ModelOps Global Market Report 2025

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.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

The sharp rise in U.S. tariffs and the ensuing trade tensions in spring 2025 are having a significant impact on the information technology sector, especially in hardware manufacturing, data infrastructure, and software deployment. Increased duties on imported semiconductors, circuit boards, and networking equipment have driven up production and operating costs for tech companies, cloud service providers, and data centers. Firms that depend on globally sourced components for laptops, servers, and consumer electronics are grappling with extended lead times and mounting pricing pressures. At the same time, tariffs on specialized software and retaliatory actions by key international markets have disrupted global IT supply chains and dampened foreign demand for U.S.-made technologies. In response, the sector is ramping up investments in domestic chip production, broadening its supplier network, and leveraging AI-powered automation to improve resilience and manage costs more effectively.

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 $7.97 billion in 2025 at a compound annual growth rate (CAGR) of 41.8%. The growth in the historic period can be attributed to the increasing use of machine learning, the explosion of big data, the demand for real-time or near-real-time decision-making, rising automation, and rising 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 $32.18 billion in 2029 at a compound annual growth rate (CAGR) of 41.7%. The growth in the forecast period can be attributed to rising cloud computing adoption, increasing focus on data security and privacy concerns, rising growth in the telecommunications industry, growth in data generation, and growth of small and medium-sized enterprise. Major trends in the forecast period include integrating internet of things (IoT) devices, self-optimizing and adaptive models, and no-code/low-code modelops platforms, Advancements In Modelops Solutions, and technological advancements.

The forecast of 41.7% growth over the next five years reflects a modest reduction of 0.5% from the previous estimate for this market. This reduction is primarily due to the impact of tariffs between the US and other countries. Tariff enforcement is expected to hinder the U.S. through rising costs of AI infrastructure components like GPUs and accelerators, often imported from Taiwan and South Korea, potentially slowing ModelOps deployment and lifecycle management. The effect will also be felt more widely due to reciprocal tariffs and the negative effect on the global economy and trade due to increased trade tensions and restrictions.

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.

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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, including technological disruption, regulatory shifts, and changing consumer preferences? 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 market characteristics section of the report defines and explains the market.
• The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
• The forecasts are made after considering the major factors currently impacting the market. These include:

The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.

• Market segmentations break down the market into sub markets.
• The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
• The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
• The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.

Scope

• Markets Covered:1) By Model Type: Machine Learning (ML) Models; Graph-Based Models; Rule And Heuristic Models; Linguistic Models; Agent-Based Models; Bring Your Own Models; Other Model Types
• 2) By Offering: Platforms; Deployment Mode; Services
• 3) By Application: Continuous Integration And Continuous Deployment; Batch Scoring; Governance, Risk And Compliance; Parallelization And Distributed Computing; Monitoring And Alerting; Dashboard And Reporting; Model Lifecycle Management; Other Application
• 4) By Verticals: Banking, Financial Services And Insurance; Retail And E-Commerce; Healthcare And Life Sciences; Telecommunications; Information Technology (IT) And Information Technology Enabled Services (ITeS); Energy And Utilities; Manufacturing; Transportation And Logistics; Government And Defense; Other Verticals
• Subsegments:
• 1) Machine Learning (ML) Models: Supervised Learning Models; Unsupervised Learning Models; Reinforcement Learning Models; Deep Learning Models
• 2) Graph-Based Models: Knowledge Graphs; Graph Neural Networks (GNNs); Social Network Analysis Models; Recommendation System Models
• 3) Rule And Heuristic Models: Decision Tree Models; Expert Systems; Workflow Automation Models; Business Rule Engines
• 4) Linguistic Models: Natural Language Processing (NLP) Models; Sentiment Analysis Models; Text Classification Models; Speech Recognition Models
• 5) Agent-Based Models: Multi-Agent Simulation Models; Behavioral Models; Autonomous Systems Models; Game-Theoretic Models
• 6) Bring Your Own Models (BYOM): Customized Proprietary Models; Pre-Trained Models from Third-Party Sources; Open-Source Models; Vendor-Specific Adaptable Models
• 7) Other Model Types: Predictive Analytics Models; Probabilistic Models; Optimization Models; Hybrid Models (Combination of Two or More Types)
• Companies Mentioned: 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
• Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
• Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
• Time Series: Five years historic and ten years forecast.
• Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
• Data Segmentations: country and regional historic and forecast data, market share of competitors, market segments.
• Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
• Delivery Format: PDF, Word and Excel Data Dashboard.