The Market Reports
Call: +1-631-407-1315 / +91-750-729-1479
Email: sales@themarketreports.com
Global AI In Aviation Market Research Report 2024
Synopsis
The global AI In Aviation market was valued at US$ 156.8 million in 2023 and is anticipated to reach US$ 840.4 million by 2030, witnessing a CAGR of 26.6% during the forecast period 2024-2030.
China and the United States are two leaders in AI industry. On the AI 100 list (2022) released by CB Insights, the number of companies in the United States ranks first, with more than 70 companies, followed by the United Kingdom, with 8 companies on the list. China and Canada both holds 5 companies on the list. According to data from the China Academy of Information and Communications Technology, the scale of China's core artificial intelligence industry reached ¥508 billion in 2022, a year-on-year increase of 18%. From 2013 to November 2022, the cumulative number of patent applications for artificial intelligence inventions in the world reached 729,000, and the cumulative number of applications in China reached 389,000, accounting for 53.4%. However, the Global Artificial Intelligence Innovation Index Report 2021 released by the China Institute of Scientific and Technological Information shows that the overall strength of the United States is still far ahead. The number of artificial intelligence companies in the United States is about 4,670, while China has only 880. China's data center is less than 1/72 of that of the United States.
This report aims to provide a comprehensive presentation of the global market for AI 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 AI In Aviation.
Report Scope
The AI 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 AI 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 AI 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
Intel Corporation
Garmin Ltd.
IBM Corporation
Airbus SE
Boeing
General Electric
Amazon
Microsoft Corporation
NVIDIA Corporation
Neurala Inc.
Samsung Electronics
Micron Technology
Xilinx
Thales S.A.
Lockheed Martin Corporation
Northrop Grumman Corporation
Pilot AI Labs
IRIS Automation
Innovative Binaries
Cognitive Code
Searidge Technologies
Segment by Type
Hardware
Software
Services
Segment by Application
Surveillance
Virtual Assistance
Flight Operations
Smart Logistics
Others
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 AI 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.
The global AI In Aviation market was valued at US$ 156.8 million in 2023 and is anticipated to reach US$ 840.4 million by 2030, witnessing a CAGR of 26.6% during the forecast period 2024-2030.
China and the United States are two leaders in AI industry. On the AI 100 list (2022) released by CB Insights, the number of companies in the United States ranks first, with more than 70 companies, followed by the United Kingdom, with 8 companies on the list. China and Canada both holds 5 companies on the list. According to data from the China Academy of Information and Communications Technology, the scale of China's core artificial intelligence industry reached ¥508 billion in 2022, a year-on-year increase of 18%. From 2013 to November 2022, the cumulative number of patent applications for artificial intelligence inventions in the world reached 729,000, and the cumulative number of applications in China reached 389,000, accounting for 53.4%. However, the Global Artificial Intelligence Innovation Index Report 2021 released by the China Institute of Scientific and Technological Information shows that the overall strength of the United States is still far ahead. The number of artificial intelligence companies in the United States is about 4,670, while China has only 880. China's data center is less than 1/72 of that of the United States.
This report aims to provide a comprehensive presentation of the global market for AI 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 AI In Aviation.
Report Scope
The AI 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 AI 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 AI 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
Intel Corporation
Garmin Ltd.
IBM Corporation
Airbus SE
Boeing
General Electric
Amazon
Microsoft Corporation
NVIDIA Corporation
Neurala Inc.
Samsung Electronics
Micron Technology
Xilinx
Thales S.A.
Lockheed Martin Corporation
Northrop Grumman Corporation
Pilot AI Labs
IRIS Automation
Innovative Binaries
Cognitive Code
Searidge Technologies
Segment by Type
Hardware
Software
Services
Segment by Application
Surveillance
Virtual Assistance
Flight Operations
Smart Logistics
Others
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 AI 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.
