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AI In Aviation Market Size, Share & Trends Analysis Report By Application (urveillance,Virtual Assistance,Flight Operations,Smart Logistics,,,), By Type (ardware,Software,Services,,), By Region, And Segment Forecasts Till - 2028

Type:

Status: Published

Categories: Semi Conductor & Electronics

Report Code : 53494

No. of Pages : 250

Market Overview

AI In Aviation report provides readers with a descriptive outlook of the international market, to accurately calculate its development in the future. It estimates the AI In Aviation industry on the basis of the past and current scenarios, and also includes a forecast for 2021 to 2028. The report is prepared to help key players make business deals relating to the AI In Aviation market with the help of key findings and insights provided on the drivers, restraints, threats, and opportunities expected to affect the market in the given forecast duration.


Methodology

The research study involved the usage of both primary and secondary data approaches. The research process involved the study of various factors that affect the industry, including the government policy, market environment, competitive landscape, historical data, and other various indexes that would increase the efficiency of report analytics. The report serves as a medium through which the organization can analyze and evaluate its performance and improve in some field which further enhances productivity.


Growth Mapping

The vital reason for the report is to give a development guide of the AI In Aviation market and thus help the customer's in the detailing of expected techniques to meet the business objectives. Along these lines, there are numerous subjective and quantitative devices utilized for the development planning of the market. These incorporate PESTEL investigation for different locales associated with the market, SWOT examination of the business, PORTER'S five powers for assurance of various properties, for example, the intensity of the purchaser and provider occupied with the market, the threat of replacement, the force of rivalry and threats of the new entrants in the market.


Key Market Segments
By Type
ardware,Software,Services,,
By Application
urveillance,Virtual Assistance,Flight Operations,Smart Logistics,,,
Top Listed Companies
ntel 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,,
Regional Analysis

North America, Latin America, Asia-Pacific nations, Europe, India, China, Australia, and lot more countries of the world have been scaled and thereafter a report is being made on them. Organizations and marketing managers are trying their best channelize efforts and integrate them all toward developing an efficient marketing system. As the segment of the market business would spread all around the world, there would be a greater opportunity to develop a market that will operate for a long period. Latin America will be the leader in enhancing market development due to the scope makers who are working for a critical offer in the market and therefore boosting the business.


Customization of the Report:

The customized report is provided by our consultancy at a reasonable price. We provide updated information according to the requirements of the customers in the market world.


Frequently Asked Questions?
Q1. What is the total market value of the AI In Aviation market report?
Q2. What would be the forecast period in the AI In Aviation market report?
Q3. What is the base year considered in the AI In Aviation market report?
Q4. Which are the top companies hold the market share in the AI In Aviation market ?
Q5. Which is expected to be the fastest growing segment in the AI In Aviation market?
Q6. Which market holds the maximum market share of the AI In Aviation market ?
Q7. How the company profile has been selected?
Q8. What will be the market value of the AI In Aviation market in 2028?
ntel Corporation_x000D_,
Garmin Ltd._x000D_,
IBM Corporation_x000D_,
Airbus SE_x000D_,
Boeing_x000D_,
General Electric_x000D_,
Amazon_x000D_,
Microsoft Corporation_x000D_,
NVIDIA Corporation_x000D_,
Neurala Inc._x000D_,
Samsung Electronics_x000D_,
Micron Technology_x000D_,
Xilinx_x000D_,
Thales S.A._x000D_,
Lockheed Martin Corporation_x000D_,
Northrop Grumman Corporation_x000D_,
Pilot AI Labs_x000D_,
IRIS Automation_x000D_,
Innovative Binaries_x000D_,
Cognitive Code_x000D_,
Searidge Technologies_x000D_,

