Dublin, Jan. 29, 2026 (GLOBE NEWSWIRE) — The “Artificial Intelligence (AI) in Defense Logistics Market Report 2026” has been added to ResearchAndMarkets.com’s offering.
The artificial intelligence (AI) in defense logistics market is witnessing substantial growth, with projections indicating an increase from $2.3 billion in 2025 to $2.73 billion in 2026, showcasing a CAGR of 18.4%. Several factors drive this growth, including automated inventory management, predictive maintenance, AI integration in route planning, and the adoption of autonomous vehicles. By 2030, the market is expected to reach $5.31 billion, propelled by AI-driven warehouse automation, real-time asset tracking, AI-enabled procurement platforms, and the incorporation of blockchain for secure logistics.
Technological advancements such as AI-based supply chain management are central to this growth. These solutions help maintain seamless military operations by predicting supply chain disruptions and optimizing logistics in real-time. For example, the US Defense Logistics Agency’s AI tool, developed in March 2025, aids in monitoring supply chain risks by identifying unreliable suppliers and optimizing procurement processes to maintain mission readiness.
Digital transformation plays a crucial role in this market’s expansion. As organizations seek greater operational efficiency, AI-powered systems enhance defense logistics by optimizing supply chain management and predicting equipment maintenance needs. A notable instance is the UK Government’s digital profession, which expanded by 19% from April 2022 to April 2023, underscoring the growing reliance on digital transformation to drive AI adoption.
Key players, such as BigBear.ai, Microsoft Corporation, The Boeing Company, and Lockheed Martin Corporation, are at the forefront, developing AI solutions for defense logistics. In July 2025, BigBear.ai partnered with DEFCON AI to advance military readiness through AI-driven analytics, strengthening situational awareness and logistics capabilities.
Regionally, North America leads the AI in defense logistics market as of 2025, with Asia-Pacific expected to show the fastest growth. Despite this optimism, the market confronts challenges from global trade relations and tariffs, impacting hardware-related AI solutions such as autonomous vehicles and sensor networks. Nevertheless, these challenges also spur regional manufacturing and innovation, enhancing supply security and fostering domestic advancements in AI-based logistics.
The market’s diverse geographical span includes regions such as Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa. Countries covered in the market report include the USA, China, India, UK, Germany, and others, underscoring the market’s global reach.
The AI in defense logistics market report offers comprehensive insights into market size, regional shares, competitor analysis, and future trends. With software, hardware, and services as its core components, AI in defense logistics optimizes inventory management, fleet operations, and supply chain decisions, enhancing agility and mission effectiveness across defense branches worldwide.
Scope and Coverage
- Markets Covered: By Component (Software, Hardware, Services), By Deployment Mode (On-Premises, Cloud), By Application (Inventory Management, Fleet Management, etc.), By End-User (Army, Navy, Air Force, etc.).
- Subsegments: Include Enterprise Resource Planning (ERP) Software, Autonomous Vehicles, System Integration Services, among others.
- Companies Mentioned: Microsoft Corporation, The Boeing Company, Lockheed Martin Corporation, SAP SE, Thales Group, and others.
- Geographical Coverage: Asia-Pacific, Europe, North America, and more, with a detailed overview of regions crucial for supply chain realignments.
