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Artificial Intelligence (AI) in Aviation Market (By Offering: Hardware, Software, and Services; By Technology: Natural Language Processing, Machine Learning, Context Awareness Computing, and Computer Vision; By Application: Virtual Assistants, Smart Maintenance, Manufacturing, Training, Surveillance, Flight Operations, Dynamic Pricing, and Others) – Global Industry Analysis, Market Size, Opportunities and Forecast 2021-2028

Category : Aerospace and Defence | Delivery Format: PDF | Status: Published | Pages : 250

CHAPTER 1. Industry Overview of Artificial Intelligence (AI) in Aviation

1.1. Definition and Scope 

1.1.1. Definition of Artificial Intelligence (AI) in Aviation

1.1.2. Market Segmentation

1.1.3. Years Considered for the Study

1.1.4. Assumptions and Acronyms Used

1.1.4.1. Market Assumptions and Market Forecast

1.1.4.2. Acronyms Used in Global Artificial Intelligence (AI) in Aviation market

1.2. Summary

1.2.1. Executive Summary 

1.2.2. Artificial Intelligence (AI) in Aviation By Offering

1.2.3. Artificial Intelligence (AI) in Aviation By Application

1.2.4. Artificial Intelligence (AI) in Aviation By Deployment Model

1.2.5. Artificial Intelligence (AI) in Aviation by Regions


CHAPTER 2. Research Approach

2.1. Methodology 

2.1.1. Research Programs

2.1.2. Market Size Estimation

2.1.3. Market Breakdown and Data Triangulation

2.2. Data Source

2.2.1. Secondary Sources

2.2.2. Primary Sources


CHAPTER 3. Market Dynamics And Competition Analysis

3.1. Market Drivers

3.1.1. Driver 1

3.1.2. Driver 2

3.2. Restraints and Challenges

3.2.1. Restrain 1

3.2.2. Restrain 2

3.3. Growth Opportunities

3.3.1. Opportunity 1

3.3.2. Opportunity 2 

3.4. Porter’s Five Forces Analysis

3.4.1. Bargaining Power of Suppliers

3.4.2. Bargaining Power of Buyers

3.4.3. Threat of Substitute

3.4.4. Threat of New Entrants

3.4.5. Degree of Competition

3.5. Market Concentration Ratio and Market Maturity Analysis of Artificial Intelligence (AI) in Aviation Market

3.5.1. Go To Market Strategy

3.5.1.1. Introduction

3.5.1.2. Growth

3.5.1.3. Maturity

3.5.1.4. Saturation

3.5.1.5. Possible Development

3.6. Technological Roadmap for Artificial Intelligence (AI) in Aviation Market

3.7. Value Chain Analysis

3.7.1. List of Key Manufacturers 

3.7.2. List of Customers

3.7.3. Level of Integration

3.8. Regulatory Compliance

3.9. Competitive Landscape, 2020

3.9.1. Player Positioning Analysis

3.9.2. Key Strategies Adopted By Leading Players


CHAPTER 4. Artificial Intelligence (AI) in Aviation By Offering

4.1. Introduction

4.2. Artificial Intelligence (AI) in Aviation Revenue By Offering

4.2.1. Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast, By Offering, 2017-2028

4.2.2. Hardware

4.2.2.1. Hardware Market Revenue (US$ Mn) and Growth Rate (%), 2017-2028

4.2.3. Software

4.2.3.1. Software Market Revenue (US$ Mn) and Growth Rate (%), 2017-2028

4.2.4. Services

4.2.4.1. Services  Market Revenue (US$ Mn) and Growth Rate (%), 2017-2028


CHAPTER 5. Artificial Intelligence (AI) in Aviation Market Revenue By Application

5.1. Introduction

5.2. Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) By Application

5.2.1. Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Application, 2017-2028

