Home > Aerospace & Defense > Defense and Safety > AI & Analytics in Military & Defense Market

AI & Analytics in Military & Defense Market Analysis

  • Report ID: GMI12260
  • Published Date: Nov 2024
  • Report Format: PDF

AI & Analytics in Military & Defense Market Analysis

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.
 

  • AI and analytics software in military and defense enable advanced capabilities like predictive maintenance, real-time awareness, and decision support. A key trend is the use of AI-driven platforms that analyze data from various sources to provide useful insights. These platforms enhance defense operations such as intelligence gathering, threat detection, and cybersecurity by processing data in real-time and improving operational efficiency.
     
  • Defense software trends include autonomous systems for unmanned vehicles, drones, and robots used in reconnaissance, surveillance, and logistics. These AI-driven systems adapt to changing battlefield conditions, improving effectiveness. Additionally, AI-powered simulation software is increasingly used for military training, enhancing personnel readiness.
     
AI & Analytics in Military & Defense Market Revenue Share, By Application, (2024)

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.
 

  • Edge computing is transforming data processing in the AI and Analytics for Military and Defense market. This approach moves data analysis closer to the source, such as sensors and unmanned vehicles, instead of relying on centralized cloud systems. By enabling real-time analysis and decision-making, edge computing addresses the critical need for low latency and rapid responses in combat situations, where every second counts.
     
  • A key trend in military information processing is the increased use of big data analytics and AI-driven predictive models. These technologies enhance decision-making and operational planning by analyzing vast amounts of data from satellites, drones, communication networks, and battlefield sensors. AI algorithms process this information in real-time, identifying patterns and generating predictions about enemy movements, resource allocation, and potential threats, thereby improving overall military effectiveness.
     
U.S. AI & Analytics in Military & Defense Market Size, 2021 - 2034 (USD Billion)

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.

Authors: Suraj Gujar, Partha Paul

Frequently Asked Questions (FAQ) :

The global market size for AI & analytics in military & defense was valued at USD 10.4 billion in 2024 and is expected to reach USD 35.8 billion by 2034, driven by a CAGR of 13.4% from 2025 to 2034.

The information processing segment dominated the global market with a revenue of USD 2.2 billion in 2024, driven by the increasing use of AI-powered real-time data analytics.

The North America market held a 37.7% share in 2024, driven by the integration of AI into autonomous systems such as UAVs, ground robots, and ships.

Major players in the industry include Avathon, BAE Systems, CACI International, Charles River Analytics, IBM, L3Harris Technologies, Leonardo, Lockheed Martin, Northrop Grumman, and Nvidia.

AI & Analytics in Military & Defense Market Scope

Buy Now


Premium Report Details

  • Base Year: 2024
  • Companies covered: 16
  • Tables & Figures: 384
  • Countries covered: 18
  • Pages: 210
 Download Free Sample