Global Machine Learning Operations (MLOps) Competitive Landscape Professional Research Report 2025
Description
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 was valued at XX Million USD in 2024 and is projected to reach XX Million USD by 2032, with a CAGR of XX% (2025-2032). Notably, the China market has changed rapidly in the past few years. By 2024, China's market size is expected to be XX Million USD, representing approximately XX% of the global market share. By 2032, it is anticipated to grow further to XX Million USD, contributing XX% to the worldwide market share.
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 tier comprises global leading enterprises that command a substantial market share, hold a dominant industry position, possess strong competitiveness and influence, and generate significant revenue. The second tier includes companies with a notable market presence and reputation; these firms actively follow industry leaders in product, service, or technological innovation and maintain a moderate revenue scale. The third tier consists of smaller companies with limited market share and lower brand recognition, primarily focused on local markets and generating comparatively lower revenue.
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, prices, sales, 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 2020 to 2024, based year in 2025 and forecast data from 2026 to 2032.
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
Google
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 Passenger 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
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 was valued at XX Million USD in 2024 and is projected to reach XX Million USD by 2032, with a CAGR of XX% (2025-2032). Notably, the China market has changed rapidly in the past few years. By 2024, China's market size is expected to be XX Million USD, representing approximately XX% of the global market share. By 2032, it is anticipated to grow further to XX Million USD, contributing XX% to the worldwide market share.
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 tier comprises global leading enterprises that command a substantial market share, hold a dominant industry position, possess strong competitiveness and influence, and generate significant revenue. The second tier includes companies with a notable market presence and reputation; these firms actively follow industry leaders in product, service, or technological innovation and maintain a moderate revenue scale. The third tier consists of smaller companies with limited market share and lower brand recognition, primarily focused on local markets and generating comparatively lower revenue.
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, prices, sales, 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 2020 to 2024, based year in 2025 and forecast data from 2026 to 2032.
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 Passenger 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
170 Pages
- 1 Facility Property Management Market Overview
- 1.1 Product Definition and Statistical Scope
- 1.2 Facility Property Management Product by Type
- 1.2.1 Professional Services
- 1.2.2 Managed Services
- 1.3 Facility Property Management Product by Application
- 1.3.1 Manufacturing
- 1.3.2 Smart Cities
- 1.3.3 IT
- 1.4 Global Facility Property Management Market Size Analysis (2020-2032)
- 1.5 Facility Property Management Market Development Status and Trends
- 1.5.1 Facility Property Management Industry Development Status Analysis
- 1.5.2 Facility Property Management Industry Development Trends Analysis
- 2 Facility Property Management 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 Facility Property Management 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 Facility Property Management Market Analysis by Regions
- 4.1 Global Facility Property Management Overall Market: 2024 VS 2025 VS 2032
- 4.2 Global Facility Property Management Revenue and Forecast Analysis (2020-2032)
- 4.2.1 Global Facility Property Management Revenue and Market Share by Region (2020-2025)
- 4.2.2 Global Facility Property Management Revenue Forecast by Region (2026-2032)
- 5 Global Facility Property Management Market Size by Type and Application
- 5.1 Global Facility Property Management Market Size by Type (2020-2032)
- 5.2 Global Facility Property Management Market Size by Application (2020-2032)
- 6 North America
- 6.1 North America Facility Property Management Market Size and Growth Rate Analysis (2020-2032)
- 6.2 North America Key Manufacturers Analysis
- 6.3 North America Facility Property Management Market Size by Type
- 6.4 North America Facility Property Management Market Size by Application
- 6.5 North America Facility Property Management Market Size by Country
- 6.5.1 US
- 6.5.2 Canada
- 7 Europe
- 7.1 Europe Facility Property Management Market Size and Growth Rate Analysis (2020-2032)
- 7.2 Europe Key Manufacturers Analysis
- 7.3 Europe Facility Property Management Market Size by Type
- 7.4 Europe Facility Property Management Market Size by Application
- 7.5 Europe Facility Property Management 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 Facility Property Management Market Size and Growth Rate Analysis (2020-2032)
- 8.2 China Key Manufacturers Analysis
- 8.3 China Facility Property Management Market Size by Type
- 8.4 China Facility Property Management Market Size by Application
- 9 APAC (excl. China)
- 9.1 APAC (excl. China) Facility Property Management Market Size and Growth Rate Analysis (2020-2032)
- 9.2 APAC (excl. China) Key Manufacturers Analysis
- 9.3 APAC (excl. China) Facility Property Management Market Size by Type
- 9.4 APAC (excl. China) Facility Property Management Market Size by Application
- 9.5 APAC (excl. China) Facility Property Management Market Size by Country
- 9.5.1 Japan
- 9.5.2 South Korea
- 9.5.3 India
- 9.5.4 Australia
- 9.5.5 Southeast Asia
- 10 Latin America
- 10.1 Latin America Facility Property Management Market Size and Growth Rate Analysis (2020-2032)
- 10.2 Latin America Key Manufacturers Analysis
- 10.3 Latin America Facility Property Management Market Size by Type
- 10.4 Latin America Facility Property Management Market Size by Application
- 10.5 Latin America Facility Property Management Market Size by Country
- 10.5.1 Mexico
- 10.5.2 Brazil
- 11 Middle East & Africa
- 11.1 Middle East & Africa Facility Property Management Market Size and Growth Rate Analysis (2020-2032)
- 11.2 Middle East & Africa Key Manufacturers Analysis
- 11.3 Middle East & Africa Facility Property Management Market Size by Type