5.2.2. Virtual Assistants

5.2.2.1. Virtual Assistants Market Revenue (US$ Mn) and Growth Rate (%), 2017-2028

5.2.3. Smart Maintenance

5.2.3.1. Smart Maintenance Market Revenue (US$ Mn) and Growth Rate (%), 2017-2028

5.2.4. Manufacturing

5.2.4.1. Manufacturing Market Revenue (US$ Mn) and Growth Rate (%), 2017-2028

5.2.5. Training

5.2.5.1. Training Market Revenue (US$ Mn) and Growth Rate (%), 2017-2028

5.2.6. Surveillance

5.2.6.1. Surveillance  Market Revenue (US$ Mn) and Growth Rate (%), 2017-2028

5.2.7. Flight Operations

5.2.7.1. Flight Operations  Market Revenue (US$ Mn) and Growth Rate (%), 2017-2028

5.2.8. Dynamic Pricing

5.2.8.1. Dynamic Pricing  Market Revenue (US$ Mn) and Growth Rate (%), 2017-2028

5.2.9. Others

5.2.9.1. Others Market Revenue (US$ Mn) and Growth Rate (%), 2017-2028


CHAPTER 6. Artificial Intelligence (AI) in Aviation Market By Technology 

6.1. Introduction

6.2. Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) By Deployment Model

6.2.1. Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Deployment Model, 2017-2028

6.2.2. Machine Learning

6.2.2.1. Machine Learning Market Revenue (US$ Mn) and Growth Rate (%), 2017-2028

6.2.3. Natural Language Processing

6.2.3.1. Natural Language Processing Market Revenue (US$ Mn) and Growth Rate (%), 2017-2028

6.2.4. Context Awareness Computing

6.2.4.1. Context Awareness Computing Market Revenue (US$ Mn) and Growth Rate (%), 2017-2028

6.2.5. Computer Vision

6.2.5.1. Computer Vision Market Revenue (US$ Mn) and Growth Rate (%), 2017-2028


CHAPTER 7. Artificial Intelligence (AI) in Aviation Market By Deployment Model 

7.1. Introduction

7.2. Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) By Deployment Model

7.2.1. Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Deployment Model, 2017-2028

7.2.2. Cloud-Based

7.2.2.1. Cloud-Based Market Revenue (US$ Mn) and Growth Rate (%), 2017-2028

7.2.3. On-Premise

7.2.3.1. On-Premise Market Revenue (US$ Mn) and Growth Rate (%), 2017-2028


CHAPTER 8. North America Artificial Intelligence (AI) in Aviation Market By Country 

8.1. North America Artificial Intelligence (AI) in Aviation Overview

8.2. U.S.

8.2.1. U.S. Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Offering, 2017-2028

8.2.2. U.S. Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Application, 2017-2028

8.2.3. U.S. Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Technology, 2017-2028

8.3. Canada

8.3.1. Canada Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Offering, 2017-2028

8.3.2. Canada Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Application, 2017-2028

8.3.3. Canada Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Technology, 2017-2028

8.4. North America PEST Analysis


CHAPTER 9. Europe Artificial Intelligence (AI) in Aviation Market By Country

9.1. Europe Artificial Intelligence (AI) in Aviation Overview

9.2. U.K.

9.2.1. U.K. Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Offering, 2017-2028

9.2.2. U.K. Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Application, 2017-2028

9.2.3. U.K. Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Technology, 2017-2028

9.3. Germany

9.3.1. Germany Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Offering, 2017-2028

9.3.2. Germany Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Application, 2017-2028

9.3.3. Germany Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Technology, 2017-2028

9.4. France 

9.4.1. France Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Offering, 2017-2028

9.4.2. France Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Application, 2017-2028

9.4.3. France Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Technology, 2017-2028

9.5. Spain

9.5.1. Spain Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Offering, 2017-2028

9.5.2. Spain Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Application, 2017-2028

9.5.3. Spain Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Technology, 2017-2028

9.6. Rest of Europe

9.6.1. Rest of Europe Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Offering, 2017-2028

9.6.2. Rest of Europe Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Application, 2017-2028

9.6.3. Rest of Europe Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Technology, 2017-2028

9.7. Europe PEST Analysis


CHAPTER 10. Asia Pacific Artificial Intelligence (AI) in Aviation Market By Country

