Global Artificial Intelligence in Aviation Market Insights, Forecast to 2029

Publication ID:

PB503234661

Publication Date:

March 30, 2023

Pages:

114

Publisher:

MRRPB5

Countries:

Global [1]

USD 4,900.00

IT Services [2]

Computing & Electronics [3]

Description:

Market Analysis and Insights: Global Artificial Intelligence in Aviation Market
The global Artificial Intelligence in Aviation market is projected to grow from US$ 223.1 million in 2023 to US$ 914.1 million by 2029, at a Compound Annual Growth Rate (CAGR) of 26.5% during the forecast period.
The US & Canada market for Artificial Intelligence in Aviation is estimated to increase from $ million in 2023 to reach $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
The China market for Artificial Intelligence in Aviation is estimated to increase from $ million in 2023 to reach $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
The Europe market for Artificial Intelligence in Aviation is estimated to increase from $ million in 2023 to reach $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
The global key companies of Artificial Intelligence in Aviation include Airbus, Amazon, Boeing, Garmin, GE, IBM, Intel, IRIS Automation and Kittyhawk, etc. in 2022, the global top five players had a share approximately % in terms of revenue.
Report Includes
This report presents an overview of global market for Artificial Intelligence in Aviation market size. Analyses of the global market trends, with historic market revenue data for 2018 - 2022, estimates for 2023, and projections of CAGR through 2029.
This report researches the key producers of Artificial Intelligence in Aviation, also provides the revenue of main regions and countries. Highlights of the upcoming market potential for Artificial Intelligence in Aviation, and key regions/countries of focus to forecast this market into various segments and sub-segments. Country specific data and market value analysis for the U.S., Canada, Mexico, Brazil, China, Japan, South Korea, Southeast Asia, India, Germany, the U.K., Italy, Middle East, Africa, and Other Countries.
This report focuses on the Artificial Intelligence in Aviation revenue, market share and industry ranking of main companies, data from 2018 to 2023. Identification of the major stakeholders in the global Artificial Intelligence in Aviation market, and analysis of their competitive landscape and market positioning based on recent developments and segmental revenues. This report will help stakeholders to understand the competitive landscape and gain more insights and position their businesses and market strategies in a better way.
This report analyzes the segments data by type and by application, revenue, and growth rate, from 2018 to 2029. Evaluation and forecast the market size for Artificial Intelligence in Aviation revenue, projected growth trends, production technology, application and end-user industry.
Descriptive company profiles of the major global players, including Airbus, Amazon, Boeing, Garmin, GE, IBM, Intel, IRIS Automation and Kittyhawk, etc.
By Company
Airbus
Amazon
Boeing
Garmin
GE
IBM
Intel
IRIS Automation
Kittyhawk
Lockheed Martin
Micron
Microsoft
Neurala
Northrop Grumman
Nvidia
Pilot AI Labs
Samsung Electronics
Thales
Xilinx
Segment by Type
Hardware
Software
Service
Segment by Application
Virtual Assistants
Smart Maintenance
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East, Africa, and Latin America
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (product type, application, etc.), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Revenue of Artificial Intelligence in Aviation in global and regional level. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world. This section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Artificial Intelligence in Aviation companies鈥� competitive landscape, revenue, market share and industry ranking, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by type, covering the revenue, and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by application, covering the revenue, and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6: North America by type, by application and by country, revenue for each segment.
Chapter 7: Europe by type, by application and by country, revenue for each segment.
Chapter 8: China by type and by application revenue for each segment.
Chapter 9: Asia (excluding China) by type, by application and by region, revenue for each segment.
Chapter 10: Middle East, Africa, and Latin America by type, by application and by country, revenue for each segment.
Chapter 11: Provides profiles of key companies, introducing the basic situation of the main companies in the market in detail, including product descriptions and specifications, Artificial Intelligence in Aviation revenue, gross margin, and recent development, etc.
Chapter 12: Analyst's Viewpoints/Conclusions

