Artificial Intelligence In Supply Chain Market Report 2026

Artificial Intelligence In Supply Chain Market Overview

• Artificial Intelligence In Supply Chain market size has reached to $7.15 billion in 2025 • Expected to grow to $43.53 billion in 2030 at a compound annual growth rate (CAGR) of 43.4% • Growth Driver: Increasing Internet User Penetration On The Accelerating Growth Of Artificial Intelligence In The Supply Chain • Market Trend: Unleashing The Potential Of Artificial Intelligence In The Supply Chain With Project44 Movement GPT • North America was the largest region in 2025 and Asia-Pacific is the fastest growing region.

What Is Covered Under Artificial Intelligence In Supply Chain Market?

Artificial intelligence in the supply chain refers to the simulation of human intelligence mechanisms to organize and analyze vast amounts of supply chain information, identify trends, and forecast future issues. It is used for inventory optimization and shortage management. The main types of artificial intelligence in supply chain offerings are hardware, software, and services. Hardware is described as the physical parts of the computer or delivery mechanisms that store and execute the instructions that are given by the software. The various technologies are machine learning, natural language processing, context-aware computing, and computer vision applied in fleet management, supply chain planning, warehouse management, virtual assistant, risk management, freight brokerage, and others. The end-users are automotive, aerospace, manufacturing, retail, healthcare, consumer-packaged goods, and food and beverages.

What Is The Artificial Intelligence In Supply Chain Market Growth Forecast?

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.

What Is The Driver Of The Artificial Intelligence In Supply Chain Market?

The surge in the rate of penetration of internet users is expected to propel the growth of artificial intelligence in the supply chain market going forward. Internet users have accessed the web in the past three months. With more people using the internet, information is collected and made accessible to all supply chain members online, allowing businesses to check inventory status, warehouse activity, and product movement much more quickly and easily. It enables the prediction of future consumer demand patterns while reducing the costs of overstocking unwanted inventory with the help of 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 surge in the rate of penetration of internet users is driving the growth of artificial intelligence in the supply chain market.

Key Players In The Global Artificial Intelligence In Supply Chain Market

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.

Global Artificial Intelligence In Supply Chain Market Trends and Insights

Major companies operating in the artificial intelligence (AI) in the supply chain market are focusing on developing advanced AI-driven solutions such as generative AI-powered conversational supply chain interfaces to enhance real-time decision-making, improve operational efficiency, and enable autonomous supply chain management. A generative artificial intelligence (AI)-powered conversational supply chain interface is a system that uses advanced artificial intelligence (AI) models to enable users to interact with supply chain data through natural language, allowing real-time insights, decision-making, and task automation. For instance, in April 2023, project44, a US-based software development company, launched Movement GPT, the first-ever AI-powered supply chain assistant designed to revolutionise supply chain management. By utilising generative AI, Movement GPT introduces a natural language interface that provides users with real-time visibility, actionable insights, and enhanced control over shipments paving the way toward an autonomous, self-repairing supply chain.

What Are Latest Mergers And Acquisitions In The Artificial Intelligence In Supply Chain Market?

In March 2024, Apple Inc., a US-based technology company, acquired DarwinAI for an undisclosed amount. Through this acquisition, Apple aims to strengthen its AI infrastructure by integrating 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 provides explainable artificial intelligence (AI)-driven visual quality inspection solutions to manufacturing and supply-chain operations.

What Defines the Artificial Intelligence In Supply Chain Market?

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.

How is Market Value Defined and Measured?

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.

What Key Data and Analysis Are Included in the Artificial Intelligence In Supply Chain Market Report 2026?

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