AI in retail inventory management market seen reaching $13.75 billion by 2030

The Business Research Company projects the AI in retail inventory management market will grow from $5.63 billion in 2025 to $13.75 billion by 2030, driven by retail digitization, e-commerce and demand for real-time stock visibility. North America leads the market today, while Asia-Pacific is expected to grow fastest through 2030.

Why it matters: - AI is becoming a core tool for retailers trying to cut stockouts, reduce excess inventory and manage supply chains across physical and digital channels. - The market’s projected jump to $13.75 billion by 2030 signals sustained demand for automation, forecasting and inventory visibility tools.

What happened: - The Business Research Company released a report on the AI in retail inventory management market. - The market is projected to rise from $5.63 billion in 2025 to $6.75 billion in 2026. - The report forecasts the market will reach $13.75 billion by 2030. - The report was published Sept. 3, 2026, in London. - A free sample report and the full market report are available online.

The details: - The market is growing at a projected CAGR of 19.9% from 2025 to 2026. - The market is expected to grow at a CAGR of 19.5% from 2026 to 2030. - AI in retail inventory management uses machine learning, predictive analytics and computer vision to improve planning, monitoring and supply chain processes. - The technology analyzes real-time and historical data to improve demand forecasting and automate restocking. - The report says AI can reduce stockouts and overstocking while improving inventory accuracy and operational efficiency. - Growth is being driven by retail digitization, rising e-commerce use, higher inventory holding costs, the spread of organized retail chains and adoption of foundational inventory management systems. - Additional forecast-period trends include AI-driven demand forecasting, shelf-monitoring computer vision, predictive replenishment automation, omnichannel inventory visibility platforms and autonomous warehouse inventory management. - The report says rising retail store counts are a major catalyst for adoption. - The National Association of Convenience Stores reported in January 2024 that U.S. convenience store count reached 152,396, up 1.5% from the prior year. - North America held the largest market share in 2025. - Asia-Pacific is expected to post the fastest growth rate over the forecast period. - The analysis also covers South East Asia, Western Europe, Eastern Europe, South America, the Middle East and Africa. - The 2026 report update adds market attractiveness scoring, TAM analysis, company scoring matrix graphics and tables, Excel-based forecasting dashboards, market hotspot infographics, key technologies and future trend analysis, plus updated graphics and tables.

Between the lines: - The forecast suggests retailers are moving from basic inventory tracking toward more automated, predictive systems. - The regional split points to a mature North American market and a faster-expanding Asia-Pacific opportunity. - The inclusion of omnichannel and warehouse automation trends shows inventory management is being treated as an end-to-end supply chain issue, not just a store-level task.

What's next: - Retailers are likely to keep investing in tools that improve real-time visibility and replenishment decisions. - Demand for predictive analytics and autonomous inventory systems should rise as omnichannel retail expands. - The market’s growth trajectory will likely stay tied to store expansion, e-commerce adoption and supply chain modernization.

The bottom line: - AI is shifting retail inventory management from reactive counting to predictive control, and the market outlook remains strong through 2030.