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Artificial Intelligence in Aviation-Global Market Insights and Sales Trends 2025
Synopsis
The global Artificial Intelligence in Aviation market size is expected to reach US$ 914.1 million by 2029, growing at a CAGR of 26.5% from 2023 to 2029. The market is mainly driven by the significant applications of Artificial Intelligence in Aviation in various end use industries. The expanding demands from the Virtual Assistants and Smart Maintenance, are propelling Artificial Intelligence in Aviation market. Hardware, one of the segments analysed in this report, is projected to record % CAGR and reach US$ million by the end of the analysis period. Growth in the Software segment is estimated at % CAGR for the next seven-year period.
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$432.8 billion in 2022, a year-on-year increase of 19.52%, including software, hardware and services.
Report Objectives
This report provides market insight on the different segments, by players, by Type, by Application. Market size and forecast (2018-2029) has been provided in the report. The primary objectives of this report are to provide 1) global market size and forecasts, growth rates, market dynamics, industry structure and developments, market situation, trends; 2) global market share and ranking by company; 3) comprehensive presentation of the global market for Artificial Intelligence in Aviation, with both quantitative and qualitative analysis through detailed segmentation; 4) detailed value chain analysis and review of growth factors essential for the existing market players and new entrants; 5) emerging opportunities in the market and the future impact of major drivers and restraints of the market.
Key Features of The Study:
This report provides in-depth analysis of the global Artificial Intelligence in Aviation market, and provides market size (US$ million) and CAGR for the forecast period (2023-2029), considering 2022 as the base year.
This report profiles key players in the global Artificial Intelligence in Aviation market based on the following parameters - company details (found date, headquarters, manufacturing bases), products portfolio, Artificial Intelligence in Aviation sales data, market share and ranking.
This report elucidates potential market opportunities across different segments and explains attractive investment proposition matrices for this market.
This report illustrates key insights about market drivers, restraints, opportunities, market trends, regional outlook.
Key companies of Artificial Intelligence in Aviation covered in this report include Airbus, Amazon, Boeing, Garmin, GE, IBM, Intel, IRIS Automation and Kittyhawk, etc.
The global Artificial Intelligence in Aviation market report caters to various stakeholders in this industry including investors, suppliers, product players, distributors, new entrants, and financial analysts.
Market Segmentation
Company Profiles:
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
Global Artificial Intelligence in Aviation market, by region:
North America (U.S., Canada, Mexico)
Europe (Germany, France, UK, Italy, etc.)
Asia Pacific (China, Japan, South Korea, Southeast Asia, India, etc.)
South America (Brazil, etc.)
Middle East and Africa (Turkey, GCC Countries, Africa, etc.)
Global Artificial Intelligence in Aviation market, Segment by Type:
Hardware
Software
Service
Global Artificial Intelligence in Aviation market, by Application
Virtual Assistants
Smart Maintenance
Core Chapters
Chapter One: Introduces the report scope of the report, executive summary of global and regional market size and CAGR for the history and forecast period (2018-2023, 2024-2029). 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 Two: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter Three: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter Four: Detailed analysis of Artificial Intelligence in Aviation companies’ competitive landscape, revenue, market share and ranking, latest development plan, merger, and acquisition information, etc.
Chapter Five: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product introduction, revenue, recent development, etc.
Chapter Six, Seven, Eight, Nine and Ten: North America, Europe, Asia Pacific, Latin America, Middle East & Africa, revenue by country.
Chapter Eleven: 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 Twelve: Research Finding/Conclusion
The global Artificial Intelligence in Aviation market size is expected to reach US$ 914.1 million by 2029, growing at a CAGR of 26.5% from 2023 to 2029. The market is mainly driven by the significant applications of Artificial Intelligence in Aviation in various end use industries. The expanding demands from the Virtual Assistants and Smart Maintenance, are propelling Artificial Intelligence in Aviation market. Hardware, one of the segments analysed in this report, is projected to record % CAGR and reach US$ million by the end of the analysis period. Growth in the Software segment is estimated at % CAGR for the next seven-year period.
