.2 By Type, Middle East & Africa Machine Learning Operations (MLOps) Consumption Value Market Share, 2022 VS 2029

8.10.3 By Application, Middle East & Africa Machine Learning Operations (MLOps) Consumption Value Market Share, 2022 VS 2029

9 Company 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

Table 1. Machine Learning Operations (MLOps) Consumption Value & CAGR: China VS Global, 2018-2029, US$ Million

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, Ranked Based on Revenue in 2022

Table 6. Global Machine Learning Operations (MLOps) Revenue Share by Company, 2018-2023, Ranked by Data of 2022

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) Major Companies Product Type

Table 10. Head Office and Area Served of Key Players

Table 11. China Machine Learning Operations (MLOps) Revenue by Company, 2018-2023, US$ million, Ranked Based on Revenue in 2022

Table 12. China Machine Learning Operations (MLOps) Revenue Market Share by Company, 2018-2023

Table 13. Global Key Players of Machine Learning Operations (MLOps) Upstream (Raw Materials)

Table 14. Global Machine Learning Operations (MLOps) Typical Customers

Table 15. Machine Learning Operations (MLOps) Typical Distributors

Table 16. By Type, Global Machine Learning Operations (MLOps) Consumption Value & CAGR, 2018 VS 2022 VS 2029, US$ Million

Table 17. By Application, Global Machine Learning Operations (MLOps) Consumption Value & CAGR, 2018 VS 2022 VS 2029, US$ Million

Table 18. By Region, Global Machine Learning Operations (MLOps) Consumption Value, 2018 VS 2022 VS 2029, US$ Million

Table 19. By Region, Global Machine Learning Operations (MLOps) Consumption Value, 2018-2029, US$ Million

Table 20. By Country, Global Machine Learning Operations (MLOps) Consumption Value & CAGR, 2018 VS 2022 VS 2029, US$ Million

Table 21. By Country, Global Machine Learning Operations (MLOps) Consumption Value, 2018-2029, US$ Million

Table 22. By Country, Global Machine Learning Operations (MLOps) Consumption Value Market Share, 2018-2029

Table 23. IBM Company Information, Head Office, Market Area and Industry Position

Table 24. IBM Company Profile and Main Business

Table 25. IBM Machine Learning Operations (MLOps) Models, Specifications, and Application

Table 26. IBM Machine Learning Operations (MLOps) Revenue and Gross Margin, US$ Million, 2018-2023

Table 27. IBM Recent Developments

Table 28. DataRobot Company Information, Head Office, Market Area and Industry Position

Table 29. DataRobot Company Profile and Main Business

Table 30. DataRobot Machine Learning Operations (MLOps) Models, Specifications, and Application

Table 31. DataRobot Machine Learning Operations (MLOps) Revenue and Gross Margin, US$ Million, 2018-2023

Table 32. DataRobot Recent Developments

Table 33. SAS Company Information, Head Office, Market Area and Industry Position

Table 34. SAS Company Profile and Main Business

Table 35. SAS Machine Learning Operations (MLOps) Models, Specifications, and Application

Table 36. SAS Machine Learning Operations (MLOps) Revenue and Gross Margin, US$ Million, 2018-2023

Table 37. SAS Recent Developments

Table 38. Microsoft Company Information, Head Office, Market Area and Industry Position

Table 39. Microsoft Company Profile and Main Business

Table 40. Microsoft Machine Learning Operations (MLOps) Models, Specifications, and Application

Table 41. Microsoft Machine Learning Operations (MLOps) Revenue and Gross Margin, US$ Million, 2018-2023

Table 42. Microsoft Recent Developments

Table 43. Amazon Company Information, Head Office, Market Area and Industry Position

Table 44. Amazon Company Profile and Main Business

Table 45. Amazon Machine Learning Operations (MLOps) Models, Specifications, and Application

Table 46. Amazon Machine Learning Operations (MLOps) Revenue and Gross Margin, US$ Million, 2018-2023

