Global Machine Learning Operations (MLOps) Competitive Landscape Professional Research Report 2024
Description
Global Machine Learning Operations (MLOps) Competitive Landscape Professional Research Report 2024
Research Summary
Machine Learning Operations (MLOps) is a methodology and set of practices focused on streamlining the deployment, management, and monitoring of machine learning models in production environments. It combines principles from DevOps and data science to ensure that ML models are deployed efficiently and reliably. MLOps involves automating processes such as model training, testing, deployment, and monitoring, while also integrating version control and continuous integration/continuous deployment (CI/CD) pipelines to maintain consistency and scalability. By implementing MLOps, organizations can accelerate the development and deployment of ML models, improve collaboration between data science and IT teams, and ensure the reliability and performance of ML applications in real-world settings.
According to DIResearch's in-depth investigation and research, the global Machine Learning Operations (MLOps) market size will reach XX US$ Million in 2024, and is expected to reach XX US$ Million in 2030, with a CAGR of XX% (2025-2030). Among them, the China market has changed rapidly in the past few years. The market size in 2024 will be XX US$ Million, accounting for approximately XX% of the world. It is expected to reach XX US$ Million in 2030, and the global share will reach XX%.
The major global manufacturers of Machine Learning Operations (MLOps) include IBM, DataRobot, SAS, Microsoft, Amazon, Google, Dataiku, Databricks, HPE, Lguazio, ClearML, Modzy, Comet, Cloudera, Paperpace, Valohai etc. The global players competition landscape in this report is divided into three tiers. The first tiers is the global leading enterprise, which occupies a major market share, is in a leading position in the industry, has strong competitiveness and influence, and has a large revenue scale; the second tiers has a certain share and popularity in the market, actively follows the industry leaders in product, service or technological innovation, and has a medium revenue scale; the third tiers has a smaller share in the market, has a lower brand awareness, mainly focuses on the local market, and has a relatively small revenue scale.
This report studies the market size, price trends and future development prospects of Machine Learning Operations (MLOps). Focus on analysing the market share, product portfolio, revenue and gross profit margin of global major manufacturers, as well as the market status and trends of different product types and applications in the global Machine Learning Operations (MLOps) market. The report data covers historical data from 2019 to 2023, base year in 2024 and forecast data from 2025 to 2030.
The regions and countries in the report include North America, Europe, China, APAC (excl. China), Latin America and Middle East and Africa, covering the Machine Learning Operations (MLOps) market conditions and future development trends of key regions and countries, combined with industry-related policies and the latest technological developments, analyze the development characteristics of Machine Learning Operations (MLOps) industries in various regions and countries, help companies understand the development characteristics of each region, help companies formulate business strategies, and achieve the ultimate goal of the company's global development strategy.
The data sources of this report mainly include the National Bureau of Statistics, customs databases, industry associations, corporate financial reports, third-party databases, etc. Among them, macroeconomic data mainly comes from the National Bureau of Statistics, International Economic Research Organization; industry statistical data mainly come from industry associations; company data mainly comes from interviews, public information collection, third-party reliable databases, and price data mainly comes from various markets monitoring database.
