Artificial Intelligence in Supply Chain Market Report 2026

The artificial intelligence in supply chain market size has grown exponentially in recent years. It will grow from $7.15 billion in 2025 to $10.29 billion in 2026 at a compound annual growth rate (CAGR) of 43.9%. The growth in the historic period can be attributed to globalization of supply chains, rising ecommerce activities, need for inventory cost reduction, adoption of enterprise resource planning systems, growth of logistics networks.

The artificial intelligence in supply chain market size is expected to see exponential growth in the next few years. It will grow to $43.53 billion in 2030 at a compound annual growth rate (CAGR) of 43.4%. The growth in the forecast period can be attributed to focus on supply chain resilience, adoption of real-time analytics, integration of AI with robotics, demand for sustainable logistics solutions, expansion of digital supply chain platforms. Major trends in the forecast period include ai-based demand forecasting, predictive inventory management, intelligent warehouse automation, supply chain risk analytics, autonomous logistics optimization.

The rapid increase in internet user penetration is expected to drive the growth of artificial intelligence in the supply chain market in the coming years. Internet users are defined as individuals who have accessed the web within the past three months. As internet usage expands, data is increasingly collected and shared online among all supply chain participants, enabling businesses to monitor inventory levels, warehouse operations, and product movement more quickly and efficiently. This connectivity supports the use of artificial intelligence (AI) to forecast future consumer demand patterns while minimizing the costs associated with excess or unwanted inventory. For instance, in January 2025, according to the GSM Association, a UK-based trade association, mobile internet users in Europe are projected to rise from 471 million (79% penetration) in 2024 to 494 million (84%) by 2030, reflecting a 4.9% increase in user numbers over the period. Therefore, the growing penetration of internet users is fueling the expansion of artificial intelligence in the supply chain market.

Major companies operating in the artificial intelligence (AI) in the supply chain market are concentrating on developing advanced AI-driven solutions, such as generative AI-powered conversational supply chain interfaces, to strengthen real-time decision-making, enhance operational efficiency, and support autonomous supply chain management. A generative artificial intelligence (AI)-powered conversational supply chain interface is a system that leverages advanced AI models to allow users to interact with supply chain data using natural language, enabling real-time insights, informed decision-making, and task automation. For example, in April 2023, project44, a US-based software development company, introduced Movement GPT, the first AI-powered supply chain assistant aimed at transforming supply chain management. By applying generative AI, Movement GPT offers a natural language interface that delivers real-time visibility, actionable insights, and improved control over shipments, paving the way for an autonomous and self-healing supply chain.

In March 2024, Apple Inc., a US-based technology company, acquired DarwinAI for an undisclosed amount. Through this acquisition, Apple seeks to enhance its AI infrastructure by incorporating DarwinAI’s advanced computer vision technologies into its manufacturing and supply chain operations to improve production efficiency and reliability. DarwinAI is a Canada-based software company that delivers explainable artificial intelligence (AI)-powered visual quality inspection solutions for manufacturing and supply chain operations.

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.

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. The countries covered in the artificial intelligence in supply chain market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

Tariffs have impacted the artificial intelligence in supply chain market by increasing costs of imported sensors, automation equipment, and edge computing devices. Hardware-intensive segments such as warehouse automation and logistics optimization are most affected, especially in manufacturing-driven regions. Higher costs can slow automation investments for small and mid-sized enterprises. However, tariffs are driving greater adoption of software-based optimization and predictive analytics solutions. This transition is enhancing flexibility and long-term operational efficiency.

The artificial intelligence in supply chain market research report is one of a series of new reports that provides artificial intelligence in supply chain market statistics, including artificial intelligence in supply chain industry global market size, regional shares, competitors with a artificial intelligence in supply chain market share, detailed artificial intelligence in supply chain market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence in supply chain industry. This artificial intelligence in supply chain market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

Artificial intelligence in the supply chain involves the application of human intelligence simulation mechanisms to organize and analyze extensive amounts of supply chain information, identify trends, and forecast future issues. This technology is utilized for inventory optimization and shortage management.

The main types of artificial intelligence in supply chain offerings include hardware, software, and services. Hardware refers to the physical components of a computer or delivery mechanisms that store and execute instructions provided by the software. Various technologies, such as machine learning, natural language processing, context-aware computing, and computer vision, are applied in areas such as fleet management, supply chain planning, warehouse management, virtual assistant systems, risk management, freight brokerage, and others. End-users of AI in the supply chain span across industries such as automotive, aerospace, manufacturing, retail, healthcare, consumer-packaged goods, and food and beverages.

The artificial intelligence in supply chain market consists of revenues earned by entities through route optimization, predictive maintenance, and supplier management. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence in supply chain market also includes sales of warehouse robots, digital workers, and autonomous vehicles that are used in providing artificial intelligence in supply chain services. Values in this market are ‘factory gate’ values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

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