The Europe Machine Learning Model Operationalization Management (MLOps) Market should witness market growth of 38.1% CAGR during the forecast period (2022-2028).
Automated testing of machine learning artifacts is possible because of MLOps (e.g., data validation, ML model integration testing, and ML model testing). Agile methodologies can be used in machine learning projects with MLOps.
As first-class citizens within CI/CD systems, MLOps facilitates supporting machine learning models and datasets to create these models. Technical debt for all machine learning models is decreased via MLOps. Language, framework, platform, and infrastructure agnosticism are required for MLOps. Machine learning is challenging to commercialize.
Data ingest, data preparation, model tuning, model training, model deployment, model monitoring, comprehensibility, and many other complicated elements make up the machine learning lifecycle. Additionally, it necessitates cross-team cooperation and handoffs from the Data Engineering, Data Science, and ML Engineering teams. Maintaining synchronization and coordination between these activities requires rigorous operational rigor.
ML technology is being employed increasingly frequently in developing nations like the United Kingdom and Germany that have sizable populations of skilled workers. The European market is now being impacted even more by consumer access to AI-enabled services and products. The European Union put out a 10.4 billion $ Digital Europe Program in June 2018 for the period 2021-2027. The program's objective is to enhance AI technology and increase its application in business and society.
The Germany market dominated the Europe Machine Learning Model Operationalization Management (MLOps) Market by Country in 2021, and would continue to be a dominant market till 2028; thereby, achieving a market value of $540.9 million by 2028. The UK market is anticipated to grow at a CAGR of 36.9% during (2022-2028). Additionally, The France market would exhibit a CAGR of 39.1% during (2022-2028).
Based on Component, the market is segmented into Platform and Services. Based on Vertical, the market is segmented into BFSI, IT & ITeS, Manufacturing, Retail & Ecommerce, Government & Defense, Healthcare & Life Sciences, Telecom, Energy & Utilities, Travel & Tourism, and Others. Based on Organization size, the market is segmented into Large Enterprises and SMEs. Based on Deployment Mode, the market is segmented into Cloud and On-premise. Based on countries, the market is segmented into Germany, UK, France, Russia, Spain, Italy, and Rest of Europe.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Microsoft Corporation, Amazon Web Services, Inc. (Amazon.com, Inc.), Google LLC, IBM Corporation, Hewlett-Packard enterprise Company, Alteryx, Inc., Cloudera, Inc., DataRobot, Inc., Domino Data Lab, Inc., and H2O.ai, Inc.
Automated testing of machine learning artifacts is possible because of MLOps (e.g., data validation, ML model integration testing, and ML model testing). Agile methodologies can be used in machine learning projects with MLOps.
As first-class citizens within CI/CD systems, MLOps facilitates supporting machine learning models and datasets to create these models. Technical debt for all machine learning models is decreased via MLOps. Language, framework, platform, and infrastructure agnosticism are required for MLOps. Machine learning is challenging to commercialize.
Data ingest, data preparation, model tuning, model training, model deployment, model monitoring, comprehensibility, and many other complicated elements make up the machine learning lifecycle. Additionally, it necessitates cross-team cooperation and handoffs from the Data Engineering, Data Science, and ML Engineering teams. Maintaining synchronization and coordination between these activities requires rigorous operational rigor.
ML technology is being employed increasingly frequently in developing nations like the United Kingdom and Germany that have sizable populations of skilled workers. The European market is now being impacted even more by consumer access to AI-enabled services and products. The European Union put out a 10.4 billion $ Digital Europe Program in June 2018 for the period 2021-2027. The program's objective is to enhance AI technology and increase its application in business and society.
The Germany market dominated the Europe Machine Learning Model Operationalization Management (MLOps) Market by Country in 2021, and would continue to be a dominant market till 2028; thereby, achieving a market value of $540.9 million by 2028. The UK market is anticipated to grow at a CAGR of 36.9% during (2022-2028). Additionally, The France market would exhibit a CAGR of 39.1% during (2022-2028).
Based on Component, the market is segmented into Platform and Services. Based on Vertical, the market is segmented into BFSI, IT & ITeS, Manufacturing, Retail & Ecommerce, Government & Defense, Healthcare & Life Sciences, Telecom, Energy & Utilities, Travel & Tourism, and Others. Based on Organization size, the market is segmented into Large Enterprises and SMEs. Based on Deployment Mode, the market is segmented into Cloud and On-premise. Based on countries, the market is segmented into Germany, UK, France, Russia, Spain, Italy, and Rest of Europe.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Microsoft Corporation, Amazon Web Services, Inc. (Amazon.com, Inc.), Google LLC, IBM Corporation, Hewlett-Packard enterprise Company, Alteryx, Inc., Cloudera, Inc., DataRobot, Inc., Domino Data Lab, Inc., and H2O.ai, Inc.
