Neuromorphic Computing Market 2018 – 2023 Top Key Players: IBM Corp, Hewlett Packard, Samsung, Intel, HRL, General Vision, Applied Brain, Brain Chip Holdings

Neuromorphic computing is expected to gain huge momentum in the coming years due to the gaining familiarity of neuromorphic computing technology and rising demand for artificial intelligence. Artificial intelligence is used as applications in language processing, computer vision & image processing, translation & chatterbots, and non-linear controls & robotics.

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

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Neuromorphic Computing Market – Overview

The interdisciplinary nature of neuromorphic computing has created a huge scope for the development of the market. Market intensive reports related to the semiconductors and electronics industry among others recently have been made available by Market Research Future which issues reports on this industry. The market is predicted to achieve USD 225 Mn in revenues over the forecast period.

The combination of biological neural networks as analogue or digital copies on electronic circuits has enabled higher growth of the market. As neuromorphic computing is much more effective and efficient than the traditional approaches, it has garnered a growing user base. Key features such as energy efficiency, robustness, and execution speed are increasing the demand for the market significantly. Several major chip makers are already producing the neuromorphic computing chip, and the rate is expected to develop significantly. Expedited efforts through the IT industry are speeding up the process to get their AI services into the hands of users, which are powered majorly by neuromorphic computing chips. However, the market that could find its growth restrained due to lack of R&D investments and knowledge about neuromorphic computing among consumers.

Industry Segments:

The segmentation of the neuromorphic computing market is carried out on the basis of offering, application, end-user and region. On the basis of the offerings, the segment comprises of hardware and software. The wide range of applications of the neuromorphic computing market includes object detection, signal recognition, image recognition, data mining and many more. The regions included in the market are Asia Pacific, Europe, North America and rest of the world. The end-user segment of the market comprises of segments such as consumer electronics, automotive, defense, automotive, and healthcare.

Detailed Regional Analysis:

The region wise segmentation of the market observes that the North America region is controlling the neuromorphic computing market globally. The nations such as the U.S., and Canada have a major share in the neuromorphic computing market globally. The key market in the North American region which contributes to the global market growth is the image recognition industry. The mounting demand for automation in nations such as China, South Korea, Brazil, and India is prompting the market growth in the Asia Pacific region. The European market is also achieving momentum due to the upsurge of opportunities for neuromorphic projects.

Global Competitive Analysis:

The key trends and players have established a positive tone for development. The competitors in the market are persistently trying to establish leading market positions through new policies and strategies. The experienced management in the companies operating in the market are creating business models which can bring about a fruitful phase of development. The competitors in the market are trying to succeed commercially by ensuring demand and supply are in balance. The contenders in the market are also leveraging their competitive advantages to secure their growth in the market. The momentum of the market’s growth has altered the competitive backdrop of the market. The market development by competitors also comprises of strong risk management.

Industry Updates:

Jan 2018 Intel has recently announced a milestone in its efforts to research and develop future computing technologies in neuromorphic computing. Intel's research into neuromorphic computing comprises of a new computing paradigm that draws inspiration from the functioning of the brain. This will aid in unlocking the exponential gains in power and performance efficiency for the future of artificial intelligence. To this end, they have developed a neuromorphic research chip, code-named "Loihi," which consist of digital circuits that impersonate the brain's basic operation. The Loihi chip combines training and inference on a single chip with the objective of making machine learning extra power efficient. Neuromorphic chips could eventually be used anywhere real world data needs to be processed in developing real-time environments. In the start of this year, Intel has planned to share the Loihi test chip with the top university and research institutions while relating it to more complex data sets and problems.

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Intended Audience

Hospitals and clinics
Research institutes
Product sales and distribution companies
Original equipment manufacturers
Original design manufacturers
Research and development companies
Market research and consulting firms
Technology standards organizations
Technology investors
System Integrators

TABLE OF CONTENTS

1 MARKET INTRODUCTION
1.1 INTRODUCTION
1.2 SCOPE OF STUDY
1.2.1 RESEARCH OBJECTIVE
1.2.2 ASSUMPTIONS
1.2.3 LIMITATIONS
1.3 MARKET STRUCTURE:
1.3.1 GLOBAL MEDICAL CONNECTOR MARKET: BY MATERIAL
1.3.2 GLOBAL MEDICAL CONNECTOR MARKET: BY CONNECTOR SIZE
1.3.3 GLOBAL MEDICAL CONNECTOR MARKET: BY REGION

2 RESEARCH METHODOLOGY
2.1 RESEARCH
2.2 PRIMARY RESEARCH
2.3 SECONDARY RESEARCH
2.4 FORECAST MODEL
3 MARKET DYNAMICS
3.1 INTRODUCTION
3.2 MARKET DRIVERS
3.3 MARKET CHALLENGES
3.4 MARKET OPPORTUNITIES
Continued…

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