Global ModelOps Market Projected to Surpass $32.8 Billion by 2029 with 42% Annual Growth

"What Are the Market Size and Growth Forecast for the ModelOps Market?
The domain of modelops has witnessed significant expansion in recent years. It's forecasted to ascend from $5.62 billion in 2024 to $8.01 billion in 2025, with a compound annual growth rate (CAGR) of 42.5%. This phenomenal growth in the recent past is credited to factors such as the surging usage of machine learning, the inundation of big data, the increasing necessity for immediate or near-immediate decision-making, escalating automation, and a heightened need for model governance and compliance.

The market size for modelops is projected to experience a remarkable increase in the forthcoming years, potentially reaching $32.8 billion by 2029 with a compound annual growth rate (CAGR) of 42.2%. Several factors are said to contribute to this notable rise in the forecast period: the increase in cloud computing adoption, an enhanced focus on data security and privacy, upward trends in the telecommunications sector, the surge in data production, and the growth of small and medium-sized enterprises. Furthermore, key trends anticipated during the forecast period encompass the incorporation of Internet of Things (IoT) devices, self-evolving and adjustable models, and the emergence of no-code/low-code modelops platforms. In addition, advancements in modelops solutions and technological evolution also play pivotal roles.

What Is Contributing to the Growth of the ModelOps Market?
The modelops market is projected to grow substantially, driven by the accelerating expansion in the telecommunications sector. This industry, which provides the necessary infrastructure and services for voice, video, and data transmission via wireless and wired networks, is on an upward trajectory. Numerous factors are fueling this rise, including the roll-out of 5G, cloud and edge computing, initiatives aimed at boosting rural connectivity, and a widespread digital transformation. Through automation of the deployment and regulation of artificial intelligence models, modelops significantly streamline and optimize network performance and customer experience within the telecommunications industry. For example, in the 2023 Annual Report published by the Germany-based telecommunications company, Deutsche Telekom, there was a year-on-year increase of 3.3% in global telecommunications service revenue. In addition, average monthly mobile data consumption per user in Europe was reported to have climbed to 16 GB, a yearly growth rate of 23%. Consequently, the escalating expansion of the telecommunications industry is a key driving force behind the growth of the modelops market.

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Which Key Market Leaders Are Driving ModelOps Industry Growth?
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

What Are the Latest Innovations in the ModelOps Market?
Key businesses within the modelops industry are concentrating on bringing forward innovations that includes features like self-service access to pick algorithms and manage models, even without the need for extensive coding knowledge. Self-service access is all about equipping individuals like data scientists and developers with the capacity to deploy, oversee, and track machine learning models without the necessity of an IT team's involvement. An example of this can be seen in July 2022 when TIBCO Software Inc., an American software development firm, introduced TIBCO ModelOps with the intention of improving the deployment and management of AI models throughout different corporations. The innovative ModelOps solution speeds up the implementation of AI by integrating expertise in data science, visual representation, and business intelligence. It tackles vital issues like eliminating bias, ensuring algorithm transparency, and facilitating effortless integration with business applications. The platform is compatible with all model formats and allows smooth deployment in the cloud or on-premise setups while providing comprehensive governance. This solution improves scalability and control which helps companies to efficiently manage a large number of models.

What Are the Main Segments in the ModelOps Market?
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 Geographic Area Leads 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.

What Is Covered In The ModelOps Global Market Report?

- Market Size Analysis: Analyze the modelops Market size by key regions, countries, product types, and applications.
- Market Segmentation Analysis: Identify various subsegments within the modelops Market for effective categorization.
- Key Player Focus: Focus on key players to define their market value, share, and competitive landscape.
- Growth Trends Analysis: Examine individual growth trends and prospects in the market.
- Market Contribution: Evaluate contributions of different segments to the overall modelops market growth.
- Growth Drivers: Detail key factors influencing market growth, including opportunities and drivers.
- Industry Challenges: Analyze challenges and risks affecting the modelops market.
- Competitive Developments: Analyze competitive developments, such as expansions, agreements, and new product launches in the market.

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