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

Table Of Contents:

1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Artificial Intelligence in Aviation Market Size Growth Rate by Type, 2018 VS 2022 VS 2029
1.2.2 Hardware
1.2.3 Software
1.2.4 Service
1.3 Market by Application
1.3.1 Global Artificial Intelligence in Aviation Market Size Growth Rate by Application, 2018 VS 2022 VS 2029
1.3.2 Virtual Assistants
1.3.3 Smart Maintenance
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global Artificial Intelligence in Aviation Market Perspective (2018-2029)
2.2 Global Artificial Intelligence in Aviation Growth Trends by Region
2.2.1 Artificial Intelligence in Aviation Market Size by Region: 2018 VS 2022 VS 2029
2.2.2 Artificial Intelligence in Aviation Historic Market Size by Region (2018-2023)
2.2.3 Artificial Intelligence in Aviation Forecasted Market Size by Region (2024-2029)
2.3 Artificial Intelligence in Aviation Market Dynamics
2.3.1 Artificial Intelligence in Aviation Industry Trends
2.3.2 Artificial Intelligence in Aviation Market Drivers
2.3.3 Artificial Intelligence in Aviation Market Challenges
2.3.4 Artificial Intelligence in Aviation Market Restraints
3 Competition Landscape by Key Players
3.1 Global Revenue Artificial Intelligence in Aviation by Players
3.1.1 Global Artificial Intelligence in Aviation Revenue by Players (2018-2023)
3.1.2 Global Artificial Intelligence in Aviation Revenue Market Share by Players (2018-2023)
3.2 Global Artificial Intelligence in Aviation Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players of Artificial Intelligence in Aviation, Ranking by Revenue, 2021 VS 2022 VS 2023
3.4 Global Artificial Intelligence in Aviation Market Concentration Ratio
3.4.1 Global Artificial Intelligence in Aviation Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Artificial Intelligence in Aviation Revenue in 2022
3.5 Global Key Players of Artificial Intelligence in Aviation Head office and Area Served
3.6 Global Key Players of Artificial Intelligence in Aviation, Product and Application
3.7 Global Key Players of Artificial Intelligence in Aviation, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 Artificial Intelligence in Aviation Breakdown Data by Type
4.1 Global Artificial Intelligence in Aviation Historic Market Size by Type (2018-2023)
4.2 Global Artificial Intelligence in Aviation Forecasted Market Size by Type (2024-2029)
5 Artificial Intelligence in Aviation Breakdown Data by Application
5.1 Global Artificial Intelligence in Aviation Historic Market Size by Application (2018-2023)
5.2 Global Artificial Intelligence in Aviation Forecasted Market Size by Application (2024-2029)
6 North America
6.1 North America Artificial Intelligence in Aviation Market Size (2018-2029)
6.2 North America Artificial Intelligence in Aviation Market Size by Type
6.2.1 North America Artificial Intelligence in Aviation Market Size by Type (2018-2023)
6.2.2 North America Artificial Intelligence in Aviation Market Size by Type (2024-2029)
6.2.3 North America Artificial Intelligence in Aviation Market Share by Type (2018-2029)
6.3 North America Artificial Intelligence in Aviation Market Size by Application
6.3.1 North America Artificial Intelligence in Aviation Market Size by Application (2018-2023)
6.3.2 North America Artificial Intelligence in Aviation Market Size by Application (2024-2029)
6.3.3 North America Artificial Intelligence in Aviation Market Share by Application (2018-2029)
