by According to Precedence Research, during the forecast period of 2022 to 2030, the global artificial intelligence in aviation market is estimated to develop at a compound annual growth rate (CAGR) of 35.38%. The global artificial intelligence in aviation market was valued at USD 653.74 million in 2021, and it is predicted to exceed USD 9,985.86 million by 2030. The study investigates several elements and their consequences on the growth of the artificial intelligence in aviation market.
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This report focuses on artificial intelligence in aviation market volume and value at the global level, regional level and company level. From a global perspective, this report represents overall artificial intelligence in aviation market size by analyzing historical data and future prospect. Regionally, this report focuses on several key regions: North America, Europe, Middle East & Africa, Latin America, etc.
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 |
The research report includes specific segments by region (country), by company, by all segments. This study provides information about the growth and revenue during the historic and forecasted period of 2017 to 2030. Understanding the segments helps in identifying the importance of different factors that aid the market growth.
In-Depth Analysis on Competitive Landscape
The report sheds light on leading manufacturers of artificial intelligence in aviation, along with their detailed profiles. Essential and up-to-date data related to market performers who are principally engaged in the production of artificial intelligence in aviation has been brought with the help of a detailed dashboard view. Market share analysis and comparison of prominent players provided in the report permits report readers to take preemptive steps in advancing their businesses.
Company profiles have been included in the report, which include essentials such as product portfolio, key strategies, along with all-inclusive SWOT analysis on each player. Company presence is mapped and presented through a matrix for all the prominent players, thus providing readers with actionable insights, which helps in thoughtfully presenting market status and predicting the competition level in the artificial intelligence in aviation market.
Some of the prominent players in the artificial intelligence in aviation market include:
- Samsung Electronics
- Intel
- Xilinx
- Thales
- IBM
- Amazon
- Nvidia
- Microsoft
- Garmin
- Lockheed Martin
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Segments Covered in the Report
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 Segmentation
- Asia-Pacific [China, Southeast Asia, India, Japan, Korea, Western Asia]
- Europe [Germany, UK, France, Italy, Russia, Spain, Netherlands, Turkey, Switzerland]
- North America [United States, Canada, Mexico]
- South America [Brazil, Argentina, Columbia, Chile, Peru]
- Middle East & Africa [GCC, North Africa, South Africa]
Some of the important ones are:
- What can be the best investment choices for venturing into new product and service lines?
- What value propositions should businesses aim at while making new research and development funding?
- Which regulations will be most helpful for stakeholders to boost their supply chain network?
- Which regions might see the demand maturing in certain segments in near future?
- What are the some of the best cost optimization strategies with vendors that some well-entrenched players have gained success with?
- Which are the key perspectives that the C-suite are leveraging to move businesses to new growth trajectory?
- Which government regulations might challenge the status of key regional markets?
- How will the emerging political and economic scenario affect opportunities in key growth areas?
- What are some of the value-grab opportunities in various segments?
- What will be the barrier to entry for new players in the market?
Table of Contents
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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