AI in Logistics and Supply Chain Management Market Report 2026

The AI in logistics and supply chain management market size has grown exponentially in recent years. It will grow from $34.04 billion in 2025 to $47.92 billion in 2026 at a compound annual growth rate (CAGR) of 40.8%. The growth in the historic period can be attributed to expansion of global supply chains, increasing complexity of logistics networks, growth of e-commerce fulfillment operations, adoption of digital logistics platforms, rising demand for cost optimization.

The AI in logistics and supply chain management market size is expected to see exponential growth in the next few years. It will grow to $189.29 billion in 2030 at a compound annual growth rate (CAGR) of 41%. The growth in the forecast period can be attributed to increasing investments in autonomous supply chain systems, rising demand for real-time logistics intelligence, expansion of cloud-based supply chain platforms, growing use of AI for risk mitigation, increasing focus on resilient supply chains. Major trends in the forecast period include increasing adoption of AI-based demand forecasting tools, rising use of intelligent warehouse automation systems, growing integration of predictive analytics in inventory management, expansion of AI-driven transportation optimization, enhanced focus on end-to-end supply chain visibility.

The growing e-commerce industry is expected to drive the growth of the AI in logistics and supply chain management market. The e-commerce sector involves buying and selling goods and services primarily through digital platforms, such as the internet and mobile apps, and is fueled by convenience, expanding internet access, and shifting consumer preferences toward online shopping. AI enhances e-commerce logistics and supply chain management by forecasting demand, optimizing inventory, improving delivery routes, reducing costs, and increasing customer satisfaction. For instance, in February 2024, according to the United States Census Bureau, e-commerce sales reached $1.11 trillion in 2023, marking a 7.6% increase from 2022. Further, e-commerce sales represented 15.4% of total retail sales in 2023, up from 14.7% in 2022. Therefore, the growing e-commerce industry is driving the growth of the AI in logistics and supply chain management market.

Key players in the AI in logistics and supply chain management arena are innovating technologically advanced solutions, such as AI-powered supply chain management tools, to enhance operational efficiency and sustainability. These tools harness artificial intelligence to optimize diverse supply chain facets, spanning planning, forecasting, logistics, and customer service. For instance, in December 2023, Blue Yonder Group Inc., a US-based supply chain management company, introduced the Blue Yonder Orchestrator, a cutting-edge tool leveraging AI to streamline decision-making and enhance supply chain orchestration. A standout feature of this tool is its capability to empower business users with instant access to recommendations, predictive insights, and intelligent decisions, ensuring optimal supply chain outcomes. This innovative capability integrates large language models (LLMs), cloud data, and rapid engineering to deliver personalized recommendations for supply chain decision-making.

In August 2024, Blue Yonder, a US-based supply chain management company, acquired One Network Enterprises for $0.839 billion. This acquisition is in line with Blue Yonder’s strategy to improve its real-time, AI-powered supply chain solutions, further solidifying its industry position. Through One Network’s technology, Blue Yonder’s customers can now collaborate seamlessly across all stages of their supply chain, connecting with trading partners both upstream and downstream. One Network Enterprises is a US-based provider of real-time collaboration and AI solutions for supply chain management.

Major companies operating in the AI in logistics and supply chain management market are Google LLC, Microsoft Corporation, Amazon Web Services Inc., General Electric Company, International Business Machines Corporation, Oracle Corporation, SAP SE, Zebra Technologies Corp., Databricks Inc., Manhattan Associates Inc., o9 Solutions Inc., Locus, Trax Technologies Ltd., SenseTime, Project44, FourKites Inc., Turvo Inc., Everstream Analytics, GreyOrange Pte. Ltd., Elementum Ltd., Ambi Robotics, ClearMetal Inc., Aurrigo International Plc, Nexocode.

North America was the largest region in the AI in logistics and supply chain management market in 2025. The regions covered in the AI in logistics and supply chain management market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the AI in logistics and supply chain management market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

Tariffs are impacting the AI in logistics and supply chain management market by increasing costs of imported automation hardware, sensors, robotics components, and high-performance computing infrastructure used in AI deployments. Manufacturing, retail, and automotive supply chains in North America and Europe are most affected due to dependence on imported systems, while Asia-Pacific faces pricing pressure on AI-enabled logistics exports. These tariffs are raising implementation costs and extending adoption timelines. However, they are also driving localized system integration, regional software innovation, and greater adoption of cloud-based AI platforms that reduce hardware intensity.

The AI in logistics and supply chain management market research report is one of a series of new reports that provides AI in logistics and supply chain management market statistics, including AI in logistics and supply chain management industry global market size, regional shares, competitors with a AI in logistics and supply chain management market share, detailed AI in logistics and supply chain management market segments, market trends and opportunities, and any further data you may need to thrive in the AI in logistics and supply chain management industry. This AI in logistics and supply chain management 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.

AI in logistics and supply chain management involves leveraging artificial intelligence technologies to optimize and automate various processes across the supply chain, spanning from raw material acquisition to final delivery. This approach encompasses a range of activities aimed at enhancing operational efficiency and customer satisfaction while simultaneously reducing costs and mitigating risks.

The primary offerings in AI for logistics and supply chain management comprise solutions and services. Solutions encompass software applications or platforms employing artificial intelligence to address specific challenges or enhance processes. These solutions encompass various types, including artificial intelligence (AI), machine learning, robotics process automation (RPA), and natural language processing (NLP). Deployment options include both cloud-based and on-premise setups. AI in logistics and supply chain management finds application in diverse areas such as warehouse management, transportation management, order fulfillment, demand forecasting, inventory optimization, and supply chain planning. It caters to a multitude of industries including automotive, aerospace, manufacturing, retail, healthcare, among others.

The AI in logistics and supply chain management market consists of revenues earned by entities by providing services such as real-time traffic updates and re-routing, predictive analytics, supplier selection and relationship management and resource management. The market value includes the value of related goods sold by the service provider or included within the service offering. The AI in logistics and supply chain management market also includes sales of AI-based supply chain visibility tools, AI-based quality control systems and risk management systems. 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.

This product will be delivered within 1-3 business days.