Inventory optimization AI market seen reaching $7.99 billion by 2030

The Business Research Company says the inventory optimization artificial intelligence market will grow from $3.33 billion in 2026 to $7.99 billion by 2030, driven by e-commerce, supply chain automation and real-time inventory tracking. North America led the market in 2025, while Asia-Pacific is expected to grow fastest.

Why it matters: - Inventory optimization AI is becoming a core supply chain tool as retailers and logistics operators try to reduce stockouts, cut excess inventory and respond faster to demand shifts. - The market's projected rise to $7.99 billion by 2030 signals deeper adoption of automation across retail, e-commerce and warehousing. - Faster inventory decisions can improve operational efficiency and lower costs across global supply networks.

What happened: - The Business Research Company released its Inventory Optimization Artificial Intelligence (AI) Global Market Report 2026 – Market Size, Trends, And Forecast 2026-2035 on Sept. 9, 2026. - The report says the market will increase from $2.68 billion in 2025 to $3.33 billion in 2026. - The company projects the market will reach $7.99 billion by 2030. - The report puts the forecast CAGR at 24.4% from 2026 to 2030.

The details: - The report ties recent market growth to enterprise resource planning adoption, the move away from manual inventory management, expanding retail and e-commerce operations, more complex warehousing and logistics, and basic demand forecasting tools. - Inventory optimization AI uses algorithms and analytics to manage stock levels across the supply chain. - Real-time data helps businesses forecast demand, avoid overstocking or shortages and make better decisions. - The forecast period is expected to feature AI-driven demand forecasting models, machine learning-based stock level optimization, automated replenishment systems, predictive analytics for multi-channel inventory visibility and IoT-enabled inventory monitoring. - The report says rising demand for supply chain automation and operational efficiency is a key growth driver. - Wider use of AI and machine learning in logistics, the expansion of omnichannel retail and the need for real-time inventory tracking are also expected to support growth. - The report covers Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, the Middle East and Africa. - North America held the largest market share in 2025. - Asia-Pacific is projected to grow fastest during the forecast period. - The report includes market attractiveness scoring, TAM analysis, company scoring matrix graphics and tables, Excel-based forecasting dashboards, market hotspots infographics, key technologies and future trend analysis, and updated graphics and tables.

Between the lines: - E-commerce remains one of the clearest demand engines for inventory optimization AI as online retail grows and fulfillment networks become harder to manage manually. - The shift from basic forecasting to automated, real-time optimization suggests buyers are moving from planning support toward decision automation. - Regional growth patterns point to mature adoption in North America and faster catch-up in Asia-Pacific.

What's next: - The market is expected to keep scaling as more companies adopt AI, machine learning and IoT-based inventory tools. - The next wave of products will likely focus on better multi-channel visibility, faster replenishment and more accurate demand forecasting. - The full report is available here.

The bottom line: - Inventory optimization AI is moving from a niche planning tool to a mainstream supply chain capability, with rapid growth ahead as companies chase efficiency and fewer inventory errors.