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航空和航太人工智能

市場調查報告書

商品編碼

1782456

全球航空人工智慧市場研究報告－產業分析、規模、佔有率、成長、趨勢及2025年至2033年預測

Global Artificial Intelligence in Aviation Market Research Report- Industry Analysis, Size, Share, Growth, Trends and Forecast 2025 to 2033

出版日期: 2025年08月01日 | 出版商:

Value Market Research | 英文 141 Pages | 商品交期: 最快1-2個工作天內

價格

簡介目錄圖表

全球航空人工智慧市場規模預計將從 2024 年的 64.7 億美元成長到 2033 年的 2,006 億美元，在 2026 年至 2033 年的預測期內，年複合成長率(CAGR) 高達 46.45%。

隨著航空業日益採用先進技術來提升營運效率和安全性，人工智慧市場正在快速成長。人工智慧在航空領域的應用範圍廣泛，從預測性維護和飛行最佳化，到提升乘客體驗和空中交通管理。隨著航空公司和航空公司尋求降低成本並提升服務質量，對人工智慧驅動解決方案的需求預計將激增。在航空旅行需求不斷成長以及永續實踐需求日益成長的背景下，這一趨勢尤其重要，這使得人工智慧在航空市場的擴張勢頭迅速。

此外，人工智慧技術的融合正在改變航空營運的各個方面。基於人工智慧演算法的預測性維護使航空公司能夠預測設備故障並主動安排維護，從而減少停機時間和營運中斷。此外，人工智慧驅動的分析可以最佳化航線和燃油消耗，有助於節省成本並實現環境永續性。隨著這些技術的不斷發展，它們將在塑造航空業的未來、提高整個產業的安全性和效率方面發揮關鍵作用。

此外，對乘客體驗的日益重視也影響著航空業人工智慧市場的發展。航空公司擴大利用人工智慧來提供個人化服務、簡化報到流程並提升飛行體驗。聊天機器人和虛擬助理正在部署，為旅客提供即時支援和訊息，從而提高客戶滿意度。隨著航空業持續以乘客為中心，對能夠提升整體旅行體驗的人工智慧解決方案的需求將推動市場成長。因此，在技術進步、營運效率需求以及提升乘客體驗的驅動下，航空業人工智慧市場可望大幅擴張。

我們的報告經過精心設計，旨在為客戶提供關於各個行業和市場的全面且切實可行的洞察。每份報告都包含幾個關鍵部分，以確保客戶全面了解市場格局：

市場概覽：市場的詳細介紹，包括定義、分類和行業現狀概述。

市場動態：深入分析影響市場成長的關鍵促進因素、限制因素、機會與挑戰。本部分探討技術進步、監管變化和新興趨勢等因素。

細分分析：根據產品類型、應用、最終用戶和地理位置等標準，將市場細分為不同的細分市場。此分析重點在於突出每個細分市場的表現和潛力。

競爭格局：對主要市場參與者的全面評估，包括其市場佔有率、產品組合、策略舉措和財務表現。本部分深入分析了競爭態勢以及領先公司採用的關鍵策略。

市場預測：根據歷史資料和當前市場狀況，對特定時期的市場規模和成長趨勢進行預測。這包括定量分析和圖形表示，以說明未來的市場發展軌跡。

區域分析：評估不同地理區域的市場表現，確定關鍵市場和區域趨勢。這有助於了解區域市場動態和機會。

新興趨勢與機會：識別當前及新興市場趨勢、技術創新以及潛在投資領域。本部分將深入探討未來市場發展與成長前景。

區域展望
介紹
北美銷售分析
- 概述、歷史和預測數據銷售分析
- 北美各細分市場銷售分析
- 北美各國銷售分析
- 美國銷售分析
- 加拿大銷售分析
- 墨西哥銷售分析
歐洲銷售分析
- 概述、歷史和預測數據銷售分析
- 歐洲各細分市場銷售分析
- 歐洲各國銷售分析
- 英國銷售分析
- 法國銷售分析
- 德國銷售分析
- 義大利銷售分析
- 俄羅斯銷售分析
- 歐洲其他地區銷售分析
亞太地區銷售分析
- 概述、歷史和預測數據銷售分析
- 亞太地區分部銷售分析
- 亞太地區國家銷售分析
- 中國銷售分析
- 印度銷售分析
- 日本銷售分析
- 韓國銷售分析
- 澳洲銷售分析
- 東南亞銷售分析
- 亞太地區其他地區銷售分析
拉丁美洲銷售分析
- 概述、歷史和預測數據銷售分析
- 拉丁美洲各細分市場銷售分析
- 拉丁美洲各國銷售分析
- 巴西銷售分析
- 阿根廷銷售分析
- 秘魯銷售分析
- 智利銷售分析
- 拉丁美洲其他地區銷售分析
中東和非洲銷售分析
- 概述、歷史和預測數據銷售分析
- 中東和非洲分部銷售分析
- 中東和非洲國家銷售分析
- 沙烏地阿拉伯銷售分析
- 阿拉伯聯合大公國銷售分析
- 以色列銷售分析
- 南非銷售分析
- 中東和非洲其他地區銷售分析

