MLOps Market Size

MLOps Market Size

The global MLOps market was valued at USD 1.7 billion in 2024 and is projected to grow at a CAGR of 37.4% between 2025 and 2034. The widespread shift toward cloud computing has been a significant driver for the market.

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Cloud platforms provide the scalability needed to handle large datasets and complex machine learning workflows. With cloud-based MLOps solutions, organizations can deploy machine learning models across multiple environments, ensuring flexibility, performance, and scalability without the need for significant on-premises infrastructure.

For instance, in May 2024, Snowflake announced expanded MLOps capabilities, aimed at improving the management of machine learning (ML) features and models. These updates address challenges faced by enterprises struggling with fragmented and complex ML workflows. The new features include the Snowflake Model Registry, which provides scalable cloud-based model management and inference, and the Snowflake Feature Store in public preview, enabling integrated management of ML features for consistent and fresh data across ML pipelines.

In today’s fast-paced business environment, companies are increasingly focused on reducing time-to-market for new machine learning models. Speed is crucial in gaining a competitive edge, and MLOps enables the rapid development, testing, and deployment of machine learning solutions. MLOps platforms offer features such as continuous integration and continuous deployment (CI/CD), automating processes that traditionally required significant manual intervention. This automation not only accelerates the deployment cycle but also ensures that models can be continuously improved and scaled without downtime.