What Has Been ModelOps Market in Recent Years?
The modelops market has seen considerable growth due to a variety of factors.
• The market for modelops has seen significant expansion in the past few years. The market is expected to expand from $5.62 billion in 2024 to $8.01 billion in 2025, demonstrating a compound annual growth rate (CAGR) of 42.5%.
Factors responsible for this growth include enhanced usage of machine learning, the massive increase in big data, the necessity for immediate or near-immediate decision-making, increasing automation, and the heightened need for model governance and compliance.
What Is The Projected Growth And Market Size For The ModelOps
The modelops market is expected to maintain its strong growth trajectory in upcoming years.
• The market size of modelops is predicted to undergo exceptional expansion in the upcoming years, escalating to a value of $32.8 billion in 2029, with a CAGR of 42.2%.
Factors contributing to this growth during the forecast period include the widespread application of cloud computing, an enhanced emphasis on data security and privacy issues, significant advancements in the telecommunications sector, increased data generation, as well as the proliferation of small-to-medium enterprises. Key trends for the forecast period involve the integration of IoT devices, the development of self-improving and adaptive models, and the implementation of no-code/low-code modelops platforms, along with advancements in modelops solutions and burgeoning technology.
What Are the Critical Driver Fuelling the ModelOps Market's Growth?
The upward trajectory of the telecommunications sector is anticipated to boost the expansion of the modelops market. This industry, which offers infrastructure and services to transmit data, voice, and video via wired and wireless networks, is experiencing a swell driven by factors such as the deployment of 5G, cloud and edge computing, initiatives for rural connectivity, and digital transformation. Modelops contributes to the telecommunications industry by automating the launch and management of artificial intelligence models, enhancing network operation, and improving customer encounters. To illustrate, Deutsche Telekom, a telecommunications company from Germany, stated in their 2023 Annual Report that there was a 3.3% yearly increase in global telecommunications service revenue in 2023. In Europe, the average monthly mobile data consumption per user surged to 16 GB, indicating a yearly growth of 23%. Consequently, the burgeoning growth of the telecommunications industry is accelerating the expansion of the modelops market.
What Are The Main Segments Of The Global 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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What Emerging Trends Are Influencing The Growth Of The ModelOps Market Landscape?
Key players in the modelops market are prioritizing the development of innovative solutions like self-service access for algorithm selection and model management without the need for extensive programming skills. The self-service access concept is designed to empower users like data scientists and developers to deploy, manage, and oversee machine learning models independently, without the need for IT team support. A specific example of this was seen in July 2022 when TIBCO Software Inc., a software development firm based in the US, introduced TIBCO ModelOps. This solution was crafted to boost the deployment and control of AI models throughout businesses. The innovative ModelOps solution expedites AI deployment by leveraging specialist knowledge in data science, visualization, and business intelligence. It tackles crucial issues like bias mitigation, algorithm transparency, and simple integration with business applications. The platform is compatible with all model formats, facilitating effortless deployment in cloud or onsite settings with comprehensive governance. This solution boosts scalability and control, enabling corporations to efficiently manage thousands of models.
Who Are the Key Players in the ModelOps Market?
Major companies operating in the modelops market are include:
• 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 Is The Most Dominant Region 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.
