The AI in defense market is estimated to expand at a growth rate of 30.22% CAGR during the projected period to account for US$18.558 billion by 2029, up from US$4.956 billion in 2024.
The military and defense are vast industries where artificial intelligence (AI) plays a significant role. Progress in AI enables new opportunities for developing defense technologies. In addition to the aforementioned increase in the effectiveness of military forces, using AI in military operations is also more likely to result in a victory of war. Globally, many nations employ AI to improve their military operations and increase their forces' productivity.
Defense objectives will hold a significant share as the government continues spending more of its national budget on defense. As such, qualified engineers and researchers working on defense-purpose technologies are being the major market drivers. For deep learning computers, AI allows for creating neural networks and artificial networks using big data. Moreover, AI-powered robots can enhance the precision and efficacy of military judgments made by humans, facilitating machine-human combat of all kinds between manned and unmanned systems.
Additionally, AI cannot move forward without relevant data gathered by different defense ships, aircraft, and vehicles on everyday duty. The military collects the data using war games, digital simulations, and physical defense exercises, which train the AI. In the coming years, increasing defense spending is likely to lead to a wider application of AI for designing defensive programs, which will drive the overall AI in the defense market’s growth.
In addition, more funding can bring in the best AI talent working on defense-related projects, speed up innovation, and help build high-performance computing clusters. Improvements in machine learning, natural language processing, and computer vision will be its eventual outcome. For instance, in May 2024, through the European Defence Fund, the European Commission invested €1.03 billion in 54 joint European defense research and development projects. It is set to facilitate the development of dozens of technologies spanning multiple critical innovation focus areas such as cyber, land, air, sea, and space-based asset protection, including Chemical, Biological, Radiological, and Nuclear (CBRN) defense.
For instance, in July 2022, India’s Defense Minister, Shri Rajnath Singh, launched 75 new AI products developed by the Indian private sector and start-ups and product development companies at the first-ever 'AI in Defence' symposium, a two-day event held in New Delhi. Domains of products include AI Platform Automation, Autonomous/Unmanned/Robotics systems, Block Chain-based Automation, Command, Control, Communication & Computer & Intelligence and Surveillance & Reconnaissance (C4ISRs), Cyber Security, Human Behavioural Analysis, Intelligent Monitoring Systems, among others. These increasing government initiatives to advance AI in defense will contribute to the overall market expansion.
The military and defense are vast industries where artificial intelligence (AI) plays a significant role. Progress in AI enables new opportunities for developing defense technologies. In addition to the aforementioned increase in the effectiveness of military forces, using AI in military operations is also more likely to result in a victory of war. Globally, many nations employ AI to improve their military operations and increase their forces' productivity.
Defense objectives will hold a significant share as the government continues spending more of its national budget on defense. As such, qualified engineers and researchers working on defense-purpose technologies are being the major market drivers. For deep learning computers, AI allows for creating neural networks and artificial networks using big data. Moreover, AI-powered robots can enhance the precision and efficacy of military judgments made by humans, facilitating machine-human combat of all kinds between manned and unmanned systems.
Additionally, AI cannot move forward without relevant data gathered by different defense ships, aircraft, and vehicles on everyday duty. The military collects the data using war games, digital simulations, and physical defense exercises, which train the AI. In the coming years, increasing defense spending is likely to lead to a wider application of AI for designing defensive programs, which will drive the overall AI in the defense market’s growth.
AI IN DEFENSE MARKET DRIVERS:
- Increasing government funding to enhance and improve technological applications in defense is expected to boost AI in the defense market.
In addition, more funding can bring in the best AI talent working on defense-related projects, speed up innovation, and help build high-performance computing clusters. Improvements in machine learning, natural language processing, and computer vision will be its eventual outcome. For instance, in May 2024, through the European Defence Fund, the European Commission invested €1.03 billion in 54 joint European defense research and development projects. It is set to facilitate the development of dozens of technologies spanning multiple critical innovation focus areas such as cyber, land, air, sea, and space-based asset protection, including Chemical, Biological, Radiological, and Nuclear (CBRN) defense.
AI in defense market Geographical Outlook:
- The Asia Pacific region is anticipated to hold a significant AI in Defense market share.
For instance, in July 2022, India’s Defense Minister, Shri Rajnath Singh, launched 75 new AI products developed by the Indian private sector and start-ups and product development companies at the first-ever 'AI in Defence' symposium, a two-day event held in New Delhi. Domains of products include AI Platform Automation, Autonomous/Unmanned/Robotics systems, Block Chain-based Automation, Command, Control, Communication & Computer & Intelligence and Surveillance & Reconnaissance (C4ISRs), Cyber Security, Human Behavioural Analysis, Intelligent Monitoring Systems, among others. These increasing government initiatives to advance AI in defense will contribute to the overall market expansion.
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Industry and Market Insights, Opportunity Assessment, Product Demand Forecasting, Market Entry Strategy, Geographical Expansion, Capital Investment Decisions, Regulatory Framework & Implications, New Product Development, Competitive IntelligenceReport Coverage:
- Historical data & forecasts from 2022 to 2029
- Growth Opportunities, Challenges, Supply Chain Outlook, Regulatory Framework, Customer Behaviour, and Trend Analysis
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- Revenue Growth and Forecast Assessment of segments and regions including countries
- Company Profiling (Strategies, Products, Financial Information, and Key Developments among others)
Market Segmentation:
The AI in defense market is segmented and analyzed as below:- By Application
- Intelligence and Surveillance
- Cyber Security
- Combat Training
- Reconnaissance
- Others
- By Platform
- Land
- Airborne and Space
- Naval
- By Technology
- Machine Learning
- Computer Vision
- Natural Language Processing
- Others
- By Geography
- North America
- USA
- Canada
- Mexico
- South America
- Brazil
- Argentina
- Others
- Europe
- Germany
- France
- United Kingdom
- Spain
- Others
- Middle East and Africa
- Saudi Arabia
- UAE
- Israel
- Others
- Asia Pacific
- Japan
- China
- India
- South Korea
- Indonesia
- Taiwan
- Australia
- Others
- North America
Table of Contents
1. INTRODUCTION
2. RESEARCH METHODOLOGY
3. EXECUTIVE SUMMARY
4. MARKET DYNAMICS
5. AI IN DEFENSE MARKET BY APPLICATION
6. AI IN DEFENSE MARKET BY PLATFORM
7. AI IN DEFENSE MARKET BY TECHNOLOGY
8. AI IN DEFENSE MARKET BY GEOGRAPHY
9. COMPETITIVE ENVIRONMENT AND ANALYSIS
10. COMPANY PROFILES
Companies Mentioned
Some of the key companies profiled in this Artificial Intelligence (AI) in Defense Market report include:- IBM Corporation
- Booz Allen Hamilton Inc.
- Qualetics Data Machines Inc.
- Raytheon Technologies Corporation
- Boeing
- Lockheed Martin Corporation
- Thales Grou
- BAE Systems Plc
- L3Harris Technologies, Inc.
- Northrop Grumman Corporation
Methodology
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Table Information
Report Attribute | Details |
---|---|
No. of Pages | 152 |
Published | September 2024 |
Forecast Period | 2024 - 2029 |
Estimated Market Value ( USD | $ 4.96 billion |
Forecasted Market Value ( USD | $ 18.56 billion |
Compound Annual Growth Rate | 30.2% |
Regions Covered | Global |
No. of Companies Mentioned | 10 |