航空人工智慧市場規模、佔有率及成長分析（按組件、技術、應用和地區分類）－產業預測（2026-2033）

預計到 2024 年，航空人工智慧市場價值將達到 55.7 億美元，到 2025 年將成長至 67.5 億美元，到 2033 年將成長至 312 億美元，在預測期（2026-2033 年）內複合年成長率為 21.1%。

巨量資料分析在航太領域的應用是推動人工智慧在航空領域發展的主要動力。對雲端技術的投資正在推動這一擴張，航空業正積極採用先進解決方案來改善服務和最佳化營運。不斷上漲的營運成本和對更高盈利的追求進一步促進了人工智慧技術的應用。隨著航空公司發展成為全球交通樞紐，提升客戶體驗已成為關鍵，從而推動了對人工智慧應用的需求。人工智慧聊天機器人在線上票務中的應用顯著增加。人工智慧和機器學習的未來發展有望增強電腦視覺、自然語言處理和時間序列分析在航空流程中的能力，並改善預測性維護和空中交通管理。

航空業人工智慧市場促進因素

航空業正日益利用人工智慧技術，透過自動化航班調度、航線最佳化和預測性維護等複雜流程來提升營運效率。人工智慧使航空公司能夠即時分析數據，不僅加快決策速度，還能顯著降低成本。採用人工智慧技術是一項策略性舉措，它能夠有效管理資源、最大限度地減少停機時間，並應對行業面臨的各種挑戰，在競爭激烈的市場環境中保持競爭力方面發揮關鍵作用。總而言之，人工智慧在航空領域的應用標誌著航空業正朝著更智慧、更有效率的營運模式轉型。

航空業人工智慧市場面臨的限制因素

由於需要管理大量敏感的乘客和營運數據，人工智慧在航空領域的應用面臨許多挑戰。資料外洩、未授權存取以及遵守隱私法規等問題，都可能阻礙機場和航空公司採用人工智慧技術的意願。為了克服這些挑戰並促進人工智慧解決方案的普及，必須實施強力的資料加密措施，確保遵守隱私法律，並制定透明的資料使用政策，以保障相關人員對資訊安全性和完整性的信心。解決這些問題對於推動人工智慧在航空領域的應用至關重要。

航空業人工智慧市場趨勢

人工智慧與物聯網 (IoT) 的融合正在革新航空市場，推動營運效率的提升，並引領智慧基礎設施建設的重大趨勢。透過即時監控飛機系統、行李處理和乘客互動，人工智慧利用物聯網產生的數據來預測維護計劃、最佳化燃油使用並提高整體營運效率。這種協同效應正在建構一個完全互聯的航空生態系統，為提升營運精度、減少潛在中斷以及推進自動化系統和智慧機場設計鋪平道路。因此，航空業正經歷著向自動化和提升客戶體驗的轉型，而人工智慧則被視為推動未來發展的關鍵基礎技術。

目錄

介紹

• 調查目標
• 調查範圍
• 定義

調查方法

• 資訊收集
• 二手資料和一手資料方法
• 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
• 細分市場機會分析

市場動態與展望

• 市場規模
• 市場動態
  • 促進因素和機遇
  • 限制與挑戰
• 波特分析

關鍵市場考察

• 關鍵成功因素
• 競爭程度
• 關鍵投資機會
• 市場生態系統
• 市場吸引力指數（2025）
• PESTEL 分析
• 總體經濟指標
• 價值鏈分析
• 定價分析
• 監管環境
• 案例研究
• 技術進步

全球航空人工智慧市場規模（按組成部分及複合年成長率分類）（2026-2033 年）

• 硬體
• 軟體
• 服務

全球航空人工智慧市場規模（按技術及複合年成長率分類）（2026-2033 年）

• 機器學習
• 自然語言處理
• 情境感知計算
• 電腦視覺

全球航空人工智慧市場規模（按應用及複合年成長率分類）（2026-2033 年）

• 虛擬助手
• 智慧維護
• 製造業
• 訓練
• 監測
• 飛行作業
• 動態定價
• 其他

全球航空人工智慧市場規模及複合年成長率（2026-2033）

• 北美洲
  • 美國
  • 加拿大
• 歐洲
  • 德國
  • 西班牙
  • 法國
  • 英國
  • 義大利
  • 其他歐洲地區
• 亞太地區
  • 中國
  • 印度
  • 日本
  • 韓國
  • 亞太其他地區
• 拉丁美洲
  • 巴西
  • 其他拉丁美洲地區
• 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

• 前五大公司對比
• 主要企業的市場定位（2025 年）
• 主要市場參與者所採取的策略
• 近期市場趨勢
• 公司市佔率分析（2025 年）
• 主要企業公司簡介
  • 公司詳情
  • 產品系列分析
  • 依業務板塊進行公司股票分析
  • 2023-2025年營收年比比較

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）

結論與建議

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