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Artificial Intelligence in Aviation Market Technology Trends by 2027 – Top Companies Airbus, Amazon, Boeing, Intel, IBM, Micron, Microsoft and NVIDIA

Press release   •   Aug 15, 2019 10:57 IST

Artificial Intelligence in Aviation Market

The Insight Partner’s dedicated research and analysis team consist of experienced professionals with advanced statistical expertise and offer various customization options in the existing study.

The Artificial Intelligence in Aviation market is anticipated to grow in the forecast period owing to driving factors such as readily available advanced computing capabilities and explosion in the data availability and processing needs. The market is likely to showcase opportunities as the industry continues to invest in its IT and analytics capabilities. Furthermore, integration of connectivity on-board is also expected to provide the market with significant growth motivation.

Growing urbanization has resulted in advent of several disruptive technologies including the artificial intelligence. The AI has become integrated fragment of almost the sectors and recently the technology has also taken a plunge into aviation sector. Autopilot and flight management system are some of the key areas of implementation of the AI in aviation industry.

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Some of the Major Players in Global Market: Airbus, Amazon, Boeing, Intel Corporation, IBM Corp., Micron, Microsoft, NVIDIA, Samsung and  Xilinx Inc.

Worldwide Artificial Intelligence in Aviation Market Analysis to 2027 is a specialized and in-depth study of the Hyper Converged Infrastructure industry with a focus on the global market trend. Various segments of the market such as type/components/ application/industry verticals/ end-users are analyzed with robust research methodology which includes three step process starting with extensive secondary research to gather data from company profiles, global/regional associations, trade journals, technical white papers, paid databases etc. followed by primary research (interviews) with industry experts/KOLs to gain their insights and views on current scenarios and future scope of the market as well as validating the secondary information, further internal statistical model is used to estimate the market size and forecasts till 2027.

Market Segmentation:

The global Artificial Intelligence in Aviation market is segmented on the basis of offering, technology, application. Based offering, the market is segmented as Software, Service. On the basis of the technology the market is segmented as Machine Learning, Natural Language Processing (NlP), Context Awareness Computing, and Computer Vision. The market on the basis of the end user is classified as Smart Maintenance, Flight Operations, Training, Surveillance, and Others.

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The report provides a detailed overview of the industry including both qualitative and quantitative information. It provides overview and forecast of the global Artificial Intelligence in Aviation market based on various segments. It also provides market size and forecast estimates from year 2017 to 2027 with respect to five major regions, namely; North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA) and South & Central America. The Artificial Intelligence in Aviation market by each region is later sub-segmented by respective countries and segments. The report covers analysis and forecast of 18 countries globally along with current trend and opportunities prevailing in the region.

The report analyzes factors affecting Artificial Intelligence in Aviation market from both demand and supply side and further evaluates market dynamics effecting the market during the forecast period i.e., drivers, restraints, opportunities, and future trend. The report also provides exhaustive PEST analysis for all five regions namely; North America, Europe, APAC, MEA and South & Central America after evaluating political, economic, social and technological factors effecting the Artificial Intelligence in Aviation market in these regions.

Reasons to Buy the Report:

  • Learn about the driving factors, affecting the market growth.
  • Imbibe the advancements and progress in the market during the forecast period.
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  • Compare and evaluate various options affecting the market.
  • Pick up on the leading market players within the market.
  • Envision the restrictions and restrains that are likely to hamper the market.

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