AI Applications In Aviation Market - Key Players Analysis and Opportunity Assessment by 2023
Global AI in Aviation Market Overview:
Rising demand for automation in different industrial sectors and rapid advancements are influencing the development of artificial intelligence technology and widening its scope of application. The report published by Market Research Future (MRFR) has stated that the global AI in aviation market is likely to showcase a whopping CAGR of 46.83%, garnering a revenue of 1014.81 million by 2023. A rise in the demand for process optimization and performance improvement through machine learning using big data in the aviation industry is augmenting the AI in aviation market.
Market Segmentation:
The global AI in aviation market is segmented on the basis of equipment, type, technology, and application. On the basis of type, the AI in aviation market is segmented into hardware, software, and services. The hardware segment is further segmented into processors, network, and memory. The software segment is further sub-segmented into AI platform and AI solution. The services segment is further sub-segmented into integration & development and support & maintenance. The software segment is anticipated to command over the biggest market share in the AI in aviation market.
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Based in equipment, the AI in aviation market is segmented into autocollimator, measuring microscope, optical digitizers & scanners (ODS), coordinate measuring machine (CMM), profile projector, and vision measuring machine (VMM). The coordinate measuring machine (CMM) segment is projected to garner the largest market share in the global AI in aviation market.
Based on technology, the AI in aviation market is segmented into machine learning, context awareness computing, natural language processing, and computer vision. The machine learning segment is further sub-segmented into deep learning, supervised learning, semi-supervised learning, unsupervised learning, and reinforcement learning. The machine learning segment is expected to hold the largest share in the AI in aviation market during the forecast period.
Based on application, the AI in aviation market is segmented into virtual assistance, surveillance, smart logistics, flight operations, training, smart maintenance, dynamic pricing, and manufacturing. The manufacturing segment is further sub-segmented into material movement, production planning, inspection & predictive maintenance, quality control, and waste reclamation. The virtual assistance segment is showcased to hold the prime market share in the AI in aviation market through the forecast period.
Detailed Regional Analysis:
The global AI Applications In Aviation Market is regionally segmented into Europe, Asia Pacific, North America, and Rest of the World. North America is anticipated to spearhead the global AI in aviation market, owing to the rapid expansion of the aviation industry in the region. Further, easier adoption of technology due to the presence of advanced infrastructure is also contributing to the growth of the market through the review period. Also, current developments in artificial intelligence technology in North America are mushrooming the development and deployment of AI in the aviation industry.
Europe is projected to witness an ascension in the growth curve of the global AI in aviation market due to increasing investments in the research and development in artificial intelligence technology in the region. Whereas, the AI in aviation market in Asia Pacific is expected to garner the fastest growth because of the increased investment for the development of the aviation industry. Lack of penetration of advanced technology and poor economic conditions are likely to pose as hindrances in the AI in the aviation market in the Middle East and Africa.
Key Players:
The global AI in aviation market boasts a presence of many prominent players including Intel Corporation, Garmin Ltd., IBM Corporation, IRIS Automation, Airbus SE, Boeing, General Electric, Samsung Electronics, Amazon, Microsoft Corporation, NVIDIA Corporation, Neurala Inc., Micron Technology, Xilinx, Thales S.A., Lockheed Martin Corporation, Northrop Grumman Corporation, Pilot AI Labs, Innovative Binaries, Cognitive Code and Searidge Technologies.
Industry Update:
April 2019: Ramco Systems, a global aviation software provider, announced that it would provide digitization of the maintenance and engineering operations of Caverton Helicopters, a leading aviation vendor based in Nigeria.
Browse More Details on Report at: https://www.marketresearchfuture.com/reports/ai-in-aviation-market-6669
About Market Research Future:
At Market Research Future (MRFR), we enable our customers to unravel the complexity of various industries through our Cooked Research Report (CRR), Half-Cooked Research Reports (HCRR), Raw Research Reports (3R), Continuous-Feed Research (CFR), and Market Research & Consulting Services.
MRFR team have supreme objective to provide the optimum quality market research and intelligence services to our clients.