Table 47. Amazon Recent Developments

Table 48. Google Company Information, Head Office, Market Area and Industry Position

Table 49. Google Company Profile and Main Business

Table 50. Google Machine Learning Operations (MLOps) Models, Specifications, and Application

Table 51. Google Machine Learning Operations (MLOps) Revenue and Gross Margin, US$ Million, 2018-2023

Table 52. Google Recent Developments

Table 53. Dataiku Company Information, Head Office, Market Area and Industry Position

Table 54. Dataiku Company Profile and Main Business

Table 55. Dataiku Machine Learning Operations (MLOps) Models, Specifications, and Application

Table 56. Dataiku Machine Learning Operations (MLOps) Revenue and Gross Margin, US$ Million, 2018-2023

Table 57. Dataiku Recent Developments

Table 58. Databricks Company Information, Head Office, Market Area and Industry Position

Table 59. Databricks Company Profile and Main Business

Table 60. Databricks Machine Learning Operations (MLOps) Models, Specifications, and Application

Table 61. Databricks Machine Learning Operations (MLOps) Revenue and Gross Margin, US$ Million, 2018-2023

Table 62. Databricks Recent Developments

Table 63. HPE Company Information, Head Office, Market Area and Industry Position

Table 64. HPE Company Profile and Main Business

Table 65. HPE Machine Learning Operations (MLOps) Models, Specifications, and Application

Table 66. HPE Machine Learning Operations (MLOps) Revenue and Gross Margin, US$ Million, 2018-2023

Table 67. HPE Recent Developments

Table 68. Lguazio Company Information, Head Office, Market Area and Industry Position

Table 69. Lguazio Company Profile and Main Business

Table 70. Lguazio Machine Learning Operations (MLOps) Models, Specifications, and Application

Table 71. Lguazio Machine Learning Operations (MLOps) Revenue and Gross Margin, US$ Million, 2018-2023

Table 72. Lguazio Recent Developments

Table 73. ClearML Company Information, Head Office, Market Area and Industry Position

Table 74. ClearML Company Profile and Main Business

Table 75. ClearML Machine Learning Operations (MLOps) Models, Specifications, and Application

Table 76. ClearML Machine Learning Operations (MLOps) Revenue and Gross Margin, US$ Million, 2018-2023

Table 77. ClearML Recent Developments

Table 78. Modzy Company Information, Head Office, Market Area and Industry Position

Table 79. Modzy Company Profile and Main Business

Table 80. Modzy Machine Learning Operations (MLOps) Models, Specifications, and Application

Table 81. Modzy Machine Learning Operations (MLOps) Revenue and Gross Margin, US$ Million, 2018-2023

Table 82. Modzy Recent Developments

Table 83. Comet Company Information, Head Office, Market Area and Industry Position

Table 84. Comet Company Profile and Main Business

Table 85. Comet Machine Learning Operations (MLOps) Models, Specifications, and Application

Table 86. Comet Machine Learning Operations (MLOps) Revenue and Gross Margin, US$ Million, 2018-2023

Table 87. Comet Recent Developments

Table 88. Cloudera Company Information, Head Office, Market Area and Industry Position

Table 89. Cloudera Company Profile and Main Business

Table 90. Cloudera Machine Learning Operations (MLOps) Models, Specifications, and Application

Table 91. Cloudera Machine Learning Operations (MLOps) Revenue and Gross Margin, US$ Million, 2018-2023

Table 92. Cloudera Recent Developments

Table 93. Paperpace Company Information, Head Office, Market Area and Industry Position

Table 94. Paperpace Company Profile and Main Business

Table 95. Paperpace Machine Learning Operations (MLOps) Models, Specifications, and Application

Table 96. Paperpace Machine Learning Operations (MLOps) Revenue and Gross Margin, US$ Million, 2018-2023

Table 97. Paperpace Recent Developments

Table 98. Valohai Company Information, Head Office, Market Area and Industry Position

