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US Artificial Intelligence in Aviation Market (2022-2027) by Offerings, Technology, Applications, Competitive Analysis and the Impact of Covid-19 with Ansoff Analysis

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    Report

  • 168 Pages
  • April 2022
  • Region: United States
  • Infogence Global Research
  • ID: 5585676
The US Artificial Intelligence in Aviation Market is estimated to be USD 1.41 Bn in 2022 and is projected to reach USD 7.35 Bn by 2027, growing at a CAGR of 39.12%.



Market dynamics are forces that impact the prices and behaviors of the US 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.

Market Segmentations

The US Artificial Intelligence in Aviation Market is segmented based on Offerings, Technology, and Applications.
  • By Offerings, the market is classified into Software, Hardware, and Services.
  • By Technology, the market is classified into Machine Learning, Natural Language Processing, Context Awareness Computing, and Computer Vision.
  • By Applications, the market is classified into Smart Maintenance, Flight Operations, Training, Surveillance, Virtual Assistants, Dynamic Pricing, Manufacturing, and Others.

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, Intel Corp, Thales Group, Xilinx Inc, etc.

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 US 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 US 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 US 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.

Report Highlights:

  • A complete analysis of the market, including parent industry
  • Important market dynamics and trends
  • Market segmentation
  • Historical, current, and projected size of the market based on value and volume
  • Market shares and strategies of key players
  • Recommendations to companies for strengthening their foothold in the market

Table of Contents

1 Report Description
1.1 Study Objectives
1.2 Market Definition
1.3 Currency
1.4 Years Considered
1.5 Language
1.6 Key Stakeholders
2 Research Methodology
2.1 Research Process
2.2 Data Collection and Validation
2.2.1 Secondary Research
2.2.2 Primary Research
2.2.3 Models
2.3 Market Size Estimation
2.3.1 Bottom-Up Approach
2.3.2 Top-Down Approach
2.4 Assumptions of the Study
2.5 Limitations of the Study
3 Executive Summary
3.1 Introduction
3.2 Market Size, Segmentations and Outlook
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 High Initial Investment
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 US 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 US 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 US 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
8.9 1 Material Movement
8.10 2 Predictive Maintenance and Machinery Inspection
8.11 3 Production Planning
8.12 4 Quality Control
8.13 5 Reclamation
8.14 Others
9 Competitive Landscape
9.1 Competitive Quadrant
9.2 Market Share Analysis
9.3 Strategic Initiatives
9.3.1 M&A and Investments
9.3.2 Partnerships and Collaborations
9.3.3 Product Developments and Improvements
10 Company Profiles
10.1 Airbus SE
10.2 Amazon.com Inc
10.3 Boeing
10.4 Intel Corp
10.5 International Business Machines Corp (IBM)
10.6 Iris Automation Inc
10.7 Micron Technology Inc
10.8 Microsoft Corp
10.9 NEURALA Inc
10.10 Nvidia Corp
10.11 Pilot AI Labs Inc
10.12 Samsung Electronics Co. Ltd
10.13 Thales Group
10.14 Xilinx Inc
11 Appendix
11.1 Questionnaire

Companies Mentioned

  • Airbus SE
  • Amazon.com Inc
  • Boeing
  • Intel Corp
  • International Business Machines Corp (IBM)
  • Iris Automation Inc
  • Micron Technology Inc
  • Microsoft Corp
  • NEURALA Inc
  • Nvidia Corp
  • Pilot AI Labs Inc
  • Samsung Electronics Co. Ltd
  • Thales Group
  • Xilinx Inc

Table Information