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市場調查報告書
商品編碼
1936185

國防和航空航太領域人工智慧市場規模、佔有率及預測：依應用（自主系統、預測性維護、智慧分析）、部署類型、技術、平台和最終用戶劃分 - 全球預測（2026-2036 年）

AI in Defense & Aerospace Market Size, Share, & Forecast by Application (Autonomous Systems, Predictive Maintenance, Intelligence Analysis), Deployment Type, Technology, Platform, and End-User - Global Forecast (2026-2036)
出版日期: | 出版商: Meticulous Research | 英文 296 Pages | 商品交期: 5-7個工作天內

價格
簡介目錄

全球國防和航空航太領域人工智慧市場預計將從 2026 年的 42 億美元成長到 2036 年的 428 億美元，2026 年至 2036 年的複合年增長率 (CAGR) 為 26.4%。本報告詳細分析了五個主要區域的國防和航空航太領域人工智慧市場，重點關注當前市場趨勢、市場規模、最新發展以及到 2036 年的預測。透過廣泛的二級和一級研究以及對市場現狀的詳細分析，我們分析了關鍵產業驅動因素、限制因素、機會和挑戰的影響。市場成長的驅動因素包括自主系統的日益普及、對預測性維護需求的不斷增長以及對高階智慧分析日益增長的需求。

目錄

第一章：引言

第二章：摘要整理

  • 主要發現
  • 市場規模與成長
  • 競爭格局

第三章：市場動態

  • 驅動因素
  • 限制因素
  • 機遇
  • 挑戰

第四章：科技趨勢

  • 人工智慧技術在國防領域的演進
  • 主要技術發展趨勢
  • 專利分析

第五章：監理架構

  • 國際法與條約
  • 國家人工智慧防禦策略
  • 道德準則

第六章 價值鏈分析

  • 組件供應商
  • 技術開發商
  • 系統整合商
  • 最終用戶

第七章 全球國防與航空航太人工智慧市場（依應用領域劃分）

  • 自主系統
    • 無人機 (UAV)
    • 無人地面車輛 (UGV)
    • 無人海上系統
    • 無人機群技術
  • 預測性維護
    • 飛機機隊管理
    • 車輛和資產維護
    • 海軍系統維護
  • 情報、監視和偵察 (ISR)
    • 影像與視訊分析
    • 信號情報 (SIGINT)
    • 地理空間情報 (GEOINT)
    • 多情報融合
  • 網路安全與威脅偵測
  • 指揮控制系統
  • 仿真與訓練
  • 物流與供應鏈最佳化
  • 目標識別與追蹤

第八章：全球國防與航空航太人工智慧市場（依部署類型劃分）

  • 本地部署
    • 機密網路部署
    • 戰術邊緣運算
  • 雲端部署
    • 安全軍用雲
    • 商業雲端集成
  • 混合部署

第九章：全球國防與航空航太人工智慧市場:各技術

  • 機器學習與深度學習
    • 監督學習
    • 無監督學習
    • 強化學習
  • 電腦視覺
  • 自然語言處理
  • 機器人流程自動化
  • 專家系統

第十章：全球國防與航空航太人工智慧市場（依平台劃分）

  • 空中平台
    • 戰鬥機
    • 軍用直升機
    • 運輸機
    • 無人機
  • 陸上平台
    • 裝甲車輛
    • 火砲系統
    • 地面支援系統
  • 海軍平台
    • 船艦和潛水艇
    • 無人水面航行器
    • 無人水下航行器
  • 天基
  • 地面站和指揮中心

第十一章 全球國防與航空航太人工智慧市場（依最終用戶劃分）

  • 軍方
    • 陸軍
    • 海軍
    • 空軍
    • 太空軍
  • 國防承包商和原始設備製造商
  • 情報機構
  • 國土安全部
  • 民用航空航天

第十二章 國防與航空航太人工智慧市場（依地區劃分）

  • 北美
    • 美國美國
    • 加拿大
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 義大利
    • 西班牙 歐洲其他國家
  • 亞太地區
    • 中國
    • 印度
    • 日本
    • 韓國
    • 澳大利亞 亞太其他國家
  • 中東和非洲
    • 以色列
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 南非 中東和非洲其他國家
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 拉丁美洲其他國家