Key Attributes:
| Report Attribute | Details |
| No. of Pages | 250 |
| Forecast Period | 2026 – 2030 |
| Estimated Market Value (USD) in 2026 | $2.73 Billion |
| Forecasted Market Value (USD) by 2030 | $5.31 Billion |
| Compound Annual Growth Rate | 18.1% |
| Regions Covered | Global |
Key Topics Covered:
1. Executive Summary
1.1. Key Market Insights (2020-2035)
1.2. Visual Dashboard: Market Size, Growth Rate, Hotspots
1.3. Major Factors Driving the Market
1.4. Top Three Trends Shaping the Market
2. Artificial Intelligence (AI) in Defense Logistics Market Characteristics
2.1. Market Definition & Scope
2.2. Market Segmentations
2.3. Overview of Key Products and Services
2.4. Global Artificial Intelligence (AI) in Defense Logistics Market Attractiveness Scoring and Analysis
2.4.1. Overview of Market Attractiveness Framework
2.4.2. Quantitative Scoring Methodology
2.4.3. Factor-Wise Evaluation (Growth Potential Analysis, Competitive Dynamics Assessment, Strategic Fit Assessment and Risk Profile Evaluation)
2.4.4. Market Attractiveness Scoring and Interpretation
2.4.5. Strategic Implications and Recommendations
3. Artificial Intelligence (AI) in Defense Logistics Market Supply Chain Analysis
3.1. Overview of the Supply Chain and Ecosystem
3.2. List of Key Raw Materials, Resources & Suppliers
3.3. List of Major Distributors and Channel Partners
3.4. List of Major End Users
4. Global Artificial Intelligence (AI) in Defense Logistics Market Trends and Strategies
4.1. Key Technologies & Future Trends
4.1.1 Artificial Intelligence & Autonomous Intelligence
4.1.2 Digitalization, Cloud, Big Data & Cybersecurity
4.1.3 Autonomous Systems, Robotics & Smart Mobility
4.1.4 Internet of Things (IoT), Smart Infrastructure & Connected Ecosystems
4.1.5 Industry 4.0 & Intelligent Manufacturing
4.2. Major Trends
4.2.1 Increasing Joint and Coalition Interoperability Requirements for Ai-Enabled Defense Logistics Platforms
4.2.2 Shift Toward Performance-Based and Outcome-Based Logistics Contracts in Military Supply Chains
4.2.3 Growing Focus on Supply Chain Resilience and Redundancy for Mission-Critical Defense Operations
4.2.4 Expansion of Public-Private Partnerships Between Defense Organizations, Primes, and Ai-Focused SMEs for Logistics Modernization
4.2.5 Rising Investment in Specialized Training, Doctrine, and Change Management for Ai-Enabled Logistics Decision-Making
5. Artificial Intelligence (AI) in Defense Logistics Market Analysis of End Use Industries
5.1. Army (Land Forces)
5.2. Navy (Maritime Forces)
5.3. Air Force (Air and Space Forces)
5.4. Joint and Allied Commands (E.G., Joint Task Forces, Coalition Commands)
5.5. Defense Logistics Agencies and Centralized Defense Supply Organizations
6. Artificial Intelligence (AI) in Defense Logistics Market – Macro Economic Scenario Including the Impact of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, Supply Chain Impact from Tariff War & Trade Protectionism, and Covid and Recovery on the Market
7. Global Artificial Intelligence (AI) in Defense Logistics Strategic Analysis Framework, Current Market Size, Market Comparisons and Growth Rate Analysis
7.1. Global Artificial Intelligence (AI) in Defense Logistics PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
7.2. Global Artificial Intelligence (AI) in Defense Logistics Market Size, Comparisons and Growth Rate Analysis
7.3. Global Artificial Intelligence (AI) in Defense Logistics Historic Market Size and Growth, 2020 – 2025, Value ($ Billion)
7.4. Global Artificial Intelligence (AI) in Defense Logistics Forecast Market Size and Growth, 2025 – 2030, 2035F, Value ($ Billion)
8. Global Artificial Intelligence (AI) in Defense Logistics Total Addressable Market (TAM) Analysis for the Market
8.1. Definition and Scope of Total Addressable Market (TAM)
8.2. Methodology and Assumptions
8.3. Global Total Addressable Market (TAM) Estimation
8.4. TAM vs. Current Market Size Analysis
8.5. Strategic Insights and Growth Opportunities from TAM Analysis
Companies Featured
- 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.
For more information about this report visit https://www.researchandmarkets.com/r/g36chg
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- AI in Defense Logistics Market
