
North America ModelOps Market Size, Share & Trends Analysis Report By Offering (Platforms, and Services), By Model, By Deployment (Cloud, and On-Premise), By Vertical, By Application, By Country and Growth Forecast, 2024 - 2031
Description
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
By Offering
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
- 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.
By Offering
- Platforms
- Services
- ML Models
- Graph-Based Models
- Rule & Heuristic Models
- Linguistic Models
- Agent-Based Models & Others
- Cloud
- On-Premise
- BFSI
- Retail & E-Commerce
- Healthcare & Life Sciences
- Manufacturing
- IT & Telecommunications
- Transportation & Logistics
- Energy, Utilities & Others
- Continuous Integration/ Continuous Deployment
- Model Lifecycle Management
- Batch Scoring
- Governance, Risk & Compliance
- Monitoring & Alerting
- Parallelization & Distributed Computing
- Dashboard & Reporting
- Other Application
- US
- Canada
- Mexico
- Rest of North America
Table of Contents
138 Pages
- Chapter 1. Market Scope & Methodology
- 1.1 Market Definition
- 1.2 Objectives
- 1.3 Market Scope
- 1.4 Segmentation
- 1.4.1 North America ModelOps Market, by Offering
- 1.4.2 North America ModelOps Market, by Model
- 1.4.3 North America ModelOps Market, by Deployment
- 1.4.4 North America ModelOps Market, by Vertical
- 1.4.5 North America ModelOps Market, by Application
- 1.4.6 North America ModelOps Market, by Country
- 1.5 Methodology for the research
- Chapter 2. Market at a Glance
- 2.1 Key Highlights
- Chapter 3. Market Overview
- 3.1 Introduction
- 3.1.1 Overview
- 3.1.1.1 Market Composition and Scenario
- 3.2 Key Factors Impacting the Market
- 3.2.1 Market Drivers
- 3.2.2 Market Restraints
- 3.2.3 Market Opportunities
- 3.2.4 Market Challenges
- Chapter 4. Competition Analysis – Global
- 4.1 Market Share Analysis, 2023
- 4.2 Strategies Deployed in ModelOps Market
- 4.3 Porter Five Forces Analysis
- Chapter 5. North America ModelOps Market by Offering
- 5.1 North America Platforms Market by Region
- 5.2 North America Services Market by Region
- Chapter 6. North America ModelOps Market by Model
- 6.1 North America ML Models Market by Country
- 6.2 North America Graph-Based Models Market by Country
- 6.3 North America Rule & Heuristic Models Market by Country
- 6.4 North America Linguistic Models Market by Country
- 6.5 North America Agent-Based Models & Others Market by Country
- Chapter 7. North America ModelOps Market by Deployment
- 7.1 North America Cloud Market by Country
- 7.2 North America On-Premise Market by Country
- Chapter 8. North America ModelOps Market by Vertical
- 8.1 North America BFSI Market by Country
- 8.2 North America Retail & E-Commerce Market by Country
- 8.3 North America Healthcare & Life Sciences Market by Country
- 8.4 North America Manufacturing Market by Country
- 8.5 North America IT & Telecommunications Market by Country
- 8.6 North America Transportation & Logistics Market by Country
- 8.7 North America Energy, Utilities & Others Market by Country
- Chapter 9. North America ModelOps Market by Application
- 9.1 North America Continuous Integration/ Continuous Deployment Market by Country
- 9.2 North America Model Lifecycle Management Market by Country
- 9.3 North America Batch Scoring Market by Country
- 9.4 North America Governance, Risk & Compliance Market by Country
- 9.5 North America Monitoring & Alerting Market by Country
- 9.6 North America Parallelization & Distributed Computing Market by Country
- 9.7 North America Dashboard & Reporting Market by Country
- 9.8 North America Other Application Market by Country
- Chapter 10. North America ModelOps Market by Country
- 10.1 US ModelOps Market
- 10.1.1 US ModelOps Market by Offering
- 10.1.2 US ModelOps Market by Model
- 10.1.3 US ModelOps Market by Deployment
- 10.1.4 US ModelOps Market by Vertical
- 10.1.5 US ModelOps Market by Application
- 10.2 Canada ModelOps Market
- 10.2.1 Canada ModelOps Market by Offering
- 10.2.2 Canada ModelOps Market by Model
- 10.2.3 Canada ModelOps Market by Deployment
- 10.2.4 Canada ModelOps Market by Vertical
- 10.2.5 Canada ModelOps Market by Application
- 10.3 Mexico ModelOps Market
- 10.3.1 Mexico ModelOps Market by Offering
- 10.3.2 Mexico ModelOps Market by Model
- 10.3.3 Mexico ModelOps Market by Deployment
- 10.3.4 Mexico ModelOps Market by Vertical
- 10.3.5 Mexico ModelOps Market by Application
- 10.4 Rest of North America ModelOps Market
- 10.4.1 Rest of North America ModelOps Market by Offering
- 10.4.2 Rest of North America ModelOps Market by Model
- 10.4.3 Rest of North America ModelOps Market by Deployment
- 10.4.4 Rest of North America ModelOps Market by Vertical
- 10.4.5 Rest of North America ModelOps Market by Application
- Chapter 11. Company Profiles
- 11.1 H2O.ai, Inc.
- 11.1.1 Company Overview
- 11.2 Amazon Web Services, Inc. (Amazon.com, Inc.)
- 11.2.1 Company Overview
- 11.2.2 Financial Analysis
- 11.2.3 Segmental Analysis
- 11.2.4 Recent strategies and developments:
- 11.2.4.1 Partnerships, Collaborations, and Agreements:
- 11.2.5 SWOT Analysis
- 11.3 Google LLC (Alphabet Inc.)
- 11.3.1 Company Overview
- 11.3.2 Financial Analysis
- 11.3.3 Segmental and Regional Analysis
- 11.3.4 Research & Development Expense
- 11.3.5 Recent strategies and developments:
- 11.3.5.1 Product Launches and Product Expansions:
- 11.3.6 SWOT Analysis
- 11.4 Hewlett Packard Enterprise Company
- 11.4.1 Company Overview
- 11.4.2 Financial Analysis
- 11.4.3 Segmental and Regional Analysis
- 11.4.4 Research & Development Expense
- 11.4.5 SWOT Analysis
- 11.5 IBM Corporation
- 11.5.1 Company Overview
- 11.5.2 Financial Analysis
- 11.5.3 Regional & Segmental Analysis
- 11.5.4 Research & Development Expenses
- 11.5.5 Recent strategies and developments:
- 11.5.5.1 Partnerships, Collaborations, and Agreements:
- 11.5.5.2 Product Launches and Product Expansions:
- 11.5.6 SWOT Analysis
- 11.6 Cloudera, Inc.
- 11.6.1 Company Overview
- 11.6.2 SWOT Analysis
- 11.7 Microsoft Corporation
- 11.7.1 Company Overview
- 11.7.2 Financial Analysis
- 11.7.3 Segmental and Regional Analysis
- 11.7.4 Research & Development Expenses
- 11.7.5 Recent strategies and developments:
- 11.7.5.1 Partnerships, Collaborations, and Agreements:
- 11.7.6 SWOT Analysis
- 11.8 SAS Institute, Inc.
- 11.8.1 Company Overview
- 11.8.2 SWOT Analysis
- 11.9 DataRobot, Inc.
- 11.9.1 Company Overview
- 11.9.2 Recent strategies and developments:
- 11.9.2.1 Partnerships, Collaborations, and Agreements:
- 11.9.3 SWOT Analysis
- 11.10. Domino Data Lab, Inc.
- 11.10.1 Company Overview
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