Artificial Intelligence in Aviation Market 2027 by Types, Application, Technology, Opportunities, End Users and Regions | The Insight Partners

Artificial Intelligence in Aviation Market to 2027 - Global Analysis and Forecasts by Offerings (Software, Service); Technology (Machine Learning, Natural Language Processing (NlP), Context Awareness Computing, Computer Vision); Application (Smart Maintenance, Flight Operations, Training, Surveillance, Others) and Geography

Report Code: TIPRE00004319 | No. of Pages: 150 | Category: Aerospace and Defense | Status: Upcoming

MARKET INTRODUCTION

Growing urbanization has resulted in advent of several disruptive technologies including the artificial intelligence. The AI has become integrated fragment of almost the sectors and recently the technology has also taken a plunge into aviation sector. Autopilot and flight management system are some of the key areas of implementation of the AI in aviation industry.

MARKET DYNAMICS

The Artificial Intelligence in Aviation market is anticipated to grow in the forecast period owing to driving factors such as readily available advanced computing capabilities and explosion in the data availability and processing needs. The market is likely to showcase opportunities as the industry continues to invest in its IT and analytics capabilities. Furthermore, integration of connectivity on-board is also expected to provide the market with significant growth motivation.

MARKET SCOPE

The "Global Artificial Intelligence in Aviation Market Analysis to 2027" is a specialized and in-depth study of the Artificial Intelligence in Aviation industry with a special focus on the global market trend analysis. The report aims to provide an overview of Artificial Intelligence in Aviation market with detailed market segmentation by offering, technology, application, and geography. The global Artificial Intelligence in Aviation market is expected to witness high growth during the forecast period. The report provides key statistics on the market status of the leading Artificial Intelligence in Aviation market players and offers key trends and opportunities in the market.

MARKET SEGMENTATION

The global Artificial Intelligence in Aviation market is segmented on the basis of offering, technology, application. Based offering, the market is segmented as Software, Service. On the basis of the technology the market is segmented as Machine Learning, Natural Language Processing (NlP), Context Awareness Computing, and Computer Vision. The market on the basis of the end user is classified as Smart Maintenance, Flight Operations, Training, Surveillance, and Others.



REGIONAL FRAMEWORK

The report provides a detailed overview of the industry including both qualitative and quantitative information. It provides overview and forecast of the global Artificial Intelligence in Aviation market based on various segments. It also provides market size and forecast estimates from year 2017 to 2027 with respect to five major regions, namely; North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA) and South & Central America. The Artificial Intelligence in Aviation market by each region is later sub-segmented by respective countries and segments. The report covers analysis and forecast of 18 countries globally along with current trend and opportunities prevailing in the region.

The report analyzes factors affecting Artificial Intelligence in Aviation market from both demand and supply side and further evaluates market dynamics effecting the market during the forecast period i.e., drivers, restraints, opportunities, and future trend. The report also provides exhaustive PEST analysis for all five regions namely; North America, Europe, APAC, MEA and South & Central America after evaluating political, economic, social and technological factors effecting the Artificial Intelligence in Aviation market in these regions.



MARKET PLAYERS

The reports cover key developments in the Artificial Intelligence in Aviation market as organic and inorganic growth strategies. Various companies are focusing on organic growth strategies such as product launches, product approvals and others such as patents and events. Inorganic growth strategies activities witnessed in the market were acquisitions, and partnership & collaborations. These activities have paved way for expansion of business and customer base of market players. The market payers from Artificial Intelligence in Aviation market are anticipated to lucrative growth opportunities in the future with the rising demand for Artificial Intelligence in Aviation in the global market. Below mentioned is the list of few companies engaged in the Artificial Intelligence in Aviation market.

The report also includes the profiles of key Artificial Intelligence in Aviation companies along with their SWOT analysis and market strategies. In addition, the report focuses on leading industry players with information such as company profiles, components and services offered, financial information of last 3 years, key development in past five years.

  • AIRBUS
  • AMAZON
  • BOEING
  • INTEL CORPORATION
  • IBM CORP.
  • MICRON
  • MICROSOFT
  • NVIDIA
  • SAMSUNG
  • XILINX INC.
The Insight Partner's dedicated research and analysis team consist of experienced professionals with advanced statistical expertise and offer various customization options in the existing study.
 
