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市场调查报告书
商品编码
1666025
航空人工智慧市场规模、份额及成长分析（按组件、技术、应用和地区）- 2025-2032 年产业预测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场规模价值 46 亿美元，预计将从 2024 年的 55.7 亿美元成长到 2032 年的 257.7 亿美元，预测期内（2025-2032 年）的复合年增长率为 21.1%。
随着航太航太业越来越多地采用巨量资料分析和云端基础的技术，全球航空人工智慧（AI）市场预计将经历显着成长。对人工智慧的投资正在迅速改变航空业务，改善机场和航空公司的客户服务。不断上升的营运成本和对盈利的追求正在推动这种技术整合，以透过诸如用于机票预订的人工智慧聊天机器人等创新来增强旅行者体验。此外，未来预计人工智慧和机器学习将应用于预测性维护和空中交通管制。随着技术不断进步和研究资金不断增加，随着电脑视觉、自然语言处理和时间序列分析等技术的采用，人工智慧在简化复杂航空流程方面的作用预计将大大扩展。
目录
介绍
- 调查目的
- 研究范围
- 定义
调查方法
- 资讯采购
- 次要和主要资料方法
- 市场规模预测
- 市场假设与限制
执行摘要
- 全球市场展望
- 供需趋势分析
- 细分机会分析
市场动态及展望
- 市场概况
- 市场规模
- 市场动态
- 驱动因素和机会
- 限制与挑战
- 波特的分析
主要市场考察
- 关键成功因素
- 竞争程度
- 主要投资机会
- 市场生态系统
- 市场吸引力指数（2024 年）
- PESTEL 分析
- 总体经济指标
- 价值链分析
- 定价分析
- 监管格局
- 案例研究
- 技术进步
航空业人工智慧市场规模（按组件和复合年增长率） (2025-2032)
- 市场概况
- 硬体
- 软体
- 服务
航空人工智慧市场规模（依技术分类）及复合年增长率（2025-2032 年）
- 市场概况
- 机器学习
- 自然语言处理
- 情境感知计算
- 电脑视觉
航空业人工智慧市场规模（按应用和复合年增长率） (2025-2032)
- 市场概况
- 虚拟助手
- 智慧维护
- 製造业
- 训练
- 监控
- 航班业务
- 动态定价
- 其他的
航空人工智慧市场规模（按地区）及复合年增长率（2025-2032）
- 北美洲
- 美国
- 加拿大
- 欧洲
- 德国
- 西班牙
- 法国
- 英国
- 义大利
- 其他欧洲国家地区
- 亚太地区
- 中国
- 印度
- 日本
- 韩国
- 其他亚太地区
- 拉丁美洲
- 巴西
- 其他拉丁美洲国家
- 中东和非洲
- 海湾合作委员会国家
- 南非
- 其他中东和非洲地区
竞争资讯
- 前 5 家公司对比
- 主要企业市场定位（2024年）
- 主要市场参与者所采用的策略
- 近期市场趋势
- 公司市场占有率分析（2024 年）
- 主要企业简介
- 公司详细信息
- 产品系列分析
- 公司分部份额分析
- 收益与前一年同期比较对比（2022-2024 年）
主要企业简介
- 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）
结论和建议
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