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$432.8 billion in 2022, a year-on-year increase of 19.52%, including software, hardware and services.
Report Objectives
This report provides market insight on the different segments, by players, by Type, by Application. Market size and forecast (2018-2029) has been provided in the report. The primary objectives of this report are to provide 1) global market size and forecasts, growth rates, market dynamics, industry structure and developments, market situation, trends; 2) global market share and ranking by company; 3) comprehensive presentation of the global market for Artificial Intelligence in Aviation, with both quantitative and qualitative analysis through detailed segmentation; 4) detailed value chain analysis and review of growth factors essential for the existing market players and new entrants; 5) emerging opportunities in the market and the future impact of major drivers and restraints of the market.
Key Features of The Study:
This report provides in-depth analysis of the global Artificial Intelligence in Aviation market, and provides market size (US$ million) and CAGR for the forecast period (2023-2029), considering 2022 as the base year.
This report profiles key players in the global Artificial Intelligence in Aviation market based on the following parameters - company details (found date, headquarters, manufacturing bases), products portfolio, Artificial Intelligence in Aviation sales data, market share and ranking.
This report elucidates potential market opportunities across different segments and explains attractive investment proposition matrices for this market.
This report illustrates key insights about market drivers, restraints, opportunities, market trends, regional outlook.
Key companies of Artificial Intelligence in Aviation covered in this report include Airbus, Amazon, Boeing, Garmin, GE, IBM, Intel, IRIS Automation and Kittyhawk, etc.
The global Artificial Intelligence in Aviation market report caters to various stakeholders in this industry including investors, suppliers, product players, distributors, new entrants, and financial analysts.
Market Segmentation
Company Profiles:
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
Global Artificial Intelligence in Aviation market, by region:
North America (U.S., Canada, Mexico)
Europe (Germany, France, UK, Italy, etc.)
Asia Pacific (China, Japan, South Korea, Southeast Asia, India, etc.)
South America (Brazil, etc.)
Middle East and Africa (Turkey, GCC Countries, Africa, etc.)
Global Artificial Intelligence in Aviation market, Segment by Type:
Hardware
Software
Service
Global Artificial Intelligence in Aviation market, by Application
Virtual Assistants
Smart Maintenance
Core Chapters
Chapter One: Introduces the report scope of the report, executive summary of global and regional market size and CAGR for the history and forecast period (2018-2023, 2024-2029). 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 Two: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter Three: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter Four: Detailed analysis of Artificial Intelligence in Aviation companies’ competitive landscape, revenue, market share and ranking, latest development plan, merger, and acquisition information, etc.
Chapter Five: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product introduction, revenue, recent development, etc.
Chapter Six, Seven, Eight, Nine and Ten: North America, Europe, Asia Pacific, Latin America, Middle East & Africa, revenue by country.
