The global artificial intelligence in aviation market size is expected to reach around US$ 8 billion by 2030 and is expected to grow at an impressive double-digit rate of 35.38% from 2022 to 2030.
The rising need for safety and security at airports is significantly boosting the demand for the AI-based computer vision and driving the growth of the global AI in aviation market.
The study includes drivers and restraints of this market. The study provides an analysis of the global artificial intelligence in aviation market for the period 2017-2030, wherein 2022 to 2030 is the forecast period and 2021 is considered as the base year.
Report Scope of the Artificial Intelligence in Aviation Market
| Report Coverage | Details |
| Market Size by 2030 | USD 9,985.86 Million |
| Growth Rate from 2022 to 2030 | CAGR of 35.38% |
| Largest Market | North America |
| Most Opportunistic Market | Asia Pacific |
| Base Year | 2021 |
| Forecast Period | 2022 to 2030 |
| Segments Covered | Offering, Technology, Application, Geography |
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Research Methodology
A unique research methodology has been utilized to conduct comprehensive research on the growth of the global artificial intelligence in aviation market and arrive at conclusions on the future growth prospects of the market. This research methodology is a combination of primary and secondary research, which helps analysts warrant the accuracy and reliability of the draw conclusions. Secondary sources referred to by analysts during the production of the global market report include statistics from company annual reports, SEC filings, company websites, World Bank database, investor presentations, regulatory databases, government publications, and industry white papers. Analysts have also interviewed senior managers, product portfolio managers, CEOs, VPs, and market intelligence managers, who contributed to the production of our study on the market as a primary source.
These primary and secondary sources provided exclusive information during interviews, which serves as a validation from mattress topper industry leaders. Access to an extensive internal repository and external proprietary databases allows this report to address specific details and questions about the global artificial intelligence in aviation market with accuracy. The study also uses the top-down approach to assess the numbers for each segment and the bottom-up approach to counter-validate them. This has helped to estimates the future prospects of the global market more reliable and accurate.
Why should you invest in this report?
If you are aiming to enter the global artificial intelligence in aviation market, this report is a comprehensive guide that provides crystal clear insights into this niche market. All the major application areas for artificial intelligence in aviation are covered in this report and information is given on the important regions of the world where this market is likely to boom during the forecast period of 2022-2030, so that you can plan your strategies to enter this market accordingly.
Besides, through this report, you can have a complete grasp of the level of competition you will be facing in this hugely competitive market and if you are an established player in this market already, this report will help you gauge the strategies that your competitors have adopted to stay as market leaders in this market. For new entrants to this market, the voluminous data provided in this report is invaluable.
Some of the prominent players in the global artificial intelligence in aviation market include:
- Samsung Electronics
- Intel
- Xilinx
- Thales
- IBM
- Amazon
- Nvidia
- Microsoft
- Garmin
- Lockheed Martin
Market Segmentation:
By Offering
- Hardware
- Software
- Services
By Technology
- Machine Learning
- Context Awareness Computing
- Natural Language Processing
- Computer Vision
- Others
By Application
- Smart Maintenance
- Training
- Manufacturing
- Flight Operations
- Virtual Assistants
- Dynamic Pricing
- Surveillance
- Others
Regional Analysis:
The geographical analysis of the global artificial intelligence in aviation market has been done for North America, Europe, Asia-Pacific, and the Rest of the World.
The North American Market is again segmented into the US, Canada, and Mexico. Coming to the European Market, it can be segmented further into the UK, Germany, France, Italy, Spain, and the rest. Coming to the Asia-Pacific, the global artificial intelligence in aviation Market is segmented into China, India, Japan, and Rest of Asia Pacific. Among others, the market is segmented into the Middle East and Africa, (GCC, North Africa, South Africa and Rest of the Middle East & Africa).
Key Questions Answered by the Report:
- What will be the size of the global artificial intelligence in aviation market in 2030?