第9章：航空公司人工智慧的競爭格局

人工智慧在航空市場競爭中的作用
合作/協作/協議
併購
新產品發布
其他發展

第10章：公司簡介

頂級公司市佔率分析
市場集中度
IBM

公司概況
公司收入
產品
最新動態

Microsoft

公司概況
公司收入
產品
最新動態

Amazon Web Services Inc.

公司概況
公司收入
產品
最新動態

Airbus SAS

公司概況
公司收入
產品
最新動態

Xilinx

公司概況
公司收入
產品
最新動態

NVIDIA Corporation

公司概況
公司收入
產品
最新動態

Intel Corporation

公司概況
公司收入
產品
最新動態

General Electric

公司概況
公司收入
產品
最新動態

Micron Technology Inc.

公司概況
公司收入
產品
最新動態

Lockheed Martin Corporation

公司概況
公司收入
產品
最新動態

Samsung Electronics

公司概況
公司收入
產品
最新動態

Thales Group

公司概況
公司收入
產品
最新動態

MindTitan

公司概況
公司收入
產品
最新動態

Mitsubishi Electric Corporation

公司概況
公司收入
產品
最新動態

注意 - 在公司簡介中，財務細節和最新發展取決於可用性，對於私人公司，可能不予涵蓋

簡介目錄圖表

Product Code: VMR11218989

Global Artificial Intelligence in Aviation Market size is anticipated to grow from USD 6.47 Billion in 2024 to USD 200.6 Billion by 2033, showcasing a robust Compound Annual Growth Rate (CAGR) of 46.45% during the forecast period of 2026 to 2033.

The artificial intelligence in aviation market is experiencing rapid growth as the industry increasingly embraces advanced technologies to enhance operational efficiency and safety. AI applications in aviation range from predictive maintenance and flight optimization to passenger experience enhancement and air traffic management. As airlines and aviation companies seek to reduce costs and improve service quality, the demand for AI-driven solutions is expected to surge. This trend is particularly relevant in the context of increasing air travel demand and the need for sustainable practices, positioning the AI in aviation market for substantial expansion.

Moreover, the integration of AI technologies is transforming various aspects of aviation operations. Predictive maintenance powered by AI algorithms enables airlines to anticipate equipment failures and schedule maintenance proactively, reducing downtime and operational disruptions. Additionally, AI-driven analytics can optimize flight routes and fuel consumption, contributing to cost savings and environmental sustainability. As these technologies continue to evolve, they will play a crucial role in shaping the future of aviation, enhancing safety and efficiency across the industry.

Furthermore, the growing emphasis on passenger experience is influencing the AI in aviation market. Airlines are increasingly leveraging AI to personalize services, streamline check-in processes, and enhance in-flight experiences. Chatbots and virtual assistants are being deployed to provide real-time support and information to travelers, improving customer satisfaction. As the aviation industry continues to prioritize passenger-centric approaches, the demand for AI solutions that enhance the overall travel experience will drive market growth. The artificial intelligence in aviation market is thus positioned for significant expansion, driven by technological advancements, operational efficiency needs, and a commitment to enhancing passenger experiences.

Our reports are meticulously crafted to provide clients with comprehensive and actionable insights into various industries and markets. Each report encompasses several critical components to ensure a thorough understanding of the market landscape:

Market Overview: A detailed introduction to the market, including definitions, classifications, and an overview of the industry's current state.

Market Dynamics: In-depth analysis of key drivers, restraints, opportunities, and challenges influencing market growth. This section examines factors such as technological advancements, regulatory changes, and emerging trends.

Segmentation Analysis: Breakdown of the market into distinct segments based on criteria like product type, application, end-user, and geography. This analysis highlights the performance and potential of each segment.

Competitive Landscape: Comprehensive assessment of major market players, including their market share, product portfolio, strategic initiatives, and financial performance. This section provides insights into the competitive dynamics and key strategies adopted by leading companies.

Market Forecast: Projections of market size and growth trends over a specified period, based on historical data and current market conditions. This includes quantitative analyses and graphical representations to illustrate future market trajectories.

Regional Analysis: Evaluation of market performance across different geographical regions, identifying key markets and regional trends. This helps in understanding regional market dynamics and opportunities.

