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市場調查報告書
商品編碼
1574146

國防領域人工智慧 (AI) 市場 – 2024 年至 2029 年預測

Artificial Intelligence (AI) in Defense Market - Forecasts from 2024 to 2029
出版日期: | 出版商: Knowledge Sourcing Intelligence | 英文 152 Pages | 商品交期: 最快1-2個工作天內

價格
簡介目錄

國防領域人工智慧市場規模預計將從 2024 年的 49.56 億美元增至 2029 年的 185.58 億美元，預測期內複合年成長率為 30.22%。

軍事和國防是一個龐大的產業，人工智慧 (AI) 發揮著關鍵作用。人工智慧的進步將為國防技術發展帶來新的機會。除瞭如上所述提高軍事力量的有效性之外，在軍事行動中使用人工智慧還可以增加贏得戰爭的機會。在全球範圍內，許多國家正在採用人工智慧來改善軍事行動並提高軍事生產力。

由於政府繼續將大部分國家預算用於國防，國防用途可能會佔據很大一部分。因此，致力於國防技術的才華橫溢的工程師和研究人員是市場的主要驅動力。借助深度學習電腦，人工智慧可以利用巨量資料來建構神經網路和人工網路。此外，由人工智慧驅動的機器人可以提高人類軍事決策的準確性和有效性，並促進有人和無人系統之間各種類型的機器與人類的戰鬥。

此外，如果沒有執行日常任務的各種國防艦艇、飛機和車輛收集的相關資料，人工智慧就無法前進。軍方利用兵棋、數位模擬和物理防禦演習來收集資料和訓練人工智慧。未來幾年，不斷成長的國防費用可能會導致人工智慧在國防項目設計中的廣泛應用，這可能會推動整體國防人工智慧市場的成長。

國防領域人工智慧的市場促進因素：

  • 增加政府資金以增強和改善國防技術應用預計將推動人工智慧在國防市場的發展。

政府增加對人工智慧國防進步的資助可能會增加此類系統的開發和採用。世界各地出於國家安全考慮的應用進一步推動了對研發、人才獲取、利基硬體和基礎設施的投資。這些應用包括監視、目標識別、半自動車輛/無人機，以及最終的無輔助車輛、網路安全等。人工智慧也為衛星、夜視設備等軍事監視設備和飛彈瞄準系統提供機載感測器。

此外，更多的資金將使我們能夠引進頂尖的人工智慧人才來從事國防相關計劃，加速創新，並幫助建立高效能運算叢集。機器學習、自然語言處理和電腦視覺的改進可能是最終的結果。例如，2024年5月，歐盟委員會透過歐洲防務基金向54個歐洲聯合防務研發計劃投資10.31億歐元。這將加速多個關鍵創新重點領域的數十項技術的開發，包括網路、陸地、空中、海上和天基資產保護，包括化學、生物、放射性和核（CBRN）防禦。

國防人工智慧市場的地理前景：

  • 預計亞太地區將在國防人工智慧市場中佔據主要佔有率。

日本、印度和中國等亞太國家正在見證人工智慧市場的崛起，因為它們擁有許多人工智慧和科技公司的主要參與者。此外，該地區國家正在大力投資新的人工智慧和國防技術。因此，這兩個領域的整合正在國防市場中以人工智慧的形式創造產品，並從政府和私人公司在新興市場進一步開發和部署人工智慧技術的舉措中受益匪淺。

例如，2022 年 7 月，印度國防部長拉吉納特辛格 (Rajnath Singh) 在新德里舉行的首屆人工智慧國防研討會上發表講話，新興企業宣布75 家公司發布了新的人工智慧產品。產品領域包括AI平台自動化、自主/無人/機器人系統、基於區塊鏈的自動化、指揮、控制、通訊和電腦、情報、監視和偵察（C4ISR）、網路安全、人類行為分析、智慧監控系統等。這些政府措施的增加可能有助於整體市場的擴張。

