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North America Computer Vision AI in Retail Market Size, Share & Industry Analysis Report By Application (Customer Experience Enhancement, Inventory Management, Checkout and Payments, Marketing & Merchandising and Operations Optimization), By End Use By Te

Published Nov 04, 2025
Length 201 Pages
SKU # KBV20575992

Description

The North America Computer Vision AI in Retail Market would witness market growth of 23.7% CAGR during the forecast period (2025-2032).

The US market dominated the North America Computer Vision AI in Retail Market by Country in 2024, and would continue to be a dominant market till 2032; thereby, achieving a market value of $1,925.6 million by 2032. The Canada market is experiencing a CAGR of 25.9% during (2025 - 2032). Additionally, The Mexico market would exhibit a CAGR of 24.8% during (2025 - 2032). The US and Canada led the North America Computer Vision AI in Retail Market by Country with a market share of 69% and 14.8% in 2024.

In North America, computer vision AI in retail has come a long way since the days of simple security cameras. Now, there are smart, data-driven systems that improve operations and customer engagement. Early systems were mostly about stopping losses, but improvements in AI, edge computing, and sensors have made it possible to do real-time inference for shelf monitoring, inventory tracking, and shopper analytics. Retailers now use edge-first deployments and hybrid architectures to process visual data on-site, which makes things faster and more reliable. Vision AI has become a key part of modernizing stores, turning them into smart places that can make decisions and automate tasks in real time.

Trends like autonomous store orchestration and omnichannel convergence are changing the market. These trends connect vision systems with robots, signs, and tools for workers to make automation easier. Retailers are putting more money into developing their own AI, starting with small-scale tests and then scaling up, and forming strategic partnerships to speed up implementation. To keep customers' trust, privacy and openness are still very important. There is a lot of competition, with big tech companies, specialized vision vendors, and even retailers themselves all trying to be the best in terms of performance, scalability, and cost-effectiveness. Overall, computer vision AI has become a key part of North America's retail transformation, making shopping smarter, safer, and more connected.

End Use Outlook

Based on End Use, the market is segmented into Supermarkets & Hypermarkets, Convenience Stores, E-commerce Warehouses, Specialty Stores, Quick-Service Restaurants (QSR) and Other End Use. Among various US Computer Vision AI in Retail Market by End Use; The Supermarkets & Hypermarkets market achieved a market size of USD $126.8 Million in 2024 and is expected to grow at a CAGR of 21.9 % during the forecast period. The Specialty Stores market is predicted to experience a CAGR of 23.8% throughout the forecast period from (2025 - 2032).

Technology Outlook

Based on Technology, the market is segmented into Object Detection & Tracking, Facial Recognition, Gesture Recognition, Image Recognition and Optical Character Recognition (OCR). With a compound annual growth rate (CAGR) of 24.8% over the projection period, the Object Detection & Tracking Market, dominate the Canada Computer Vision AI in Retail Market by Technology in 2024 and would be a prominent market until 2032. The Image Recognition market is expected to witness a CAGR of 26.7% during (2025 - 2032).

Country Outlook

The United States leads the North American computer vision AI in retail market, driven by its advanced retail infrastructure, strong AI ecosystem, and consumer demand for seamless, contactless experiences. Retailers deploy computer vision for cashierless checkout, shelf analytics, loss prevention, and shopper behavior insights, supported by robust cloud and edge computing capabilities. The market benefits from deep R&D and AI talent but faces challenges related to privacy laws, surveillance sensitivity, and ROI pressures. Increasingly, retailers are moving from pilot projects to large-scale rollouts, integrating vision systems with supply chain, marketing, and mobile applications. Competition is intense among major tech firms, startups, and system integrators, with success hinging on scalability, accuracy, and compliance. Overall, the U.S. market sets the benchmark for innovation and adoption in retail automation through computer vision AI.

