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Global Neuromorphic Computing Market is to witness 50.3% CAGR between 2020-2028 - Market Insights, analysis, trends, and forecast - Sheer Analytics and Insights. POST-COVID
Published : Sun Jul 26 2020
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According to a new market research report published by sheer analytics and insights, The Global Neuromorphic Computing Market will grow at 50.3% CAGR from 2020 to 2028, as per the latest market research report titled Global Neuromorphic Computing Market (By Offerings - Hardware, and Software. By Application - Signal Processing, Data Processing, Image Processing, Object Detection, and Others. By End-User - Consumer Electronics, Automotive, Healthcare, Military & Defense, and Others. By Geography - North America, Europe, Asia Pacific, Latin America, the Middle East, and Africa) – Global industry analysis, size, share, growth, trends, and forecast, 2020-2028.

Neuromorphic computing is referred to as the use of large incorporation of systems comprising numerous analog circuits enabling the duplication of neuro-biological performances existing in a human’s nervous system. The neuromorphic computing system comprised of two dynamic systems based on customized hardware architecture. Such systems are constructed to program neural microcircuits by applying brain-like thought processes in cognitive computing and the machine learning process. This procedure empowers a machine to learn, adapt, and function like a human brain rather than just working as a simple computer. The Neuromorphic Computing Market is majorly driven by increasing demand for artificial intelligence and brain chips used in cognitive and brain robots. These robots have the capability to respond like a human brain. Numerous advanced embedded system providers are developing these brain chips with the help of the advancement of artificial intelligence (AI) and machine learning (ML) that acts as thinks and responds as the human brain. This increased demand for Neuromorphic chips and software for signal, data, and image processing in automotive, electronics, and the robotics verticals is projected to further fuel the market. The need for better performing ICs and rising demand for neuromorphic computing in video monitoring, machine vision, and voice identification is also projected to further accelerate the market growth over the forecast period. However, the absence of R&D and significant Investments for the development of Neuromorphic technology is restricting market growth to some extent. Apart from this, emerging applications pertaining to automation across multiple industry verticals projected to offer a lucrative opportunity for market growth during the forecast period from 2020 to 2028.

Geographically, The Neuromorphic Computing Market is divided into global regions like Europe, North America, Asia- Pacific, Latin America, Middle East, and Africa.   

The primary key players in the Neuromorphic Computing Market include Hewlett-Packard, Samsung Electronics Co. Ltd., Intel Corporation, HRL Laboratories, Vicarious FPC, Inc., Numenta, Inc., CEA-Leti, IBM Corporation, Qualcomm Technologies Inc., BrainChip Holdings Ltd, General Vision Inc., Knowm Inc., and Applied Brain Research Inc.

The Global Neuromorphic Computing Market Has Been Segmented Into:

Global Neuromorphic Computing Market: By Offerings

  • Hardware
  • Software

Global Neuromorphic Computing Market: By Application

  • Signal Processing
  • Data Processing
  • Image Processing
  • Object Detection
  • Others

Global Neuromorphic Computing Market: By End-User

  • Consumer Electronics
  • Automotive
  • Healthcare
  • Military & Defense
  • Others

Global Neuromorphic Computing Market: By Region

  • North America
    • USA
    • Canada
    • Mexico
    • Rest of North America
  • Europe
    • UK
    • Germany
    • France
    • Spain
    • Italy
    • Russia
    • Rest of Europe
  • Asia Pacific
    • India
    • China
    • Japan
    • Australia
    • Rest of Asia Pacific
  • Latin America, Middle East & Africa
    • Brazil
    • South Africa
    • UAE
    • Rest of LAMEA


 

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Neuromorphic is the advance form of artificial intelligence. AI performs lot of task which a human can do. But cognitive ability task is still performed best by human brain. Companies and research institutes are working in full swing towards the success of next generation AI.
-Consultant, Intel
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