Artificial Intelligence (AI)-Driven Retail Theft Deterrence Market Report 2025

The artificial intelligence (AI)-driven retail theft deterrence market size has grown rapidly in recent years. It will grow from $2.19 billion in 2024 to $2.62 billion in 2025 at a compound annual growth rate (CAGR) of 19.4%. The growth in the historic period can be attributed to the rise in retail shrinkage, the increase in shoplifting cases, the escalation of organized retail crime, the expansion of retail outlets, the growing adoption of video analytics, and the heightened consumer demand for enhanced store security.

The artificial intelligence (AI)-driven retail theft deterrence market size is expected to see rapid growth in the next few years. It will grow to $5.26 billion in 2029 at a compound annual growth rate (CAGR) of 19.1%. The growth expected in the forecast period can be attributed to the rising demand for stronger retail security, increasing reliance on professional services, growing adoption of automated theft detection solutions, higher demand for seamless shopping experiences, and the expanding need for timely theft prevention measures. Key trends projected for this period include progress in video analytics, advancements in machine learning algorithms, innovations in predictive theft detection, integration with Internet of Things (IoT) devices, improvements in real-time monitoring, developments in facial recognition technology, and innovations in automated alert systems.

The increase in theft incidents is expected to drive the growth of the artificial intelligence (AI)-driven retail theft deterrence market in the coming years. Theft incidents occur when assets or property are unlawfully taken without the consent of the owner. This rise is being fueled by growing organized retail crime, in which coordinated theft groups take advantage of weaknesses in store security and surveillance systems. AI-driven retail theft deterrence helps address this issue by leveraging real-time monitoring and predictive analytics to detect suspicious behavior and prevent losses before they occur. For example, in July 2023, the Anaheim Police Department, a US-based law enforcement agency, reported that shoplifting incidents accounted for 8% in 2022 and 20% in 2023. As a result, the growing number of theft incidents is boosting demand for AI-driven theft deterrence solutions.

Companies in this market are introducing advanced technologies, such as real-time item scan mismatch detection, to strengthen loss prevention for retailers. This system uses artificial intelligence to instantly compare items selected by shoppers with those scanned at checkout, sending alerts when mismatches are detected. For instance, in June 2025, Trigo Vision Ltd., an Israel-based computer vision technology firm, launched its Computer Vision-AI Powered Loss Prevention Solution. The solution utilizes existing closed-circuit television networks combined with advanced computer vision to detect suspicious behavior in store aisles. By using existing infrastructure, it eliminates the need for additional capital investment, reducing both costs and deployment time. It integrates multiple camera angles and behavior models to minimize blind spots and false positives, improving accuracy and efficiency. The system provides real-time alerts to store employees, delivers actionable evidence for investigations, and helps reduce retail shrinkage.

In June 2024, Agilence Inc., a US-based loss prevention analytics provider, acquired IntelliQ Limited for an undisclosed amount. This acquisition allows Agilence to expand its global footprint, broaden its product portfolio, and reinforce its position as a leader in loss prevention and operational analytics. IntelliQ Limited, headquartered in the UK, specializes in retail loss prevention and offers AI-driven theft deterrence solutions.

Major players in the artificial intelligence (AI)-driven retail theft deterrence market are Honeywell International Inc., Infosys Limited, NCR Voyix Corporation, Zebra Technologies Corporation, Zhejiang Dahua Technology Co. Ltd., Hanwha Vision Co. Ltd., Auror Ltd., Spacture AI, OpRetail, SeeChange Technologies, Veesion, KritiKal Solutions Pvt Ltd, Duno AI, X-Hoppers, C2RO Cloud Robotics Inc., Facewatch Ltd., Dragonfruit AI, iRetailCheck, LiveView Technologies Inc., and Verkada Inc.

North America was the largest region in the artificial intelligence (AI)-driven retail theft deterrence 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 theft deterrence 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 theft deterrence 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 (AI)-driven retail theft deterrence involves the integration of machine learning algorithms, computer vision, and real-time data analytics into surveillance and security systems to automatically detect, anticipate, and respond to suspicious activities or potential theft in retail settings. Its core objective is to reduce retail shrinkage by proactively identifying risks, enabling prompt intervention, and strengthening overall store security while maintaining a seamless shopping experience for customers.

The key components of AI-driven retail theft deterrence include software, hardware, and services. Software refers to sets of programs, instructions, and data that allow computers or devices to perform specific functions. Deployment methods are divided into on-premises and cloud-based solutions. Applications span across supermarkets and hypermarkets, convenience stores, specialty shops, department stores, and others, with adoption by a variety of end-users such as retail chains, independent retailers, e-commerce warehouses, and more.

The artificial intelligence (AI)-driven retail theft deterrence market research report is one of a series of new reports that provides artificial intelligence (AI)-driven retail theft deterrence market statistics, including the artificial intelligence (AI)-driven retail theft deterrence industry global market size, regional shares, competitors with the artificial intelligence (AI)-driven retail theft deterrence market share, detailed artificial intelligence (AI)-driven retail theft deterrence market segments, market trends, and opportunities, and any further data you may need to thrive in the artificial intelligence (AI)-driven retail theft deterrence industry. This artificial intelligence (AI)-driven retail theft deterrence market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.

The artificial intelligence (AI)-driven retail theft deterrence market consists of revenues earned by entities by providing services such as video surveillance analytics, facial recognition, real-time theft detection, and behavioral pattern analysis. 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 theft deterrence market also includes sales of security cameras, sensors, and data processing hardware. 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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