List of Key Companies Profiled
  • Intel Corporation
  • Amazon Web Services, Inc. (Amazon.com, Inc.)
  • Google LLC
  • IBM Corporation
  • Basler AG
  • Microsoft Corporation
  • NVIDIA Corporation
  • Cognex Corporation
  • Oracle Corporation
  • Clarifai, Inc.
North America Computer Vision AI in Retail Market Report Segmentation

By Application
  • Customer Experience Enhancement
  • Inventory Management
  • Checkout and Payments
  • Marketing & Merchandising
  • Operations Optimization
By End Use
  • Supermarkets & Hypermarkets
  • Convenience Stores
  • E-commerce Warehouses
  • Specialty Stores
  • Quick-Service Restaurants (QSR)
  • Other End Use
By Technology
  • Object Detection & Tracking
  • Facial Recognition
  • Gesture Recognition
  • Image Recognition
  • Optical Character Recognition (OCR)
By Deployment
  • On-premises
  • Cloud-Based
  • Edge Computing
By Country
  • US
  • Canada
  • Mexico
  • Rest of North America

Table of Contents

201 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 Computer Vision AI in Retail Market, by Application
1.4.2 North America Computer Vision AI in Retail Market, by End Use
1.4.3 North America Computer Vision AI in Retail Market, by Technology
1.4.4 North America Computer Vision AI in Retail Market, by Deployment
1.4.5 North America Computer Vision AI in Retail 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. Market Trends – North America Computer Vision AI in Retail Market
Chapter 5. State of Competition - North America Computer Vision AI in Retail Market
Chapter 6. Value Chain Analysis of Computer Vision AI in Retail Market
Chapter 7. Product Life Cycle – Computer Vision AI in Retail Market
Chapter 8. Market Consolidation – Computer Vision AI in Retail Market
Chapter 9. Key Customer Criteria – Computer Vision AI in Retail Market
Chapter 10. Competition Analysis - Global
10.1 KBV Cardinal Matrix
10.2 Recent Industry Wide Strategic Developments
10.2.1 Partnerships, Collaborations and Agreements
10.2.2 Product Launches and Product Expansions
10.3 Market Share Analysis, 2024
10.4 Top Winning Strategies
10.4.1 Key Leading Strategies: Percentage Distribution (2021-2025)
10.4.2 Key Strategic Move: (Partnerships, Collaborations & Agreements: 2021, May – 2025, Jun) Leading Players
10.5 Porter Five Forces Analysis
Chapter 11. North America Computer Vision AI in Retail Market by Application
11.1 North America Customer Experience Enhancement Market by Region
11.2 North America Inventory Management Market by Region
11.3 North America Checkout and Payments Market by Region
11.4 North America Marketing & Merchandising Market by Region
11.5 North America Operations Optimization Market by Region
Chapter 12. North America Computer Vision AI in Retail Market by End Use
12.1 North America Supermarkets & Hypermarkets Market by Country
12.2 North America Convenience Stores Market by Country
12.3 North America E-commerce Warehouses Market by Country
12.4 North America Specialty Stores Market by Country
12.5 North America Quick-Service Restaurants (QSR) Market by Country
12.6 North America Other End Use Market by Country
Chapter 13. North America Computer Vision AI in Retail Market by Technology
13.1 North America Object Detection & Tracking Market by Country
13.2 North America Facial Recognition Market by Country
13.3 North America Gesture Recognition Market by Country
13.4 North America Image Recognition Market by Country
13.5 North America Optical Character Recognition (OCR) Market by Country
Chapter 14. North America Computer Vision AI in Retail Market by Deployment
14.1 North America On-premises Market by Country
14.2 North America Cloud-Based Market by Country
14.3 North America Edge Computing Market by Country
Chapter 15. North America Computer Vision AI in Retail Market by Country
