The global market for Artificial Intelligence (AI) in Military was estimated at US$14.3 Billion in 2024 and is projected to reach US$29.0 Billion by 2030, growing at a CAGR of 12.5% from 2024 to 2030. This comprehensive report provides an in-depth analysis of market trends, drivers, and forecasts, helping you make informed business decisions. The report includes the most recent global tariff developments and how they impact the Artificial Intelligence (AI) in Military market.
Global Artificial Intelligence (AI) in Military Market - Key Trends and Drivers Summarized
How Is AI Enhancing Surveillance and Intelligence in the Military?
Artificial Intelligence (AI) is profoundly transforming surveillance and intelligence within the military, elevating situational awareness and enabling faster, more informed decision-making on the battlefield. Traditional intelligence-gathering methods have long depended on manual data collection and analysis, which is often limited by human capacity and time constraints. In contrast, AI systems can process massive volumes of data from various sources - satellite imagery, drone footage, radar scans, and intercepted communications - at speeds far beyond human capabilities. For example, advanced machine learning algorithms in geospatial intelligence analyze satellite images in real time, detecting and flagging changes in infrastructure, troop movements, or unusual activity that may signal potential threats. Similarly, AI-driven surveillance drones can autonomously patrol sensitive areas, identifying objects, tracking movement, and even recognizing individuals or vehicles, reducing the need for constant human supervision. Natural language processing (NLP) is another powerful tool, enabling military analysts to sift through vast amounts of intercepted communications and documents quickly, scanning for keywords or phrases that may reveal enemy intentions. By integrating AI into surveillance and intelligence, military operations gain a level of responsiveness, accuracy, and depth of insight previously unattainable, enhancing overall mission success and reducing risks to personnel.Can AI Strengthen Cybersecurity and Electronic Warfare Capabilities?
In an era where cyber threats and electronic warfare are as consequential as traditional combat, AI is emerging as a vital asset in defending against increasingly complex and adaptive cyber threats. Military networks and infrastructure are frequent targets for cyberattacks, which can disrupt critical operations, compromise sensitive data, and impact national security. AI-driven cybersecurity systems provide the predictive and real-time defense mechanisms necessary to safeguard these assets. Machine learning algorithms, for instance, monitor network activity continuously, identifying suspicious patterns and anomalies that may indicate hacking attempts or malware infiltration. Unlike traditional defenses, which often react after a threat is detected, AI-based systems are proactive, using predictive analytics to detect vulnerabilities and prevent breaches before they occur. Additionally, AI enhances electronic warfare by analyzing and interpreting electromagnetic signals, giving the military an edge in intercepting, disrupting, and even spoofing enemy communications and radar systems. Autonomous AI systems can perform electronic jamming and signal interference with precision, making it more challenging for adversaries to execute their communication and coordination strategies effectively. Through its capabilities in cybersecurity and electronic warfare, AI fortifies military defenses in the digital domain, ensuring that critical systems remain secure and operational, even amidst sophisticated cyber threats.How Is AI Transforming Autonomous Combat and Logistics in the Military?
AI is revolutionizing autonomous systems in the military, reshaping both combat operations and logistical support in ways that enhance strategic flexibility and reduce risk to personnel. AI-driven autonomous drones and vehicles are now capable of conducting reconnaissance missions in high-risk or hard-to-reach areas, collecting critical intelligence without endangering human operators. For example, autonomous drones equipped with AI can navigate hostile environments, gather real-time data on enemy positions, and even assess the terrain, allowing commanders to make tactical decisions based on accurate, up-to-the-minute information. In combat, AI-enabled systems such as autonomous tanks, unmanned combat vehicles, and robotic soldiers are beginning to execute specific operations with minimal human intervention, which allows for more dynamic and responsive battlefield strategies. Logistics, another essential aspect of military operations, also benefits from AI-driven optimization. Autonomous vehicles and drones can transport supplies to frontlines, even through dangerous zones, ensuring that troops have the necessary resources regardless of terrain or enemy interference. Furthermore, AI-powered predictive analytics can forecast demand for ammunition, medical supplies, and food based on mission requirements, optimizing supply chains and reducing waste. By integrating AI into both combat and logistics, militaries can increase operational efficiency, minimize risk to personnel, and maintain a robust supply chain, even in the most challenging environments.What Factors Are Fueling the Expansion of AI in the Military Sector?
The growth of AI in the military sector is driven by a combination of technological advancements, evolving security threats, and the strategic need to maintain a competitive advantage in an increasingly complex global landscape. Rising geopolitical tensions and the nature of modern warfare, which includes cyber and electronic threats as well as traditional combat, are prompting militaries worldwide to adopt AI as a force multiplier. Technological progress in areas such as machine learning, computer vision, and autonomous navigation has made AI applications more reliable and effective for military uses, from autonomous systems to real-time data analysis. The need for rapid, accurate decision-making on the battlefield is a significant driver as well, as AI can process and interpret vast amounts of real-time data, allowing commanders to make informed decisions faster than ever before. Additionally, the increasing frequency and sophistication of cyber threats have led to greater adoption of AI-driven cybersecurity solutions that can detect, anticipate, and neutralize threats proactively, which is crucial in protecting military infrastructure and sensitive data. The global push for more efficient, automated defense operations is also contributing to AI growth, as militaries seek to maximize resource use, streamline logistics, and improve battlefield response times. Government investments and collaborations between defense agencies and technology companies are accelerating innovation in military AI applications, expanding the sector’s capabilities and reach. Together, these factors highlight AI’s growing importance in defense, offering militaries enhanced efficiency, resilience, and tactical advantage in an evolving security landscape.SCOPE OF STUDY:
The report analyzes the Artificial Intelligence (AI) in Military market in terms of units by the following Segments, and Geographic Regions/Countries:- Segments: Platform (Land, Naval, Airborne, Space); Component (Software, Hardware, Services); Technology (Learning & Intelligence, Advanced Computing, AI Systems)
- Geographic Regions/Countries: World; United States; Canada; Japan; China; Europe (France; Germany; Italy; United Kingdom; and Rest of Europe); Asia-Pacific; Rest of World.
