Market Size in 2019 | Market Forecast in 2026 | CAGR (in %) | Base Year |
---|---|---|---|
USD 120.1 Million | USD 2,357.5 Million | 47% | 2020 |
The global Artificial Intelligence In Aviation market, which was estimated at about 120.1 (USD Million) in 2019 and is predicted to accrue earnings worth 2,357.5 (USD Million) by 2026, is set to record a CAGR of nearly over 47% during 2020-2026. The report offers valuation and analysis of Artificial Intelligence In Aviation market on a global as well as regional level. The study offers a comprehensive assessment of the industry competition, limitations, sales estimates, avenues, current & emerging trends, and industry-validated market data. The report offers historical data from 2016 to 2019 along with a forecast from 2020 to 2026 based on value (USD Million).
Artificial intelligence in the aviation sector is utilized for baggage check-in at airports, face recognition, addressing consumer issues, and focusing on airplane fuel efficiency. Need for reducing manual work in aviation industry will proliferate the growth of artificial intelligence in aviation sector over the assessment period. Massive requirement for automating aerospace & aviation activities for effectively managing aviation systems along with enhancing consumer satisfaction will proliferate the market size over the projected timeline.
The expansion of artificial intelligence in aviation industry over the assessment period is owing to use of big data in aviation sector. In addition to this, rise in the terrorist attacks & bombing have resulted in monitoring of bags of travellers and this will further steer the market trends. Apparently, need for passenger identification, recognizing identity thefts, and improving the efficiency of aircraft operations will proliferate the size of artificial intelligence in aviation market over the upcoming years. Furthermore, large-scale funding of AI systems will prompt the demand for artificial intelligence in aviation industry over the assessment period.
Moreover, AI-driven virtual assistants help the airline firms enhance the efficacy of pilots through reduction of monotonous tasks, accurately providing weather forecasts, and providing information about the location of aircrafts to the travellers on board. All these aforementioned aspects will steer the surge of artificial intelligence in aviation market over the predicted timeframe. AI also helps in improving customer services and this will further add to market profitability in the near future.
The artificial intelligence in aviation industry in APAC is slated to experience highest growth over 2020-2026 subject to rise in the use of machine learning as well as NLP technologies in aviation industry. Additionally, massive use of AI systems in the countries like China, Singapore, South Korea, Taiwan, and Japan will create lucrative growth opportunities for artificial intelligence in aviation industry across Asia Pacific over the coming decade.
Report Scope :
Report Attributes | Report Details |
---|---|
Report Name | Artificial Intelligence In Aviation Market Size Report |
Market Size in 2019 | USD 120.1 Million |
Market Forecast in 2026 | USD 2,357.5 Million |
Growth Rate | CAGR of 47% |
Number of Pages | 188 |
Forecast Units | Value (USD Billion), and Volume (Units) |
Key Companies Covered | Intel Corporation, NVIDIA Corporation, IBM Corporation, Micron Technology, Inc., Samsung, Xilinx, Inc., Amazon.com, Inc., Microsoft Corporation, Airbus SE, The Boeing Company, General Electric Company, Thales Group, Lockheed Martin Corporation, and Garmin Ltd. |
Segments Covered | By Technology, By Application, and By Region |
Base Year | 2020 |
Historical Year | 2015 to 2018 |
Forecast Year | 2019 - 2026 |
Customization Scope | Avail customized purchase options to meet your exact research needs. Request For Customization |
Key players profiled in the study are:
By Application:
By Technology:
By Region
FrequentlyAsked Questions
The expansion of artificial intelligence in aviation industry over the assessment period is owing to use of big data in aviation sector. In addition to this, rise in the terrorist attacks & bombing have resulted in monitoring of bags of travellers and this will further steer the market trends. Apparently, need for passenger identification, recognizing identity thefts, and improving the efficiency of aircraft operations will proliferate the size of artificial intelligence in aviation market over the upcoming years. Furthermore, large-scale funding of AI systems will prompt the demand for artificial intelligence in aviation industry over the assessment period.
Moreover, AI-driven virtual assistants help the airline firms enhance the efficacy of pilots through reduction of monotonous tasks, accurately providing weather forecasts, and providing information about the location of aircrafts to the travellers on board. All these aforementioned aspects will steer the surge of artificial intelligence in aviation market over the predicted timeframe. AI also helps in improving customer services and this will further add to market profitability in the near future.
According to Zion Market Research report, the global Artificial Intelligence In Aviation market, which was estimated at about 120.1 (USD Million) in 2019 and is predicted to accrue earnings worth 2,357.5 (USD Million) by 2026, is set to record a CAGR of nearly over 47% during 2020-2026.
Asia Pacific is likely to make noteworthy contributions towards overall market revenue. The growth of the industry in the sub-continent over the estimated timespan is attributed to rise in the use of machine learning as well as NLP technologies in aviation industry. Additionally, massive use of AI systems in the countries like China, Singapore, South Korea, Taiwan, and Japan will create lucrative growth opportunities for artificial intelligence in aviation industry across Asia Pacific over the coming decade.
The key players profiled in the report include are Intel Corporation, NVIDIA Corporation, IBM Corporation, Micron Technology, Inc., Samsung, Xilinx, Inc., Amazon.com, Inc., Microsoft Corporation, Airbus SE, The Boeing Company, General Electric Company, Thales Group, Lockheed Martin Corporation, and Garmin Ltd.
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