항공용 AI 시장 : 세계 산업 분석, 규모, 점유율, 성장률, 동향, 예측(2023-2031년)

AI in Aviation Market [Offering: Hardware, Software, Services; Technology: Machine Learning, Natural Language Processing (NLP), Computer Vision, Context Awareness Computing]-Global Industry Analysis, Size, Share, Growth, Trends, & Forecast, 2023-2031

US $ 5,795 ￦ 8,422,000

PDF (Single User License)

PDF 보고서를 1명만 이용할 수 있는 라이선스입니다. 인쇄 가능하며 인쇄물의 이용 범위는 PDF 이용 범위와 동일합니다.

US $ 8,795 ￦ 12,782,000

PDF (Multi-user License)

PDF 보고서를 동일 부서 5명이 이용할 수 있는 라이선스입니다. 텍스트 등의 Copy & Paste가 가능합니다. 인쇄 가능하며 인쇄물의 이용 범위는 PDF 이용 범위와 동일합니다.

US $ 11,795 ￦ 17,142,000

PDF (Corporate License)

PDF 보고서를 동일 기업의 모든 분이 이용할 수 있는 라이선스입니다. 인쇄 가능하며 인쇄물의 이용 범위는 PDF 이용 범위와 동일합니다.

한글목차

항공용 AI 시장 - 리포트의 범위

세계의 항공용 AI 시장에 관한 TMR의 리포트는 과거와 현재의 성장 동향 및 2023-2031년의 예측 기간 중 시장 지표에 관한 귀중한 인사이트를 얻을 기회를 연구하고 있습니다. 이 리포트는 2023년을 기준년, 2031년을 예측년으로 하며, 2017-2031년 세계 시장의 매출을 제공합니다. 또한 2023-2031년 세계 시장의 연평균 성장률(CAGR %)도 제공합니다.

이 리포트는 광범위한 조사를 거쳐 작성되었습니다. 1차 조사에서는 조사 활동의 대부분이 시행되며, 애널리스트가 주요 오피니언 리더, 업계 리더, 오피니언 제조업체와 인터뷰를 시행했습니다. 2차 조사에는 항공용 AI 시장을 이해하기 위해 주요 기업의 제품 문헌, 연차보고서, 프레스 릴리스 및 관련 문서의 참조가 포함됩니다.

시장 스냅숏
2023년 시장 가치	7억 1,330만 달러
2031년 시장 가치	121억 달러
CAGR	37%

세계의 항공용 AI 시장의 경쟁 구도를 자세하게 조사하고 있습니다. 세계의 항공용 AI 시장에서 활동하는 주요 기업이 식별되며, 각각의 기업이 다양한 속성의 관점에서 프로파일링되고 있습니다. 회사 개요, 재무 상황, 최근 동향, SWOT은 이 리포트에서 소개되고 있는 세계의 항공용 AI 시장 기업의 속성입니다.

목차

제1장 서문

제2장 주요 요약

• 세계 시장 개요
• 지역 개요
• 업계 개요
• 시장 역학 스냅숏
• 경쟁 청사진

제3장 시장 역학

• 거시경제적 요인
• 촉진요인
• 억제요인
• 기회
• 주요 동향
• 규제 프레임워크

제4장 관련 업계와 주요 지표 평가

• 모업계(Parent Industry)의 개요 - 세계의 항공 업계 개요
• 에코시스템 분석
• 테크놀러지 로드맵
• 업계 SWOT 분석
• Porter's Five Forces 분석

제5장 세계 시장 분석 : 제공별

• 시장 규모 분석과 예측 : 제공별, 2017-2031
  • 하드웨어
  • 소프트웨어
  • 서비스
• 시장의 매력 분석 : 제공별

제6장 세계 시장 분석 : 테크놀러지별

• 시장 규모 분석과 예측 : 테크놀러지별, 2017-2031
  • 기계학습
  • 자연언어처리(NLP)
  • 컴퓨터 비전
  • 상황 인지 컴퓨팅
• 시장의 매력 분석 : 테크놀러지별