第十三章 競爭格局

  • 市佔率分析
  • 競爭對手標竿分析
  • 關鍵策略趨勢

第十四章 公司簡介

  • 洛克希德馬丁公司
  • 諾斯羅普·格魯曼公司
  • 雷神科技公司
  • 波音公司
  • 英國航空航天系統公司
  • 帕蘭提爾科技公司
  • 安杜里爾工業公司
  • Shield AI
  • 通用動力公司
  • L3Harris技術公司
  • 泰雷茲集團
  • 萊昂納多集團
  • CACI國際公司
  • 博思艾倫諮詢公司
  • 薩博公司
  • 埃爾比特系統有限公司
  • 雷多斯控股公司
  • SparkCognition公司
  • C3.ai公司
  • IBM公司
  • 其他

第十五章 附錄

簡介目錄
Product Code: MRAD - 1041696

AI in Defense & Aerospace Market by Application (Autonomous Systems, Predictive Maintenance, Intelligence Analysis), Deployment Type, Technology, Platform, and End-User - Global Forecast (2026-2036)

According to the research report titled, 'AI in Defense & Aerospace Market by Application (Autonomous Systems, Predictive Maintenance, Intelligence Analysis), Deployment Type, Technology, Platform, and End-User - Global Forecast (2026-2036),' the global AI in defense & aerospace market is expected to reach USD 42.8 billion by 2036 from USD 4.2 billion in 2026, at a CAGR of 26.4% from 2026 to 2036. The report provides an in-depth analysis of the global AI in defense & aerospace market across five major regions, emphasizing the current market trends, market sizes, recent developments, and forecasts till 2036. Following extensive secondary and primary research and an in-depth analysis of the market scenario, the report conducts the impact analysis of the key industry drivers, restraints, opportunities, and challenges. The growth of this market is driven by the increasing adoption of autonomous systems, the rising demand for predictive maintenance, and the growing need for advanced intelligence analysis.

The key players operating in the AI in defense & aerospace market are Lockheed Martin (U.S.), Northrop Grumman (U.S.), Raytheon Technologies (U.S.), Boeing (U.S.), BAE Systems (U.K.), Palantir Technologies (U.S.), Anduril Industries (U.S.), Shield AI (U.S.), General Dynamics (U.S.), L3Harris Technologies (U.S.), Thales Group (France), Leonardo S.p.A. (Italy), CACI International (U.S.), Booz Allen Hamilton (U.S.), and others.

The AI in defense & aerospace market is segmented by application (autonomous systems, predictive maintenance, intelligence analysis), deployment type (cloud, on-premise), technology (machine learning, deep learning, natural language processing, computer vision), platform (hardware, software), end-user (defense, aerospace), and geography. The study also evaluates industry competitors and analyzes the market at the country level.

Application Segment Analysis

Based on application, the autonomous systems segment is estimated to hold the largest share of the market in 2026, driven by widespread deployment of military drones, development of autonomous combat vehicles, swarm technology demonstrations, and strategic focus on unmanned capabilities reducing human casualties.

Deployment Type Segment Analysis

Based on deployment type, the cloud-based segment is expected to witness the highest growth during the forecast period, driven by secure military cloud infrastructure development, need for distributed AI training and updates, multi-domain integration requirements, and classified cloud computing initiatives.

Geographic Analysis

An in-depth geographic analysis of the industry provides detailed qualitative and quantitative insights into the five major regions (North America, Europe, Asia-Pacific, Latin America, and the Middle East & Africa) and the coverage of major countries in each region. North America is estimated to account for the largest share of the global AI in defense & aerospace market, driven by massive defense budgets, presence of leading AI defense contractors including Lockheed Martin, Northrop Grumman, and Palantir, extensive military AI research programs, and early adoption of autonomous systems across all military branches. Asia-Pacific is projected to register the highest CAGR during the forecast period, fueled by rapidly increasing defense budgets in China, India, and Japan, military modernization initiatives, development of domestic AI defense capabilities, and government investments in autonomous weapons systems.