Global Key Manufacturers of Machine Learning Operations (MLOps) Include:
IBM
DataRobot
SAS
Microsoft
Amazon
Dataiku
Databricks
HPE
Lguazio
ClearML
Modzy
Comet
Cloudera
Paperpace
Valohai
Machine Learning Operations (MLOps) Product Segment Include:
On-premise
Cloud
Others
Machine Learning Operations (MLOps) Product Application Include:
BFSI
Healthcare
Retail
Manufacturing
Public Sector
Others
Chapter Scope
Chapter 1: Product Research Range, Product Types and Applications, Market Overview, Market Situation and Trends
Chapter 2: Global Machine Learning Operations (MLOps) Industry PESTEL Analysis
Chapter 3: Global Machine Learning Operations (MLOps) Industry Porter’s Five Forces Analysis
Chapter 4: Global Machine Learning Operations (MLOps) Major Regional Market Size and Forecast Analysis
Chapter 5: Global Machine Learning Operations (MLOps) Market Size and Forecast by Type and Application Analysis
Chapter 6: North America Machine Learning Operations (MLOps) Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)
Chapter 7: Europe Machine Learning Operations (MLOps) Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)
Chapter 8: China Machine Learning Operations (MLOps) Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)
Chapter 9: APAC (Excl. China) Machine Learning Operations (MLOps) Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)
Chapter 10: Latin America Machine Learning Operations (MLOps) Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)
Chapter 11: Middle East and Africa Machine Learning Operations (MLOps) Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)
Chapter 12: Global Machine Learning Operations (MLOps) Competitive Analysis of Key Manufacturers (Revenue, Market Share, Regional Distribution and Industry Concentration)
Chapter 13: Key Company Profiles (Product Portfolio, Revenue and Gross Margin)
Chapter 14: Industrial Chain Analysis, Include Raw Material Suppliers, Distributors and Customers
Chapter 15: Research Findings and Conclusion
Chapter 16: Methodology and Data Sources
Table of Contents
165 Pages
- 1 Machine Learning Operations (MLOps) Market Overview
- 1.1 Product Definition and Statistical Scope
- 1.2 Machine Learning Operations (MLOps) Product by Type
- 1.2.1 Global Machine Learning Operations (MLOps) Market Size by Type, 2023 VS 2024 VS 2030
- 1.2.2 On-premise
- 1.2.3 Cloud
- 1.2.4 Others
- 1.3 Machine Learning Operations (MLOps) Product by Application
- 1.3.1 Global Machine Learning Operations (MLOps) Market Size by Application, 2023 VS 2024 VS 2030
- 1.3.2 BFSI
- 1.3.3 Healthcare
- 1.3.4 Retail
- 1.3.5 Manufacturing
- 1.3.6 Public Sector
- 1.3.7 Others
- 1.4 Global Machine Learning Operations (MLOps) Market Revenue Analysis (2019-2030)
- 1.5 Machine Learning Operations (MLOps) Market Development Status and Trends
- 1.5.1 Machine Learning Operations (MLOps) Industry Development Status Analysis
- 1.5.2 Machine Learning Operations (MLOps) Industry Development Trends Analysis
- 2 Machine Learning Operations (MLOps) Market PESTEL Analysis
- 2.1 Political Factors Analysis
- 2.2 Economic Factors Analysis
- 2.3 Social Factors Analysis
- 2.4 Technological Factors Analysis
- 2.5 Environmental Factors Analysis
- 2.6 Legal Factors Analysis
- 3 Machine Learning Operations (MLOps) Market Porter's Five Forces Analysis
- 3.1 Competitive Rivalry
- 3.2 Threat of New Entrants
- 3.3 Bargaining Power of Suppliers
- 3.4 Bargaining Power of Buyers
- 3.5 Threat of Substitutes
- 4 Global Machine Learning Operations (MLOps) Market Analysis by Regions
- 4.1 Machine Learning Operations (MLOps) Overall Market: 2023 VS 2024 VS 2030
- 4.2 Global Machine Learning Operations (MLOps) Revenue and Forecast Analysis (2019-2030)
- 4.2.1 Global Machine Learning Operations (MLOps) Revenue and Market Share by Region (2019-2024)
- 4.2.2 Global Machine Learning Operations (MLOps) Revenue Forecast by Region (2025-2030)
- 5 Global Machine Learning Operations (MLOps) Market Size by Type and Application
- 5.1 Global Machine Learning Operations (MLOps) Market Size by Type
- 5.2 Global Machine Learning Operations (MLOps) Market Size by Application
- 6 North America
