Artificial Intelligence In Aviation Market - Global Industry Analysis

Artificial Intelligence In Aviation Market – By Technology (Machine Learning, Context Awareness, NLP, and Computer Vision), By Application (Virtual Assistants and Smart Maintenance), and By Region - Global Industry Perspective, Comprehensive Analysis, and Forecast, 2020 – 2026

Published Date: 31-May-2021 Category: Technology & Media Report Format : PDF Pages: 150 Report Code: ZMR-6340 Status : Published

The global Artificial Intelligence In Aviation market, which was estimated at about 120.1 (USD Million) in 2019 and is predicted to accrue earnings worth 2,357.5 (USD Million) by 2026, is set to record a CAGR of nearly over 47% during 2020-2026.

Description

The global Artificial Intelligence In Aviation market, which was estimated at about 120.1 (USD Million) in 2019 and is predicted to accrue earnings worth 2,357.5 (USD Million) by 2026, is set to record a CAGR of nearly over 47% during 2020-2026. The report offers valuation and analysis of Artificial Intelligence In Aviation market on a global as well as regional level. The study offers a comprehensive assessment of the industry competition, limitations, sales estimates, avenues, current & emerging trends, and industry-validated market data. The report offers historical data from 2016 to 2019 along with a forecast from 2020 to 2026 based on value (USD Million).

Report Scope :

Report Attribute Details
Base Year 2020
Historic Years 2016 - 2020
Forecast Years 2021 - 2028
Segments Covered By Product Type, By Application, and By End Use
Forecast Units Value (USD Billion), and Volume (Units)
Quantitative Units Revenue in USD million/billion and CAGR from 2021 to 2028
Regions Covered North America, Europe, Asia Pacific, Latin America, and Middle East & Africa, and Rest of World
Countries Covered U.S., Canada, Mexico, U.K., Germany, France, Italy, Spain, China, India, Japan, South Korea, Brazil, Argentina, GCC Countries, and South Africa, among others
Number of Companies Covered 10 companies with scope for including additional 15 companies upon request
Report Coverage Market growth drivers, restraints, opportunities, Porter’s five forces analysis, PEST analysis, value chain analysis, regulatory landscape, market attractiveness analysis by segments and region, company market share analysis, and COVID-19 impact analysis.
Customization Scope Avail customized purchase options to meet your exact research needs.

Artificial Intelligence In Aviation Market: Synopsis

Artificial intelligence in the aviation sector is utilized for baggage check-in at airports, face recognition, addressing consumer issues, and focusing on airplane fuel efficiency. Need for reducing manual work in aviation industry will proliferate the growth of artificial intelligence in aviation sector over the assessment period. Massive requirement for automating aerospace & aviation activities for effectively managing aviation systems along with enhancing consumer satisfaction will proliferate the market size over the projected timeline.

Global Artificial Intelligence In Aviation Market

Artificial Intelligence In Aviation Market: Growth Dynamics

The expansion of artificial intelligence in aviation industry over the assessment period is owing to use of big data in aviation sector. In addition to this, rise in the terrorist attacks & bombing have resulted in monitoring of bags of travellers and this will further steer the market trends. Apparently, need for passenger identification, recognizing identity thefts, and improving the efficiency of aircraft operations will proliferate the size of artificial intelligence in aviation market over the upcoming years. Furthermore, large-scale funding of AI systems will prompt the demand for artificial intelligence in aviation industry over the assessment period.

Moreover, AI-driven virtual assistants help the airline firms enhance the efficacy of pilots through reduction of monotonous tasks, accurately providing weather forecasts, and providing information about the location of aircrafts to the travellers on board. All these aforementioned aspects will steer the surge of artificial intelligence in aviation market over the predicted timeframe. AI also helps in improving customer services and this will further add to market profitability in the near future.

Asia Pacific Artificial Intelligence In Aviation Market Growth To Reach Its Peak By 2026

The artificial intelligence in aviation industry in APAC is slated to experience highest growth over 2020-2026 subject to rise in the use of machine learning as well as NLP technologies in aviation industry. Additionally, massive use of AI systems in the countries like China, Singapore, South Korea, Taiwan, and Japan will create lucrative growth opportunities for artificial intelligence in aviation industry across Asia Pacific over the coming decade.

