Artificial Intelligence in Aviation Market was valued at US$ 189.7 Mn. in 2021 and is expected to grow at US$ 2,823.8 Mn in 2029. Artificial Intelligence in Aviation Market size is expected to grow at a CAGR of 47.07% through the forecast period.
Market Scope:
Using both primary and secondary research approaches, we researched the Artificial Intelligence in Aviation Market from every viewpoint. This helped us gain a better understanding of current market dynamics such as supply-demand imbalances, pricing trends, product preferences, customer habits, and so on. The data is then compiled and analysed using a range of market estimation and data validation techniques. Furthermore, we have an in-house data forecasting engine that forecasts market growth through 2027.
Artificial Intelligence in Aviation Market Overview:
The market research study analyses and assesses the market's position during the forecast period. It is a comprehensive examination that focuses on primary and secondary drivers, market share, leading segments, and geographical analysis.
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Segmentation:
By Offering
• Hardware
• Software
• Services
The software accounted for the majority of the entire AI in the aviation sector. This is owing to advancements in artificial intelligence software for applications such as surveillance, flight operations, and airport operations. To understand numerous applications in the aviation industry, AI systems include software that includes application interfaces such as language, speech, vision, and sensor data, as well as machine learning techniques.
By Application
• Virtual Assistants
• Smart Maintenance
• Manufacturing
• Training
• Surveillance
• Flight Operations
• Dynamic Pricing
• Others
the section Throughout the projection period, virtual assistants will dominate the market with the highest CAGR of XX%. AI-based virtual assistants assist airlines in increasing production and pilot efficiency by minimising recurrent tasks like as changing radio channels, checking wind predictions, and delivering position information on requests. These regular tasks are handled by AI-enabled virtual assistants. Garmin (US) provides AI-enabled audio panels that allow pilots to manipulate them without taking their hands off the controls. All of these elements contribute to the expansion of artificial intelligence in the aviation market.
By Technology
• Machine Learning
• Natural Language Processing
• Context Awareness Computing
• Computer Vision
In 2021, the machine learning segment will have the biggest market share. The ability of machine learning to gather and handle large amounts of data, as well as its enhanced ability to execute previously impossible computations, is supporting the growth of the machine learning market. Machine learning enables humans to manage vast amounts of data and discover trends and patterns that would otherwise be impossible to manage.
- Artificial Intelligence in Aviation Market: Research Methodology
- Artificial Intelligence in Aviation Market: Executive Summary
- Market Overview and Definitions
- Introduction to Artificial Intelligence in Aviation Market
- Summary
- Key Findings
- Recommendations for Investors
- Recommendations for Market Leaders
- Recommendations for New Market Entry
- Artificial Intelligence in Aviation Market: Competitive Analysis
- MMR Competition Matrix
- Market Structure by region
- Competitive Benchmarking of Key Players
- Consolidation in the Market
- M&A by region
- Key Developments by Companies
- Market Drivers
- Market Restraints
- Market Opportunities
- Market Challenges
- Market Dynamics
- PORTERS Five Forces Analysis
- PESTLE
- Regulatory Landscape by region
- North America
- Europe
- Asia Pacific
- Middle East and Africa
- South America
- COVID-19 Impact
- Artificial Intelligence in Aviation Market Segmentation
- Artificial Intelligence in Aviation Market, by offering (2021-2029)
- Artificial Intelligence in Aviation Market, by Technology (2021-2029)
- Artificial Intelligence in Aviation Market, by Application (2021-2029)
- Artificial Intelligence in Aviation Market(2021-2029)
- Artificial Intelligence in Aviation Market, by Type (2021-2029)
- Artificial Intelligence in Aviation Market, by Product (2021-2029)
- Artificial Intelligence in Aviation Market, by Application (2021-2029)
- Artificial Intelligence in Aviation Market, by Country (2021-2029)
- Company Profile: Key players
- Company Overview
- Financial Overview
- Global Presence
- Capacity Portfolio
- Business Strategy
- Recent Developments
Key Players:
The report also focuses on the global main industry players in the Artificial Intelligence in Aviation Market, including company biographies, product images and specs, capacity, production, price, cost, revenue, and contact information. The study examines prominent Artificial Intelligence in Aviation market businesses and ranks them in the market. The following players are featured in this report:
• Intel
• NVIDIA
• IBM
• Micron
• Samsung
• Xilinx
• Amazon
• Microsoft
• Airbus
• Boeing
• General Electric
• Thales
• Lockheed Martin
• Garmin
• Nvidia
• GE
• Pilot AI Labs
• Neurala
• Northrop Grumman
• IRIS Automation
• Kittyhawk
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Regional Analysis:
The Artificial Intelligence in Aviation market in each area is further segmented into regions and segments. The study examines and anticipates several nations, as well as current trends and opportunities in the area.
COVID-19 Impact Analysis on Artificial Intelligence in Aviation Market:
The primary goal of the research is to provide enterprises in the industry with a strategic analysis of the impact of COVID-19. Simultaneously, this research investigated the marketplaces of significant nations and presented their market potential.
Key Questions Answered in the Artificial Intelligence in Aviation Market Report are:
- What are some of the promising growth opportunities in the global Artificial Intelligence in Aviation market by product type and Region?
- Which Artificial Intelligence in Aviation market segments will grow the fastest, and why?
- Which regions will develop quicker?
- What are the elements influencing Artificial Intelligence in Aviation market?
- What are the Artificial Intelligence in Aviation market's business risks?
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he report "Artificial Intelligence in Aviation Market by Offering (Hardware, Software, Service), Technology (Machine Learning, Context Awareness, NLP, Computer Vision), Application (Virtual Assistants, Smart Maintenance), and Geography - Global Forecast to 2025", is expected to be valued at USD 152.4 Million in 2018 and is likely to reach USD 2,222.5 Million by 2025, at a CAGR of 46.65% during the forecast period.
The major factors driving the growth of the AI in aviation market include the use of big data in the aerospace industry, significant increase in capital investments by aviation companies, and rising adoption of cloud-based applications and services in the aviation industry.
Browse 66 tables and 52 figures spread through 165 pages and in-depth TOC on "Artificial Intelligence in Aviation Market - Global Forecast to 2025" Download PDF Brochure @ https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=106037016 Early buyers will receive 10% customization on reports.
AI systems require highly effective and efficient hardware to display intelligent capabilities similar to the human brain.
For example, in September 2017, Aerialtronics DV B.V. (Netherlands), Neurala (US), and NVIDIA (US) collectively developed an AI-based drone for flight inspections.
North America to hold the largest share of the overall AI in aviation market by 2025 Virtual assistance, smart maintenance, manufacturing, and surveillance are some of the major application areas for AI in the aviation sector in North America.
