AI In Logistics Global Market Report 2026

Artificial intelligence in logistics encompasses the application of machine learning (ML) and algorithms to automate and optimize different facets of the logistics sector. Its purpose is to streamline routine tasks, enhance efficiency, lower costs, and facilitate intelligent decision-making.

The primary offerings of AI in logistics consist of software and services. Software entails the provision of automation, data analysis, and decision-making support. Various technologies, including machine learning, natural language processing, context awareness computing, and computer vision, are employed across various applications such as self-driving vehicles and forklifts, planning and forecasting, human-machine collaboration, and automation of ordering and processing. These solutions find application in diverse industry verticals including automotive, food and beverages, manufacturing, healthcare, and retail.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

Tariffs are influencing the ai in logistics market by increasing costs of imported semiconductors, sensors, networking hardware, and advanced computing infrastructure required for ai deployments. Logistics providers in North America and Europe are most affected due to reliance on imported technology components, while Asia-Pacific faces cost pressure on hardware-intensive ai solutions. These tariffs are increasing implementation costs and slowing large-scale rollouts. However, they are also encouraging localized data center investments, domestic software development, and innovation in cost-efficient ai logistics platforms.

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

The ai in logistics market size has grown exponentially in recent years. It will grow from $26.33 billion in 2025 to $38.68 billion in 2026 at a compound annual growth rate (CAGR) of 46.9%. The growth in the historic period can be attributed to growth of global supply chain complexity, increasing data availability across logistics operations, rising adoption of warehouse management systems, expansion of e-commerce logistics, improvements in cloud computing infrastructure.

The ai in logistics market size is expected to see exponential growth in the next few years. It will grow to $180.63 billion in 2030 at a compound annual growth rate (CAGR) of 47.0%. The growth in the forecast period can be attributed to increasing investments in ai-driven logistics platforms, rising demand for autonomous delivery systems, expansion of real-time analytics adoption, growing focus on cost optimization through automation, increasing integration of ai with enterprise logistics software. Major trends in the forecast period include increasing adoption of ai-based demand forecasting, rising deployment of intelligent route optimization solutions, growing use of autonomous logistics systems, expansion of predictive maintenance applications, enhanced focus on real-time decision automation.

The rapid growth of the e-commerce sector is expected to fuel the expansion of the AI in logistics market. E-commerce involves the buying and selling of goods or services online, as well as the transfer of data and funds to complete transactions. The integration of AI in logistics enables e-commerce businesses to optimize their operations, improving efficiency through benefits like route optimization, supply chain management, and personalized shopping recommendations. For example, in August 2024, the U.S. Census Bureau, a US-based government agency, reported that retail e-commerce sales in the U.S. reached $291.6 billion in Q2 2024, a 1.3% increase from Q1 and a 6.7% rise year-over-year. Total retail sales amounted to $1,826.9 billion, up 0.5% from Q1 and 2.1% from Q2 2023. As such, the continued growth of e-commerce is driving the demand for AI in logistics.

Key players in the AI in logistics market are focusing on introducing advanced solutions, such as AI-powered supply chain management and orchestration solutions, to enhance their competitiveness in the market. These solutions leverage artificial intelligence to streamline and optimize various aspects of the supply chain. For instance, in December 2023, Blue Yonder, an India-based digital supply chain management solutions company, launched Blue Yonder Orchestrator, a generative AI tool that simplifies supply chain management and orchestration. This innovative feature utilizes large language models (LLMs), cloud data, and prompt engineering to recommend supply chain decisions, providing business users with instant access to advice, forecasts, and intelligent decisions to improve supply chain operations.

In October 2025, Ingka Group, a Sweden-based company focused on retail technology and logistics investments, acquired Locus for an undisclosed amount. Through this acquisition, Ingka Group seeks to strengthen its digital logistics capabilities, gain greater control over home delivery operations, and enhance efficiency across its supply chain. Locus is a U.S.-based technology firm that provides an AI-driven logistics management platform featuring advanced route optimization, real-time tracking, and intelligent resource allocation to streamline delivery and fulfillment operations worldwide.

Major companies operating in the ai in logistics market are Amazon.com Inc, Alphabet Inc., Microsoft Corporation, DHL International GmbH, United Parcel Service Inc., FedEx Corporation, CEVA Logistics AG, Intel Corporation, IBM Corporation, Oracle Corporation, Kuehne + Nagel International AG, NVIDIA Corporation, XPO Logistics Inc., Zebra Technologies, HAVI, Infor, Echo Global Logistics, Symbotic, C3 AI, Turvo Inc., project44 Inc., Wise Systems Inc., Covariant, Cognitivescale Inc., Slync.io Inc., Transportation Applied Intelligence LLC

North America was the largest region in the AI in logistics market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the ai in logistics 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 market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The AI in the Logistics market includes revenues earned by entities by providing route optimization, predictive analytics, warehouse automation, demand forecasting, inventory control and planning, and fleet performance. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.

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.

AI In Logistics Market Global Report 2026 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses ai in logistics market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

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Where is the largest and fastest growing market for ai in logistics ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The ai in logistics market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

• The market characteristics section of the report defines and explains the market. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
• The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
• The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
• The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
• The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
• The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
• The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
• The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
• Market segmentations break down the market into sub markets.
• The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
• Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
• The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
• The company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.

Scope

• Markets Covered:1) By Offering: Software; Services
• 2) By Technology: Machine Learning; Natural Language Processing; Context Awareness Computing; Computer Vision
• 3) By Application: Self-Driving Vehicles And Forklifts; Planning And Forecasting; Machine And Human Collaboration; Automation Of Ordering And Processing
• 4) By Industry Vertical: Automotive; Food And Beverages; Manufacturing; Healthcare; Retail
• Subsegments:
• 1) By Software: Predictive Analytics Software; Route Optimization Software; Inventory Management Software; Warehouse Management Software
• 2) By Services: AI Integration Services; Consulting Services; Support And Maintenance Services
• Companies Mentioned: Amazon.com Inc; Alphabet Inc.; Microsoft Corporation; DHL International GmbH; United Parcel Service Inc.; FedEx Corporation; CEVA Logistics AG; Intel Corporation; IBM Corporation; Oracle Corporation; Kuehne + Nagel International AG; NVIDIA Corporation; XPO Logistics Inc.; Zebra Technologies; HAVI; Infor; Echo Global Logistics; Symbotic; C3 AI; Turvo Inc.; project44 Inc.; Wise Systems Inc.; Covariant; Cognitivescale Inc.; Slync.io Inc.; Transportation Applied Intelligence LLC
• Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain.
• Regions: Asia-Pacific; South East Asia; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
• Time Series: Five years historic and ten years forecast.
• Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
• Data Segmentations: country and regional historic and forecast data, market share of competitors, market segments.
• Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
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