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市場調查報告書
商品編碼
1638832
軍事和國防市場機會、成長促進因素、產業趨勢分析和 2025 年至 2034 年預測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 |
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軍事和國防市場中的全球人工智慧和分析在2024 年達到104 億美元，預計2025 年至2034 年複合年成長率為13.4%。 這種擴張是由人工智慧驅動技術的日益採用所推動的，改變了現代軍事行動透過提高效率、決策和運作能力。
無人駕駛車輛和海軍平台等自主系統正成為防禦戰略的核心。這些系統由先進的人工智慧演算法提供支持，執行從監視和偵察到精確操作的任務，顯著減少人類對高風險場景的參與。他們獨立或協作操作的能力在耐力、適應性和任務執行方面具有優勢。隨著世界各地的軍隊優先考慮情報收集、後勤和戰場支持，人工智慧的開發和整合到自主平台中仍然是一個關鍵焦點。
市場透過提供硬體、軟體和服務來細分。其中，軟體領域預計 2025-2034 年複合年成長率為 14%。人工智慧和分析軟體透過預測性維護、即時態勢感知和最佳化決策來增強軍事能力。這些平台處理大量資料，提供可操作的見解，從而提高威脅偵測、情報分析和網路安全等營運效率。此外，自主系統的進步在很大程度上依賴人工智慧驅動的軟體來支援無人駕駛車輛、無人機和機器人技術來執行關鍵任務。
| 市場範圍 | |
|---|---|
| 開始年份 | 2024年 |
| 預測年份 | 2025-2034 |
| 起始值 | 104 億美元 |
| 預測值 | 358 億美元 |
| 複合年成長率 | 13.4% |
從應用來看，市場涵蓋作戰平台、後勤、監視、指揮系統、模擬、威脅偵測和資訊處理等各個領域。資訊處理領域在 2024資料以 22 億美元的收入引領市場。該技術可實現即時決策，滿足在延遲可能造成不利影響的戰鬥場景中立即響應的需求。
從地區來看，北美在 2024 年佔據市場主導地位，佔據 37.7% 的佔有率。將人工智慧融入軍事系統（包括無人機和地面車輛）是該地區的主要推動力。這些技術增強了自主性，使系統能夠快速做出決策並適應複雜的操作環境。這些進步在情報、監視和偵察方面特別有價值，可確保在廣闊的區域內有效收集資料，同時最大限度地減少人為干預。
國防領域對人工智慧和分析的日益依賴凸顯了該領域在塑造現代戰爭和作戰戰略方面的關鍵作用，凸顯了其在全球軍事格局中的重要性。
目錄
第 1 章：方法與範圍
第 2 章：執行摘要
第 3 章：產業洞察
- 產業生態系統分析
- 影響價值鏈的因素
- 利潤率分析
- 干擾
- 未來展望
- 製造商
- 經銷商
- 供應商格局
- 利潤率分析
- 重要新聞和舉措
- 監管環境
- 衝擊力
- 成長動力
- 戰術無人機系統 (UAS) 的進步
- 擴大使用人工智慧驅動的即時資料分析
- 人工智慧驅動的自主系統的整合度不斷提高
- 採用人工智慧增強訓練和模擬技術
- 預測性維護和物流的進步
- 產業陷阱與挑戰
- 資料安全和隱私問題
- 與遺留系統的整合和互通性
- 成長動力
- 成長潛力分析
- 波特的分析
- PESTEL分析
第 4 章：競爭格局
- 介紹
- 公司市佔率分析
- 競爭定位矩陣
- 戰略展望矩陣
第 5 章：市場估計與預測：依產品分類，2021-2034 年
- 主要趨勢
- 硬體
- 軟體
- 雲
- 本地部署
- 服務
- 部署與整合
- 升級和維護
- 軟體支援
- 其他
第 6 章：市場估計與預測：按安裝類型，2021-2034 年
- 主要趨勢
- 新安裝
- 升級
第 7 章：市場估計與預測：按技術分類，2021-2034 年
- 主要趨勢
- 機器學習
- 自然語言處理
- 上下文感知計算
- 電腦視覺
- 智慧虛擬代理（Iva）/虛擬代理
- 其他
第 8 章：市場估計與預測：按應用分類，2021-2034 年
- 主要趨勢
- 作戰平台
- 網路安全
- 物流運輸
- 監視和態勢感知
- 命令與控制
- 戰地醫療
- 模擬與培訓
- 威脅偵測
- 資訊處理
- 其他
第 9 章：市場估計與預測：按平台分類，2021-2034 年
- 主要趨勢
- 空降兵
- 戰鬥機
- 特殊任務飛機
- 直升機
- 無人機 (UAV)
- 土地
- 軍用戰車（MFV）
- 無人地面車輛 (UGV)
- 武器系統
- 總部及指揮中心
- 海軍
- 船舶
- 潛水艇
- 無人海上車輛 (UMV)
- 空間
- 立方體衛星
- 衛星
第 10 章：市場估計與預測：按地區，2021-2034 年
- 主要趨勢
- 北美洲
- 美國
- 加拿大
- 歐洲
- 英國
- 德國
- 法國
- 義大利
- 西班牙
- 俄羅斯
- 亞太地區
- 中國
- 印度
- 日本
- 韓國
- 澳洲
- 拉丁美洲
- 巴西
- 墨西哥
- MEA
- 南非
- 沙烏地阿拉伯
- 阿拉伯聯合大公國
第 11 章：公司簡介
- 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
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 Year | 2024 |
| Forecast Year | 2025-2034 |
| Start Value | $10.4 Billion |
| Forecast Value | $35.8 Billion |
| CAGR | 13.4% |
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
- 3.6.1 Growth drivers
- 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