為什麼要購買這份報告？

  • 富有洞察力的分析：獲得涵蓋關鍵和新興地區的深入市場洞察，重點關注客戶細分、政府政策和社會經濟因素、消費者偏好、行業部門和其他子區隔。
  • 競爭格局：了解世界主要參與者所採取的策略策略，並了解採用正確策略滲透市場的潛力。
  • 市場促進因素和未來趨勢：探索動態因素和關鍵市場趨勢以及它們將如何塑造未來市場開拓。
  • 可行的建議：利用洞察力做出策略決策，在動態環境中釋放新的業務流和收益。
  • 面向廣大受眾：對於新興企業、研究機構、顧問、中小型企業和大型企業有用且具有成本效益。

公司使用我們的報告的目的是什麼？

產業與市場考量、機會評估、產品需求預測、打入市場策略、地理擴張、資本投資決策、法律規範與影響、新產品開拓、競爭影響

調查範圍

  • 2022年至2029年歷史資料與預測
  • 成長機會、挑戰、供應鏈前景、法規結構、顧客行為、趨勢分析
  • 競爭對手的市場狀況、策略與市場佔有率分析
  • 包括國家在內的細分市場和地區的收益成長和預測評估
  • 公司簡介（策略、產品、財務資訊、主要動態等）

目錄

第1章簡介

  • 市場概況
  • 市場定義
  • 調查範圍
  • 市場區隔
  • 貨幣
  • 先決條件
  • 基準年和預測年時間表
  • 相關人員的主要利益

第2章調查方法

  • 研究設計
  • 調查過程

第3章執行摘要

  • 主要發現

第4章市場動態

  • 市場促進因素
  • 市場限制因素
  • 波特五力分析
  • 產業價值鏈分析
  • 分析師觀點

第5章 國防領域人工智慧（AI）市場：依應用分類

  • 介紹
  • 情報和監視
  • 網路安全
  • 戰鬥訓練
  • 偵察
  • 其他

第6章 國防領域人工智慧（AI）市場：依平台分類

  • 介紹
  • 土地
  • 航太
  • 海軍

第7章 國防領域人工智慧（AI）市場：依技術分類

  • 介紹
  • 機器學習
  • 電腦視覺
  • 自然語言處理
  • 其他

第8章 國防領域人工智慧（AI）市場：按地區

  • 介紹
  • 北美洲
    • 按用途
    • 按平台
    • 依技術
    • 按國家/地區
  • 南美洲
    • 按用途
    • 按平台
    • 依技術
    • 按國家/地區
  • 歐洲
    • 按用途
    • 按平台
    • 依技術
    • 按國家/地區
  • 中東/非洲
    • 按用途
    • 按平台
    • 依技術
    • 按國家/地區
  • 亞太地區
    • 按用途
    • 按平台
    • 依技術
    • 按國家/地區

第9章競爭環境及分析

  • 主要企業及策略分析
  • 市場佔有率分析
  • 合併、收購、協議和合作
  • 競爭對手儀表板

第10章 公司簡介

  • 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
簡介目錄
Product Code: KSI061614370

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.

Reasons for buying this report:-

  • Insightful Analysis: Gain detailed market insights covering major as well as emerging geographical regions, focusing on customer segments, government policies and socio-economic factors, consumer preferences, industry verticals, other sub- segments.
  • Competitive Landscape: Understand the strategic maneuvers employed by key players globally to understand possible market penetration with the correct strategy.
  • Market Drivers & Future Trends: Explore the dynamic factors and pivotal market trends and how they will shape up future market developments.
  • Actionable Recommendations: Utilize the insights to exercise strategic decision to uncover new business streams and revenues in a dynamic environment.
  • Caters to a Wide Audience: Beneficial and cost-effective for startups, research institutions, consultants, SMEs, and large enterprises.

What do businesses use our reports for?

Industry and Market Insights, Opportunity Assessment, Product Demand Forecasting, Market Entry Strategy, Geographical Expansion, Capital Investment Decisions, Regulatory Framework & Implications, New Product Development, Competitive Intelligence

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