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Artificial Intelligence in Commercial Airline Market: Global Industry Analysis, Trends, Market Size, and Forecasts up to 2027

  • Report

  • 100 Pages
  • August 2021
  • Region: Global
  • Infinium Global Research
  • ID: 5438530

The report on the global artificial intelligence in commercial airline market provides qualitative and quantitative analysis for the period from 2019 to 2027. The report predicts the global artificial intelligence in commercial airline market to grow with a robust CAGR over the forecast period from 2021-2027. The study on artificial intelligence in commercial airline market covers the analysis of the leading geographies such as North America, Europe, Asia-Pacific, and RoW for the period of 2019 to 2027.



The report on artificial intelligence in commercial airline market is a comprehensive study and presentation of drivers, restraints, opportunities, demand factors, market size, forecasts, and trends in the global artificial intelligence in commercial airline market over the period of 2019 to 2027. Moreover, the report is a collective presentation of primary and secondary research findings.



Porter's five forces model in the report provides insights into the competitive rivalry, supplier and buyer positions in the market and opportunities for the new entrants in the global artificial intelligence in commercial airline market over the period of 2019 to 2027. Further, Growth Matrix gave in the report brings an insight into the investment areas that existing or new market players can consider.



Report Findings


1) Drivers

  • Growing investment in artificial intelligence by airlines
  • Increasing adoption of automation, and industry 4.0 initiatives

2) Restraints

  • Lack of awareness, and training regarding ai among the workforce

3) Opportunities

  • Adoption of advanced technologies to lower the impact of covid-19

Research Methodology


A) Primary Research


The primary research involves extensive interviews and analysis of the opinions provided by the primary respondents. The primary research starts with identifying and approaching the primary respondents, the primary respondents are approached include


1. Key Opinion Leaders
2. Internal and External subject matter experts
3. Professionals and participants from the industry

The primary research respondents typically include;

1. Executives working with leading companies in the market under review
2. Product/brand/marketing managers
3. CXO level executives
4. Regional/zonal/country managers
5. Vice President level executives.

B) Secondary Research


Secondary research involves extensive exploring through the secondary sources of information available in both the public domain and paid sources. Each research study is based on over 500 hours of secondary research accompanied by primary research. The information obtained through the secondary sources is validated through the crosscheck on various data sources.



The secondary sources of the data typically include;

1. Company reports and publications
2. Government/institutional publications
3. Trade and associations journals
4. Databases such as WTO, OECD, World Bank, and among others.
5. Websites and publications by research agencies

Segment Covered


The global artificial intelligence in commercial airline market is segmented on the basis of offering, solution, and technology.



The Global Artificial Intelligence in Commercial Airline Market by Offering

  • Hardware
  • Software
  • Services

The Global Artificial Intelligence in Commercial Airline Market by Solution

  • Predictive Maintenance
  • Revenue Management
  • Workforce Optimization
  • Fuel Consumption Optimization
  • Others

The Global Artificial Intelligence in Commercial Airline Market by Technology

  • Machine Learning
  • Natural Language Processing
  • Context Awareness Computing
  • Computer Vision

Company Profiles


The companies covered in the report include


  • Amazon Web Services, Inc.
  • IBM Corporation
  • Microsoft Corporation
  • NVIDIA Corporation
  • Micron Technology, Inc.
  • Airbus S.A.S.
  • Boeing Company
  • Garmin Ltd.
  • Lockheed Martin Corporation
  • Thales Group

What does this Report Deliver?

1. Comprehensive analysis of the global as well as regional markets of the artificial intelligence in commercial airline market.
2. Complete coverage of all the segments in the artificial intelligence in commercial airline market to analyze the trends, developments in the global market and forecast of market size up to 2027.
3. Comprehensive analysis of the companies operating in the global artificial intelligence in commercial airline market. The company profile includes analysis of product portfolio, revenue, SWOT analysis and latest developments of the company.
4. Growth Matrix presents an analysis of the product segments and geographies that market players should focus to invest, consolidate, expand and/or diversify.