TABLE OF CONTENTS

1.   INTRODUCTION
1.1.   SCOPE OF THE STUDY
1.2.   THE INSIGHT PARTNERS RESEARCH REPORT GUIDANCE
1.3.   MARKET SEGMENTATION
1.3.1   Artificial Intelligence In Aviation - By Offerings
1.3.2   Artificial Intelligence In Aviation - By Technology
1.3.3   Artificial Intelligence In Aviation - By Application
1.3.4   Artificial Intelligence In Aviation - By Region
1.3.4.1   By Country

2.   KEY TAKEWAYS

3.   RESEARCH METHODOLOGY

4.   ARTIFICIAL INTELLIGENCE IN AVIATION LANDSCAPE
4.1.   OVERVIEW
4.2.   PEST ANALYSIS
4.2.1   North America - Pest Analysis
4.2.2   Europe - Pest Analysis
4.2.3   Asia-Pacific - Pest Analysis
4.2.4   Middle East and Africa - Pest Analysis
4.2.5   South and Central America - Pest Analysis
4.3.   ECOSYSTEM ANALYSIS
4.4.   EXPERT OPINIONS

5.   ARTIFICIAL INTELLIGENCE IN AVIATION - KEY MARKET DYNAMICS
5.1.   KEY MARKET DRIVERS
5.2.   KEY MARKET RESTRAINTS
5.3.   KEY MARKET OPPORTUNITIES
5.4.   FUTURE TRENDS
5.5.   IMPACT ANALYSIS OF DRIVERS AND RESTRAINTS

6.   ARTIFICIAL INTELLIGENCE IN AVIATION - GLOBAL MARKET ANALYSIS
6.1.   ARTIFICIAL INTELLIGENCE IN AVIATION - GLOBAL MARKET OVERVIEW
6.2.   ARTIFICIAL INTELLIGENCE IN AVIATION - GLOBAL MARKET AND FORECAST TO 2027
6.3.   MARKET POSITIONING/MARKET SHARE

7.   ARTIFICIAL INTELLIGENCE IN AVIATION - REVENUE AND FORECASTS TO 2027 - OFFERINGS
7.1.   OVERVIEW
7.2.   OFFERINGS MARKET FORECASTS AND ANALYSIS
7.3.   SOFTWARE
7.3.1.   Overview
7.3.2.   Software Market Forecast and Analysis
7.4.   SERVICE
7.4.1.   Overview
7.4.2.   Service Market Forecast and Analysis
8.   ARTIFICIAL INTELLIGENCE IN AVIATION - REVENUE AND FORECASTS TO 2027 - TECHNOLOGY
8.1.   OVERVIEW
8.2.   TECHNOLOGY MARKET FORECASTS AND ANALYSIS
8.3.   MACHINE LEARNING
8.3.1.   Overview
8.3.2.   Machine Learning Market Forecast and Analysis
8.4.   NATURAL LANGUAGE PROCESSING (NLP)
8.4.1.   Overview
8.4.2.   Natural Language Processing (NlP) Market Forecast and Analysis
8.5.   CONTEXT AWARENESS COMPUTING
8.5.1.   Overview
8.5.2.   Context Awareness Computing Market Forecast and Analysis
8.6.   COMPUTER VISION
8.6.1.   Overview
8.6.2.   Computer Vision Market Forecast and Analysis
9.   ARTIFICIAL INTELLIGENCE IN AVIATION - REVENUE AND FORECASTS TO 2027 - APPLICATION
9.1.   OVERVIEW
9.2.   APPLICATION MARKET FORECASTS AND ANALYSIS
9.3.   SMART MAINTENANCE
9.3.1.   Overview
9.3.2.   Smart Maintenance Market Forecast and Analysis
9.4.   FLIGHT OPERATIONS
9.4.1.   Overview
9.4.2.   Flight Operations Market Forecast and Analysis
9.5.   TRAINING
9.5.1.   Overview
9.5.2.   Training Market Forecast and Analysis
9.6.   SURVEILLANCE
9.6.1.   Overview
9.6.2.   Surveillance Market Forecast and Analysis
9.7.   OTHERS
9.7.1.   Overview
9.7.2.   Others Market Forecast and Analysis