- 6.1 North America Machine Learning Operations (MLOps) Market Size and Growth Rate Analysis (2019-2030)
- 6.2 North America Key Manufacturers Analysis
- 6.3 North America Machine Learning Operations (MLOps) Market Size by Type
- 6.4 North America Machine Learning Operations (MLOps) Market Size by Application
- 6.5 North America Machine Learning Operations (MLOps) Market Size by Country
- 6.5.1 US
- 6.5.2 Canada
- 7 Europe
- 7.1 Europe Machine Learning Operations (MLOps) Market Size and Growth Rate Analysis (2019-2030)
- 7.2 Europe Key Manufacturers Analysis
- 7.3 Europe Machine Learning Operations (MLOps) Market Size by Type
- 7.4 Europe Machine Learning Operations (MLOps) Market Size by Application
- 7.5 Europe Machine Learning Operations (MLOps) Market Size by Country
- 7.5.1 Germany
- 7.5.2 France
- 7.5.3 United Kingdom
- 7.5.4 Italy
- 7.5.5 Spain
- 7.5.6 Benelux
- 8 China
- 8.1 China Machine Learning Operations (MLOps) Market Size and Growth Rate Analysis (2019-2030)
- 8.2 China Key Manufacturers Analysis
- 8.3 China Machine Learning Operations (MLOps) Market Size by Type
- 8.4 China Machine Learning Operations (MLOps) Market Size by Application
- 9 APAC (excl. China)
- 9.1 APAC (excl. China) Machine Learning Operations (MLOps) Market Size and Growth Rate Analysis (2019-2030)
- 9.2 APAC (excl. China) Key Manufacturers Analysis
- 9.3 APAC (excl. China) Machine Learning Operations (MLOps) Market Size by Type
- 9.4 APAC (excl. China) Machine Learning Operations (MLOps) Market Size by Application
- 9.5 APAC (excl. China) Machine Learning Operations (MLOps) Market Size by Country
- 9.5.1 Japan
- 9.5.2 South Korea
- 9.5.3 India
- 9.5.4 Australia
- 9.5.5 Indonesia
- 9.5.6 Vietnam
- 9.5.7 Malaysia
- 9.5.8 Thailand
- 10 Latin America
- 10.1 Latin America Machine Learning Operations (MLOps) Market Size and Growth Rate Analysis (2019-2030)
- 10.2 Latin America Key Manufacturers Analysis
- 10.3 Latin America Machine Learning Operations (MLOps) Market Size by Type
- 10.4 Latin America Machine Learning Operations (MLOps) Market Size by Application
- 10.5 Latin America Machine Learning Operations (MLOps) Market Size by Country
- 10.5.1 Mecixo
- 10.5.2 Brazil
- 11 Middle East & Africa
- 11.1 Middle East & Africa Machine Learning Operations (MLOps) Market Size and Growth Rate Analysis (2019-2030)
- 11.2 Middle East & Africa Key Manufacturers Analysis
- 11.3 Middle East & Africa Machine Learning Operations (MLOps) Market Size by Type
- 11.4 Middle East & Africa Machine Learning Operations (MLOps) Market Size by Application
- 11.5 Middle East & Africa Machine Learning Operations (MLOps) Market Size by Country
- 11.5.1 Saudi Arabia
- 11.5.2 South Africa
- 12 Market Competition by Manufacturers
- 12.1 Global Machine Learning Operations (MLOps) Market Revenue by Key Manufacturers (2020-2024)
- 12.2 Machine Learning Operations (MLOps) Competitive Landscape Analysis and Market Dynamic
- 12.2.1 Machine Learning Operations (MLOps) Competitive Landscape Analysis
- 12.2.2 Global Key Manufacturers Headquarter and Key Area Sales
- 12.2.3 Market Dynamic
- 13 Key Companies Analysis
- 13.1 IBM
- 13.1.1 IBM Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 13.1.2 IBM Machine Learning Operations (MLOps) Product Portfolio
- 13.1.3 IBM Machine Learning Operations (MLOps) Market Data Analysis (Revenue, Gross Margin and Market Share) (2020-2024)
- 13.2 DataRobot
- 13.2.1 DataRobot Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 13.2.2 DataRobot Machine Learning Operations (MLOps) Product Portfolio
- 13.2.3 DataRobot Machine Learning Operations (MLOps) Market Data Analysis (Revenue, Gross Margin and Market Share) (2020-2024)
- 13.3 SAS
- 13.3.1 SAS Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 13.3.2 SAS Machine Learning Operations (MLOps) Product Portfolio
- 13.3.3 SAS Machine Learning Operations (MLOps) Market Data Analysis (Revenue, Gross Margin and Market Share) (2020-2024)
- 13.4 Microsoft
- 13.4.1 Microsoft Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 13.4.2 Microsoft Machine Learning Operations (MLOps) Product Portfolio
- 13.4.3 Microsoft Machine Learning Operations (MLOps) Market Data Analysis (Revenue, Gross Margin and Market Share) (2020-2024)
