Neuromorphic Processing Market to Hit USD 11.29 | Market Size, Share, Trends, Analysis and Forecast 2027
June 24, 2022
The growth of the market is attributed to the requirement of better performing ICs and increase in demand for AI and machine learning
The primary factors driving the growth of the market include expansion within the sensors market; increasing demand for AI and machine learning; faster adoption of software in applications like continuous online learning, predictive analysis, real-time data streaming and data modelling; requirement for efficient ICs; accelerating demand for neuromorphic processing in applications like machine vision, video monitoring and voice identification.
The main advantage of neuromorphic chips is that they can process the knowledge faster than the regular processors, which helps the defense industry in processing battlefield data, including resource and weapon management. The growing requirement for testing and transmitting signals in this industry is mainly driving the expansion of the neuromorphic computing marketplace for the aerospace and defense industry.
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The Global Neuromorphic Processing Market is highly consolidated due to the presence of a large number of companies across this industry. The report discusses the current market standing of these companies, their past performances, demand and supply graph, production and consumption patterns, sales network, distribution channels, and growth opportunities in the market at length. The report scrutinizes the strategic approach of key market players towards expanding their product offerings and fortifying their market foothold.
Key participants include IBM Corp., HP Corp., Samsung Electronics Ltd., Intel Corp., HRL Laboratories, LLC, General Vision Inc., Applied Brain Research, BrainChip Holdings Ltd. and General Vision Inc. among others.
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Key Findings from the Report Suggest:
n July 2019, an 8 million-neuron neuromorphic system named Pohoiki Beach was launched by Intel Corporation. It has 64 Loihi research chips developed for the research community. Pohoiki Beach allows the researchers to experiment with brain-inspired research chip, Loihi in order to rescale the neural-inspired algorithms that comprises of sparse coding, path planning and simultaneous localization and mapping (SLAM).
The signal recognition technology is being utilized across a wide range of applications, due to the rigorous advancements in computing power leading to the widespread adoption of mobile and cloud-based engineering, which makes it the fastest growing application for neuromorphic computing.
Black lead which is expandable in nature is the most preferred flame agent. This is because any business considers this as an environmentally friendly answer to the matter.
Emergen Research has segmented into the global Neuromorphic Processing Market on the applications, end user and region:
Applications Outlook (Revenue, USD Billion; 2017-2027)
End User Outlook (Revenue, USD Billion; 2017-2027)
Military and Defense
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North America (U.S., Canada)
Latin America (Chile, Brazil, Argentina, Rest of Latin America)
Europe (U.K., Italy, Germany, France, Rest of EU)
Asia Pacific (India, Japan, China, South Korea, Australia, Rest of APAC)
Middle East & Africa (Saudi Arabia, the U.A.E., South Africa, Rest of MEA)
Highlights of Table of Contents (TOC):
Overview of Global Neuromorphic Processing Market
Competitive analysis of the Neuromorphic Processing market
Regional analysis of Global Neuromorphic Processing market production and revenue
Regional analysis of Global Neuromorphic Processing market supply, consumption, and export & import
Type-based market analysis of global Neuromorphic Processing production, revenue, and price trends
Application-based analysis of the global Neuromorphic Processing market
Manufacturer profiles, manufacturing cost, and upstream and downstream analysis of global Neuromorphic Processing market
Global Neuromorphic Processing market forecast (2020-2027)
Conclusion of the research report
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Neuromorphic Processing Market