Artificial Intelligence (AI) in Retail Inventory Management Market Global Report 2026

The artificial intelligence (AI) in retail inventory management market size has grown rapidly in recent years. It will grow from $5.63 billion in 2025 to $6.75 billion in 2026 at a compound annual growth rate (CAGR) of 19.9%. The growth in the historic period can be attributed to growth in retail digitization initiatives, rising e commerce penetration, increasing inventory holding costs, expansion of organized retail chains, adoption of basic inventory management systems.

The artificial intelligence (AI) in retail inventory management market size is expected to see rapid growth in the next few years. It will grow to $13.75 billion in 2030 at a compound annual growth rate (CAGR) of 19.5%. The growth in the forecast period can be attributed to increasing adoption of AI based inventory optimization tools, rising demand for real time stock visibility, growth in automated retail supply chain systems, expansion of omnichannel retail operations, increasing investment in predictive analytics for demand forecasting. Major trends in the forecast period include AI driven demand forecasting for real time inventory optimization, computer vision enabled shelf monitoring and stock tracking systems, predictive replenishment automation across retail supply chains, integration of omnichannel inventory visibility platforms, adoption of autonomous warehouse inventory management systems.

The increasing number of retail stores is expected to propel the growth of the artificial intelligence (AI) in retail inventory management market going forward. Retail stores refer to establishments where goods are sold directly to consumers in relatively small quantities for personal consumption or use. The increasing number of retail stores is primarily driven by growing consumer demand, supported by higher purchasing power, evolving lifestyles, urbanization, and greater access to both offline and online shopping options. Artificial intelligence (AI) in retail inventory management supports retail stores by enabling real-time stock tracking, improving demand forecasting accuracy, reducing overstock and stockouts, and optimizing supply chain efficiency to ensure products are available when and where customers need them. For instance, in January 2024, according to the National Association of Convenience Stores, a US-based trade association, the number of convenience stores operating in the United States reached 152,396 in 2024, representing a 1.5% increase compared to the previous year. Therefore, the increasing number of retail stores is driving the growth of the artificial intelligence (AI) in retail inventory management market.

Key companies operating in the artificial intelligence (AI) in retail inventory management market are focusing on developing innovative solutions, such as AI-powered retail inventory automation tools to improve stock accuracy, reduce manual data entry, and enhance operational efficiency. AI-powered retail inventory automation tools are software systems that use artificial intelligence technologies such as machine learning and optical character recognition to automatically track, update, and manage inventory data in real time with minimal manual input. For example, in March 2026, Lightspeed Commerce Inc., a Canada-based unified commerce platform provider, launched an AI-powered automation tool integrated with its optical character recognition system to help retailers eliminate manual inventory entry. The solution enables a scan-and-review workflow that automatically captures line items from supplier documents and updates inventory records within the point-of-sale system, reducing errors such as incorrect SKUs, pricing mismatches, and duplicate product entries. It is designed to improve inventory accuracy, accelerate product availability, and minimize missed sales opportunities caused by stock discrepancies across retail operations.

In March 2025, Crisp Inc., a US-based software company, acquired Shelf Engine for an undisclosed amount. Through this acquisition, Crisp aims to strengthen its AI-driven demand forecasting and inventory optimization capabilities, enabling retailers to improve order accuracy, minimize waste, and enhance overall supply chain efficiency. Shelf Engine Inc. is a US-based company that specializes in AI-driven retail inventory management solutions focused on highly perishable grocery products.

Major companies operating in the artificial intelligence (AI) in retail inventory management market are Microsoft Corporation; International Business Machines; Oracle Corporation; SAP SE; SAS Institute Inc.; Blue Yonder Group Inc; Manhattan Associates Inc.; Kinaxis Inc.; Anaplan Inc.; o9 Solutions Inc.; RELEX Solutions Oy; C3 Artificial Intelligence; FourKites Inc.; Logility Supply Chain Solutions Inc.; E2open Parent Holdings Inc.; Focal Systems Inc.; Cogsy Inc.; Infor Inc.; Kimonix Ltd.; Lokad SAS.

North America was the largest region in the artificial intelligence (AI) in retail inventory management 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) in retail inventory management market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the artificial intelligence (AI) in retail inventory management market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The artificial intelligence (AI) in retail inventory management market includes revenues earned by entities by providing services such as inventory optimization, automated stock replenishment, smart shelf monitoring, real-time inventory tracking, consulting, integration, deployment, and maintenance services. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included. The artificial intelligence (AI) in retail inventory management market also includes sales of barcode scanners, handheld mobile computers, IoT sensors, and weight sensors. 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.

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

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