Key Questions Answered in the Report

  • What is the current revenue generated by the AI in defense & aerospace market globally?
  • At what rate is the global AI in defense & aerospace demand projected to grow for the next 7-10 years?
  • What are the historical market sizes and growth rates of the global AI in defense & aerospace market?
  • What are the major factors impacting the growth of this market at the regional and country levels? What are the major opportunities for existing players and new entrants in the market?
  • Which segments in terms of application, deployment type, and technology are expected to create major traction for the manufacturers in this market?
  • What are the key geographical trends in this market? Which regions/countries are expected to offer significant growth opportunities for the companies operating in the global AI in defense & aerospace market?
  • Who are the major players in the global AI in defense & aerospace market? What are their specific product offerings in this market?
  • What are the recent strategic developments in the global AI in defense & aerospace market? What are the impacts of these strategic developments on the market?

Scope of the Report

  • AI in Defense & Aerospace Market Assessment -- by Application
  • Autonomous Systems
  • Predictive Maintenance
  • Intelligence Analysis
  • AI in Defense & Aerospace Market Assessment -- by Deployment Type
  • Cloud
  • On-premise
  • AI in Defense & Aerospace Market Assessment -- by Technology
  • Machine Learning
  • Deep Learning
  • Natural Language Processing
  • Computer Vision
  • AI in Defense & Aerospace Market Assessment -- by Platform
  • Hardware
  • Software
  • AI in Defense & Aerospace Market Assessment -- by End-User
  • Defense
  • Aerospace
  • AI in Defense & Aerospace Market Assessment -- by Geography
  • North America
  • U.S.
  • Canada
  • Europe
  • Germany
  • U.K.
  • France
  • Italy
  • Spain
  • Rest of Europe
  • Asia-Pacific
  • China
  • Japan
  • India
  • South Korea
  • Rest of Asia-Pacific
  • Latin America
  • Middle East & Africa

TABLE OF CONTENTS

1. Introduction

  • 1.1. Market Definition
  • 1.2. Market Segmentation
  • 1.3. Research Methodology

2. Executive Summary

  • 2.1. Key Findings
  • 2.2. Market Size and Growth
  • 2.3. Competitive Landscape

3. Market Dynamics

  • 3.1. Drivers
  • 3.2. Restraints
  • 3.3. Opportunities
  • 3.4. Challenges

4. Technology Landscape

  • 4.1. AI Technology Evolution in Defense
  • 4.2. Key Technology Developments
  • 4.3. Patent Analysis

5. Regulatory Framework

  • 5.1. International Laws and Treaties
  • 5.2. National AI Defense Strategies
  • 5.3. Ethical Guidelines

6. Value Chain Analysis

  • 6.1. Component Suppliers
  • 6.2. Technology Developers
  • 6.3. System Integrators
  • 6.4. End Users

7. Global AI in Defense & Aerospace Market, by Application

  • 7.1. Introduction
  • 7.2. Autonomous Systems
    • 7.2.1. Unmanned Aerial Vehicles (UAVs)
    • 7.2.2. Unmanned Ground Vehicles (UGVs)
    • 7.2.3. Unmanned Maritime Systems
    • 7.2.4. Drone Swarm Technology
  • 7.3. Predictive Maintenance
    • 7.3.1. Aircraft Fleet Management
    • 7.3.2. Vehicle and Equipment Maintenance
    • 7.3.3. Naval Systems Maintenance
  • 7.4. Intelligence, Surveillance & Reconnaissance (ISR)
    • 7.4.1. Image and Video Analysis
    • 7.4.2. Signals Intelligence (SIGINT)
    • 7.4.3. Geospatial Intelligence (GEOINT)
    • 7.4.4. Multi-Intelligence Fusion
  • 7.5. Cybersecurity and Threat Detection
  • 7.6. Command and Control Systems
  • 7.7. Simulation and Training
  • 7.8. Logistics and Supply Chain Optimization
  • 7.9. Target Recognition and Tracking

