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国防人工智能 (AI) 市场 - 预测 2023-2028
市场调查报告书
商品编码
1279624

国防人工智能 (AI) 市场 - 预测 2023-2028

Artificial Intelligence (AI) in Defense Market - Forecasts from 2023 to 2028
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

价格
简介目录

国防领域的人工智能 (AI) 市场预计将以 30.5% 的复合年增长率增长，从 2021 年的 22.53 亿美元市场规模增长到 2028 年的 145.19 亿美元。 人工智能（AI）在军事行动和衝突中发挥着重要作用，人工智能的进步预计将为国防技术的发展带来新的机遇。 随着军事效能的提高，在军事行动中使用人工智能可以增加赢得战争的机率。 许多国家正在采用人工智能来提高武装部队的效率。 在国家预算中，用于国防目的的预算正在增加，有才华的工程师和研究人员调查和开髮用于国防目的的技术将有助于市场增长。

深度学习计算机使用依赖大数据和人工神经网络的人工智能。 人工智能驱动的机器人还可以帮助人类做出准确有效的军事决策，并可以结合有人和无人系统进行各种类型的机器与人的战斗。 人工智能需要数据来发展，而这些信息是通过日常使用的各种防御舰船、飞机和车辆收集的。 兵棋、数字模拟、物理防御演习和训练都会为人工智能生成数据。 人工智能被用来开发防御计划，为团队提供竞争优势。

增加政府资金以增强和改善国防技术应用有利于国防领域的人工智能 (AI) 市场。

格勒诺布尔初创公司 Lynred 和其他九家公司已于 2023 年 1 月从欧盟欧洲国防基金 (EDF) 获得 1800 万欧元现金拨款，用于在欧洲境内建立下一代红外传感器供应链。 作为更大的 HEROIC（高性能读出集成电路）合作伙伴关係的一部分，Linred 将负责欧洲 10 个合作伙伴组成的联盟在未来四年内进行红外研究和开发。 设想的集成电路是可操作的并且能够检测热辐射的波长。 它还可以应用于为卫星、夜视设备和导弹瞄准系统等军事监视设备供电的传感器。

基于

平台，海军作战预计将增加人工智能在众多应用中的使用。

按平台划分，市场分为陆地、空中/太空和海军。 海军的一项研究认识到近年来人工智能可以为保持对日益强大的对手的主导地位带来好处。 海军还寻求利用人工智能为无人设备提供更高的自主阈值。 人工智能在海军中的用例包括无人机、无人水面舰艇和无人水下舰艇。 在空中，人工智能有能力汇集从各种传感器和卫星收集的所有数据并呈现结果。 因此，防御者将能够决定适当的行动方案。 AI还可以辅助无人机起降，独立完成作业，无需人工干预。 在陆地上，随着人工智能技术的发展，现在已经可以为潜艇增加探雷功能。 如果可以检查、识别物体并做出良好的判断，则可以更快地进行地雷探测。 配备人工智能的军用机器人可以自行执行操作和任务，拯救生命。

北美在国防领域的人工智能 (AI) 市场中占有很大份额。

按地区划分，国防人工智能 (AI) 市场分为北美、南美、欧洲、中东和非洲以及亚太地区。 北美，尤其是美国，由于各大人工智能和科技公司的存在，拥有广阔的人工智能市场。 此外，该地区国家正在斥巨资投资和开发国防技术以及新人工智能。 因此，国防领域的人工智能（AI）市场是两个领域融合而建立的细分市场，政府和私营公司努力创新人工智能技术并将其更多地应用于国防领域，正在赚取巨大利润。从

