The AI in logistics and supply chain market is set to grow from its current market value of more than $20.1 billion to over $196.58 billion by 2034, as reported in the latest study by Global Market Insights, Inc., thanks to the increasing need for real-time supply chain visibility, optimized route planning, accurate demand forecasting, and automation in warehouses.
AI-enabled solutions such as predictive analytics, robotic process automation, and autonomous vehicles are transforming traditional supply chains into intelligent, adaptable ecosystems.
“The growing intricacy of global supply chains has created a need for predictive analytics and real-time data, allowing businesses to analyze massive amounts of data from sensors, GPS, and enterprise resource planning (ERP) systems to optimize inventory management and reduce costs,” according to the report. “AI helps companies adapt quickly to shifts in market conditions, prevent disruptions, and improve customer satisfaction. The expansion of e-commerce and omnichannel retail further emphasizes the need for speed, accuracy, and flexibility, where AI technologies help streamline order processing, automate delivery schedules, and forecast customer behavior.”
Key takeaways:
· In 2024, the software sector led the market with a share of 56%, anticipated to grow at a CAGR of 26% through 2034. AI-driven software solutions, including route optimization, demand forecasting, and warehouse automation, are widely adopted by logistics providers to optimize operations, reduce costs, and enhance efficiency.
· The machine learning (ML) segment held a 47% share in 2024.
· The United States held an 85% share and generated $6.2 billion in 2024 due to its advanced digital infrastructure and widespread adoption of emerging technologies. U.S.-based logistics firms are among the first to integrate AI for solutions such as route optimization, demand forecasting, warehouse automation, and predictive maintenance. The country's leading position is further bolstered by the presence of major tech companies and AI providers, accelerating AI adoption in logistics. Public and private sector investments in AI research and development, coupled with government initiatives, support the adoption of AI technologies across the logistics and supply chain landscape.