Table 99. Valohai Company Profile and Main Business

Table 100. Valohai Machine Learning Operations (MLOps) Models, Specifications, and Application

Table 101. Valohai Machine Learning Operations (MLOps) Revenue and Gross Margin, US$ Million, 2018-2023

Table 102. Valohai Recent Developments

List of Figures

Figure 1. Machine Learning Operations (MLOps) Picture

Figure 2. Global Machine Learning Operations (MLOps) Consumption Value, (US$ million) & (2018-2029)

Figure 3. China Machine Learning Operations (MLOps) Consumption Value, (US$ million) & (2018-2029)

Figure 4. By Consumption Value, China Machine Learning Operations (MLOps) Market Share of Global, 2018-2029

Figure 5. Global Machine Learning Operations (MLOps) Market Share by Company, (Tier 1, Tier 2, and Tier 3), 2022

Figure 6. China Machine Learning Operations (MLOps) Key Participants, Market Share, 2022

Figure 7. Machine Learning Operations (MLOps) Industry Chain

Figure 8. Machine Learning Operations (MLOps) Procurement Model

Figure 9. Machine Learning Operations (MLOps) Sales Model

Figure 10. Machine Learning Operations (MLOps) Sales Channels, Direct Sales, and Distribution

Figure 11. On-premise

Figure 12. Cloud

Figure 13. Others

Figure 14. By Type, Global Machine Learning Operations (MLOps) Consumption Value, 2018-2029, US$ Million

Figure 15. By Type, Global Machine Learning Operations (MLOps) Consumption Value Market Share, 2018-2029

Figure 16. BFSI

Figure 17. Healthcare

Figure 18. Retail

Figure 19. Manufacturing

Figure 20. Public Sector

Figure 21. Others

Figure 22. By Application, Global Machine Learning Operations (MLOps) Consumption Value, 2018-2029, US$ Million

Figure 23. By Application, Global Machine Learning Operations (MLOps) Consumption Value Market Share, 2018-2029

Figure 24. By Region, Global Machine Learning Operations (MLOps) Consumption Value Market Share, 2018-2029

Figure 25. North America Machine Learning Operations (MLOps) Consumption Value & Forecasts, 2018-2029, US$ Million

Figure 26. By Country, North America Machine Learning Operations (MLOps) Consumption Value Market Share, 2022

Figure 27. Europe Machine Learning Operations (MLOps) Consumption Value & Forecasts, 2018-2029, US$ Million

Figure 28. By Country, Europe Machine Learning Operations (MLOps) Consumption Value Market Share, 2022

Figure 29. Asia Pacific Machine Learning Operations (MLOps) Consumption Value & Forecasts, 2018-2029, US$ Million

Figure 30. By Country/Region, Asia Pacific Machine Learning Operations (MLOps) Consumption Value Market Share, 2022

Figure 31. South America Machine Learning Operations (MLOps) Consumption Value & Forecasts, 2018-2029, US$ Million

Figure 32. By Country, South America Machine Learning Operations (MLOps) Consumption Value Market Share, 2022

Figure 33. Middle East & Africa Machine Learning Operations (MLOps) Consumption Value & Forecasts, 2018-2029, US$ Million

Figure 34. U.S. Machine Learning Operations (MLOps) Consumption Value, 2018-2029, US$ Million

Figure 35. By Type, U.S. Machine Learning Operations (MLOps) Consumption Value Market Share, 2022 VS 2029

Figure 36. By Application, U.S. Machine Learning Operations (MLOps) Consumption Value Market Share, 2022 VS 2029

Figure 37. Europe Machine Learning Operations (MLOps) Consumption Value, 2018-2029, US$ Million

Figure 38. By Type, Europe Machine Learning Operations (MLOps) Consumption Value Market Share, 2022 VS 2029

Figure 39. By Application, Europe Machine Learning Operations (MLOps) Consumption Value Market Share, 2022 VS 2029