Table Of Content

1 Report Overview
1.1 Study Scope
1.2 Key Market Segments
1.3 Players Covered: Ranking by AI In Aviation Revenue
1.4 Market Analysis by Type
1.4.1 Global AI In Aviation Market Size Growth Rate by Type: 2020 VS 2028
1.4.2 Hardware
1.4.3 Software
1.4.4 Services
1.5 Market by Application
1.5.1 Global AI In Aviation Market Share by Application: 2020 VS 2028
1.5.2 Surveillance
1.5.3 Virtual Assistance
1.5.4 Flight Operations
1.5.5 Smart Logistics
1.5.6 Others
1.6 Coronavirus Disease 2019 (Covid-19): AI In Aviation Industry Impact
1.6.1 How the Covid-19 is Affecting the AI In Aviation Industry
1.6.1.1 AI In Aviation Business Impact Assessment - Covid-19
1.6.1.2 Supply Chain Challenges
1.6.1.3 COVID-19s Impact On Crude Oil and Refined Products
1.6.2 Market Trends and AI In Aviation Potential Opportunities in the COVID-19 Landscape
1.6.3 Measures / Proposal against Covid-19
1.6.3.1 Government Measures to Combat Covid-19 Impact
1.6.3.2 Proposal for AI In Aviation Players to Combat Covid-19 Impact
1.7 Study Objectives
1.8 Years Considered
2 Global Growth Trends by Regions
2.1 AI In Aviation Market Perspective (2018-2028)
2.2 AI In Aviation Growth Trends by Regions
2.2.1 AI In Aviation Market Size by Regions: 2018 VS 2020 VS 2028
2.2.2 AI In Aviation Historic Market Share by Regions (2018-2020)
2.2.3 AI In Aviation Forecasted Market Size by Regions (2021-2028)
2.3 Industry Trends and Growth Strategy
2.3.1 Market Top Trends
2.3.2 Market Drivers
2.3.3 Market Challenges
2.3.4 Porters Five Forces Analysis
2.3.5 AI In Aviation Market Growth Strategy
2.3.6 Primary Interviews with Key AI In Aviation Players (Opinion Leaders)
3 Competition Landscape by Key Players
3.1 Global Top AI In Aviation Players by Market Size
3.1.1 Global Top AI In Aviation Players by Revenue (2018-2020)
3.1.2 Global AI In Aviation Revenue Market Share by Players (2018-2020)
3.1.3 Global AI In Aviation Market Share by Company Type (Tier 1, Tier 2 and Tier 3)
3.2 Global AI In Aviation Market Concentration Ratio
3.2.1 Global AI In Aviation Market Concentration Ratio (CR5 and HHI)
3.2.2 Global Top 10 and Top 5 Companies by AI In Aviation Revenue in 2019
3.3 AI In Aviation Key Players Head office and Area Served
3.4 Key Players AI In Aviation Product Solution and Service
3.5 Date of Enter into AI In Aviation Market
3.6 Mergers & Acquisitions, Expansion Plans
4 Breakdown Data by Type (2018-2028)
4.1 Global AI In Aviation Historic Market Size by Type (2018-2020)
4.2 Global AI In Aviation Forecasted Market Size by Type (2021-2028)
5 AI In Aviation Breakdown Data by Application (2018-2028)
5.1 Global AI In Aviation Market Size by Application (2018-2020)
5.2 Global AI In Aviation Forecasted Market Size by Application (2021-2028)
6 North America
6.1 North America AI In Aviation Market Size (2018-2020)
6.2 AI In Aviation Key Players in North America (2019-2020)
6.3 North America AI In Aviation Market Size by Type (2018-2020)
6.4 North America AI In Aviation Market Size by Application (2018-2020)
7 Europe
7.1 Europe AI In Aviation Market Size (2018-2020)
7.2 AI In Aviation Key Players in Europe (2019-2020)
7.3 Europe AI In Aviation Market Size by Type (2018-2020)
7.4 Europe AI In Aviation Market Size by Application (2018-2020)
8 China
8.1 China AI In Aviation Market Size (2018-2020)
8.2 AI In Aviation Key Players in China (2019-2020)
8.3 China AI In Aviation Market Size by Type (2018-2020)
8.4 China AI In Aviation Market Size by Application (2018-2020)
9 Japan
9.1 Japan AI In Aviation Market Size (2018-2020)
9.2 AI In Aviation Key Players in Japan (2019-2020)
9.3 Japan AI In Aviation Market Size by Type (2018-2020)
