Artificial Intelligence (AI)-Driven Retail Checkout Vision Market Report 2025

The artificial intelligence (AI)-driven retail checkout vision market size has grown exponentially in recent years. It will grow from $3.15 billion in 2024 to $3.99 billion in 2025 at a compound annual growth rate (CAGR) of 26.7%. Growth during the historic period resulted from rising demand for faster checkout, wider adoption of contactless payment systems, increased use of AI in retail automation, a stronger focus on customer convenience, and a growing preference for frictionless shopping experiences.

The artificial intelligence (AI)-driven retail checkout vision market size is expected to see exponential growth in the next few years. It will grow to $10.18 billion in 2029 at a compound annual growth rate (CAGR) of 26.4%. Growth in the forecast period is driven by the increasing adoption of smart store concepts, a rising demand for real-time retail analytics, greater focus on personalized shopping experiences, growing investments in automated checkout solutions, and an increasing need for loss prevention and security. Key trends during this time include advancements in AI-driven checkout algorithms, innovations in frictionless shopping solutions, the integration of biometric authentication into checkout systems, improvements in sensor and camera technologies, and developments in automated payment platforms.

The growing adoption of cloud-based solutions is expected to drive the expansion of the artificial intelligence (AI)-driven retail checkout vision market in the coming years. Cloud-based solutions involve technology services and applications hosted on the internet, offering scalable, flexible, and cost-effective computing resources. As businesses across industries undergo digital transformation, they increasingly use cloud technologies to modernize operations, enhance agility, improve scalability, and enable real-time data access and analytics. This trend supports AI-driven retail checkout vision by providing flexible infrastructure for real-time data processing, seamless AI integration, and quicker deployment of innovative checkout systems, which leads to better accuracy and an improved customer experience. For example, in December 2023, Eurostat, a Luxembourg-based government agency, reported that 45.2% of EU enterprises used cloud computing services in 2023, marking a 4.2 percentage point rise compared to 2021. This increasing adoption of cloud-based solutions is thus fueling the growth of the AI-driven retail checkout vision market.

Leading companies in the artificial intelligence (AI)-driven retail checkout vision market are focusing on creating innovative solutions such as blind-spot detection to prevent theft and reduce inventory shrinkage. Blind-spot detection technology monitors areas that are not easily visible to staff or cameras, helping identify potential theft or unscanned items in real time, which improves loss prevention and inventory accuracy. For example, in June 2025, Trigo Vision Ltd., an Israel-based computer vision technology firm, introduced a computer vision-AI powered loss prevention solution designed to detect and stop in-store theft by tracking shopper behavior, spotting unscanned or concealed items, and sending instant alerts to store security, all while maintaining a frictionless, privacy-first shopping experience. This solution uses existing CCTV infrastructure and integrates smoothly with point-of-sale systems, allowing for quick deployment without major capital expenses. By addressing theft before items reach checkout and providing actionable insights to retailers, Trigo’s technology reduces inventory shrinkage, boosts operational efficiency, and enhances customer satisfaction. It also offers analytics that help optimize store layouts, product placement, and staffing, supporting smarter business decisions and creating a safer, more seamless shopping environment.

In May 2025, PAR Retail, a division of PAR Technology Corporation and a US-based retail technology company, acquired GoSkip, Inc. from Standard AI, Inc. for an undisclosed amount. This acquisition aims to enhance PAR Retail’s InStore platform by boosting in-store engagement, simplifying checkout processes, increasing operational efficiency, and delivering a more seamless and personalized experience for convenience store customers. It also provides retailers with richer data insights, better opportunities to build customer loyalty, and potential for margin growth. GoSkip Inc., based in the US, specializes in computer vision-powered cashierless checkout solutions for retail stores.

Major players in the artificial intelligence (ai)-driven retail checkout vision market are Amazon.com Inc., Everseen Inc., Scandit AG, Trigo Vision Ltd., Zippin Inc., SeeChange Technologies Pvt. Ltd., CloudPick Technology Co. Ltd., Standard AI Inc., Mashgin Inc., Sensei Inc., AWM Smart Shelf Solutions Pvt. Ltd., Caper AI Inc., AiFi Inc., Shopic Inc., Brysk Inc., Autocanteen Inc., Supersmart XP, Xplorazzi Inc., Visiolab Inc., FutureProof Retail Ltd.

North America was the largest region in the artificial intelligence (AI)-driven retail checkout vision market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in artificial intelligence (AI)-driven retail checkout vision report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa. The countries covered in the artificial intelligence (AI)-driven retail checkout vision 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.

Artificial intelligence-driven retail checkout vision is an automated store system that uses AI to monitor items chosen by customers, process payments automatically, and remove the need for manual scanning or checkout lines. This technology improves convenience, reduces wait times, speeds up transactions, and creates a smooth shopping experience for both customers and retailers.

The key elements of AI-driven retail checkout vision include hardware, software, and services. Hardware consists of physical devices that capture and process data to support automated product recognition and billing. These systems utilize technologies such as computer vision, machine learning, deep learning, sensor fusion, and others. They can be implemented on-premises or via the cloud. Their applications range from self-checkout systems and automated storefronts to loss prevention, inventory management, and customer analytics, serving supermarkets, hypermarkets, convenience stores, specialty shops, department stores, and various other retail formats.

The artificial intelligence (AI)-driven retail checkout vision market research report is one of a series of new reports that provides artificial intelligence (AI)-driven retail checkout vision market statistics, including artificial intelligence (AI)-driven retail checkout vision industry global market size, regional shares, competitors with the artificial intelligence (AI)-driven retail checkout vision market share, artificial intelligence (AI)-driven retail checkout vision market segments, market trends, and opportunities, and any further data you may need to thrive in the artificial intelligence (AI)-driven retail checkout vision industry. This artificial intelligence (AI)-driven retail checkout vision 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.

The artificial intelligence (AI)-driven retail checkout vision market consists of revenues earned by entities by providing services such as computer vision and object recognition, analytics and insights, system integration and consulting, maintenance and support, and hardware-related services. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence (AI)-driven retail checkout vision market also includes sales of smart shopping carts, retail analytics dashboards, automated payment and billing systems, inventory management solutions, and AI-powered checkout software platforms. 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.

This product will be delivered within 3-5 business days.