The global MLOps market size reached around USD 5.65 Billion in 2025. The market is projected to grow at a CAGR of 32.70% between 2026 and 2035 to reach nearly USD 95.67 Billion by 2035.
Base Year
Historical Period
Forecast Period
Upgrades to Vertex AI’s code-generating model (Codey) have led to a 25% improvement in the quality of major supported languages. This is expected to bolster the MLOPs market expansion.
By using MLOps, organisations can enhance their process efficiency by 30%.
As per industry reports, companies using AI can adopt MLOps practices to increase their EBIT by 20%.
Compound Annual Growth Rate
32.7%
Value in USD Billion
2026-2035
*this image is indicative*
| Global MLOps Market Report Summary | Description | Value |
| Base Year | USD Billion | 2025 |
| Historical Period | USD Billion | 2019-2025 |
| Forecast Period | USD Billion | 2026-2035 |
| Market Size 2025 | USD Billion | 5.65 |
| Market Size 2035 | USD Billion | 95.67 |
| CAGR 2019-2025 | Percentage | XX% |
| CAGR 2026-2035 | Percentage | 32.70% |
| CAGR 2026-2035 - Market by Region | North America | 34.8% |
| CAGR 2026-2035 - Market by Country | India | 36.9% |
| CAGR 2026-2035 - Market by Country | China | 34.7% |
| CAGR 2026-2035 - Market by Component | Platform | 36.6% |
| CAGR 2026-2035 - Market by Deployment Mode | On-Premise | 46.0% |
| Market Share by Country 2025 | France | 3.9% |
By 2030, machine learning is expected to add nearly USD 13 trillion of value to the global economy by successfully enabling workers across all industries to improve their output. As per IBM, 70% of all AI workloads are currently built on a serverless programming model, which has necessitated the adoption of a DevOps culture. This is expected to favourably shape the MLOps market dynamics over the forecast period.
Conventionally, the development and implementation of AI solutions take 9-12 months, which puts large businesses behind rapidly evolving market dynamics. However, companies using MLOps have reportedly taken their projects live within 2-12 weeks of the conception of their first idea. Hence, the MLOps market development is expected to be driven by the rising focus of companies to increase productivity and speed without increasing technical debt.
The market analysis suggests that large organisations shelve 80% of their AI solutions while under development since they cease to provide any value. However, companies using MLOps practices increase value realisation by 60% and shelve a 30% lesser number of models. This can be attributed to the integration of efficacy testing and continuous monitoring models into their workflows, thereby driving the MLOps market growth.
Rising incidences of fraud; proliferation of LLMs; the emergence of Gen AI; and the growth of the energy and materials industry are the major factors favouring the MLOps market expansion
The Federal Trade Commission of the United States reported that Americans lost over USD 5.8 billion to fraud in 2021. This is expected to drive the MLOps market growth as MLOps reduces the susceptibility of financial models to data drifts and ensures better consumer protection.
MLOps processes facilitate the development, deployment and maintenance of LLMs while addressing challenges surrounding bias and ensuring fairness of model outcomes. It also ensures efficient management and versioning of data science models for better reproducibility.
GenAI can improve the MLOps workflow via automation of labour-intensive tasks like data preparation and cleaning, thereby enhancing the efficiency of data science models and enabling engineers and scientists to focus on relatively more strategic tasks. This can accelerate the MLOps market development.
The use of MLOPs has prompted energy and materials companies to predict and prevent the failure of essential equipment, thereby reducing maintenance costs and ensuring employee safety.
Earlier, fraud analysts used to perform manual analysis on fraudulent transactions to build data protection rules. However, MLOps has eliminated this need in the BFSI industry, which has favourably impacted the MLOPs market dynamics. The increasing incidence of fraud incidents is expected to drive the growth of MLOps worldwide, especially in North America.
As per the US Federal Trade Commission, over 2.8 million fraud complaints were registered by American consumers, most of whom were victims of imposter scams. In 2021, it resulted in a loss of nearly USD 2.3 million to consumers, which increased from USD 1.2 billion in 2020. Online shopping fraud also increased, resulting in a loss of USD 392 million in 2021, up from USD 246 million in 2020. This is expected to facilitate the MLOPs market development over the forecast period.
