Industry Growth Insights published a new data on “AI In Aviation Market”. The research report is titled “AI In Aviation Market research by Types (Hardware, Software, Services), By Applications (Surveillance, Virtual Assistance, Flight Operations, Smart Logistics, Others), By Players/Companies Intel Corporation, Garmin Ltd., IBM Corporation, Airbus SE, Boeing, General Electric, Amazon, Microsoft Corporation, NVIDIA Corporation, Neurala Inc., Samsung Electronics, Micron Technology, Xilinx, Thales S.A., Lockheed Martin Corporation, Northrop Grumman Corporation, Pilot AI Labs, IRIS Automation, Innovative Binaries, Cognitive Code, Searidge Technologies”.
Scope Of The Report
Report Attributes
Report Details
Report Title
AI In Aviation Market Research Report
By Type
Hardware, Software, Services
By Application
Surveillance, Virtual Assistance, Flight Operations, Smart Logistics, Others
By Companies
Intel Corporation, Garmin Ltd., IBM Corporation, Airbus SE, Boeing, General Electric, Amazon, Microsoft Corporation, NVIDIA Corporation, Neurala Inc., Samsung Electronics, Micron Technology, Xilinx, Thales S.A., Lockheed Martin Corporation, Northrop Grumman Corporation, Pilot AI Labs, IRIS Automation, Innovative Binaries, Cognitive Code, Searidge Technologies
Regions Covered
North America, Europe, APAC, Latin America, MEA
Base Year
2021
Historical Year
2019 to 2020 (Data from 2010 can be provided as per availability)
Forecast Year
2030
Number of Pages
159
Number of Tables & Figures
112
Customization Available
Yes, the report can be customized as per your need.
Global AI In Aviation Market Report Segments:
The global AI In Aviation market is segmented on the basis of:
Types
Hardware, Software, Services
The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.
Applications
Surveillance, Virtual Assistance, Flight Operations, Smart Logistics, Others
The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.
Some of the companies that are profiled in this report are:
- Intel Corporation
- Garmin Ltd.
- IBM Corporation
- Airbus SE
- Boeing
- General Electric
- Amazon
- Microsoft Corporation
- NVIDIA Corporation
- Neurala Inc.
- Samsung Electronics
- Micron Technology
- Xilinx
- Thales S.A.
- Lockheed Martin Corporation
- Northrop Grumman Corporation
- Pilot AI Labs
- IRIS Automation
- Innovative Binaries
- Cognitive Code
- Searidge Technologies
Highlights of The AI In Aviation Market Report:
- The market structure and projections for the coming years.
- Drivers, restraints, opportunities, and current trends of market.
- Historical data and forecast.
- Estimations for the forecast period 2030.
- Developments and trends in the market.
- By Type:
- Hardware
- Software
- Services
- By Application:
- Surveillance
- Virtual Assistance
- Flight Operations
- Smart Logistics
- Others
- Market scenario by region, sub-region, and country.
- Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
- Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
- Government Policies, Macro & Micro economic factors are also included in the report.
We have studied the AI In Aviation Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.
Regional Analysis
- North America
- Europe
- Asia Pacific
- Middle East & Africa
- Latin America
Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.
The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.
How you may use our products:
- Correctly Positioning New Products
- Market Entry Strategies
- Business Expansion Strategies
- Consumer Insights
- Understanding Competition Scenario
- Product & Brand Management
- Channel & Customer Management
- Identifying Appropriate Advertising Appeals
8 Reasons to Buy This Report
- Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
- Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
- Implemented Robust Methodology to Prepare the Report
- Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
- Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
- Provides Information About the Top-winning Strategies Implemented by Industry Players.
- In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
- Customization of the Report Available
Frequently Asked Questions?
AI in aviation is the use of artificial intelligence to improve aircraft performance. This can include things like improving navigation, flight planning, and decision-making.
