Artificial Intelligence in Aviation Market 2020 Global Industry Trends, Statistics, Size, Share, Regional Analysis by Key Players

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The report covers detailed competitive outlook including the market share and company profiles of the key participants operating in the global market. Key players profiled in the report Intel, NVIDIA, IBM, Micron, Samsung, Xilinx, Amazon, Microsoft, Airbus, Boeing, General Electric, Thales, Lockheed Martin, and Garmin. Company profile includes assign such as company summary, financial summary, business strategy and planning, SWOT analysis and current developments.

The Artificial Intelligence in Aviation Market is segmented on the lines of its offering, technology, end-user and regional. Based on offering it covers hardware and software. Based on technology it covers Natural Language Processing (NLP), Context Awareness Computing, Machine Learning and Computer Vision. Based on applications it Flight Operations, Smart Maintenance, Training, Virtual Assistants, Surveillance, Dynamic Pricing and Manufacturing. The Artificial Intelligence in Aviation Market on geographic segmentation covers various regions such as North America, Europe, Asia Pacific, Latin America, Middle East and Africa. Each geographic market is further segmented to provide market revenue for select countries such as the U.S., Canada, U.K. Germany, China, Japan, India, Brazil, and GCC countries.

This report provides:

1) An overview of the global market for Artificial Intelligence in Aviation Market and related technologies.
2) Analyses of global market trends, with data from 2015, estimates for 2016 and 2017, and projections of compound annual growth rates (CAGRs) through 2024.
3) Identifications of new market opportunities and targeted promotional plans for Artificial Intelligence in Aviation Market

4) Discussion of research and development, and the demand for new products and new applications.
5) Comprehensive company profiles of major players in the industry.

The major driving factors of Artificial Intelligence in Aviation Market are as follows:

• Use of massive knowledge in part trade

• Vital Increase in Capital Investments by Aviation corporations

• Rising Adoption of Cloud-Based Applications and Services in Aviation trade

The major restraining factors of Artificial Intelligence in Aviation Market are as follows:

• Limited range of specialists in AI

The Artificial Intelligence in Aviation Market has been segmented as below:

The Artificial Intelligence in Aviation Market is segmented on the Basis of Technology Type, Offering Type, Application Type and Regional Analysis.By Technology Type this market is segmented on the basis of Natural Language Processing (NLP), Context Awareness Computing, Machine Learning and Computer Vision. By Offering Type this market is segmented on the basis of Hardware and Software. By Application Type this market is segmented on the basis of Flight Operations, Smart Maintenance, Training, Virtual Assistants, Surveillance, Dynamic Pricing and Manufacturing. By Regional Analysis this market is segmented on the basis of North America, Europe, Asia Pacific, Latin America, Middle East and Africa.

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The scope of the report includes a detailed study of Artificial Intelligence in Aviation Market with the reasons given for variations in the growth of the industry in certain regions.

Table of Contents

1. Introduction

2. Research Methodology

3. Summary with Insights

4. Market Overview

5. Artificial Intelligence in Aviation Market Analysis, By Offering

6. Artificial Intelligence in Aviation Market Analysis, By Technology

7. Artificial Intelligence in Aviation Market Analysis, By Application

7.1 Flight Operations
7.2 Smart Maintenance
7.3 Training
7.4 Virtual Assistants
7.5 Surveillance
7.6 Dynamic Pricing
7.7 Manufacturing

1. Artificial Intelligence in Aviation Market Analysis, By Region

2. Competitive Overview

3. Company Profiles
   10.1 Airbus 10.2 Amazon 10.3 Boeing 10.4 Garmin 10.5 GE 10.6 IBM 10.7 Intel 10.8 IRIS Automation 10.9 Kittyhawk 10.10 Lockheed Martin 10.11 Micron 10.12 Microsoft 10.13 Neurala 10.14 Northrop Grumman 10.15 Nvidia 10.16 Pilot AI Labs 10.17 Samsung Electronics 10.18 Thales 10.19 Xilinx

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