9.4 Japan AI In Aviation Market Size by Application (2018-2020)
10 Southeast Asia
10.1 Southeast Asia AI In Aviation Market Size (2018-2020)
10.2 AI In Aviation Key Players in Southeast Asia (2019-2020)
10.3 Southeast Asia AI In Aviation Market Size by Type (2018-2020)
10.4 Southeast Asia AI In Aviation Market Size by Application (2018-2020)
11 India
11.1 India AI In Aviation Market Size (2018-2020)
11.2 AI In Aviation Key Players in India (2019-2020)
11.3 India AI In Aviation Market Size by Type (2018-2020)
11.4 India AI In Aviation Market Size by Application (2018-2020)
12 Central & South America
12.1 Central & South America AI In Aviation Market Size (2018-2020)
12.2 AI In Aviation Key Players in Central & South America (2019-2020)
12.3 Central & South America AI In Aviation Market Size by Type (2018-2020)
12.4 Central & South America AI In Aviation Market Size by Application (2018-2020)
13 Key Players Profiles
13.1 Intel Corporation
13.1.1 Intel Corporation Company Details
13.1.2 Intel Corporation Business Overview and Its Total Revenue
13.1.3 Intel Corporation AI In Aviation Introduction
13.1.4 Intel Corporation Revenue in AI In Aviation Business (2018-2020))
13.1.5 Intel Corporation Recent Development
13.2 Garmin Ltd.
13.2.1 Garmin Ltd. Company Details
13.2.2 Garmin Ltd. Business Overview and Its Total Revenue
13.2.3 Garmin Ltd. AI In Aviation Introduction
13.2.4 Garmin Ltd. Revenue in AI In Aviation Business (2018-2020)
13.2.5 Garmin Ltd. Recent Development
13.3 IBM Corporation
13.3.1 IBM Corporation Company Details
13.3.2 IBM Corporation Business Overview and Its Total Revenue
13.3.3 IBM Corporation AI In Aviation Introduction
13.3.4 IBM Corporation Revenue in AI In Aviation Business (2018-2020)
13.3.5 IBM Corporation Recent Development
13.4 Airbus SE
13.4.1 Airbus SE Company Details
13.4.2 Airbus SE Business Overview and Its Total Revenue
13.4.3 Airbus SE AI In Aviation Introduction
13.4.4 Airbus SE Revenue in AI In Aviation Business (2018-2020)
13.4.5 Airbus SE Recent Development
13.5 Boeing
13.5.1 Boeing Company Details
13.5.2 Boeing Business Overview and Its Total Revenue
13.5.3 Boeing AI In Aviation Introduction
13.5.4 Boeing Revenue in AI In Aviation Business (2018-2020)
13.5.5 Boeing Recent Development
13.6 General Electric
13.6.1 General Electric Company Details
13.6.2 General Electric Business Overview and Its Total Revenue
13.6.3 General Electric AI In Aviation Introduction
13.6.4 General Electric Revenue in AI In Aviation Business (2018-2020)
13.6.5 General Electric Recent Development
13.7 Amazon
13.7.1 Amazon Company Details
13.7.2 Amazon Business Overview and Its Total Revenue
13.7.3 Amazon AI In Aviation Introduction
13.7.4 Amazon Revenue in AI In Aviation Business (2018-2020)
13.7.5 Amazon Recent Development
13.8 Microsoft Corporation
13.8.1 Microsoft Corporation Company Details
13.8.2 Microsoft Corporation Business Overview and Its Total Revenue
13.8.3 Microsoft Corporation AI In Aviation Introduction
13.8.4 Microsoft Corporation Revenue in AI In Aviation Business (2018-2020)
13.8.5 Microsoft Corporation Recent Development
13.9 NVIDIA Corporation
13.9.1 NVIDIA Corporation Company Details
13.9.2 NVIDIA Corporation Business Overview and Its Total Revenue
13.9.3 NVIDIA Corporation AI In Aviation Introduction
13.9.4 NVIDIA Corporation Revenue in AI In Aviation Business (2018-2020)
13.9.5 NVIDIA Corporation Recent Development
13.10 Neurala Inc.
13.10.1 Neurala Inc. Company Details
13.10.2 Neurala Inc. Business Overview and Its Total Revenue
13.10.3 Neurala Inc. AI In Aviation Introduction
