PUBLISHER: KBV Research | PRODUCT CODE: 1649334
PUBLISHER: KBV Research | PRODUCT CODE: 1649334
The North America ModelOps Market would witness market growth of 39.4% CAGR during the forecast period (2024-2031).
The US market dominated the North America ModelOps Market by Country in 2023, and would continue to be a dominant market till 2031; thereby, achieving a market value of $14,493.8 million by 2031. The Canada market is experiencing a CAGR of 42.3% during (2024 - 2031). Additionally, The Mexico market would exhibit a CAGR of 41.2% during (2024 - 2031).
This is a set of practices, processes, and tools designed to manage the deployment, monitoring, governance, and lifecycle of AI (Artificial Intelligence) and ML (Machine Learning) models in production environments. It serves to connect data science teams engaged in the development of these models with IT operations teams tasked with their deployment and maintenance.
The demand for this has grown alongside the proliferation of AI and ML applications across various sectors, including healthcare, finance, retail, manufacturing, and telecommunications. Companies leverage AI models for diverse use cases, such as predictive analytics, fraud detection, customer behavior analysis, and supply chain optimization.
This market in North America is characterized by its diverse applications across industries and strong government support for AI innovation. The region benefits from a well-established AI ecosystem, extensive investments in research and development, and a regulatory framework emphasizing transparency and accountability. Canada's focus on enhancing healthcare delivery through AI-powered diagnostics, treatment recommendations, and patient management systems has increased reliance on AI models. These models often operate in critical environments where precision, reliability, and compliance with privacy laws like the Personal Information Protection and Electronic Documents Act (PIPEDA) are paramount. These solutions address these requirements by offering tools for continuous monitoring, auditing, and updating AI models, ensuring they remain accurate and compliant. Government initiatives such as Canada's Pan-Canadian Artificial Intelligence Strategy, which promotes AI research and adoption, further support the integration of this in healthcare systems. Hence, the region will present lucrative growth opportunities for the market throughout the forecast period.
Based on Offering, the market is segmented into Platforms, and Services. Based on Model, the market is segmented into ML Models, Graph-Based Models, Rule & Heuristic Models, Linguistic Models, and Agent-Based Models & Others. Based on Deployment, the market is segmented into Cloud, and On-Premise. Based on Vertical, the market is segmented into BFSI, Retail & E-Commerce, Healthcare & Life Sciences, Manufacturing, IT & Telecommunications, Transportation & Logistics, and Energy, Utilities & Others. Based on Application, the market is segmented into Continuous Integration/ Continuous Deployment, Model Lifecycle Management, Batch Scoring, Governance, Risk & Compliance, Monitoring & Alerting, Parallelization & Distributed Computing, Dashboard & Reporting, and Other Application. Based on countries, the market is segmented into U.S., Mexico, Canada, and Rest of North America.
List of Key Companies Profiled
North America ModelOps Market Report Segmentation
By Offering
By Model
By Deployment
By Vertical
By Application
By Country