Artificial Intelligence In Aviation Market In-depth Research covering sales outlook, demand forecast & up-to-date key trends
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The global Artificial Intelligence In Aviation market is expected to grow at a CAGR of 27.5% during the forecast period.
The global Artificial Intelligence In Aviation market is estimated to be about 164.4 million US dollars in 2020.
The global Artificial Intelligence In Aviation market is estimated to reach 434.3 million USD by 2026.
The global Artificial Intelligence In Aviation market is segmented by company, region (country), type and application. Participants, stakeholders, and other readers in the global Artificial Intelligence In Aviation market will be able to gain an advantage as they use reports as a powerful resource.
The global Artificial Intelligence In Aviation market is segmented by company, region (country), type and application. Participants, stakeholders, and other readers in the global Artificial Intelligence In Aviation market will be able to gain an advantage as they use reports as a powerful resource.
Artificial Intelligence In Aviation markets by category
Hardware
Software
Service
Artificial Intelligence In Aviation Market by Application (Percentage of Demand)
Virtual Assistants
Smart Maintenance
Who are the leading companies in Artificial Intelligence In Aviation market
Airbus
Amazon
Boeing
Garmin
GE
IBM
Intel
IRIS Automation
Kittyhawk
Lockheed Martin
Micron
Microsoft
Neurala
Northrop Grumman
Nvidia
Pilot AI Labs
Samsung Electronics
Thales
Xilinx
Artificial Intelligence In Aviation markets by region:
In North America
In Latin America
Europe
The Asia-pacific
Middle East and Africa (MEA)
What are the main countries covered
The United States
Canada
Germany
France
UK
Italy
Russia
China
Japan
Korea
Southeast Asia
India
Australia
Brazil
Mexico
Argentina
Chile
Colombia
Egypt
Saudi Arabia
United Arab Emirates
Nigeria
South Africa
Which is the most profitable market
Among regions, North America/Europe/Asia Pacific accounted for the largest share of global personalized beauty equipment as rising consumer incomes led to increased spending at Artificial Intelligence In Aviation.
What methodology did you follow in your research
This study was conducted by our expert analysts through a combination of primary and secondary studies. The methodology we follow includes a demand-side assessment of the market and triangulation of this through supply-side analysis. The methodology is based on the use of standard market structures, methods, and definitions.
Who were the primary study respondents
We talk to stakeholders across the spectrum. Including C-level executives, distributors, product manufacturers, industry experts, etc.
What are the sources of secondary research
We conduct extensive secondary studies using proprietary databases, paid databases, and information available in the public domain. We refer to industry associations, company press releases, annual reports, investor presentations and research papers.
1. Introduction
1.1 Definition of the Market
1.2 Research Purpose
1.3 Scope of the Study
1.4 Stakeholders
1.5 Geography Coverage
1.6 Currency Under Consideration
1.7 Consumption Units
1.8 Review Cycle
2 Global Market Overview
2.1 Global Artificial Intelligence In Aviation Market Size and Growth Forecast 2014-2026
2.2 Global Artificial Intelligence In Aviation Market Size by Region 2014-2026
2.3 Artificial Intelligence In Aviation Gross Margin in Different Region 2014-2021
2.4 Global Artificial Intelligence In Aviation Market by Major Companies
2.1 Global Artificial Intelligence In Aviation Revenue and Market Share by Vendors (2016-2021)
2.2 Global Artificial Intelligence In Aviation Industry Concentration Ratio (CR5 and HHI)
2.3 Top 5 Artificial Intelligence In Aviation Vendors Market Share
2.4 Top 10 Artificial Intelligence In Aviation Vendors Market Share
3 Global Artificial Intelligence In Aviation Market by Type