Key players profiled in the study are Intel Corporation, NVIDIA Corporation, IBM Corporation, Micron Technology, Inc., Samsung, Xilinx, Inc., Amazon.com, Inc., Microsoft Corporation, Airbus SE, The Boeing Company, General Electric Company, Thales Group, Lockheed Martin Corporation, and Garmin Ltd.

The global Artificial Intelligence In Aviation Market is segmented as follows:

By Application:

  • Virtual Assistants
  • Smart Maintenance

By Technology:

  • Machine Learning
  • Computer Vision
  • Context Awareness
  • NLP

By Region

 

  • North America
    • The U.S.
    • Canada
  • Europe
    • France
    • The UK
    • Spain
    • Germany
    • Italy
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Southeast Asia
    • Rest of Asia Pacific
  • Latin America
    • Brazil
    • Mexico
    • Rest of Latin America
  • Middle East & Africa
    • GCC
    • South Africa
    • Rest of Middle East & Africa

Table Of Content

  • Chapter 1. Preface
    • 1.1. Report Description and Scope
    • 1.2. Research Scope
    • 1.3. Research Methodology
      • 1.3.1. Market Research Process
      • 1.3.2. Market Research Methodology
  • Chapter 2. Executive Summary
    • 2.1. Artificial Intelligence In Aviation Market, 2016–2026 (USD Million)
    • 2.2. Artificial Intelligence In Aviation Market: Snapshot
  • Chapter 3. Global Artificial Intelligence In Aviation Market– Industry Analysis
    • 3.1. Artificial Intelligence In Aviation Market: Market Dynamics
    • 3.2. Market Drivers
      • 3.2.1. The expansion of artificial intelligence in aviation industry over the assessment period is due to use of big data in aviation sector.
      • 3.2.2. Rise in the terrorist attacks & bombing have resulted in monitoring of bags of travellers and this will further steer the market trends.
    • 3.3. Porter’s Five Forces Analysis
    • 3.4. Market Attractiveness Analysis
      • 3.4.1. Market attractiveness analysis By Application
      • 3.4.2. Market attractiveness analysis By Technology
  • Chapter 4. Global Artificial Intelligence In Aviation Market– Competitive Landscape
    • 4.1. Company market share analysis
      • 4.1.1. Global Artificial Intelligence In Aviation Market: company market share, 2018
    • 4.2. Strategic development
      • 4.2.1. Acquisitions & mergers
      • 4.2.2. New Technology launches
      • 4.2.3. Agreements, partnerships, cullaborations, and joint ventures
      • 4.2.4. Research and development and Regional expansion
    • 4.3. Price trend analysis
  • Chapter 5. Global Artificial Intelligence In Aviation Market– Application Analysis
    • 5.1. Global Artificial Intelligence In Aviation Market overview: By Application
      • 5.1.1. Global Artificial Intelligence In Aviation Market share, By Application , 2019 and 2026
    • 5.2. Virtual Assistants
      • 5.2.1. Global Artificial Intelligence In Aviation Market By Virtual Assistants, 2016–2026 (USD Million)
    • 5.3. Smart Maintenance
      • 5.3.1. Global Artificial Intelligence In Aviation Market By Smart Maintenance, 2016–2026 (USD Million)
  • Chapter 6. Global Artificial Intelligence In Aviation Market– Technology Analysis
    • 6.1. Global Artificial Intelligence In Aviation Market overview: By Technology