- What is the expected CAGR for the artificial intelligence in aviation market between 2021 and 2030?
- Which are the top players active in this global market?
- What are the key drivers of this global market?
- How will the market situation change in the coming years?
- Which region held the highest market share in this global market?
- What are the common business tactics adopted by players?
- What is the growth outlook of the global artificial intelligence in aviation market?
TABLE OF CONTENT
Chapter 1. Introduction
1.1. Research Objective
1.2. Scope of the Study
1.3. Definition
Chapter 2. Research Methodology
2.1. Research Approach
2.2. Data Sources
2.3. Assumptions & Limitations
Chapter 3. Executive Summary
3.1. Market Snapshot
Chapter 4. Market Variables and Scope
4.1. Introduction
4.2. Market Classification and Scope
4.3. Industry Value Chain Analysis
4.3.1. Raw Material Procurement Analysis
4.3.2. Sales and Distribution Channel Analysis
4.3.3. Downstream Buyer Analysis
Chapter 5. COVID 19 Impact on Artificial Intelligence in Aviation Market
5.1. COVID-19 Landscape: Artificial Intelligence in Aviation Industry Impact
5.2. COVID 19 - Impact Assessment for the Industry
5.3. COVID 19 Impact: Global Major Government Policy
5.4. Market Trends and Opportunities in the COVID-19 Landscape
Chapter 6. Market Dynamics Analysis and Trends
6.1. Market Dynamics
6.1.1. Market Drivers
6.1.2. Market Restraints
6.1.3. Market Opportunities
6.2. Porter’s Five Forces Analysis
6.2.1. Bargaining power of suppliers
6.2.2. Bargaining power of buyers
6.2.3. Threat of substitute
6.2.4. Threat of new entrants
6.2.5. Degree of competition
Chapter 7. Competitive Landscape
7.1.1. Company Market Share/Positioning Analysis
7.1.2. Key Strategies Adopted by Players
7.1.3. Vendor Landscape
7.1.3.1. List of Suppliers
7.1.3.2. List of Buyers
Chapter 8. Global Artificial Intelligence in Aviation Market, By Offering
8.1. Artificial Intelligence in Aviation Market, by Offering, 2022-2030
8.1.1 Hardware
8.1.1.1. Market Revenue and Forecast (2017-2030)
8.1.2. Software
8.1.2.1. Market Revenue and Forecast (2017-2030)
8.1.3. Services
8.1.3.1. Market Revenue and Forecast (2017-2030)
Chapter 9. Global Artificial Intelligence in Aviation Market, By Technology
9.1. Artificial Intelligence in Aviation Market, by Technology, 2022-2030
9.1.1. Machine Learning
9.1.1.1. Market Revenue and Forecast (2017-2030)
9.1.2. Context Awareness Computing
9.1.2.1. Market Revenue and Forecast (2017-2030)
9.1.3. Natural Language Processing
9.1.3.1. Market Revenue and Forecast (2017-2030)
9.1.4. Computer Vision
9.1.4.1. Market Revenue and Forecast (2017-2030)
9.1.5. Others
9.1.5.1. Market Revenue and Forecast (2017-2030)
Chapter 10. Global Artificial Intelligence in Aviation Market, By Application
10.1. Artificial Intelligence in Aviation Market, by Application, 2022-2030
10.1.1. Smart Maintenance
10.1.1.1. Market Revenue and Forecast (2017-2030)
10.1.2. Training
10.1.2.1. Market Revenue and Forecast (2017-2030)
10.1.3. Manufacturing
10.1.3.1. Market Revenue and Forecast (2017-2030)
10.1.4. Flight Operations
10.1.4.1. Market Revenue and Forecast (2017-2030)
10.1.5. Virtual Assistants
10.1.5.1. Market Revenue and Forecast (2017-2030)
10.1.6. Dynamic Pricing
10.1.5.1. Market Revenue and Forecast (2017-2030)
10.1.7. Surveillance
10.1.7.1. Market Revenue and Forecast (2017-2030)
10.1.8. Others
10.1.8.1. Market Revenue and Forecast (2017-2030)
Chapter 11. Global Artificial Intelligence in Aviation Market, Regional Estimates and Trend Forecast