Chapter Eleven: 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 Twelve: Research Finding/Conclusion
Index1 Market Overview of Artificial Intelligence in Aviation
1.1 Artificial Intelligence in Aviation Market Overview
1.1.1 Artificial Intelligence in Aviation Product Scope
1.1.2 Artificial Intelligence in Aviation Market Status and Outlook
1.2 Global Artificial Intelligence in Aviation Market Size Overview by Region 2018 VS 2022 VS 2029
1.3 Global Artificial Intelligence in Aviation Market Size by Region (2018-2029)
1.4 Global Artificial Intelligence in Aviation Historic Market Size by Region (2018-2023)
1.5 Global Artificial Intelligence in Aviation Market Size Forecast by Region (2024-2029)
1.6 Key Regions, Artificial Intelligence in Aviation Market Size (2018-2029)
1.6.1 North America Artificial Intelligence in Aviation Market Size (2018-2029)
1.6.2 Europe Artificial Intelligence in Aviation Market Size (2018-2029)
1.6.3 Asia-Pacific Artificial Intelligence in Aviation Market Size (2018-2029)
1.6.4 Latin America Artificial Intelligence in Aviation Market Size (2018-2029)
1.6.5 Middle East & Africa Artificial Intelligence in Aviation Market Size (2018-2029)
2 Artificial Intelligence in Aviation Market by Type
2.1 Introduction
2.1.1 Hardware
2.1.2 Software
2.1.3 Service
2.2 Global Artificial Intelligence in Aviation Market Size by Type: 2018 VS 2022 VS 2029
2.2.1 Global Artificial Intelligence in Aviation Historic Market Size by Type (2018-2023)
2.2.2 Global Artificial Intelligence in Aviation Forecasted Market Size by Type (2024-2029)
2.3 Key Regions Market Size by Type
2.3.1 North America Artificial Intelligence in Aviation Revenue Breakdown by Type (2018-2029)
2.3.2 Europe Artificial Intelligence in Aviation Revenue Breakdown by Type (2018-2029)
2.3.3 Asia-Pacific Artificial Intelligence in Aviation Revenue Breakdown by Type (2018-2029)
2.3.4 Latin America Artificial Intelligence in Aviation Revenue Breakdown by Type (2018-2029)
2.3.5 Middle East and Africa Artificial Intelligence in Aviation Revenue Breakdown by Type (2018-2029)
3 Artificial Intelligence in Aviation Market Overview by Application
3.1 Introduction
3.1.1 Virtual Assistants
3.1.2 Smart Maintenance
3.2 Global Artificial Intelligence in Aviation Market Size by Application: 2018 VS 2022 VS 2029
3.2.1 Global Artificial Intelligence in Aviation Historic Market Size by Application (2018-2023)
3.2.2 Global Artificial Intelligence in Aviation Forecasted Market Size by Application (2024-2029)
3.3 Key Regions Market Size by Application
3.3.1 North America Artificial Intelligence in Aviation Revenue Breakdown by Application (2018-2029)
3.3.2 Europe Artificial Intelligence in Aviation Revenue Breakdown by Application (2018-2029)
3.3.3 Asia-Pacific Artificial Intelligence in Aviation Revenue Breakdown by Application (2018-2029)
3.3.4 Latin America Artificial Intelligence in Aviation Revenue Breakdown by Application (2018-2029)
3.3.5 Middle East and Africa Artificial Intelligence in Aviation Revenue Breakdown by Application (2018-2029)
4 Artificial Intelligence in Aviation Competition Analysis by Players
4.1 Global Artificial Intelligence in Aviation Market Size by Players (2018-2023)
4.2 Global Top Players by Company Type (Tier 1, Tier 2 and Tier 3) & (based on the Revenue in Artificial Intelligence in Aviation as of 2022)
4.3 Date of Key Players Enter into Artificial Intelligence in Aviation Market
4.4 Global Top Players Artificial Intelligence in Aviation Headquarters and Area Served