6.4 North America Artificial Intelligence in Aviation Market Size by Country
6.4.1 North America Artificial Intelligence in Aviation Market Size by Country: 2018 VS 2022 VS 2029
6.4.2 North America Artificial Intelligence in Aviation Market Size by Country (2018-2023)
6.4.3 North America Artificial Intelligence in Aviation Market Size by Country (2024-2029)
6.4.4 U.S.
6.4.5 Canada
7 Europe
7.1 Europe Artificial Intelligence in Aviation Market Size (2018-2029)
7.2 Europe Artificial Intelligence in Aviation Market Size by Type
7.2.1 Europe Artificial Intelligence in Aviation Market Size by Type (2018-2023)
7.2.2 Europe Artificial Intelligence in Aviation Market Size by Type (2024-2029)
7.2.3 Europe Artificial Intelligence in Aviation Market Share by Type (2018-2029)
7.3 Europe Artificial Intelligence in Aviation Market Size by Application
7.3.1 Europe Artificial Intelligence in Aviation Market Size by Application (2018-2023)
7.3.2 Europe Artificial Intelligence in Aviation Market Size by Application (2024-2029)
7.3.3 Europe Artificial Intelligence in Aviation Market Share by Application (2018-2029)
7.4 Europe Artificial Intelligence in Aviation Market Size by Country
7.4.1 Europe Artificial Intelligence in Aviation Market Size by Country: 2018 VS 2022 VS 2029
7.4.2 Europe Artificial Intelligence in Aviation Market Size by Country (2018-2023)
7.4.3 Europe Artificial Intelligence in Aviation Market Size by Country (2024-2029)
7.4.3 Germany
7.4.4 France
7.4.5 U.K.
7.4.6 Italy
7.4.7 Russia
7.4.8 Nordic Countries
8 China
8.1 China Artificial Intelligence in Aviation Market Size (2018-2029)
8.2 China Artificial Intelligence in Aviation Market Size by Type
8.2.1 China Artificial Intelligence in Aviation Market Size by Type (2018-2023)
8.2.2 China Artificial Intelligence in Aviation Market Size by Type (2024-2029)
8.2.3 China Artificial Intelligence in Aviation Market Share by Type (2018-2029)
8.3 China Artificial Intelligence in Aviation Market Size by Application
8.3.1 China Artificial Intelligence in Aviation Market Size by Application (2018-2023)
8.3.2 China Artificial Intelligence in Aviation Market Size by Application (2024-2029)
8.3.3 China Artificial Intelligence in Aviation Market Share by Application (2018-2029)
9 Asia (excluding China)
9.1 Asia Artificial Intelligence in Aviation Market Size (2018-2029)
9.2 Asia Artificial Intelligence in Aviation Market Size by Type
9.2.1 Asia Artificial Intelligence in Aviation Market Size by Type (2018-2023)
9.2.2 Asia Artificial Intelligence in Aviation Market Size by Type (2024-2029)
9.2.3 Asia Artificial Intelligence in Aviation Market Share by Type (2018-2029)
9.3 Asia Artificial Intelligence in Aviation Market Size by Application
9.3.1 Asia Artificial Intelligence in Aviation Market Size by Application (2018-2023)
9.3.2 Asia Artificial Intelligence in Aviation Market Size by Application (2024-2029)
9.3.3 Asia Artificial Intelligence in Aviation Market Share by Application (2018-2029)
9.4 Asia Artificial Intelligence in Aviation Market Size by Region
9.4.1 Asia Artificial Intelligence in Aviation Market Size by Region: 2018 VS 2022 VS 2029
9.4.2 Asia Artificial Intelligence in Aviation Market Size by Region (2018-2023)
9.4.3 Asia Artificial Intelligence in Aviation Market Size by Region (2024-2029)
9.4.4 Japan
9.4.5 South Korea
9.4.6 China Taiwan
9.4.7 Southeast Asia
9.4.8 India
9.4.9 Australia
10 Middle East, Africa, and Latin America
10.1 Middle East, Africa, and Latin America Artificial Intelligence in Aviation Market Size (2018-2029)