Index1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global AI In Aviation Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Hardware
1.2.3 Software
1.2.4 Services
1.3 Market by Application
1.3.1 Global AI In Aviation Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Surveillance
1.3.3 Virtual Assistance
1.3.4 Flight Operations
1.3.5 Smart Logistics
1.3.6 Others
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global AI In Aviation Market Perspective (2019-2030)
2.2 AI In Aviation Growth Trends by Region
2.2.1 Global AI In Aviation Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 AI In Aviation Historic Market Size by Region (2019-2024)
2.2.3 AI In Aviation Forecasted Market Size by Region (2025-2030)
2.3 AI In Aviation Market Dynamics
2.3.1 AI In Aviation Industry Trends
2.3.2 AI In Aviation Market Drivers
2.3.3 AI In Aviation Market Challenges
2.3.4 AI In Aviation Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top AI In Aviation Players by Revenue
3.1.1 Global Top AI In Aviation Players by Revenue (2019-2024)
3.1.2 Global AI In Aviation Revenue Market Share by Players (2019-2024)
3.2 Global AI In Aviation Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by AI In Aviation Revenue
3.4 Global AI In Aviation Market Concentration Ratio
3.4.1 Global AI In Aviation Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by AI In Aviation Revenue in 2023
3.5 AI In Aviation Key Players Head office and Area Served
3.6 Key Players AI In Aviation Product Solution and Service
3.7 Date of Enter into AI In Aviation Market
3.8 Mergers & Acquisitions, Expansion Plans
4 AI In Aviation Breakdown Data by Type
4.1 Global AI In Aviation Historic Market Size by Type (2019-2024)
4.2 Global AI In Aviation Forecasted Market Size by Type (2025-2030)
5 AI In Aviation Breakdown Data by Application
5.1 Global AI In Aviation Historic Market Size by Application (2019-2024)
5.2 Global AI In Aviation Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America AI In Aviation Market Size (2019-2030)
6.2 North America AI In Aviation Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America AI In Aviation Market Size by Country (2019-2024)
6.4 North America AI In Aviation Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe AI In Aviation Market Size (2019-2030)
7.2 Europe AI In Aviation Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe AI In Aviation Market Size by Country (2019-2024)
7.4 Europe AI 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 AI In Aviation Market Size (2019-2030)
8.2 Asia-Pacific AI In Aviation Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific AI In Aviation Market Size by Region (2019-2024)
8.4 Asia-Pacific AI 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 AI In Aviation Market Size (2019-2030)
9.2 Latin America AI In Aviation Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America AI In Aviation Market Size by Country (2019-2024)
9.4 Latin America AI In Aviation Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa AI In Aviation Market Size (2019-2030)
10.2 Middle East & Africa AI In Aviation Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa AI In Aviation Market Size by Country (2019-2024)
