航空業界における人工知能の市場規模、シェア、成長分析：コンポーネント別、テクノロジー別、用途別、地域別 - 産業予測 2025～2032年

航空業界における人工知能の世界市場規模は、2023年に46億米ドルと評価され、予測期間（2025-2032年）にCAGR 21.1％で成長し、2024年の55億7,000万米ドルから2032年には257億7,000万米ドルに成長する見通しです。

航空宇宙産業がビッグデータ分析やクラウドベースの技術をますます採用するようになるにつれ、航空分野における人工知能（AI）の世界市場は大幅な成長を遂げる見通しです。AIへの投資は航空業務を急速に変革し、空港や航空会社の顧客サービスを向上させています。運用コストの上昇と収益性の追求がこの技術統合を後押ししており、チケット予約用のAI搭載チャットボットのようなイノベーションを通じて旅行者の体験を向上させています。さらに、将来的にはAIと機械学習の予測メンテナンスや航空管制への応用が期待されています。進歩が続き、研究資金が拡大するにつれて、複雑な航空プロセスの合理化におけるAIの役割は、コンピュータビジョン、自然言語処理、時系列分析などの技術を採用することで、大幅に拡大すると予想されます。

目次

イントロダクション

• 調査の目的
• 調査範囲
• 定義

調査手法

• 情報調達
• 二次と一次データの方法
• 市場規模予測
• 市場の前提条件と制限

エグゼクティブサマリー

• 世界市場の見通し
• 供給と需要の動向分析
• セグメント別機会分析

市場力学と見通し

• 市場概要
• 市場規模
• 市場力学
  • 促進要因と機会
  • 抑制要因と課題
• ポーターの分析

主な市場の考察

• 重要成功要因
• 競合の程度
• 主な投資機会
• 市場エコシステム
• 市場の魅力指数（2024年）
• PESTEL分析
• マクロ経済指標
• バリューチェーン分析
• 価格分析
• 規制情勢
• ケーススタディ
• 技術の進歩

航空業界における人工知能市場規模：コンポーネント別& CAGR（2025-2032）

• 市場概要
• ハードウェア
• ソフトウェア
• サービス

航空業界における人工知能市場規模：テクノロジー別& CAGR（2025-2032）

• 市場概要
• 機械学習
• 自然言語処理
• コンテキスト認識コンピューティング
• コンピュータビジョン

航空業界における人工知能市場規模：用途別& CAGR（2025-2032）

• 市場概要
• バーチャルアシスタント
• スマートメンテナンス
• 製造業
• トレーニング
• 監視
• 飛行業務
• ダイナミック価格
• その他

航空業界における人工知能市場規模：地域別& CAGR（2025-2032）

• 北米
  • 米国
  • カナダ
• 欧州
  • ドイツ
  • スペイン
  • フランス
  • 英国
  • イタリア
  • その他欧州地域
• アジア太平洋地域
  • 中国
  • インド
  • 日本
  • 韓国
  • その他アジア太平洋地域
• ラテンアメリカ
  • ブラジル
  • その他ラテンアメリカ地域
• 中東・アフリカ
  • GCC諸国
  • 南アフリカ
  • その他中東・アフリカ

競合情報

• 上位5社の比較
• 主要企業の市場ポジショニング（2024年）
• 主な市場企業が採用した戦略
• 最近の市場動向
• 企業の市場シェア分析（2024年）
• 主要企業の企業プロファイル
  • 企業の詳細
  • 製品ポートフォリオ分析
  • 企業のセグメント別シェア分析
  • 収益の前年比比較（2022-2024）

主要企業プロファイル

• Honeywell Aerospace（United States）
• Embention Sistemas Inteligentes S.A（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 S.p.A.（Italy）
• Rolls-Royce Holdings（United Kingdom）
• Elbit Systems（Israel）
• L3Harris Technologies（United States）
• Kongsberg Gruppen（Norway）

結論と提言

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

Conclusion & Recommendations