The value of artificial intelligence in the global logistics sector is forecast to climb from US$15.28 billion in 2024 to US$306.76 billion by 2032, according to DataM Intelligence. The group projects a compound annual growth rate of 42 per cent from 2025 to 2032, driven by pressure to improve supply chain resilience, expand warehouse automation and reduce costs and emissions.
Recent announcements by major technology players signal a rapid shift toward autonomous and data-driven logistics systems. In November, NVIDIA unveiled an edge AI platform for autonomous forklifts and yard trucks. DHL and Microsoft announced a partnership in October to deploy a generative AI “copilot” to support logistics managers, while Amazon Web Services launched a new service in September to predict disruptions and recommend mitigation strategies.
The competitive landscape spans chipmakers, cloud providers and major logistics companies. NVIDIA and Intel supply core hardware for robotics and edge computing, while AWS, Microsoft and IBM offer AI platforms. UPS, DHL and FedEx are deploying proprietary systems for route optimization and automated sorting, and enterprise software vendors such as SAP and Oracle are integrating AI into planning and transportation tools.
Machine learning remains the dominant technology, supporting forecasting and routing, while computer vision drives robotics and automated inspection. Retail and e-commerce are the largest end-users, with manufacturing and healthcare also emerging as key adopters. Cloud-based deployment leads due to scalability.
North America currently leads global adoption, while Europe benefits from regulatory pressure and labour costs. Asia-Pacific is expected to see the fastest growth, propelled by expanding manufacturing and e-commerce markets.
The report notes a shift from isolated applications to “cognitive” supply chains, with companies using AI, IoT and digital twins to automate decision-making and optimize logistics networks.
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