- 13.5 Amazon
- 13.5.1 Amazon Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 13.5.2 Amazon Machine Learning Operations (MLOps) Product Portfolio
- 13.5.3 Amazon Machine Learning Operations (MLOps) Market Data Analysis (Revenue, Gross Margin and Market Share) (2020-2024)
- 13.6 Google
- 13.6.1 Google Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 13.6.2 Google Machine Learning Operations (MLOps) Product Portfolio
- 13.6.3 Google Machine Learning Operations (MLOps) Market Data Analysis (Revenue, Gross Margin and Market Share) (2020-2024)
- 13.7 Dataiku
- 13.7.1 Dataiku Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 13.7.2 Dataiku Machine Learning Operations (MLOps) Product Portfolio
- 13.7.3 Dataiku Machine Learning Operations (MLOps) Market Data Analysis (Revenue, Gross Margin and Market Share) (2020-2024)
- 13.8 Databricks
- 13.8.1 Databricks Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 13.8.2 Databricks Machine Learning Operations (MLOps) Product Portfolio
- 13.8.3 Databricks Machine Learning Operations (MLOps) Market Data Analysis (Revenue, Gross Margin and Market Share) (2020-2024)
- 13.9 HPE
- 13.9.1 HPE Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 13.9.2 HPE Machine Learning Operations (MLOps) Product Portfolio
- 13.9.3 HPE Machine Learning Operations (MLOps) Market Data Analysis (Revenue, Gross Margin and Market Share) (2020-2024)
- 13.10 Lguazio
- 13.10.1 Lguazio Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 13.10.2 Lguazio Machine Learning Operations (MLOps) Product Portfolio
- 13.10.3 Lguazio Machine Learning Operations (MLOps) Market Data Analysis (Revenue, Gross Margin and Market Share) (2020-2024)
- 13.11 ClearML
- 13.11.1 ClearML Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 13.11.2 ClearML Machine Learning Operations (MLOps) Product Portfolio
- 13.11.3 ClearML Machine Learning Operations (MLOps) Market Data Analysis (Revenue, Gross Margin and Market Share) (2020-2024)
- 13.12 Modzy
- 13.12.1 Modzy Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 13.12.2 Modzy Machine Learning Operations (MLOps) Product Portfolio
- 13.12.3 Modzy Machine Learning Operations (MLOps) Market Data Analysis (Revenue, Gross Margin and Market Share) (2020-2024)
- 13.13 Comet
- 13.13.1 Comet Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 13.13.2 Comet Machine Learning Operations (MLOps) Product Portfolio
- 13.13.3 Comet Machine Learning Operations (MLOps) Market Data Analysis (Revenue, Gross Margin and Market Share) (2020-2024)
- 13.14 Cloudera
- 13.14.1 Cloudera Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 13.14.2 Cloudera Machine Learning Operations (MLOps) Product Portfolio
- 13.14.3 Cloudera Machine Learning Operations (MLOps) Market Data Analysis (Revenue, Gross Margin and Market Share) (2020-2024)
- 13.15 Paperpace
- 13.15.1 Paperpace Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 13.15.2 Paperpace Machine Learning Operations (MLOps) Product Portfolio
- 13.15.3 Paperpace Machine Learning Operations (MLOps) Market Data Analysis (Revenue, Gross Margin and Market Share) (2020-2024)
- 13.16 Valohai
- 13.16.1 Valohai Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 13.16.2 Valohai Machine Learning Operations (MLOps) Product Portfolio
- 13.16.3 Valohai Machine Learning Operations (MLOps) Market Data Analysis (Revenue, Gross Margin and Market Share) (2020-2024)
- 14 Industry Chain Analysis
- 14.1 Machine Learning Operations (MLOps) Industry Chain Analysis
- 14.2 Machine Learning Operations (MLOps) Industry Raw Material and Suppliers Analysis
- 14.2.1 Upstream Key Raw Material Supply Analysis
- 14.2.2 Raw Material Suppliers and Contact Information
- 14.3 Machine Learning Operations (MLOps) Typical Downstream Customers
- 14.4 Machine Learning Operations (MLOps) Sales Channel Analysis
- 15 Research Findings and Conclusion
- 16 Methodology and Data Source
- 16.1 Methodology/Research Approach
- 16.2 Research Scope
- 16.3 Benchmarks and Assumptions
- 16.4 Date Source
- 16.4.1 Primary Sources
- 16.4.2 Secondary Sources
- 16.5 Data Cross Validation
- 16.6 Disclaimer
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