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ID : CBI_3307 | Updated on : | Author : CBI | Category : IT And Telecommunications
ModelOps Market size is estimated to reach over USD 62.96 Billion by 2032 from a value of USD 5.15 Billion in 2024 and is projected to grow by USD 6.93 Billion in 2025, growing at a CAGR of 31.8% from 2025 to 2032.
ModelOps (model operationalization) focuses on the governance and lifecycle management of various operationalized AI and decision models, including machine learning, knowledge graphs, rules, and optimization models. It includes a wider range of AI models and emphasizes robust governance and lifecycle management. Moreover, modelOps provides relevant frameworks for managing and controlling the lifecycle of AI models while ensuring they adhere to established policies, regulations, and standards.
AI is significantly influencing the modelOps market, driving its growth and evolution. AI-powered tools and automation are streamlining the deployment, monitoring, and management of AI models, leading to more efficient and scalable AI solutions across various industries. Moreover, model operationalization solutions focus on managing the entire lifecycle of AI and machine learning models, ranging from development and deployment to monitoring and maintenance. As a result, the rising trend of automation and increasing adoption of AI models are increasing the demand for model operationalization platform to provide relevant frameworks for managing and controlling the lifecycle of AI models. Hence, the above factors are expected to drive the market growth in the upcoming years.
There is a rising adoption of AI and ML solutions across several industries to facilitate automation and improved operational efficiency. Moreover, businesses are increasingly integrating AI and ML into their operations to gain a competitive edge, enhance efficiency, and personalize customer experiences. As AI and ML models become more prevalent across various industries, the need to effectively manage, deploy, and monitor these models in production environments becomes crucial. This is further driving the adoption of modelOps for providing the necessary framework for continuous integration, delivery, and lifecycle management of AI/ML models.
Thus, the rising adoption of AI and ML solutions, along with increasing demand for governance and lifecycle management solutions for various operationalized AI and decision models, are driving the modelOps market size.
The implementation of model operationalization solutions is often associated with certain operational limitations and challenges, which are among the primary factors restraining the market. The key challenges related to the deployment of model operationalization solutions include managing the complexity of model ecosystems, ensuring governance and compliance, addressing operational bottlenecks, and automating model monitoring and maintenance.
Organizations often use a combination of models developed in different environments and using various tools. Coordinating these models and ensuring they work together smoothly is one of the major challenges. Additionally, manual processes and data silos between development and operations teams can hinder the smooth deployment and updates of models. Thus, the above operational limitations and challenges associated with the deployment of model operationalization solutions are hindering the modelOps market expansion.
Model operationalization solution providers are frequently investing in the development of new technologies associated with modelOps to ensure its safe and effective utilization in several industries such as BFSI, telecom & IT, retail, healthcare, government & defense, and other sectors. As a result, model operationalization solution providers are launching new solutions integrated with advanced technologies and features, thereby providing lucrative aspects for market development.
Hence, according to the analysis, the rising technological advancements associated with model operationalization solutions are projected to boost the modelOps market opportunities during the forecast period.
Based on offering, the market is segmented into platform and services.
Trends in the offering:
The platform segment accounted for the largest revenue share in the modelOps market share in 2024, and it is anticipated to register a significant CAGR during the forecast period.
Based on deployment, the market is segmented into on-premise, cloud, and hybrid.
Trends in the deployment:
The cloud segment accounted for the largest revenue share of 55.64% in the overall modelOps market share in 2024, and it is anticipated to register the fastest CAGR during the forecast period.
Based on enterprise type, the market is segmented into large enterprise and small and medium enterprise (SME).
Trends in the enterprise type:
Large enterprise segment accounted for the largest revenue in the overall market in 2024.
Small and medium enterprise (SME) segment is anticipated to register the fastest CAGR during the forecast period.
Based on the end user, the market is segmented into BFSI, IT & telecom, healthcare, retail & e-commerce, manufacturing, government & defense, and others.
Trends in the end user:
The BFSI segment accounted for a substantial revenue in the market in 2024.
The healthcare segment is anticipated to register the fastest CAGR during the forecast period.
The regions covered are North America, Europe, Asia Pacific, the Middle East and Africa, and Latin America.
Asia Pacific region was valued at USD 1.10 Billion in 2024. Moreover, it is projected to grow by USD 1.48 Billion in 2025 and reach over USD 13.95 Billion by 2032. Out of this, China accounted for the maximum revenue share of 34.52%. As per the modelOps market analysis, the adoption of model operationalization solutions in the Asia-Pacific region is primarily driven by the growing IT, healthcare, and BFSI sectors, among others. Additionally, the growing retail & e-commerce sector and increasing adoption of model operationalization solutions among retail enterprises for managing, deploying, monitoring, and governing AI/ML models used in various business processes are further accelerating the modelOps market expansion.
North America is estimated to reach over USD 26.01 Billion by 2032 from a value of USD 2.12 Billion in 2024 and is projected to grow by USD 2.86 Billion in 2025. In North America, the growth of the modelOps industry is driven by growing investments for AI integration in BFSI, healthcare, government & defense, retail, and other sectors. Moreover, the increasing need for AI solutions in BFSI sector for streamlining banking operations and increasing operational efficiency is further contributing to the modelOps market demand.
Meanwhile, according to the regional analysis, factors including growing manufacturing, BFSI, and healthcare sectors, combined with the increasing adoption of AI/ML solutions among business enterprises, are driving the modelOps market demand in Europe. Furthermore, according to the market analysis, the market demand in Latin America, Middle East, and African regions is expected to grow at a considerable rate due to factors such as rising development of retail & e-commerce businesses, increasing investments in healthcare facilities, prevalence of several initiatives for AI adoption among business enterprises, and other related factors.
The global modelOps market is highly competitive with major players providing products to the national and international markets. Key players are adopting several strategies in research and development (R&D), product innovation, and end-user launches to hold a strong position in the modelOps market. Key players in the modelOps industry include-
Product Launch:
Report Attributes | Report Details |
Study Timeline | 2019-2032 |
Market Size in 2032 | USD 62.96 Billion |
CAGR (2025-2032) | 31.8% |
By Offering |
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By Deployment |
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By Enterprise Type |
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By End User |
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By Region |
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Key Players |
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North America | U.S. Canada Mexico |
Europe | U.K. Germany France Spain Italy Russia Benelux Rest of Europe |
APAC | China South Korea Japan India Australia ASEAN Rest of Asia-Pacific |
Middle East and Africa | GCC Turkey South Africa Rest of MEA |
LATAM | Brazil Argentina Chile Rest of LATAM |
Report Coverage |
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The modelOps market was valued at USD 5.15 Billion in 2024 and is projected to grow to USD 62.96 Billion by 2032.
Asia-Pacific is the region experiencing the most rapid growth in the modelOps market.
The modelOps report includes specific segmentation details for offering, deployment, enterprise type, end user, and region.
The key participants in the modelOps market are IBM (USA), TIBCO (USA), Teradata (USA), ModelOp (USA), SAS Institute Inc. (USA), C3.ai, Inc. (USA), Datatron (USA), DataKitchen Inc. (USA), Minitab LLC (USA), Sparkling Logic (USA), and others.