방위용 인공지능(AI) 시장 : 예측(2024-2029년)

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.

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.

The government's increasing funding of AI advancements in defense is likely to increase the development and adoption of such systems. This investment in research and development, talent acquisition, niche hardware, and infrastructure has been further stimulated by world applications of interest to national security. These applications include surveillance, target identification, semi-autonomous vehicles/drones, eventually driverless cars, and cyber security. Moreover, AI also provides automotive sensors for military surveillance equipment such as satellites and night vision devices, as well as missile targeting systems.

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 €1,031 million 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.

Asia Pacific countries such as Japan, India, and China are witnessing rising AI markets because of major key players of AI and technical companies. Additionally, countries in the region are heavily investing in new AI and defense technologies. Therefore, the two merged fields have created a product in the form of AI in the defense market and are benefiting hugely from growing initiatives by governments and private enterprises to develop and deploy AI technologies further in 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.

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Report Coverage:

• Historical data & forecasts from 2022 to 2029
• Growth Opportunities, Challenges, Supply Chain Outlook, Regulatory Framework, Customer Behaviour, and Trend Analysis
• Competitive Positioning, Strategies, and Market Share Analysis
• 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

TABLE OF CONTENTS

1. INTRODUCTION

• 1.1. Market Overview
• 1.2. Market Definition
• 1.3. Scope of the Study
• 1.4. Market Segmentation
• 1.5. Currency
• 1.6. Assumptions
• 1.7. Base and Forecast Years Timeline
• 1.8. Key benefits for the stakeholders

2. RESEARCH METHODOLOGY

• 2.1. Research Design
• 2.2. Research Process

3. EXECUTIVE SUMMARY

• 3.1. Key Findings

4. MARKET DYNAMICS

• 4.1. Market Drivers
• 4.2. Market Restraints
• 4.3. Porter's Five Forces Analysis
  • 4.3.1. Bargaining Power of Suppliers
  • 4.3.2. Bargaining Power of Buyers
  • 4.3.3. Threat of New Entrants
  • 4.3.4. Threat of Substitutes
  • 4.3.5. Competitive Rivalry in the Industry
• 4.4. Industry Value Chain Analysis
• 4.5. Analyst View

5. AI IN DEFENSE MARKET BY APPLICATION

• 5.1. Introduction
• 5.2. Intelligence and Surveillance
• 5.3. Cyber Security
• 5.4. Combat Training
• 5.5. Reconnaissance
• 5.6. Others

6. AI IN DEFENSE MARKET BY PLATFORM

• 6.1. Introduction
• 6.2. Land
• 6.3. Airborne and Space
• 6.4. Naval

7. AI IN DEFENSE MARKET BY TECHNOLOGY

• 7.1. Introduction
• 7.2. Machine Learning
• 7.3. Computer Vision
• 7.4. Natural Language Processing
• 7.5. Others

8. AI IN DEFENSE MARKET BY GEOGRAPHY

• 8.1. Introduction
• 8.2. North America
  • 8.2.1. By Application
  • 8.2.2. By Platform
  • 8.2.3. By Technology
  • 8.2.4. By Country
    • 8.2.4.1. USA
    • 8.2.4.2. Canada
    • 8.2.4.3. Mexico
• 8.3. South America
  • 8.3.1. By Application
  • 8.3.2. By Platform
  • 8.3.3. By Technology
  • 8.3.4. By Country
    • 8.3.4.1. Brazil
    • 8.3.4.2. Argentina
    • 8.3.4.3. Others
• 8.4. Europe
  • 8.4.1. By Application
  • 8.4.2. By Platform
  • 8.4.3. By Technology
  • 8.4.4. By Country
    • 8.4.4.1. Germany
    • 8.4.4.2. France
    • 8.4.4.3. United Kingdom
    • 8.4.4.4. Spain
    • 8.4.4.5. Others
• 8.5. Middle East and Africa
  • 8.5.1. By Application
  • 8.5.2. By Platform
  • 8.5.3. By Technology
  • 8.5.4. By Country
    • 8.5.4.1. Saudi Arabia
    • 8.5.4.2. UAE
    • 8.5.4.3. Israel
    • 8.5.4.4. Others
• 8.6. Asia Pacific
  • 8.6.1. By Application
  • 8.6.2. By Platform
  • 8.6.3. By Technology
  • 8.6.4. By Country
    • 8.6.4.1. China
    • 8.6.4.2. Japan
    • 8.6.4.3. India
    • 8.6.4.4. South Korea
    • 8.6.4.5. Indonesia
    • 8.6.4.6. Australia
    • 8.6.4.7. Taiwan
    • 8.6.4.8. Others

9. COMPETITIVE ENVIRONMENT AND ANALYSIS

• 9.1. Major Players and Strategy Analysis
• 9.2. Market Share Analysis
• 9.3. Mergers, Acquisitions, Agreements, and Collaborations
• 9.4. Competitive Dashboard

10. COMPANY PROFILES

• 10.1. IBM Corporation
• 10.2. Booz Allen Hamilton Inc.
• 10.3. Qualetics Data Machines Inc.
• 10.4. Raytheon Technologies Corporation
• 10.5. Boeing
• 10.6. Lockheed Martin Corporation
• 10.7. Thales Grou
• 10.8. BAE Systems Plc
• 10.9. L3Harris Technologies, Inc.
• 10.10. Northrop Grumman Corporation