Predictive AI in supply chain market seen topping $5.2 billion by 2030

The Business Research Company says predictive AI in supply chains is expanding quickly as companies use automation and real-time data to improve forecasting, inventory and logistics. The market is projected to rise from $2.4 billion in 2025 to $5.21 billion by 2030, with North America leading now and Asia-Pacific expected to grow fastest.

Why it matters: - Predictive AI is becoming a core tool for supply chains as companies try to cut inefficiencies, reduce delays and improve visibility across logistics networks. - The market’s projected jump to $5.21 billion by 2030 signals rising demand for software that can forecast demand, flag disruptions and support faster decisions. - E-commerce growth is adding pressure on fulfillment, inventory and delivery systems, making predictive analytics more valuable.

What happened: - The Business Research Company published a new report on the predictive AI in supply chain market on September 10, 2026. - The report estimates the market will grow from $2.4 billion in 2025 to $2.8 billion in 2026. - The report forecasts the market will reach $5.21 billion by 2030. - The report says North America held the largest market share in 2025. - The report says Asia-Pacific is expected to be the fastest-growing region during the forecast period.

The details: - Predictive AI in supply chains uses artificial intelligence, machine learning and advanced analytics to anticipate future events and disruptions from historical and real-time data. - The technology is designed to improve customer demand forecasting, inventory management, supplier performance review, delivery delay prediction and operational risk detection. - The report links earlier market growth to manual demand forecasting, fragmented data systems, heavy reliance on past sales data, limited procurement analytics and inventory imbalances. - The forecast from 2026 to 2030 implies a 16.8% compound annual growth rate. - The report cites broader adoption of AI and machine learning in supply chain planning as a growth driver. - The report also points to expanded real-time data integration, cloud-based supply chain platforms, global trade unpredictability, ongoing disruptions and demand for end-to-end visibility. - E-commerce logistics is a major demand driver because online retail requires tighter coordination across transportation, warehousing, inventory, fulfillment and delivery. - The U.S. Census Bureau reported that U.S. retail e-commerce sales reached $326.7 billion in the first quarter of 2026, up 2.7% from the previous quarter. - The report covers Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, the Middle East and Africa. - The company said the 2026 report package includes market attractiveness scoring, TAM analysis, company scoring matrix graphics and tables, Excel dashboards, market hotspots infographics, key technologies, future trends, and updated graphics and tables. - More information is available in the sample request and the full report.

Between the lines: - The report frames predictive AI as moving from a planning aid to a competitive necessity as supply chains become more volatile and data-heavy. - E-commerce is likely to keep amplifying demand because faster delivery expectations make forecasting and inventory control harder to manage manually. - Regional growth patterns suggest mature markets are already large, while faster adoption in Asia-Pacific may come from logistics modernization and digital commerce expansion.

What's next: - The market is expected to keep expanding as companies connect more logistics data and shift more planning to AI-driven tools. - Further growth will likely depend on how quickly supply chain operators adopt cloud platforms and real-time analytics. - The next phase of adoption may focus on improving end-to-end visibility and reducing disruption risk across global networks.

The bottom line: - Predictive AI is moving deeper into supply chain operations, and the market outlook points to sustained double-digit growth through 2030.