What is the current size and annual growth rate of the machine learning model operationalization management (mlops) market?
The machine learning model operationalization management (MLOPS) market size has grown exponentially in recent years. It will grow from $2.65 billion in 2024 to $3.83 billion in 2025 at a compound annual growth rate (CAGR) of 44.8%. The growth in the historic period can be attributed to proliferation of machine learning models, rising complexity of ml models, growing data volumes, increasing demand for automation, rise of cloud computing.
The machine learning model operationalization management (MLOPS) market size is expected to see exponential growth in the next few years. It will grow to $16.74 billion in 2029 at a compound annual growth rate (CAGR) of 44.5%. The growth in the forecast period can be attributed to advancements in model explainability, integration with ai governance, greater adoption of model versioning, focus on cost optimization, increased industry-specific solutions. Major trends in the forecast period include advancements in technology, product innovations, cloud security initiatives, web applications development.
Get Your Free Sample of The Global Machine Learning Model Operationalization Management (MLOPS) Market Report:
https://www.thebusinessresearchcompany.com/sample.aspx?id=13696&type=smp
Which industry factors have accelerated the machine learning model operationalization management (mlops) market’s expansion?
The increasing adoption of AI technology is expected to propel the growth of the machine learning model operationalization management (MLOPS) market going forward. Artificial intelligence (AI) refers to the development of computer systems or software that can perform tasks that typically require human intelligence. Machine learning operationalization management uses AI technology to ensure that machine learning models are deployed, managed and monitored effectively in production environments and enhance the end-to-end lifecycle of machine learning (ML) models. For instance, in May 2022, according to a report published by International Business Machines Corporation (IBM), a US-based technology corporation, the adoption rate of AI globally increased significantly and was at 35%, up four points from the previous year. Further, in 2022, 13% more firms are projected to have used AI than in 2021. 35% of organizations reported adopting AI in their company, 42% are considering AI for adoption, and two-thirds of the companies (66%) are either presently executing or intending to utilize AI to meet their sustainability goals. Therefore, the increasing adoption of AI technology is driving the growth of the machine learning model operationalization management (MLOPS) market.
What are the primary segments of the machine learning model operationalization management (mlops) market?
The machine learning model operationalization management (MLOPS) market covered in this report is segmented –
1) By Component: Platform, Services
2) By Deployment: On-Premises, Cloud
3) By Organization Size: Large Enterprises, Small And Medium-Sized Enterprises
4) By Vertical: Banking, Financial Services, And Insurance, Retail And Ecommerce, Government And Defense, Health And Life Sciences, Manufacturing, Telecom, IT And ITeS, Energy And Utilities, Transportation And Logistics, Other Verticals
Subsegments:
1) By Platform: Model Development Platforms, Model Deployment Platforms, Monitoring And Management Tools, Data Management Solutions, Collaboration Tools
2) By Services: Consulting Services, Implementation Services, Training And Support Services, Maintenance Services, Custom Development Services
Order your report now for swift delivery
Which firms are leading the machine learning model operationalization management (mlops) market?
Major companies operating in the machine learning model operationalization management (mlops) market report are Google LLC, Microsoft Corporation, Amazon Web Services Inc., IBM Corporation, Oracle Corporation, SAP SE, Hewlett Packard Enterprise Development LP, SAS Institute Inc., Informatica Corporation, Cloudera Inc., Databricks Inc., TIBCO Software Inc., Alteryx Inc., DataRobot Inc., Dataiku Inc., Domino Data Lab Inc., Neptune Labs, H2O.ai, RapidMiner, Tecton Inc., Data Science Dojo, ModelOp Inc., Aible, Inc., Algorithmia, Inc., KNIME AG
Which market trends are set to define the future of the machine learning model operationalization management (mlops) market?
The increasing adoption of AI technology is expected to propel the growth of the machine learning model operationalization management (MLOPS) market going forward. Artificial intelligence (AI) refers to the development of computer systems or software that can perform tasks that typically require human intelligence. Machine learning operationalization management uses AI technology to ensure that machine learning models are deployed, managed, and monitored effectively in production environments and to enhance the end-to-end lifecycle of machine learning (ML) models. For instance, in May 2022, according to a report published by International Business Machines Corporation (IBM), a US-based technology corporation, the adoption rate of AI globally increased significantly and was at 35%, up four points from the previous year. Further, in 2022, 13% more firms are projected to have used AI than in 2021. 35% of organizations reported adopting AI in their company, 42% are considering AI for adoption, and two-thirds of the companies (66%) are either presently executing or intending to utilize AI to meet their sustainability goals. Therefore, the increasing adoption of AI technology is driving the growth of the machine learning model operationalization management (MLOPS) market.
Which geographic trends are shaping the machine learning model operationalization management (mlops) market, and which region has the highest market share?
North America was the largest region in the machine learning model operationalization management (MLOPS) market in 2024. The regions covered in the machine learning model operationalization management (mlops) market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
What Does The Machine Learning Model Operationalization Management (MLOPS) Market Report 2025 Offer?
The machine learning model operationalization management (mlops) market research report from The Business Research Company offers global market size, growth rate, regional shares, competitor analysis, detailed segments, trends, and opportunities.
Machine learning model operationalization management (MLOps) refers to the process of preparing and deploying machine learning models in a production environment. It involves the integration of machine learning models into business applications, analytical platforms, and other systems to ensure that they work efficiently.
Purchase the exclusive report now to unlock valuable market insights:
https://www.thebusinessresearchcompany.com/purchaseoptions.aspx?id=13696
About The Business Research Company
With over 15000+ reports from 27 industries covering 60+ geographies, The Business Research Company has built a reputation for offering comprehensive, data-rich research and insights. Armed with 1,500,000 datasets, the optimistic contribution of in-depth secondary research, and unique insights from industry leaders, you can get the information you need to stay ahead.
Our flagship product, the Global Market Model, is a premier market intelligence platform delivering comprehensive and updated forecasts to support informed decision-making.
Contact Us:
The Business Research Company
Europe: +44 207 1930 708
Asia: +91 88972 63534
Americas: +1 315 623 0293
Email: info@tbrc.info
Follow Us On:
LinkedIn: https://in.linkedin.com/company/the-business-research-company
Twitter: https://twitter.com/tbrc_info
Facebook: https://www.facebook.com/TheBusinessResearchCompany
YouTube: https://www.youtube.com/channel/UC24_fI0rV8cR5DxlCpgmyFQ
Blog: https://blog.tbrc.info/
Healthcare Blog: https://healthcareresearchreports.com/
Global Market Model: https://www.thebusinessresearchcompany.com/global-market-model
