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AI In Logistics And Supply Chain Management Market Value Analysis: What Growth Is Expected Over The Forecast Period?
The AI in logistics and supply chain management market size has experienced significant expansion over recent years. It is projected to increase from $34.04 billion in 2025 to $47.92 billion in 2026, at a compound annual growth rate (CAGR) of 40.8%. This growth observed in the past can be attributed to the broader reach of global supply chains, the increasing intricacy of logistics networks, the rise of e-commerce fulfillment operations, the integration of digital logistics platforms, and a heightened demand for cost efficiency.
The AI in logistics and supply chain management market is anticipated to undergo significant expansion in the coming years. It is projected to reach a valuation of $189.29 billion by 2030, demonstrating a compound annual growth rate (CAGR) of 41.0%. This projected growth throughout the forecast period stems from factors such as increasing investments in autonomous supply chain systems, a heightened demand for real-time logistics intelligence, the expansion of cloud-based supply chain platforms, the growing utilization of AI for risk mitigation, and an increasing focus on building resilient supply chains. Prominent trends identified for the forecast period include the escalating adoption of AI-based demand forecasting tools, the rising implementation of intelligent warehouse automation systems, the deepening integration of predictive analytics in inventory management, the broadening of AI-driven transportation optimization solutions, and an enhanced focus on achieving end-to-end supply chain visibility.
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AI In Logistics And Supply Chain Management Market Development Factors: Which Trends Are Supporting Demand?
The expansion of the e-commerce sector is anticipated to drive the advancement of the AI in logistics and supply chain management market in the future. This industry refers to the commercial domain focused on transactions for goods and services primarily via electronic channels, including the internet, mobile applications, and other digital interfaces. Factors propelling the e-commerce industry include ease of use, increased internet availability, and evolving consumer inclinations towards purchasing online. Artificial intelligence improves e-commerce logistics and supply chain operations through demand prediction, refining inventory control, optimizing delivery paths, lowering expenses, and boosting customer contentment. An illustration of this trend is provided by the United States Census Bureau, a US-based government agency, which reported in February 2024 that e-commerce sales amounted to $1,118.7 billion in 2023, showing a 7.6% (±1.2%) rise compared to 2022. Moreover, these sales represented 15.4% of all sales in 2023, an increase from 14.7% in 2022. Consequently, the expanding e-commerce sector is a key driver for the expansion of the AI in logistics and supply chain management market.
AI In Logistics And Supply Chain Management Market Segment Landscape: Which Areas Lead Market Development?
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 Industry Trends Shaping Future Revenue Growth
Major companies in the AI in logistics and supply chain management markets are developing technologically advanced products, such as AI-based supply chain management tools, to enhance operational efficiency and sustainability. These AI-based supply chain management tools utilize artificial intelligence to optimize various aspects of the supply chain, from planning and forecasting to logistics and customer service. For instance, in December 2023, Blue Yonder Group Inc., a US-based supply chain management company, launched the Blue Yonder Orchestrator, a state-of-the-art tool that employs artificial intelligence to optimize decision-making processes and improve supply chain orchestration. A key feature of this tool is its ability to provide business users instant access to recommendations, predictive insights, and intelligent decisions, ensuring the best possible outcomes for their supply chain. This innovative capability combines large language models (LLMs), cloud data, and rapid engineering to offer personalized recommendations for supply chain decisions.
AI In Logistics And Supply Chain Management Market Industry Leaders And Market Competition
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 Leading Geography: Which Region Generates The Most Revenue?
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.