Scope of the Study
By Component
- Platform
- Services
By Vertical
- BFSI
- IT & ITeS
- Manufacturing
- Retail & Ecommerce
- Government & Defense
- Healthcare & Life Sciences
- Telecom
- Energy & Utilities
- Travel & Tourism
- Others
By Organization size
- Large Enterprises
- SMEs
By Deployment Mode
- Cloud
- On-premise
By Country
- Germany
- UK
- France
- Russia
- Spain
- Italy
- Rest of Europe
Key Market Players
List of Companies Profiled in the Report:
- Microsoft Corporation
- Amazon Web Services, Inc. (Amazon.com, Inc.)
- Google LLC
- IBM Corporation
- Hewlett-Packard enterprise Company
- Alteryx, Inc.
- Cloudera, Inc.
- DataRobot, Inc.
- Domino Data Lab, Inc.
- H2O.ai, Inc.
Unique Offerings
- Exhaustive coverage
- The highest number of market tables and figures
- Subscription-based model available
- Guaranteed best price
- Assured post sales research support with 10% customization free
Table of Contents
Chapter 1. Market Scope & Methodology1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
1.4.1 Europe Machine Learning Model Operationalization Management (MLOps) Market, by Component
1.4.2 Europe Machine Learning Model Operationalization Management (MLOps) Market, by Vertical
1.4.3 Europe Machine Learning Model Operationalization Management (MLOps) Market, by Organization size
1.4.4 Europe Machine Learning Model Operationalization Management (MLOps) Market, by Deployment Mode
1.4.5 Europe Machine Learning Model Operationalization Management (MLOps) Market, by Country
1.5 Methodology for the research
Chapter 2. Market Overview
2.1 Introduction
2.1.1 Overview
2.1.1.1 Market Composition and Scenario
2.2 Key Factors Impacting the Market
2.2.1 Market Drivers
2.2.2 Market Restraints
Chapter 3. Competition Analysis - Global
3.1 Cardinal Matrix
3.2 Recent Industry Wide Strategic Developments
3.2.1 Partnerships, Collaborations and Agreements
3.2.2 Product Launches and Product Expansions
3.2.3 Acquisition and Mergers
3.3 Top Winning Strategies
3.3.1 Key Leading Strategies: Percentage Distribution (2018-2022)
3.3.2 Key Strategic Move: (Product Launches and Product Expansions : 2018, Nov - 2022, Dec) Leading Players
Chapter 4. Europe Machine Learning Model Operationalization Management (MLOps) Market by Component
4.1 Europe Platform Market by Country
4.2 Europe Services Market by Country
Chapter 5. Europe Machine Learning Model Operationalization Management (MLOps) Market by Vertical
5.1 Europe BFSI Market by Country
5.2 Europe IT & ITeS Market by Country
5.3 Europe Manufacturing Market by Country
5.4 Europe Retail & Ecommerce Market by Country
5.5 Europe Government & Defense Market by Country
5.6 Europe Healthcare & Life Sciences Market by Country
5.7 Europe Telecom Market by Country
5.8 Europe Energy & Utilities Market by Country
5.9 Europe Travel & Tourism Market by Country
5.1 Europe Other Vertical Market by Country
Chapter 6. Europe Machine Learning Model Operationalization Management (MLOps) Market by Organization size
6.1 Europe Large Enterprises Market by Country
6.2 Europe SMEs Market by Country
Chapter 7. Europe Machine Learning Model Operationalization Management (MLOps) Market by Deployment Mode
7.1 Europe Cloud Market by Country
7.2 Europe On-premise Market by Country
Chapter 8. Europe Machine Learning Model Operationalization Management (MLOps) Market by Country
8.1 Germany Machine Learning Model Operationalization Management (MLOps) Market
8.1.1 Germany Machine Learning Model Operationalization Management (MLOps) Market by Component
8.1.2 Germany Machine Learning Model Operationalization Management (MLOps) Market by Vertical
8.1.3 Germany Machine Learning Model Operationalization Management (MLOps) Market by Organization size
8.1.4 Germany Machine Learning Model Operationalization Management (MLOps) Market by Deployment Mode
8.2 UK Machine Learning Model Operationalization Management (MLOps) Market
8.2.1 UK Machine Learning Model Operationalization Management (MLOps) Market by Component
8.2.2 UK Machine Learning Model Operationalization Management (MLOps) Market by Vertical
8.2.3 UK Machine Learning Model Operationalization Management (MLOps) Market by Organization size
8.2.4 UK Machine Learning Model Operationalization Management (MLOps) Market by Deployment Mode
8.3 France Machine Learning Model Operationalization Management (MLOps) Market
8.3.1 France Machine Learning Model Operationalization Management (MLOps) Market by Component
8.3.2 France Machine Learning Model Operationalization Management (MLOps) Market by Vertical