13.10.4 Neurala Inc. Revenue in AI In Aviation Business (2018-2020)
13.10.5 Neurala Inc. Recent Development
13.11 Samsung Electronics
10.11.1 Samsung Electronics Company Details
10.11.2 Samsung Electronics Business Overview and Its Total Revenue
10.11.3 Samsung Electronics AI In Aviation Introduction
10.11.4 Samsung Electronics Revenue in AI In Aviation Business (2018-2020)
10.11.5 Samsung Electronics Recent Development
13.12 Micron Technology
10.12.1 Micron Technology Company Details
10.12.2 Micron Technology Business Overview and Its Total Revenue
10.12.3 Micron Technology AI In Aviation Introduction
10.12.4 Micron Technology Revenue in AI In Aviation Business (2018-2020)
10.12.5 Micron Technology Recent Development
13.13 Xilinx
10.13.1 Xilinx Company Details
10.13.2 Xilinx Business Overview and Its Total Revenue
10.13.3 Xilinx AI In Aviation Introduction
10.13.4 Xilinx Revenue in AI In Aviation Business (2018-2020)
10.13.5 Xilinx Recent Development
13.14 Thales S.A.
10.14.1 Thales S.A. Company Details
10.14.2 Thales S.A. Business Overview and Its Total Revenue
10.14.3 Thales S.A. AI In Aviation Introduction
10.14.4 Thales S.A. Revenue in AI In Aviation Business (2018-2020)
10.14.5 Thales S.A. Recent Development
13.15 Lockheed Martin Corporation
10.15.1 Lockheed Martin Corporation Company Details
10.15.2 Lockheed Martin Corporation Business Overview and Its Total Revenue
10.15.3 Lockheed Martin Corporation AI In Aviation Introduction
10.15.4 Lockheed Martin Corporation Revenue in AI In Aviation Business (2018-2020)
10.15.5 Lockheed Martin Corporation Recent Development
13.16 Northrop Grumman Corporation
10.16.1 Northrop Grumman Corporation Company Details
10.16.2 Northrop Grumman Corporation Business Overview and Its Total Revenue
10.16.3 Northrop Grumman Corporation AI In Aviation Introduction
10.16.4 Northrop Grumman Corporation Revenue in AI In Aviation Business (2018-2020)
10.16.5 Northrop Grumman Corporation Recent Development
13.17 Pilot AI Labs
10.17.1 Pilot AI Labs Company Details
10.17.2 Pilot AI Labs Business Overview and Its Total Revenue
10.17.3 Pilot AI Labs AI In Aviation Introduction
10.17.4 Pilot AI Labs Revenue in AI In Aviation Business (2018-2020)
10.17.5 Pilot AI Labs Recent Development
13.18 IRIS Automation
10.18.1 IRIS Automation Company Details
10.18.2 IRIS Automation Business Overview and Its Total Revenue
10.18.3 IRIS Automation AI In Aviation Introduction
10.18.4 IRIS Automation Revenue in AI In Aviation Business (2018-2020)
10.18.5 IRIS Automation Recent Development
13.19 Innovative Binaries
10.19.1 Innovative Binaries Company Details
10.19.2 Innovative Binaries Business Overview and Its Total Revenue
10.19.3 Innovative Binaries AI In Aviation Introduction
10.19.4 Innovative Binaries Revenue in AI In Aviation Business (2018-2020)
10.19.5 Innovative Binaries Recent Development
13.20 Cognitive Code
10.20.1 Cognitive Code Company Details
10.20.2 Cognitive Code Business Overview and Its Total Revenue
10.20.3 Cognitive Code AI In Aviation Introduction
10.20.4 Cognitive Code Revenue in AI In Aviation Business (2018-2020)
10.20.5 Cognitive Code Recent Development
13.21 Searidge Technologies
10.21.1 Searidge Technologies Company Details
10.21.2 Searidge Technologies Business Overview and Its Total Revenue
10.21.3 Searidge Technologies AI In Aviation Introduction
10.21.4 Searidge Technologies Revenue in AI In Aviation Business (2018-2020)
10.21.5 Searidge Technologies Recent Development
14 Analyst's Viewpoints/Conclusions
15 Appendix
15.1 Research Methodology
15.1.1 Methodology/Research Approach
15.1.2 Data Source
15.2 Disclaimer
15.3 Author Details

