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AI In Logistics And Supply Chain Management Market Size And Revenue Outlook Through 2030
The AI in logistics and supply chain management market has witnessed significant growth in recent years. It is forecast to increase from $34.04 billion in 2025 to $47.92 billion in 2026, demonstrating a compound annual growth rate (CAGR) of 40.8%. This historical expansion can be attributed to the broadening of global supply chains, the increasing intricacy of logistics networks, the proliferation of e-commerce fulfillment operations, the adoption of digital logistics platforms, and the escalating demand for cost efficiency.
The AI in logistics and supply chain management market is projected for rapid expansion in the coming years, with its size anticipated to reach $189.29 billion by 2030, exhibiting a compound annual growth rate (CAGR) of 41.0%. This growth during the forecast period is driven by factors such as increased investments in autonomous supply chain systems, a growing need for real-time logistics intelligence, the broadening of cloud-based supply chain platforms, the expanding application of AI for risk mitigation, and a heightened emphasis on resilient supply chains. Key developments anticipated include wider adoption of AI-based demand forecasting tools, increased utilization of intelligent warehouse automation systems, deeper integration of predictive analytics in inventory management, an expansion of AI-driven transportation optimization, and a stronger focus on comprehensive end-to-end supply chain visibility.
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AI In Logistics And Supply Chain Management Market Growth Momentum: What Factors Are Shaping Demand?
The expanding e-commerce sector is anticipated to drive the advancement of the AI in logistics and supply chain management market in the future. This industry encompasses commercial activities involving the buying and selling of goods and services primarily conducted through electronic means, such as the Internet, mobile applications, or other digital platforms. The e-commerce industry is propelled by convenience, widespread internet access, and evolving consumer preferences towards online shopping. AI enhances e-commerce logistics and supply chain management by forecasting demand, refining inventory control, optimizing delivery routes, reducing operational costs, and improving customer satisfaction. For instance, in February 2024, according to the United States Census Bureau, a US-based government agency, e-commerce sales reached $1,118.7 billion in 2023, signifying a 7.6% (±1.2%) increase from 2022. Furthermore, e-commerce sales comprised 15.4% of total sales in 2023, compared to 14.7% in 2022. Therefore, the flourishing e-commerce industry is a significant driver for the growth of the AI in logistics and supply chain management market.
AI In Logistics And Supply Chain Management Market Segment Trends And Revenue Contributors
The AI in logistics and supply chain management market covered in this report is segmented –
1) By Offering: Solution, Services
2) By Type: Artificial Intelligence (AI), Machine Learning, Robotics Process Automation (RPA), Natural Language Processing (NLP)
3) By Deployment: Cloud-Based, On-Premise
4) By Application: Warehouse Management, Transportation Management, Order Fulfillment, Demand Forecasting, Inventory Optimization, Supply Chain Planning, Other Applications
5) By End User: Automotive, Aerospace, Manufacturing, Retail, Healthcare, Other End Users
Subsegments:
1) By Solution: AI Software, AI Platforms, AI Tools For Automation, AI-Based Analytics
2) By Services: Consulting Services, Integration And Implementation Services, Managed Services, Support And Maintenance Services
AI In Logistics And Supply Chain Management Market Trends Redefining Industry Growth
Leading firms within the AI in logistics and supply chain management markets are creating innovative products, specifically AI-based supply chain management tools, with the aim of boosting operational efficiency and sustainability. These AI-based tools utilize artificial intelligence to optimize numerous facets of the supply chain, encompassing planning, forecasting, logistics, and customer service functions. A notable example is the launch of the Blue Yonder Orchestrator by Blue Yonder Group Inc., a US-based supply chain management company, in December 2023. This cutting-edge tool employs artificial intelligence to refine decision-making and enhance overall supply chain orchestration. Its key capability lies in empowering business users with immediate access to recommendations, predictive insights, and smart decisions, thereby guaranteeing optimal results for their supply chain. This pioneering feature integrates large language models (LLMs), cloud data, and rapid engineering to deliver tailored recommendations for supply chain-related choices.
AI In Logistics And Supply Chain Management Market Competitive Landscape: Which Companies Lead The Industry?
Major companies operating in the AI in logistics and supply chain management market are Google LLC, Microsoft Corporation, Amazon Web Services Inc., General Electric Company, International Business Machines Corporation, Oracle Corporation, SAP SE, Zebra Technologies Corp., Databricks Inc., Manhattan Associates Inc., o9 Solutions Inc., Locus, Trax Technologies Ltd., SenseTime, Project44, FourKites Inc., Turvo Inc., Everstream Analytics, GreyOrange Pte. Ltd., Elementum Ltd., Ambi Robotics, ClearMetal Inc., Aurrigo International Plc, Nexocode
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AI In Logistics And Supply Chain Management Market Regional Split: Which Areas Are Fueling Growth?
North America was the largest region in the AI in logistics and supply chain management market in 2025. The regions covered in the AI in logistics and supply chain management market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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Wasay has over a decade of experience in market research, data modelling, and analytics, with prior experience at GlobalData and Decision Tree Consulting Services. At The Business Research Company , he leads research operations across syndicated studies, customized consulting engagements, and the Global Market Model platform. His professional experience includes supporting organizations such as Boston Consulting Group, KPMG, and Ernst & Young. Wasay holds a degree in Electronics and Communications Engineering, postgraduate management qualifications from International Management Institute Belgium and Indian School of Business and Entrepreneurship, and completed the Integrated Program in Business Analytics from Indian Institute of Management Indore.