제7장 세계 시장 분석 : 용도별

• 시장 규모 분석과 예측 : 용도별, 2017-2031
  • 항공교통관제
  • 비행 관리 시스템
  • 플라이트의 최적화
  • 제조업
  • 항공 안전과 예지보전
  • 여객 서비스
  • 연료의 최적화
  • 다이나믹 가격
  • 기타
• 시장의 매력 분석 : 용도별

제8장 세계 시장의 분석과 예측 : 지역별

• 시장 규모 분석과 예측 : 지역별, 2017-2031
  • 북미
  • 유럽
  • 아시아태평양
  • 중동 및 아프리카
  • 남미
• 시장의 매력 분석 : 지역별

제9장 북미 시장 분석과 예측

제10장 유럽 시장 분석과 예측

제11장 아시아태평양 시장 분석과 예측

제12장 중동 및 아프리카 시장 분석과 예측

제13장 남미 시장 분석과 예측

제14장 경쟁 평가

• 세계 시장 경쟁 매트릭스 - 대시보드 뷰
  • 세계 시장 기업 점유율 분석 : 금액별(2022년)
  • 기술적인 차별화 요인

제15장 기업 개요(세계의 제조업체/공급업체)

• Advanced Micro Devices, Inc.
• Airbus
• Boeing
• Fujitsu
• General Electric Company
• IBM Corporation
• Lockheed Martin
• Microsoft Corporation
• NEC Corporation
• Samsung
• SITA
• TAV Technologies
• Thales Group
• 기타

제16장 시장 전략

KSA

영문 목차

영문목차

AI in Aviation Market - Scope of Report

TMR's report on the global AI in aviation market studies the past as well as the current growth trends and opportunities to gain valuable insights of the indicators of the market during the forecast period from 2023 to 2031. The report provides revenue of the global AI in aviation market for the period 2017-2031, considering 2023 as the base year and 2031 as the forecast year. The report also provides the compound annual growth rate (CAGR %) of the global AI in aviation market from 2023 to 2031.

The report has been prepared after an extensive research. Primary research involved bulk of the research efforts, wherein analysts carried out interviews with key opinion leaders, industry leaders, and opinion makers. Secondary research involved referring to key players' product literature, annual reports, press releases, and relevant documents to understand the AI in aviation market.

Market Snapshot
Market Value in 2023	US$ 713.3 Mn
Market Value in 2031	US$ 12.1 Bn
CAGR	37%

Secondary research also included Internet sources, statistical data from government agencies, websites, and trade associations. Analysts employed a combination of top-down and bottom-up approaches to study various attributes of the global AI in aviation market.

The report includes an elaborate executive summary, along with a snapshot of the growth behavior of various segments included in the scope of the study. Moreover, the report throws light on the changing competitive dynamics in the global AI in aviation market. These serve as valuable tools for existing market players as well as for entities interested in participating in the global AI in aviation market.

The report delves into the competitive landscape of the global AI in aviation market. Key players operating in the global AI in aviation market have been identified and each one of these has been profiled in terms of various attributes. Company overview, financial standings, recent developments, and SWOT are the attributes of players in the global AI in aviation market profiled in this report.

Key Questions Answered in Global AI in Aviation Market Report:

• What is the sales/revenue generated by AI in aviation across all regions during the forecast period?
• What are the opportunities in the global AI in aviation market?
• What are the major drivers, restraints, opportunities, and threats in the market?
• Which regional market is set to expand at the fastest CAGR during the forecast period?
• Which segment is expected to generate the highest revenue globally in 2031?
• Which segment is projected to expand at the highest CAGR during the forecast period?
• What are the market positions of different companies operating in the global market?

AI in Aviation Market - Research Objectives and Research Approach

The comprehensive report on the global AI in aviation market begins with an overview, followed by the scope and objectives of the study. The report provides detailed explanation of the objectives behind this study and key vendors and distributors operating in the market and regulatory scenario for approval of products.

