Product Code: VMR11218989
The global demand for Artificial Intelligence in Aviation Market is presumed to reach the market size of nearly USD 105.41 MN by 2030 from USD 2.76 BN in 2022 with a CAGR of 57.67% under the study period 2023 - 2030.
Artificial Intelligence in Aviation combines several services and systems that help in the smooth management of ground operations, including air traffic control and customer care systems and many other aspects. AI in airlines refers to the techniques used in the collection and analysis of data about weather, aircraft weight, altitude, flight route distance etc. The typical example of AI in aviation includes aircraft fuel management, automated check-in, customer service, facial recognition, etc. AI helps improve services in this sector by detecting any irregularities in the operation or any fault in equipment so that they can be repaired on time. Additionally, it helps in the reduction of employee labor and assures the effectiveness of the system and the procedures. These systems ultimately help when taking off and landing aircraft, navigating, and tracking ground obstacles.
MARKET DYNAMICS:
The predictive analysis of the Artificial Intelligence in Aviation market shows a satisfactory growth rate in the coming years. The increasing importance of the role of big data in the aerospace industry is one of the prime market drivers of growth. Other factors such as the growing investments in this sector, the adoption of cloud-based technologies and services, the demand for business process optimization etc., fuel the market growth. The emphasis on machine learning for automated performance improvement is one of the contributing factors to the development of AI in aviation. The utilization of AI in customer service improvement is likely to create a lot of market opportunities for growth. Flight operations maintenance, surveillance, smart handling of logistics, manufacturing, smart pricing, virtual support etc., are aspects of AI applications that will continue to create opportunities for growth in the future.
The research report covers Porter's Five Forces Model, Market Attractiveness Analysis, and Value Chain analysis. These tools help to get a clear picture of the industry's structure and evaluate the competition attractiveness at a global level. Additionally, these tools also give an inclusive assessment of each segment in the global market of artificial intelligence in aviation. The growth and trends of artificial intelligence in aviation industry provide a holistic approach to this study.
MARKET SEGMENTATION:
This section of the artificial intelligence in aviation market report provides detailed data on the segments at country and regional level, thereby assisting the strategist in identifying the target demographics for the respective product or services with the upcoming opportunities.
By Offering
- Hardware
- Software
- Services
By Technology
- Machine Learning
- Natural Language Processing
- Context Awareness Computing
- Computer Vision
By Application
- Virtual Assistants
- Smart Maintenance
- Manufacturing
- Training
- Surveillance
- Flight Operations
- Dynamic Pricing
- Others
REGIONAL ANALYSIS:
This section covers the regional outlook, which accentuates current and future demand for the Artificial Intelligence in Aviation market across North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa. Further, the report focuses on demand, estimation, and forecast for individual application segments across all the prominent regions.
The research report also covers the comprehensive profiles of the key players in the market and an in-depth view of the competitive landscape worldwide. The major players in the artificial intelligence in aviation market include Intel (US), NVIDIA (US), IBM (US), Micron (US), Samsung (South Korea), Xilinx (US), Amazon (US), Microsoft (US), Airbus (France), Boeing (US), General Electric (US), Thales (France), Lockheed Martin (US), and Garmin (US). This section consists of a holistic view of the competitive landscape that includes various strategic developments such as key mergers & acquisitions, future capacities, partnerships, financial overviews, collaborations, new product developments, new product launches, and other developments.
