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Global Artificial Intelligence in Aviation Market Research Report 2025

Global Artificial Intelligence in Aviation Market Research Report 2025

Publishing Date : Mar, 2025

License Type :

Report Code : 1907823

No of Pages : 97

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Report Description
Table of Content

Synopsis

The global Artificial Intelligence in Aviation market was valued at US$ 171.5 million in 2023 and is anticipated to reach US$ 914.1 million by 2030, witnessing a CAGR of 26.5% during the forecast period 2024-2030.

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.

This report aims to provide a comprehensive presentation of the global market for Artificial Intelligence in Aviation, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Artificial Intelligence in Aviation.

Report Scope

The Artificial Intelligence in Aviation market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Artificial Intelligence in Aviation market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.

For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.

The report will help the Artificial Intelligence in Aviation companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.

Market Segmentation
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

Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by 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: Introduces executive summary of global market size, regional market size, 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’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: 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 5: 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 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. 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.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.

Index

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: 2019 VS 2023 VS 2030
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: 2019 VS 2023 VS 2030
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 (2019-2030)
2.2 Artificial Intelligence in Aviation Growth Trends by Region
2.2.1 Global Artificial Intelligence in Aviation Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Artificial Intelligence in Aviation Historic Market Size by Region (2019-2024)
2.2.3 Artificial Intelligence in Aviation Forecasted Market Size by Region (2025-2030)
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 (2019-2024)
3.1.2 Global Artificial Intelligence in Aviation Revenue Market Share by Players (2019-2024)
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 2023
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 (2019-2024)
4.2 Global Artificial Intelligence in Aviation Forecasted Market Size by Type (2025-2030)
5 Artificial Intelligence in Aviation Breakdown Data by Application
5.1 Global Artificial Intelligence in Aviation Historic Market Size by Application (2019-2024)
5.2 Global Artificial Intelligence in Aviation Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Artificial Intelligence in Aviation Market Size (2019-2030)
6.2 North America Artificial Intelligence in Aviation Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Artificial Intelligence in Aviation Market Size by Country (2019-2024)
6.4 North America Artificial Intelligence in Aviation Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Artificial Intelligence in Aviation Market Size (2019-2030)
7.2 Europe Artificial Intelligence in Aviation Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Artificial Intelligence in Aviation Market Size by Country (2019-2024)
7.4 Europe Artificial Intelligence in Aviation Market Size by Country (2025-2030)
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 (2019-2030)
8.2 Asia-Pacific Artificial Intelligence in Aviation Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Artificial Intelligence in Aviation Market Size by Region (2019-2024)
8.4 Asia-Pacific Artificial Intelligence in Aviation Market Size by Region (2025-2030)
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 (2019-2030)
9.2 Latin America Artificial Intelligence in Aviation Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Artificial Intelligence in Aviation Market Size by Country (2019-2024)
9.4 Latin America Artificial Intelligence in Aviation Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Artificial Intelligence in Aviation Market Size (2019-2030)
10.2 Middle East & Africa Artificial Intelligence in Aviation Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Artificial Intelligence in Aviation Market Size by Country (2019-2024)
10.4 Middle East & Africa Artificial Intelligence in Aviation Market Size by Country (2025-2030)
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 (2019-2024)
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 (2019-2024)
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 (2019-2024)
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 (2019-2024)
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 (2019-2024)
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 (2019-2024)
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 (2019-2024)
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 (2019-2024)
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 (2019-2024)
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 (2019-2024)
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 (2019-2024)
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 (2019-2024)
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 (2019-2024)
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 (2019-2024)
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 (2019-2024)
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 (2019-2024)
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 (2019-2024)
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 (2019-2024)
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 (2019-2024)
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

Published By : QY Research

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