10.4 Middle East & Africa AI In Aviation Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Intel Corporation
11.1.1 Intel Corporation Company Detail
11.1.2 Intel Corporation Business Overview
11.1.3 Intel Corporation AI In Aviation Introduction
11.1.4 Intel Corporation Revenue in AI In Aviation Business (2019-2024)
11.1.5 Intel Corporation Recent Development
11.2 Garmin Ltd.
11.2.1 Garmin Ltd. Company Detail
11.2.2 Garmin Ltd. Business Overview
11.2.3 Garmin Ltd. AI In Aviation Introduction
11.2.4 Garmin Ltd. Revenue in AI In Aviation Business (2019-2024)
11.2.5 Garmin Ltd. Recent Development
11.3 IBM Corporation
11.3.1 IBM Corporation Company Detail
11.3.2 IBM Corporation Business Overview
11.3.3 IBM Corporation AI In Aviation Introduction
11.3.4 IBM Corporation Revenue in AI In Aviation Business (2019-2024)
11.3.5 IBM Corporation Recent Development
11.4 Airbus SE
11.4.1 Airbus SE Company Detail
11.4.2 Airbus SE Business Overview
11.4.3 Airbus SE AI In Aviation Introduction
11.4.4 Airbus SE Revenue in AI In Aviation Business (2019-2024)
11.4.5 Airbus SE Recent Development
11.5 Boeing
11.5.1 Boeing Company Detail
11.5.2 Boeing Business Overview
11.5.3 Boeing AI In Aviation Introduction
11.5.4 Boeing Revenue in AI In Aviation Business (2019-2024)
11.5.5 Boeing Recent Development
11.6 General Electric
11.6.1 General Electric Company Detail
11.6.2 General Electric Business Overview
11.6.3 General Electric AI In Aviation Introduction
11.6.4 General Electric Revenue in AI In Aviation Business (2019-2024)
11.6.5 General Electric Recent Development
11.7 Amazon
11.7.1 Amazon Company Detail
11.7.2 Amazon Business Overview
11.7.3 Amazon AI In Aviation Introduction
11.7.4 Amazon Revenue in AI In Aviation Business (2019-2024)
11.7.5 Amazon Recent Development
11.8 Microsoft Corporation
11.8.1 Microsoft Corporation Company Detail
11.8.2 Microsoft Corporation Business Overview
11.8.3 Microsoft Corporation AI In Aviation Introduction
11.8.4 Microsoft Corporation Revenue in AI In Aviation Business (2019-2024)
11.8.5 Microsoft Corporation Recent Development
11.9 NVIDIA Corporation
11.9.1 NVIDIA Corporation Company Detail
11.9.2 NVIDIA Corporation Business Overview
11.9.3 NVIDIA Corporation AI In Aviation Introduction
11.9.4 NVIDIA Corporation Revenue in AI In Aviation Business (2019-2024)
11.9.5 NVIDIA Corporation Recent Development
11.10 Neurala Inc.
11.10.1 Neurala Inc. Company Detail
11.10.2 Neurala Inc. Business Overview
11.10.3 Neurala Inc. AI In Aviation Introduction
11.10.4 Neurala Inc. Revenue in AI In Aviation Business (2019-2024)
11.10.5 Neurala Inc. Recent Development
11.11 Samsung Electronics
11.11.1 Samsung Electronics Company Detail
11.11.2 Samsung Electronics Business Overview
11.11.3 Samsung Electronics AI In Aviation Introduction
11.11.4 Samsung Electronics Revenue in AI In Aviation Business (2019-2024)
11.11.5 Samsung Electronics Recent Development
11.12 Micron Technology
11.12.1 Micron Technology Company Detail
11.12.2 Micron Technology Business Overview
11.12.3 Micron Technology AI In Aviation Introduction
11.12.4 Micron Technology Revenue in AI In Aviation Business (2019-2024)
11.12.5 Micron Technology Recent Development
11.13 Xilinx
11.13.1 Xilinx Company Detail
11.13.2 Xilinx Business Overview
11.13.3 Xilinx AI In Aviation Introduction
11.13.4 Xilinx Revenue in AI In Aviation Business (2019-2024)
11.13.5 Xilinx Recent Development
11.14 Thales S.A.
11.14.1 Thales S.A. Company Detail
11.14.2 Thales S.A. Business Overview
11.14.3 Thales S.A. AI In Aviation Introduction
11.14.4 Thales S.A. Revenue in AI In Aviation Business (2019-2024)
11.14.5 Thales S.A. Recent Development
11.15 Lockheed Martin Corporation
11.15.1 Lockheed Martin Corporation Company Detail
11.15.2 Lockheed Martin Corporation Business Overview
11.15.3 Lockheed Martin Corporation AI In Aviation Introduction
11.15.4 Lockheed Martin Corporation Revenue in AI In Aviation Business (2019-2024)
11.15.5 Lockheed Martin Corporation Recent Development
11.16 Northrop Grumman Corporation
11.16.1 Northrop Grumman Corporation Company Detail
11.16.2 Northrop Grumman Corporation Business Overview
11.16.3 Northrop Grumman Corporation AI In Aviation Introduction
11.16.4 Northrop Grumman Corporation Revenue in AI In Aviation Business (2019-2024)
11.16.5 Northrop Grumman Corporation Recent Development
11.17 Pilot AI Labs
11.17.1 Pilot AI Labs Company Detail
11.17.2 Pilot AI Labs Business Overview
11.17.3 Pilot AI Labs AI In Aviation Introduction
11.17.4 Pilot AI Labs Revenue in AI In Aviation Business (2019-2024)
11.17.5 Pilot AI Labs Recent Development
11.18 IRIS Automation
11.18.1 IRIS Automation Company Detail
11.18.2 IRIS Automation Business Overview
11.18.3 IRIS Automation AI In Aviation Introduction
11.18.4 IRIS Automation Revenue in AI In Aviation Business (2019-2024)
11.18.5 IRIS Automation Recent Development
11.19 Innovative Binaries
11.19.1 Innovative Binaries Company Detail
11.19.2 Innovative Binaries Business Overview
11.19.3 Innovative Binaries AI In Aviation Introduction
11.19.4 Innovative Binaries Revenue in AI In Aviation Business (2019-2024)
11.19.5 Innovative Binaries Recent Development
11.20 Cognitive Code
11.20.1 Cognitive Code Company Detail
11.20.2 Cognitive Code Business Overview
11.20.3 Cognitive Code AI In Aviation Introduction
11.20.4 Cognitive Code Revenue in AI In Aviation Business (2019-2024)
11.20.5 Cognitive Code Recent Development
11.21 Searidge Technologies
11.21.1 Searidge Technologies Company Detail
11.21.2 Searidge Technologies Business Overview
11.21.3 Searidge Technologies AI In Aviation Introduction
11.21.4 Searidge Technologies Revenue in AI In Aviation Business (2019-2024)
11.21.5 Searidge Technologies 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
Why ‘The Market Reports’
In Business:
Pre Sales Support:
Post Sales Support:
Turn Around Time:
Clients Served:
Clients Assisted:
Client Types:
Payment:
- Accept global payments [Credit Card / PayPal / Wire Transfer]
- Accept local payments in South Korea, Germany, China and India [Can pay in local currency]
Latest IT & Electronics Market Reports
Payments Accepted From
Connect with us at
Complete Secure Website
