Market Overview
Neuromorphic computing models the way the brain works through spiking neural networks. Neuromorphic computing is expected to completely transform the technology industry from programming languages to hardware. Conventional computing is based on transistors that are either on or off, one or zero.
Spiking neural networks can convey information in both the same temporal and spatial way as the brain can and so produce more than one of two outputs. Neuromorphic systems can be either digital or analogue, with the part of synapses played by either software or mersisters.
Segmented Analysis
According to Market Research Future, the global neuromorphic Chip Market has been segmented based on application, vertical, and region.
By application, the market has been segmented into image recognition, signal recognition, data mining.
By vertical, the market has been segmented into aerospace & defence, IT & telecom, automotive, medical, industrial, others. Among these, the aerospace & defence segment is expected to dominate the market and is expected to dominate the market growth.
On the other hand, the medical segment is expected to witness fastest growth over the forecast period. Adoption of artificial intelligence in diagnosing, monitoring, and operating patients has propelled the growth of the global market.
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By region, the market has been segmented into North America, Europe, Asia-Pacific, and the rest of the world. The North American region has dominated the global market in 2020 and is expected to maintain its dominance throughout the forecast period. Increasing demand for artificial intelligence and machine learning coupled with the need for better performing ICsis expected to propel the market growth in this region. On the flip side, Asia-Pacific is expected to witness the fastest growth over the forecast period. Adoption of neuromorphic computing for security purposes is one of the major factors fuelling the market growth.
Key Players
Some of the prominent players in the neuromorphic chip market are Hewlett Packard Enterprise, Samsung Electronics Limited, Intel Corp., HRL Laboratories, LLC, General Vision Inc., Applied Brain Research, Inc., Brainchip Holdings Ltd., aiCTX AG, Qualcomm, IBM, Nepes Corp., Innatera, MemComputing, INSTAR Robotics, Ceryx Medical, and Koniku, among others.
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Table of Contents
1 Executive Summary
2 Scope of The Report
2.1 Market Definition
2.2 Scope of The Study
2.2.1 Research Objectives
2.2.2 Assumptions & Limitations
2.3 Market Structure
Continued…
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