3.1 Global Artificial Intelligence In Aviation Market Size and Growth Rate Segment by Types from 2014-2021
3.2 Brief Introduction of Different Types
3.2.1 Hardware
3.2.2 Software
3.2.3 Service
4 Global Artificial Intelligence In Aviation Market by Application
4.1 Global Artificial Intelligence In Aviation Market Size and Growth Rate Segment by Applications from 2014-2021
4.2 Brief Introduction of Different Applications
4.2.1 Virtual Assistants
4.2.2 Smart Maintenance
5 North America Artificial Intelligence In Aviation Market Value and Segmentation (by Type, Application, Countries and Participants)
5.1 North America Artificial Intelligence In Aviation Value ($) from 2014-2021
5.2 North America Artificial Intelligence In Aviation Market Value ($) and Growth (%) by Type from 2014-2021
5.3 North America Artificial Intelligence In Aviation Market Value ($) and Growth (%) by Application from 2014-2021
5.4 North America Artificial Intelligence In Aviation Market Value ($) and Growth (%) by Countries from 2014-2021
5.4.1 The United States
5.4.2 Canada
5.5 Top North America Artificial Intelligence In Aviation Participants Value ($) and Market Share (%) in 2020
6 Europe Artificial Intelligence In Aviation Market Value and Segmentation (by Type, Application, Countries and Participants)
6.1 Europe Artificial Intelligence In Aviation Value ($) from 2014-2021
6.2 Europe Artificial Intelligence In Aviation Market Value ($) and Growth (%) by Type from 2014-2021
6.3 Europe Artificial Intelligence In Aviation Market Value ($) and Growth (%) by Application from 2014-2021
6.4 Europe Artificial Intelligence In Aviation Market Value ($) and Growth (%) by Countries from 2014-2021
6.4.1 Germany
6.4.2 France
6.4.3 UK
6.4.4 Italy
6.4.5 Russia
…
6.5 Top Europe Artificial Intelligence In Aviation Participants Value ($) and Market Share (%) in 2020
7 Asia-Pacific Artificial Intelligence In Aviation Market Value and Segmentation (by Type, Application, Countries and Participants)
7.1 Asia-Pacific Artificial Intelligence In Aviation Value ($) from 2014-2021
7.2 Asia-Pacific Artificial Intelligence In Aviation Market Value ($) and Growth (%) by Type from 2014-2021
7.3 Asia-Pacific Artificial Intelligence In Aviation Market Value ($) and Growth (%) by Application from 2014-2021
7.4 Asia-Pacific Artificial Intelligence In Aviation Market Value ($) and Growth (%) by Countries from 2014-2021
7.4.1 China
7.4.2 Japan
7.4.3 Korea
7.4.4 Southeast Asia
7.4.5 India
7.4.6 Australia
…
7.5 Top Asia-Pacific Artificial Intelligence In Aviation Participants Value ($) and Market Share (%) in 2020
8 Latin America Artificial Intelligence In Aviation Market Value and Segmentation (by Type, Application, Countries and Participants)
8.1 Latin America Artificial Intelligence In Aviation Value ($) from 2014-2021
8.2 Latin America Artificial Intelligence In Aviation Market Value ($) and Growth (%) by Type from 2014-2021
8.3 Latin America Artificial Intelligence In Aviation Market Value ($) and Growth (%) by Application from 2014-2021
8.4 Latin America Artificial Intelligence In Aviation Market Value ($) and Growth (%) by Countries from 2014-2021
8.4.1 Brazil
8.4.2 Mexico
8.4.3 Argentina
8.4.4 Chile
8.4.5 Colombia
…
8.5 Top Latin America Artificial Intelligence In Aviation Participants Value ($) and Market Share (%) in 2020
9 Middle East & Africa Artificial Intelligence In Aviation Market Value and Segmentation (by Type, Application, Countries and Participants)
9.1 Middle East & Africa Artificial Intelligence In Aviation Value ($) from 2014-2021
9.2 Middle East & Africa Artificial Intelligence In Aviation Market Value ($) and Growth (%) by Type from 2014-2021
9.3 Middle East & Africa Artificial Intelligence In Aviation Market Value ($) and Growth (%) by Application from 2014-2021
9.4 Middle East & Africa Artificial Intelligence In Aviation Market Value ($) and Growth (%) by Countries from 2014-2021
9.4.1 Egypt
