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ModelOps Global Market Report 2025
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ModelOps (Model Operations) refers to the comprehensive management, deployment, monitoring, and governance of machine learning models in production. It focuses on automating and optimizing the lifecycle of models, from development to scaling and retraining, ensuring model performance, compliance, and reliability in business operations.

The main types of ModelOps include machine learning (ML) models, graph-based models, rule and heuristic models, linguistic models, agent-based models, bring-your-own models, and others. Machine learning (ML) models are algorithms that enable computers to learn from data and make predictions or decisions without explicit programming. ModelOps solutions include platforms, deployment modes, and services for various applications such as continuous integration and continuous deployment, batch scoring, governance, risk and compliance, parallelization and distributed computing, monitoring and alerting, dashboard and reporting, and model lifecycle management. These solutions serve a wide range of industries, including banking, financial services, and insurance, retail and e-commerce, healthcare and life sciences, telecommunications, IT and IT-enabled services (ITeS), energy and utilities, manufacturing, transportation and logistics, government and defense, and more.

The modelops market research report is one of a series of new reports from The Business Research Company that provides modelops market statistics, including the modelops industry's global market size, regional shares, competitors with a modelops market share, detailed modelops market segments, market trends and opportunities, and any further data you may need to thrive in the modelops industry. This modelops market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.

The modelops market size has grown exponentially in recent years. It will grow from $5.62 billion in 2024 to $8.01 billion in 2025 at a compound annual growth rate (CAGR) of 42.5%. The growth observed during the historic period can be attributed to the growing adoption of machine learning, the rapid expansion of big data, the increasing demand for real-time or near-real-time decision-making, rising automation, and a heightened need for model governance and compliance.

The modelops market size is expected to see exponential growth in the next few years. It will grow to $32.8 billion in 2029 at a compound annual growth rate (CAGR) of 42.2%. The growth projected for the forecast period can be attributed to the increasing adoption of cloud computing, growing concerns around data security and privacy, the expansion of the telecommunications industry, the rise in data generation, and the growth of small and medium-sized enterprises. Key trends during this period include the integration of Internet of Things (IoT) devices, the development of self-optimizing and adaptive models, the rise of no-code/low-code ModelOps platforms, advancements in ModelOps solutions, and continued technological innovations.

The growth of the telecommunications industry is expected to significantly drive the expansion of the ModelOps market. Telecommunications companies provide the infrastructure and services that facilitate the transmission of data, voice, and video through both wired and wireless networks. This industry is experiencing growth due to factors such as the deployment of 5G technology, the rise of cloud and edge computing, initiatives to improve rural connectivity, and ongoing digital transformation. ModelOps plays a crucial role in the telecommunications sector by automating the deployment and management of artificial intelligence models, enhancing network performance, and improving customer experiences. For example, according to Deutsche Telekom's Annual Report 2023, global telecommunications service revenue grew by 3.3% year-on-year in 2023. In Europe, the average monthly mobile data consumption per user increased by 23% from the previous year, reaching 16 GB. This expansion in the telecommunications industry is helping to drive the growth of the ModelOps market.

Leading companies in the ModelOps market are focusing on developing innovative solutions, such as providing self-service access to select algorithms, which allows users to manage models without needing extensive programming knowledge. Self-service access empowers users such as data scientists and developers to independently deploy, manage, and monitor machine learning models, reducing reliance on IT teams. For example, in July 2022, TIBCO Software Inc., a US-based software development company, launched TIBCO ModelOps, a solution designed to improve the deployment and management of AI models across organizations. This platform accelerates AI deployment by leveraging expertise in data science, visualization, and business intelligence, addressing key challenges such as algorithm transparency, bias mitigation, and integration with business applications. It supports all model formats and allows seamless deployment in both cloud and on-premises environments with full governance. This solution enhances scalability and control, enabling businesses to efficiently manage thousands of models.

In January 2023, McKinsey & Company, a US-based management consulting firm, acquired Iguazio for an undisclosed amount. This acquisition aims to bolster McKinsey's data engineering and AI capabilities by integrating Iguazio's advanced data analytics platform into its consulting services. The integration allows McKinsey's clients to make more informed decisions based on real-time data insights. Iguazio, an Israel-based software development company, specializes in machine learning operations.

Major players in the modelOps market are Microsoft Corporation, International Business Machines Corporation (IBM), Oracle Corporation, SAS Institute Inc., Teradata Corporation, Alteryx Inc., TIBCO Software Inc., C3.ai Inc., Veritone Inc., Minitab LLC, H2O.ai Inc., LeewayHertz Technologies LLC, Signity Solutions, DataKitchen Inc., Xenonstack Inc., ModelOp Inc., Datatron Technologies Inc., Verta Inc., Sparkling Logic Inc., Superwise.ai.

North America was the largest region in the modelops market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in modelOps report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.

The countries covered in the modelOps market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The modelOps market includes revenues earned by entities by model creation, version control, and updates. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

ModelOps Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on modelops market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

Reasons to Purchase

Where is the largest and fastest growing market for modelops ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The modelops market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

The forecasts are made after considering the major factors currently impacting the market. These include the Russia-Ukraine war, rising inflation, higher interest rates, and the legacy of the COVID-19 pandemic.

Scope

Table of Contents

1. Executive Summary

2. ModelOps Market Characteristics

3. ModelOps Market Trends And Strategies

4. ModelOps Market - Macro Economic Scenario Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics And Covid And Recovery On The Market

5. Global ModelOps Growth Analysis And Strategic Analysis Framework

6. ModelOps Market Segmentation

7. ModelOps Market Regional And Country Analysis

8. Asia-Pacific ModelOps Market

9. China ModelOps Market

10. India ModelOps Market

11. Japan ModelOps Market

12. Australia ModelOps Market

13. Indonesia ModelOps Market

14. South Korea ModelOps Market

15. Western Europe ModelOps Market

16. UK ModelOps Market

17. Germany ModelOps Market

18. France ModelOps Market

19. Italy ModelOps Market

20. Spain ModelOps Market

21. Eastern Europe ModelOps Market

22. Russia ModelOps Market

23. North America ModelOps Market

24. USA ModelOps Market

25. Canada ModelOps Market

26. South America ModelOps Market

27. Brazil ModelOps Market

28. Middle East ModelOps Market

29. Africa ModelOps Market

30. ModelOps Market Competitive Landscape And Company Profiles

31. ModelOps Market Other Major And Innovative Companies

32. Global ModelOps Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The ModelOps Market

34. Recent Developments In The ModelOps Market

35. ModelOps Market High Potential Countries, Segments and Strategies

36. Appendix

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