With a focus on actionable insights and strategic value, The Business Research Company’s 2026 market reports include market attractiveness scoring, total addressable market sizing, company benchmarking matrices, interactive Excel dashboards, deeper supply chain intelligence, emerging startup tracking, and granular product-level insights.
Artificial Intelligence In Supply Chain Market Size Analysis: Historical Growth And Future Revenue Projections
The artificial intelligence in supply chain market size has experienced substantial growth in recent years. It is projected to expand from $7.15 billion in 2025 to $10.29 billion in 2026, registering a compound annual growth rate (CAGR) of 43.9%. This historical expansion is primarily due to factors such as the globalization of supply chains, an increase in e-commerce activities, the necessity to reduce inventory costs, the implementation of enterprise resource planning systems, and the overall growth of logistics networks.
The artificial intelligence in supply chain market is anticipated to undergo significant expansion in the next few years. It is projected to reach $43.53 billion by 2030, growing at a compound annual growth rate (CAGR) of 43.4%. This forecasted increase is driven by factors such as a focus on supply chain resilience, the integration of real-time analytics, the convergence of AI with robotics, a rising need for sustainable logistics, and the proliferation of digital supply chain platforms. Prominent trends for this period include AI-driven demand forecasting, proactive inventory management, advanced warehouse automation, comprehensive supply chain risk analysis, and optimized autonomous logistics.
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Artificial Intelligence In Supply Chain Market Drivers: What Is Fueling Demand Through 2030?
The increasing penetration rate of internet users is anticipated to propel the growth of artificial intelligence in the supply chain market moving forward. Internet users have engaged with the web over the preceding three months. With more individuals utilizing the internet, information is gathered and made readily available to all supply chain members online, enabling businesses to swiftly and easily verify inventory status, warehouse activities, and product movement. This capability allows for the prediction of future consumer demand patterns while simultaneously reducing costs associated with overstocking unwanted inventory, aided by artificial intelligence (AI). For instance, in January 2025, according to the GSM Association, a UK-based trade association, in Europe, mobile internet users are projected to increase from 471 million (79% penetration) in 2024 to 494 million (84%) by 2030, representing a 4.9% increase in user numbers over the period. Therefore, the expanding rate of internet user penetration is driving the growth of artificial intelligence in the supply chain market.
Artificial Intelligence In Supply Chain Market Segmentation Analysis: Core Categories And Subcategories
The artificial intelligence in supply chain market covered in this report is segmented –
1) By Offering: Hardware, Software, Services
2) By Technology: Machine Learning, Natural Language Processing, Context-Aware Computing, Computer Vision
3) By Application: Fleet Management, Supply Chain Planning, Warehouse Management, Virtual Assistant, Risk Management, Freight Brokerage, Other Applications
4) By End-User: Automotive, Aerospace, Manufacturing, Retail, Healthcare, Consumer-Packaged Goods, Food And Beverages
Subsegments:
1) By Hardware: Sensors And IoT Devices, Edge Computing Devices, Robotics And Automation Equipment
2) By Software: AI-Powered Analytics Platforms, Supply Chain Management Software, Predictive Maintenance Software
3) By Services: Consulting Services, Integration Services, Managed Services And Support
Which Trends Will Define The Artificial Intelligence In Supply Chain Market Through 2030?
Leading companies active in the artificial intelligence (AI) in the supply chain market are concentrating on developing sophisticated AI-driven solutions, such as generative AI-powered conversational supply chain interfaces, to improve real-time decision-making, enhance operational efficiency, and enable autonomous supply chain management. A generative artificial intelligence (AI)-powered conversational supply chain interface is a system that utilizes advanced artificial intelligence (AI) models to allow users to interact with supply chain data using natural language, thereby providing real-time insights, facilitating decision-making, and automating tasks. For example, in April 2023, project44, a US-based software development company, introduced Movement GPT, the initial AI-powered supply chain assistant designed to innovate supply chain management. By leveraging generative AI, Movement GPT offers a natural language interface that gives users immediate visibility, actionable intelligence, and greater control over shipments, moving towards an autonomous, self-correcting supply chain.
Artificial Intelligence In Supply Chain Market Major Companies And Industry Participants
Major companies operating in the artificial intelligence in supply chain market are Amazon.com Inc.; Google LLC; Samsung Electronics Co Ltd.; Microsoft Corporation; DHL Group; FedEx Corporation; General Electric Company; Intel Corporation; The International Business Machines Corp; Oracle Corporation; SAP SE; NVIDIA Corporation; C.H. Robinson Worldwide Inc.; Havi Logistics AS; Cainiao Smart Logistics Network Limited; Zebra Technologies Corporation; Flexport Inc.; Echo Global Logistics Inc.; Epicor Software Corporation; Blue Yonder Inc.; Symbotic LLC; E2open LLC.; C3.AI Inc; Relex Solutions Private Limited; DataRobot Inc; Splice Machine Inc.; Covariant Inc; Llamasoft Inc.
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Artificial Intelligence In Supply Chain Market Geographic Analysis: Which Region Accounts For The Biggest Share?
North America was the largest region in the artificial intelligence in supply chain market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence in supply chain 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.