For reading comprehensibility, the report has been compiled in a chapter-wise layout, with each section divided into smaller ones. The report comprises an exhaustive collection of graphs and tables that are appropriately interspersed. Pictorial representation of actual and projected values of key segments is visually appealing to readers. This also allows comparison of the market shares of key segments in the past and at the end of the forecast period.

The report analyzes the global AI in aviation market in terms of product, end-user, and region. Key segments under each criterion have been studied at length, and the market share for each of these at the end of 2031 has been provided. Such valuable insights enable market stakeholders in making informed business decisions for investment in the global AI in aviation market.

Table of Contents

1. Preface

• 1.1. Market and Segments Definition
• 1.2. Market Taxonomy
• 1.3. Research Methodology
• 1.4. Assumption and Acronyms

2. Executive Summary

• 2.1. Global AI in Aviation Market Overview
• 2.2. Regional Outline
• 2.3. Industry Outline
• 2.4. Market Dynamics Snapshot
• 2.5. Competition Blueprint

3. Market Dynamics

• 3.1. Macro-economic Factors
• 3.2. Drivers
• 3.3. Restraints
• 3.4. Opportunities
• 3.5. Key Trends
• 3.6. Regulatory Framework

4. Associated Industry and Key Indicator Assessment

• 4.1. Parent Industry Overview - Global Aviation Industry Overview
• 4.2. Ecosystem Analysis
• 4.3. Technology Roadmap
• 4.4. Industry SWOT Analysis
• 4.5. Porter's Five Forces Analysis

5. Global AI in Aviation Market Analysis, by Offering

• 5.1. AI in Aviation Market Size (US$ Mn) Analysis & Forecast, by Offering, 2017-2031
  • 5.1.1. Hardware
  • 5.1.2. Software
  • 5.1.3. Services
• 5.2. Market Attractiveness Analysis, by Offering

6. Global AI in Aviation Market Analysis, by Technology

• 6.1. AI in Aviation Market Size (US$ Mn) Analysis & Forecast, by Technology, 2017-2031
  • 6.1.1. Machine Learning
  • 6.1.2. Natural Language Processing (NLP)
  • 6.1.3. Computer Vision
  • 6.1.4. Context Awareness Computing
• 6.2. Market Attractiveness Analysis, by Technology

7. Global AI in Aviation Market Analysis, by Application

• 7.1. AI in Aviation Market Size (US$ Mn) Analysis & Forecast, by Application, 2017-2031
  • 7.1.1. Air Traffic Control
  • 7.1.2. Flight Management Systems
  • 7.1.3. Flights Optimization
  • 7.1.4. Manufacturing
  • 7.1.5. Air Safety and Predictive Maintenance
  • 7.1.6. Passenger Services
  • 7.1.7. Fuel Optimization
  • 7.1.8. Dynamic Pricing
  • 7.1.9. Others
• 7.2. Market Attractiveness Analysis, by Application

8. Global AI in Aviation Market Analysis and Forecast, by Region

• 8.1. AI in Aviation Market Size (US$ Mn) Analysis & Forecast, by Region, 2017-2031
  • 8.1.1. North America
  • 8.1.2. Europe
  • 8.1.3. Asia Pacific
  • 8.1.4. Middle East & Africa
  • 8.1.5. South America
• 8.2. Market Attractiveness Analysis, by Region