- 11.4 Middle East & Africa Facility Property Management Market Size by Application
- 11.5 Middle East & Africa Facility Property Management Market Size by Country
- 11.5.1 Saudi Arabia
- 11.5.2 South Africa
- 12 Competition by Manufacturers
- 12.1 Global Facility Property Management Market Revenue by Key Manufacturers (2021-2025)
- 12.2 Facility Property Management Competitive Landscape Analysis and Market Dynamic
- 12.2.1 Facility Property Management Competitive Landscape Analysis
- 12.2.2 Global Key Manufacturers Headquarter Location and Key Area Sales
- 12.2.3 Market Dynamic
- 13 Key Companies Analysis
- 13.1 Oracle
- 13.1.1 Oracle Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 13.1.2 Oracle Facility Property Management Product Portfolio
- 13.1.3 Oracle Facility Property Management Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 13.2 Trimble
- 13.2.1 Trimble Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 13.2.2 Trimble Facility Property Management Product Portfolio
- 13.2.3 Trimble Facility Property Management Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 13.3 Nemetschek SE
- 13.3.1 Nemetschek SE Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 13.3.2 Nemetschek SE Facility Property Management Product Portfolio
- 13.3.3 Nemetschek SE Facility Property Management Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 13.4 Eptura
- 13.4.1 Eptura Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 13.4.2 Eptura Facility Property Management Product Portfolio
- 13.4.3 Eptura Facility Property Management Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 13.5 Planon
- 13.5.1 Planon Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 13.5.2 Planon Facility Property Management Product Portfolio
- 13.5.3 Planon Facility Property Management Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 13.6 Nuvolo
- 13.6.1 Nuvolo Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 13.6.2 Nuvolo Facility Property Management Product Portfolio
- 13.6.3 Nuvolo Facility Property Management Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 13.7 Johnson Controls International
- 13.7.1 Johnson Controls International Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 13.7.2 Johnson Controls International Facility Property Management Product Portfolio
- 13.7.3 Johnson Controls International Facility Property Management Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 13.8 Apleona GmbH
- 13.8.1 Apleona GmbH Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 13.8.2 Apleona GmbH Facility Property Management Product Portfolio
- 13.8.3 Apleona GmbH Facility Property Management Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 13.9 IBM
- 13.9.1 IBM Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 13.9.2 IBM Facility Property Management Product Portfolio
- 13.9.3 IBM Facility Property Management Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 13.10 QuickFMS
- 13.10.1 QuickFMS Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 13.10.2 QuickFMS Facility Property Management Product Portfolio
- 13.10.3 QuickFMS Facility Property Management Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 13.11 zLink
- 13.11.1 zLink Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 13.11.2 zLink Facility Property Management Product Portfolio
- 13.11.3 zLink Facility Property Management Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 13.12 FacilityOne Technologies
- 13.12.1 FacilityOne Technologies Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 13.12.2 FacilityOne Technologies Facility Property Management Product Portfolio
- 13.12.3 FacilityOne Technologies Facility Property Management Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 13.13 Cushman & Wakefield
- 13.13.1 Cushman & Wakefield Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 13.13.2 Cushman & Wakefield Facility Property Management Product Portfolio
- 13.13.3 Cushman & Wakefield Facility Property Management Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 13.14 Fortive
- 13.14.1 Fortive Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 13.14.2 Fortive Facility Property Management Product Portfolio
- 13.14.3 Fortive Facility Property Management Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 13.15 Infor
- 13.15.1 Infor Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 13.15.2 Infor Facility Property Management Product Portfolio
- 13.15.3 Infor Facility Property Management Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 13.16 MRI Software
- 13.16.1 MRI Software Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 13.16.2 MRI Software Facility Property Management Product Portfolio
- 13.16.3 MRI Software Facility Property Management Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 13.17 OfficeSpace Software
- 13.17.1 OfficeSpace Software Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 13.17.2 OfficeSpace Software Facility Property Management Product Portfolio
- 13.17.3 OfficeSpace Software Facility Property Management Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 13.18 efacility
- 13.18.1 efacility Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 13.18.2 efacility Facility Property Management Product Portfolio
- 13.18.3 efacility Facility Property Management Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 13.19 SAP SE
- 13.19.1 SAP SE Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 13.19.2 SAP SE Facility Property Management Product Portfolio
- 13.19.3 SAP SE Facility Property Management Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 13.20 CBRE Group
- 13.20.1 CBRE Group Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 13.20.2 CBRE Group Facility Property Management Product Portfolio
- 13.20.3 CBRE Group Facility Property Management Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 13.21 Jones Lang LaSalle
- 13.21.1 Jones Lang LaSalle Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 13.21.2 Jones Lang LaSalle Facility Property Management Product Portfolio
- 13.21.3 Jones Lang LaSalle Facility Property Management Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 14 Industry Chain Analysis
- 14.1 Facility Property Management Industry Chain Analysis
- 14.2 Facility Property Management Industry Raw Material and Suppliers Analysis
- 14.2.1 Facility Property Management Key Raw Material Supply Analysis
- 14.2.2 Raw Material Suppliers and Contact Information
- 14.3 Facility Property Management Typical Downstream Customers
- 14.4 Facility Property Management 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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