8.3.3 France Machine Learning Model Operationalization Management (MLOps) Market by Organization size
8.3.4 France Machine Learning Model Operationalization Management (MLOps) Market by Deployment Mode
8.4 Russia Machine Learning Model Operationalization Management (MLOps) Market
8.4.1 Russia Machine Learning Model Operationalization Management (MLOps) Market by Component
8.4.2 Russia Machine Learning Model Operationalization Management (MLOps) Market by Vertical
8.4.3 Russia Machine Learning Model Operationalization Management (MLOps) Market by Organization size
8.4.4 Russia Machine Learning Model Operationalization Management (MLOps) Market by Deployment Mode
8.5 Spain Machine Learning Model Operationalization Management (MLOps) Market
8.5.1 Spain Machine Learning Model Operationalization Management (MLOps) Market by Component
8.5.2 Spain Machine Learning Model Operationalization Management (MLOps) Market by Vertical
8.5.3 Spain Machine Learning Model Operationalization Management (MLOps) Market by Organization size
8.5.4 Spain Machine Learning Model Operationalization Management (MLOps) Market by Deployment Mode
8.6 Italy Machine Learning Model Operationalization Management (MLOps) Market
8.6.1 Italy Machine Learning Model Operationalization Management (MLOps) Market by Component
8.6.2 Italy Machine Learning Model Operationalization Management (MLOps) Market by Vertical
8.6.3 Italy Machine Learning Model Operationalization Management (MLOps) Market by Organization size
8.6.4 Italy Machine Learning Model Operationalization Management (MLOps) Market by Deployment Mode
8.7 Rest of Europe Machine Learning Model Operationalization Management (MLOps) Market
8.7.1 Rest of Europe Machine Learning Model Operationalization Management (MLOps) Market by Component
8.7.2 Rest of Europe Machine Learning Model Operationalization Management (MLOps) Market by Vertical
8.7.3 Rest of Europe Machine Learning Model Operationalization Management (MLOps) Market by Organization size
8.7.4 Rest of Europe Machine Learning Model Operationalization Management (MLOps) Market by Deployment Mode
Chapter 9. Company Profiles
9.1 Microsoft Corporation
9.1.1 Company Overview
9.1.2 Financial Analysis
9.1.4 Research & Development Expenses
9.1.5 Recent strategies and developments:
9.1.5.1 Partnerships, Collaborations, and Agreements:
9.1.5.2 Product Launches and Product Expansions:
9.1.6 SWOT Analysis
9.2 Amazon Web Services, Inc. (Amazon.com, Inc.)
9.2.1 Company Overview
9.2.2 Financial Analysis
9.2.3 Segmental Analysis
9.2.4 Recent strategies and developments:
9.2.4.1 Partnerships, Collaborations, and Agreements:
9.2.4.2 Product Launches and Product Expansions:
9.2.5 SWOT Analysis
9.3 Google LLC
9.3.1 Company Overview
9.3.2 Financial Analysis
9.3.3 Segmental and Regional Analysis
9.3.4 Research & Development Expense
9.3.5 Recent strategies and developments:
9.3.5.1 Product Launches and Product Expansions:
9.3.6 SWOT Analysis
9.4 IBM Corporation
9.4.1 Company Overview
9.4.2 Financial Analysis
9.4.3 Regional & Segmental Analysis
9.4.4 Research & Development Expenses
9.4.5 Recent strategies and developments:
9.4.5.1 Acquisition and Mergers:
9.4.1 SWOT Analysis
9.5 Hewlett Packard Enterprise Company
9.5.1 Company Overview
9.5.2 Financial Analysis
9.5.3 Segmental and Regional Analysis
9.5.4 Research & Development Expense
9.5.5 Recent strategies and developments:
9.5.5.1 Product Launches and Product Expansions:
9.5.5.2 Acquisition and Mergers:
9.6 Alteryx, Inc.
9.6.1 Company Overview
9.6.2 Financial Analysis
9.6.3 Regional Analysis
9.6.4 Research & Development Expense
9.6.5 Recent strategies and developments:
9.6.5.1 Product Launches and Product Expansions:
9.7 Cloudera, Inc.
9.7.1 Company Overview
9.7.2 Financial Analysis
9.7.3 Segmental Analysis
9.7.4 Research & Development Expense
9.8 DataRobot, Inc.
9.8.1 Company Overview
9.8.2 Recent strategies and developments:
9.8.2.1 Acquisition and Mergers:
9.9 Domino Data Lab, Inc.
9.9.1 Company Overview
9.9.2 Recent strategies and developments:
9.9.2.1 Partnerships, Collaborations, and Agreements:
9.9.2.2 Product Launches and Product Expansions:
9.10. H2O.ai, Inc.
9.10.1 Company Overview
9.10.2 Recent strategies and developments:
9.10.2.1 Partnerships, Collaborations, and Agreements:
9.10.2.2 Product Launches and Product Expansions:
Companies Mentioned
- Microsoft Corporation
- Amazon Web Services, Inc. (Amazon.com, Inc.)
- Google LLC
- IBM Corporation
- Hewlett-Packard enterprise Company
- Alteryx, Inc.
- Cloudera, Inc.
- DataRobot, Inc.
- Domino Data Lab, Inc.
- H2O.ai, Inc.
Methodology
LOADING...
