ModelOps Market Forecast 2025-2034: Analysing Major Trends, Opportunities, and Growth Drivers

What market dynamics are playing a key role in accelerating the growth of the modelops market?
The expanding development in the telecommunications sector is predicted to fuel the growth of the modelops market in the future. This industry offers fundamental systems and services for transferring voice, data, and video through wired, as well as wireless networks. There's an upward surge in this industry due to varied factors like the deployment of 5G, cloud and edge computing, initiatives to improve rural connectivity, and digital transformation. By automating the implementation and regulation of artificial intelligence models, modelops is a massive support to the telecommunications sector. This automation process amplifies network performance and enhances the customer's experience. Taking into consideration the Annual Report 2023 made public by Deutsche Telekom, a firm rooted in Germany operating in telecommunications, global revenue generated by telecommunications service witnessed an annual increase of 3.3% in 2023. Meanwhile, in Europe, there's an annual surge of 23% in the average monthly mobile data consumption per user, which escalated to 16 GB. Consequently, the accelerating development in the telecommunications industry is a major booster for the growth of the modelops market.

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How will the growth rate of the modelops market shape industry trends by 2034?
In recent years, the ModelOps market has experienced significant growth. The projections suggest an increase from $5.62 billion in 2024 to $8.01 billion in 2025, reflecting a compounded annual growth rate (CAGR) of 42.5%. The surge during the historic period can be traced back to several factors including the escalated usage of machine learning, big data boom, need for immediate or almost immediate decision-making, heightened automation, and the growing necessity for model governance and compliance.

Expectations are high for the modelops market size to experience tremendous growth in the forthcoming years. By 2029, it is projected to expand to $32.8 billion, with an impressive compound annual growth rate (CAGR) of 42.2%. This projected surge during the forecast period is linked to the increased adoption of cloud computing, heightened attention to data security and privacy issues, the burgeoning telecommunications industry, an upturn in data creation, and the expansion of small and medium-sized enterprises. Current trends dominating the forecast period encompass the incorporation of Internet of Things (IoT) devices, self-optimizing and adaptive models, and platforms that require no or low code for modelops. Additionally, significant improvements in modelops solutions, as well as technological advancements, are expected to contribute to this market's growth.

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What trends are poised to drive the future success of the modelops market?
Key players in the modelops field are putting their focus on bringing forth innovations, such as providing self-service access to choose specific algorithms and manage models without deep programming skills. Self-service access means giving autonomy to users such as data scientists and developers to deploy, manage, and supervise machine learning models without needing the IT team's support. For instance, TIBCO Software Inc., an American software development firm, introduced TIBCO ModelOps in July 2022. This was designed to upgrade the deployment and execution of AI models across businesses. The innovative ModelOps solution expedites AI roll-outs by employing expertise in areas like data science, visualization, and business intelligence. It tackles significant concerns like bias mitigation, algorithm transparency, and simple integration with business apps. The platform accommodates all model formats, making deployment smoother in cloud or on-premise environments with full governance. It escalates scalability and control, empowering businesses to handle thousands of models effectively.

Which primary segments of the modelops market are driving growth and industry transformations?
The modelops market covered in this report is segmented -

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)

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Which geographical regions are pioneering growth in the modelops market?
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 the modelops market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

Who are the influential players reshaping the modelops market landscape?
Major companies operating 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

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What Is Covered In The ModelOps Global Market Report?

•Market Size Forecast: Examine the modelops market size across key regions, countries, product categories, and applications.
•Segmentation Insights: Identify and classify subsegments within the modelops market for a structured understanding.
•Key Players Overview: Analyze major players in the modelops market, including their market value, share, and competitive positioning.
•Growth Trends Exploration: Assess individual growth patterns and future opportunities in the modelops market.
•Segment Contributions: Evaluate how different segments drive overall growth in the modelops market.
•Growth Factors: Highlight key drivers and opportunities influencing the expansion of the modelops market.
•Industry Challenges: Identify potential risks and obstacles affecting the modelops market.
•Competitive Landscape: Review strategic developments in the modelops market, including expansions, agreements, and new product launches.

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