航空人工智慧市场规模、份额及成长分析（按组件、技术、应用和地区划分）－产业预测（2026-2033）

预计到 2024 年，航空人工智慧市场价值将达到 55.7 亿美元，到 2025 年将成长至 67.5 亿美元，到 2033 年将成长至 312 亿美元，在预测期（2026-2033 年）内复合年增长率为 21.1%。

巨量资料分析在航太领域的应用是推动人工智慧在航空领域发展的主要动力。对云端技术的投资正在推动这一扩张，航空业正积极采用先进解决方案来改善服务和优化营运。不断上涨的营运成本和对更高盈利的追求进一步促进了人工智慧技术的应用。随着航空公司发展成为全球交通枢纽，提升客户体验已成为关键，从而推动了对人工智慧应用的需求。人工智慧聊天机器人在线上票务中的应用显着增加。人工智慧和机器学习的未来发展有望增强电脑视觉、自然语言处理和时间序列分析在航空流程中的能力，并改善预测性维护和空中交通管理。

航空业人工智慧市场驱动因素

航空业正日益利用人工智慧技术，透过自动化航班调度、航线优化和预测性维护等复杂流程来提升营运效率。人工智慧使航空公司能够即时分析数据，不仅加快决策速度，还能显着降低成本。采用人工智慧技术是一项策略性倡议，它能够有效管理资源、最大限度地减少停机时间，并应对行业面临的各种挑战，在竞争激烈的市场环境中保持竞争力方面发挥关键作用。总而言之，人工智慧在航空领域的应用标誌着航空业正朝着更智慧、更有效率的营运模式转型。

航空业人工智慧市场面临的限制因素

由于需要管理大量敏感的乘客和营运数据，人工智慧在航空领域的应用面临许多挑战。资料外洩、未授权存取以及遵守隐私法规等问题，都可能阻碍机场和航空公司采用人工智慧技术的意愿。为了克服这些挑战并促进人工智慧解决方案的普及，必须实施强有力的资料加密措施，确保遵守隐私法律，并制定透明的资料使用政策，以保障相关人员对资讯安全性和完整性的信心。解决这些问题对于推动人工智慧在航空领域的应用至关重要。

航空业人工智慧市场趋势

人工智慧与物联网 (IoT) 的融合正在革新航空市场，推动营运效率的提升，并引领智慧基础设施建设的重大趋势。透过即时监控飞机系统、行李处理和乘客互动，人工智慧利用物联网产生的数据来预测维护计划、优化燃油使用并提高整体营运效率。这种协同效应正在建构一个完全互联的航空生态系统，为提升营运精度、减少潜在中断以及推进自动化系统和智慧机场设计铺平道路。因此，航空业正经历着向自动化和提升客户体验的转型，而人工智慧则被视为推动未来发展的关键基础技术。

目录

介绍

• 调查目标
• 调查范围
• 定义

调查方法

• 资讯收集
• 二手资料和一手资料方法
• 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
• 细分市场机会分析

市场动态与展望

• 市场规模
• 市场动态
  • 驱动因素和机会
  • 限制与挑战
• 波特分析

关键市场考察

• 关键成功因素
• 竞争程度
• 关键投资机会
• 市场生态系统
• 市场吸引力指数（2025）
• PESTEL 分析
• 总体经济指标
• 价值链分析
• 定价分析
• 监管环境
• 案例研究
• 技术进步

全球航空人工智慧市场规模（按组成部分及复合年增长率划分）（2026-2033 年）

• 硬体
• 软体
• 服务

全球航空人工智慧市场规模（按技术及复合年增长率划分）（2026-2033 年）

• 机器学习
• 自然语言处理
• 情境感知计算
• 电脑视觉

全球航空人工智慧市场规模（按应用及复合年增长率划分）（2026-2033 年）

• 虚拟助手
• 智慧维护
• 製造业
• 训练
• 监测
• 飞行作业
• 动态定价
• 其他的

全球航空人工智慧市场规模及复合年增长率（2026-2033）

• 北美洲
  • 美国
  • 加拿大
• 欧洲
  • 德国
  • 西班牙
  • 法国
  • 英国
  • 义大利
  • 其他欧洲地区
• 亚太地区
  • 中国
  • 印度
  • 日本
  • 韩国
  • 亚太其他地区
• 拉丁美洲
  • 巴西
  • 其他拉丁美洲地区
• 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

