Computer Vision for Retail Market Report 2026

The computer vision for retail market size has grown exponentially in recent years. It will grow from $4.23 billion in 2025 to $5.24 billion in 2026 at a compound annual growth rate (CAGR) of 23.8%. The growth in the historic period can be attributed to growth of organized retail chains, increasing retail shrinkage rates, declining costs of camera hardware, adoption of data-driven retail strategies, rising labor costs in retail.

The computer vision for retail market size is expected to see exponential growth in the next few years. It will grow to $12.19 billion in 2030 at a compound annual growth rate (CAGR) of 23.5%. The growth in the forecast period can be attributed to expansion of autonomous store formats, advancements in AI model accuracy, demand for personalized shopping experiences, increasing cloud infrastructure adoption, scalability needs across multi-store retail networks. Major trends in the forecast period include AI-driven real-time shelf monitoring, computer vision enabled frictionless checkout, advanced in-store customer behavior analytics, automated loss prevention and theft detection, omnichannel retail intelligence integration.

Rising demand for automated solutions is expected to drive the growth of the computer vision for retail market in the coming years. Automated solutions refer to systems, technologies, or processes designed to perform tasks and workflows with minimal or no human intervention. The increasing demand for such solutions is driven by the need to reduce operational costs, enhance efficiency, minimize human errors, and improve productivity and scalability across industries. Computer vision for retail supports automation by providing real-time product recognition, inventory management, and customer behavior analysis, enabling stores to optimize stock levels, enhance shopping experiences, and reduce manual labor. For example, in March 2025, QuantumBlack AI, a UK-based company, reported that AI usage increased in 2024, with 78 percent of respondents stating their organizations use AI in at least one business function, up from 72 percent in early 2024 and 55 percent a year earlier. Therefore, the rising demand for automated solutions is driving the expansion of the computer vision for retail market.

Key companies in the computer vision for retail market are focusing on technological advancements such as AI-powered loss prevention solutions, which leverage computer vision to detect, track, and prevent theft in real time while maintaining a seamless shopping experience and ensuring customer privacy. Loss prevention technology refers to systems designed to minimize retail shrinkage by detecting, monitoring, and preventing theft, fraud, and inventory mismanagement. For example, in June 2025, Trigo Vision Ltd., an Israel-based company, launched a computer vision-AI-powered loss prevention solution. This system provides real-time monitoring of shopper activities, tracking products picked up by shoppers and cross-referencing them with scanned items at checkout to ensure accurate transactions. Instant alerts are sent to store security when discrepancies occur, reducing shrinkage and losses. The solution enhances coverage beyond traditional CCTV by identifying concealed items before they reach the tills.

In January 2025, GK Software SE, a Germany-based provider of commerce solutions for retailers, acquired Nomitri GmbH for an undisclosed amount. Through this acquisition, GK Software aims to strengthen its self-checkout capabilities by integrating Nomitri’s advanced AI-driven computer vision solutions into its platform to optimize store operations and reduce fraud. Nomitri GmbH is a Germany-based provider of AI-powered computer vision technology for self-checkout systems, offering real-time product recognition, fraud detection, and age verification.

Major companies operating in the computer vision for retail market are Google LLC, Microsoft Corporation, Amazon Web Services Inc., Sony Corporation, International Business Machines Corporation, Intel Corporation, Honeywell International Inc., NVIDIA Corporation, Zebra Technologies Corporation, SenseTime Group Inc., Metropolis Technologies Inc., Trax Technology Solutions Pte. Ltd., Scandit AG., Trigo Vision Ltd., Vispera Information Technologies Inc., Standard AI Inc., Malong Technologies Inc., Graymatics Inc., SeeChange Technologies Inc., StrataVision Inc.

North America was the largest region in the computer vision for retail market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the computer vision for retail market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East and Africa. The countries covered in the computer vision for retail market report are Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain.

The computer vision for retail market consists of revenues earned by entities by providing services such as store traffic analysis, planogram compliance monitoring, queue management systems, pricing optimization, and visual merchandising analysis. The market value includes the value of related goods sold by the service provider or included within the service offering. The computer vision for retail market also includes sales of smart surveillance systems, real-time video analytics platforms, computer vision-enabled robots, interactive digital displays, and automated inventory tracking devices. Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

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