PUBLISHER: Grand View Research | PRODUCT CODE: 1771641
PUBLISHER: Grand View Research | PRODUCT CODE: 1771641
Computer Vision AI in Retail Market Summary
The global computer vision AI in retail market size was estimated at USD 1.66 billion in 2024 and is projected to reach USD 12.56 billion by 2033, growing at a CAGR of 25.4% from 2025 to 2033. This growth is driven by the rising demand for real-time customer behavior analytics, automated checkout systems, and enhanced inventory management powered by advanced visual recognition technologies.
Retailers are increasingly utilizing computer vision for inventory management, loss prevention, and real-time monitoring of store activities. The technology supports automated checkout systems, reduces wait times, and enhances convenience. Its integration with AI technologies, such as machine learning, facilitates personalized product recommendations and targeted marketing. Additionally, the rise of smart devices and IoT sensors in stores generates vast amounts of visual data, which computer vision AI analyzes to optimize store layouts and improve customer engagement.
The growth of computer vision AI in retail industry is driven by ongoing advancements in AI algorithms and hardware, enabling more accurate and faster image and video processing. Retailers are focused on expanding cashier-less store concepts and automated shelf monitoring to reduce labor costs and enhance stock availability. The integration of edge computing facilitates real-time analytics at the store level, minimizing latency and boosting responsiveness. An increasing demand for personalized shopping experiences drives the adoption of AI-powered customer behavior analysis and dynamic pricing strategies.
For instance, in February 2025, Zebra Technologies' 17th Annual Global Shopper Study revealed that 77% of Indian shoppers prefer retailers offering personalized recommendations, highlighting a strong demand for AI-driven shopping experiences. In response, 52% of retailers in India and the APAC region plan to implement AI-based loss prevention solutions within the next three years to enhance security and operational efficiency. Furthermore, as retailers expand omnichannel strategies, computer vision AI helps unify online and offline data to deliver seamless customer journeys.
Ongoing investments in AI research and supportive government initiatives accelerate the adoption of computer vision AI in retail by enabling smarter, data-driven operations. Retailers increasingly combine AI with big data analytics and IoT technologies to enhance predictive maintenance, optimize supply chains, and strengthen fraud detection capabilities. Cloud-based AI platforms provide scalable and cost-effective solutions, allowing retailers to implement advanced computer vision applications without significant infrastructure investments. Additionally, the growing emphasis on sustainability encourages retailers to adopt AI solutions that reduce energy consumption and minimize waste throughout their operations.
Global Computer Vision AI in Retail Market Report Segmentation
This report forecasts revenue growth at the global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2021 to 2033. For this study, Grand View Research has segmented the global computer vision AI in retail market report based on application, technology, deployment, end use, and region: