封面
市场调查报告书
商品编码
1638832

军事和国防市场机会、成长驱动因素、产业趋势分析和 2025 年至 2034 年预测中的人工智慧和分析

AI and Analytics in Military and Defense Market Opportunity, Growth Drivers, Industry Trend Analysis, and Forecast 2025 to 2034

出版日期: | 出版商: Global Market Insights Inc. | 英文 210 Pages | 商品交期: 2-3个工作天内

价格
简介目录

军事和国防市场中的全球人工智慧和分析在2024 年达到104 亿美元,预计2025 年至2034 年复合年增长率为13.4%。 这种扩张是由人工智慧驱动技术的日益采用所推动的,改变了现代军事行动透过提高效率、决策和运作能力。

无人驾驶车辆和海军平台等自主系统正成为防御战略的核心。这些系统由先进的人工智慧演算法提供支持,执行从监视和侦察到精确操作的任务,显着减少人类对高风险场景的参与。他们独立或协作操作的能力在耐力、适应性和任务执行方面具有优势。随着世界各地的军队优先考虑情报收集、后勤和战场支持,人工智慧的开发和整合到自主平台中仍然是一个关键焦点。

市场透过提供硬体、软体和服务来细分。其中,软体领域预计 2025-2034 年复合年增长率为 14%。人工智慧和分析软体透过预测性维护、即时态势感知和优化决策来增强军事能力。这些平台处理大量资料,提供可操作的见解,从而提高威胁侦测、情报分析和网路安全等营运效率。此外,自主系统的进步在很大程度上依赖人工智慧驱动的软体来支援无人驾驶车辆、无人机和机器人技术来执行关键任务。

市场范围
开始年份 2024年
预测年份 2025-2034
起始值 104 亿美元
预测值 358 亿美元
复合年增长率 13.4%

从应用来看,市场涵盖作战平台、后勤、监视、指挥系统、模拟、威胁侦测和资讯处理等各个领域。资讯处理领域在 2024资料以 22 亿美元的收入引领市场。该技术可实现即时决策,满足在延迟可能造成不利影响的战斗场景中立即响应的需求。

从地区来看,北美在 2024 年占据市场主导地位,占据 37.7% 的份额。将人工智慧融入军事系统(包括无人机和地面车辆)是该地区的主要推动力。这些技术增强了自主性,使系统能够快速做出决策并适应复杂的操作环境。这些进步在情报、监视和侦察方面特别有价值,可确保在广阔的区域内有效收集资料,同时最大限度地减少人为干预。

国防领域对人工智慧和分析的日益依赖凸显了该领域在塑造现代战争和作战战略方面的关键作用,凸显了其在全球军事格局中的重要性。

目录

第 1 章:方法与范围

第 2 章:执行摘要

第 3 章:产业洞察

  • 产业生态系统分析
    • 影响价值链的因素
    • 利润率分析
    • 干扰
    • 未来展望
    • 製造商
    • 经销商
  • 供应商格局
  • 利润率分析
  • 重要新闻和倡议
  • 监管环境
  • 衝击力
    • 成长动力
      • 战术无人机系统 (UAS) 的进步
      • 越来越多地使用人工智慧驱动的即时资料分析
      • 人工智慧驱动的自主系统的整合度不断提高
      • 采用人工智慧增强训练和模拟技术
      • 预测性维护和物流的进步
    • 产业陷阱与挑战
      • 资料安全和隐私问题
      • 与遗留系统的整合和互通性
  • 成长潜力分析
  • 波特的分析
  • PESTEL分析

第 4 章:竞争格局

  • 介绍
  • 公司市占率分析
  • 竞争定位矩阵
  • 战略展望矩阵

第 5 章:市场估计与预测:依产品划分,2021-2034 年

  • 主要趋势
  • 硬体
  • 软体
    • 本地部署
  • 服务
    • 部署与集成
    • 升级和维护
    • 软体支援
    • 其他的

第 6 章:市场估计与预测:按安装类型,2021-2034 年

  • 主要趋势
  • 新安装
  • 升级

第 7 章:市场估计与预测:按技术划分,2021-2034 年

  • 主要趋势
  • 机器学习
  • 自然语言处理
  • 上下文感知计算
  • 电脑视觉
  • 智慧虚拟代理(Iva)/虚拟代理
  • 其他的

第 8 章:市场估计与预测:按应用划分,2021-2034 年

  • 主要趋势
  • 作战平台
  • 网路安全
  • 物流运输
  • 监视和态势感知
  • 命令与控制
  • 战地医疗
  • 模拟与培训
  • 威胁侦测
  • 资讯处理
  • 其他的

第 9 章:市场估计与预测:按平台划分,2021-2034 年

  • 主要趋势
  • 空降兵
    • 战斗机
    • 特殊任务飞机
    • 直升机
    • 无人机 (UAV)
  • 土地
    • 军用战车(MFV)
    • 无人地面车辆 (UGV)
    • 武器系统
    • 总部及指挥中心
  • 海军
    • 船舶
    • 潜水艇
    • 无人海上车辆 (UMV)
  • 空间
    • 立方体卫星
    • 卫星

第 10 章:市场估计与预测:按地区,2021-2034 年

  • 主要趋势
  • 北美洲
    • 我们
    • 加拿大
  • 欧洲
    • 英国
    • 德国
    • 法国
    • 义大利
    • 西班牙
    • 俄罗斯
  • 亚太地区
    • 中国
    • 印度
    • 日本
    • 韩国
    • 澳洲
  • 拉丁美洲
    • 巴西
    • 墨西哥
  • MEA
    • 南非
    • 沙乌地阿拉伯
    • 阿联酋

第 11 章:公司简介

  • Avathon
  • BAE Systems
  • CACI International
  • Charles River Analytics
  • IBM
  • L3Harris Technologies
  • Leonardo
  • Lockheed Martin
  • Northrop Grumman
  • Nvidia
  • Rafael Advanced Defense Systems
  • Raytheon Technologies
  • Saab
  • Safran
  • Shield AI
  • Thales
简介目录
Product Code: 12260

The Global AI And Analytics In Military And Defense Market reached USD 10.4 billion in 2024 and is projected to grow at a CAGR of 13.4% from 2025 to 2034. This expansion is driven by the increasing adoption of AI-driven technologies, transforming modern military operations by enhancing efficiency, decision-making, and operational capabilities.

Autonomous systems, such as unmanned vehicles and naval platforms, are becoming central to defense strategies. These systems, powered by advanced AI algorithms, perform tasks ranging from surveillance and reconnaissance to precision operations, significantly reducing human involvement in high-risk scenarios. Their ability to operate independently or collaboratively offers advantages in endurance, adaptability, and mission execution. As militaries worldwide prioritize intelligence gathering, logistics, and battlefield support, the development and integration of AI into autonomous platforms remain a critical focus.

The market is segmented by offering hardware, software, and services. Among these, the software segment is anticipated to grow at a CAGR of 14% during 2025-2034. AI and analytics software enhance military capabilities through predictive maintenance, real-time situational awareness, and optimized decision-making. These platforms process vast amounts of data, delivering actionable insights that improve efficiency in operations such as threat detection, intelligence analysis, and cybersecurity. Additionally, advancements in autonomous systems rely heavily on AI-powered software to support unmanned vehicles, drones, and robotic technologies for mission-critical tasks.

Market Scope
Start Year2024
Forecast Year2025-2034
Start Value$10.4 Billion
Forecast Value$35.8 Billion
CAGR13.4%

In terms of application, the market covers various areas, including warfare platforms, logistics, surveillance, command systems, simulation, threat detection, and information processing. The information processing segment led the market with USD 2.2 billion in revenue in 2024. Innovations like edge computing are revolutionizing data analysis by decentralizing processing to the point of origin, such as sensors or unmanned platforms. This technology enables real-time decision-making, addressing the need for immediate responses during combat scenarios where delays can be detrimental.

Regionally, North America dominated the market in 2024, accounting for a 37.7% share. The integration of AI into military systems, including unmanned aerial and ground vehicles, is a major driver in the region. These technologies enhance autonomy, allowing systems to make rapid decisions and adapt to complex operational environments. Such advancements are particularly valuable in intelligence, surveillance, and reconnaissance, ensuring efficient data collection over expansive areas while minimizing human intervention.

This growing reliance on AI and analytics in defense highlights the sector's pivotal role in shaping modern warfare and operational strategies, underscoring its importance in the global military landscape.

Table of Contents

Chapter 1 Methodology & Scope

  • 1.1 Market scope & definitions
  • 1.2 Base estimates & calculations
  • 1.3 Forecast calculations
  • 1.4 Data sources
    • 1.4.1 Primary
    • 1.4.2 Secondary
      • 1.4.2.1 Paid sources
      • 1.4.2.2 Public sources

Chapter 2 Executive Summary

  • 2.1 Industry synopsis, 2021-2034

Chapter 3 Industry Insights

  • 3.1 Industry ecosystem analysis
    • 3.1.1 Factor affecting the value chain
    • 3.1.2 Profit margin analysis
    • 3.1.3 Disruptions
    • 3.1.4 Future outlook
    • 3.1.5 Manufacturers
    • 3.1.6 Distributors
  • 3.2 Supplier landscape
  • 3.3 Profit margin analysis
  • 3.4 Key news & initiatives
  • 3.5 Regulatory landscape
  • 3.6 Impact forces
    • 3.6.1 Growth drivers
      • 3.6.1.1 Advancements in tactical unmanned aircraft systems (UAS)
      • 3.6.1.2 Increasing use of AI-powered real-time data analytics
      • 3.6.1.3 Rising integration of AI-driven autonomous systems
      • 3.6.1.4 Adoption of AI-enhanced training and simulation technologies
      • 3.6.1.5 Advancements in predictive maintenance and logistics
    • 3.6.2 Industry pitfalls & challenges
      • 3.6.2.1 Data security and privacy concerns
      • 3.6.2.2 Integration and interoperability with legacy systems
  • 3.7 Growth potential analysis
  • 3.8 Porter's analysis
  • 3.9 PESTEL analysis

Chapter 4 Competitive Landscape, 2024

  • 4.1 Introduction
  • 4.2 Company market share analysis
  • 4.3 Competitive positioning matrix
  • 4.4 Strategic outlook matrix

Chapter 5 Market Estimates & Forecast, By Offering, 2021-2034 (USD Million)

  • 5.1 Key trends
  • 5.2 Hardware
  • 5.3 Software
    • 5.3.1 Cloud
    • 5.3.2 On-premise
  • 5.4 Services
    • 5.4.1 Deployment & integration
    • 5.4.2 Upgrades & maintenance
    • 5.4.3 Software support
    • 5.4.4 Others

Chapter 6 Market Estimates & Forecast, By Installation Type, 2021-2034 (USD Million)

  • 6.1 Key trends
  • 6.2 New Installation
  • 6.3 Upgradation

Chapter 7 Market Estimates & Forecast, By Technology, 2021-2034 (USD Million)

  • 7.1 Key trends
  • 7.2 Machine learning
  • 7.3 Natural language processing
  • 7.4 Context-aware computing
  • 7.5 Computer vision
  • 7.6 Intelligent virtual agent (Iva) /virtual agents
  • 7.7 Others

Chapter 8 Market Estimates & Forecast, By Application, 2021-2034 (USD Million)

  • 8.1 Key trends
  • 8.2 Warfare platforms
  • 8.3 Cybersecurity
  • 8.4 Logistics & transportation
  • 8.5 Surveillance & situational awareness
  • 8.6 Command & control
  • 8.7 Battlefield healthcare
  • 8.8 Simulation & training
  • 8.9 Threat detection
  • 8.10 Information processing
  • 8.11 Others

Chapter 9 Market Estimates & Forecast, By Platform, 2021-2034 (USD Million)

  • 9.1 Key trends
  • 9.2 Airborne
    • 9.2.1 Fighter aircraft
    • 9.2.2 Special mission aircraft
    • 9.2.3 Helicopters
    • 9.2.4 Unmanned aerial vehicles (UAV)
  • 9.3 Land
    • 9.3.1 Military fighting vehicles (MFV)
    • 9.3.2 Unmanned ground vehicles (UGV)
    • 9.3.3 Weapons systems
    • 9.3.4 Headquarter & command centers
  • 9.4 Naval
    • 9.4.1 Ships
    • 9.4.2 Submarines
    • 9.4.3 Unmanned marine vehicles (UMVs)
  • 9.5 Space
    • 9.5.1 CubeSats
    • 9.5.2 Satellites

Chapter 10 Market Estimates & Forecast, By Region, 2021-2034 (USD Million)

  • 10.1 Key trends
  • 10.2 North America
    • 10.2.1 U.S.
    • 10.2.2 Canada
  • 10.3 Europe
    • 10.3.1 UK
    • 10.3.2 Germany
    • 10.3.3 France
    • 10.3.4 Italy
    • 10.3.5 Spain
    • 10.3.6 Russia
  • 10.4 Asia Pacific
    • 10.4.1 China
    • 10.4.2 India
    • 10.4.3 Japan
    • 10.4.4 South Korea
    • 10.4.5 Australia
  • 10.5 Latin America
    • 10.5.1 Brazil
    • 10.5.2 Mexico
  • 10.6 MEA
    • 10.6.1 South Africa
    • 10.6.2 Saudi Arabia
    • 10.6.3 UAE

Chapter 11 Company Profiles

  • 11.1 Avathon
  • 11.2 BAE Systems
  • 11.3 CACI International
  • 11.4 Charles River Analytics
  • 11.5 IBM
  • 11.6 L3Harris Technologies
  • 11.7 Leonardo
  • 11.8 Lockheed Martin
  • 11.9 Northrop Grumman
  • 11.10 Nvidia
  • 11.11 Rafael Advanced Defense Systems
  • 11.12 Raytheon Technologies
  • 11.13 Saab
  • 11.14 Safran
  • 11.15 Shield AI
  • 11.16 Thales