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Artificial Intelligence in Aviation Market Size, Growth, Demands Outlook and Forecasts to 2030

Precedence Research - February 03, 2023

According to the research report, the global artificial intelligence in aviation market size is expected to touch USD 9,985.86 million by 2030, from USD 885.03 Billion in 2022, growing with a significant CAGR of 35.38% from 2022 to 2030. 

Artificial Intelligence in Aviation Market Size 2021 to 2030

The artificial intelligence in aviation report offers a comprehensive study of the current state expected at the major drivers, market strategies, and key vendors’ growth. The report presents energetic visions to conclude and study the market size, market hopes, and competitive surroundings. The research also focuses on the important achievements of the market, research & development, and regional growth of the leading competitors operating in the market. The current trends of the global artificial intelligence in aviation in conjunction with the geographical landscape of this vertical have also been included in this report.

The report offers intricate dynamics about different aspects of the global artificial intelligence in aviation market, which aids companies operating in the market in making strategic development decisions. The study also elaborates on significant changes that are highly anticipated to configure growth of the global artificial intelligence in aviation during the forecast period. It also includes a key indicator assessment that highlights growth prospects of this market and estimates statistics related to growth of the market in terms of value (US$ Mn) and volume (tons).

Sample Link @ https://www.precedenceresearch.com/sample/1748

 Report Scope of the Artificial Intelligence in Aviation Market

Report CoverageDetails
Market Size by 2030USD 9,985.86 Million
Growth Rate from 2022 to 2030

CAGR of 35.38%

Largest Market North America 
Most Opportunistic Market Asia Pacific 
Base Year2021
Forecast Period2022 to 2030
Segments CoveredOffering, Technology, Application, Geography

This study covers a detailed segmentation of the global artificial intelligence in aviation market, along with key information and a competition outlook. The report mentions company profiles of players that are currently dominating the global artificial intelligence in aviation market, wherein various developments, expansions, and winning strategies practiced and implemented by leading players have been presented in detail.

Key Players

  • Samsung Electronics
  • Intel
  • Xilinx
  • Thales
  • IBM
  • Amazon
  • Nvidia
  • Microsoft
  • Garmin
  • Lockheed Martin

Market Segmentation

 By Offering

  • Hardware
  • Software
  • Services

By Technology

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

By Application

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

 By Geography

  • North America
    • U.S.
    • Canada
  • Europe
    • U.K.
    • Germany
    • France
  • Asia-Pacific
    • China
    • India
    • Japan
    • South Korea
    • Malaysia
    • Philippines
  • Latin America
    • Brazil
    • Rest of Latin America
  • Middle East & Africa (MEA)
    • GCC
    • North Africa
    • South Africa
    • Rest of the Middle East & Africa

Research Methodology

The research methodology adopted by analysts for compiling the global artificial intelligence in aviation report is based on detailed primary as well as secondary research. With the help of in-depth insights of the market-affiliated information that is obtained and legitimated by market-admissible resources, analysts have offered riveting observations and authentic forecasts for the global market.

During the primary research phase, analysts interviewed market stakeholders, investors, brand managers, vice presidents, and sales and marketing managers. Based on data obtained through interviews of genuine resources, analysts have emphasized the changing scenario of the global market.

For secondary research, analysts scrutinized numerous annual report publications, white papers, market association publications, and company websites to obtain the necessary understanding of the global artificial intelligence in aviation market.