9.4.2 Saudi Arabia
9.4.3 United Arab Emirates
9.4.4 Nigeria
9.4.5 South Africa
…
9.5 Top Middle East & Africa Artificial Intelligence In Aviation Participants Value ($) and Market Share (%) in 2020
10. Global Level Competitive Intelligence – Company Profiles
10.1 Airbus
10.1.1 Airbus Company Profile (Major Business, Plants Distribution, Sales Region, Contact Information)
10.1.2 Airbus Value, Gross and Growth Rate from 2014-2021
10.2 Amazon
10.2.1 Amazon Company Profile (Major Business, Plants Distribution, Sales Region, Contact Information)
10.2.2 Amazon Value, Gross and Growth Rate from 2014-2021
10.3 Boeing
10.3.1 Boeing Company Profile (Major Business, Plants Distribution, Sales Region, Contact Information)
10.3.2 Boeing Value, Gross and Growth Rate from 2014-2021
10.4 Garmin
10.4.1 Garmin Company Profile (Major Business, Plants Distribution, Sales Region, Contact Information)
10.4.2 Garmin Value, Gross and Growth Rate from 2014-2021
10.5 GE
10.5.1 GE Company Profile (Major Business, Plants Distribution, Sales Region, Contact Information)
10.5.2 GE Value, Gross and Growth Rate from 2014-2021
10.6 IBM
10.6.1 IBM Company Profile (Major Business, Plants Distribution, Sales Region, Contact Information)
10.6.2 IBM Value, Gross and Growth Rate from 2014-2021
10.7 Intel
10.7.1 Intel Company Profile (Major Business, Plants Distribution, Sales Region, Contact Information)
10.7.2 Intel Value, Gross and Growth Rate from 2014-2021
10.8 IRIS Automation
10.8.1 IRIS Automation Company Profile (Major Business, Plants Distribution, Sales Region, Contact Information)
10.8.2 IRIS Automation Value, Gross and Growth Rate from 2014-2021
10.9 Kittyhawk
10.9.1 Kittyhawk Company Profile (Major Business, Plants Distribution, Sales Region, Contact Information)
10.9.2 Kittyhawk Value, Gross and Growth Rate from 2014-2021
10.10 Lockheed Martin
10.10.1 Lockheed Martin Company Profile (Major Business, Plants Distribution, Sales Region, Contact Information)
10.10.2 Lockheed Martin Value, Gross and Growth Rate from 2014-2021
10.11 Micron
10.11.1 Micron Company Profile (Major Business, Plants Distribution, Sales Region, Contact Information)
10.11.2 Micron Value, Gross and Growth Rate from 2014-2021
10.12 Microsoft
10.12.1 Microsoft Company Profile (Major Business, Plants Distribution, Sales Region, Contact Information)
10.12.2 Microsoft Value, Gross and Growth Rate from 2014-2021
10.13 Neurala
10.13.1 Neurala Company Profile (Major Business, Plants Distribution, Sales Region, Contact Information)
10.13.2 Neurala Value, Gross and Growth Rate from 2014-2021
10.14 Northrop Grumman
10.14.1 Northrop Grumman Company Profile (Major Business, Plants Distribution, Sales Region, Contact Information)
10.14.2 Northrop Grumman Value, Gross and Growth Rate from 2014-2021
10.15 Nvidia
10.15.1 Nvidia Company Profile (Major Business, Plants Distribution, Sales Region, Contact Information)
10.15.2 Nvidia Value, Gross and Growth Rate from 2014-2021
10.16 Pilot AI Labs
10.16.1 Pilot AI Labs Company Profile (Major Business, Plants Distribution, Sales Region, Contact Information)
10.16.2 Pilot AI Labs Value, Gross and Growth Rate from 2014-2021
10.17 Samsung Electronics
10.17.1 Samsung Electronics Company Profile (Major Business, Plants Distribution, Sales Region, Contact Information)
10.17.2 Samsung Electronics Value, Gross and Growth Rate from 2014-2021
10.18 Thales
10.18.1 Thales Company Profile (Major Business, Plants Distribution, Sales Region, Contact Information)
10.18.2 Thales Value, Gross and Growth Rate from 2014-2021
10.19 Xilinx
10.19.1 Xilinx Company Profile (Major Business, Plants Distribution, Sales Region, Contact Information)
10.19.2 Xilinx Value, Gross and Growth Rate from 2014-2021
11. Market Dynamics
11.1 Driving Factors
11.1.1 Rising Demand in one or More of the Following Regions: North America, Europe, Asia-Pacific, Latin America, Middle East & Africa
11.1.2 Increasing Use of Artificial Intelligence In Aviation by Different End-User/Applications
