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Artificial Intelligence In Supply Chain Market Value Analysis: What Growth Is Expected Over The Forecast Period?
The artificial intelligence in supply chain market has experienced substantial growth in recent years. It is projected to expand from $7.15 billion in 2025 to $10.29 billion in 2026, demonstrating a compound annual growth rate (CAGR) of 43.9%. This past growth can be ascribed to factors such as the globalization of supply chains, increasing e-commerce activities, the demand for inventory cost reduction, the implementation of enterprise resource planning systems, and the expansion of logistics networks.
The artificial intelligence in supply chain market is poised for significant expansion over the next few years, with projections indicating a growth to $43.53 billion by 2030, exhibiting a compound annual growth rate (CAGR) of 43.4%. This anticipated increase during the forecast period is fueled by an intensified focus on supply chain resilience, the widespread adoption of real-time analytics, the integration of AI with robotics, a growing demand for sustainable logistics solutions, and the ongoing expansion of digital supply chain platforms. Prominent trends expected in this period include ai-based demand forecasting, predictive inventory management, intelligent warehouse automation, supply chain risk analytics, and autonomous logistics optimization.
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Artificial Intelligence In Supply Chain Market Growth Drivers: What Factors Are Accelerating Expansion?
The increasing adoption rate of internet users is anticipated to drive the expansion of artificial intelligence within the supply chain market moving ahead. As more individuals increasingly use the internet, data is gathered and becomes readily available online to all participants in the supply chain. This enables businesses to monitor inventory levels, warehouse operations, and product transit with significantly greater speed and convenience. Furthermore, this digital accessibility, augmented by artificial intelligence (AI), facilitates the forecasting of future consumer demand trends and simultaneously lowers expenses associated with excess, undesirable inventory. For example, the GSM Association, a UK-based trade body, forecasts that in January 2025, Europe’s mobile internet user base will grow from 471 million (79% penetration) in 2024 to 494 million (84%) by 2030, marking a 4.9% rise in user figures during this timeframe. Consequently, the substantial rise in internet user penetration directly contributes to the expansion of artificial intelligence in the supply chain market.
Artificial Intelligence In Supply Chain Market Segment Performance And Strategic Opportunities
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
Artificial Intelligence In Supply Chain Market Industry Trends: What Changes Are Reshaping Demand?
Major companies within the artificial intelligence (AI) in the supply chain market are prioritizing the development of advanced AI-driven solutions, such as generative AI-powered conversational supply chain interfaces. These solutions are intended to improve real-time decision-making, elevate operational efficiency, and enable autonomous supply chain management. A generative artificial intelligence (AI)-powered conversational supply chain interface is a system that utilizes sophisticated artificial intelligence (AI) models to facilitate user interaction with supply chain data through natural language, thereby enabling real-time insights, effective decision-making, and task automation. For example, in April 2023, project44, a US-based software development company, launched Movement GPT, which is recognized as the inaugural AI-powered supply chain assistant designed to revolutionize supply chain management. By harnessing generative AI, Movement GPT delivers a natural language interface that provides users with real-time visibility, actionable insights, and enhanced control over shipments, thereby contributing to an autonomous, self-repairing supply chain.
Artificial Intelligence In Supply Chain Market Key Players: Which Companies Shape Industry Competition?
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 Regional Outlook: Where Are The Largest Opportunities Located?
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.