The research has the specific objective of carrying out marketing effectively. In this competitive environment, companies need information on all verticals in the industry; Information on customer demand, market demand, competition, industry trends and distribution channels. This information should be updated regularly as companies operate in a dynamic environment. Our organization, Statistify market research, incorporates scientific and systematic research procedures to obtain the correct market statistics and industry analysis for overall business success. Analysis involves learning about the market from a small level, where we implement statistics that help verify data with precision and precision.

This research study involved the extensive usage of both primary and secondary data sources. The research process involved the study of various factors affecting the industry, including the government policy, market environment, competitive landscape, historical data, present trends in the market, technological innovation, upcoming technologies and the technical progress in related industry, and market risks, opportunities, market barriers and challenges. The following illustrative figure shows the market research methodology applied in this report.

Research Programs/Design

Historical Data (2015-2018) Industry Trends Global Revenue; Status and Outlook;
Competitive Landscape By Players; Expansion; Mergers and Acquisitions Product Revenue for Top Players Market Share Growth Rate Present Situation Analysis;
Market Segment By Segment1 By Segment2 By Regions/ Geography Sales Revenue Market Share; Growth Rate Present Situation Analysis
Influencing Factors Market Environment Government Policy Technological Changes Market Drivers Growing Demand of Downstream Reduction in Cost
Market Risks Market Opportunities and Challenges
Market Forecast (2020-2027) Market Size Forecast Global Overall Size By Type/Product Category By Applications/End Users By Regions/Geography Key Data (Revenue) Market Size; Market Share; Growth Rate ; Growth; Product Sales Price

Statistify market research offers extensive research and analysis based on objective information obtained through interviews with CXO and global experts and secondary data from reliable sources. Our analysts and industry specialists play an important role in building statistical tools and analysis models, which are used to analyze data and arrive at accurate statistics with highly informative research results. The data provided by our organization has proven to be valuable to a wide variety of companies, helping them determine which products / services are most attractive, whether they are using the product as expected or for purchasing purposes. Market and many more.

Statistify market research methodology incorporates an attractive combination of primary and secondary initiatives. Important steps involved in this process is listed below:

  •  Data Procurement
  •  Data Synthesis
  •  Market Deduction & Formulation
  •  Data Validation & Market Feedback

Data Procurement

Data Procurement phase involves collecting and compiling market data and information related with the help of various sources and research procedures.

The data storage phase involves collecting and collecting data through various data sources and also includes extensive research.

These data sources include:

Purchased Database

The databases purchased from various sources play a crucial role in estimating market size, regardless of domain. Our purchased database includes:

 Organizational databases such as D&B Hoover and Bloomberg that help identify the competitive situation of key market players / organizations along with financial information.

 Industry / market databases like Statista and Factiva provide market / industry statistics and deduce certain formulations.

 We have agreements with several renowned data providers and third-party information providers.

  •  Import & Export Data
  •  Business Trade Information
  •  In some demographics the rate of use of a particular product / service is mainly focusing on unmet preconditions

Secondary Research

Secondary Sources such as press releases, annual reports, Non-Profit organizations, industry associations, governmental agencies and customs data, and so on; This research study involved the usage of widespread secondary sources; directories; databases such as Bloomberg Business, Wind Info, Hoovers, Factiva (Dow Jones & Company), Trading Economics, and aviation; Investing News Network; Statista; Federal Reserve Economic Data; annual reports; BIS Statistics; ICIS; company house documents; CAS(American Chemical Society); investor presentations; and SEC filings of companies. Secondary research is used to identify and collect information useful for the extensive, technical, market-oriented, and commercial study of the Market. It also used to obtain important information about the top players, market classification and segmentation according to industry trends to the bottom-most level, and key developments related to market and technology perspectives.

