The Europe Machine Learning Model Operationalization Management (MLOps) Market would 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.
Free Valuable Insights: The Global Machine Learning Model Operationalization Management (MLOps) Market will Hit $8.5 Billion by 2028, at a CAGR of 38.9%
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.
By Component
By Vertical
By Organization size
By Deployment Mode
By Country
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