Artificial Intelligence (AI) in Aviation Market Sales and Revenue Analysis Report 2021 to 2028

Acumen Research and Consulting has recently published a research report on the Artificial Intelligence (AI) in Aviation Market for the forecast period of 2022-2030, wherein, the global market has been analyzed and assessed in an extremely comprehensive manner. The research report on the Artificial Intelligence (AI) in Aviation Market offers an extensive analysis of how the postoperative pain therapeutics landscape would evolve through 2026.

The research study on the Artificial Intelligence (AI) in Aviation Market analyzes key drivers upholding product sales and prominent trends shaping the growth of the market. The research study not only focuses on the latent opportunities for the key stakeholders of the market, but also sheds light on the notable developments and future scope for innovation in the landscape.

Download Sample Report Copy Of This Report From Here:https://www.acumenresearchandconsulting.com/request-sample/2814

The report starts off with a quick executive summary, wherein, key takeaways have been highlighted for the readers to have a sneak peak at the key market segments. The research study by Acumen Research and Consulting on the market also talks about the macroeconomic and microeconomic factors having deep-rooted influences on global market growth. The research study on the Artificial Intelligence (AI) in Aviation Market also offers a regional analysis, wherein, demand across every region has been comprehensively analyzed.

Key Vendors Included as below:

Airbus SE, Amazon, Boeing, Garmin Ltd., General Electric, IBM Corporation, Intel Corporation, Lockheed Martin, Micron Technology, MiSmart Maintenanceoft, MINDTITAN, Neurala, Inc. NVIDIA corporation, Samsung Electronics, TAV Technologies, Thales Group, and Xilinx among others.

Key Questions Answered in the Report

The report addresses key questions concerning the market evolution and overarching trends shaping global market growth. Some of the key questions answered in the report include-

  • What is the overall structure of the market?
  • What was the historical value and what is the forecasted value of the market?
  • What are the key product level trends in the market?
  • What are the market level trends in the market?
  • Which of the market players are leading and what are their key differential strategies to retain their stronghold?
  • Which are the most lucrative regions in the market space?

Market Segment for this report as below:

Market By Offering

  • Hardware
  • Software
  • Services

Market By Application

  • Virtual Assistants
  • Smart Maintenance
  • Manufacturing
  • Training
  • Surveillance
  • Flight Operations
  • Dynamic Pricing

Market By Technology

  • Machine Learning
  • Natural Language Processing
  • Context Awareness Computing
  • Computer Vision

Table of Content:

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

Ask Query Here: sales@acumenresearchandconsulting.com

To Purchase this Premium Report@https://www.acumenresearchandconsulting.com/request-buy/2814

About Us

Acumen Research and Consulting (ARC) is a global provider of market intelligence and consulting services to information technology, investment, telecommunication, manufacturing, and consumer technology markets. ARC helps investment communities, IT professionals, and business executives to make fact based decisions on technology purchases and develop firm growth strategies to sustain market competition. With the team size of 100+ Analysts and collective industry experience of more than 200 years, Acumen Research and Consulting assures to deliver a combination of industry knowledge along with global and country level expertise.

Contact Us:

Mr. Frank Wilson
Acumen Research and Consulting
USA: +13474743864
India: +918983225533
E-mail: sales@acumenresearchandconsulting.com

Leave a Reply

Your email address will not be published. Required fields are marked *