Home > Aerospace & Defense > Defense and Safety > AI & Analytics in Military & Defense Market
The global AI & analytics in military & defense market was valued at USD 10.4 billion in 2024 and is estimated to grow at a CAGR of 13.4% from 2025 to 2034.
Modern warfare's complexity and the need for real-time intelligence drive tactical unmanned aerial system (UAS) market growth, especially in advanced surveillance and reconnaissance. Defense forces are replacing older systems like the RQ-7B Shadow with more efficient and versatile UAS. Integration of AI, machine learning, and autonomous flight systems allows next-gen UAS to operate in contested environments, offering better endurance, autonomy, and integration with defense infrastructures. These advancements make UAS crucial for military operations, border patrol, and counterinsurgency missions.
For instance, in March 2023, the U.S. Army chose Northrop Grumman Corporation and Shield AI to compete in the Future Tactical Unmanned Aircraft System (FTUAS) Increment 2 program. This initiative seeks to replace the long-serving RQ-7B Shadow tactical unmanned aerial system (UAS).
Report Attribute | Details |
---|---|
Base Year: | 2024 |
AI & Analytics in Military & Defense Market Size in 2024: | USD 10.4 billion |
Forecast Period: | 2025 to 2034 |
Forecast Period 2025 to 2034 CAGR: | 13.4% |
2034 Value Projection: | USD 35.8 billion |
Historical Data for: | 2021 – 2024 |
No. of Pages: | 210 |
Tables, Charts & Figures: | 384 |
Segments covered: | Offering, installation type, technology, application, platform & region |
Growth Drivers: |
|
Pitfalls & Challenges: |
|
Autonomous systems, including drones, unmanned ground vehicles (UGVs), and autonomous naval vessels, are becoming integral to military operations. AI-driven systems are expected to manage increasingly complex tasks, from surveillance to precision strikes, minimizing human exposure in high-risk environments. These systems can function independently or in swarms, offering tactical advantages in speed, endurance, and operational flexibility. The ongoing development of autonomous systems, powered by AI and machine learning, will be a key focus area, particularly for missions involving intelligence gathering, logistics, and battlefield support.
AI-driven training and simulation technologies in defense are experiencing significant growth due to demand for cost-effective and immersive solutions. Advanced virtual and mixed-reality environments enable realistic simulations for complex military scenarios without live exercises. AI personalizes training based on individual performance, while machine learning algorithms provide real-time feedback and adapt to evolving combat tactics. As defense budgets prioritize efficiency and readiness, these AI-powered systems are becoming essential for modernizing military training programs, offering comprehensive and tailored learning experience. For instance, in June 2024, a German consortium unveiled the initial AI infrastructure for the Future Combat Air System (FCAS) program, just nine months after receiving the contract from the German armament procurement agency. The consortium includes Helsing, IBM Deutschland, and Schonhofer Sales and Engineering, a subsidiary of Rohde & Schwarz.
Based on offering, the market is segmented into hardware, software and services. The software segment is expected to register a CAGR of over 14% over the forecast period.
Based on application, the market is divided into warfare platforms/weaponry, cybersecurity, logistics & transportation, surveillance & situational awareness, command & control, battlefield healthcare, simulation & training, threat detection, information processing, and others. The information processing segment dominated the global market with a revenue of USD 2.2 billion in 2024.
North America dominated the AI & analytics in military & defense market in 2024 with a 37.7% share. AI integration into autonomous systems, including UAVs, ground robots, and ships, is a key trend in U.S. military technology. These AI-enhanced systems operate with minimal human intervention, making real-time decisions and adapting to complex battlefield environments. This advancement is particularly impactful in intelligence, surveillance, and reconnaissance missions, where autonomous systems efficiently gather data over larger areas than human-controlled assets.
Germany's defense sector is embracing AI integration in military platforms and systems. The armed forces are investing in AI-enhanced technologies like autonomous vehicles, unmanned aerial systems, and robotic systems. These platforms use AI and machine learning for real-time decision-making, navigation, and mission optimization. AI-equipped combat drones, for example, offer improved targeting, reconnaissance, and surveillance while reducing risks to soldiers. This aligns with Germany's goal of enhancing force multiplication, allowing fewer personnel to manage more assets effectively through AI-augmented decision-making.
China is heavily investing in AI-powered autonomous military systems, including drones, robotic ground vehicles, and unmanned naval vessels. These platforms enhance operational efficiency, precision, and cost-effectiveness while reducing risks to human soldiers. AI improves autonomous navigation, target recognition, and real-time decision-making in combat and surveillance missions. By leveraging these technologies, China gains strategic advantages through improved battlefield intelligence, reduced reliance on human personnel, and enhanced defense operations in contested environments.
South Korea's defense strategy emphasizes autonomous systems development. The country invests heavily in AI-powered drones, unmanned ground vehicles (UGVs), and unmanned surface vehicles (USVs) to boost operational capabilities. AI enhances autonomous navigation, target identification, and real-time mission planning, reducing human involvement while improving military efficiency. This focus on autonomous combat systems allows South Korea to respond more effectively to emerging threats, particularly in contested areas like the Korean Peninsula.
The AI and analytics market in military and defense is fiercely competitive. Key players like Avathon, Shield AI, Raytheon, BAE Systems, and Thales lead the field. They focus on developing autonomous systems, AI analytics, and cutting-edge defense tech across areas such as cybersecurity and surveillance. Competition isn't just about innovation; it's also about winning government contracts and forming strategic partnerships. Companies constantly work to integrate AI into defense systems, aiming to boost performance, security, and efficiency. This ongoing push drives both tech advances and market positioning in this fast-changing sector.
Major players operating in the AI & analytics in military & defense industry are:
Click here to Buy Section of this Report
Market, By Offering
Market, By Installation Type
Market, By Technology
Market, By Application
Market, By Platform
The above information is provided for the following regions and countries: