Built to provide research that’s more actionable and strategically valuable, The Business Research Company’s 2026 market reports include market attractiveness analysis, total addressable market sizing, company benchmarking matrices, interactive Excel dashboards, broader supply chain intelligence, emerging startup tracking, and in-depth product insights.
#ModelOps Market Size Forecast: How Big Could The Market Get By 2030?#_x000D_
The modelops market has experienced significant expansion in its size over recent years. The market is projected to expand from $7.97 billion in 2025 to $11.33 billion in 2026, demonstrating a compound annual growth rate (CAGR) of 42.1%. Factors such as the increasing adoption of machine learning, rising volumes of enterprise data, the need for reliable models, the emergence of AI-driven decision making, and the expansion of cloud infrastructure are key contributors to this historical growth._x000D_
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The modelops market is anticipated to experience substantial expansion in the upcoming years. It is projected to achieve a value of $45.27 billion in 2030, demonstrating a compound annual growth rate (CAGR) of 41.4%. This growth during the forecast period can be primarily attributed to factors like the necessity for regulatory compliance for AI models, the escalating demand for real-time model updates, the seamless integration of modelops with devops practices, the proliferation of autonomous systems, and the push for enterprise AI standardization. Noteworthy trends expected in this period encompass automated model deployment, continuous model performance monitoring, the establishment of robust model governance frameworks, scalable model lifecycle management, and cross-platform model integration._x000D_
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#ModelOps Market Development Factors: What’s Supporting Demand?#_x000D_
The increasing expansion within the telecommunications sector is projected to fuel the advancement of the modelops market moving ahead. This industry delivers the essential infrastructure and services for transferring data, voice, and video content via both wired and wireless network systems. Its growth stems from various factors, such as the rollout of 5G, developments in cloud and edge computing, efforts to connect rural areas, and ongoing digital transformation. Modelops supports the telecommunications industry by automating the deployment and management of artificial intelligence models, thereby enhancing network performance and elevating customer experiences. For example, as reported by Deutsche Telekom, a Germany-based telecommunications company, in February 2024, worldwide telecommunications service revenue grew by 3.3% year-on-year in 2023, while in Europe, the average monthly mobile data usage per person climbed to 16 GB, representing a 23% increase annually. Consequently, the expanding telecommunications industry is a key driver for the modelops market’s development._x000D_
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#ModelOps Market Segment Breakdown: Which Categories Lead On Revenue?#_x000D_
The modelops market covered in this report is segmented – _x000D_
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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_x000D_
2) By Offering: Platforms, Deployment Mode, Services_x000D_
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_x000D_
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_x000D_
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Subsegments:_x000D_
1) By Machine Learning (ML) Models: Supervised Learning Models, Unsupervised Learning Models, Reinforcement Learning Models, Deep Learning Models _x000D_
2) By Graph-Based Models: Knowledge Graphs, Graph Neural Networks (GNNs), Social Network Analysis Models, Recommendation System Models _x000D_
3) By Rule And Heuristic Models: Decision Tree Models, Expert Systems, Workflow Automation Models, Business Rule Engines _x000D_
4) By Linguistic Models: Natural Language Processing (NLP) Models, Sentiment Analysis Models, Text Classification Models, Speech Recognition Models _x000D_
5) By Agent-Based Models: Multi-Agent Simulation Models, Behavioral Models, Autonomous Systems Models, Game-Theoretic Models _x000D_
6) By Bring Your Own Models (BYOM): Customized Proprietary Models, Pre-Trained Models from Third-Party Sources, Open-Source Models, Vendor-Specific Adaptable Models _x000D_
7) By Other Model Types: Predictive Analytics Models, Probabilistic Models, Optimization Models, Hybrid Models_x000D_
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#ModelOps Market Transformation Trends: What Innovations Are Driving Change?#_x000D_
Leading companies operating in the ModelOps market are concentrating on forging strategic collaborations to enhance the scalability, governance, and operational efficiency of artificial intelligence model deployment across enterprise environments. These strategic collaborations represent formal partnerships between technology providers that combine complementary capabilities, enabling organizations to streamline model lifecycle management, improve interoperability, and accelerate the transition from model development to production. As an example, in July 2024, Teradata, a US-based provider of cloud analytics and enterprise data platforms, revealed a partnership with DataRobot, a US-based enterprise artificial intelligence platform. This alliance is set to integrate DataRobot’s AI models into Teradata’s VantageCloud and ClearScape Analytics via bring-your-own-model (BYOM) capabilities, empowering enterprises to operationalize models at scale directly within their data environment and fortify end-to-end ModelOps workflows._x000D_
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#ModelOps Market Leading Players And Competitive Positioning#_x000D_
Major companies operating in the modelops market are Microsoft Corporation, International Business Machines Corporation IBM, Oracle Corporation, SAS Institute Inc., Teradata Corporation, TIBCO Software Inc., C3AI Inc., Veritone Inc., H2OAI Inc., DataKitchen Inc., ModelOp Inc., Datatron Technologies Inc., Verta Inc., Superwiseai, Google LLC, Amazon Web Services AWS, DataRobot Inc., Domino Data Lab Inc., Cloudera Inc., Palantir Technologies, Altair Engineering Inc., Comet ML, Evidently AI, Seldon Technologies, Weights & Biases, Cnvrgio, Dataiku, ValohAI _x000D_
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#View The Full ModelOps Market Report:#_x000D_
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#ModelOps Market Global Footprint: Which Region Leads The Market?#_x000D_
North America was the largest region in the modelops market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the modelops market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa._x000D_
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Wasay has over a decade of experience in market research, data modelling, and analytics, with prior experience at GlobalData and Decision Tree Consulting Services. At The Business Research Company , he leads research operations across syndicated studies, customized consulting engagements, and the Global Market Model platform. His professional experience includes supporting organizations such as Boston Consulting Group, KPMG, and Ernst & Young. Wasay holds a degree in Electronics and Communications Engineering, postgraduate management qualifications from International Management Institute Belgium and Indian School of Business and Entrepreneurship, and completed the Integrated Program in Business Analytics from Indian Institute of Management Indore.