8. Global AI in Defense & Aerospace Market, by Deployment Type

  • 8.1. Introduction
  • 8.2. On-Premise
    • 8.2.1. Classified Network Deployments
    • 8.2.2. Tactical Edge Computing
  • 8.3. Cloud-Based
    • 8.3.1. Secure Military Cloud
    • 8.3.2. Commercial Cloud Integration
  • 8.4. Hybrid

9. Global AI in Defense & Aerospace Market, by Technology

  • 9.1. Introduction
  • 9.2. Machine Learning and Deep Learning
    • 9.2.1. Supervised Learning
    • 9.2.2. Unsupervised Learning
    • 9.2.3. Reinforcement Learning
  • 9.3. Computer Vision
  • 9.4. Natural Language Processing
  • 9.5. Robotic Process Automation
  • 9.6. Expert Systems

10. Global AI in Defense & Aerospace Market, by Platform

  • 10.1. Introduction
  • 10.2. Airborne
    • 10.2.1. Fighter Aircraft
    • 10.2.2. Military Helicopters
    • 10.2.3. Transport Aircraft
    • 10.2.4. UAVs and Drones
  • 10.3. Land-Based
    • 10.3.1. Armored Vehicles
    • 10.3.2. Artillery Systems
    • 10.3.3. Ground Support Systems
  • 10.4. Naval
    • 10.4.1. Warships and Submarines
    • 10.4.2. Unmanned Surface Vessels
    • 10.4.3. Unmanned Underwater Vehicles
  • 10.5. Space-Based
  • 10.6. Ground Stations and Command Centers

11. Global AI in Defense & Aerospace Market, by End-User

  • 11.1. Introduction
  • 11.2. Military
    • 11.2.1. Army
    • 11.2.2. Navy
    • 11.2.3. Air Force
    • 11.2.4. Space Force
  • 11.3. Defense Contractors and OEMs
  • 11.4. Intelligence Agencies
  • 11.5. Homeland Security
  • 11.6. Commercial Aerospace

12. AI in Defense & Aerospace Market, by Geography

  • 12.1. Introduction
  • 12.2. North America
    • 12.2.1. U.S.
    • 12.2.2. Canada
  • 12.3. Europe
    • 12.3.1. U.K.
    • 12.3.2. Germany
    • 12.3.3. France
    • 12.3.4. Italy
    • 12.3.5. Spain
    • 12.3.6. Rest of Europe
  • 12.4. Asia-Pacific
    • 12.4.1. China
    • 12.4.2. India
    • 12.4.3. Japan
    • 12.4.4. South Korea
    • 12.4.5. Australia
    • 12.4.6. Rest of Asia-Pacific
  • 12.5. Middle East & Africa
    • 12.5.1. Israel
    • 12.5.2. Saudi Arabia
    • 12.5.3. UAE
    • 12.5.4. South Africa
    • 12.5.5. Rest of Middle East & Africa
  • 12.6. Latin America
    • 12.6.1. Brazil
    • 12.6.2. Mexico
    • 12.6.3. Rest of Latin America

13. Competitive Landscape

  • 13.1. Introduction
  • 13.2. Market Share Analysis
  • 13.3. Competitive Benchmarking
  • 13.4. Key Strategic Developments

14. Company Profiles

  • 14.1. Lockheed Martin Corporation
  • 14.2. Northrop Grumman Corporation
  • 14.3. Raytheon Technologies Corporation
  • 14.4. The Boeing Company
  • 14.5. BAE Systems plc
  • 14.6. Palantir Technologies Inc.
  • 14.7. Anduril Industries Inc.
  • 14.8. Shield AI
  • 14.9. General Dynamics Corporation
  • 14.10. L3Harris Technologies Inc.
  • 14.11. Thales Group
  • 14.12. Leonardo S.p.A.
  • 14.13. CACI International Inc.
  • 14.14. Booz Allen Hamilton Inc.
  • 14.15. Saab AB
  • 14.16. Elbit Systems Ltd.
  • 14.17. Leidos Holdings Inc.
  • 14.18. SparkCognition Inc.
  • 14.19. C3.ai Inc.
  • 14.20. IBM Corporation
  • 14.21. Others

15. Appendix

  • 15.1. Questionnaire
  • 15.2. Available Customization