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市場調查報告書
商品編碼
1666025
航空人工智慧市場規模、佔有率及成長分析（按組件、技術、應用和地區）- 2025-2032 年產業預測Artificial Intelligence in Aviation Market Size, Share, and Growth Analysis, By Component (Hardware, Software), By Technology (Machine Learning, Natural Language Processing), By Application, By Region - Industry Forecast 2025-2032 |
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2023 年全球航空人工智慧市場規模價值 46 億美元，預計將從 2024 年的 55.7 億美元成長到 2032 年的 257.7 億美元，預測期內（2025-2032 年）的複合年成長率為 21.1%。
隨著航太航太業擴大採用巨量資料分析和雲端基礎的技術，全球航空人工智慧（AI）市場預計將經歷顯著成長。對人工智慧的投資正在迅速改變航空業務，改善機場和航空公司的客戶服務。不斷上升的營運成本和對盈利的追求正在推動這種技術整合，以透過諸如用於機票預訂的人工智慧聊天機器人等創新來增強旅行者體驗。此外，未來預計人工智慧和機器學習將應用於預測性維護和空中交通管制。隨著技術不斷進步和研究資金不斷增加，隨著電腦視覺、自然語言處理和時間序列分析等技術的採用，人工智慧在簡化複雜航空流程方面的作用預計將大大擴展。
目錄
介紹
- 調查目的
- 研究範圍
- 定義
調查方法
- 資訊採購
- 次要和主要資料方法
- 市場規模預測
- 市場假設與限制
執行摘要
- 全球市場展望
- 供需趨勢分析
- 細分機會分析
市場動態及展望
- 市場概況
- 市場規模
- 市場動態
- 促進因素和機會
- 限制與挑戰
- 波特的分析
主要市場考察
- 關鍵成功因素
- 競爭程度
- 主要投資機會
- 市場生態系統
- 市場吸引力指數（2024 年）
- PESTEL 分析
- 總體經濟指標
- 價值鏈分析
- 定價分析
- 監管格局
- 案例研究
- 技術進步
航空業人工智慧市場規模（按組件和複合年成長率） (2025-2032)
- 市場概況
- 硬體
- 軟體
- 服務
航空人工智慧市場規模（依技術分類）及複合年成長率（2025-2032 年）
- 市場概況
- 機器學習
- 自然語言處理
- 情境感知計算
- 電腦視覺
航空業人工智慧市場規模（按應用和複合年成長率） (2025-2032)
- 市場概況
- 虛擬助手
- 智慧維護
- 製造業
- 訓練
- 監控
- 航班業務
- 動態定價
- 其他
航空人工智慧市場規模（按地區）及複合年成長率（2025-2032）
- 北美洲
- 美國
- 加拿大
- 歐洲
- 德國
- 西班牙
- 法國
- 英國
- 義大利
- 其他歐洲國家地區
- 亞太地區
- 中國
- 印度
- 日本
- 韓國
- 其他亞太地區
- 拉丁美洲
- 巴西
- 其他拉丁美洲國家
- 中東和非洲
- 海灣合作理事會國家
- 南非
- 其他中東和非洲地區
競爭資訊
- 前 5 家公司對比
- 主要企業市場定位（2024年）
- 主要市場參與者所採用的策略
- 近期市場趨勢
- 公司市場佔有率分析（2024 年）
- 主要企業簡介
- 公司詳細資訊
- 產品系列分析
- 公司分部佔有率分析
- 收益與前一年同期比較對比（2022-2024 年）
主要企業簡介
- Honeywell Aerospace（United States）
- Embention Sistemas Inteligentes SA（Spain）
- SIA Engineering Company（Singapore）
- ST Engineering Aerospace（Singapore）
- CAE Inc.（Canada）
- Dassault Systemes（France）
- Thales Group（France）
- BAE Systems（United Kingdom）
- Raytheon Technologies（United States）
- Northrop Grumman（United States）
- Lockheed Martin（United States）
- General Electric Aviation（United States）
- Safran（France）
- Leonardo SpA（Italy）
- Rolls-Royce Holdings（United Kingdom）
- Elbit Systems（Israel）
- L3Harris Technologies（United States）
- Kongsberg Gruppen（Norway）
結論和建議
Global Artificial Intelligence in Aviation Market size was valued at USD 4.6 billion in 2023 and is poised to grow from USD 5.57 billion in 2024 to USD 25.77 billion by 2032, growing at a CAGR of 21.1% during the forecast period (2025-2032).
The global artificial intelligence (AI) market in aviation is poised for substantial growth as the aerospace industry increasingly adopts big data analytics and cloud-based technologies. Investments in AI are rapidly transforming aviation operations and improving customer service at airports and airlines. Rising operational costs and the pursuit of profitability are driving this technology integration, which enhances traveler experiences through innovations like AI-powered chatbots for ticket bookings. Additionally, the future promises greater applications of AI and machine learning in predictive maintenance and air traffic control. As advancements continue and research funding escalates, AI's role in streamlining complex aviation processes-employing techniques like computer vision, natural language processing, and time series analysis-is expected to expand significantly.
Top-down and bottom-up approaches were used to estimate and validate the size of the Global Artificial Intelligence In Aviation market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.