10.   ARTIFICIAL INTELLIGENCE IN AVIATION REVENUE AND FORECASTS TO 2027 - GEOGRAPHICAL ANALYSIS
10.1.   NORTH AMERICA
10.1.1   North America Artificial Intelligence In Aviation Overview
10.1.2   North America Artificial Intelligence In Aviation Forecasts and Analysis
10.1.3   North America Artificial Intelligence In Aviation Forecasts and Analysis - By Offerings
10.1.4   North America Artificial Intelligence In Aviation Forecasts and Analysis - By Technology
10.1.5   North America Artificial Intelligence In Aviation Forecasts and Analysis - By Application
10.1.6   North America Artificial Intelligence In Aviation Forecasts and Analysis - By Countries
10.1.6.1   United States Artificial Intelligence In Aviation
10.1.6.1.1   United States Artificial Intelligence In Aviation by Offerings
10.1.6.1.2   United States Artificial Intelligence In Aviation by Technology
10.1.6.1.3   United States Artificial Intelligence In Aviation by Application
10.1.6.2   Canada Artificial Intelligence In Aviation
10.1.6.2.1   Canada Artificial Intelligence In Aviation by Offerings
10.1.6.2.2   Canada Artificial Intelligence In Aviation by Technology
10.1.6.2.3   Canada Artificial Intelligence In Aviation by Application
10.1.6.3   Mexico Artificial Intelligence In Aviation
10.1.6.3.1   Mexico Artificial Intelligence In Aviation by Offerings
10.1.6.3.2   Mexico Artificial Intelligence In Aviation by Technology
10.1.6.3.3   Mexico Artificial Intelligence In Aviation by Application
10.2.   EUROPE
10.2.1   Europe Artificial Intelligence In Aviation Overview
10.2.2   Europe Artificial Intelligence In Aviation Forecasts and Analysis
10.2.3   Europe Artificial Intelligence In Aviation Forecasts and Analysis - By Offerings
10.2.4   Europe Artificial Intelligence In Aviation Forecasts and Analysis - By Technology
10.2.5   Europe Artificial Intelligence In Aviation Forecasts and Analysis - By Application
10.2.6   Europe Artificial Intelligence In Aviation Forecasts and Analysis - By Countries
10.2.6.1   Germany Artificial Intelligence In Aviation
10.2.6.1.1   Germany Artificial Intelligence In Aviation by Offerings
10.2.6.1.2   Germany Artificial Intelligence In Aviation by Technology
10.2.6.1.3   Germany Artificial Intelligence In Aviation by Application
10.2.6.2   France Artificial Intelligence In Aviation
10.2.6.2.1   France Artificial Intelligence In Aviation by Offerings
10.2.6.2.2   France Artificial Intelligence In Aviation by Technology
10.2.6.2.3   France Artificial Intelligence In Aviation by Application
10.2.6.3   Italy Artificial Intelligence In Aviation
10.2.6.3.1   Italy Artificial Intelligence In Aviation by Offerings
10.2.6.3.2   Italy Artificial Intelligence In Aviation by Technology
10.2.6.3.3   Italy Artificial Intelligence In Aviation by Application
10.2.6.4   United Kingdom Artificial Intelligence In Aviation
10.2.6.4.1   United Kingdom Artificial Intelligence In Aviation by Offerings
10.2.6.4.2   United Kingdom Artificial Intelligence In Aviation by Technology
10.2.6.4.3   United Kingdom Artificial Intelligence In Aviation by Application
10.2.6.5   Russia Artificial Intelligence In Aviation
10.2.6.5.1   Russia Artificial Intelligence In Aviation by Offerings
10.2.6.5.2   Russia Artificial Intelligence In Aviation by Technology
10.2.6.5.3   Russia Artificial Intelligence In Aviation by Application
10.2.6.6   Rest of Europe Artificial Intelligence In Aviation
10.2.6.6.1   Rest of Europe Artificial Intelligence In Aviation by Offerings
10.2.6.6.2   Rest of Europe Artificial Intelligence In Aviation by Technology
10.2.6.6.3   Rest of Europe Artificial Intelligence In Aviation by Application
10.3.   ASIA-PACIFIC
10.3.1   Asia-Pacific Artificial Intelligence In Aviation Overview
10.3.2   Asia-Pacific Artificial Intelligence In Aviation Forecasts and Analysis
10.3.3   Asia-Pacific Artificial Intelligence In Aviation Forecasts and Analysis - By Offerings
10.3.4   Asia-Pacific Artificial Intelligence In Aviation Forecasts and Analysis - By Technology
10.3.5   Asia-Pacific Artificial Intelligence In Aviation Forecasts and Analysis - By Application
10.3.6   Asia-Pacific Artificial Intelligence In Aviation Forecasts and Analysis - By Countries
10.3.6.1   Australia Artificial Intelligence In Aviation
10.3.6.1.1   Australia Artificial Intelligence In Aviation by Offerings
10.3.6.1.2   Australia Artificial Intelligence In Aviation by Technology
10.3.6.1.3   Australia Artificial Intelligence In Aviation by Application
10.3.6.2   China Artificial Intelligence In Aviation
10.3.6.2.1   China Artificial Intelligence In Aviation by Offerings
