Artificial Intelligence (AI) in Aviation Market Size, Share 2021-2028
The report analyzes and forecasts the Artificial Intelligence (AI) in Aviation Market at global and regional levels. The market has been forecast based on volume (Tons) and value (US$ Mn) from 2022 to 2030. The study includes drivers and restraints of the global market. It covers the impact of these drivers and restraints on the demand during the forecast period. The report also highlights opportunities in the market at the global level.
The report comprises a detailed value chain analysis, which provides a comprehensive view of the global Artificial Intelligence (AI) in Aviation Market. The Porter’s Five Forces model has also been included to help understand the competitive landscape of the market. The study encompasses market attractiveness analysis, wherein various applications have been benchmarked based on their market size, growth rate, and general attractiveness.
The study provides a decisive view of the Artificial Intelligence (AI) in Aviation Market by segmenting it in terms of form and application. The segment has been analyzed based on the present and future trends. Regional segmentation includes the current and projected demand in North America, Europe, Asia Pacific, Latin America, and Middle East & Africa.
The report provides size (in terms of volume and value) of Artificial Intelligence (AI) in Aviation Market for the base year 2020 and the forecast between 2021 and 2028. Market numbers have been estimated based on form and application. Market size and forecast for each application segment have been provided for the global and regional market.
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In-depth interviews and discussions were conducted with several key market participants and opinion leaders to compile the research report. Primary research represents a bulk of research efforts, supplemented by extensive secondary research.
Annual reports, press releases, and relevant documents of key players operating in various application areas have been reviewed for competition analysis and market understanding. Secondary research also includes recent trends, technical writing, Internet sources, and statistical data from government websites, trade associations, and agencies. These have proved to be reliable, effective, and successful approaches for obtaining precise market data, capturing market participants’ insights, and recognizing business opportunities.
Market Players as below:
Some of the key players offered in the report include Airbus SE, Amazon, Boeing, Garmin Ltd., General Electric, IBM Corporation, Intel Corporation, Lockheed Martin, Micron Technology, MiSmart Maintenanceoft, MINDTITAN, Neurala, Inc. NVIDIA corporation, Samsung Electronics, TAV Technologies, Thales Group, and Xilinx among others.
The major market segments of Artificial Intelligence (AI) in Aviation Market are as below:
Market By Offering
- Hardware
- Software
- Services
Market By Application
- Virtual Assistants
- Smart Maintenance
- Manufacturing
- Training
- Surveillance
- Flight Operations
- Dynamic Pricing
Market By Technology
- Machine Learning
- Natural Language Processing
- Context Awareness Computing
- Computer Vision
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Table Of Contents:
CHAPTER 1. Industry Overview of Artificial Intelligence (AI) in Aviation
1.1. Definition and Scope
1.1.1. Definition of Artificial Intelligence (AI) in Aviation
1.1.2. Market Segmentation
1.1.3. Years Considered for the Study
1.1.4. Assumptions and Acronyms Used
1.1.4.1. Market Assumptions and Market Forecast
1.1.4.2. Acronyms Used in Global Artificial Intelligence (AI) in Aviation market
1.2. Summary
1.2.1. Executive Summary
1.2.2. Artificial Intelligence (AI) in Aviation By Offering
1.2.3. Artificial Intelligence (AI) in Aviation By Application
1.2.4. Artificial Intelligence (AI) in Aviation By Deployment Model
1.2.5. Artificial Intelligence (AI) in Aviation by Regions
CHAPTER 2. Research Approach
