Artificial Intelligence in Aviation Market by Offering (Hardware, Services, Software), Technology (Computer Vision, Context Awareness Computing, Machine Learning), Application - Global Forecast 2024-2030
The Artificial Intelligence in Aviation Market size was estimated at USD 957.13 million in 2023 and expected to reach USD 1,313.83 million in 2024, at a CAGR 37.36% to reach USD 8,831.46 million by 2030.
FPNV Positioning Matrix
The FPNV Positioning Matrix is pivotal in evaluating the Artificial Intelligence in Aviation Market. It offers a comprehensive assessment of vendors, examining key metrics related to Business Strategy and Product Satisfaction. This in-depth analysis empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success: Forefront (F), Pathfinder (P), Niche (N), or Vital (V).
Market Share Analysis
The Market Share Analysis is a comprehensive tool that provides an insightful and in-depth examination of the current state of vendors in the Artificial Intelligence in Aviation Market. By meticulously comparing and analyzing vendor contributions in terms of overall revenue, customer base, and other key metrics, we can offer companies a greater understanding of their performance and the challenges they face when competing for market share. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With this expanded level of detail, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.
Key Company Profiles
The report delves into recent significant developments in the Artificial Intelligence in Aviation Market, highlighting leading vendors and their innovative profiles. These include Airbus SE, Amazon Web Services Inc., AXISCADES Engineering Technologies Limited, Boeing Company, Dataiku Ltd., General Electric Company, Innovative Binaries, International Business Machines Corporation, Iris Automation Inc., Lockheed Martin Corporation, Microsoft Corporation, Mindtitan OU, Northrop Grumman Corporation, NVIDIA Corporation, Samsung Electronics Co., Ltd., Searidge Technologies Inc., TAV Technologies, Thales S.A., and Tvarit GmbH.
Market Segmentation & Coverage
This research report categorizes the Artificial Intelligence in Aviation Market to forecast the revenues and analyze trends in each of the following sub-markets:
Offering
Hardware
Memory
Networks
Processors
Services
Deployment & Integration
Support & Maintenance
Software
Technology
Computer Vision
Context Awareness Computing
Machine Learning
Deep Learning
Reinforcement Learning
Semi-Supervised Learning
Supervised Learning
Unsupervised Learning
Natural Language Processing
Application
Dynamic Pricing
Flight Operations
Manufacturing
Smart Maintenance
Surveillance
Training
Virtual Assistants
Region
Americas
Argentina
Brazil
Canada
Mexico
United States
California
Florida
Illinois
New York
Ohio
Pennsylvania
Texas
Asia-Pacific
Australia
China
India
Indonesia
Japan
Malaysia
Philippines
Singapore
South Korea
Taiwan
Thailand
Vietnam
Europe, Middle East & Africa
Denmark
Egypt
Finland
France
Germany
Israel
Italy
Netherlands
Nigeria
Norway
Poland
Qatar
Russia
Saudi Arabia
South Africa
Spain
Sweden
Switzerland
Turkey
United Arab Emirates
United Kingdom The report offers valuable insights on the following aspects:
Market Penetration: It presents comprehensive information on the market provided by key players.
Market Development: It delves deep into lucrative emerging markets and analyzes the penetration across mature market segments.
Market Diversification: It provides detailed information on new product launches, untapped geographic regions, recent developments, and investments.
Competitive Assessment & Intelligence: It conducts an exhaustive assessment of market shares, strategies, products, certifications, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players.
Product Development & Innovation: It offers intelligent insights on future technologies, R&D activities, and breakthrough product developments.
The report addresses key questions such as:
What is the market size and forecast of the Artificial Intelligence in Aviation Market?
Which products, segments, applications, and areas should one consider investing in over the forecast period in the Artificial Intelligence in Aviation Market?
What are the technology trends and regulatory frameworks in the Artificial Intelligence in Aviation Market?
What is the market share of the leading vendors in the Artificial Intelligence in Aviation Market?