TABLE OF CONTENT

Chapter 1. Introduction

1.1. Research Objective

1.2. Scope of the Study

1.3. Definition

Chapter 2. Research Methodology

2.1. Research Approach

2.2. Data Sources

2.3. Assumptions & Limitations

Chapter 3. Executive Summary

3.1. Market Snapshot

Chapter 4. Market Variables and Scope 

4.1. Introduction

4.2. Market Classification and Scope

4.3. Industry Value Chain Analysis

4.3.1. Raw Material Procurement Analysis 

4.3.2. Sales and Distribution Channel Analysis

4.3.3. Downstream Buyer Analysis

Chapter 5. COVID 19 Impact on Artificial Intelligence in Aviation Market 

5.1. COVID-19 Landscape: Artificial Intelligence in Aviation Industry Impact

5.2. COVID 19 - Impact Assessment for the Industry

5.3. COVID 19 Impact: Global Major Government Policy

5.4. Market Trends and Opportunities in the COVID-19 Landscape

Chapter 6. Market Dynamics Analysis and Trends

6.1. Market Dynamics

6.1.1. Market Drivers

6.1.2. Market Restraints

6.1.3. Market Opportunities

6.2. Porter’s Five Forces Analysis

6.2.1. Bargaining power of suppliers

6.2.2. Bargaining power of buyers

6.2.3. Threat of substitute

6.2.4. Threat of new entrants

6.2.5. Degree of competition

Chapter 7. Competitive Landscape

7.1.1. Company Market Share/Positioning Analysis

7.1.2. Key Strategies Adopted by Players

7.1.3. Vendor Landscape

7.1.3.1. List of Suppliers

7.1.3.2. List of Buyers

Chapter 8. Global Artificial Intelligence in Aviation Market, By Offering

8.1. Artificial Intelligence in Aviation Market, by Offering, 2022-2030

8.1.1 Hardware

8.1.1.1. Market Revenue and Forecast (2017-2030)

8.1.2. Software

8.1.2.1. Market Revenue and Forecast (2017-2030)

8.1.3. Services

8.1.3.1. Market Revenue and Forecast (2017-2030)

Chapter 9. Global Artificial Intelligence in Aviation Market, By Technology

9.1. Artificial Intelligence in Aviation Market, by Technology, 2022-2030

9.1.1. Machine Learning

9.1.1.1. Market Revenue and Forecast (2017-2030)

9.1.2. Context Awareness Computing

9.1.2.1. Market Revenue and Forecast (2017-2030)

9.1.3. Natural Language Processing

9.1.3.1. Market Revenue and Forecast (2017-2030)

9.1.4. Computer Vision

9.1.4.1. Market Revenue and Forecast (2017-2030)

9.1.5. Others

9.1.5.1. Market Revenue and Forecast (2017-2030)

Chapter 10. Global Artificial Intelligence in Aviation Market, By Application 

10.1. Artificial Intelligence in Aviation Market, by Application, 2022-2030

10.1.1. Smart Maintenance

10.1.1.1. Market Revenue and Forecast (2017-2030)

10.1.2. Training

10.1.2.1. Market Revenue and Forecast (2017-2030)

10.1.3. Manufacturing

10.1.3.1. Market Revenue and Forecast (2017-2030)

10.1.4. Flight Operations

10.1.4.1. Market Revenue and Forecast (2017-2030)

10.1.5. Virtual Assistants

10.1.5.1. Market Revenue and Forecast (2017-2030)

10.1.6. Dynamic Pricing

10.1.5.1. Market Revenue and Forecast (2017-2030)

10.1.7. Surveillance

10.1.7.1. Market Revenue and Forecast (2017-2030)

10.1.8. Others

10.1.8.1. Market Revenue and Forecast (2017-2030)

Chapter 11. Global Artificial Intelligence in Aviation Market, Regional Estimates and Trend Forecast