2.1. Methodology
2.1.1. Research Programs
2.1.2. Market Size Estimation
2.1.3. Market Breakdown and Data Triangulation
2.2. Data Source
2.2.1. Secondary Sources
2.2.2. Primary Sources
CHAPTER 3. Market Dynamics And Competition Analysis
3.1. Market Drivers
3.1.1. Driver 1
3.1.2. Driver 2
3.2. Restraints and Challenges
3.2.1. Restrain 1
3.2.2. Restrain 2
3.3. Growth Opportunities
3.3.1. Opportunity 1
3.3.2. Opportunity 2
3.4. Porter’s Five Forces Analysis
3.4.1. Bargaining Power of Suppliers
3.4.2. Bargaining Power of Buyers
3.4.3. Threat of Substitute
3.4.4. Threat of New Entrants
3.4.5. Degree of Competition
3.5. Market Concentration Ratio and Market Maturity Analysis of Artificial Intelligence (AI) in Aviation Market
3.5.1. Go To Market Strategy
3.5.1.1. Introduction
3.5.1.2. Growth
3.5.1.3. Maturity
3.5.1.4. Saturation
3.5.1.5. Possible Development
3.6. Technological Roadmap for Artificial Intelligence (AI) in Aviation Market
3.7. Value Chain Analysis
3.7.1. List of Key Manufacturers
3.7.2. List of Customers
3.7.3. Level of Integration
3.8. Regulatory Compliance
3.9. Competitive Landscape, 2020
3.9.1. Player Positioning Analysis
3.9.2. Key Strategies Adopted By Leading Players
CHAPTER 4. Artificial Intelligence (AI) in Aviation By Offering
4.1. Introduction
4.2. Artificial Intelligence (AI) in Aviation Revenue By Offering
4.2.1. Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast, By Offering, 2017-2028
4.2.2. Hardware
4.2.2.1. Hardware Market Revenue (US$ Mn) and Growth Rate (%), 2017-2028
4.2.3. Software
4.2.3.1. Software Market Revenue (US$ Mn) and Growth Rate (%), 2017-2028
4.2.4. Services
4.2.4.1. Services Market Revenue (US$ Mn) and Growth Rate (%), 2017-2028
CHAPTER 5. Artificial Intelligence (AI) in Aviation Market Revenue By Application
5.1. Introduction
5.2. Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) By Application
5.2.1. Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Application, 2017-2028
5.2.2. Virtual Assistants
5.2.2.1. Virtual Assistants Market Revenue (US$ Mn) and Growth Rate (%), 2017-2028
5.2.3. Smart Maintenance
5.2.3.1. Smart Maintenance Market Revenue (US$ Mn) and Growth Rate (%), 2017-2028
5.2.4. Manufacturing
5.2.4.1. Manufacturing Market Revenue (US$ Mn) and Growth Rate (%), 2017-2028
5.2.5. Training
5.2.5.1. Training Market Revenue (US$ Mn) and Growth Rate (%), 2017-2028
5.2.6. Surveillance
5.2.6.1. Surveillance Market Revenue (US$ Mn) and Growth Rate (%), 2017-2028
5.2.7. Flight Operations
5.2.7.1. Flight Operations Market Revenue (US$ Mn) and Growth Rate (%), 2017-2028
5.2.8. Dynamic Pricing
5.2.8.1. Dynamic Pricing Market Revenue (US$ Mn) and Growth Rate (%), 2017-2028
5.2.9. Others
5.2.9.1. Others Market Revenue (US$ Mn) and Growth Rate (%), 2017-2028
CHAPTER 6. Artificial Intelligence (AI) in Aviation Market By Technology
6.1. Introduction
6.2. Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) By Deployment Model
6.2.1. Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Deployment Model, 2017-2028
6.2.2. Machine Learning
6.2.2.1. Machine Learning Market Revenue (US$ Mn) and Growth Rate (%), 2017-2028
6.2.3. Natural Language Processing
6.2.3.1. Natural Language Processing Market Revenue (US$ Mn) and Growth Rate (%), 2017-2028
6.2.4. Context Awareness Computing
6.2.4.1. Context Awareness Computing Market Revenue (US$ Mn) and Growth Rate (%), 2017-2028
6.2.5. Computer Vision
6.2.5.1. Computer Vision Market Revenue (US$ Mn) and Growth Rate (%), 2017-2028
CHAPTER 7. Artificial Intelligence (AI) in Aviation Market By Deployment Model
7.1. Introduction
7.2. Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) By Deployment Model
7.2.1. Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Deployment Model, 2017-2028
7.2.2. Cloud-Based
7.2.2.1. Cloud-Based Market Revenue (US$ Mn) and Growth Rate (%), 2017-2028
7.2.3. On-Premise
7.2.3.1. On-Premise Market Revenue (US$ Mn) and Growth Rate (%), 2017-2028
CHAPTER 8. North America Artificial Intelligence (AI) in Aviation Market By Country
