The North America ModelOps Market is expected to 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 is expected to continue to be a dominant market till 2031; thereby, achieving a market value of $14.49 billion by 2031. The Canada market is experiencing a CAGR of 42.3% during 2024-2031. Additionally, the Mexico market is expected to 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.
The US market dominated the North America ModelOps Market by country in 2023, and is expected to continue to be a dominant market till 2031; thereby, achieving a market value of $14.49 billion by 2031. The Canada market is experiencing a CAGR of 42.3% during 2024-2031. Additionally, the Mexico market is expected to 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.
List of Key Companies Profiled
- Google LLC (Alphabet Inc.)
- Hewlett Packard Enterprise Company
- IBM Corporation
- Microsoft Corporation
- Amazon Web Services, Inc. (Amazon.com, Inc.)
- H2O.ai, Inc.
- Cloudera, Inc.
- SAS Institute Inc.
- DataRobot, Inc.
- Domino Data Lab, Inc.
Market Report Segmentation
By Offering
- Platforms
- Services
By Model
- ML Models
- Graph-Based Models
- Rule & Heuristic Models
- Linguistic Models
- Agent-Based Models & Others
By Deployment
- Cloud
- On-Premise
By Vertical
- BFSI
- Retail & E-Commerce
- Healthcare & Life Sciences
- Manufacturing
- IT & Telecommunications
- Transportation & Logistics
- Energy, Utilities & Others
By Application
- Continuous Integration/ Continuous Deployment
- Model Lifecycle Management
- Batch Scoring
- Governance, Risk & Compliance
- Monitoring & Alerting
- Parallelization & Distributed Computing
- Dashboard & Reporting
- Other Application
By Country
- US
- Canada
- Mexico
- Rest of North America
Table of Contents
Chapter 1. Market Scope & Methodology
Chapter 2. Market at a Glance
Chapter 3. Market Overview
Chapter 4. Competition Analysis - Global
Chapter 5. North America ModelOps Market by Offering
Chapter 6. North America ModelOps Market by Model
Chapter 7. North America ModelOps Market by Deployment
Chapter 8. North America ModelOps Market by Vertical
Chapter 9. North America ModelOps Market by Application
Chapter 10. North America ModelOps Market by Country
Chapter 11. Company Profiles
Companies Mentioned
- Google LLC (Alphabet Inc.)
- Hewlett Packard Enterprise Company
- IBM Corporation
- Microsoft Corporation
- Amazon Web Services, Inc. (Amazon.com, Inc.)
- H2O.ai, Inc.
- Cloudera, Inc.
- SAS Institute Inc.
- DataRobot, Inc.
- Domino Data Lab, Inc.
Methodology
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