• 前五大公司对比
• 主要企业的市场定位（2025 年）
• 主要市场参与者所采取的策略
• 近期市场趋势
• 公司市占率分析（2025 年）
• 主要企业公司简介
  • 公司详情
  • 产品系列分析
  • 依业务板块进行公司股票分析
  • 2023-2025年营收年比比较

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）

结论与建议

Artificial Intelligence in Aviation Market size was valued at USD 5.57 Billion in 2024 and is poised to grow from USD 6.75 Billion in 2025 to USD 31.2 Billion by 2033, growing at a CAGR of 21.1% during the forecast period (2026-2033).

The integration of big data analytics into the aerospace sector is significantly driving the growth of artificial intelligence in aviation. Investment in cloud-based technologies is accelerating this expansion, as the industry increasingly adopts advanced solutions to enhance services and optimize operations. Rising operational costs and the pursuit of greater profitability further catalyze the incorporation of AI technologies. As airlines evolve into essential global transport hubs, enhancing customer experiences has become a critical focus, heightening the demand for AI applications. The usage of AI-powered chatbots for online ticketing is notably increasing. Future developments in AI and machine learning promise improvements in predictive maintenance and air traffic management, alongside enhanced functionalities in computer vision, natural language processing, and time series analysis across aviation processes.

Top-down and bottom-up approaches were used to estimate and validate the size of the 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.

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 Artificial Intelligence in Aviation Market

The aviation sector is increasingly leveraging artificial intelligence to improve operational efficiency through the automation of intricate processes such as flight scheduling, route optimization, and predictive maintenance. By utilizing AI, airlines can analyze data in real-time, which not only expedites decision-making but also results in significant cost savings. Embracing AI technologies is a strategic initiative that helps airlines stay competitive in a challenging market landscape, as these innovations facilitate effective resource management, minimize downtime, and address various industry challenges. Overall, the integration of AI in aviation signifies a transformative shift towards smarter, more efficient operations.

Restraints in the Artificial Intelligence in Aviation Market

The integration of artificial intelligence in the aviation industry faces significant challenges due to the need to manage large volumes of sensitive passenger and operational data. Concerns regarding data breaches, unauthorized access, and adherence to privacy regulations can hinder the willingness of airports and airlines to adopt AI technologies. To overcome these issues and facilitate the acceptance of AI solutions, it is crucial to implement robust data encryption practices, ensure compliance with privacy laws, and establish transparent data usage policies that reassure stakeholders about the security and integrity of their information. Addressing these factors is essential for advancing AI adoption in aviation.

Market Trends of the Artificial Intelligence in Aviation Market

The integration of Artificial Intelligence and the Internet of Things is revolutionizing the aviation market, driving a significant trend towards enhanced operational efficiency and smarter infrastructure. Through real-time monitoring of aircraft systems, baggage handling, and passenger interactions, AI leverages IoT-generated data to predict maintenance schedules, optimize fuel usage, and streamline overall operations. This synergy fosters a fully interconnected aviation ecosystem, enabling greater accuracy in operations, reducing potential disruptions, and paving the way for advancements in automated systems and intelligent airport designs. As a result, the aviation sector is witnessing a transformative shift towards automation and enhanced customer experiences, positioning AI as a critical enabler of future advancements.

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, 2025
• 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 (2026-2033)

• Market Overview
• Hardware
• Software
• Services

Global Artificial Intelligence in Aviation Market Size by Technology & CAGR (2026-2033)

• Market Overview
• Machine Learning
• Natural Language Processing
• Context Awareness Computing
• Computer Vision

Global Artificial Intelligence in Aviation Market Size by Application & CAGR (2026-2033)

• Market Overview
• Virtual Assistants
• Smart Maintenance
• Manufacturing
• Training
• Surveillance
• Flight Operations
• Dynamic Pricing
• Others

Global Artificial Intelligence in Aviation Market Size & CAGR (2026-2033)

• 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, 2025
• Strategies Adopted by Key Market Players
• Recent Developments in the Market
• Company Market Share Analysis, 2025
• Company Profiles of All Key Players
  • Company Details
  • Product Portfolio Analysis
  • Company's Segmental Share Analysis
  • Revenue Y-O-Y Comparison (2023-2025)

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

Conclusion & Recommendations