10.2 Middle East, Africa, and Latin America Artificial Intelligence in Aviation Market Size by Type
10.2.1 Middle East, Africa, and Latin America Artificial Intelligence in Aviation Market Size by Type (2018-2023)
10.2.2 Middle East, Africa, and Latin America Artificial Intelligence in Aviation Market Size by Type (2024-2029)
10.2.3 Middle East, Africa, and Latin America Artificial Intelligence in Aviation Market Share by Type (2018-2029)
10.3 Middle East, Africa, and Latin America Artificial Intelligence in Aviation Market Size by Application
10.3.1 Middle East, Africa, and Latin America Artificial Intelligence in Aviation Market Size by Application (2018-2023)
10.3.2 Middle East, Africa, and Latin America Artificial Intelligence in Aviation Market Size by Application (2024-2029)
10.3.3 Middle East, Africa, and Latin America Artificial Intelligence in Aviation Market Share by Application (2018-2029)
10.4 Middle East, Africa, and Latin America Artificial Intelligence in Aviation Market Size by Country
10.4.1 Middle East, Africa, and Latin America Artificial Intelligence in Aviation Market Size by Country: 2018 VS 2022 VS 2029
10.4.2 Middle East, Africa, and Latin America Artificial Intelligence in Aviation Market Size by Country (2018-2023)
10.4.3 Middle East, Africa, and Latin America Artificial Intelligence in Aviation Market Size by Country (2024-2029)
10.4.4 Brazil
10.4.5 Mexico
10.4.6 Turkey
10.4.7 Saudi Arabia
10.4.8 Israel
10.4.9 GCC Countries
11 Key Players Profiles
11.1 Airbus
11.1.1 Airbus Company Details
11.1.2 Airbus Business Overview
11.1.3 Airbus Artificial Intelligence in Aviation Introduction
11.1.4 Airbus Revenue in Artificial Intelligence in Aviation Business (2018-2023)
11.1.5 Airbus Recent Developments
11.2 Amazon
11.2.1 Amazon Company Details
11.2.2 Amazon Business Overview
11.2.3 Amazon Artificial Intelligence in Aviation Introduction
11.2.4 Amazon Revenue in Artificial Intelligence in Aviation Business (2018-2023)
11.2.5 Amazon Recent Developments
11.3 Boeing
11.3.1 Boeing Company Details
11.3.2 Boeing Business Overview
11.3.3 Boeing Artificial Intelligence in Aviation Introduction
11.3.4 Boeing Revenue in Artificial Intelligence in Aviation Business (2018-2023)
11.3.5 Boeing Recent Developments
11.4 Garmin
11.4.1 Garmin Company Details
11.4.2 Garmin Business Overview
11.4.3 Garmin Artificial Intelligence in Aviation Introduction
11.4.4 Garmin Revenue in Artificial Intelligence in Aviation Business (2018-2023)
11.4.5 Garmin Recent Developments
11.5 GE
11.5.1 GE Company Details
11.5.2 GE Business Overview
11.5.3 GE Artificial Intelligence in Aviation Introduction
11.5.4 GE Revenue in Artificial Intelligence in Aviation Business (2018-2023)
11.5.5 GE Recent Developments
11.6 IBM
11.6.1 IBM Company Details
11.6.2 IBM Business Overview
11.6.3 IBM Artificial Intelligence in Aviation Introduction
11.6.4 IBM Revenue in Artificial Intelligence in Aviation Business (2018-2023)
11.6.5 IBM Recent Developments
11.7 Intel
11.7.1 Intel Company Details
11.7.2 Intel Business Overview
11.7.3 Intel Artificial Intelligence in Aviation Introduction
11.7.4 Intel Revenue in Artificial Intelligence in Aviation Business (2018-2023)
11.7.5 Intel Recent Developments
11.8 IRIS Automation
11.8.1 IRIS Automation Company Details
11.8.2 IRIS Automation Business Overview
11.8.3 IRIS Automation Artificial Intelligence in Aviation Introduction
11.8.4 IRIS Automation Revenue in Artificial Intelligence in Aviation Business (2018-2023)