4.5 Key Players Artificial Intelligence in Aviation Product Solution and Service
4.6 Competitive Status
4.6.1 Artificial Intelligence in Aviation Market Concentration Rate
4.6.2 Mergers & Acquisitions, Expansion Plans
5 Company (Top Players) Profiles
5.1 Airbus
5.1.1 Airbus Profile
5.1.2 Airbus Main Business
5.1.3 Airbus Artificial Intelligence in Aviation Products, Services and Solutions
5.1.4 Airbus Artificial Intelligence in Aviation Revenue (US$ Million) & (2018-2023)
5.1.5 Airbus Recent Developments
5.2 Amazon
5.2.1 Amazon Profile
5.2.2 Amazon Main Business
5.2.3 Amazon Artificial Intelligence in Aviation Products, Services and Solutions
5.2.4 Amazon Artificial Intelligence in Aviation Revenue (US$ Million) & (2018-2023)
5.2.5 Amazon Recent Developments
5.3 Boeing
5.3.1 Boeing Profile
5.3.2 Boeing Main Business
5.3.3 Boeing Artificial Intelligence in Aviation Products, Services and Solutions
5.3.4 Boeing Artificial Intelligence in Aviation Revenue (US$ Million) & (2018-2023)
5.3.5 Garmin Recent Developments
5.4 Garmin
5.4.1 Garmin Profile
5.4.2 Garmin Main Business
5.4.3 Garmin Artificial Intelligence in Aviation Products, Services and Solutions
5.4.4 Garmin Artificial Intelligence in Aviation Revenue (US$ Million) & (2018-2023)
5.4.5 Garmin Recent Developments
5.5 GE
5.5.1 GE Profile
5.5.2 GE Main Business
5.5.3 GE Artificial Intelligence in Aviation Products, Services and Solutions
5.5.4 GE Artificial Intelligence in Aviation Revenue (US$ Million) & (2018-2023)
5.5.5 GE Recent Developments
5.6 IBM
5.6.1 IBM Profile
5.6.2 IBM Main Business
5.6.3 IBM Artificial Intelligence in Aviation Products, Services and Solutions
5.6.4 IBM Artificial Intelligence in Aviation Revenue (US$ Million) & (2018-2023)
5.6.5 IBM Recent Developments
5.7 Intel
5.7.1 Intel Profile
5.7.2 Intel Main Business
5.7.3 Intel Artificial Intelligence in Aviation Products, Services and Solutions
5.7.4 Intel Artificial Intelligence in Aviation Revenue (US$ Million) & (2018-2023)
5.7.5 Intel Recent Developments
5.8 IRIS Automation
5.8.1 IRIS Automation Profile
5.8.2 IRIS Automation Main Business
5.8.3 IRIS Automation Artificial Intelligence in Aviation Products, Services and Solutions
5.8.4 IRIS Automation Artificial Intelligence in Aviation Revenue (US$ Million) & (2018-2023)
5.8.5 IRIS Automation Recent Developments
5.9 Kittyhawk
5.9.1 Kittyhawk Profile
5.9.2 Kittyhawk Main Business
5.9.3 Kittyhawk Artificial Intelligence in Aviation Products, Services and Solutions
5.9.4 Kittyhawk Artificial Intelligence in Aviation Revenue (US$ Million) & (2018-2023)
5.9.5 Kittyhawk Recent Developments
5.10 Lockheed Martin
5.10.1 Lockheed Martin Profile
5.10.2 Lockheed Martin Main Business
5.10.3 Lockheed Martin Artificial Intelligence in Aviation Products, Services and Solutions
5.10.4 Lockheed Martin Artificial Intelligence in Aviation Revenue (US$ Million) & (2018-2023)
5.10.5 Lockheed Martin Recent Developments
5.11 Micron
5.11.1 Micron Profile
5.11.2 Micron Main Business
5.11.3 Micron Artificial Intelligence in Aviation Products, Services and Solutions
5.11.4 Micron Artificial Intelligence in Aviation Revenue (US$ Million) & (2018-2023)
5.11.5 Micron Recent Developments
5.12 Microsoft
5.12.1 Microsoft Profile
5.12.2 Microsoft Main Business
5.12.3 Microsoft Artificial Intelligence in Aviation Products, Services and Solutions
5.12.4 Microsoft Artificial Intelligence in Aviation Revenue (US$ Million) & (2018-2023)
5.12.5 Microsoft Recent Developments
5.13 Neurala
5.13.1 Neurala Profile
5.13.2 Neurala Main Business