10.3.6.2.2   China Artificial Intelligence In Aviation by Technology
10.3.6.2.3   China Artificial Intelligence In Aviation by Application
10.3.6.3   India Artificial Intelligence In Aviation
10.3.6.3.1   India Artificial Intelligence In Aviation by Offerings
10.3.6.3.2   India Artificial Intelligence In Aviation by Technology
10.3.6.3.3   India Artificial Intelligence In Aviation by Application
10.3.6.4   Japan Artificial Intelligence In Aviation
10.3.6.4.1   Japan Artificial Intelligence In Aviation by Offerings
10.3.6.4.2   Japan Artificial Intelligence In Aviation by Technology
10.3.6.4.3   Japan Artificial Intelligence In Aviation by Application
10.3.6.5   South Korea Artificial Intelligence In Aviation
10.3.6.5.1   South Korea Artificial Intelligence In Aviation by Offerings
10.3.6.5.2   South Korea Artificial Intelligence In Aviation by Technology
10.3.6.5.3   South Korea Artificial Intelligence In Aviation by Application
10.3.6.6   Rest of Asia-Pacific Artificial Intelligence In Aviation
10.3.6.6.1   Rest of Asia-Pacific Artificial Intelligence In Aviation by Offerings
10.3.6.6.2   Rest of Asia-Pacific Artificial Intelligence In Aviation by Technology
10.3.6.6.3   Rest of Asia-Pacific Artificial Intelligence In Aviation by Application
10.4.   MIDDLE EAST AND AFRICA
10.4.1   Middle East and Africa Artificial Intelligence In Aviation Overview
10.4.2   Middle East and Africa Artificial Intelligence In Aviation Forecasts and Analysis
10.4.3   Middle East and Africa Artificial Intelligence In Aviation Forecasts and Analysis - By Offerings
10.4.4   Middle East and Africa Artificial Intelligence In Aviation Forecasts and Analysis - By Technology
10.4.5   Middle East and Africa Artificial Intelligence In Aviation Forecasts and Analysis - By Application
10.4.6   Middle East and Africa Artificial Intelligence In Aviation Forecasts and Analysis - By Countries
10.4.6.1   South Africa Artificial Intelligence In Aviation
10.4.6.1.1   South Africa Artificial Intelligence In Aviation by Offerings
10.4.6.1.2   South Africa Artificial Intelligence In Aviation by Technology
10.4.6.1.3   South Africa Artificial Intelligence In Aviation by Application
10.4.6.2   Saudi Arabia Artificial Intelligence In Aviation
10.4.6.2.1   Saudi Arabia Artificial Intelligence In Aviation by Offerings
10.4.6.2.2   Saudi Arabia Artificial Intelligence In Aviation by Technology
10.4.6.2.3   Saudi Arabia Artificial Intelligence In Aviation by Application
10.4.6.3   U.A.E Artificial Intelligence In Aviation
10.4.6.3.1   U.A.E Artificial Intelligence In Aviation by Offerings
10.4.6.3.2   U.A.E Artificial Intelligence In Aviation by Technology
10.4.6.3.3   U.A.E Artificial Intelligence In Aviation by Application
10.4.6.4   Rest of Middle East and Africa Artificial Intelligence In Aviation
10.4.6.4.1   Rest of Middle East and Africa Artificial Intelligence In Aviation by Offerings
10.4.6.4.2   Rest of Middle East and Africa Artificial Intelligence In Aviation by Technology
10.4.6.4.3   Rest of Middle East and Africa Artificial Intelligence In Aviation by Application
10.5.   SOUTH AND CENTRAL AMERICA
10.5.1   South and Central America Artificial Intelligence In Aviation Overview
10.5.2   South and Central America Artificial Intelligence In Aviation Forecasts and Analysis
10.5.3   South and Central America Artificial Intelligence In Aviation Forecasts and Analysis - By Offerings
10.5.4   South and Central America Artificial Intelligence In Aviation Forecasts and Analysis - By Technology
10.5.5   South and Central America Artificial Intelligence In Aviation Forecasts and Analysis - By Application
10.5.6   South and Central America Artificial Intelligence In Aviation Forecasts and Analysis - By Countries
10.5.6.1   Brazil Artificial Intelligence In Aviation
10.5.6.1.1   Brazil Artificial Intelligence In Aviation by Offerings
10.5.6.1.2   Brazil Artificial Intelligence In Aviation by Technology
10.5.6.1.3   Brazil Artificial Intelligence In Aviation by Application
10.5.6.2   Argentina Artificial Intelligence In Aviation
10.5.6.2.1   Argentina Artificial Intelligence In Aviation by Offerings
10.5.6.2.2   Argentina Artificial Intelligence In Aviation by Technology
10.5.6.2.3   Argentina Artificial Intelligence In Aviation by Application
10.5.6.3   Rest of South and Central America Artificial Intelligence In Aviation
10.5.6.3.1   Rest of South and Central America Artificial Intelligence In Aviation by Offerings
10.5.6.3.2   Rest of South and Central America Artificial Intelligence In Aviation by Technology
10.5.6.3.3   Rest of South and Central America Artificial Intelligence In Aviation by Application

