Featuring market attractiveness scoring, total addressable market sizing, company benchmarking matrices, interactive Excel dashboards, deeper supply chain intelligence, emerging startup tracking, and granular product-level insights, The Business Research Company’s 2026 market reports are built to deliver research that is both more actionable and more strategically valuable.
Artificial Intelligence (AI) In Defense Logistics Market Poised To Hit $5.3 Billion By 2030 With A 18.1% CAGR
The artificial intelligence (AI) in defense logistics market has experienced substantial growth in recent years. This market is set to expand from $2.3 billion in 2025 to $2.73 billion in 2026, demonstrating a compound annual growth rate (CAGR) of 18.4%. Key drivers for this historical expansion include the widespread adoption of automated inventory management, the implementation of predictive maintenance, the integration of AI in route planning, the increasing complexity within defense supply chains, and the uptake of autonomous vehicles for logistics.
The artificial intelligence (AI) in defense logistics market size is anticipated to expand rapidly in the coming years, with projections indicating it will reach $5.31 billion in 2030, achieving a compound annual growth rate (CAGR) of 18.1%. This growth during the forecast period is primarily attributed to the increased adoption of AI-driven warehouse automation, the advancement of real-time asset tracking systems, integration with AI-enabled procurement platforms, the implementation of blockchain for secure logistics, and the expanded deployment of robotic logistics systems in combat environments. Significant trends expected in this period include growing requirements for joint and coalition interoperability in AI-enabled defense logistics platforms, a transition towards performance-based and outcome-based logistics contracts within military supply chains, an intensifying focus on supply chain resilience and redundancy for critical defense operations, the expansion of public–private partnerships involving defense organizations, primes, and AI-focused SMEs for logistics modernization, and increased investment in specialized training, doctrine, and change management crucial for AI-enabled logistics decision-making.
Get A Free Sample Report With In-Depth Market Insights:
Artificial Intelligence (AI) In Defense Logistics Market Growth Factors Behind Sustained Expansion
The escalating digital transformation is set to accelerate the expansion of artificial intelligence (AI) within the defense logistics market moving forward. This transformation entails integrating digital technologies across all business functions, fundamentally reshaping how organizations operate and create value. Its increasing adoption is largely propelled by the demand for enhanced operational efficiency in an increasingly interconnected global setting, as organizations aim to streamline processes, cut costs, and stay competitive through advanced technological capabilities. AI-powered systems facilitate defense logistics operations by optimizing supply chain management, forecasting equipment maintenance requirements, and improving resource allocation via real-time data analysis and automated decision-making. For instance, in November 2023, the Central Digital and Data Office, a UK-based government agency responsible for digital transformation across UK government departments, noted that the overall size of the Government Digital and Data profession increased by 19% from April 2022 to April 2023. Thus, rapid digital transformation is a key driver for the growth of artificial intelligence (AI) in the defense logistics market.
Artificial Intelligence (AI) In Defense Logistics Market Segment Breakdown: Which Categories Lead On Revenue?
The artificial intelligence (AI) in defense logistics market covered in this report is segmented –
1) By Component: Software, Hardware, Services
2) By Deployment Mode: On-Premises, Cloud
3) By Application: Inventory Management, Fleet Management, Supply Chain Optimization, Transportation Management, Maintenance And Repair, Other Applications
4) By End-User: Army, Navy, Air Force, Other End-Users
Subsegments:
1) By Software: Enterprise Resource Planning (ERP) Software, Warehouse Management System (WMS) Software, Transportation Management System (TMS) Software, Predictive Analytics Software, Fleet Management Software
2) By Hardware: Autonomous Vehicles, Sensor Networks, Robotics Systems, Artificial Intelligence (AI)-Enabled Drones, Data Processing Hardware
3) By Services: System Integration Services, Maintenance And Support Services, Training And Consulting Services, Deployment And Implementation Services, Cybersecurity Services
Artificial Intelligence (AI) In Defense Logistics Market Industry Trends Fueling Future Revenue Growth
Major companies operating in the artificial intelligence (AI) in the defense logistics market are prioritizing the development of advanced solutions, such as AI-based supply chain management, to guarantee the timely delivery of crucial military supplies. AI-based supply chain management leverages artificial intelligence to detect, evaluate, and minimize potential disruptions within military supply chains, concurrently ensuring continuous and efficient operations. It also enables proactive decision-making by forecasting risks and optimizing logistics in real time. For instance, in March 2025, the Defense Logistics Agency (DLA), a US-based Department of Defense logistics combat support agency, developed an AI tool to monitor supply chain risk. This was part of its strategic shift towards predictive supply chain operations, aiming to identify unreliable suppliers, predict bottlenecks, and optimize procurement. This AI-driven system employs multiple risk assessment models to identify counterfeit, non-conforming, or overpriced items, assisting in prosecuting vendors who jeopardize the supply chain and ensuring mission readiness.
Artificial Intelligence (AI) In Defense Logistics Market Leading Players And Competitive Positioning
Major companies operating in the artificial intelligence (AI) in defense logistics market are Microsoft Corporation, The Boeing Company, RTX Corporation, Lockheed Martin Corporation, International Business Machines Corporation (IBM), Northrop Grumman Corporation, SAP SE, BAE Systems plc, Safran S.A., Thales Group, L3Harris Technologies Inc., Leidos Holdings Inc., Booz Allen Hamilton Holding Corporation, Rheinmetall AG, Rafael Advanced Defense Systems Ltd., Palantir Technologies Inc., Anduril Industries Inc., Shield AI Inc., Helsing GmbH, Charles River Analytics Inc., DEFCON AI Inc.
View The Full Artificial Intelligence (AI) In Defense Logistics Market Report:
Artificial Intelligence (AI) In Defense Logistics Market Largest Region By Revenue And Market Share
North America was the largest region in the artificial intelligence (AI) in the defense logistics market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence (AI) in defense logistics market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
Reach Out To Our Team:
The Business Research Company: https://www.thebusinessresearchcompany.com/
Americas: +1 310-496-7795
Asia: +44 7882 955267 & +91 8897263534
Europe: +44 7882 955267
Email us at: marketing@tbrc.info
Follow us on:
LinkedIn: https://in.linkedin.com/company/the-business-research-company
YouTube: https://www.youtube.com/channel/UC24_fI0rV8cR5DxlCpgmyFQ
Global Market Model: https://www.thebusinessresearchcompany.com/global-market-model
Wasay has over a decade of experience in market research, data modelling, and analytics, with prior experience at GlobalData and Decision Tree Consulting Services. At The Business Research Company , he leads research operations across syndicated studies, customized consulting engagements, and the Global Market Model platform. His professional experience includes supporting organizations such as Boston Consulting Group, KPMG, and Ernst & Young. Wasay holds a degree in Electronics and Communications Engineering, postgraduate management qualifications from International Management Institute Belgium and Indian School of Business and Entrepreneurship, and completed the Integrated Program in Business Analytics from Indian Institute of Management Indore.
