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市场调查报告书
商品编码
1574146

国防领域人工智慧 (AI) 市场 – 2024 年至 2029 年预测

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个工作天内

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简介目录

国防领域人工智慧市场规模预计将从 2024 年的 49.56 亿美元增至 2029 年的 185.58 亿美元，预测期内复合年增长率为 30.22%。

军事和国防是一个庞大的产业，人工智慧 (AI) 发挥着关键作用。人工智慧的进步将为国防技术发展带来新的机会。除瞭如上所述提高军事力量的有效性之外，在军事行动中使用人工智慧还可以增加赢得战争的机会。在全球范围内，许多国家正在采用人工智慧来改善军事行动并提高军事生产力。

由于政府继续将大部分国家预算用于国防，国防用途可能会占据很大一部分。因此，致力于国防技术的才华横溢的工程师和研究人员是市场的主要驱动力。借助深度学习计算机，人工智慧可以利用巨量资料来建构神经网路和人工网路。此外，由人工智慧驱动的机器人可以提高人类军事决策的准确性和有效性，并促进有人和无人系统之间各种类型的机器与人类的战斗。

此外，如果没有执行日常任务的各种国防舰艇、飞机和车辆收集的相关资料，人工智慧就无法前进。军方利用兵棋、数位模拟和物理防御演习来收集资料和训练人工智慧。未来几年，不断增长的国防费用可能会导致人工智慧在国防项目设计中的广泛应用，这可能会推动整体国防人工智慧市场的成长。

国防领域人工智慧的市场驱动因素：

  • 增加政府资金以增强和改善国防技术应用预计将推动人工智慧在国防市场的发展。

政府增加对人工智慧国防进步的资助可能会增加此类系统的开发和采用。世界各地出于国家安全考虑的应用进一步推动了对研发、人才获取、利基硬体和基础设施的投资。这些应用包括监视、目标识别、半自动车辆/无人机，以及最终的无辅助车辆、网路安全等。人工智慧也为卫星、夜视设备等军事监视设备和飞弹瞄准系统提供机载感测器。

此外，更多的资金将使我们能够引进顶尖的人工智慧人才来从事国防相关计划，加速创新，并帮助建立高效能运算丛集。机器学习、自然语言处理和电脑视觉的改进可能是最终的结果。例如，2024年5月，欧盟委员会透过欧洲防务基金向54个欧洲联合防务研发计划投资10.31亿欧元。这将加速多个关键创新重点领域的数十项技术的开发，包括网路、陆地、空中、海上和天基资产保护，包括化学、生物、放射性和核（CBRN）防御。

国防人工智慧市场的地理前景：

  • 预计亚太地区将在国防人工智慧市场中占据主要份额。

日本、印度和中国等亚太国家正在见证人工智慧市场的崛起，因为它们拥有许多人工智慧和科技公司的主要参与者。此外，该地区国家正在大力投资新的人工智慧和国防技术。因此，这两个领域的整合正在国防市场中以人工智慧的形式创造产品，并从政府和私人公司在新兴市场进一步开发和部署人工智慧技术的倡议中受益匪浅。

例如，2022 年 7 月，印度国防部长拉吉纳特辛格 (Rajnath Singh) 在新德里举行的首届人工智慧国防研讨会上发表讲话，新兴企业宣布75 家公司发布了新的人工智慧产品。产品领域包括AI平台自动化、自主/无人/机器人系统、基于区块链的自动化、指挥、控制、通讯和电脑、情报、监视和侦察（C4ISR）、网路安全、人类行为分析、智慧监控系统等。这些政府措施的增加可能有助于整体市场的扩张。

为什么要购买这份报告？

  • 富有洞察力的分析：获得涵盖关键和新兴地区的深入市场洞察，重点关注客户细分、政府政策和社会经济因素、消费者偏好、行业部门和其他子区隔。
  • 竞争格局：了解世界主要参与者所采取的策略策略，并了解采用正确策略渗透市场的潜力。
  • 市场驱动因素和未来趋势：探索动态因素和关键市场趋势以及它们将如何塑造未来市场开拓。
  • 可行的建议：利用洞察力做出策略决策，在动态环境中释放新的业务流和收益。
  • 面向广大受众：对于新兴企业、研究机构、顾问、中小型企业和大型企业有用且具有成本效益。

公司使用我们的报告的目的是什么？

产业与市场考量、机会评估、产品需求预测、打入市场策略、地理扩张、资本投资决策、法律规范与影响、新产品开拓、竞争影响

调查范围

  • 2022年至2029年历史资料与预测
  • 成长机会、挑战、供应链前景、法规结构、顾客行为、趋势分析
  • 竞争对手的市场状况、策略与市场占有率分析
  • 包括国家在内的细分市场和地区的收益成长和预测评估
  • 公司简介（策略、产品、财务资讯、主要动态等）

目录

第一章简介

  • 市场概况
  • 市场定义
  • 调查范围
  • 市场区隔
  • 货币
  • 先决条件
  • 基准年和预测年时间表
  • 相关人员的主要利益

第二章调查方法

  • 研究设计
  • 调查过程

第三章执行摘要

  • 主要发现

第四章市场动态

  • 市场驱动因素
  • 市场限制因素
  • 波特五力分析
  • 产业价值链分析
  • 分析师观点

第五章 国防领域人工智慧（AI）市场：依应用分类

  • 介绍
  • 情报和监视
  • 网路安全
  • 战斗训练
  • 侦察
  • 其他的

第六章 国防领域人工智慧（AI）市场：依平台分类

  • 介绍
  • 土地
  • 航太
  • 海军

第七章 国防领域人工智慧（AI）市场：依技术分类

  • 介绍
  • 机器学习
  • 电脑视觉
  • 自然语言处理
  • 其他的

第八章 国防领域人工智慧（AI）市场：按地区

  • 介绍
  • 北美洲
    • 按用途
    • 按平台
    • 依技术
    • 按国家/地区
  • 南美洲
    • 按用途
    • 按平台
    • 依技术
    • 按国家/地区
  • 欧洲
    • 按用途
    • 按平台
    • 依技术
    • 按国家/地区
  • 中东/非洲
    • 按用途
    • 按平台
    • 依技术
    • 按国家/地区
  • 亚太地区
    • 按用途
    • 按平台
    • 依技术
    • 按国家/地区

第九章竞争环境及分析

  • 主要企业及策略分析
  • 市场占有率分析
  • 合併、收购、协议和合作
  • 竞争对手仪表板

第十章 公司简介

  • 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
简介目录
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