Press release
USD 225 Million by 2023 Expected growth for Neuromorphic Computing Market Including Key Players: IBM Corp, Hewlett Packard Enterprise, Samsung Group, Intel Corp. HRL Laboratories
MarketResearchFuture Publish a New Market Research Report On –“ Neuromorphic Computing 2018 : Discovers the Opportunities, Trends, Risk, Simulation, Management to 2023”.Description:
Neuromorphic Computing -Global Market Status and Trend Report 2018-2023 offers a comprehensive analysis on Neuromorphic Computing industry, standing on the readers’ perspective, delivering detailed market data and penetrating insights. No matter the client is industry insider, potential entrant or investor, the report will provides useful data and information.
Neuromorphic engineering is an emerging interdisciplinary field that involves designing sophisticated devices based on complex neural circuits of the brain. It uses principles of the nervous system for engineering applications to achieve a better understanding of computations occurring in actual biological circuits and utilize their unique properties of to design and implement efficient engineering products.
The main factors, which has driven research and development of neuromorphic chips, are tremendous demand for data and data analytics, miniaturization of sensors, ingress of Artificial Intelligence into software of almost all intelligent machines and high cost of further miniaturization of integrated circuits.
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Key Players
Some of the key players in the market are IBM Corp. (U.S.), Hewlett Packard Enterprise (U.S.), Samsung Group (South Korea), Intel Corp. (U.S.), HRL Laboratories, LLC (U.S.), General Vision Inc. (U.S.), Applied Brain Research Inc. (U.S.), and BrainChip Holdings Ltd. (U.S.) among others.
The Global Neuromorphic Computing Market is expected to reach USD 225 Million by 2023
Segmentation
The market for neuromorphic computing market is segmented on the basis of application, offering, end-user and region. On the basis of offering, the segment is further classified into hardware and software. Neuromorphic computing has a wide range of applications such as image recognition, signal recognition, data mining, object detection and many more. By end-user, the market can be segregated into five segments: automotive, consumer electronics, automotive, defense, and healthcare. The consumer electronics is expected to hold the largest share in terms of end-use application of neuromorphic computing. The usage of neuromorphic computing in self-driven and smart vehicles is expected to bring a transition in transportation and furthermore propel the growth of automotive sector. The usage of neuromorphic chips in satellites for surveillance and aerial imagery is highly in demand in the defense sector.
Software is expected to hold the largest share of neuromorphic computing market, based on offering. Software has applications in video monitoring, machine vision, and voice identification. Increasing adoption of software in industries such as aerospace & defense, IT & telecom, and medical is driving the growth of the neuromorphic computing software market.
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