Emerging Trends and Opportunities: Identification of current and emerging market trends, technological innovations, and potential areas for investment. This section offers insights into future market developments and growth prospects.

SEGMENTATION COVERED IN THE REPORT

By Offering

Services
Hardware
Software

By Technology

Computer Vision
Machine Learning
Context Awareness Computing
Natural Language Processing

By Application

Dynamic Pricing
Virtual Assistants
Flight Operations
Smart Maintenance
Manufacturing
Surveillance
Training
Other Applications
COMPANIES PROFILED
IBM
Microsoft
Amazon Web Services Inc.
Airbus S.A.S.
Xilinx
NVIDIA Corporation
Intel Corporation
General Electric
Micron Technology Inc.
Lockheed Martin Corporation
Samsung Electronics
Thales Group
MindTitan
Mitsubishi Electric Corporation.
The above list can be customized.

1. PREFACE

1.1. Report Description
- 1.1.1 Objective
- 1.1.2 Target Audience
- 1.1.3 Unique Selling Proposition (USP) & offerings
1.2. Research Scope
1.3. Research Methodology
- 1.3.1 Market Research Process
- 1.3.2 Market Research Methodology

2. EXECUTIVE SUMMARY

2.1. Highlights of Market
2.2. Global Market Snapshot

3. ARTIFICIAL INTELLIGENCE IN AVIATION INDUSTRY ANALYSIS

3.1. Introduction - Market Dynamics
3.2. Market Drivers
3.3. Market Restraints
3.4. Opportunities
3.5. Industry Trends
3.6. Porter's Five Force Analysis
3.7. Market Attractiveness Analysis
- 3.7.1 Market Attractiveness Analysis By Offering
- 3.7.2 Market Attractiveness Analysis By Technology
- 3.7.3 Market Attractiveness Analysis By Application
- 3.7.4 Market Attractiveness Analysis By Regions

4. VALUE CHAIN ANALYSIS

4.1. Value Chain Analysis
4.2. Raw Material Analysis
- 4.2.1 List of Raw Materials
- 4.2.2 Raw Material Manufactures List
- 4.2.3 Price Trend of Key Raw Materials
4.3. List of Potential Buyers
4.4. Marketing Channel
- 4.4.1 Direct Marketing
- 4.4.2 Indirect Marketing
- 4.4.3 Marketing Channel Development Trend

5. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET ANALYSIS BY OFFERING

5.1. Overview By Offering
5.2. Historical and Forecast Data Analysis By Offering
5.3. Services Historic and Forecast Sales By Regions
5.4. Hardware Historic and Forecast Sales By Regions
5.5. Software Historic and Forecast Sales By Regions

6. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET ANALYSIS BY TECHNOLOGY

6.1. Overview By Technology
6.2. Historical and Forecast Data Analysis By Technology
6.3. Computer Vision Historic and Forecast Sales By Regions
6.4. Machine Learning Historic and Forecast Sales By Regions
6.5. Context Awareness Computing Historic and Forecast Sales By Regions
6.6. Natural Language Processing Historic and Forecast Sales By Regions

7. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET ANALYSIS BY APPLICATION

7.1. Overview By Application
7.2. Historical and Forecast Data Analysis By Application
7.3. Dynamic Pricing Historic and Forecast Sales By Regions
7.4. Virtual Assistants Historic and Forecast Sales By Regions
7.5. Flight Operations Historic and Forecast Sales By Regions
7.6. Smart Maintenance Historic and Forecast Sales By Regions
7.7. Manufacturing Historic and Forecast Sales By Regions
7.8. Surveillance Historic and Forecast Sales By Regions
7.9. Training Historic and Forecast Sales By Regions
7.10. Other Applications Historic and Forecast Sales By Regions

8. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET ANALYSIS BY GEOGRAPHY

8.1. Regional Outlook
8.2. Introduction
8.3. North America Sales Analysis
- 8.3.1 Overview, Historic and Forecast Data Sales Analysis
- 8.3.2 North America By Segment Sales Analysis
- 8.3.3 North America By Country Sales Analysis
- 8.3.4 United States Sales Analysis
- 8.3.5 Canada Sales Analysis
- 8.3.6 Mexico Sales Analysis
8.4. Europe Sales Analysis
- 8.4.1 Overview, Historic and Forecast Data Sales Analysis
- 8.4.2 Europe By Segment Sales Analysis
- 8.4.3 Europe By Country Sales Analysis
- 8.4.4 United Kingdom Sales Analysis
- 8.4.5 France Sales Analysis
- 8.4.6 Germany Sales Analysis
- 8.4.7 Italy Sales Analysis
- 8.4.8 Russia Sales Analysis
- 8.4.9 Rest Of Europe Sales Analysis
8.5. Asia Pacific Sales Analysis
- 8.5.1 Overview, Historic and Forecast Data Sales Analysis
- 8.5.2 Asia Pacific By Segment Sales Analysis
- 8.5.3 Asia Pacific By Country Sales Analysis
- 8.5.4 China Sales Analysis
- 8.5.5 India Sales Analysis
- 8.5.6 Japan Sales Analysis
- 8.5.7 South Korea Sales Analysis
- 8.5.8 Australia Sales Analysis
- 8.5.9 South East Asia Sales Analysis
- 8.5.10 Rest Of Asia Pacific Sales Analysis
8.6. Latin America Sales Analysis
- 8.6.1 Overview, Historic and Forecast Data Sales Analysis
- 8.6.2 Latin America By Segment Sales Analysis
- 8.6.3 Latin America By Country Sales Analysis
- 8.6.4 Brazil Sales Analysis
- 8.6.5 Argentina Sales Analysis
- 8.6.6 Peru Sales Analysis
- 8.6.7 Chile Sales Analysis
- 8.6.8 Rest of Latin America Sales Analysis
8.7. Middle East & Africa Sales Analysis
- 8.7.1 Overview, Historic and Forecast Data Sales Analysis
- 8.7.2 Middle East & Africa By Segment Sales Analysis
- 8.7.3 Middle East & Africa By Country Sales Analysis
- 8.7.4 Saudi Arabia Sales Analysis
- 8.7.5 UAE Sales Analysis
- 8.7.6 Israel Sales Analysis
- 8.7.7 South Africa Sales Analysis
- 8.7.8 Rest Of Middle East And Africa Sales Analysis

9. COMPETITIVE LANDSCAPE OF THE ARTIFICIAL INTELLIGENCE IN AVIATION COMPANIES

9.1. Artificial Intelligence in Aviation Market Competition
9.2. Partnership/Collaboration/Agreement
9.3. Merger And Acquisitions
9.4. New Product Launch
9.5. Other Developments

10. COMPANY PROFILES OF ARTIFICIAL INTELLIGENCE IN AVIATION INDUSTRY

10.1. Top Companies Market Share Analysis
10.2. Market Concentration Rate
10.3. IBM
- 10.3.1 Company Overview
- 10.3.2 Company Revenue
- 10.3.3 Products
- 10.3.4 Recent Developments
10.4. Microsoft
- 10.4.1 Company Overview
- 10.4.2 Company Revenue
- 10.4.3 Products
- 10.4.4 Recent Developments
10.5. Amazon Web Services Inc.
- 10.5.1 Company Overview
- 10.5.2 Company Revenue
- 10.5.3 Products
- 10.5.4 Recent Developments
10.6. Airbus S.A.S.
- 10.6.1 Company Overview
- 10.6.2 Company Revenue
- 10.6.3 Products
- 10.6.4 Recent Developments
10.7. Xilinx
- 10.7.1 Company Overview
- 10.7.2 Company Revenue
- 10.7.3 Products
- 10.7.4 Recent Developments
10.8. NVIDIA Corporation
- 10.8.1 Company Overview
- 10.8.2 Company Revenue
- 10.8.3 Products
- 10.8.4 Recent Developments
10.9. Intel Corporation
- 10.9.1 Company Overview
- 10.9.2 Company Revenue
- 10.9.3 Products
- 10.9.4 Recent Developments
10.10. General Electric
- 10.10.1 Company Overview
- 10.10.2 Company Revenue
- 10.10.3 Products
- 10.10.4 Recent Developments
10.11. Micron Technology Inc.
- 10.11.1 Company Overview
- 10.11.2 Company Revenue
- 10.11.3 Products
- 10.11.4 Recent Developments
10.12. Lockheed Martin Corporation
- 10.12.1 Company Overview
- 10.12.2 Company Revenue
- 10.12.3 Products
- 10.12.4 Recent Developments
10.13. Samsung Electronics
- 10.13.1 Company Overview
- 10.13.2 Company Revenue
- 10.13.3 Products
- 10.13.4 Recent Developments
10.14. Thales Group
- 10.14.1 Company Overview
- 10.14.2 Company Revenue
- 10.14.3 Products
- 10.14.4 Recent Developments
10.15. MindTitan
- 10.15.1 Company Overview
- 10.15.2 Company Revenue
- 10.15.3 Products
- 10.15.4 Recent Developments
10.16. Mitsubishi Electric Corporation
- 10.16.1 Company Overview
- 10.16.2 Company Revenue
- 10.16.3 Products
- 10.16.4 Recent Developments