Artificial Intelligence (AI)-Driven Retail Theft Deterrence Market Report 2026

The artificial intelligence (AI)-driven retail theft deterrence market size has grown rapidly in recent years. It will grow from $2.62 billion in 2025 to $3.12 billion in 2026 at a compound annual growth rate (CAGR) of 19.1%. The growth in the historic period can be attributed to growing retail shrinkage issues, rising incidences of shoplifting, increasing adoption of cctv systems, advancements in computer vision technology, awareness of loss prevention strategies.

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 $6.26 billion in 2030 at a compound annual growth rate (CAGR) of 19%. The growth in the forecast period can be attributed to adoption of AI-driven predictive analytics, integration of iot with security devices, expansion of retail chains globally, demand for contactless and automated security, growth of cloud-based monitoring solutions. Major trends in the forecast period include real-time threat detection, predictive loss prevention, automated surveillance analytics, behavioral analytics for shoplifting, integrated security ecosystems.

The increasing number of theft incidents is anticipated to fuel the growth of the artificial intelligence (AI)-driven retail theft deterrence market in the coming years. Theft incidents involve the unlawful taking of property or assets without the owner’s permission. The growth in theft cases is largely attributed to the rise of organized retail crime, where coordinated theft groups take advantage of weaknesses in store security and surveillance systems. Artificial intelligence (AI)-driven retail theft deterrence solutions help minimize theft by leveraging real-time monitoring and predictive analytics to detect suspicious activities and prevent losses before they happen. For example, in September 2025, according to the Australian Retailers Association, an Australia-based national industry organization representing retailers, the association reported 595,660 theft victims nationwide in 2024, marking the highest level in 21 years and a 6% increase compared to the previous year, with nearly half of all theft cases (45% or 268,666 incidents) occurring within retail environments. Therefore, the growing prevalence of theft incidents is contributing to the expansion of the artificial intelligence (AI)-driven retail theft deterrence market.

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 companies operating in the artificial intelligence (AI)-driven retail theft deterrence market are Honeywell International Inc., 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., Verkada Inc., Axis Communications AB, Hangzhou Hikvision Digital Technology Co. Ltd., Oosto Inc., Focal Systems Inc.

North America was the largest region in the artificial intelligence (AI)-driven retail theft deterrence market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence (AI)-driven retail theft deterrence 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 artificial intelligence (AI)-driven retail theft deterrence market report are Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain.

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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