8.1. North America Artificial Intelligence (AI) in Aviation Overview
8.2. U.S.
8.2.1. U.S. Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Offering, 2017-2028
8.2.2. U.S. Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Application, 2017-2028
8.2.3. U.S. Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Technology, 2017-2028
8.3. Canada
8.3.1. Canada Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Offering, 2017-2028
8.3.2. Canada Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Application, 2017-2028
8.3.3. Canada Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Technology, 2017-2028
8.4. North America PEST Analysis
CHAPTER 9. Europe Artificial Intelligence (AI) in Aviation Market By Country
9.1. Europe Artificial Intelligence (AI) in Aviation Overview
9.2. U.K.
9.2.1. U.K. Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Offering, 2017-2028
9.2.2. U.K. Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Application, 2017-2028
9.2.3. U.K. Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Technology, 2017-2028
9.3. Germany
9.3.1. Germany Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Offering, 2017-2028
9.3.2. Germany Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Application, 2017-2028
9.3.3. Germany Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Technology, 2017-2028
9.4. France
9.4.1. France Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Offering, 2017-2028
9.4.2. France Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Application, 2017-2028
9.4.3. France Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Technology, 2017-2028
9.5. Spain
9.5.1. Spain Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Offering, 2017-2028
9.5.2. Spain Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Application, 2017-2028
9.5.3. Spain Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Technology, 2017-2028
9.6. Rest of Europe
9.6.1. Rest of Europe Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Offering, 2017-2028
9.6.2. Rest of Europe Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Application, 2017-2028
9.6.3. Rest of Europe Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Technology, 2017-2028
9.7. Europe PEST Analysis
CHAPTER 10. Asia Pacific Artificial Intelligence (AI) in Aviation Market By Country
10.1. Asia Pacific Artificial Intelligence (AI) in Aviation Overview
10.2. China
10.2.1. China Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Offering, 2017-2028
10.2.2. China Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Application, 2017-2028
10.2.3. China Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Technology, 2017-2028
10.3. Japan
10.3.1. Japan Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Offering, 2017-2028
10.3.2. Japan Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Application, 2017-2028
10.3.3. Japan Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Technology, 2017-2028
10.4. India
10.4.1. India Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Offering, 2017-2028
10.4.2. India Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Application, 2017-2028
10.4.3. India Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Technology, 2017-2028
10.5. Australia
10.5.1. Australia Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Offering, 2017-2028
10.5.2. Australia Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Application, 2017-2028
10.5.3. Australia Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Technology, 2017-2028
10.6. South Korea
10.6.1. South Korea Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Offering, 2017-2028
10.6.2. South Korea Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Application, 2017-2028
10.6.3. South Korea Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Technology, 2017-2028
10.7. Rest of Asia-Pacific
10.7.1. Rest of Asia-Pacific Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Offering, 2017-2028
10.7.2. Rest of Asia-Pacific Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Application, 2017-2028
10.7.3. Rest of Asia-Pacific Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Technology, 2017-2028
10.8. Asia Pacific PEST Analysis
CHAPTER 11. Latin America Artificial Intelligence (AI) in Aviation Market By Country
11.1. Latin America Artificial Intelligence (AI) in Aviation Overview
11.2. Brazil
11.2.1. Brazil Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Offering, 2017-2028
11.2.2. Brazil Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Application, 2017-2028
11.2.3. Brazil Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Technology, 2017-2028
11.3. Mexico
11.3.1. Mexico Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Offering, 2017-2028
11.3.2. Mexico Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Application, 2017-2028
11.3.3. Mexico Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Technology, 2017-2028
11.4. Rest of Latin America
11.4.1. Rest of Latin America Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Offering, 2017-2028
11.4.2. Rest of Latin America Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Application, 2017-2028
11.4.3. Rest of Latin America Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Technology, 2017-2028
11.5. Latin America PEST Analysis
CHAPTER 12. Middle East & Africa Artificial Intelligence (AI) in Aviation Market By Country
12.1. Middle East & Africa Artificial Intelligence (AI) in Aviation Overview
12.2. GCC
12.2.1. GCC Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Offering, 2017-2028
12.2.2. GCC Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Application, 2017-2028
12.2.3. GCC Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Technology, 2017-2028
12.3. South Africa
12.3.1. South Africa Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Offering, 2017-2028
12.3.2. South Africa Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Application, 2017-2028
12.3.3. South Africa Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Technology, 2017-2028
12.4. Rest of Middle East & Africa
12.4.1. Rest of Middle East & Africa Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Offering, 2017-2028
12.4.2. Rest of Middle East & Africa Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Application, 2017-2028
12.4.3. Rest of Middle East & Africa Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Technology, 2017-2028
12.5. Middle East & Africa PEST Analysis
CHAPTER 13. Player Analysis Of Artificial Intelligence (AI) in Aviation
13.1. Artificial Intelligence (AI) in Aviation Company Share Analysis
13.2. Competition Matrix
13.2.1. Competitive Benchmarking of key players by price, presence, market share, and R&D investment
13.2.2. New Product Launches and Product Enhancements
13.2.3. Mergers And Acquisition In Global Artificial Intelligence (AI) in Aviation market
13.2.4. Partnership, Joint Ventures and Strategic Alliances/ Sales Agreements
CHAPTER 14. COMPANY PROFILE
14.1. Airbus SE
14.1.1. Company Snapshot
14.1.2. Business Overview
14.1.3. Financial Overview
14.1.3.1. Revenue (US$ Mn), 2020
14.1.3.2. Airbus SE2019 Artificial Intelligence (AI) in Aviation Business Regional Distribution
14.1.4. Product/Service and Specification
14.1.5. Recent Developments & Business Strategy
14.1.6. Manufacturing Plant Footprint Analysis
14.2. Amazon
14.3. Boeing
14.4. Garmin Ltd.
14.5. General Electric
14.6. IBM CORPORATION
14.7. Intel Corporation
14.8. Lockheed Martin
14.9. Micron Technology
14.10. Microsoft Corporation
14.11. MINDTITAN
14.12. Neurala, Inc.
14.13. NVIDIA CORPORATION
14.14. Samsung Electronics
14.15. TAV Technologie
14.16. Thales Group
14.17. Xilinx
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