Military Logistics Artificial intelligence (AI) Market Report 2026

The military logistics artificial intelligence (AI) market size has grown rapidly in recent years. It will grow from $2.73 billion in 2025 to $3.12 billion in 2026 at a compound annual growth rate (CAGR) of 14.2%. The growth in the historic period can be attributed to initial deployment of AI-driven inventory tracking systems for improved supply chain visibility, rising use of predictive maintenance algorithms in defense logistics, adoption of autonomous vehicles and drones for field logistics tasks, expansion of ai-enabled transportation optimization tools, increased defense spending on digital logistics modernization.

The military logistics artificial intelligence (AI) market size is expected to see rapid growth in the next few years. It will grow to $5.27 billion in 2030 at a compound annual growth rate (CAGR) of 14%. The growth in the forecast period can be attributed to growing integration of autonomous robotic systems for fully automated logistics workflows, adoption of advanced machine learning platforms to enhance battlefield logistics decisions, increasing demand for ai-orchestrated multi-node supply chain optimization, rising deployment of interconnected logistics clouds for real-time asset management, expansion of ai-powered mission-adaptive logistics support systems. Major trends in the forecast period include rise in automated battlefield logistics, growth in predictive maintenance adoption, increasing deployment of ai-enabled autonomous transport, expansion of intelligent inventory optimization, integration of real-time logistic decision engines.

The increasing defense budgets are expected to drive the growth of the military logistics artificial intelligence (AI) market in the coming years. Defense budgets refer to the financial allocations made by governments to fund military operations, equipment procurement, personnel, and research aimed at strengthening national security. These budgets are rising as nations invest heavily in advanced technologies such as artificial intelligence, cybersecurity, and autonomous systems to enhance military capabilities and maintain a strategic edge. Higher defense spending supports the development and deployment of AI-driven logistics systems that improve operational efficiency, enable predictive maintenance, and enhance decision-making across military supply chains. For instance, in February 2025, according to the International Institute for Strategic Studies, a UK-based think tank on defense and security issues, global defense spending rose to USD 2.46 trillion in 2024, up from USD 2.24 trillion in 2023. In real terms, growth accelerated to 7.4 percent in 2024 compared to 6.5 percent in 2023 and 3.5 percent in 2022, reflecting expanding investments in defense technologies. Therefore, rising defense budgets are driving the growth of the military logistics artificial intelligence (AI) market.

Key companies in the military logistics artificial intelligence (AI) market are focusing on developing advanced solutions, such as AI-powered defense logistics platforms, to enhance operational efficiency, predictive maintenance, and decision-making capabilities across supply chains. An AI-powered defense logistics platform is an advanced digital system that uses artificial intelligence, machine learning, and data analytics to manage and optimize military logistics operations. For instance, in May 2024, Tagup Inc., a US-based defense technology company, launched Manifest, an AI-powered platform designed to transform defense logistics. Manifest leverages artificial intelligence and machine learning to optimize inventory management, mobilization planning, and resource allocation in military operations. It integrates fragmented logistics data into a unified view, enabling commanders to make faster and more accurate decisions. The platform predicts demand and supply needs based on mission requirements, enhances supply chain resilience through simulation of contested scenarios, and prepositions resources closer to the battlefield to improve readiness and reduce wait times.

In October 2025, Science Applications International Corp. (SAIC), a US-based technology integrator and government services provider, acquired SilverEdge Government Solutions for USD 205 million. Through this acquisition, SAIC aims to expand its product portfolio in cybersecurity, software, and intelligence solutions while broadening its mission-driven technology offerings. SilverEdge Government Solutions is a US-based software-as-a-service (SaaS) provider specializing in AI-driven solutions that support U.S. defense and military logistics operations.

Major companies operating in the military logistics artificial intelligence (AI) market are Microsoft Corporation, Siemens AG, RTX Corporation, Lockheed Martin Corporation, Accenture plc, International Business Machines Corporation, Cisco Systems Inc., General Electric Company, Oracle Corporation, Northrop Grumman Corporation, Honeywell International Inc., SAP SE, BAE Systems plc, Leidos Holdings Inc., Oshkosh Defense LLC, Dassault Systèmes SE, Elbit Systems Ltd., Hexagon AB, Palantir Technologies Inc., PTC Inc., Shield AI Inc., Ghost Robotics Corporation.

North America was the largest region in the military logistics artificial intelligence (AI) market in 2025. The regions covered in the military logistics artificial intelligence (AI) market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

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 on semiconductors, autonomous systems, and advanced computing equipment have increased development costs for AI-driven logistics solutions, especially impacting hardware categories such as unmanned systems, edge devices, and communication infrastructure. Defense forces in regions reliant on imported components such as Europe and Asia-Pacific face supply delays and higher acquisition costs, slowing modernization efforts. However, tariffs also stimulate domestic manufacturing, promote local innovation in military logistics automation, and reduce long-term dependency on foreign supply chains.

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

Military logistics artificial intelligence (AI) refers to the use of advanced computational systems and algorithms to enhance the management and coordination of logistics activities in military operations. It leverages intelligent data analysis and automated reasoning to improve the accuracy, efficiency, and adaptability of logistics decision-making across complex defense environments.

The primary components of military logistics artificial intelligence (AI) include software, hardware, and services. Software consists of programs and applications designed to optimize logistics operations, such as predictive maintenance, inventory management, and autonomous vehicle coordination. These solutions are deployed via on-premises and cloud models and are applied in areas including inventory management, transportation and distribution, fleet management, supply chain optimization, maintenance and repair, and others. Key end-users include the army, navy, air force, and other defense organizations.

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

The military logistics artificial intelligence (AI) market consists of revenues earned by entities by providing services such as AI-driven supply chain management, predictive maintenance, inventory tracking, transportation optimization, and battlefield logistical support. The market value includes the value of related goods sold by the service provider or included within the service offering. The military logistics artificial intelligence (AI) market also includes sales of autonomous vehicles, AI-enabled drones, robotic systems, and advanced logistics hardware. 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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