      • 6.1.1. Global Artificial Intelligence In Aviation Market share, By Technology, 2019 and 2026
    • 6.2. Machine Learning
      • 6.2.1. Global Artificial Intelligence In Aviation Market By Machine Learning , 2016–2026 (USD Million)
    • 6.3. Computer Vision
      • 6.3.1. Global Artificial Intelligence In Aviation Market By Computer Vision, 2016–2026 (USD Million)
    • 6.4. NLP
      • 6.4.1. Global Artificial Intelligence In Aviation Market By NLP, 2016–2026 (USD Million)
    • 6.5. Context Awareness
      • 6.5.1. Global Artificial Intelligence In Aviation Market By Context Awareness, 2016–2026 (USD Million)
  • Chapter 7. Company Profiles
    • 7.1. Intel Corporation
      • 7.1.1. Overview
      • 7.1.2. Financials
      • 7.1.3. Technology Portfolio
      • 7.1.4. Business Strategy
      • 7.1.5. Recent Developments
    • 7.2. IBM Corporation
      • 7.2.1. Overview
      • 7.2.2. Financials
      • 7.2.3. Technology Portfolio
      • 7.2.4. Business Strategy
      • 7.2.5. Recent Developments
    • 7.3. Micron Technology, Inc.
      • 7.3.1. Overview
      • 7.3.2. Financials
      • 7.3.3. Technology Portfolio
      • 7.3.4. Business Strategy
      • 7.3.5. Recent Developments
    • 7.4. Microsoft Corporation
      • 7.4.1. Overview
      • 7.4.2. Financials
      • 7.4.3. Technology Portfolio
      • 7.4.4. Business Strategy
      • 7.4.5. Recent Developments
    • 7.5. Samsung
      • 7.5.1. Overview
      • 7.5.2. Financials
      • 7.5.3. Technology Portfolio
      • 7.5.4. Business Strategy
      • 7.5.5. Recent Development
    • 7.6. NVIDIA Corporation (U.S.)
      • 7.6.1. Overview
      • 7.6.2. Financials
      • 7.6.3. Technology Portfolio
      • 7.6.4. Business Strategy
      • 7.6.5. Recent Development
    • 7.7. Xilinx, Inc.
      • 7.7.1. Overview
      • 7.7.2. Financials
      • 7.7.3. Technology Portfolio
      • 7.7.4. Business Strategy
      • 7.7.5. Recent Development
    • 7.8. Amazon.com, Inc.
      • 7.8.1. Overview
      • 7.8.2. Financials
      • 7.8.3. Technology Portfolio
      • 7.8.4. Business Strategy
      • 7.8.5. Recent Development
    • 7.9. Airbus SE
      • 7.9.1. Overview
      • 7.9.2. Financials
      • 7.9.3. Technology Portfolio
      • 7.9.4. Business Strategy
      • 7.9.5. Recent Development
    • 7.10. The Boeing Company
      • 7.10.1. Overview
      • 7.10.2. Financials
      • 7.10.3. Technology Portfolio
      • 7.10.4. Business Strategy
      • 7.10.5. Recent Development
    • 7.11. General Electric Company
      • 7.11.1. Overview
      • 7.11.2. Financials
      • 7.11.3. Technology Portfolio
      • 7.11.4. Business Strategy
      • 7.11.5. Recent Development
    • 7.12. Thales Group
      • 7.12.1. Overview
      • 7.12.2. Financials
      • 7.12.3. Technology Portfolio
      • 7.12.4. Business Strategy
      • 7.12.5. Recent Development
    • 7.13. Lockheed Martin Corporation
      • 7.13.1. Overview
      • 7.13.2. Financials
      • 7.13.3. Technology Portfolio
      • 7.13.4. Business Strategy
      • 7.13.5. Recent Development
    • 7.14. Garmin Ltd.
      • 7.14.1. Overview
      • 7.14.2. Financials
      • 7.14.3. Technology Portfolio
      • 7.14.4. Business Strategy
      • 7.14.5. Recent Development