Key Insights:
- Market Growth: Understand the significant growth trajectory of the Land segment, which is expected to reach US$11.0 Billion by 2030 with a CAGR of a 10.9%. The Naval segment is also set to grow at 12.1% CAGR over the analysis period.
- Regional Analysis: Gain insights into the U.S. market, valued at $3.9 Billion in 2024, and China, forecasted to grow at an impressive 11.9% CAGR to reach $4.5 Billion by 2030. Discover growth trends in other key regions, including Japan, Canada, Germany, and the Asia-Pacific.
Why You Should Buy This Report:
- Detailed Market Analysis: Access a thorough analysis of the Global Artificial Intelligence (AI) in Military Market, covering all major geographic regions and market segments.
- Competitive Insights: Get an overview of the competitive landscape, including the market presence of major players across different geographies.
- Future Trends and Drivers: Understand the key trends and drivers shaping the future of the Global Artificial Intelligence (AI) in Military Market.
- Actionable Insights: Benefit from actionable insights that can help you identify new revenue opportunities and make strategic business decisions.
Key Questions Answered:
- How is the Global Artificial Intelligence (AI) in Military Market expected to evolve by 2030?
- What are the main drivers and restraints affecting the market?
- Which market segments will grow the most over the forecast period?
- How will market shares for different regions and segments change by 2030?
- Who are the leading players in the market, and what are their prospects?
Report Features:
- Comprehensive Market Data: Independent analysis of annual sales and market forecasts in US$ Million from 2024 to 2030.
- In-Depth Regional Analysis: Detailed insights into key markets, including the U.S., China, Japan, Canada, Europe, Asia-Pacific, Latin America, Middle East, and Africa.
- Company Profiles: Coverage of players such as BAE Systems, Boeing, CACi International, Charles River Analytics, Cray and more.
- Complimentary Updates: Receive free report updates for one year to keep you informed of the latest market developments.
Some of the 237 companies featured in this Artificial Intelligence (AI) in Military market report include:
- BAE Systems
- Boeing
- CACi International
- Charles River Analytics
- Cray
- DarKTrace
- General Dynamics
- Harris Corporation
- IBM
- Leidos
- Lockheed Martin
- Northrop Grumman
- NVIDIA
- Raytheon Company
- SAIC
- SAS
- Securonix
- Soartech
- SparkCognition
- Thales Group
- Xilinx
This edition integrates the latest global trade and economic shifts as of June 2025 into comprehensive market analysis. Key updates include:
- Tariff and Trade Impact: Insights into global tariff negotiations across 180+ countries, with analysis of supply chain turbulence, sourcing disruptions, and geographic realignment. Special focus on 2025 as a pivotal year for trade tensions, including updated perspectives on the Trump-era tariffs.
- Adjusted Forecasts and Analytics: Revised global and regional market forecasts through 2030, incorporating tariff effects, economic uncertainty, and structural changes in globalization. Includes segmentation by product, technology, type, material, distribution channel, application, and end-use, with historical analysis since 2015.
- Strategic Market Dynamics: Evaluation of revised market prospects, regional outlooks, and key economic indicators such as population and urbanization trends.
- Innovation & Technology Trends: Latest developments in product and process innovation, emerging technologies, and key industry drivers shaping the competitive landscape.
- Competitive Intelligence: Updated global market share estimates for 2025, competitive positioning of major players (Strong/Active/Niche/Trivial), and refined focus on leading global brands and core players.
- Expert Insight & Commentary: Strategic analysis from economists, trade experts, and domain specialists to contextualize market shifts and identify emerging opportunities.
- Complimentary Update: Buyers receive a free July 2025 update with finalized tariff impacts, new trade agreement effects, revised projections, and expanded country-level coverage.
Table of Contents
I. METHODOLOGYII. EXECUTIVE SUMMARY2. FOCUS ON SELECT PLAYERS
1. MARKET OVERVIEW
3. MARKET TRENDS & DRIVERS
4. GLOBAL MARKET PERSPECTIVE
III. MARKET ANALYSIS
Companies Mentioned (Partial List)
A selection of companies mentioned in this report includes, but is not limited to:
- BAE Systems
- Boeing
- CACi International
- Charles River Analytics
- Cray
- DarKTrace
- General Dynamics
- Harris Corporation
- IBM
- Leidos
- Lockheed Martin
- Northrop Grumman
- NVIDIA
- Raytheon Company
- SAIC
- SAS
- Securonix
- Soartech
- SparkCognition
- Thales Group
- Xilinx
Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 193 |
| Published | June 2025 |
| Forecast Period | 2024 - 2030 |
| Estimated Market Value ( USD | $ 14.3 Billion |
| Forecasted Market Value ( USD | $ 29 Billion |
| Compound Annual Growth Rate | 12.5% |
| Regions Covered | Global |
