The Global Artificial Intelligence in Aviation Market is estimated to be USD 6.47 Bn in 2022 and is projected to reach USD 32.65 Bn by 2027, growing at a CAGR of 38.23%..
Market dynamics are forces that impact the prices and behaviors of the Global Artificial Intelligence in Aviation Market stakeholders. These forces create pricing signals which result from the changes in the supply and demand curves for a given product or service. Forces of Market Dynamics may be related to macro-economic and micro-economic factors. There are dynamic market forces other than price, demand, and supply. Human emotions can also drive decisions, influence the market, and create price signals.
As the market dynamics impact the supply and demand curves, decision-makers aim to determine the best way to use various financial tools to stem various strategies for speeding the growth and reducing the risks.
Company Profiles
The report provides a detailed analysis of the competitors in the market. It covers the financial performance analysis for the publicly listed companies in the market. The report also offers detailed information on the companies' recent development and competitive scenario. Some of the companies covered in this report are Airbus SE, Amazon.com Inc, Boeing, Garmin Ltd, Intel Corp, Xilinx Inc, etc.
Countries Studied
America (Argentina, Brazil, Canada, Chile, Colombia, Mexico, Peru, United States, Rest of Americas)
Europe (Austria, Belgium, Denmark, Finland, France, Germany, Italy, Netherlands, Norway, Poland, Russia, Spain, Sweden, Switzerland, United Kingdom, Rest of Europe)
Middle-East and Africa (Egypt, Israel, Qatar, Saudi Arabia, South Africa, United Arab Emirates, Rest of MEA)
Asia-Pacific (Australia, Bangladesh, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Sri Lanka, Thailand, Taiwan, Rest of Asia-Pacific)
Competitive Quadrant
The report includes Competitive Quadrant, a proprietary tool to analyze and evaluate the position of companies based on their Industry Position score and Market Performance score. The tool uses various factors for categorizing the players into four categories. Some of these factors considered for analysis are financial performance over the last 3 years, growth strategies, innovation score, new product launches, investments, growth in market share, etc.
Ansoff Analysis
The report presents a detailed Ansoff matrix analysis for the Global Artificial Intelligence in Aviation Market. Ansoff Matrix, also known as Product/Market Expansion Grid, is a strategic tool used to design strategies for the growth of the company. The matrix can be used to evaluate approaches in four strategies viz. Market Development, Market Penetration, Product Development and Diversification. The matrix is also used for risk analysis to understand the risk involved with each approach.
The analyst analyses the Global Artificial Intelligence in Aviation Market using the Ansoff Matrix to provide the best approaches a company can take to improve its market position.
Based on the SWOT analysis conducted on the industry and industry players, The analyst has devised suitable strategies for market growth.
Why buy this report?
The report offers a comprehensive evaluation of the Global Artificial Intelligence in Aviation Market. The report includes in-depth qualitative analysis, verifiable data from authentic sources, and projections about market size. The projections are calculated using proven research methodologies.
The report has been compiled through extensive primary and secondary research. The primary research is done through interviews, surveys, and observation of renowned personnel in the industry.
The report includes an in-depth market analysis using Porter's 5 forces model and the Ansoff Matrix. In addition, the impact of Covid-19 on the market is also featured in the report.
The report also includes the regulatory scenario in the industry, which will help you make a well-informed decision. The report discusses major regulatory bodies and major rules and regulations imposed on this sector across various geographies.
The report also contains the competitive analysis using Positioning Quadrants, the analyst's Proprietary competitive positioning tool.
