The
traditional computing technology is struggling to keep up with the enormous
amount of data processing capabilities and the bandwidth expectations. This has
led to a need for a better computing technology being sought after by many
industries. The Neuromorphic Chips
can provide and stand up to these expectations, originally the brainchild of
Carver Mead, the neuromorphic chips work on the basic idea of neural networks
of brain and the tremendous data crunching capabilities it brings with it. The
Neuromorphic technology has found its use in data analytics and machine
learning and holds the promise of unsupervised machine learning. The fundamental
functioning of neuromorphic chips depends on the pattern recognition and
pattern learning to create the artificial neural networks and ultimately
artificial intelligence.
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The
neuromorphic chips are a much sought after product due to its huge potential in
limiting the computing restraints. The big data players like Facebook and
Google are already handling these needs with similar traditional computers and
chips. With the ever rising data processing needs, this market may rise
eventually to take over the traditional platforms. Even today the chip market
appears to be taking pace with some vendors shipping neuromorphic chips,
whereas some are still struggling to do so.
The
neuromorphic chip market is expected to increase in its worth at very fast
rate with the commercialization of the chips in the consumer markets. The
current bottleneck that appears to withhold the potential of these chips may
hinder its progress in wide scale use for some forthcoming years.
Based on the
functions that it caters to, the market of neuromorphic chips can be classified
into signal processing, data mining, image processing and others. Of these the
signal processing and the data mining application segment hold the largest
dominion in the market due to its widespread applications such as in the
defense, aerospace and industrial sector as well as the data analytics sector
respectively. Yet it is expected that the signal processing application sector
may grow at the highest rate amongst them as it find new usage and applications
in various every day.
The
segmentation of the neuromorphic chips on the basis of its applications
provides us with aerospace, automotive, defense, medical and other sectors. The
aerospace defense and military industries are expected to grow in upcoming
years, but the consumer industry may still be the largest shareholder of the
market. The adoption neuromorphic chips by many other industries and sectors
may also increase in foreseeable future.
On the basis
of basis of region the neuromorphic chip market can be divided into seven major
zones, namely, North America, Asia Pacific, Europe, Middle East and Africa and
Latin America. Of these the North America region holds the largest share of
market fueled by the defense and aerospace industry requirements followed by
the Asia Pacific region. The future demands of neuromorphic chips maybe fueled
by Internet of Things and hence the Asia Pacific region holds a great promise
for the market growth. Country wise, the United States, China, Germany and
South Korea are expected to be the major markets and also may witness large
amount of compound growth.
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Some of the
key players in the neuromorphic market are, Intel Corp. (U.S.), International
Business Machine Corporation (U.S), Qualcomm Inc.(U.S), Hewlett Packard
Corp.(U.S), Lockheed Martin Corporation (U.S), General Vision Inc.(U.S), Brain
Corporation (U.S), HRL Laboratories LLC (U.S), Vicarious FPC Inc.(U.S) among
others.
The leading
organizations in the market have adopted various strategies to gain ground in
this race and gain a competetive advantage like, partnerships, mergers and
acquisitions, new product launches.
IBM has come
up with a product named TrueNorth with a million strong neurons and 4096 core
processors in the year 2016, that simulates the way a brain functions and is
one of its kind.
General Vision
has licensed its Intellectual property rights to Intel Inc. for the production
of its Curie Module. It features a 32-bit Quark processor with General Vision’s
pattern matching intellectual property. This may bring out neuromorphic chips
in broader markets like fitness trackers and other wearables.
Qualcomm Inc.
is developing its Zeroth platform, a cognitive computing and machine learning
platform. This platform being developed from 2014 has already enabled the
making of Snapdragon 820, the ultimate GPU with Kryo core architecture that may
increase performance higher than 40% and is awaited commercialization.
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