Contact:
+1 646 845 9312
Email: sales@marketresearchfuture.com
Rising demand for automation in different industrial sectors and rapid advancements are influencing the development of artificial intelligence technology and widening its scope of application. The report published by Market Research Future (MRFR) has stated that the global AI in aviation market is likely to showcase a whopping CAGR of 46.83%, garnering a revenue of 1014.81 million by 2023. A rise in the demand for process optimization and performance improvement through machine learning using big data in the aviation industry is augmenting the AI in aviation market.
Market Segmentation:
The global AI in aviation market is segmented on the basis of equipment, type, technology, and application. On the basis of type, the AI in aviation market is segmented into hardware, software, and services. The hardware segment is further segmented into processors, network, and memory. The software segment is further sub-segmented into AI platform and AI solution. The services segment is further sub-segmented into integration & development and support & maintenance. The software segment is anticipated to command over the biggest market share in the AI in aviation market.
Get Free Sample at: https://www.marketresearchfuture.com/sample_request/6669
Based in equipment, the AI in aviation market is segmented into autocollimator, measuring microscope, optical digitizers & scanners (ODS), coordinate measuring machine (CMM), profile projector, and vision measuring machine (VMM). The coordinate measuring machine (CMM) segment is projected to garner the largest market share in the global AI in aviation market.
Based on technology, the AI in aviation market is segmented into machine learning, context awareness computing, natural language processing, and computer vision. The machine learning segment is further sub-segmented into deep learning, supervised learning, semi-supervised learning, unsupervised learning, and reinforcement learning. The machine learning segment is expected to hold the largest share in the AI in aviation market during the forecast period.
Based on application, the AI in aviation market is segmented into virtual assistance, surveillance, smart logistics, flight operations, training, smart maintenance, dynamic pricing, and manufacturing. The manufacturing segment is further sub-segmented into material movement, production planning, inspection & predictive maintenance, quality control, and waste reclamation. The virtual assistance segment is showcased to hold the prime market share in the AI in aviation market through the forecast period.
Detailed Regional Analysis:
The global AI Applications In Aviation Market is regionally segmented into Europe, Asia Pacific, North America, and Rest of the World. North America is anticipated to spearhead the global AI in aviation market, owing to the rapid expansion of the aviation industry in the region. Further, easier adoption of technology due to the presence of advanced infrastructure is also contributing to the growth of the market through the review period. Also, current developments in artificial intelligence technology in North America are mushrooming the development and deployment of AI in the aviation industry.
Europe is projected to witness an ascension in the growth curve of the global AI in aviation market due to increasing investments in the research and development in artificial intelligence technology in the region. Whereas, the AI in aviation market in Asia Pacific is expected to garner the fastest growth because of the increased investment for the development of the aviation industry. Lack of penetration of advanced technology and poor economic conditions are likely to pose as hindrances in the AI in the aviation market in the Middle East and Africa.
Key Players:
The global AI in aviation market boasts a presence of many prominent players including Intel Corporation, Garmin Ltd., IBM Corporation, IRIS Automation, Airbus SE, Boeing, General Electric, Samsung Electronics, Amazon, Microsoft Corporation, NVIDIA Corporation, Neurala Inc., Micron Technology, Xilinx, Thales S.A., Lockheed Martin Corporation, Northrop Grumman Corporation, Pilot AI Labs, Innovative Binaries, Cognitive Code and Searidge Technologies.
Industry Update:
April 2019: Ramco Systems, a global aviation software provider, announced that it would provide digitization of the maintenance and engineering operations of Caverton Helicopters, a leading aviation vendor based in Nigeria.
Browse More Details on Report at: https://www.marketresearchfuture.com/reports/ai-in-aviation-market-6669
About Market Research Future:
At Market Research Future (MRFR), we enable our customers to unravel the complexity of various industries through our Cooked Research Report (CRR), Half-Cooked Research Reports (HCRR), Raw Research Reports (3R), Continuous-Feed Research (CFR), and Market Research & Consulting Services.
MRFR team have supreme objective to provide the optimum quality market research and intelligence services to our clients.
Contact:
+1 646 845 9312
Email: sales@marketresearchfuture.com
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