内容

第一章简介

  • 市场概览
  • 市场定义
  • 调查范围
  • 市场细分
  • 货币
  • 先决条件
  • 基准年和预测年时间表

第 2 章研究方法

  • 调查数据
  • 调查设计

第 3 章执行摘要

  • 调查要点

第四章市场动态

  • 市场驱动因素
  • 市场製约因素
  • 波特五力分析
  • 行业价值链分析

第 5 章：国防领域的人工智能 (AI) 市场：按应用分类

  • 简介
  • 间谍活动和监视
  • 网络安全
  • 战斗训练
  • 侦察
  • 其他

第 6 章：国防领域的人工智能 (AI) 市场：按平台划分

  • 简介
  • 土地
  • 机载和太空
  • 海军蓝

第 7 章：国防领域的人工智能 (AI) 市场：按技术分类

  • 简介
  • 机器学习
  • 计算机视觉
  • 自然语言处理
  • 其他

第 8 章：国防领域的人工智能 (AI) 市场：按地区划分

  • 简介
  • 北美
    • 美国
    • 加拿大
    • 墨西哥
  • 南美洲
    • 巴西
    • 阿根廷
    • 其他
  • 欧洲
    • 德国
    • 法国
    • 英国
    • 西班牙
    • 其他
  • 中东和非洲
    • 沙特阿拉伯
    • 阿拉伯联合酋长国
    • 以色列
    • 其他
  • 亚太地区
    • 中国
    • 日本
    • 印度
    • 韩国
    • 印度尼西亚
    • 台湾
    • 澳大利亚
    • 其他

第 9 章竞争格局与分析

  • 主要公司及战略分析
  • 新兴公司和市场盈利能力
  • 合併、收购、协议与合作
  • 供应商竞争力矩阵

第 10 章公司简介

  • IBM Corporation
  • Booz Allen Hamilton Inc.
  • Qualetics Data Machines Inc.
  • Raytheon Technologies Corporation
  • Boeing
  • Lockheed Martin Corporation
  • Thales Group
  • BAE Systems Plc
  • L3Harris Technologies, Inc
  • Northrop Grumman Corporation
简介目录
Product Code: KSI061614370

Artificial intelligence (AI) in defense market is expected to grow at a CAGR of 30.5% from a market size of US$2.253 billion in 2021 to reach US$14.519 billion in 2028. Artificial intelligence (AI) can be given a major role in military operations or conflict and advancements in AI are predicted to open up new opportunities for the development of defense technologies. Along with improving the effectiveness of military forces, utilizing artificial intelligence in military operations can increase the likelihood of winning a war. AI is being incorporated by many countries to improve the effectiveness of their armed forces. An increasing portion of the national budget is for defense objectives and qualified engineers and researchers investigating and developing the technologies that will be deployed for defense purposes will aid market growth.

Deep learning computers use AI, which relies on big data and artificial neural networks. AI-powered robots can also help humans make precise and effective military judgments and combine manned and unmanned systems for various types of machine-human combat. Data is necessary for AI to advance, and such information is gathered by the routine employment of various defense ships, aircraft, and vehicles. War games, digital simulations, and physical defense exercises and training can all produce data for AI. AI is being used to develop defensive programs that would provide the team with a competitive advantage.

Increased funding by governments to enhance and improve technological applications in defense has benefitted the AI in defense market.

The Grenoble startup Lynred and nine other companies received an €18 million cash allocation from the EU's European Defense Fund (EDF) in January 2023 to provide supply chains for next-generation infrared sensors within European borders. As part of the large HEROIC (high-performance read-out integrated circuits) partnership, Lynred is in charge of a 10-partner consortium across Europe that will conduct infrared R&D over the following four years. The envisioned integrated circuits are capable of operating and can detect thermal radiation's wavelengths. It can also be applied to the sensors that power military surveillance equipment like satellites, night vision devices, and missile targeting systems.