Key Topics Covered:
1 Report Description
2 Research Methodology
3 Executive Summary
4 Market Dynamics 4.1 Drivers 4.1.1 Use of Big Data in Aerospace Industry 4.1.2 Significant Increase in Capital Investments by Aviation Companies 4.1.3 Rising Adoption of Cloud-Based Applications and Services in Aviation Industry 4.2 Restraints 4.2.1 Limited Number of AI Experts 4.3 Opportunities 4.3.1 Increasing Adoption of AI to Improve Customer Services 4.3.2 Improved Operational Efficiency with the Help of AI in Aviation Industry 4.4 Challenges 4.4.1 Concerns Regarding Data Privacy
5 Market Analysis 5.1 Regulatory Scenario 5.2 Porter's Five Forces Analysis 5.3 Impact of COVID-19 5.4 Ansoff Matrix Analysis
6 Global Artificial Intelligence in Aviation Market, By Offerings 6.1 Introduction 6.2 Software 6.2.1 AI Solutions 6.2.2 AI Platforms 6.3 Hardware 6.3.1 Processors 6.3.2 Memory 6.3.3 Networks 6.4 Services 6.4.1 Deployment & Integration 6.4.2 Support & Maintenance
7 Global Artificial Intelligence in Aviation Market, By Technology 7.1 Introduction 7.2 Machine Learning 7.2.1 Deep Learning 7.2.2 Supervised Learning 7.2.3 Unsupervised Learning 7.2.4 Reinforcement Learning 7.2.5 Semi-Supervised Learning 7.3 Natural Language Processing 7.4 Context Awareness Computing 7.5 Computer Vision
8 Global Artificial Intelligence in Aviation Market, By Applications 8.1 Introduction 8.2 Smart Maintenance 8.3 Flight Operations 8.4 Training 8.5 Surveillance 8.6 Virtual Assistants 8.7 Dynamic Pricing 8.8 Manufacturing 8.8.1 Material Movement 8.8.2 Predictive Maintenance and Machinery Inspection 8.8.3 Production Planning 8.8.4 Quality Control 8.8.5 Reclamation 8.9 Others
9 Americas' Global Artificial Intelligence in Aviation Market 9.1 Introduction 9.2 Argentina 9.3 Brazil 9.4 Canada 9.5 Chile 9.6 Colombia 9.7 Mexico 9.8 Peru 9.9 United States 9.10 Rest of Americas
10 Europe's Global Artificial Intelligence in Aviation Market 10.1 Introduction 10.2 Austria 10.3 Belgium 10.4 Denmark 10.5 Finland 10.6 France 10.7 Germany 10.8 Italy 10.9 Netherlands 10.10 Norway 10.11 Poland 10.12 Russia 10.13 Spain 10.14 Sweden 10.15 Switzerland 10.16 United Kingdom 10.17 Rest of Europe
11 Middle East and Africa's Global Artificial Intelligence in Aviation Market 11.1 Introduction 11.2 Egypt 11.3 Israel 11.4 Qatar 11.5 Saudi Arabia 11.6 South Africa 11.7 United Arab Emirates 11.8 Rest of MEA
12 APAC's Global Artificial Intelligence in Aviation Market 12.1 Introduction 12.2 Australia 12.3 Bangladesh 12.4 China 12.5 India 12.6 Indonesia 12.7 Japan 12.8 Malaysia 12.9 Philippines 12.10 Singapore 12.11 South Korea 12.12 Sri Lanka 12.13 Thailand 12.14 Taiwan 12.15 Rest of Asia-Pacific
13 Competitive Landscape 13.1 Competitive Quadrant 13.2 Market Share Analysis 13.3 Strategic Initiatives 13.3.1 M&A and Investments 13.3.2 Partnerships and Collaborations 13.3.3 Product Developments and Improvements
14 Company Profiles 14.1 Airbus SE 14.2 Amazon.com Inc 14.3 Boeing 14.4 Garmin Ltd 14.5 Intel Corp 14.6 International Business Machines Corp (IBM) 14.7 Iris Automation Inc 14.8 Kittyhawk 14.9 Lockheed Martin Corp 14.10 Micron Technology Inc 14.11 Microsoft Corp 14.12 NEURALA Inc 14.13 Northrop Grumman Corp 14.14 Nvidia Corp 14.15 Pilot AI Labs Inc 14.16 Samsung Electronics Co. Ltd 14.17 Thales Group 14.18 Xilinx Inc