15.1 US Computer Vision AI in Retail Market
15.1.1 US Computer Vision AI in Retail Market by Application
15.1.2 US Computer Vision AI in Retail Market by End Use
15.1.3 US Computer Vision AI in Retail Market by Technology
15.1.4 US Computer Vision AI in Retail Market by Deployment
15.2 Canada Computer Vision AI in Retail Market
15.2.1 Canada Computer Vision AI in Retail Market by Application
15.2.2 Canada Computer Vision AI in Retail Market by End Use
15.2.3 Canada Computer Vision AI in Retail Market by Technology
15.2.4 Canada Computer Vision AI in Retail Market by Deployment
15.3 Mexico Computer Vision AI in Retail Market
15.3.1 Mexico Computer Vision AI in Retail Market by Application
15.3.2 Mexico Computer Vision AI in Retail Market by End Use
15.3.3 Mexico Computer Vision AI in Retail Market by Technology
15.3.4 Mexico Computer Vision AI in Retail Market by Deployment
15.4 Rest of North America Computer Vision AI in Retail Market
15.4.1 Rest of North America Computer Vision AI in Retail Market by Application
15.4.2 Rest of North America Computer Vision AI in Retail Market by End Use
15.4.3 Rest of North America Computer Vision AI in Retail Market by Technology
15.4.4 Rest of North America Computer Vision AI in Retail Market by Deployment
Chapter 16. Company Profiles
16.1 Intel Corporation
16.1.1 Company Overview
16.1.2 Financial Analysis
16.1.3 Segmental and Regional Analysis
16.1.4 Research & Development Expenses
16.1.5 Recent strategies and developments:
16.1.5.1 Partnerships, Collaborations, and Agreements:
16.1.5.2 Product Launches and Product Expansions:
16.1.6 SWOT Analysis
16.2 Amazon Web Services, Inc. (Amazon.com, Inc.)
16.2.1 Company Overview
16.2.2 Financial Analysis
16.2.3 Segmental and Regional Analysis
16.2.4 Recent strategies and developments:
16.2.4.1 Partnerships, Collaborations, and Agreements:
16.2.4.2 Product Launches and Product Expansions:
16.2.5 SWOT Analysis
16.3 Google LLC
16.3.1 Company Overview
16.3.2 Financial Analysis
16.3.3 Segmental and Regional Analysis
16.3.4 Research & Development Expenses
16.3.5 Recent strategies and developments:
16.3.5.1 Partnerships, Collaborations, and Agreements:
16.3.6 SWOT Analysis
16.4 IBM Corporation
16.4.1 Company Overview
16.4.2 Financial Analysis
16.4.3 Regional & Segmental Analysis
16.4.4 Research & Development Expenses
16.4.5 SWOT Analysis
16.5 Basler AG
16.5.1 Company Overview
16.5.2 Financial Analysis
16.5.3 Regional Analysis
16.5.4 Research & Development Expenses
16.5.5 Recent strategies and developments:
16.5.5.1 Partnerships, Collaborations, and Agreements:
16.5.6 SWOT Analysis
16.6 Microsoft Corporation
16.6.1 Company Overview
16.6.2 Financial Analysis
16.6.3 Segmental and Regional Analysis
16.6.4 Research & Development Expenses
16.6.5 SWOT Analysis
16.7 NVIDIA Corporation
16.7.1 Company Overview
16.7.2 Financial Analysis
16.7.3 Segmental and Regional Analysis
16.7.4 Research & Development Expenses
16.7.5 Recent strategies and developments:
16.7.5.1 Partnerships, Collaborations, and Agreements:
16.7.6 SWOT Analysis
16.8 Cognex Corporation
16.8.1 Company Overview
16.8.2 Financial Analysis
16.8.3 Regional Analysis
16.8.4 Research & Development Expenses
16.8.5 Recent strategies and developments:
16.8.5.1 Partnerships, Collaborations, and Agreements:
16.8.5.2 Product Launches and Product Expansions:
16.8.6 SWOT Analysis
16.9 Oracle Corporation
16.9.1 Company Overview
16.9.2 Financial Analysis
16.9.3 Segmental and Regional Analysis
16.9.4 Research & Development Expense
16.9.5 SWOT Analysis
16.10. Clarifai, Inc.
16.10.1 Company Overview
16.10.2 Recent strategies and developments:
16.10.2.1 Partnerships, Collaborations, and Agreements:
16.10.3 SWOT Analysis
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