Some of the key players operating in the ai in aviation market are Intel Corporation, Garmin Ltd., IBM Corporation, Airbus SE, Boeing, General Electric, Amazon, Microsoft Corporation, NVIDIA Corporation, Neurala Inc., Samsung Electronics, Micron Technology, Xilinx, Thales S.A., Lockheed Martin Corporation, Northrop Grumman Corporation, Pilot AI Labs, IRIS Automation, Innovative Binaries, Cognitive Code, Searidge Technologies.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 AI In Aviation Market Overview
4.1 Introduction
4.1.1 Market Taxonomy
4.1.2 Market Definition
4.1.3 Macro-Economic Factors Impacting the Market Growth
4.2 AI In Aviation Market Dynamics
4.2.1 Market Drivers
4.2.2 Market Restraints
4.2.3 Market Opportunity
4.3 AI In Aviation Market - Supply Chain Analysis
4.3.1 List of Key Suppliers
4.3.2 List of Key Distributors
4.3.3 List of Key Consumers
4.4 Key Forces Shaping the AI In Aviation Market
4.4.1 Bargaining Power of Suppliers
4.4.2 Bargaining Power of Buyers
4.4.3 Threat of Substitution
4.4.4 Threat of New Entrants
4.4.5 Competitive Rivalry
4.5 Global AI In Aviation Market Size & Forecast, 2018-2028
4.5.1 AI In Aviation Market Size and Y-o-Y Growth
4.5.2 AI In Aviation Market Absolute $ Opportunity
Chapter 5 Global AI In Aviation Market Analysis and Forecast by Type
5.1 Introduction
5.1.1 Key Market Trends & Growth Opportunities by Type
5.1.2 Basis Point Share (BPS) Analysis by Type
5.1.3 Absolute $ Opportunity Assessment by Type
5.2 AI In Aviation Market Size Forecast by Type
5.2.1 Hardware
5.2.2 Software
5.2.3 Services
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global AI In Aviation Market Analysis and Forecast by Applications
6.1 Introduction
6.1.1 Key Market Trends & Growth Opportunities by Applications
6.1.2 Basis Point Share (BPS) Analysis by Applications
6.1.3 Absolute $ Opportunity Assessment by Applications
6.2 AI In Aviation Market Size Forecast by Applications
6.2.1 Surveillance
6.2.2 Virtual Assistance
6.2.3 Flight Operations
6.2.4 Smart Logistics
6.2.5 Others
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global AI In Aviation Market Analysis and Forecast by Region