9. North America AI in Aviation Market Analysis and Forecast

• 9.1. Market Snapshot
• 9.2. AI in Aviation Market Size (US$ Mn) Analysis & Forecast, by Offering, 2017-2031
  • 9.2.1. Hardware
  • 9.2.2. Software
  • 9.2.3. Services
• 9.3. AI in Aviation Market Size (US$ Mn) Analysis & Forecast, by Technology, 2017-2031
  • 9.3.1. Machine Learning
  • 9.3.2. Natural Language Processing (NLP)
  • 9.3.3. Computer Vision
  • 9.3.4. Context Awareness Computing
• 9.4. AI in Aviation Market Size (US$ Mn) Analysis & Forecast, by Application, 2017-2031
  • 9.4.1. Air Traffic Control
  • 9.4.2. Flight Management Systems
  • 9.4.3. Flights Optimization
  • 9.4.4. Manufacturing
  • 9.4.5. Air Safety and Predictive Maintenance
  • 9.4.6. Passenger Services
  • 9.4.7. Fuel Optimization
  • 9.4.8. Dynamic Pricing
  • 9.4.9. Others
• 9.5. AI in Aviation Market Size (US$ Mn) Analysis & Forecast, by Country and Sub-region, 2017-2031
  • 9.5.1. U.S.
  • 9.5.2. Canada
  • 9.5.3. Rest of North America
• 9.6. Market Attractiveness Analysis
  • 9.6.1. By Offering
  • 9.6.2. By Technology
  • 9.6.3. By Application
  • 9.6.4. By Country/Sub-region

10. Europe AI in Aviation Market Analysis and Forecast

• 10.1. Market Snapshot
• 10.2. AI in Aviation Market Size (US$ Mn) Analysis & Forecast, by Offering, 2017-2031
  • 10.2.1. Hardware
  • 10.2.2. Software
  • 10.2.3. Services
• 10.3. AI in Aviation Market Size (US$ Mn) Analysis & Forecast, by Technology, 2017-2031
  • 10.3.1. Machine Learning
  • 10.3.2. Natural Language Processing (NLP)
  • 10.3.3. Computer Vision
  • 10.3.4. Context Awareness Computing
• 10.4. AI in Aviation Market Size (US$ Mn) Analysis & Forecast, by Application, 2017-2031
  • 10.4.1. Air Traffic Control
  • 10.4.2. Flight Management Systems
  • 10.4.3. Flights Optimization
  • 10.4.4. Manufacturing
  • 10.4.5. Air Safety and Predictive Maintenance
  • 10.4.6. Passenger Services
  • 10.4.7. Fuel Optimization
  • 10.4.8. Dynamic Pricing
  • 10.4.9. Others
• 10.5. AI in Aviation Market Size (US$ Mn) Analysis & Forecast, by Country and Sub-region, 2017-2031
  • 10.5.1. U.K.
  • 10.5.2. Germany
  • 10.5.3. France
  • 10.5.4. Rest of Europe
• 10.6. Market Attractiveness Analysis
  • 10.6.1. By Offering
  • 10.6.2. By Technology
  • 10.6.3. By Application
  • 10.6.4. By Country/Sub-region

11. Asia Pacific AI in Aviation Market Analysis and Forecast

• 11.1. Market Snapshot
• 11.2. AI in Aviation Market Size (US$ Mn) Analysis & Forecast, by Offering, 2017-2031
  • 11.2.1. Hardware
  • 11.2.2. Software
  • 11.2.3. Services
• 11.3. AI in Aviation Market Size (US$ Mn) Analysis & Forecast, by Technology, 2017-2031
  • 11.3.1. Machine Learning
  • 11.3.2. Natural Language Processing (NLP)
  • 11.3.3. Computer Vision
  • 11.3.4. Context Awareness Computing
• 11.4. AI in Aviation Market Size (US$ Mn) Analysis & Forecast, by Application, 2017-2031
  • 11.4.1. Air Traffic Control
  • 11.4.2. Flight Management Systems
  • 11.4.3. Flights Optimization
  • 11.4.4. Manufacturing
  • 11.4.5. Air Safety and Predictive Maintenance
  • 11.4.6. Passenger Services
  • 11.4.7. Fuel Optimization
  • 11.4.8. Dynamic Pricing
  • 11.4.9. Others
• 11.5. AI in Aviation Market Size (US$ Mn) Analysis & Forecast, by Country and Sub-region, 2017-2031
  • 11.5.1. China
  • 11.5.2. Japan
  • 11.5.3. India
  • 11.5.4. South Korea
  • 11.5.5. ASEAN
  • 11.5.6. Rest of Asia Pacific
• 11.6. Market Attractiveness Analysis
  • 11.6.1. By Offering
  • 11.6.2. By Technology
  • 11.6.3. By Application
  • 11.6.4. By Country/Sub-region