Global Artificial Intelligence In Aviation Market Segments Analysis
Global Artificial Intelligence in Aviation Market is segmented by Component, Technology, Application and region. Based on Component, the market is segmented into Hardware, Software and Services. Based on Technology, the market is segmented into Machine Learning, Natural Language Processing, Context Awareness Computing and Computer Vision. Based on Application, the market is segmented into Virtual Assistants, Smart Maintenance, Manufacturing, Training, Surveillance, Flight Operations, Dynamic Pricing and Others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.
Driver of the Global Artificial Intelligence In Aviation Market
The Global Artificial Intelligence in Aviation market is driven by the industry's commitment to improving operational efficiency through automation of intricate processes, including flight scheduling, route optimization, and predictive maintenance. By leveraging AI, airlines can analyze data in real-time, which significantly speeds up decision-making and minimizes costs. The integration of artificial intelligence is a strategic initiative that helps airlines stay competitive in a rapidly evolving aviation landscape. These advanced technologies enable effective resource management, reduce operational downtime, and provide solutions to various industry challenges, fostering a more agile and responsive approach to aviation operations.
Restraints in the Global Artificial Intelligence In Aviation Market
The Global Artificial Intelligence in Aviation market faces notable constraints due to the necessity of processing vast amounts of sensitive passenger and operational data. This requirement heightens concerns regarding potential data breaches, unauthorized access, and adherence to privacy regulations, which may deter airlines and airports from adopting AI technologies. To mitigate these apprehensions and enhance the adoption rate of AI solutions in the sector, it is crucial to implement robust data encryption measures, ensure strict compliance with privacy laws, and establish transparent guidelines for data usage. Addressing these challenges is vital for fostering trust and encouraging the integration of AI in aviation.
Market Trends of the Global Artificial Intelligence In Aviation Market
The Global Artificial Intelligence in Aviation market is witnessing a significant surge, driven by the integration of AI and IoT technologies. This transformative convergence enhances real-time monitoring of aircraft systems, baggage management, and passenger services, creating an ecosystem marked by operational accuracy and efficiency. AI leverages data from IoT sensors to predict maintenance needs, optimize fuel utilization, and minimize disruptions. As airlines and airport authorities adopt these sophisticated solutions, the market is set for robust growth, paving the way for automated systems and the evolution of smart airports, significantly reshaping the future of air travel and operations.
Table of Contents
Introduction
- Objectives of the Study
- Scope of the Report
- Definitions
Research Methodology
- Information Procurement
- Secondary & Primary Data Methods
- Market Size Estimation
- Market Assumptions & Limitations
Executive Summary
- Global Market Outlook
- Supply & Demand Trend Analysis
- Segmental Opportunity Analysis
Market Dynamics & Outlook
- Market Overview
- Market Size
- Market Dynamics
- Drivers & Opportunities
- Restraints & Challenges
- Porters Analysis
- Competitive rivalry
- Threat of substitute
- Bargaining power of buyers
- Threat of new entrants
- Bargaining power of suppliers
Key Market Insights
- Key Success Factors
- Degree of Competition
- Top Investment Pockets
- Market Ecosystem
- Market Attractiveness Index, 2024
- PESTEL Analysis
- Macro-Economic Indicators
- Value Chain Analysis
- Pricing Analysis
- Regulatory Landscape
- Case Studies
- Technological Advancement
Global Artificial Intelligence in Aviation Market Size by Component & CAGR (2025-2032)
- Market Overview
- Hardware
- Software
- Services
Global Artificial Intelligence in Aviation Market Size by Technology & CAGR (2025-2032)
- Market Overview
- Machine Learning
- Natural Language Processing
- Context Awareness Computing
- Computer Vision
Global Artificial Intelligence in Aviation Market Size by Application & CAGR (2025-2032)
- Market Overview
- Virtual Assistants
- Smart Maintenance
- Manufacturing
- Training
- Surveillance
- Flight Operations
- Dynamic Pricing
- Others
Global Artificial Intelligence in Aviation Market Size & CAGR (2025-2032)
- North America (Component, Technology, Application)
- US
- Canada
- Europe (Component, Technology, Application)
- Germany
- Spain
- France
- UK
- Italy
- Rest of Europe
- Asia Pacific (Component, Technology, Application)
- China
- India
- Japan
- South Korea
- Rest of Asia-Pacific
- Latin America (Component, Technology, Application)
- Brazil
- Rest of Latin America
- Middle East & Africa (Component, Technology, Application)
- GCC Countries
- South Africa
- Rest of Middle East & Africa
Competitive Intelligence
- Top 5 Player Comparison
- Market Positioning of Key Players, 2024
- Strategies Adopted by Key Market Players
- Recent Developments in the Market
- Company Market Share Analysis, 2024
- Company Profiles of All Key Players
- Company Details
- Product Portfolio Analysis
- Company's Segmental Share Analysis
- Revenue Y-O-Y Comparison (2022-2024)
Key Company Profiles
- Honeywell Aerospace (United States)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
- Embention Sistemas Inteligentes S.A (Spain)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
- SIA Engineering Company (Singapore)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
- ST Engineering Aerospace (Singapore)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
- CAE Inc. (Canada)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
- Dassault Systemes (France)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
- Thales Group (France)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
- BAE Systems (United Kingdom)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
- Raytheon Technologies (United States)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
- Northrop Grumman (United States)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
- Lockheed Martin (United States)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
- General Electric Aviation (United States)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
- Safran (France)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
- Leonardo S.p.A. (Italy)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
- Rolls-Royce Holdings (United Kingdom)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
- Elbit Systems (Israel)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
- L3Harris Technologies (United States)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
- Kongsberg Gruppen (Norway)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