10.1. Asia Pacific Artificial Intelligence (AI) in Aviation Overview

10.2. China

10.2.1. China Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Offering, 2017-2028

10.2.2. China Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Application, 2017-2028

10.2.3. China Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Technology, 2017-2028

10.3. Japan

10.3.1. Japan Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Offering, 2017-2028

10.3.2. Japan Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Application, 2017-2028

10.3.3. Japan Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Technology, 2017-2028

10.4. India

10.4.1. India Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Offering, 2017-2028

10.4.2. India Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Application, 2017-2028

10.4.3. India Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Technology, 2017-2028

10.5. Australia

10.5.1. Australia Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Offering, 2017-2028

10.5.2. Australia Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Application, 2017-2028

10.5.3. Australia Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Technology, 2017-2028

10.6. South Korea

10.6.1. South Korea Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Offering, 2017-2028

10.6.2. South Korea Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Application, 2017-2028

10.6.3. South Korea Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Technology, 2017-2028

10.7. Rest of Asia-Pacific

10.7.1. Rest of Asia-Pacific Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Offering, 2017-2028

10.7.2. Rest of Asia-Pacific Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Application, 2017-2028

10.7.3. Rest of Asia-Pacific Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Technology, 2017-2028

10.8. Asia Pacific PEST Analysis


CHAPTER 11. Latin America Artificial Intelligence (AI) in Aviation Market By Country

11.1. Latin America Artificial Intelligence (AI) in Aviation Overview

11.2. Brazil

11.2.1. Brazil Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Offering, 2017-2028

11.2.2. Brazil Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Application, 2017-2028

11.2.3. Brazil Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Technology, 2017-2028

11.3. Mexico

11.3.1. Mexico Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Offering, 2017-2028

11.3.2. Mexico Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Application, 2017-2028

11.3.3. Mexico Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Technology, 2017-2028

11.4. Rest of Latin America

11.4.1. Rest of Latin America Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Offering, 2017-2028

11.4.2. Rest of Latin America Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Application, 2017-2028

11.4.3. Rest of Latin America Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Technology, 2017-2028

11.5. Latin America PEST Analysis


CHAPTER 12. Middle East & Africa Artificial Intelligence (AI) in Aviation Market By Country 

12.1. Middle East & Africa Artificial Intelligence (AI) in Aviation Overview

12.2. GCC

12.2.1. GCC Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Offering, 2017-2028

12.2.2. GCC Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Application, 2017-2028

12.2.3. GCC Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Technology, 2017-2028

12.3. South Africa

12.3.1. South Africa Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Offering, 2017-2028

12.3.2. South Africa Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Application, 2017-2028

12.3.3. South Africa Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Technology, 2017-2028

12.4. Rest of Middle East & Africa

12.4.1. Rest of Middle East & Africa Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Offering, 2017-2028

12.4.2. Rest of Middle East & Africa Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Application, 2017-2028

12.4.3. Rest of Middle East & Africa Artificial Intelligence (AI) in Aviation Revenue (US$ Mn) and Forecast By Technology, 2017-2028

12.5. Middle East & Africa PEST Analysis


CHAPTER 13. Player Analysis Of Artificial Intelligence (AI) in Aviation

13.1. Artificial Intelligence (AI) in Aviation Company Share Analysis

13.2. Competition Matrix

13.2.1. Competitive Benchmarking of key players by price, presence, market share, and R&D investment

13.2.2. New Product Launches and Product Enhancements

13.2.3. Mergers And Acquisition In Global Artificial Intelligence (AI) in Aviation market

13.2.4. Partnership, Joint Ventures and Strategic Alliances/ Sales Agreements


CHAPTER 14. COMPANY PROFILE

14.1. Airbus SE

14.1.1. Company Snapshot

14.1.2. Business Overview

14.1.3. Financial Overview

14.1.3.1. Revenue (US$ Mn), 2020

14.1.3.2. Airbus SE2019 Artificial Intelligence (AI) in Aviation Business Regional Distribution

14.1.4. Product/Service and Specification

14.1.5. Recent Developments & Business Strategy

14.1.6. Manufacturing Plant Footprint Analysis

14.2. Amazon

14.3. Boeing

14.4. Garmin Ltd.

14.5. General Electric

14.6. IBM CORPORATION

14.7. Intel Corporation

14.8. Lockheed Martin

14.9. Micron Technology

14.10. Microsoft Corporation

14.11. MINDTITAN

14.12. Neurala, Inc.

14.13. NVIDIA CORPORATION

14.14. Samsung Electronics

14.15. TAV Technologie

14.16. Thales Group

14.17. Xilinx

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