This product will be delivered within 1-3 business days.

Table of Contents

1. Preface
1.1. Report Description
1.2. Research Methods
1.3. Research Approaches
2. Executive Summary
2.1. Artificial Intelligence in Commercial Airline Market Highlights
2.2. Artificial Intelligence in Commercial Airline Market Projection
2.3. Artificial Intelligence in Commercial Airline Market Regional Highlights
3. Global Artificial Intelligence in Commercial Airline Market Overview
3.1. Introduction
3.2. Market Dynamics
3.2.1. Drivers
3.2.2. Restraints
3.2.3. Opportunities
3.3. Analysis of COVID-19 impact on the Artificial Intelligence in Commercial Airline Market
3.4. Porter's Five Forces Analysis
3.5. Growth Matrix Analysis
3.5.1. Growth Matrix Analysis by Offering
3.5.2. Growth Matrix Analysis by Solution
3.5.3. Growth Matrix Analysis by Technology
3.5.4. Growth Matrix Analysis by Region
3.6. Value Chain Analysis of Artificial Intelligence in Commercial Airline Market
4. Artificial Intelligence in Commercial Airline Market Macro Indicator Analysis
5. Global Artificial Intelligence in Commercial Airline Market by Offering
5.1. Hardware
5.2. Software
5.3. Services
6. Global Artificial Intelligence in Commercial Airline Market by Solution
6.1. Predictive Maintenance
6.2. Revenue Management
6.3. Workforce Optimization
6.4. Fuel Consumption Optimization
6.5. Others
7. Global Artificial Intelligence in Commercial Airline Market by Technology
7.1. Machine Learning
7.2. Natural Language Processing
7.3. Context Awareness Computing
7.4. Computer Vision
8. Global Artificial Intelligence in Commercial Airline Market by Region 2021-2027
8.1. North America
8.1.1. North America Artificial Intelligence in Commercial Airline Market by Offering
8.1.2. North America Artificial Intelligence in Commercial Airline Market by Solution
8.1.3. North America Artificial Intelligence in Commercial Airline Market by Technology
8.1.4. North America Artificial Intelligence in Commercial Airline Market by Country
8.2. Europe
8.2.1. Europe Artificial Intelligence in Commercial Airline Market by Offering
8.2.2. Europe Artificial Intelligence in Commercial Airline Market by Solution
8.2.3. Europe Artificial Intelligence in Commercial Airline Market by Technology
8.2.4. Europe Artificial Intelligence in Commercial Airline Market by Country
8.3. Asia-Pacific
8.3.1. Asia-Pacific Artificial Intelligence in Commercial Airline Market by Offering
8.3.2. Asia-Pacific Artificial Intelligence in Commercial Airline Market by Solution
8.3.3. Asia-Pacific Artificial Intelligence in Commercial Airline Market by Technology
8.3.4. Asia-Pacific Artificial Intelligence in Commercial Airline Market by Country
8.4. RoW
8.4.1. RoW Artificial Intelligence in Commercial Airline Market by Offering
8.4.2. RoW Artificial Intelligence in Commercial Airline Market by Solution
8.4.3. RoW Artificial Intelligence in Commercial Airline Market by Technology
8.4.4. RoW Artificial Intelligence in Commercial Airline Market by Sub-region
9. Company Profiles and Competitive Landscape
9.1. Competitive Landscape in the Global Artificial Intelligence in Commercial Airline Market
9.2. Companies Profiled
9.2.1. Amazon Web Services, Inc.
9.2.2. IBM Corporation
9.2.3. Microsoft Corporation
9.2.4. NVIDIA Corporation
9.2.5. Micron Technology, Inc.
9.2.6. Airbus S.A.S.
9.2.7. Boeing Company
9.2.8. Garmin Ltd.
9.2.9. Lockheed Martin Corporation
9.2.10. Thales Group