Machine Learning in Logistics Market Size - By Component (Software, Services), Technique (Supervised, Unsupervised), Organization Size (Large Enterprise, SME), Deployment Model (Cloud-based, On-premises), Application, End User & Forecast, 2024 – 2032

The market size of machine learning in logistics reached USD 2.8 billion in 2023 and is set to witness over 23% CAGR from 2024 to 2032, owing to the implementation of machine learning algorithms on machinery and vehicle data worldwide.

DHL Supply Chain, FedEx Corporation, Google LLC, International Business Machines Corporation (IBM), Locus Robotics Corporation, Manhattan Associates, Inc., Microsoft Corporation, Oracle Corporation, and SAP SE, are some of the major machine learning in logistics companies worldwide.

Machine learning in logistics industry from the software segment reached over USD 1.5 billion in 2023, due to being highly customizable, allowing logistics companies to tailor ML applications to specific needs such as fraud detection, supply chain visibility, and customer service enhancements.

North America market held over 30% share in 2023, attributed to an advanced technology landscape and substantial investments in AI and machine learning in the region.