Figure 40. China Machine Learning Operations (MLOps) Consumption Value, 2018-2029, US$ Million

Figure 41. By Type, China Machine Learning Operations (MLOps) Consumption Value Market Share, 2022 VS 2029

Figure 42. By Application, China Machine Learning Operations (MLOps) Consumption Value Market Share, 2022 VS 2029

Figure 43. Japan Machine Learning Operations (MLOps) Consumption Value, 2018-2029, US$ Million

Figure 44. By Type, Japan Machine Learning Operations (MLOps) Consumption Value Market Share, 2022 VS 2029

Figure 45. By Application, Japan Machine Learning Operations (MLOps) Consumption Value Market Share, 2022 VS 2029

Figure 46. South Korea Machine Learning Operations (MLOps) Consumption Value, 2018-2029, US$ Million

Figure 47. By Type, South Korea Machine Learning Operations (MLOps) Consumption Value Market Share, 2022 VS 2029

Figure 48. By Application, South Korea Machine Learning Operations (MLOps) Consumption Value Market Share, 2022 VS 2029

Figure 49. Southeast Asia Machine Learning Operations (MLOps) Consumption Value, 2018-2029, US$ Million

Figure 50. By Type, Southeast Asia Machine Learning Operations (MLOps) Consumption Value Market Share, 2022 VS 2029

Figure 51. By Application, Southeast Asia Machine Learning Operations (MLOps) Consumption Value Market Share, 2022 VS 2029

Figure 52. India Machine Learning Operations (MLOps) Consumption Value, 2018-2029, US$ Million

Figure 53. By Type, India Machine Learning Operations (MLOps) Consumption Value Market Share, 2022 VS 2029

Figure 54. By Application, India Machine Learning Operations (MLOps) Consumption Value Market Share, 2022 VS 2029

Figure 55. Middle East & Africa Machine Learning Operations (MLOps) Consumption Value, 2018-2029, US$ Million

Figure 56. By Type, Middle East & Africa Machine Learning Operations (MLOps) Consumption Value Market Share, 2022 VS 2029

Figure 57. By Application, Middle East & Africa Machine Learning Operations (MLOps) Consumption Value Market Share, 2022 VS 2029

Figure 58. Research Methodology

Figure 59. Breakdown of Primary Interviews

Figure 60. Bottom-up and Top-down Approaches

Figure 61. Top-down Approaches

Methodology/Research Approach

This research study involved the extensive usage of both primary and secondary data sources. The research process involved the study of various factors affecting the industry, including the government policy, market environment, competitive landscape, historical data, present trends in the market, technological innovation, upcoming technologies and the technical progress in related industry, and market risks, opportunities, market barriers and challenges. The following illustrative figure shows the market research methodology applied in this report.

Research Programs/Design

Historical Data (2015-2019)	Industry Trends Competitive Landscape By Company Expansion Mergers and Acquisitions Market Segment by Type by Application By Regions/ Geography	Value Status and Outlook Value for Major Players Market Share Growth Rate Present Situation Analysis Value Market Share Growth Rate Present Situation Analysis
Influencing Factors	Market Environment Government Policy Technological Changes Market Risks	Market Drivers Growing Demand of Downstream Reduction in Cost
Market Forecast (2021-2026)	Overall Size by Type by Application By Regions/Geography	Key Data (Value) Market Share Growth Rate CAGR (2021-2026)

Market Size Estimation

Top-down and bottom-up approaches are used to validate the global Voluntary Carbon Offset market size market and estimate the market size for Company, regions segments, product segments and Application (end users).

The market estimations in this report are based on the marketed sale price of Voluntary Carbon Offset (excluding any discounts provided by the player, distributor, wholesaler or traders). The percentage splits, market share, and breakdowns of the product segments are derived on the basis of weights assigned to each of the segments on the basis of their utilization rate and average sale price. The regional splits of the overall Voluntary Carbon Offset market and its sub-segments are based on the percentage adoption or utilization of the given product in the respective region or country.