Table Of Figures

List of Figures

1. Market research process
2. Market research methodology
3. Global Artificial Intelligence In Aviation Market, 2016–2026 (USD Million)
4. Porter’s Five Forces Analysis
5. Global Artificial Intelligence In Aviation Market attractiveness, By Application
6. Global Artificial Intelligence In Aviation Market attractiveness, By Technology
7. Global Artificial Intelligence In Aviation Market Share by Application ,2019 and 2026 (USD Million)
8. Global Artificial Intelligence In Aviation Market by Virtual Assistants ,2016–2026 (USD Million)
9. Global Artificial Intelligence In Aviation Market by Smart Maintenance,2016–2026 (USD Million)
10. Global Artificial Intelligence In Aviation Market Share by Technology ,2019 and 2026 (USD Million)
11. Global Artificial Intelligence In Aviation Market by Machine Learning , and,2016–2026 (USD Million)
12. Global Artificial Intelligence In Aviation Market by Computer Vision,2016–2026 (USD Million)
13. Global Artificial Intelligence In Aviation Market by NLP,2016–2026 (USD Million)
14. Global Artificial Intelligence In Aviation Market by Context Awareness,2016–2026 (USD Million)
15. Global Artificial Intelligence In Aviation Market share, by Region, 2019 and 2026
16. North America Artificial Intelligence In Aviation Market, 2016–2026 (USD Million)
17. Europe Artificial Intelligence In Aviation Market, 2016–2026 (USD Million)
18. Asia Pacific Artificial Intelligence In Aviation Market, 2016–2026 (USD Million)
19. Latin America Artificial Intelligence In Aviation Market, 2016–2026 (USD Million)
20. The Middle East and Africa Artificial Intelligence In Aviation Market, 2016–2026 (USD Million)


Table Of Tables

List of Tables

1. Global Artificial Intelligence In Aviation Market: snapshot
2. Drivers of the Artificial Intelligence In Aviation Market: impact analysis
3. North America Artificial Intelligence In Aviation Market revenue, By Application, 2016–2026 (USD Million)
4. North America Artificial Intelligence In Aviation Market revenue, By Technology, 2016–2026 (USD Million)
5. The U.S. Artificial Intelligence In Aviation Market revenue, By Application, 2016–2026 (USD Million)
6. The U.S. Artificial Intelligence In Aviation Market revenue, By Technology, 2016–2026 (USD Million)
7. Rest of North America Artificial Intelligence In Aviation Market revenue, By Application, 2016–2026 (USD Million)
8.  Rest of North America Artificial Intelligence In Aviation Market revenue, By Technology, 2016–2026 (USD Million)
9.  Europe Artificial Intelligence In Aviation Market revenue, By Application, 2016–2026 (USD Million)
10. Europe Artificial Intelligence In Aviation Market revenue, By Technology, 2016–2026 (USD Million)
11. UK Artificial Intelligence In Aviation Market revenue, By Application, 2016–2026 (USD Million)
12. UK Artificial Intelligence In Aviation Market revenue, By Technology, 2016–2026 (USD Million)
13. France Artificial Intelligence In Aviation Market revenue, By Application, 2016–2026 (USD Million)
14. France Artificial Intelligence In Aviation Market revenue, By Technology, 2016–2026 (USD Million)
15. Germany Artificial Intelligence In Aviation Market revenue, By Application, 2016–2026 (USD Million)
16. Germany Artificial Intelligence In Aviation Market revenue, By Technology, 2016–2026 (USD Million)
17. Rest of Europe Artificial Intelligence In Aviation Market revenue, By Application, 2016–2026 (USD Million)
18. Rest of Europe Artificial Intelligence In Aviation Market revenue, By Technology, 2016–2026 (USD Million)
19. Asia Pacific Artificial Intelligence In Aviation Market revenue, By Application, 2016–2026 (USD Million)
20. Asia Pacific Artificial Intelligence In Aviation Market revenue, By Technology, 2016–2026 (USD Million)
21. China Artificial Intelligence In Aviation Market revenue, By Application, 2016–2026 (USD Million)
22. China Artificial Intelligence In Aviation Market revenue, By Technology, 2016–2026 (USD Million)
23. Japan  Artificial Intelligence In Aviation Market revenue, By Application, 2016–2026 (USD Million)
24. Japan Artificial Intelligence In Aviation Market revenue, By Technology, 2016–2026 (USD Million)
25. India Artificial Intelligence In Aviation Market revenue, By Application, 2016–2026 (USD Million)
26. India Artificial Intelligence In Aviation Market revenue, By Technology, 2016–2026 (USD Million)
27. Rest of Asia Pacific Artificial Intelligence In Aviation Market revenue, By Application, 2016–2026 (USD Million)
28. Rest of Asia Pacific Artificial Intelligence In Aviation Market revenue, By Technology, 2016–2026 (USD Million)
29. Latin America Artificial Intelligence In Aviation Market revenue, By Application, 2016–2026 (USD Million)
30. Latin America Artificial Intelligence In Aviation Market revenue, By Technology, 2016–2026 (USD Million)
31. Brazil Artificial Intelligence In Aviation Market revenue, By Application, 2016–2026 (USD Million)
32. Brazil Artificial Intelligence In Aviation Market revenue, By Technology, 2016–2026 (USD Million)
33. Rest of Latin America Artificial Intelligence In Aviation Market revenue, By Application, 2016–2026 (USD Million)
34. Rest of Latin America Artificial Intelligence In Aviation Market revenue, By Technology, 2016–2026 (USD Million)
35. The Middle East and Africa Artificial Intelligence In Aviation Market revenue, By Application, 2016–2026 (USD Million)
36. The Middle East and Africa Artificial Intelligence In Aviation Market revenue, By Technology, 2016–2026 (USD Million)
37. Saudi Arabia Artificial Intelligence In Aviation Market revenue, By Application, 2016–2026 (USD Million)
38. Saudi Arabia Artificial Intelligence In Aviation Market revenue, By Technology, 2016–2026 (USD Million)
39. South Africa Artificial Intelligence In Aviation Market revenue, By Application, 2016–2026 (USD Million)
40. South Africa Artificial Intelligence In Aviation Market revenue, By Technology, 2016–2026 (USD Million)
41. Rest of the Middle East & Africa Artificial Intelligence In Aviation Market revenue, By Application, 2016–2026 (USD Million)
42. Rest of the Middle East & Africa Artificial Intelligence In Aviation Market revenue, By Technology, 2016–2026 (USD Million)