7.1 Introduction
7.1.1 Key Market Trends & Growth Opportunities by Region
7.1.2 Basis Point Share (BPS) Analysis by Region
7.1.3 Absolute $ Opportunity Assessment by Region
7.2 AI In Aviation Market Size Forecast by Region
7.2.1 North America
7.2.2 Europe
7.2.3 Asia Pacific
7.2.4 Latin America
7.2.5 Middle East & Africa (MEA)
7.3 Market Attractiveness Analysis by Region
Chapter 8 Coronavirus Disease (COVID-19) Impact
8.1 Introduction
8.2 Current & Future Impact Analysis
8.3 Economic Impact Analysis
8.4 Government Policies
8.5 Investment Scenario
Chapter 9 North America AI In Aviation Analysis and Forecast
9.1 Introduction
9.2 North America AI In Aviation Market Size Forecast by Country
9.2.1 U.S.
9.2.2 Canada
9.3 Basis Point Share (BPS) Analysis by Country
9.4 Absolute $ Opportunity Assessment by Country
9.5 Market Attractiveness Analysis by Country
9.6 North America AI In Aviation Market Size Forecast by Type
9.6.1 Hardware
9.6.2 Software
9.6.3 Services
9.7 Basis Point Share (BPS) Analysis by Type
9.8 Absolute $ Opportunity Assessment by Type
9.9 Market Attractiveness Analysis by Type
9.10 North America AI In Aviation Market Size Forecast by Applications
9.10.1 Surveillance
9.10.2 Virtual Assistance
9.10.3 Flight Operations
9.10.4 Smart Logistics
9.10.5 Others
9.11 Basis Point Share (BPS) Analysis by Applications
9.12 Absolute $ Opportunity Assessment by Applications
9.13 Market Attractiveness Analysis by Applications
Chapter 10 Europe AI In Aviation Analysis and Forecast
10.1 Introduction
10.2 Europe AI In Aviation Market Size Forecast by Country
10.2.1 Germany
10.2.2 France
10.2.3 Italy
10.2.4 U.K.
10.2.5 Spain
10.2.6 Russia
10.2.7 Rest of Europe
10.3 Basis Point Share (BPS) Analysis by Country
10.4 Absolute $ Opportunity Assessment by Country
10.5 Market Attractiveness Analysis by Country
10.6 Europe AI In Aviation Market Size Forecast by Type
10.6.1 Hardware
10.6.2 Software
10.6.3 Services
10.7 Basis Point Share (BPS) Analysis by Type
10.8 Absolute $ Opportunity Assessment by Type
10.9 Market Attractiveness Analysis by Type
10.10 Europe AI In Aviation Market Size Forecast by Applications
10.10.1 Surveillance
10.10.2 Virtual Assistance
10.10.3 Flight Operations
10.10.4 Smart Logistics
10.10.5 Others
10.11 Basis Point Share (BPS) Analysis by Applications
10.12 Absolute $ Opportunity Assessment by Applications
10.13 Market Attractiveness Analysis by Applications
Chapter 11 Asia Pacific AI In Aviation Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific AI In Aviation Market Size Forecast by Country
11.2.1 China
11.2.2 Japan
11.2.3 South Korea
11.2.4 India
11.2.5 Australia
11.2.6 South East Asia (SEA)
11.2.7 Rest of Asia Pacific (APAC)
11.3 Basis Point Share (BPS) Analysis by Country
11.4 Absolute $ Opportunity Assessment by Country
11.5 Market Attractiveness Analysis by Country
11.6 Asia Pacific AI In Aviation Market Size Forecast by Type
11.6.1 Hardware
11.6.2 Software
11.6.3 Services
11.7 Basis Point Share (BPS) Analysis by Type
11.8 Absolute $ Opportunity Assessment by Type
11.9 Market Attractiveness Analysis by Type
11.10 Asia Pacific AI In Aviation Market Size Forecast by Applications
11.10.1 Surveillance
11.10.2 Virtual Assistance
11.10.3 Flight Operations
11.10.4 Smart Logistics
11.10.5 Others
11.11 Basis Point Share (BPS) Analysis by Applications
11.12 Absolute $ Opportunity Assessment by Applications
11.13 Market Attractiveness Analysis by Applications
Chapter 12 Latin America AI In Aviation Analysis and Forecast
12.1 Introduction
12.2 Latin America AI In Aviation Market Size Forecast by Country
12.2.1 Brazil
12.2.2 Mexico
12.2.3 Rest of Latin America (LATAM)
12.3 Basis Point Share (BPS) Analysis by Country
12.4 Absolute $ Opportunity Assessment by Country
12.5 Market Attractiveness Analysis by Country
12.6 Latin America AI In Aviation Market Size Forecast by Type
12.6.1 Hardware
12.6.2 Software
12.6.3 Services
12.7 Basis Point Share (BPS) Analysis by Type
12.8 Absolute $ Opportunity Assessment by Type
12.9 Market Attractiveness Analysis by Type
12.10 Latin America AI In Aviation Market Size Forecast by Applications
12.10.1 Surveillance
12.10.2 Virtual Assistance
12.10.3 Flight Operations
12.10.4 Smart Logistics
12.10.5 Others
12.11 Basis Point Share (BPS) Analysis by Applications
12.12 Absolute $ Opportunity Assessment by Applications
12.13 Market Attractiveness Analysis by Applications
Chapter 13 Middle East & Africa (MEA) AI In Aviation Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) AI In Aviation Market Size Forecast by Country
13.2.1 Saudi Arabia
13.2.2 South Africa
13.2.3 UAE
13.2.4 Rest of Middle East & Africa (MEA)
13.3 Basis Point Share (BPS) Analysis by Country
13.4 Absolute $ Opportunity Assessment by Country
13.5 Market Attractiveness Analysis by Country
13.6 Middle East & Africa (MEA) AI In Aviation Market Size Forecast by Type
13.6.1 Hardware
13.6.2 Software
13.6.3 Services
13.7 Basis Point Share (BPS) Analysis by Type
13.8 Absolute $ Opportunity Assessment by Type
13.9 Market Attractiveness Analysis by Type
13.10 Middle East & Africa (MEA) AI In Aviation Market Size Forecast by Applications
13.10.1 Surveillance
13.10.2 Virtual Assistance
13.10.3 Flight Operations
13.10.4 Smart Logistics
13.10.5 Others
13.11 Basis Point Share (BPS) Analysis by Applications
13.12 Absolute $ Opportunity Assessment by Applications
13.13 Market Attractiveness Analysis by Applications
Chapter 14 Competition Landscape
14.1 AI In Aviation Market: Competitive Dashboard
14.2 Global AI In Aviation Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 Intel Corporation
14.3.2 Garmin Ltd.
14.3.3 IBM Corporation
14.3.4 Airbus SE
14.3.5 Boeing
14.3.6 General Electric
14.3.7 Amazon
14.3.8 Microsoft Corporation
14.3.9 NVIDIA Corporation
14.3.10 Neurala Inc.
14.3.11 Samsung Electronics
14.3.12 Micron Technology
14.3.13 Xilinx
14.3.14 Thales S.A.
14.3.15 Lockheed Martin Corporation
14.3.16 Northrop Grumman Corporation
14.3.17 Pilot AI Labs
14.3.18 IRIS Automation
14.3.19 Innovative Binaries
14.3.20 Cognitive Code
14.3.21 Searidge Technologies