5.13.3 Neurala Artificial Intelligence in Aviation Products, Services and Solutions
5.13.4 Neurala Artificial Intelligence in Aviation Revenue (US$ Million) & (2018-2023)
5.13.5 Neurala Recent Developments
5.14 Northrop Grumman
5.14.1 Northrop Grumman Profile
5.14.2 Northrop Grumman Main Business
5.14.3 Northrop Grumman Artificial Intelligence in Aviation Products, Services and Solutions
5.14.4 Northrop Grumman Artificial Intelligence in Aviation Revenue (US$ Million) & (2018-2023)
5.14.5 Northrop Grumman Recent Developments
5.15 Nvidia
5.15.1 Nvidia Profile
5.15.2 Nvidia Main Business
5.15.3 Nvidia Artificial Intelligence in Aviation Products, Services and Solutions
5.15.4 Nvidia Artificial Intelligence in Aviation Revenue (US$ Million) & (2018-2023)
5.15.5 Nvidia Recent Developments
5.16 Pilot AI Labs
5.16.1 Pilot AI Labs Profile
5.16.2 Pilot AI Labs Main Business
5.16.3 Pilot AI Labs Artificial Intelligence in Aviation Products, Services and Solutions
5.16.4 Pilot AI Labs Artificial Intelligence in Aviation Revenue (US$ Million) & (2018-2023)
5.16.5 Pilot AI Labs Recent Developments
5.17 Samsung Electronics
5.17.1 Samsung Electronics Profile
5.17.2 Samsung Electronics Main Business
5.17.3 Samsung Electronics Artificial Intelligence in Aviation Products, Services and Solutions
5.17.4 Samsung Electronics Artificial Intelligence in Aviation Revenue (US$ Million) & (2018-2023)
5.17.5 Samsung Electronics Recent Developments
5.18 Thales
5.18.1 Thales Profile
5.18.2 Thales Main Business
5.18.3 Thales Artificial Intelligence in Aviation Products, Services and Solutions
5.18.4 Thales Artificial Intelligence in Aviation Revenue (US$ Million) & (2018-2023)
5.18.5 Thales Recent Developments
5.19 Xilinx
5.19.1 Xilinx Profile
5.19.2 Xilinx Main Business
5.19.3 Xilinx Artificial Intelligence in Aviation Products, Services and Solutions
5.19.4 Xilinx Artificial Intelligence in Aviation Revenue (US$ Million) & (2018-2023)
5.19.5 Xilinx Recent Developments
6 North America
6.1 North America Artificial Intelligence in Aviation Market Size by Country (2018-2029)
6.2 U.S.
6.3 Canada
7 Europe
7.1 Europe Artificial Intelligence in Aviation Market Size by Country (2018-2029)
7.2 Germany
7.3 France
7.4 U.K.
7.5 Italy
7.6 Russia
7.7 Nordic Countries
7.8 Rest of Europe
8 Asia-Pacific
8.1 Asia-Pacific Artificial Intelligence in Aviation Market Size by Region (2018-2029)
8.2 China
8.3 Japan
8.4 South Korea
8.5 Southeast Asia
8.6 India
8.7 Australia
8.8 Rest of Asia-Pacific
9 Latin America
9.1 Latin America Artificial Intelligence in Aviation Market Size by Country (2018-2029)
9.2 Mexico
9.3 Brazil
9.4 Rest of Latin America
10 Middle East & Africa
10.1 Middle East & Africa Artificial Intelligence in Aviation Market Size by Country (2018-2029)
10.2 Turkey
10.3 Saudi Arabia
10.4 UAE
10.5 Rest of Middle East & Africa
11 Artificial Intelligence in Aviation Market Dynamics
11.1 Artificial Intelligence in Aviation Industry Trends
11.2 Artificial Intelligence in Aviation Market Drivers
11.3 Artificial Intelligence in Aviation Market Challenges
11.4 Artificial Intelligence in Aviation Market Restraints
12 Research Finding /Conclusion
13 Methodology and Data Source
13.1 Methodology/Research Approach
13.1.1 Research Programs/Design
13.1.2 Market Size Estimation
13.1.3 Market Breakdown and Data Triangulation
13.2 Data Source
13.2.1 Secondary Sources
13.2.2 Primary Sources
13.3 Disclaimer
13.4 Author List
Published By : QY Research
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