Generative AI in Logistics Market set to grow to USD 13.62 billion by 2032

From GlobeNewswire: 2025-07-03 10:00:00

Generative AI in Logistics Market is set to grow from USD 816.15 million in 2024 to USD 13,621.30 million by 2032, with a CAGR of 36.93%. This growth is driven by increased use for route optimization, demand forecasting, and warehouse automation to boost supply chain efficiency and reduce costs.

The U.S. Generative AI in Logistics Market will soar from USD 349.23 million in 2024 to USD 4,273.06 million by 2032, at a CAGR of 36.76%. The growth is fueled by AI-driven automation, predictive analytics, and real-time logistics optimization adoption.

Variational Autoencoders (VAEs) lead the market with a 30% revenue share due to their stability in processing logistics data, while Generative Adversarial Networks (GANs) are expected to grow at a CAGR of 39.62% from 2025 to 2032, aiding in decision-making and scenario modeling.

Road transportation dominates the market with a 34% share, benefiting from AI for route optimization and predictive maintenance. Meanwhile, the shipping and ports segment is projected to grow at a CAGR of approximately 39.94% from 2025 to 2032.

In 2024, the cloud deployment segment captured 68% of the market, offering scalability and cost-effectiveness for logistics firms. Cloud solutions facilitate continuous updating, anticipation-driven analytics, and real-time automation for managing complex supply chain networks efficiently.

North America leads the market with a 44% revenue share, driven by early AI adoption and advanced logistics capabilities. Asia Pacific is expected to grow at the fastest CAGR of about 39.18% between 2025 and 2032, fueled by digital transformation, e-commerce growth, and increased AI investments.



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