11.   INDUSTRY LANDSCAPE
11.1.   MERGERS AND ACQUISITIONS
11.2.   AGREEMENTS, COLLABORATIONS AND JOIN VENTURES
11.3.   NEW PRODUCT LAUNCHES
11.4.   EXPANSIONS AND OTHER STRATEGIC DEVELOPMENTS

12.   ARTIFICIAL INTELLIGENCE IN AVIATION, KEY COMPANY PROFILES
12.1.   AIRBUS
12.1.1.   Key Facts
12.1.2.   Business Description
12.1.3.   Products and Services
12.1.4.   Financial Overview
12.1.5.   SWOT Analysis
12.1.6.   Key Developments
12.2.   AMAZON
12.2.1.   Key Facts
12.2.2.   Business Description
12.2.3.   Products and Services
12.2.4.   Financial Overview
12.2.5.   SWOT Analysis
12.2.6.   Key Developments
12.3.   BOEING
12.3.1.   Key Facts
12.3.2.   Business Description
12.3.3.   Products and Services
12.3.4.   Financial Overview
12.3.5.   SWOT Analysis
12.3.6.   Key Developments
12.4.   INTEL CORPORATION
12.4.1.   Key Facts
12.4.2.   Business Description
12.4.3.   Products and Services
12.4.4.   Financial Overview
12.4.5.   SWOT Analysis
12.4.6.   Key Developments
12.5.   IBM CORP.
12.5.1.   Key Facts
12.5.2.   Business Description
12.5.3.   Products and Services
12.5.4.   Financial Overview
12.5.5.   SWOT Analysis
12.5.6.   Key Developments
12.6.   MICRON
12.6.1.   Key Facts
12.6.2.   Business Description
12.6.3.   Products and Services
12.6.4.   Financial Overview
12.6.5.   SWOT Analysis
12.6.6.   Key Developments
12.7.   MICROSOFT
12.7.1.   Key Facts
12.7.2.   Business Description
12.7.3.   Products and Services
12.7.4.   Financial Overview
12.7.5.   SWOT Analysis
12.7.6.   Key Developments
12.8.   NVIDIA
12.8.1.   Key Facts
12.8.2.   Business Description
12.8.3.   Products and Services
12.8.4.   Financial Overview
12.8.5.   SWOT Analysis
12.8.6.   Key Developments
12.9.   SAMSUNG
12.9.1.   Key Facts
12.9.2.   Business Description
12.9.3.   Products and Services
12.9.4.   Financial Overview
12.9.5.   SWOT Analysis
12.9.6.   Key Developments
12.10.   XILINX INC.
12.10.1.   Key Facts
12.10.2.   Business Description
12.10.3.   Products and Services
12.10.4.   Financial Overview
12.10.5.   SWOT Analysis
12.10.6.   Key Developments

13.   APPENDIX
13.1.   ABOUT THE INSIGHT PARTNERS
13.2.   GLOSSARY OF TERMS
The List of Companies

1. Airbus
2. Amazon
3. Boeing
4. Intel Corporation
5. IBM Corp.
6. Micron
7. Microsoft
8. NVIDIA
9. Samsung
10. Xilinx Inc.
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