11.1. North America
11.1.1. Market Revenue and Forecast, by Offering (2017-2030)
11.1.2. Market Revenue and Forecast, by Technology (2017-2030)
11.1.3. Market Revenue and Forecast, by Application (2017-2030)
11.1.4. U.S.
11.1.4.1. Market Revenue and Forecast, by Offering (2017-2030)
11.1.4.2. Market Revenue and Forecast, by Technology (2017-2030)
11.1.4.3. Market Revenue and Forecast, by Application (2017-2030)
11.1.5. Rest of North America
11.1.5.1. Market Revenue and Forecast, by Offering (2017-2030)
11.1.5.2. Market Revenue and Forecast, by Technology (2017-2030)
11.1.5.3. Market Revenue and Forecast, by Application (2017-2030)
11.2. Europe
11.2.1. Market Revenue and Forecast, by Offering (2017-2030)
11.2.2. Market Revenue and Forecast, by Technology (2017-2030)
11.2.3. Market Revenue and Forecast, by Application (2017-2030)
11.2.4. UK
11.2.4.1. Market Revenue and Forecast, by Offering (2017-2030)
11.2.4.2. Market Revenue and Forecast, by Technology (2017-2030)
11.2.4.3. Market Revenue and Forecast, by Application (2017-2030)
11.2.5. Germany
11.2.5.1. Market Revenue and Forecast, by Offering (2017-2030)
11.2.5.2. Market Revenue and Forecast, by Technology (2017-2030)
11.2.5.3. Market Revenue and Forecast, by Application (2017-2030)
11.2.6. France
11.2.6.1. Market Revenue and Forecast, by Offering (2017-2030)
11.2.6.2. Market Revenue and Forecast, by Technology (2017-2030)
11.2.6.3. Market Revenue and Forecast, by Application (2017-2030)
11.2.7. Rest of Europe
11.2.7.1. Market Revenue and Forecast, by Offering (2017-2030)
11.2.7.2. Market Revenue and Forecast, by Technology (2017-2030)
11.2.7.3. Market Revenue and Forecast, by Application (2017-2030)
11.3. APAC
11.3.1. Market Revenue and Forecast, by Offering (2017-2030)
11.3.2. Market Revenue and Forecast, by Technology (2017-2030)
11.3.3. Market Revenue and Forecast, by Application (2017-2030)
11.3.4. India
11.3.4.1. Market Revenue and Forecast, by Offering (2017-2030)
11.3.4.2. Market Revenue and Forecast, by Technology (2017-2030)
11.3.4.3. Market Revenue and Forecast, by Application (2017-2030)
11.3.5. China
11.3.5.1. Market Revenue and Forecast, by Offering (2017-2030)
11.3.5.2. Market Revenue and Forecast, by Technology (2017-2030)
11.3.5.3. Market Revenue and Forecast, by Application (2017-2030)
11.3.6. Japan
11.3.6.1. Market Revenue and Forecast, by Offering (2017-2030)
11.3.6.2. Market Revenue and Forecast, by Technology (2017-2030)
11.3.6.3. Market Revenue and Forecast, by Application (2017-2030)
11.3.7. Rest of APAC
11.3.7.1. Market Revenue and Forecast, by Offering (2017-2030)
11.3.7.2. Market Revenue and Forecast, by Technology (2017-2030)
11.3.7.3. Market Revenue and Forecast, by Application (2017-2030)
11.4. MEA
11.4.1. Market Revenue and Forecast, by Offering (2017-2030)
11.4.2. Market Revenue and Forecast, by Technology (2017-2030)
11.4.3. Market Revenue and Forecast, by Application (2017-2030)
11.4.4. GCC
11.4.4.1. Market Revenue and Forecast, by Offering (2017-2030)