Market Size

  • • Segmental Revenue/Sales Volume
  • • Geographic Penetration
  • • Product Adoption Rate For Different End Users

Market Position of Top Players

  • • Product Financials
  • • Geographic Revenue Mix
  • • Total Company Revenue
  • • Business/Segmental Revenue Mix

Qualitative Analysis

  • • Influence Factors
  • • Market Potential
  • • Market Risks and Opportunities
  • • Industry Trends
  • • Geographical Features
  • • Government Policies

Sources

  • • Websites , Journals and Press Releases
  • • SEC Filings and the Annual Reports
  • • Public and Paid Databases from various sources
  • • Statistify market research Data Repository

Primary Research

In the primary research process, various sources from both the supply and demand sides were interviewed to obtain qualitative and quantitative information for this report. The primary sources from the supply side include product Players (and their competitors), opinion leaders, industry experts, research institutions, distributors, dealer and traders, as well as the raw materials suppliers and producers etc.

The primary sources from the demand side include industry experts such as business leaders, marketing and sales directors, technology and innovation directors, supply chain executive, end users (product buyers), and related key executives from various key companies and organizations operating in the global market.

Primary research is conducted to identify segmentation types, product price range, product applications, key players, raw materials supply and the downstream demand, industry status and outlook, and key market dynamics such as risks, influence factors, opportunities, market barriers, industry trends, and key player strategies.

Data synthesis:

This step involves the analysis and mapping of all the information obtained from the previous step.

This process includes examining data to detect observed discrepancies when collecting market-related data. Data is collected based on the diversity of sources.

Data Screening:

 Data Screening is the process of closely examining the data/information collected from primary research for errors and correction of data stored before the data integration method.

 Screening involves checking raw data, identifying errors and handling missing data. Purpose of data filtering is to make sure the data entered correctly or not.

 Statistify market researchuses objective and systematic data screening notes that include repeated cycles of quality testing, screening and questionable analysis.

Data Integration:

 Multiple data streams need to be integrated to build research studies that give clients an in-depth picture. These data streams come from numerous research studies and our in-house database.

 After screening the data, our analysts perform and optimize the creative integration of the data sets, i.e., Connections between integrated surveys and syndicated data sources.

 There are mainly two research approaches. We follow to integrate our data; Top down approach and bottom up approach.

The following figure shows an illustrative representation of the overall market size estimation process used for this study.

Bottom-Up Approach:

Top- Down Approach:

Figure Bottom-up and Top-down Approaches for This Report

Market Deduction & Formulation

Top-down and bottom-up approaches are used to validate the market size market and to calculate the market size for players, region segments, product segments and applications (end users).

The market estimates in this report are based on the market price (excluding any discounts offered by the manufacturer, distributor, wholesaler or retailer). Percentage splitting, market share (%), and product category breakdown are based on the weightages assigned to each category based on their usage rate, average sales price. Local divisions of the total market and its subdivisions are based on the percentage of product received or consumed in a given region or country.

The key players in the market are identified through secondary research, and their market revenues is determined through primary and secondary research. Secondary research included the research of annual and financial reports of top players. Whereas, the primary research included extensive interviews of key opinion leaders related to the industry experts such as experienced CEOs, directors, manufacturers, distributors, business (sales) staff and customers and marketing executives. The percentage of divisions, market share (%), growth rate (%) and breakdowns of the product markets are ascertained using secondary sources and validated through primary sources.

All potential factors affecting the markets included in this research study are evaluated, elaborated and examined through preliminary research and analyzed to obtain quantitative and qualitative data. Market size is normalized for top-level markets and sub-segments, and the impact of inflation, recession, policy changes, regulatory, or other factors are not accounted for in the market forecast. This report presents the combination of these data with detailed contributions and analysis of statistical market research. This data is combined and added with detailed inputs and analysis from Statistify market researchand presented in this report.

Data Validation & Market Feedback

After complete market engineering with calculations for market statistics; market size estimations; market forecasting; market breakdown; and data triangulation, extensive primary research was conducted to gather information and verify and validate the critical numbers arrived at. In the complete market engineering process, both top-down and bottom-up approaches were extensively used, along with several data triangulation methods, to perform market estimation and market forecasting for the overall market segments and sub segments listed in this report. Extensive qualitative and further quantitative analysis is also done from all the numbers arrived at in the complete market engineering process to list key information throughout the report.

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