Cloud MLOps market seen topping $7.5 billion by 2030

By AI, Created 5:31 PM UTC, May 18, 2026, /AGP/ – The Business Research Company projects the cloud machine learning operations market will exceed $7 billion by 2030, driven by enterprise demand for automation, scalable AI workflows and SME adoption. North America and the U.S. are expected to lead growth, while platform tools make up the largest share of the market.

Why it matters: - Cloud machine learning operations, or MLOps, is becoming a core layer for companies trying to deploy AI models faster and with less manual work. - The market’s projected growth signals rising spending on tools that manage model development, deployment, monitoring and governance across cloud environments. - The Business Research Company estimates the market will reach $7.5 billion by 2030. - The market is expected to remain a small slice of the broader software and information technology sectors, but its growth rate stands out.

What happened: - The Business Research Company released a forecast on the cloud MLOps market on May 12, 2026. - The report says the market will surpass $7 billion by 2030 and reach $7.5 billion by that year. - North America is projected to be the largest region in 2030, at $2.9 billion. - The U.S. is expected to be the largest country in 2030, at $2.5 billion. - The report also says the market is forecast to grow at a 43% compound annual growth rate through 2030.

The details: - The cloud MLOps market is estimated to represent about 0.2% of the parent software products market by 2030. - It is expected to account for nearly 0.05% of the overall information technology market. - North America is forecast to grow from $0.5 billion in 2025 to $2.9 billion in 2030. - The U.S. market is projected to rise from $0.4 billion in 2025 to $2.5 billion in 2030. - The platform segment is expected to be the largest type category, making up 69% of the market, or about $5 billion, in 2030. - The market is also segmented by deployment mode into cloud-based, on-premises and hybrid MLOps. - Pricing models include subscription-based, usage-based and one-time licensing. - Organization-size segments include large enterprises and SMEs. - Industry verticals include banking, financial services and insurance, manufacturing, information technology and telecom, retail and e-commerce, energy and utility, healthcare, and media and entertainment. - The report says platform demand is supported by end-to-end model management, CI/CD workflows, model monitoring, performance tracking and centralized control across multi-cloud environments. - The platform market is projected to grow by $4 billion from 2025 to 2030. - The services market is projected to grow by $2 billion over the same period. - The report projects the platform and services segments together will add more than $6 billion in market value by 2030. - The company offers a free sample of the report and the full market report.

Between the lines: - The forecast points to AI operations shifting from experimentation to production-scale infrastructure. - Enterprise focus on efficiency is expected to drive adoption by reducing manual intervention and workflow bottlenecks. - Scalable and reliable ML workflows are becoming more important as models spread across more business functions. - SMEs are emerging as a meaningful buyer group because cloud delivery and pay-as-you-go pricing lower upfront costs. - The region and country rankings suggest the strongest near-term demand is concentrated in North America, especially the U.S., where AI startups, cloud providers and enterprise users are already deep into deployment.

What’s next: - The report expects growth to be driven by broader use of automated deployment, model versioning and continuous integration tools. - Continued adoption of cloud-based and hybrid MLOps platforms should support demand through 2030. - Faster uptake among SMEs could expand the market beyond large-enterprise use cases. - The platform segment is likely to remain the main growth engine as companies look for unified systems rather than point tools.

The bottom line: - Cloud MLOps is moving from a niche AI tooling category to a fast-growing market built around automation, governance and production readiness.