The Artificial Intelligence in Aviation market will exhibit a CAGR of 46.3% for the forecast period of 2022-2029 and is likely to reach the USD 9,995.83 million by 2029.
The global Ai in aviation market is expected to witness a significant rise during the forecast period, owing to the rising usage of big data analytics in the aerospace industry. The rapidly increasing investments by the aerospace companies in towards the adoption of the cloud-based technologies and services is boosting the growth of the global AI in aviation market. The airlines industry and the airports are increasingly adopting the latest and novel technologies like artificial intelligence to improve services and smooth operations. The rising operational costs and rising need for improving the profitability is fostering the adoption of AI in the aviation industry. Airways has now become an important medium of transport across the globe and hence the rising focus on the improvement of the customer services is significantly boosting the demand for the AI in aviation industry. There has been a significant rise in the adoption of the AI based chat bots that facilitates the travelers in online ticket booking.
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The adoption of the AI and machine learning technologies are expected to enhance the air traffic control and predictive maintenance activities in the near future. The adoption of AI for observation tasks such as time series analysis, natural language processing, and computer vision. The ongoing developments and rising investments on the research activities are expected to surge the number of applications of AI in the various complex operations of the aviation industry. EHang, a China-based company and Airbus are collectively engaged in developing AI-based navigation technology. EHang uses AI in its autonomous aircrafts and Airbus has completed its first taxi, take-off and landing using the vision-based AI. Therefore, the rising focus on the adoption of the AI for performing different operations in the aviation industry is significantly boosting the growth of the global AI in aviation market.
Key Market Developments
Some of the prominent players in the global artificial intelligence in aviation market include:
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 and others
Segments Covered in the Report
By Offering
By Technology
By Application
Artificial Intelligence in Aviation Market by Region
Table of Content (TOC):
Chapter 1: Introduction and Overview
Chapter 2: Industry Cost Structure and Economic Impact
Chapter 3: Rising Trends and New Technologies with Major key players
Chapter 4:Global Artificial intelligence in aviation Market Analysis, Trends, Growth Factor
Chapter 5: Artificial intelligence in aviation Market Application and Business with Potential Analysis
Chapter 6: Global Artificial intelligence in aviation Market Segment, Type, Application
Chapter 7: Global Artificial intelligence in aviation Market Analysis (by Application, Type, End User)
Chapter 8: Major Key Vendors Analysis of Artificial intelligence in aviation Market
Chapter 9: Development Trend of Analysis
Chapter 10: Conclusion
Conclusion:At the end of Artificial intelligence in aviation Market report, all the findings and estimation are given. It also includes major drivers, and opportunities along with regional analysis. Segment analysis is also providing in terms of type and application both.
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This helps to understand the overall market and to recognize the growth opportunities in the global Artificial intelligence in aviation Market. The report also includes a detailed profile and information of all the major Artificial intelligence in aviation market players currently active in the global Artificial intelligence in aviation Market. The companies covered in the report can be evaluated on the basis of their latest developments, financial and business overview, product portfolio, key trends in the Artificial intelligence in aviation market, long-term and short-term business strategies by the companies in order to stay competitive in the Artificial intelligence in aviation market.
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