AI in manufacturing and supply chain market seen hitting $27.67B by 2030

The Business Research Company says the global market for artificial intelligence in manufacturing and supply chain will grow from $10.5 billion in 2026 to $27.67 billion by 2030. The forecast points to industrial automation, predictive maintenance and supply chain visibility as key drivers, with North America leading today and Asia-Pacific poised for the fastest growth.

Why it matters: - Artificial intelligence is moving from pilot projects into core manufacturing and supply chain operations. - The shift is tied to higher efficiency, lower costs and faster decision-making across production, logistics and inventory. - The market forecast points to sustained demand for AI tools that can help factories and supply chains run with less manual intervention.

What happened: - The Business Research Company released a 2026 market report on artificial intelligence in manufacturing and supply chain. - The report says the market will rise from $8.22 billion in 2025 to $10.5 billion in 2026. - The report forecasts the market will reach $27.67 billion by 2030. - The forecast implies a 27.4% compound annual growth rate through 2030. - North America held the largest share of the global market in 2025. - Asia-Pacific is expected to be the fastest-growing region during the forecast period.

The details: - The historical growth period was driven by lean manufacturing, globalization of supply chains, ERP adoption, barcode and RFID tracking, and just-in-time manufacturing. - The report defines AI in this market as machine learning, data analytics and automation used to optimize production workflows and supply chain management. - AI in the sector supports process automation, predictive insights and real-time visibility from raw material sourcing to final delivery. - Industrial automation is a major growth driver because machines and control systems generate data that AI can use for planning and forecasting. - The report cites rising automation as manufacturers look to improve efficiency and manage labor shortages. - The World Robotics 2024 report from the International Federation of Robotics said the global stock of operational industrial robots topped 4.28 million units as of September 2024. - The same report said annual robot installations exceeded 500,000 for the third straight year. - Asia accounted for 70% of newly deployed robots in 2023, compared with 17% in Europe and 10% in the Americas. - The report highlights predictive maintenance, equipment failure forecasting, demand forecasting, inventory optimization, warehouse automation, real-time supply chain visibility and autonomous production scheduling as key trends. - The report also points to autonomous factory scaling, real-time predictive orchestration, AI-powered demand personalization, nearshoring and reshoring, and pressure for carbon-neutral manufacturing as drivers of future growth. - The coverage spans Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, the Middle East and Africa. - The report includes new 2026 features such as market attractiveness scoring, TAM analysis, company scoring matrices, Excel forecasting dashboards, market hotspots infographics and updated graphics and tables. - The release offers a free sample of the report and a full report.

Between the lines: - The forecast suggests AI is becoming a standard layer in industrial operations, not just a back-office analytics tool. - The emphasis on automation, real-time visibility and predictive planning shows where buyers are likely to spend first. - North America's current lead and Asia-Pacific's faster growth hint at a market shaped by both established industrial bases and accelerating robot adoption.

What's next: - The Business Research Company expects the market to keep expanding as factories adopt more autonomous systems and supply chains become more data-driven. - Growth should follow demand for predictive maintenance, inventory optimization and planning tools that can reduce disruption. - Nearshoring, reshoring and carbon-reduction targets may create additional demand for AI systems that improve flexibility and traceability.

The bottom line: - AI in manufacturing and supply chain is projected to more than double by 2030, with automation and predictive operations driving the next phase of growth.