Computer Vision for Retail Global Market Report 2025

The computer vision for retail market size has grown exponentially in recent years. It will grow from $3.41 billion in 2024 to $4.23 billion in 2025 at a compound annual growth rate (CAGR) of 24%. The growth in the historic period can be attributed to increasing adoption of computer vision solutions, rising demand for enhanced customer experience, growing concerns over retail theft and loss prevention, expanding use of smart surveillance in stores, and increasing focus on improving inventory management efficiency.

The computer vision for retail market size is expected to see exponential growth in the next few years. It will grow to $9.88 billion in 2029 at a compound annual growth rate (CAGR) of 23.6%. The growth in the forecast period can be attributed to rising adoption of AI-powered analytics, increasing demand for cashier-less stores, growing emphasis on personalized shopping experiences, expanding use of real-time customer behavior tracking, and increasing focus on operational cost reduction. Key trends in the forecast period include advancements in AI-driven customer analytics, development of cashier-less store solutions, innovations in real-time inventory tracking, improvements in personalized shopping experiences, and development of smart shelf and stock monitoring systems.

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 players 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 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in computer vision for retail report are Asia-Pacific, 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, Russia, South Korea, UK, USA, Canada, Italy, Spain.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report’s Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

The rapid escalation of U.S. tariffs and the resulting trade tensions in spring 2025 are significantly impacting the retail and wholesale sector, particularly in sourcing, inventory management, and pricing strategies. Higher duties on imported consumer goods including electronics, apparel, furniture, and packaged foods have raised procurement costs for retailers and wholesalers, compelling many to either increase prices for end consumers or absorb losses. Small and mid-sized businesses with limited pricing power are especially vulnerable, often facing squeezed margins and reduced competitiveness. Inventory cycles are also disrupted as firms grapple with delays and uncertainty in international supply chains. Additionally, retaliatory tariffs in foreign markets have curtailed export opportunities for U.S. brands, limiting revenue growth. In response, companies are shifting toward domestic and regional suppliers, investing in supply chain resilience, and adopting data-driven demand forecasting to navigate cost volatility and maintain customer satisfaction.

The computer vision for retail market research report is one of a series of new reports that provides computer vision for retail market statistics, including computer vision for retail industry global market size, regional shares, competitors with the computer vision for retail market share, computer vision for retail market segments, market trends, and opportunities, and any further data you may need to thrive in the computer vision for retail industry. This computer vision for retail market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

Computer vision for retail is a technology that uses smart cameras and artificial intelligence to help stores monitor and manage their operations. It supports tasks such as inventory management, faster checkout, and analysis of customer behavior. The main goal is to improve store efficiency, reduce losses, and enhance the customer experience through automation of activities such as checkout, shelf monitoring, and customer insights.

The key components of computer vision for retail are hardware, software, and services. This technology uses cameras, sensors, and AI-powered software to automatically monitor, analyze, and optimize in-store operations, customer behavior, and inventory management. It is deployed through various modes, including on-premises and cloud, across different retail types such as supermarkets or hypermarkets, convenience stores, specialty stores, online retailers, and others. Computer vision for retail is applied in areas such as customer analytics, inventory management, loss prevention, checkout optimization, and more, and is used by various end-users, including large enterprises and small and medium enterprises.

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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