What Has Been the Growth of the Machine Learning Model Operationalization Management MLOPS Market So Far?
The machine learning model operationalization management mlops market has seen considerable growth due to a variety of factors.
• The market size for the management of machine learning model operationalization, or MLOPS, has seen an exponential increase in recent times. The market is projected to expand from $2.65 billion in 2024 to a whopping $3.83 billion in 2025, with a compound annual growth rate (CAGR) of 44.8%.
The considerable growth witnessed during the historic period can be linked to the widespread use of machine learning models, the increasing complexity of these models, the rise in data volumes, a growing demand for automation, and the ascension of cloud computing.
What Is the Forecasted Market Size and Growth Rate for The Machine Learning Model Operationalization Management MLOPS Market Size In The Coming Years?
The machine learning model operationalization management mlops market is expected to maintain its strong growth trajectory in upcoming years.
• The market for machine learning model operationalization management (MLOPS) is predicted to witness remarkable growth in the coming years, reaching $16.74 billion by the year 2029 with a CAGR of 44.5%.
The contributing factors to this significant growth during the forecast period are progress in model explainability, alignment with AI governance, wider adoption of model versioning, emphasis on cost reduction, and a rise in solutions specific to various industries. It's observed that the primary trends to look out for include technological advancements, innovation in products, initiatives related to cloud security, and development of web applications.
What Factors Are Driving Growth In The Machine Learning Model Operationalization Management MLOPS Market?
The anticipated rise in the use of AI technology is projected to boost the machine learning model operationalization management (MLOPS) market's growth. AI, or artificial intelligence, involves creating software or computer systems capable of carrying out tasks typically needing human cognition. MLOPS employs AI to make sure that machine learning models are effectively deployed, supervised, and managed in production settings, thereby improving the entire lifecycle of ML models. For example, an IBM report in May 2022 indicated a significant global increase in AI adoption, up four points to 35% from the previous year. Moreover, in 2022, it's expected that 13% more businesses will have utilized AI compared to 2021. 35% of organizations have reportedly integrated AI into their operations, 42% are contemplating AI adoption, and as many as 66% of companies are either currently implementing or plan to leverage AI for their sustainability objectives. Hence, the rising adoption of AI technology propels the success of the machine learning model operationalization management (MLOPS) market.
What Are The Main Segments Of The Global 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
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What Trends Are Shaping The Machine Learning Model Operationalization Management MLOPS Market?
The surge in AI technology acceptance is predicted to stimulate the machine learning model operationalization management (MLOPS) market's growth. AI or artificial intelligence stands for the creation of computer systems or software that have the ability to carry out tasks typically necessitating human intelligence. Machine learning operationalization management leverages AI technology to guarantee effective deployment, management, and monitoring of machine learning models in production environments, and to improve the complete lifecycle of machine learning (ML) models. For example, according to a May 2022 report issued by International Business Machines Corporation (IBM), a US-based tech company, AI's global acceptance rate had experienced a notable increase, standing at 35%, a four-point rise from the previous year. Additionally, the report suggests that in 2022, an estimated 13% more companies will have incorporated AI than in 2021. AI adoption has been reported by 35% of organizations, 42% are contemplating its integration, and two-thirds of businesses (66%) are either currently deploying or planning to apply AI to achieve their sustainability objectives. Hence, the escalating integration of AI technology is propelling the MLOPS market's growth.
Who Are the Key Players In 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.
• AibleInc.
• AlgorithmiaInc.
• KNIME AG
What Is The Most Dominant Region In The Machine Learning Model Operationalization Management MLOPS Market?
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.