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TABLE OF CONTENTS
1 . PREFACE
- 1.1. Report Description
- 1.1.1. Objective
- 1.1.2. Target Audience
- 1.1.3. Unique Selling Proposition (USP) & offerings
- 1.2. Research Scope
- 1.3. Research Methodology
- 1.3.1. Market Research Process
- 1.3.2. Market Research Methodology
2 . EXECUTIVE SUMMARY
- 2.1. Highlights of Market
- 2.2. Global Market Snapshot
3 . ARTIFICIAL INTELLIGENCE IN AVIATION - INDUSTRY ANALYSIS
- 3.1. Introduction - Market Dynamics
- 3.2. Market Drivers
- 3.3. Market Restraints
- 3.4. Opportunities
- 3.5. Industry Trends
- 3.6. Porter's Five Force Analysis
- 3.7. Market Attractiveness Analysis
- 3.7.1 Market Attractiveness Analysis By Offering
- 3.7.2 Market Attractiveness Analysis By Technology
- 3.7.3 Market Attractiveness Analysis By Application
- 3.7.4 Market Attractiveness Analysis By Region
4 . VALUE CHAIN ANALYSIS
- 4.1. Value Chain Analysis
- 4.2. Raw Material Analysis
- 4.2.1. List of Raw Materials
- 4.2.2. Raw Material Manufactures List
- 4.2.3. Price Trend of Key Raw Materials
- 4.3. List of Potential Buyers
- 4.4. Marketing Channel
- 4.4.1. Direct Marketing
- 4.4.2. Indirect Marketing
- 4.4.3. Marketing Channel Development Trend
5 . IMPACT ANALYSIS OF COVID-19 OUTBREAK
6 . GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET ANALYSIS BY OFFERING
- 6.1 Overview by Offering
- 6.2 Historical and Forecast Data
- 6.3 Analysis by Offering
- 6.4 Hardware Historic and Forecast Sales by Regions
- 6.5 Software Historic and Forecast Sales by Regions
- 6.6 Services Historic and Forecast Sales by Regions
7 . GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET ANALYSIS BY TECHNOLOGY
- 7.1 Overview by Technology
- 7.2 Historical and Forecast Data
- 7.3 Analysis by Technology
- 7.4 Machine Learning Historic and Forecast Sales by Regions
- 7.5 Natural Language Processing Historic and Forecast Sales by Regions
- 7.6 Context Awareness Computing Historic and Forecast Sales by Regions
- 7.7 Computer Vision Historic and Forecast Sales by Regions
8 . GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SALES ANALYSIS BY APPLICATION
- 8.1 Overview by Application
- 8.2 Historical and Forecast Data
- 8.3 Analysis by Application
- 8.4 Virtual Assistants Historic and Forecast Sales by Regions
- 8.5 Smart Maintenance Historic and Forecast Sales by Regions
- 8.6 Manufacturing Historic and Forecast Sales by Regions
- 8.7 Training Historic and Forecast Sales by Regions
- 8.8 Surveillance Historic and Forecast Sales by Regions
- 8.9 Flight Operations Historic and Forecast Sales by Regions
- 8.10. Dynamic Pricing Historic and Forecast Sales by Regions
- 8.11 Others Historic and Forecast Sales by Regions
9 . GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SALES ANALYSIS BY GEOGRAPHY
- 9.1. Regional Outlook Sales Analysis
- 9.2. Introduction Sales Analysis
- 9.3. North America Sales Analysis
- 9.3.1. Overview, Historic and Forecast Sales Analysis
- 9.3.2. North America By Segment Sales Analysis
- 9.3.3. North America By Country Sales Analysis
- 9.3.4. United State Sales Analysis
- 9.3.5. Canada Sales Analysis
- 9.3.6. Mexico Sales Analysis
- 9.4. Europe Sales Analysis
- 9.4.1. Overview, Historic and Forecast Sales Analysis
- 9.4.2. Europe by Segment Sales Analysis
- 9.4.3. Europe by Country Sales Analysis
- 9.4.4. United Kingdom Sales Analysis
- 9.4.5. France Sales Analysis
- 9.4.6. Germany Sales Analysis
- 9.4.7. Italy Sales Analysis
- 9.4.8. Russia Sales Analysis
- 9.4.9. Rest Of Europe Sales Analysis
