The global MLOps market size is expected to reach USD 16,613.4 million by 2030, according to a new report by Grand View Research, Inc. The market is anticipated to grow at a CAGR of 40.5% from 2025 to 2030. To gain insights from the data and best catering the customers' needs, organizations are adopting ML/AI-based projects to increase their revenue opportunities. These projects necessitate the adoption of ML and MLOps across businesses to improve their productivity and operations, which, in turn, strengthens the demand in the future. Enterprises have also invested in MLOps infrastructure, which includes the processes, resources, and tooling needed to train, develop, and operate machine learning models to ease the growing complexity of their IT needs.
Moreover, these platforms assist in reducing costs over the entire ML lifecycle and produce numerous prospects for the growth of the market. Enterprises globally are persuaded to increase their investment in AI/ML systems to achieve a competitive edge through better customer insights and increased employee productivity. Such automation systems can accurately and quickly analyze data and use complex algorithms to forecast future steps, eventually enhancing enterprises' productivity. For instance, in January 2023, Semantix, a cognitive computing company, announced the acquisition of Elemeno Inc., a cloud-managed MLOps platform provider.
Elemeno aims explicitly to automate ML software's deployment, development, and management with an easy-to-use interface. It also intends to accelerate artificial intelligence adoption for enterprises and organizations. Moreover, MLOps have revolutionized enterprise management by consolidating workflow management tools and trend forecasting. Furthermore, a rise in investment in ML technology remarkably contributes to demand expansion. In addition, many tech organizations and small start-ups have invested in adopting non-proprietary MLOps platforms to improve efficiency in their value chains, propelling global growth. Moreover, increasing of high-quality, affordable automated technology availability is expected to drive growth in the coming years.
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The platform segment led the market in 2024, accounting for the highest share of the global revenue owing to its feature of optimizing the management and operation of ML models.
The On-premises segment held the largest revenue share in 2024. This is attributed to the numerous benefits offered by the On-premises deployment, such as high data safety and security.
The large enterprises segment led the market in 2024, accounting for significant share of the global revenue owing to the growing implementation of Al technology and data science across large enterprises to present quantitative insights into their operations.
The BFSI segment held the largest revenue share in 2024. The adoption of machine learning by the financial sector has been on the rise, primarily for solving specific challenges such as yield management, predictive maintenance of legacy systems, and fraud detection.
North America dominated the market in 2024, accounting for over 40.8% share of the global revenue owing to Al's intense research and development competencies in the developed economies, research institutes, and various leading Al companies based in this region.
Grand View Research has segmented the global MLOps market on the basis of component, deployment, organization size, vertical, and region:
MLOps Component Outlook (Revenue, USD Billion, 2017 - 2030)
Platform
Service
MLOps Deployment Outlook (Revenue, USD Billion, 2017 - 2030)
Cloud
On-premises
MLOps Organization Size Outlook (Revenue, USD Billion, 2017 - 2030)
SMEs
Large Enterprises
MLOps Vertical Outlook (Revenue, USD Billion, 2017 - 2030)
BFSI
Healthcare & Life Sciences
Retail & E-Commerce
IT & Telecom
Energy & Utilities
Government & Public Sector
Media & Entertainment
Others
MLOps Regional Outlook (Revenue, USD Billion, 2017 - 2030)
North America
U.S.
Canada
Europe
Germany
UK
Asia Pacific
China
Japan
India
South Korea
Australia
Latin America
Brazil
Mexico
Middle East and Africa (MEA)
Kingdom of Saudi Arabia
UAE
South Africa
List of Key Players of MLOps Market
IBM Corporation
Microsoft
Google LLC
Amazon Web Services, Inc.
Hewlett Packard Enterprise Development LP
Neptune Labs, Inc.
DataRobot, Inc.
Dataiku.
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