12. Middle East & Africa AI in Aviation Market Analysis and Forecast

• 12.1. Market Snapshot
• 12.2. AI in Aviation Market Size (US$ Mn) Analysis & Forecast, by Offering, 2017-2031
  • 12.2.1. Hardware
  • 12.2.2. Software
  • 12.2.3. Services
• 12.3. AI in Aviation Market Size (US$ Mn) Analysis & Forecast, by Technology, 2017-2031
  • 12.3.1. Machine Learning
  • 12.3.2. Natural Language Processing (NLP)
  • 12.3.3. Computer Vision
  • 12.3.4. Context Awareness Computing
• 12.4. AI in Aviation Market Size (US$ Mn) Analysis & Forecast, by Application, 2017-2031
  • 12.4.1. Air Traffic Control
  • 12.4.2. Flight Management Systems
  • 12.4.3. Flights Optimization
  • 12.4.4. Manufacturing
  • 12.4.5. Air Safety and Predictive Maintenance
  • 12.4.6. Passenger Services
  • 12.4.7. Fuel Optimization
  • 12.4.8. Dynamic Pricing
  • 12.4.9. Others
• 12.5. AI in Aviation Market Size (US$ Mn) Analysis & Forecast, by Country and Sub-region, 2017-2031
  • 12.5.1. GCC
  • 12.5.2. South Africa
  • 12.5.3. Rest of Middle East & Africa
• 12.6. Market Attractiveness Analysis
  • 12.6.1. By Offering
  • 12.6.2. By Technology
  • 12.6.3. By Application
  • 12.6.4. By Country/Sub-region

13. South America AI in Aviation Market Analysis and Forecast

• 13.1. Market Snapshot
• 13.2. AI in Aviation Market Size (US$ Mn) Analysis & Forecast, by Offering, 2017-2031
  • 13.2.1. Hardware
  • 13.2.2. Software
  • 13.2.3. Services
• 13.3. AI in Aviation Market Size (US$ Mn) Analysis & Forecast, by Technology, 2017-2031
  • 13.3.1. Machine Learning
  • 13.3.2. Natural Language Processing (NLP)
  • 13.3.3. Computer Vision
  • 13.3.4. Context Awareness Computing
• 13.4. AI in Aviation Market Size (US$ Mn) Analysis & Forecast, by Application, 2017-2031
  • 13.4.1. Air Traffic Control
  • 13.4.2. Flight Management Systems
  • 13.4.3. Flights Optimization
  • 13.4.4. Manufacturing
  • 13.4.5. Air Safety and Predictive Maintenance
  • 13.4.6. Passenger Services
  • 13.4.7. Fuel Optimization
  • 13.4.8. Dynamic Pricing
  • 13.4.9. Others
• 13.5. AI in Aviation Market Size (US$ Mn) Analysis & Forecast, by Country and Sub-region, 2017-2031
  • 13.5.1. Brazil
  • 13.5.2. Rest of South America
• 13.6. Market Attractiveness Analysis
  • 13.6.1. By Offering
  • 13.6.2. By Technology
  • 13.6.3. By Application
  • 13.6.4. By Country/Sub-region

14. Competition Assessment

• 14.1. Global AI in Aviation Market Competition Matrix - a Dashboard View
  • 14.1.1. Global AI in Aviation Market Company Share Analysis, by Value (2022)
  • 14.1.2. Technological Differentiator