11.2 Restraints and Challenges in the Market
11.3 Opportunities
12. Future Forecast of Global Artificial Intelligence In Aviation Market from 2021-2026
12.1 Future Forecast of Global Artificial Intelligence In Aviation Market from 2021-2026 Segment by Regions
12.2 Future Forecast of Global Artificial Intelligence In Aviation Market from 2021-2026 Segment by Type
12.3 Future Forecast of Global Artificial Intelligence In Aviation Market from 2021-2026 Segment by Application
13. Investment Analysis
13.1 Fundamental Analysis (Porter's Five Forces Analysis)
13.2 Technical Preparation Analysis
13.3 Risk Evaluating Analysis
13.4 Estimated Investment Pay-Back Period
14 Research Methodology
14.1 Research Data
14.1.1 Secondary Data
14.1.2 Primary Data
14.2 Market Size Estimation
14.2.1 Bottom-Up Approach
14.2.2 Top-Down Approach (Involves time, Space, and Persons)
14.3 Data Triangulation
14.4 Assumptions
14.5 Hypothesis of this Research, Clear, specific, and testable statement of this research
14.6 Limitations of Our Study
14.7 Scene Based Modeling
14.8 Covid-19 Impact/Evaluation
15 Disclaimer
Research Methodology:
Artificial Intelligence In Aviation Market Size Estimation
To estimate market size and trends, we use a combination of top-down and bottom-up methods. This allows us to evaluate the market from various perspectives—by company, region, product type, and end users.
Our estimates are based on actual sales data, excluding any discounts. Segment breakdowns and market shares are calculated using weighted averages based on usage rates and average prices. Regional insights are determined by how widely a product or service is adopted in each area.
Key companies are identified through secondary sources like industry reports and company filings. We then verify revenue estimates and other key data points through primary research, including interviews with industry experts, company executives, and decision-makers.
We take into account all relevant factors that could influence the market and validate our findings with real-world input. Our final insights combine both qualitative and quantitative data to provide a well-rounded view. Please note, these estimates do not account for unexpected changes such as inflation, economic downturns, or policy shifts.
Data Source
Secondary Sources
This study draws on a wide range of secondary sources, including press releases, annual reports, non-profit organizations, industry associations, government agencies, and customs data. We also referred to reputable databases and directories such as Bloomberg, Wind Info, Hoovers, Factiva, Trading Economics, Statista, and others. Additional references include investor presentations, company filings (e.g., SEC), economic data, and documents from regulatory and industry bodies.
These sources were used to gather technical and market-focused insights, identify key players, analyze market segmentation and classification, and track major trends and developments across industries.
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Primary Sources
As part of our primary research, we interviewed a variety of stakeholders from both the supply and demand sides to gather valuable qualitative and quantitative insights.
On the supply side, we spoke with product manufacturers, competitors, industry experts, research institutions, distributors, traders, and raw material suppliers. On the demand side, we engaged with business leaders, marketing and sales heads, technology and innovation directors, supply chain executives, and end users across key organizations.
These conversations helped us better understand market segmentation, pricing, applications, leading players, supply chains, demand trends, industry outlook, and key market dynamics—including risks, opportunities, barriers, and strategic developments.
Key Data Information from Primary Sources
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