- 9.5. Asia Pacific Sales Analysis
- 9.5.1. Overview, Historic and Forecast Sales Analysis
- 9.5.2. Asia Pacific by Segment Sales Analysis
- 9.5.3. Asia Pacific by Country Sales Analysis
- 9.5.4. China Sales Analysis
- 9.5.5. India Sales Analysis
- 9.5.6. Japan Sales Analysis
- 9.5.7. South Korea Sales Analysis
- 9.5.8. Australia Sales Analysis
- 9.5.9. Rest Of Asia Pacific Sales Analysis
- 9.6. Latin America Sales Analysis
- 9.6.1. Overview, Historic and Forecast Sales Analysis
- 9.6.2. Latin America by Segment Sales Analysis
- 9.6.3. Latin America by Country Sales Analysis
- 9.6.4. Brazil Sales Analysis
- 9.6.5. Argentina Sales Analysis
- 9.6.6. Peru Sales Analysis
- 9.6.7. Chile Sales Analysis
- 9.6.8. Rest of Latin America Sales Analysis
- 9.7. Middle East & Africa Sales Analysis
- 9.7.1. Overview, Historic and Forecast Sales Analysis
- 9.7.2. Middle East & Africa by Segment Sales Analysis
- 9.7.3. Middle East & Africa by Country Sales Analysis
- 9.7.4. Saudi Arabia Sales Analysis
- 9.7.5. UAE Sales Analysis
- 9.7.6. Israel Sales Analysis
- 9.7.7. South Africa Sales Analysis
- 9.7.8. Rest Of Middle East And Africa Sales Analysis
10 . COMPETITIVE LANDSCAPE OF THE ARTIFICIAL INTELLIGENCE IN AVIATION COMPANIES
- 10.1. Artificial Intelligence In Aviation Market Competition
- 10.2. Partnership/Collaboration/Agreement
- 10.3. Merger And Acquisitions
- 10.4. New Product Launch
- 10.5. Other Developments
11 . COMPANY PROFILES OF ARTIFICIAL INTELLIGENCE IN AVIATION INDUSTRY
- 11.1. Top 10 Company Share Analysis
- 11.2. Market Concentration Rate
- 11.3. Intel (US)
- 11.3.1. Company Overview
- 11.3.2. Company Revenue
- 11.3.3. Products
- 11.3.4. Recent Developments
- 11.4. NVIDIA (US)
- 11.4.1. Company Overview
- 11.4.2. Company Revenue
- 11.4.3. Products
- 11.4.4. Recent Developments
- 11.5. IBM (US)
- 11.5.1. Company Overview
- 11.5.2. Company Revenue
- 11.5.3. Products
- 11.5.4. Recent Developments
- 11.6. Micron (US)
- 11.6.1. Company Overview
- 11.6.2. Company Revenue
- 11.6.3. Products
- 11.6.4. Recent Developments
- 11.7. Samsung (South Korea)
- 11.7.1. Company Overview
- 11.7.2. Company Revenue
- 11.7.3. Products
- 11.7.4. Recent Developments
- 11.8. Xilinx (US)
- 11.8.1. Company Overview
- 11.8.2. Company Revenue
- 11.8.3. Products
- 11.8.4. Recent Developments
- 11.9. Amazon (US)
- 11.9.1. Company Overview
- 11.9.2. Company Revenue
- 11.9.3. Products
- 11.9.4. Recent Developments
- 11.10. Microsoft (US)
- 11.10.1. Company Overview
- 11.10.2. Company Revenue
- 11.10.3. Products
- 11.10.4. Recent Developments
- 11.11. Airbus (France)
- 11.11.1. Company Overview
- 11.11.2. Company Revenue
- 11.11.3. Products
- 11.11.4. Recent Developments
- 11.12. Boeing (US)
- 11.12.1. Company Overview
- 11.12.2. Company Revenue
- 11.12.3. Products
- 11.12.4. Recent Developments
- 11.13. General Electric (US)
- 11.13.1. Company Overview
- 11.13.2. Company Revenue
- 11.13.3. Products
- 11.13.4. Recent Developments
- 11.14. Thales (France)
- 11.14.1. Company Overview
- 11.14.2. Company Revenue
- 11.14.3. Products
- 11.14.4. Recent Developments
- 11.15. Lockheed Martin (US)
- 11.15.1. Company Overview
- 11.15.2. Company Revenue
- 11.15.3. Products
- 11.15.4. Recent Developments
- 11.16. Garmin (US)
- 11.16.1. Company Overview
- 11.16.2. Company Revenue
- 11.16.3. Products
- 11.16.4. Recent Developments
Note - in company profiling, financial details and recent development are subject to availability or might not be covered in case of private companies