15. Company Profiles (Global Manufacturers/Suppliers)

• 15.1. Advanced Micro Devices, Inc.
  • 15.1.1. Overview
  • 15.1.2. Product Portfolio
  • 15.1.3. Sales Footprint
  • 15.1.4. Key Subsidiaries or Distributors
  • 15.1.5. Strategy and Recent Developments
  • 15.1.6. Key Financials
• 15.2. Airbus
  • 15.2.1. Overview
  • 15.2.2. Product Portfolio
  • 15.2.3. Sales Footprint
  • 15.2.4. Key Subsidiaries or Distributors
  • 15.2.5. Strategy and Recent Developments
  • 15.2.6. Key Financials
• 15.3. Boeing
  • 15.3.1. Overview
  • 15.3.2. Product Portfolio
  • 15.3.3. Sales Footprint
  • 15.3.4. Key Subsidiaries or Distributors
  • 15.3.5. Strategy and Recent Developments
  • 15.3.6. Key Financials
• 15.4. Fujitsu
  • 15.4.1. Overview
  • 15.4.2. Product Portfolio
  • 15.4.3. Sales Footprint
  • 15.4.4. Key Subsidiaries or Distributors
  • 15.4.5. Strategy and Recent Developments
  • 15.4.6. Key Financials
• 15.5. General Electric Company
  • 15.5.1. Overview
  • 15.5.2. Product Portfolio
  • 15.5.3. Sales Footprint
  • 15.5.4. Key Subsidiaries or Distributors
  • 15.5.5. Strategy and Recent Developments
  • 15.5.6. Key Financials
• 15.6. IBM Corporation
  • 15.6.1. Overview
  • 15.6.2. Product Portfolio
  • 15.6.3. Sales Footprint
  • 15.6.4. Key Subsidiaries or Distributors
  • 15.6.5. Strategy and Recent Developments
  • 15.6.6. Key Financials
• 15.7. Lockheed Martin
  • 15.7.1. Overview
  • 15.7.2. Product Portfolio
  • 15.7.3. Sales Footprint
  • 15.7.4. Key Subsidiaries or Distributors
  • 15.7.5. Strategy and Recent Developments
  • 15.7.6. Key Financials
• 15.8. Microsoft Corporation
  • 15.8.1. Overview
  • 15.8.2. Product Portfolio
  • 15.8.3. Sales Footprint
  • 15.8.4. Key Subsidiaries or Distributors
  • 15.8.5. Strategy and Recent Developments
  • 15.8.6. Key Financials
• 15.9. NEC Corporation
  • 15.9.1. Overview
  • 15.9.2. Product Portfolio
  • 15.9.3. Sales Footprint
  • 15.9.4. Key Subsidiaries or Distributors
  • 15.9.5. Strategy and Recent Developments
  • 15.9.6. Key Financials
• 15.10. Samsung
  • 15.10.1. Overview
  • 15.10.2. Product Portfolio
  • 15.10.3. Sales Footprint
  • 15.10.4. Key Subsidiaries or Distributors
  • 15.10.5. Strategy and Recent Developments
  • 15.10.6. Key Financials
• 15.11. SITA
  • 15.11.1. Overview
  • 15.11.2. Product Portfolio
  • 15.11.3. Sales Footprint
  • 15.11.4. Key Subsidiaries or Distributors
  • 15.11.5. Strategy and Recent Developments
  • 15.11.6. Key Financials
• 15.12. TAV Technologies
  • 15.12.1. Overview
  • 15.12.2. Product Portfolio
  • 15.12.3. Sales Footprint
  • 15.12.4. Key Subsidiaries or Distributors
  • 15.12.5. Strategy and Recent Developments
  • 15.12.6. Key Financials
• 15.13. Thales Group
  • 15.13.1. Overview
  • 15.13.2. Product Portfolio
  • 15.13.3. Sales Footprint
  • 15.13.4. Key Subsidiaries or Distributors
  • 15.13.5. Strategy and Recent Developments
  • 15.13.6. Key Financials
• 15.14. Other Key Players
  • 15.14.1. Overview
  • 15.14.2. Product Portfolio
  • 15.14.3. Sales Footprint
  • 15.14.4. Key Subsidiaries or Distributors
  • 15.14.5. Strategy and Recent Developments
  • 15.14.6. Key Financials

16. Go To Market Strategy

• 16.1. Identification of Potential Market Spaces
• 16.2. Preferred Sales & Marketing Strategy

관련자료