According to a new report, published by KBV research, The Global ModelOps Market size is expected to reach $58.07 billion by 2031, rising at a market growth of 40.2% CAGR during the forecast period.
The Platforms segment is poised to grow at a CAGR of 39.6 % during the forecast period. As organizations progressively depend on AI-generated insights to optimize operations and improve decision-making processes, there has been a significant increase in the demand for effective solutions for model deployment and management. ModelOps platforms streamline the automation of the entire machine learning lifecycle, encompassing development, deployment, and monitoring.
The ML Models segment captured the maximum revenue in the Global ModelOps Market by Model in 2023, thereby, achieving a market value of $24.8 billion by 2031. This prominence is driven by the widespread adoption of artificial intelligence across various industries, where organizations leverage ML models to enhance decision-making processes, optimize operations, and gain competitive advantages.
The Cloud segment is experiencing a CAGR of 39.6 % during the forecast period. Organizations are increasingly adopting cloud-based ModelOps solutions to leverage the ability to scale resources dynamically, accommodate varying workloads, and reduce the need for significant upfront investments in infrastructure. The integration capabilities of cloud platforms with various tools and services also facilitate seamless model deployment and management, enhancing operational efficiency.
The BFSI segment led the maximum revenue in the Global ModelOps Market by Vertical in 2023, thereby, achieving a market value of $11.8 billion by 2031. The segment is growing primarily due to its reliance on complex models for risk management, fraud detection, and personalized financial services. The need for stringent regulatory compliance and efficient model lifecycle management further propels the adoption of ModelOps solutions in this sector.
The Continuous Integration/ Continuous Deployment segment is growing at a CAGR of 38.6 % during the forecast period. This is driven by organizations' increasing focus on automating the deployment of machine learning models to enhance agility and reduce time-to-market. Implementing CI/CD pipelines allows for seamless integration of new models and updates into production environments, ensuring that AI-driven applications remain current and effective.
Full Report: https://www.kbvresearch.com/modelops-market/
The North America region dominated the Global ModelOps Market by Region in 2023, and would continue to be a dominant market till 2031; thereby, achieving a market value of $20.2 billion by 2031. The Europe region is anticipated to grow at a CAGR of 39.7% during (2024 - 2031). Additionally, The Asia Pacific region would witness a CAGR of 40.9% during (2024 - 2031).
By Offering
By Model
By Deployment
By Vertical
By Application
Unique Offerings 