11.1. North America

11.1.1. Market Revenue and Forecast, by Offering (2017-2030)

11.1.2. Market Revenue and Forecast, by Technology (2017-2030)

11.1.3. Market Revenue and Forecast, by Application (2017-2030)

11.1.4. U.S.

11.1.4.1. Market Revenue and Forecast, by Offering (2017-2030)

11.1.4.2. Market Revenue and Forecast, by Technology (2017-2030)

11.1.4.3. Market Revenue and Forecast, by Application (2017-2030)

11.1.5. Rest of North America

11.1.5.1. Market Revenue and Forecast, by Offering (2017-2030)

11.1.5.2. Market Revenue and Forecast, by Technology (2017-2030)

11.1.5.3. Market Revenue and Forecast, by Application (2017-2030)

11.2. Europe

11.2.1. Market Revenue and Forecast, by Offering (2017-2030)

11.2.2. Market Revenue and Forecast, by Technology (2017-2030)

11.2.3. Market Revenue and Forecast, by Application (2017-2030)

11.2.4. UK

11.2.4.1. Market Revenue and Forecast, by Offering (2017-2030)

11.2.4.2. Market Revenue and Forecast, by Technology (2017-2030)

11.2.4.3. Market Revenue and Forecast, by Application (2017-2030)

11.2.5. Germany

11.2.5.1. Market Revenue and Forecast, by Offering (2017-2030)

11.2.5.2. Market Revenue and Forecast, by Technology (2017-2030)

11.2.5.3. Market Revenue and Forecast, by Application (2017-2030)

11.2.6. France

11.2.6.1. Market Revenue and Forecast, by Offering (2017-2030)

11.2.6.2. Market Revenue and Forecast, by Technology (2017-2030)

11.2.6.3. Market Revenue and Forecast, by Application (2017-2030)

11.2.7. Rest of Europe

11.2.7.1. Market Revenue and Forecast, by Offering (2017-2030)

11.2.7.2. Market Revenue and Forecast, by Technology (2017-2030)

11.2.7.3. Market Revenue and Forecast, by Application (2017-2030)

11.3. APAC

11.3.1. Market Revenue and Forecast, by Offering (2017-2030)

11.3.2. Market Revenue and Forecast, by Technology (2017-2030)

11.3.3. Market Revenue and Forecast, by Application (2017-2030)

11.3.4. India

11.3.4.1. Market Revenue and Forecast, by Offering (2017-2030)

11.3.4.2. Market Revenue and Forecast, by Technology (2017-2030)

11.3.4.3. Market Revenue and Forecast, by Application (2017-2030)

11.3.5. China

11.3.5.1. Market Revenue and Forecast, by Offering (2017-2030)

11.3.5.2. Market Revenue and Forecast, by Technology (2017-2030)

11.3.5.3. Market Revenue and Forecast, by Application (2017-2030)

11.3.6. Japan

11.3.6.1. Market Revenue and Forecast, by Offering (2017-2030)

11.3.6.2. Market Revenue and Forecast, by Technology (2017-2030)

11.3.6.3. Market Revenue and Forecast, by Application (2017-2030)

11.3.7. Rest of APAC

11.3.7.1. Market Revenue and Forecast, by Offering (2017-2030)

11.3.7.2. Market Revenue and Forecast, by Technology (2017-2030)

11.3.7.3. Market Revenue and Forecast, by Application (2017-2030)

11.4. MEA

11.4.1. Market Revenue and Forecast, by Offering (2017-2030)

11.4.2. Market Revenue and Forecast, by Technology (2017-2030)

11.4.3. Market Revenue and Forecast, by Application (2017-2030)

11.4.4. GCC

11.4.4.1. Market Revenue and Forecast, by Offering (2017-2030)

11.4.4.2. Market Revenue and Forecast, by Technology (2017-2030)

11.4.4.3. Market Revenue and Forecast, by Application (2017-2030)

11.4.5. North Africa

11.4.5.1. Market Revenue and Forecast, by Offering (2017-2030)

11.4.5.2. Market Revenue and Forecast, by Technology (2017-2030)

11.4.5.3. Market Revenue and Forecast, by Application (2017-2030)

11.4.6. South Africa

11.4.6.1. Market Revenue and Forecast, by Offering (2017-2030)

11.4.6.2. Market Revenue and Forecast, by Technology (2017-2030)

11.4.6.3. Market Revenue and Forecast, by Application (2017-2030)

11.4.7. Rest of MEA

11.4.7.1. Market Revenue and Forecast, by Offering (2017-2030)

11.4.7.2. Market Revenue and Forecast, by Technology (2017-2030)

11.4.7.3. Market Revenue and Forecast, by Application (2017-2030)

11.5. Latin America

11.5.1. Market Revenue and Forecast, by Offering (2017-2030)

11.5.2. Market Revenue and Forecast, by Technology (2017-2030)

11.5.3. Market Revenue and Forecast, by Application (2017-2030)

11.5.4. Brazil

11.5.4.1. Market Revenue and Forecast, by Offering (2017-2030)

11.5.4.2. Market Revenue and Forecast, by Technology (2017-2030)

11.5.4.3. Market Revenue and Forecast, by Application (2017-2030)

11.5.5. Rest of LATAM

11.5.5.1. Market Revenue and Forecast, by Offering (2017-2030)

11.5.5.2. Market Revenue and Forecast, by Technology (2017-2030)

11.5.5.3. Market Revenue and Forecast, by Application (2017-2030)

Chapter 12. Company Profiles

12.1. Alibaba Group Holdings Limited

12.1.1. Company Overview

12.1.2. Product Offerings

12.1.3. Financial Performance

12.1.4. Recent Initiatives

12.2. Google LLC

12.2.1. Company Overview

12.2.2. Product Offerings

12.2.3. Financial Performance

12.2.4. Recent Initiatives

12.3. Baidu Inc

12.3.1. Company Overview

12.3.2. Product Offerings

12.3.3. Financial Performance

12.3.4. Recent Initiatives

12.4. Amazon Web Services, Inc

12.4.1. Company Overview

12.4.2. Product Offerings

12.4.3. Financial Performance

12.4.4. Recent Initiatives

12.5. International Business Machines Corp

12.5.1. Company Overview

12.5.2. Product Offerings

12.5.3. Financial Performance

12.5.4. Recent Initiatives

12.6. Verizon Communications Inc

12.6.1. Company Overview

12.6.2. Product Offerings

12.6.3. Financial Performance

12.6.4. Recent Initiatives

12.7. Facebook Inc

12.7.1. Company Overview

12.7.2. Product Offerings

12.7.3. Financial Performance

12.7.4. Recent Initiatives

12.8. Twitter Inc

12.8.1. Company Overview

12.8.2. Product Offerings

12.8.3. Financial Performance

12.8.4. Recent Initiatives

12.9. Hulu LLC

12.9.1. Company Overview

12.9.2. Product Offerings

12.9.3. Financial Performance

12.9.4. Recent Initiatives

12.10. Microsoft corporation

12.10.1. Company Overview

12.10.2. Product Offerings

12.10.3. Financial Performance

12.10.4. Recent Initiatives

Chapter 13. Research Methodology

13.1. Primary Research

13.2. Secondary Research

13.3. Assumptions

Chapter 14. Appendix

14.1. About Us

14.2. Glossary of Terms

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