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Home > Global Artificial Intelligence in Aviation Market Research Report 2023

Global Artificial Intelligence in Aviation Market Research Report 2023

Publication ID: 
PB510234781
Publication Date: 
October 31, 2023
Pages: 
97
Publisher: 
MRRPB5
Countries: 
Global [1]
USD 2,900.00

Please choose the suitable license type from above. More details are given under tab "Report License Types" below.

IT Services [2]
Computing & Electronics [3]
Description: 

The global Artificial Intelligence in Aviation market is projected to reach US$ 914.1 million in 2029, increasing from US$ 171.5 million in 2022, with the CAGR of 26.5% during the period of 2023 to 2029.
As an important force driving a new round of scientific and technological revolution, artificial intelligence has been of national strategic importance. Many governments introduces polices and increase capital investment to support AI companies. The Digital Europe plan adopted by the European Union will allocate €9.2 billion on high-tech investments, such as supercomputing, artificial intelligence, and network security. In order to maintain its leading position, the United States will increase its investment in artificial intelligence research and development in non-defense fields, from US$1.6 billion to US$1.7 billion in 2022. According to the latest data released by IDC, global artificial intelligence revenue was US$432.8 billion in 2022, a year-on-year increase of 19.52%, including software, hardware and services.
Report Scope
This report, based on historical analysis (2018-2022) and forecast calculation (2023-2029), aims to help readers to get a comprehensive understanding of global Artificial Intelligence in Aviation market with multiple angles, which provides sufficient supports to readers’ strategy and decision making.
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
Turkey
Saudi Arabia
UAE
Rest of MEA
The Artificial Intelligence in Aviation report covers below items:
Chapter 1: Product Basic Information (Definition, Type and Application)
Chapter 2: Global market size, regional market size. Market Opportunities and Challenges
Chapter 3: Companies’ Competition Patterns
Chapter 4: Product Type Analysis
Chapter 5: Product Application Analysis
Chapter 6 to 10: Country Level Value Analysis
Chapter 11: Companies’ Outline
Chapter 12: Market Conclusions
Chapter 13: Research Methodology and Data Source

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 Growth by Application: 2018 VS 2022 VS 2029
1.3.2 Virtual Assistants
1.3.3 Smart Maintenance
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Artificial Intelligence in Aviation Market Perspective (2018-2029)
2.2 Artificial Intelligence in Aviation Growth Trends by Region
2.2.1 Global 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 Top Artificial Intelligence in Aviation Players by Revenue
3.1.1 Global Top Artificial Intelligence in Aviation Players by Revenue (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 Players Covered: Ranking by Artificial Intelligence in Aviation Revenue
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 Artificial Intelligence in Aviation Key Players Head office and Area Served
3.6 Key Players Artificial Intelligence in Aviation Product Solution and Service
3.7 Date of Enter into Artificial Intelligence in Aviation Market
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 Growth Rate by Country: 2018 VS 2022 VS 2029
6.3 North America Artificial Intelligence in Aviation Market Size by Country (2018-2023)
6.4 North America Artificial Intelligence in Aviation Market Size by Country (2024-2029)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Artificial Intelligence in Aviation Market Size (2018-2029)
7.2 Europe Artificial Intelligence in Aviation Market Growth Rate by Country: 2018 VS 2022 VS 2029
7.3 Europe Artificial Intelligence in Aviation Market Size by Country (2018-2023)
7.4 Europe Artificial Intelligence in Aviation Market Size by Country (2024-2029)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Artificial Intelligence in Aviation Market Size (2018-2029)
8.2 Asia-Pacific Artificial Intelligence in Aviation Market Growth Rate by Region: 2018 VS 2022 VS 2029
8.3 Asia-Pacific Artificial Intelligence in Aviation Market Size by Region (2018-2023)
8.4 Asia-Pacific Artificial Intelligence in Aviation Market Size by Region (2024-2029)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Artificial Intelligence in Aviation Market Size (2018-2029)
9.2 Latin America Artificial Intelligence in Aviation Market Growth Rate by Country: 2018 VS 2022 VS 2029
9.3 Latin America Artificial Intelligence in Aviation Market Size by Country (2018-2023)
9.4 Latin America Artificial Intelligence in Aviation Market Size by Country (2024-2029)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Artificial Intelligence in Aviation Market Size (2018-2029)
10.2 Middle East & Africa Artificial Intelligence in Aviation Market Growth Rate by Country: 2018 VS 2022 VS 2029
10.3 Middle East & Africa Artificial Intelligence in Aviation Market Size by Country (2018-2023)
10.4 Middle East & Africa Artificial Intelligence in Aviation Market Size by Country (2024-2029)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Airbus
11.1.1 Airbus Company Detail
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 Development
11.2 Amazon
11.2.1 Amazon Company Detail
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 Development
11.3 Boeing
11.3.1 Boeing Company Detail
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 Development
11.4 Garmin
11.4.1 Garmin Company Detail
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 Development
11.5 GE
11.5.1 GE Company Detail
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 Development
11.6 IBM
11.6.1 IBM Company Detail
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 Development
11.7 Intel
11.7.1 Intel Company Detail
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 Development
11.8 IRIS Automation
11.8.1 IRIS Automation Company Detail
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 Development
11.9 Kittyhawk
11.9.1 Kittyhawk Company Detail
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 Development
11.10 Lockheed Martin
11.10.1 Lockheed Martin Company Detail
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 Development
11.11 Micron
11.11.1 Micron Company Detail
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 Development
11.12 Microsoft
11.12.1 Microsoft Company Detail
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 Development
11.13 Neurala
11.13.1 Neurala Company Detail
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 Development
11.14 Northrop Grumman
11.14.1 Northrop Grumman Company Detail
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 Development
11.15 Nvidia
11.15.1 Nvidia Company Detail
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 Development
11.16 Pilot AI Labs
11.16.1 Pilot AI Labs Company Detail
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 Development
11.17 Samsung Electronics
11.17.1 Samsung Electronics Company Detail
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 Development
11.18 Thales
11.18.1 Thales Company Detail
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 Development
11.19 Xilinx
11.19.1 Xilinx Company Detail
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 Development
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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