Market Developments

  • In January 2023, Hensoldt, a manufacturer of sensor systems, and 21strategies, a business that specializes in artificial intelligence, collaborated to develop the next generation of AI for defense systems. Hensoldt participated in the investment round for 21strategies as part of the partnership. The companies plan to focus on novel AI strategies like cognitive AI and make use of Hensoldt's current OSINT capabilities. The two businesses already collaborated on the German Armed Forces Digitization and Technology Research Center's GhostPlay project. This resulted in the creation of a high-performance, synthetic simulation environment referred to as Ghost, where AI-based decision-making processes were developed while interacting with opponents who had varying performance profiles.
  • In February 2023, General Atomics, a significant American energy and defense company, announced that it has begun three important initiatives in India in the areas of artificial intelligence, drones, and semiconductors. General Atomics Aeronautical Systems (GA-ASI) has partnered with Bharat Forge in the dynamic industry of aerostructure manufacturing and with 114ai, an Indian artificial intelligence (AI) startup, to create the next wave of AI technology. GA-ASI intends to collaborate with Bharat Forge in the crucial industry of manufacturing aerostructures.

Based on the platform, Naval operations are expected to increase the use of AI for numerous applications.

By platform, the market has been segmented as land, airborne and space, and naval. Naval research is acknowledging the benefits AI may offer to sustain control over increasingly powerful opponents in recent years. The Navy is also attempting to use AI to provide unmanned devices with enhanced thresholds of autonomy. Potential use cases for AI applications for the navy include unmanned aircraft, unmanned surface vessels, and unmanned underwater vessels. In air, Artificial intelligence has the capacity to compile all the data gathered from different sensors and satellites and present findings. Defense personnel may be further empowered to decide on a pertinent course of action as a result. AI can also help a drone take off and land and even complete the operation alone without any human intervention. While on land, as AI technology develops mine detection capabilities can also be added to submersible boats and other craft. Mine detection can be performed more quickly if the object is examined, identified, and the appropriate decision is taken. Artificially intelligent military robots can be able to carry out operations or tasks by themselves, saving human lives in the process.

North America holds a significant share of the AI in defense market.

Based on geography, the AI in defense market is segmented into North America, South America, Europe, the Middle East and Africa, and Asia Pacific. North America, especially the United States has an extensive AI market due to the presence of key AI and technological firms. Furthermore, the countries in the region also spend lucrative amounts on investment and development of new AI as well as defensive technologies. As such, AI in defense market is the resulting segment that the combined fields have established and has significantly benefitted from the government as well as private firms efforts to innovate AI technologies and employ more of them in the defense sector.

Market Segmentation

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
    • China
    • Japan
    • 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

2. RESEARCH METHODOLOGY

  • 2.1. Research Data
  • 2.2. Research Design

3. EXECUTIVE SUMMARY

  • 3.1. Research Highlights

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

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. USA
    • 8.2.2. Canada
    • 8.2.3. Mexico
  • 8.3. South America
    • 8.3.1. Brazil
    • 8.3.2. Argentina
    • 8.3.3. Others
  • 8.4. Europe
    • 8.4.1. Germany
    • 8.4.2. France
    • 8.4.3. United Kingdom
    • 8.4.4. Spain
    • 8.4.5. Others
  • 8.5. Middle East And Africa
    • 8.5.1. Saudi Arabia
    • 8.5.2. UAE
    • 8.5.3. Israel
    • 8.5.4. Others
  • 8.6. Asia Pacific
    • 8.6.1. China
    • 8.6.2. Japan
    • 8.6.3. India
    • 8.6.4. South Korea
    • 8.6.5. Indonesia
    • 8.6.6. Taiwan
    • 8.6.7. Australia
    • 8.6.8. Others

9. COMPETITIVE ENVIRONMENT AND ANALYSIS

  • 9.1. Major Players and Strategy Analysis
  • 9.2. Emerging Players and Market Lucrativeness
  • 9.3. Mergers, Acquisition, Agreements, and Collaborations
  • 9.4. Vendor Competitiveness Matrix

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 Group
  • 10.8. BAE Systems Plc
  • 10.9. L3Harris Technologies, Inc
  • 10.10. Northrop Grumman Corporation