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市场调查报告书
商品编码
1936185

国防和航空航太领域人工智慧市场规模、占有率及预测：依应用（自主系统、预测性维护、智慧分析）、部署类型、技术、平台和最终用户划分 - 全球预测（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个工作天内

价格
简介目录

全球国防和航空航太领域人工智慧市场预计将从 2026 年的 42 亿美元成长到 2036 年的 428 亿美元，2026 年至 2036 年的复合年增长率 (CAGR) 为 26.4%。本报告详细分析了五个主要区域的国防和航空航太领域人工智慧市场，重点关注当前市场趋势、市场规模、最新发展以及到 2036 年的预测。透过广泛的二级和一级研究以及对市场现状的详细分析，我们分析了关键产业驱动因素、限制因素、机会和挑战的影响。市场成长的驱动因素包括自主系统的日益普及、对预测性维护需求的不断增长以及对高阶智慧分析日益增长的需求。

目录

第一章：引言

第二章：摘要整理

  • 主要发现
  • 市场规模与成长
  • 竞争格局

第三章：市场动态

  • 驱动因素
  • 限制因素
  • 机遇
  • 挑战

第四章：科技趋势

  • 人工智慧技术在国防领域的演进
  • 主要技术发展趋势
  • 专利分析

第五章：监理架构

  • 国际法与条约
  • 国家人工智慧防御策略
  • 道德准则

第六章 价值链分析

  • 组件供应商
  • 技术开发商
  • 系统整合商
  • 最终用户

第七章 全球国防与航空航太人工智慧市场（依应用领域划分）

  • 自主系统
    • 无人机 (UAV)
    • 无人地面车辆 (UGV)
    • 无人海上系统
    • 无人机群技术
  • 预测性维护
    • 飞机机队管理
    • 车辆和资产维护
    • 海军系统维护
  • 情报、监视和侦察 (ISR)
    • 影像与视讯分析
    • 信号情报 (SIGINT)
    • 地理空间情报 (GEOINT)
    • 多情报融合
  • 网路安全与威胁侦测
  • 指挥控制系统
  • 仿真与训练
  • 物流与供应链最佳化
  • 目标识别与追踪

第八章：全球国防与航空航太人工智慧市场（依部署类型划分）

  • 本地部署
    • 机密网路部署
    • 战术边缘运算
  • 云端部署
    • 安全军用云
    • 商业云端集成
  • 混合部署

第九章：全球国防与航空航太人工智慧市场:各技术

  • 机器学习与深度学习
    • 监督学习
    • 无监督学习
    • 强化学习
  • 电脑视觉
  • 自然语言处理
  • 机器人流程自动化
  • 专家系统

第十章：全球国防与航空航太人工智慧市场（依平台划分）

  • 空中平台
    • 战斗机
    • 军用直升机
    • 运输机
    • 无人机
  • 陆上平台
    • 装甲车辆
    • 火炮系统
    • 地面支援系统
  • 海军平台
    • 船舰和潜水艇
    • 无人水面航行器
    • 无人水下航行器
  • 天基
  • 地面站和指挥中心

第十一章 全球国防与航空航太人工智慧市场（依最终用户划分）

  • 军方
    • 陆军
    • 海军
    • 空军
    • 太空军
  • 国防承包商和原始设备製造商
  • 情报机构
  • 国土安全部
  • 民用航空航天

第十二章 国防与航空航太人工智慧市场（依地区划分）

  • 北美
    • 美国美国
    • 加拿大
  • 欧洲
    • 英国
    • 德国
    • 法国
    • 义大利
    • 西班牙 欧洲其他国家
  • 亚太地区
    • 中国
    • 印度
    • 日本
    • 韩国
    • 澳大利亚 亚太其他国家
  • 中东和非洲
    • 以色列
    • 沙乌地阿拉伯
    • 阿拉伯联合大公国
    • 南非 中东和非洲其他国家
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 拉丁美洲其他国家

第十三章 竞争格局

  • 市占率分析
  • 竞争对手标竿分析
  • 关键策略趋势

第十四章 公司简介

  • 洛克希德马丁公司
  • 诺斯罗普·格鲁曼公司
  • 雷神科技公司
  • 波音公司
  • 英国航空航天系统公司
  • 帕兰提尔科技公司
  • 安杜里尔工业公司
  • Shield AI
  • 通用动力公司
  • L3Harris技术公司
  • 泰雷兹集团
  • 莱昂纳多集团
  • CACI国际公司
  • 博思艾伦咨询公司
  • 萨博公司
  • 埃尔比特系统有限公司
  • 雷多斯控股公司
  • SparkCognition公司
  • C3.ai公司
  • IBM公司
  • 其他

第十五章 附录

简介目录
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