AI in logistics automation market seen reaching $53.14B by 2030

16 hours ago
By AI, Created 13:49 UTC, Sep 03, 2026, AGP -

The Business Research Company says the global AI in logistics automation market will rise from $12.29 billion in 2025 to $53.14 billion by 2030, driven by e-commerce growth, warehouse automation and supply chain digitization. North America leads the market now, while Asia-Pacific is projected to grow fastest.

Why it matters: - AI is moving deeper into logistics operations, where faster decisions and automation can reduce costs, improve delivery accuracy and ease pressure on supply chains. - The market’s projected jump to $53.14 billion by 2030 signals stronger enterprise spending on warehouse, transportation and inventory technology. - E-commerce growth and tighter delivery expectations are pushing logistics operators to adopt AI tools more quickly.

What happened: - The Business Research Company released a market report on the artificial intelligence in logistics automation sector on Sept. 3, 2026. - The report estimates the market will reach $12.29 billion in 2025 and $16.45 billion in 2026. - The firm forecasts the market will reach $53.14 billion by 2030. - The report says the market will grow at a 33.8% CAGR from 2025 to 2026 and at a 34.1% CAGR through 2030. - North America was the largest regional market in 2025. - Asia-Pacific is expected to be the fastest-growing region over the forecast period.

The details: - AI in logistics automation uses algorithms and machine learning to optimize transportation, warehousing, inventory control and supply chain coordination. - The technology supports real-time decision-making, predictive analytics and process automation. - The report lists e-commerce logistics, warehouse automation, transportation management software, global supply chain expansion and early machine learning adoption as current growth drivers. - The forecast through 2030 is tied to autonomous delivery vehicles, drones, AI-driven supply chain orchestration platforms, real-time visibility tools, edge computing in warehouses and demand for more sustainable logistics. - The report highlights hyperlocal last-mile delivery optimization, predictive inventory positioning, autonomous drone and vehicle delivery networks, digital twin logistics models and automation in cross-border e-commerce and customs processing as emerging trends. - The report covers Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, the Middle East and Africa. - The Business Research Company also says its 2026 reports include market attractiveness scoring, TAM analysis, company scoring matrix graphics and tables, Excel-based forecasting dashboards and market hotspot infographics. - A free sample of the report is available here. - The full report is available here.

Between the lines: - The forecast suggests logistics firms are treating AI less as a pilot project and more as core infrastructure for scaling operations. - The emphasis on real-time visibility, edge computing and digital twins points to a market moving beyond basic automation toward more predictive, connected supply chain control. - The sharp regional split reflects maturity in North America and faster adoption potential in Asia-Pacific, where logistics networks are still expanding and digitizing.

What's next: - Adoption is likely to accelerate in warehouse automation, last-mile delivery, customs processing and cross-border e-commerce logistics. - Market competition will likely center on software platforms that can combine forecasting, orchestration and execution across the supply chain. - The report’s 2030 outlook implies continued double-digit growth if e-commerce and automation investment stay on pace.

The bottom line: - AI is becoming a key operating layer for logistics, and the market’s growth forecast points to broader deployment across supply chains over the next five years.

Disclaimer: This article was produced by AGP Wire with the assistance of artificial intelligence based on original source content and has been refined to improve clarity, structure, and readability. This content is provided on an “as is” basis. While care has been taken in its preparation, it may contain inaccuracies or omissions, and readers should consult the original source and independently verify key information where appropriate. This content is for informational purposes only and does not constitute legal, financial, investment, or other professional advice.

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