Which modes and strategic moves are suitable for entering the Artificial Intelligence in Aviation Market?
Note: PDF & Excel + Online Access - 1 Year
1. Preface
1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Limitations
1.7. Assumptions
1.8. Stakeholders
2. Research Methodology
2.1. Define: Research Objective
2.2. Determine: Research Design
2.3. Prepare: Research Instrument
2.4. Collect: Data Source
2.5. Analyze: Data Interpretation
2.6. Formulate: Data Verification
2.7. Publish: Research Report
2.8. Repeat: Report Update
3. Executive Summary
4. Market Overview
4.1. Introduction
4.2. Artificial Intelligence in Aviation Market, by Region
5. Market Insights
5.1. Market Dynamics
5.1.1. Drivers
5.1.1.1. Increasing use of big data in the aviation industry
5.1.1.2. Growing adoption of cloud-based applications and services in aviation sector
5.1.1.3. Significant increase in investments for AI by aviation companies
5.1.2. Restraints
5.1.2.1. Dearth of experts in artificial intelligence
5.1.3. Opportunities
5.1.3.1. Growing introduction of AI-based navigation technology
5.1.3.2. Increasing popularity of chatbots based on AI and machine learning
5.1.4. Challenges
5.1.4.1. Data security & privacy concern
5.2. Market Segmentation Analysis
5.3. Market Trend Analysis
5.4. Cumulative Impact of High Inflation
5.5. Porter’s Five Forces Analysis
5.5.1. Threat of New Entrants
5.5.2. Threat of Substitutes
5.5.3. Bargaining Power of Customers
5.5.4. Bargaining Power of Suppliers
5.5.5. Industry Rivalry
5.6. Value Chain & Critical Path Analysis
5.7. Regulatory Framework
6. Artificial Intelligence in Aviation Market, by Offering
6.1. Introduction
6.2. Hardware
6.3.1. Memory
6.3.2. Networks
6.3.3. Processors
6.3. Services
6.4.1. Deployment & Integration
6.4.2. Support & Maintenance
6.4. Software
7. Artificial Intelligence in Aviation Market, by Technology
7.1. Introduction
7.2. Computer Vision
7.3. Context Awareness Computing
7.4. Machine Learning
7.5.1. Deep Learning
7.5.2. Reinforcement Learning
7.5.3. Semi-Supervised Learning
7.5.4. Supervised Learning
7.5.5. Unsupervised Learning
7.5. Natural Language Processing
8. Artificial Intelligence in Aviation Market, by Application
8.1. Introduction
8.2. Dynamic Pricing
8.3. Flight Operations
8.4. Manufacturing
8.5. Smart Maintenance
8.6. Surveillance
8.7. Training
8.8. Virtual Assistants
9. Americas Artificial Intelligence in Aviation Market
9.1. Introduction
9.2. Argentina
9.3. Brazil
9.4. Canada
9.5. Mexico
9.6. United States
10. Asia-Pacific Artificial Intelligence in Aviation Market
10.1. Introduction
10.2. Australia
10.3. China
10.4. India
10.5. Indonesia
10.6. Japan
10.7. Malaysia
10.8. Philippines
10.9. Singapore
10.10. South Korea
10.11. Taiwan
10.12. Thailand
10.13. Vietnam
11. Europe, Middle East & Africa Artificial Intelligence in Aviation Market
11.1. Introduction
11.2. Denmark
11.3. Egypt
11.4. Finland
11.5. France
11.6. Germany
11.7. Israel
11.8. Italy
11.9. Netherlands
11.10. Nigeria
11.11. Norway
11.12. Poland
11.13. Qatar
11.14. Russia
11.15. Saudi Arabia
11.16. South Africa
11.17. Spain
11.18. Sweden
11.19. Switzerland
11.20. Turkey
11.21. United Arab Emirates
11.22. United Kingdom
12. Competitive Landscape
12.1. FPNV Positioning Matrix
12.2. Market Share Analysis, By Key Player
12.3. Competitive Scenario Analysis, By Key Player