The EMR’s report titled “Global MLOps Market Report and Forecast 2026-2035” offers a detailed analysis of the market based on the following segments:
Market Breakup by Component
Market Breakup by Deployment Mode
Market Breakup by Organisation Size
Market Breakup by Industry Vertical
Market Breakup by Region
| CAGR 2026-2035 - Market by | Country |
| India | 36.9% |
| China | 34.7% |
| USA | 34.4% |
| UK | 31.3% |
| France | 28.5% |
| Canada | XX% |
| Germany | XX% |
| Italy | 27.5% |
| Japan | XX% |
| Australia | XX% |
| Saudi Arabia | XX% |
| Mexico | XX% |
| Brazil | 26.4% |
Based on region, the market is segmented into North America, Europe, the Asia Pacific, Latin America, and the Middle East and Africa. Over the forecast period of 2024-32, North America is estimated to grow at a CAGR of 34.8% due to the increasing adoption of AI models for upscaling business productivity and efficiency. The MLOps market revenue is rising, as MLOps platforms enable businesses to streamline the machine learning lifecycle, which enables faster deployment of data science models.
Major players are expected to make significant investments towards adopting MLOps, thereby increasing the MLOps market revenue.
Akira AI was founded in 2023 and is headquartered in Dubai, UAE. It is a data infrastructure company which specialises in providing MLOps, LLMOps, ModelOps, and other platforms for responsible AI development.
Dataiku was founded in 2013 and is headquartered in New York, United States. It is a software development company which is engaged in designing, developing, and deploying new AI capabilities for businesses across numerous industries.
Cloudera, Inc. was founded in 2008 and is headquartered in California, United States. It is a software development company which specialises in cloud computing and data engineering services.
DataRobot, Inc. was founded in 2012 and is headquartered in Massachusetts, United States. It specialises in providing artificial intelligence, machine learning, data science, and time series modelling services to enterprises.
*Please note that this is only a partial list; the complete list of key players is available in the full report. Additionally, the list of key players can be customized to better suit your needs.*
Other players included in the MLOps market report are International Business Machines Corporation, Microsoft Corporation, Alphabet Inc., Amazon Web Services, Inc., HP Development Company, L.P., and Alteryx, Inc., among others.
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*While we strive to always give you current and accurate information, the numbers depicted on the website are indicative and may differ from the actual numbers in the main report. At Expert Market Research, we aim to bring you the latest insights and trends in the market. Using our analyses and forecasts, stakeholders can understand the market dynamics, navigate challenges, and capitalize on opportunities to make data-driven strategic decisions.*
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In 2025, the market reached an approximate value of USD 5.65 Billion.
The market is projected to grow at a CAGR of 32.70% between 2026 and 2035.
The market is estimated to witness healthy growth in the forecast period of 2026-2035 to reach a value of around USD 95.67 Billion by 2035.
The different regions considered in the market report include North America, Europe, the Asia Pacific, Latin America, and the Middle East and Africa.
The different components of MLOps platform and service.
The different deployment modes for MLOps are on-premise and cloud.
The different organisation sizes in the market are large enterprises and small and medium-sized enterprises.
Key players in the market are International Business Machines Corporation, Microsoft Corporation, Alphabet Inc., Amazon Web Services, Inc., HP Development Company, L.P., Akira AI, DataRobot, Inc., Dataiku, Cloudera, Inc., and Alteryx, Inc., among others.
Explore our key highlights of the report and gain a concise overview of key findings, trends, and actionable insights that will empower your strategic decisions.
| REPORT FEATURES | DETAILS |
| Base Year | 2025 |
| Historical Period | 2019-2025 |
| Forecast Period | 2026-2035 |
| Scope of the Report |
Historical and Forecast Trends, Industry Drivers and Constraints, Historical and Forecast Market Analysis by Segment:
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| Breakup by Component |
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| Breakup by Deployment Mode |
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| Breakup by Organization Size |
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| Breakup by Industry Vertical |
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| Breakup by Region |
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| Market Dynamics |
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| Competitive Landscape |
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| Companies Covered |
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