Neuromorphic Engineering Market 2021 Overview, Drivers, Restraints, Opportunities, Growth Factors, Demand and Top Key Players| Intel Corp. (US), IBM Corporation, BrainChip Holdings Ltd., Qualcomm, HP Enterprise

The Neuromorphic Engineering Market is expected to register a CAGR of 10 % during the forecast period.

The report on Neuromorphic Engineering market is a comprehensive study and presentation of drivers, restraints, opportunities, demand factors, market size, forecasts, and trends in the global Neuromorphic Engineering market over the period of 2021 to 2028. Moreover, the report is a collective presentation of primary and secondary research findings.

Growing technological advancements in artificial intelligence technology and the increasing popularity of the neural network, machine learning, and deep learning technology is impelling the growth of the market. Growing requirements for improved neuromorphic integrated circuit chips, rising neuromorphic applications in automation, rapid adoption of neuromorphic computing technology for security purposes, increasing demand of neuromorphic computers, and increased development of cognitive applications are expected to improve the growth of the market during the forecast period.

Some of the key players operating in the Neuromorphic Engineering market are Intel Corp. (US), IBM Corporation (US), BrainChip Holdings Ltd. (US), Qualcomm (US), HP Enterprise (US), Samsung Electronics Ltd. (South Korea), HRL Laboratories, LLC (US), General Vision Inc. Innatera, MemComputing, INSTAR Robotics

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Neuromorphic engineering, also known as neuromorphic computing is the use of very-large-scale integration (VLSI) systems containing electronic analog circuits to mimic neuro-biological architectures present in the nervous system. A neuromorphic computer/chip is any device that uses physical artificial neurons to do computations. In recent times, the term neuromorphic has been used to describe analog, digital, mixed-mode analog/digital VLSI, and software systems that implement models of neural systems the implementation of neuromorphic computing on the hardware level can be realized by oxide-based memristors, spintronic memories, threshold switches

Scope of the Report

Neuromorphic Engineering is a new emerging interdisciplinary field which takes inspiration from biology, physics, mathematics, computer science and engineering to design hardware/physical models of neural and sensory systems.

Neuromorphic engineering is thus mainly concerned with hardware correlates of biological systems. The nature of the research carried out by neuromorphic engineers is twofold on one side there is the desire to learn more about the computational properties of the brain by tackling the same problems that nature and evolution solved in the course of 600 million years, on the other there is the desire to design and develop efficient neuromorphic engineered systems that can be used to solve real world problems and that can eventually lead to successful industrial applications.

Neuromorphic engineering is a recent interdisciplinary field involving biologists, physicists, mathematicians, computer scientists, and engineers to design hardware/physical models of neural systems. It aims at designing silicon-based neural systems for computational or biomedical purposes. The term “neuromorphic” relates to the computational architecture, shaped to model biological neural systems: neuromorphic engineering is by essence strongly linked to computational neuroscience.

The report is mainly segmented into several key regions, with sales, revenue, market share, and growth rate in these regions, covering:

North America (United States, Canada and Mexico)
Europe (Germany, France, United Kingdom, Russia, Italy, and Rest of Europe)
Asia-Pacific (China, Japan, Korea, India, Southeast Asia, and Australia)
South America (Brazil, Argentina, Colombia, and Rest of South America)
Middle East & Africa (Saudi Arabia, UAE, Egypt, South Africa, and Rest of Middle East & Africa)

Table of Contents: -

1. Global Neuromorphic Engineering Market Overview
2. Global Neuromorphic Engineering Market Competitions by Manufacturers
3. Global Neuromorphic Engineering Capacities, Production, Revenue (Value) by Region
4. Global Neuromorphic Engineering Supply (Production), Consumption, Export, Import by Region
5. Global Neuromorphic Engineering Productions, Revenue (Value), Price Trend by Type
6. Global Neuromorphic Engineering Market Analyses by Application
7. Global Neuromorphic Engineering Manufacturers Profiles/Analysis
8. Neuromorphic Engineering Manufacturing Cost Analysis
9. Industrial Chain, Sourcing Strategy and Downstream Buyers
10. Marketing Strategy Analyses, Distributors/Traders
11. Market Effect Factors Analysis
12. Global Neuromorphic Engineering Market Forecast
13. Research Findings and Conclusion
14. Appendixes

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