 
 

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FrequentlyAsked Questions

The expansion of artificial intelligence in aviation industry over the assessment period is owing to use of big data in aviation sector. In addition to this, rise in the terrorist attacks & bombing have resulted in monitoring of bags of travellers and this will further steer the market trends. Apparently, need for passenger identification, recognizing identity thefts, and improving the efficiency of aircraft operations will proliferate the size of artificial intelligence in aviation market over the upcoming years. Furthermore, large-scale funding of AI systems will prompt the demand for artificial intelligence in aviation industry over the assessment period.

Moreover, AI-driven virtual assistants help the airline firms enhance the efficacy of pilots through reduction of monotonous tasks, accurately providing weather forecasts, and providing information about the location of aircrafts to the travellers on board. All these aforementioned aspects will steer the surge of artificial intelligence in aviation market over the predicted timeframe. AI also helps in improving customer services and this will further add to market profitability in the near future.

According to Zion Market Research report, the global Artificial Intelligence In Aviation market, which was estimated at about 120.1 (USD Million) in 2019 and is predicted to accrue earnings worth 2,357.5 (USD Million) by 2026, is set to record a CAGR of nearly over 47% during 2020-2026.  

Asia Pacific is likely to make noteworthy contributions towards overall market revenue. The growth of the industry in the sub-continent over the estimated timespan is attributed to rise in the use of machine learning as well as NLP technologies in aviation industry. Additionally, massive use of AI systems in the countries like China, Singapore, South Korea, Taiwan, and Japan will create lucrative growth opportunities for artificial intelligence in aviation industry across Asia Pacific over the coming decade.

The key players profiled in the report include are Intel Corporation, NVIDIA Corporation, IBM Corporation, Micron Technology, Inc., Samsung, Xilinx, Inc., Amazon.com, Inc., Microsoft Corporation, Airbus SE, The Boeing Company, General Electric Company, Thales Group, Lockheed Martin Corporation, and Garmin Ltd.

 

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