Demand For Advanced AI And Simulation Systems Is Expected To Drive The Neuromorphic Computing Systems Market
According to a new market research report published by Credence Research “Neuromorphic Computing Systems Market (By Application: Image Recognition and Processing, Signal Recognition and Processing, Data Processing and Object Recognition; By Industry Verticals: Consumer Electronics, Aerospace and Defense, Healthcare, IT and Telecom, Automotive and Other Industry Verticals) - Growth, Future Prospects, and Competitive Landscape, 2018-2026”, the neuromorphic computing systems market is expected to grow at a CAGR of 34.3% during the forecast periof from 2016 to 2026.
Modern day technologies such as artificial intelligence, industrial automation and machine learning techniques for robots have up surged the demand for enhanced computing capacities. Neuromorphic computing system is one of the most prominent techniques adopted across various industry verticals in order to carry out critical computing. Neuromorphic computing is a technique for mimicking methodology behavior of human brain neurons in the form of computer chips possessing capability of learning and solving cognitive problems. These computer systems have high computing capacities and prove relatively economical in terms of power consumption when compared to other computing techniques.
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In addition, industrial automation and robotics industry have been striving towards incorporating neuromorphic computing systems in order to achieve better programming and machine learning capabilities. From a commercial point of view, neuromorphic computing systems offer almost limitless applications and are expected to witness higher adoption in the following years.
In addition, prominent players have made collaboration with leading technical universities in order to share knowledge and possible applications of neuromorphic computing systems. Major players in the neuromorphic computing systems market include Applied Brain Research, Inc., BrainChip, Inc., Brain Corporation, General Vision, Inc., HRL Laboratories, LLC, IBM Corporation, Intel Corporation, Knowm, Inc., Numenta, Inc. Qualcomm, Inc., Samsung Electronics Ltd. and Vicarious FPC, Inc.