11.8.5 IRIS Automation Recent Developments
11.9 Kittyhawk
11.9.1 Kittyhawk Company Details
11.9.2 Kittyhawk Business Overview
11.9.3 Kittyhawk Artificial Intelligence in Aviation Introduction
11.9.4 Kittyhawk Revenue in Artificial Intelligence in Aviation Business (2018-2023)
11.9.5 Kittyhawk Recent Developments
11.10 Lockheed Martin
11.10.1 Lockheed Martin Company Details
11.10.2 Lockheed Martin Business Overview
11.10.3 Lockheed Martin Artificial Intelligence in Aviation Introduction
11.10.4 Lockheed Martin Revenue in Artificial Intelligence in Aviation Business (2018-2023)
11.10.5 Lockheed Martin Recent Developments
11.11 Micron
11.11.1 Micron Company Details
11.11.2 Micron Business Overview
11.11.3 Micron Artificial Intelligence in Aviation Introduction
11.11.4 Micron Revenue in Artificial Intelligence in Aviation Business (2018-2023)
11.11.5 Micron Recent Developments
11.12 Microsoft
11.12.1 Microsoft Company Details
11.12.2 Microsoft Business Overview
11.12.3 Microsoft Artificial Intelligence in Aviation Introduction
11.12.4 Microsoft Revenue in Artificial Intelligence in Aviation Business (2018-2023)
11.12.5 Microsoft Recent Developments
11.13 Neurala
11.13.1 Neurala Company Details
11.13.2 Neurala Business Overview
11.13.3 Neurala Artificial Intelligence in Aviation Introduction
11.13.4 Neurala Revenue in Artificial Intelligence in Aviation Business (2018-2023)
11.13.5 Neurala Recent Developments
11.14 Northrop Grumman
11.14.1 Northrop Grumman Company Details
11.14.2 Northrop Grumman Business Overview
11.14.3 Northrop Grumman Artificial Intelligence in Aviation Introduction
11.14.4 Northrop Grumman Revenue in Artificial Intelligence in Aviation Business (2018-2023)
11.14.5 Northrop Grumman Recent Developments
11.15 Nvidia
11.15.1 Nvidia Company Details
11.15.2 Nvidia Business Overview
11.15.3 Nvidia Artificial Intelligence in Aviation Introduction
11.15.4 Nvidia Revenue in Artificial Intelligence in Aviation Business (2018-2023)
11.15.5 Nvidia Recent Developments
11.16 Pilot AI Labs
11.16.1 Pilot AI Labs Company Details
11.16.2 Pilot AI Labs Business Overview
11.16.3 Pilot AI Labs Artificial Intelligence in Aviation Introduction
11.16.4 Pilot AI Labs Revenue in Artificial Intelligence in Aviation Business (2018-2023)
11.16.5 Pilot AI Labs Recent Developments
11.17 Samsung Electronics
11.17.1 Samsung Electronics Company Details
11.17.2 Samsung Electronics Business Overview
11.17.3 Samsung Electronics Artificial Intelligence in Aviation Introduction
11.17.4 Samsung Electronics Revenue in Artificial Intelligence in Aviation Business (2018-2023)
11.17.5 Samsung Electronics Recent Developments
11.18 Thales
11.18.1 Thales Company Details
11.18.2 Thales Business Overview
11.18.3 Thales Artificial Intelligence in Aviation Introduction
11.18.4 Thales Revenue in Artificial Intelligence in Aviation Business (2018-2023)
11.18.5 Thales Recent Developments
11.19 Xilinx
11.19.1 Xilinx Company Details
11.19.2 Xilinx Business Overview
11.19.3 Xilinx Artificial Intelligence in Aviation Introduction
11.19.4 Xilinx Revenue in Artificial Intelligence in Aviation Business (2018-2023)
11.19.5 Xilinx Recent Developments
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details

Companies Mentioned:

Airbus
Amazon
Boeing
Garmin
GE
IBM
Intel
IRIS Automation
Kittyhawk
Lockheed Martin
Micron
Microsoft
Neurala
Northrop Grumman
Nvidia
Pilot AI Labs
Samsung Electronics
Thales
Xilinx

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