According to a new report, published by KBV research, Global Computer Vision AI in Retail Market size is expected to reach USD 8.58 billion by 2032, rising at a market growth of 24.3% CAGR during the forecast period.
The global computer vision AI market in the retail industry has witnessed remarkable transformation over the past two decades. Initially, computer vision was primarily associated with surveillance and security applications, where cameras were used to monitor activities and prevent theft. Over time, the integration of artificial intelligence elevated these systems from passive monitoring tools to intelligent decision-making platforms capable of interpreting, analyzing, and responding to visual data in real time. This shift marked the beginning of a new era for retail operations, characterized by automation, precision, and enhanced customer experience.
The Customer Experience Enhancement segment is leading the Global Computer Vision AI in Retail Market by Application in 2024; thereby, achieving a market value of $2.10 billion by 2032. In the customer experience enhancement segment, computer vision AI is playing a vital role in transforming the way consumers interact with retail spaces. Retailers are using intelligent visual systems to analyze customer movement, facial expressions, and engagement patterns to create personalized shopping experiences. These technologies enable stores to provide real-time assistance, dynamic product recommendations, and improved store layouts that cater to shopper preferences.
The Supermarkets & Hypermarkets segment dominated the Global Computer Vision AI in Retail Market by End Use in 2024, growing at a CAGR of 23.4 % during the forecast period. These retailers are deploying AI-powered visual systems to monitor customer movement, manage shelf inventory, and enhance store layouts for improved traffic flow. Computer vision assists in detecting stockouts, identifying misplaced products, and ensuring compliance with planograms. It also supports loss prevention through real-time video analytics that identify suspicious activities. The adoption of AI-driven visual technology enables these large retail environments to improve operational accuracy, reduce manual workload, and deliver a more seamless and efficient shopping experience for customers.
The Object Detection & Tracking segment is generating the maximum revenue share in the Global Computer Vision AI in Retail Market by Technology in 2024; thereby, achieving a market value of $2.27 billion by 2032. The object detection & tracking segment garnered 28% revenue share in the computer vision AI in retail market in 2024. In object detection and tracking, computer vision AI is widely utilized by retailers to monitor product movement, shopper activity, and in-store operations. The technology enables real-time tracking of items on shelves, assists in theft prevention, and improves product placement accuracy. Through advanced camera systems, retailers can identify which items are being picked up, purchased, or misplaced, offering valuable insights into consumer behavior and product demand. Object tracking also supports logistics and inventory management by providing visibility into the flow of goods within stores and warehouses, ensuring operational efficiency and optimized restocking processes.
The On-premises segment dominated the Global Computer Vision AI in Retail Market by Deployment in 2024, growing at a CAGR of 23.7 % during the forecast period. This approach is preferred by large retail chains and organizations dealing with sensitive customer information or strict compliance requirements. On-premises deployment allows for faster processing of visual data within the local network, ensuring real-time insights without relying on external servers or internet connectivity. Retailers choose this model for applications like security monitoring, facial recognition, and inventory tracking, where low latency and high data confidentiality are essential. The on-premises approach also provides flexibility for system customization and integration with existing enterprise systems, making it ideal for complex retail environments with specific operational needs.
The North America region dominated the Global Computer Vision AI in Retail Market by Region in 2024, and would continue to be a dominant market till 2032; thereby, achieving a market value of $2.95 billion by 2032. The Asia Pacific region is experiencing a CAGR of 24.9% during (2025 - 2032). Additionally, The Europe region would exhibit a CAGR of 24.1% during (2025 - 2032).
By Application
By End Use
By Technology
By Deployment
By Geography
Unique Offerings
