AUSTIN, Dec. 3, 2025 (Globe Newswire) — MLOps market Its size was valued at USD 1.3 billion in 2023. It is expected to grow to USD 29.6 billion by 2032, growing at a CAGR of 41.6% during the forecast period (2024-2032).
The need for MLOps solutions is growing as more people realize how AI and machine learning can revolutionize operational efficiency and enterprise creativity.
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Increased adoption of machine learning and artificial intelligence
There is a growing need for cloud-based MLOps solutions to help enterprises build their machine learning efforts. As a result of the increased use of AI and ML technologies by various enterprises, the issue of managing multiple ML models has become particularly important. Cloud-based MLOps solutions provide businesses with a frictionless answer to this problem. First of all, it ensures great efficiency and scalability of the infrastructure. Therefore, enterprises can dynamically manage cloud implementation resources based on the amount of uploaded data, models, and required computing power, and enjoy significant benefits in workload management. Second, the platform enhances collaboration between data scientists, engineers, and business professionals by running all the tools they need in the cloud.
Segmentation analysis:
By component
The platform segment holds the largest market share with over 64% as of 2023. The MLOps platform is delivered as a comprehensive tool with a variety of integration services to cover the full range of tasks required to support this lifecycle. They enhance collaboration between data scientists, engineers, IT departments, and more, ensuring that everyone involved experiences simplified and easier operations.
By deployment
The cloud sector held the largest market share of approximately 42% in 2023. Cloud-based solutions are widely popular today due to their scalability and flexibility. This is a feature that allows organizations to manage and deploy machine learning solutions without the need for large ground facilities.
By end use
The IT and communications segment held the largest market share of approximately 30% in 2023. IT and Telecommunications is dominant in its specific functions and hence the demand for solutions and products is very high. Companies operating in this sector need to explore new and more efficient ways of working, reduce costs and improve the quality of their products and services.
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Regional insights:
North America dominated the market, accounting for over 44% of global revenue in 2023. As the strong research and development capabilities of Al in developed economies, research centers, and several major Al companies based in this region. Increased investment in cutting-edge technologies to improve corporate processes and customer experience is expected to create profitable growth opportunities in North America.
The Asia-Pacific region is expected to exhibit the highest CAGR during the forecast period. Cloud computing is growing rapidly in the region, with large companies such as Google, Microsoft, and Amazon Web Services, Inc. expanding their presence. Cloud-based MLOps solutions are expected to become increasingly popular in this space as enterprises take advantage of the scalability and flexibility of cloud infrastructure. Additionally, governments and businesses in the APAC region are investing heavily in AI and machine learning.
Major players:
- IBM Corporation (IBM Watson Studio)
- GAVS Technologies (MLOps.ai)
- Amazon Web Services, Inc. (Amazon SageMaker)
- Databricks, Inc. (Databricks Unified Analytics Platform)
- DataRobot Co., Ltd. (DataRobot MLOps)
- Microsoft Corporation (Azure Machine Learning)
- Cloudera, Inc. (Cloudera Machine Learning)
- Akira AI (Akira AI Platform)
- Alteryx (Alteryx Designer)
- Google LLC (Google AI Platform)
- H2O.ai (H2O Driverless AI)
- NVIDIA Corporation (NVIDIA Triton Inference Server)
- Tecton (Tecton Feature Store)
- Paper Space (Paper Space Gradient)
- Kubeflow (Kubeflow pipeline)
- MLflow (MLflow tracking)
- Seldon Technologies (Seldon Core)
- ClearML (ClearML Platform)
- Weights and Bias (WandB)
- Neptune.ai (Neptune.ai)
MLOps Market Report Scope:
| Report attributes | detail |
| Market size in 2023 | 1.3 billion USD |
| Market size by 2032 | $29.6 billion |
| CAGR | CAGR from 2024 to 2032 is 41.6% |
| base year | 2023 |
| Forecast period | 2024-2032 |
| Past data | 2020-2022 |
| Report scope and scope | Market size, segment analysis, competitive environment, regional analysis, DROC and SWOT analysis, forecast outlook |
| Major segments | • By component (platform, service) • By deployment mode (on-premises, cloud) • By organization size (large companies, SMEs) • By end-use sector (IT, Telecom Services, Government, BFSI, Retail, Consumer Goods, Transportation, Others) |
| Customization range | available on request |
| Pricing | available on request |
Recent developments:
- April 2023Canonical Ltd. has launched Charmed Kubeflow, a machine learning operations toolkit, on Amazon Web Services Inc.’s cloud marketplace. This new release is planned for enterprises looking to start their ML and AI journey.
- in 2023AWS has introduced new features to Amazon SageMaker, including SageMaker Canvas for visual data science and SageMaker Model Registry, to improve the management of machine learning models.
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Dedicated section of the report (USP):
- Emerging technology adoption rate – Helps understand how enterprises are rapidly integrating next-generation MLOps capabilities, such as automated model monitoring, feature stores, and CI/CD for ML, across key industries.
- Expansion of regional network infrastructure – Help assess which regions are hardening their data and compute infrastructure to enable scalable MLOps deployments and cloud-native ML workflows.
- Cybersecurity Incident Index (2020–2023) – Identify areas of high security vulnerability and guide risk assessment for ML model deployment, data governance, and infrastructure protection.
- Cloud service usage trends – Helps you evaluate your migration to cloud-based MLOps platforms and understand regional differences in the deployment of AWS, Azure, GCP, and hybrid environments.
- competitive environment – Helps assess the competitive position of leading vendors offering MLOps tools, backed by insights on market scope, innovation pipeline, and recent technological advances.
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