11.4.4.2. Market Revenue and Forecast, by Technology (2017-2030)
11.4.4.3. Market Revenue and Forecast, by Application (2017-2030)
11.4.5. North Africa
11.4.5.1. Market Revenue and Forecast, by Offering (2017-2030)
11.4.5.2. Market Revenue and Forecast, by Technology (2017-2030)
11.4.5.3. Market Revenue and Forecast, by Application (2017-2030)
11.4.6. South Africa
11.4.6.1. Market Revenue and Forecast, by Offering (2017-2030)
11.4.6.2. Market Revenue and Forecast, by Technology (2017-2030)
11.4.6.3. Market Revenue and Forecast, by Application (2017-2030)
11.4.7. Rest of MEA
11.4.7.1. Market Revenue and Forecast, by Offering (2017-2030)
11.4.7.2. Market Revenue and Forecast, by Technology (2017-2030)
11.4.7.3. Market Revenue and Forecast, by Application (2017-2030)
11.5. Latin America
11.5.1. Market Revenue and Forecast, by Offering (2017-2030)
11.5.2. Market Revenue and Forecast, by Technology (2017-2030)
11.5.3. Market Revenue and Forecast, by Application (2017-2030)
11.5.4. Brazil
11.5.4.1. Market Revenue and Forecast, by Offering (2017-2030)
11.5.4.2. Market Revenue and Forecast, by Technology (2017-2030)
11.5.4.3. Market Revenue and Forecast, by Application (2017-2030)
11.5.5. Rest of LATAM
11.5.5.1. Market Revenue and Forecast, by Offering (2017-2030)
11.5.5.2. Market Revenue and Forecast, by Technology (2017-2030)
11.5.5.3. Market Revenue and Forecast, by Application (2017-2030)
Chapter 12. Company Profiles
12.1. Alibaba Group Holdings Limited
12.1.1. Company Overview
12.1.2. Product Offerings
12.1.3. Financial Performance
12.1.4. Recent Initiatives
12.2. Google LLC
12.2.1. Company Overview
12.2.2. Product Offerings
12.2.3. Financial Performance
12.2.4. Recent Initiatives
12.3. Baidu Inc
12.3.1. Company Overview
12.3.2. Product Offerings
12.3.3. Financial Performance
12.3.4. Recent Initiatives
12.4. Amazon Web Services, Inc
12.4.1. Company Overview
12.4.2. Product Offerings
12.4.3. Financial Performance
12.4.4. Recent Initiatives
12.5. International Business Machines Corp
12.5.1. Company Overview
12.5.2. Product Offerings
12.5.3. Financial Performance
12.5.4. Recent Initiatives
12.6. Verizon Communications Inc
12.6.1. Company Overview
12.6.2. Product Offerings
12.6.3. Financial Performance
12.6.4. Recent Initiatives
12.7. Facebook Inc
12.7.1. Company Overview
12.7.2. Product Offerings
12.7.3. Financial Performance
12.7.4. Recent Initiatives
12.8. Twitter Inc
12.8.1. Company Overview
12.8.2. Product Offerings
12.8.3. Financial Performance
12.8.4. Recent Initiatives
12.9. Hulu LLC
12.9.1. Company Overview
12.9.2. Product Offerings
12.9.3. Financial Performance
12.9.4. Recent Initiatives
12.10. Microsoft corporation
12.10.1. Company Overview
12.10.2. Product Offerings
12.10.3. Financial Performance
12.10.4. Recent Initiatives
Chapter 13. Research Methodology
13.1. Primary Research
13.2. Secondary Research
13.3. Assumptions
Chapter 14. Appendix
14.1. About Us
14.2. Glossary of Terms
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