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國防人工智能 (AI) 市場 - 預測 2023-2028
市場調查報告書
商品編碼
1279624

國防人工智能 (AI) 市場 - 預測 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個工作天內

價格
簡介目錄

國防領域的人工智能 (AI) 市場預計將以 30.5% 的複合年增長率增長，從 2021 年的 22.53 億美元市場規模增長到 2028 年的 145.19 億美元。 人工智能（AI）在軍事行動和衝突中發揮著重要作用，人工智能的進步預計將為國防技術的發展帶來新的機遇。 隨著軍事效能的提高，在軍事行動中使用人工智能可以增加贏得戰爭的機率。 許多國家正在採用人工智能來提高武裝部隊的效率。 在國家預算中，用於國防目的的預算正在增加，有才華的工程師和研究人員調查和開髮用於國防目的的技術將有助於市場增長。

深度學習計算機使用依賴大數據和人工神經網絡的人工智能。 人工智能驅動的機器人還可以幫助人類做出準確有效的軍事決策，並可以結合有人和無人系統進行各種類型的機器與人的戰鬥。 人工智能需要數據來發展，而這些信息是通過日常使用的各種防禦艦船、飛機和車輛收集的。 兵棋、數字模擬、物理防禦演習和訓練都會為人工智能生成數據。 人工智能被用來開發防禦計劃，為團隊提供競爭優勢。

增加政府資金以增強和改善國防技術應用有利於國防領域的人工智能 (AI) 市場。

格勒諾布爾初創公司 Lynred 和其他九家公司已於 2023 年 1 月從歐盟歐洲國防基金 (EDF) 獲得 1800 萬歐元現金撥款，用於在歐洲境內建立下一代紅外傳感器供應鏈。 作為更大的 HEROIC（高性能讀出集成電路）合作夥伴關係的一部分，Linred 將負責歐洲 10 個合作夥伴組成的聯盟在未來四年內進行紅外研究和開發。 設想的集成電路是可操作的並且能夠檢測熱輻射的波長。 它還可以應用於為衛星、夜視設備和導彈瞄準系統等軍事監視設備供電的傳感器。

基於

平台，海軍作戰預計將增加人工智能在眾多應用中的使用。

按平台劃分，市場分為陸地、空中/太空和海軍。 海軍的一項研究認識到近年來人工智能可以為保持對日益強大的對手的主導地位帶來好處。 海軍還尋求利用人工智能為無人設備提供更高的自主閾值。 人工智能在海軍中的用例包括無人機、無人水面艦艇和無人水下艦艇。 在空中，人工智能有能力匯集從各種傳感器和衛星收集的所有數據並呈現結果。 因此，防御者將能夠決定適當的行動方案。 AI還可以輔助無人機起降，獨立完成作業，無需人工干預。 在陸地上，隨著人工智能技術的發展，現在已經可以為潛艇增加探雷功能。 如果可以檢查、識別物體並做出良好的判斷，則可以更快地進行地雷探測。 配備人工智能的軍用機器人可以自行執行操作和任務，拯救生命。

北美在國防領域的人工智能 (AI) 市場中佔有很大份額。

按地區劃分，國防人工智能 (AI) 市場分為北美、南美、歐洲、中東和非洲以及亞太地區。 北美，尤其是美國，由於各大人工智能和科技公司的存在，擁有廣闊的人工智能市場。 此外，該地區國家正在斥巨資投資和開發國防技術以及新人工智能。 因此，國防領域的人工智能（AI）市場是兩個領域融合而建立的細分市場，政府和私營公司努力創新人工智能技術並將其更多地應用於國防領域，正在賺取巨大利潤。從

內容

第一章簡介

  • 市場概覽
  • 市場定義
  • 調查範圍
  • 市場細分
  • 貨幣
  • 先決條件
  • 基準年和預測年時間表

第 2 章研究方法

  • 調查數據
  • 調查設計

第 3 章執行摘要

  • 調查要點

第四章市場動態

  • 市場驅動因素
  • 市場製約因素
  • 波特五力分析
  • 行業價值鏈分析

第 5 章：國防領域的人工智能 (AI) 市場：按應用分類

  • 簡介
  • 間諜活動和監視
  • 網絡安全
  • 戰鬥訓練
  • 偵察
  • 其他

第 6 章：國防領域的人工智能 (AI) 市場：按平台劃分

  • 簡介
  • 土地
  • 機載和太空
  • 海軍藍

第 7 章：國防領域的人工智能 (AI) 市場：按技術分類

  • 簡介
  • 機器學習
  • 計算機視覺
  • 自然語言處理
  • 其他

第 8 章：國防領域的人工智能 (AI) 市場：按地區劃分

  • 簡介
  • 北美
    • 美國
    • 加拿大
    • 墨西哥
  • 南美洲
    • 巴西
    • 阿根廷
    • 其他
  • 歐洲
    • 德國
    • 法國
    • 英國
    • 西班牙
    • 其他
  • 中東和非洲
    • 沙特阿拉伯
    • 阿拉伯聯合酋長國
    • 以色列
    • 其他
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 韓國
    • 印度尼西亞
    • 台灣
    • 澳大利亞
    • 其他

第 9 章競爭格局與分析

  • 主要公司及戰略分析
  • 新興公司和市場盈利能力
  • 合併、收購、協議與合作
  • 供應商競爭力矩陣

第 10 章公司簡介

  • 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
簡介目錄
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