Major Company in the market is identified through secondary research and their market revenues determined through primary and secondary research. Secondary research included the research of the annual and financial reports of the top Company; whereas, primary research included extensive interviews of key opinion leaders and industry experts such as experienced front-line staff, directors, CEOs and marketing executives. The percentage splits, market share, Growth Rate and breakdowns of the product markets are determined through using secondary sources and verified through the primary sources.

All possible factors that influence the markets included in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data. The market size for top-level markets and sub-segments is normalized, and the effect of inflation, economic downturns, and regulatory & policy changes or other factors are not accounted for in the market forecast. This data is combined and added with detailed inputs and analysis from Market Intellix and presented in this report

The following figure shows an illustrative representation of the overall market size estimation process used for this study.

Market Breakdown and Data Triangulation

After complete market engineering with calculations for market statistics; market size estimations; market forecasting; market breakdown; and data triangulation, extensive primary research was conducted to gather information and verify and validate the critical numbers arrived at. In the complete market engineering process, both top-down and bottom-up approaches were extensively used, along with several data triangulation methods, to perform market estimation and market forecasting for the overall market segments and sub-segments listed in this report. Extensive qualitative and further quantitative analysis is also done from all the numbers arrived at in the complete market engineering process to list key information throughout the report.

Data Source

Secondary Sources

Secondary sources include such as press releases, annual reports, non-profit organizations, industry associations, governmental agencies and customs data, etc. This research study involves the usage of widespread secondary sources, directories, databases such as Bloomberg Business, Wind Info, Hoovers, Factiva (Dow Jones & Company), and TRADING ECONOMICS, and News Network, statista, Federal Reserve Economic Data, annual reports, BIS Statistics, ICIS; company house documents; CAS(American Chemical Society); investor presentations; and SEC filings of companies. Secondary research was used to identify and collect information useful for the extensive, technical, market-oriented, and Hospitals study of the Voluntary Carbon Offset market. It was also used to obtain important information about the top companies, market classification and segmentation according to industry trends to the bottom-most level, and key developments related to market and technology perspectives.

Market Size	Segmental value Geographic Penetration Product Adoption Rate for Different market	Journals, Websites, and Press Releases Annual Reports and SEC Filings Company Websites and Press Releases Public and Paid Databases Market Intellix Data Repository
Market Position of Top Company	Product Financials Geographic value Mix Total Company value Business/Segmental value Mix
Qualitative Analysis	Influence Factors Market Potential Market Risks and Opportunities Industry Trends Geographical Features Government Policies	Company Websites and Press Releases Public and Paid Databases Annual Reports Industry Associations Market Intellix Data Repository

Primary Sources

In the primary research process, various sources from both the supply and demand sides were interviewed to obtain qualitative and quantitative information for this report. The primary sources from the supply side include product Company (and their competitors), opinion leaders, industry experts, research institutions, distributors, dealer and traders, as well as the raw materials suppliers and producers, etc.

The primary sources from the demand side include industry experts such as business leaders, marketing and sales directors, technology and innovation directors, supply chain executive, end use (product buyers), and related key executives from various key companies and organizations operating in the global market.

Primary research was conducted to identify segmentation Type, product price range, product Application, key Company, raw materials supply and the downstream demand, industry status and outlook, and key market dynamics such as risks, influence factors, opportunities, market barriers, industry trends, and key player strategies.

Key Executives Interviewed

Key Data Information from Primary Sources

Primary Sources	Parameters	Key Data
Market Segments(by Application, by Type)	Value by Type Status and Forecast Value by Application Value by Regions, Status and Forecast (2021-2026)	Value Market Share by Type Value Growth Rate by Type Value by Application Percentage and Growth Rate by Application Value Growth Rate and Market Share by Regions Market Size Status and Forecast (2021-2026)
Total Market	Overall Size, Status and Forecast	Market Size Status and Forecast (2021-2026)