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AI In Logistics Market Poised To Hit $180.63 Billion By 2030 With A 47% CAGR
The ai in logistics market has experienced significant expansion in recent years. Projections indicate it will grow from $26.33 billion in 2025 to $38.68 billion in 2026, achieving a compound annual growth rate (CAGR) of 46.9%. The historical reasons for this growth are attributed to the increasing complexity of global supply chains, greater data availability across logistics operations, the rising adoption of warehouse management systems, the proliferation of e-commerce logistics, and improvements in cloud computing infrastructure.
The ai in logistics market is projected to experience substantial growth in the coming years. Its value is anticipated to reach $180.63 billion by 2030, showing a compound annual growth rate (CAGR) of 47.0%. This expansion during the forecast period is primarily driven by factors such as greater investments in AI-powered logistics platforms, a surge in demand for autonomous delivery solutions, wider adoption of real-time analytics, an enhanced emphasis on optimizing costs via automation, and the growing incorporation of AI into enterprise logistics software. Key trends anticipated for this period encompass the increased use of AI for demand forecasting, the growing implementation of smart route optimization solutions, the expanding application of autonomous logistics systems, the broadening scope of predictive maintenance applications, and a heightened focus on automating decisions in real-time.
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AI In Logistics Market Growth Backed By Core Demand Fundamentals
The expanding e-commerce sector is expected to propel the growth of the AI in logistics market going forward. E-commerce refers to the buying and selling of goods or services over the internet, facilitating the transfer of data and funds to complete these transactions. The integration of AI in logistics assists e-commerce businesses in streamlining their operations and enhancing efficiency, providing benefits such as route optimization, supply chain optimization, and personalized shopping recommendations. For instance, in August 2024, according to the U.S. Census Bureau, a US-based government agency, in the US retail e-commerce sales reached $291.6 billion in quarter 2 2024, marking an increase of 1.3% from Q1 and 6.7% year-over-year. Total retail sales were $1,826.9 billion, increasing 0.5% from Q1 and 2.1% from Q2 2023. Therefore, the increasing expansion of the e-commerce sector is driving the growth of the AI in logistics market.
AI In Logistics Market Segmentation: How Does The Market Break Down By Category?
The ai in logistics market covered in this report is segmented –
1) By Offering: Software, Services
2) By Technology: Machine Learning, Natural Language Processing, Context Awareness Computing, Computer Vision
3) By Application: Self-Driving Vehicles And Forklifts, Planning And Forecasting, Machine And Human Collaboration, Automation Of Ordering And Processing
4) By Industry Vertical: Automotive, Food And Beverages, Manufacturing, Healthcare, Retail
Subsegments:
1) By Software: Predictive Analytics Software, Route Optimization Software, Inventory Management Software, Warehouse Management Software
2) By Services: AI Integration Services, Consulting Services, Support And Maintenance Services
AI In Logistics Market Growth Trends Reshaping The Competitive Landscape
Leading companies in the AI in logistics market are concentrating on introducing technologically advanced solutions, such as AI-driven supply chain management and orchestration tools, to improve their market profitability. AI-powered supply chain management and orchestration solutions employ artificial intelligence to streamline and optimize various aspects of the supply chain. For example, in December 2023, Blue Yonder, an India-based company specializing in digital supply chain management solutions, launched Blue Yonder Orchestrator. This new generative AI tool is designed to simplify supply chain management and orchestration by combining large language models (LLMs), cloud data, and prompt engineering to suggest supply chain decisions. This AI-enabled solution offers business users immediate access to advice, forecasts, and intelligent decisions, enabling them to make optimal choices and positively influence their supply chain. As many professionals find it challenging to retain institutional knowledge in the contemporary supply chain environment, Blue Yonder Orchestrator can function as an advantageous supply chain assistant, helping businesses to enhance intuition by harnessing the value of data for quicker and more effective decision-making.
AI In Logistics Market Competitive Overview And Top Companies
Major companies operating in the ai in logistics market are Amazon.com Inc, Alphabet Inc., Microsoft Corporation, DHL International GmbH, United Parcel Service Inc., FedEx Corporation, CEVA Logistics AG, Intel Corporation, IBM Corporation, Oracle Corporation, Kuehne + Nagel International AG, NVIDIA Corporation, XPO Logistics Inc., Zebra Technologies, HAVI, Infor, Echo Global Logistics, Symbotic, C3 AI, Turvo Inc., project44 Inc., Wise Systems Inc., Covariant, Cognitivescale Inc., Slync.io Inc., Transportation Applied Intelligence LLC
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AI In Logistics Market Top Region: Where Does Most Revenue Come From?
North America was the largest region in the AI in logistics market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the ai in logistics 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.
