Self-Learning Neuromorphic Chip market - PowerPoint PPT Presentation

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Self-Learning Neuromorphic Chip market

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Self-Learning Neuromorphic Chip market by Application (Image Recognition, Signal Recognition, Data Mining), by Vertical (Healthcare, Power & Energy, Automotive, Media & Entertainment, Aerospace & Defense, Smartphones, Consumer Electronics, Others) – Forecast 2023 – PowerPoint PPT presentation

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Title: Self-Learning Neuromorphic Chip market


1
Self-Learning Neuromorphic Chip Market
Market Report-Forecast 2023
Self-Learning Neuromorphic Chip Market Report-
Forecast 2023
P a g e 1 Copyright
2017 Market Research Future.
2
Self-Learning Neuromorphic Chip Market Report-
Forecast 2023
VIEW REPORTS
SAMPLE REPORTS
3
Self-Learning Neuromorphic Chip Market Report-
Forecast 2023 Summary IBM a prominent player in
neuromorphic chip market has designed a brain
like neuromorphic chip. The chip functions
better at image recognition, it is able to
accurately classify data much more efficiently,
from an energy perspective as compare to
traditional processor architectures. The chip can
be used in new applications such as mobile
computing, IoT, robotics, autonomous cars, and
HPC. Qualcomm a key and up-coming player in
neuromorphic chip market. It has designed a
Zeroth neuromorphic chip program. The company
focuses on signing up researchers this year to
test its latest technology. HRL Laboratories,
LLC, announced that it will continue to develop
innovative electronics products and solutions
that simulate the cognitive capabilities of
biological intelligence in the Defense Advanced
Research Projects Agencys (DARPA) Systems of
Neuromorphic Adaptive Plastic Scalable
Electronics, or SyNAPSE program. The company has
also shared their views on up-coming
neuromorphic technology. It stated that
researchers in the company developed brain- like
microcircuitry in hardware and also manufactures
very low-power neuron CMOS circuits, that became
the foundation for large-scale neuromorphic
circuits.
4
  • Self-Learning Neuromorphic Chip Market Report-
    Forecast 2023
  • Major Key Players
  • IBM (U.S.)
  • Qualcomm (U.S.)
  • HRL Laboratories (U.S.)
  • General Vision (U.S.)
  • Numenta (U.S.)
  • Hewlett-Packard (U.S.)
  • Samsung Group (South Korea)
  • Intel Corporation (U.S.)
  • Applied Brain Research Inc. (U.S.)
  • Brainchip Holdings Ltd. (U.S.).

5
Self-Learning Neuromorphic Chip Market Report-
Forecast 2023
  • Segmentation
  • Self-Learning Neuromorphic Chip market is
    segmented on the basis of application and
    vertical.
  • Self-Learning Neuromorphic Chip Market by
    Application
  • Image Recognition
  • Signal Recognition
  • Data Mining
  • Self-Learning Neuromorphic Chip Market by
    Vertical
  • Healthcare
  • Power Energy
  • Automotive
  • Media Entertainment
  • Aerospace Defense
  • Smartphones
  • Consumer Electronics
  • Others

6
Self-Learning Neuromorphic Chip Market Report-
Forecast 2023
Regional Analysis Regional analysis for
self-learning neuromorphic chip market is studied
in different geographic regions such as North
America, Europe, Asia-Pacific and Rest of World.
North America region is the prominent player in
the self-learning neuromorphic chip market due
to advanced technological implementation in
hardware system. Owing to the presence of major
market players, large market of image recognition
and implementation of self-learning neuromorphic
chip in numerous application such as wearables,
consumer electronics, medical, aerospace and
others is driving the market. European region is
growing with a slow pace in the self-learning
neuromorphic chip market. Asia-Pacific region is
expected to be fastest growing region in the
self-learning neuromorphic chip market owing to
advanced infrastructure development from
countries such as China and India that is
boosting the market growth. Increasing
urbanization, business expansion across and
industrial developments is driving the growth of
self-learning neuromorphic chip market in the
region.
7
Self-Learning Neuromorphic Chip Market Report-
Forecast 2023
(Germany) are focusing on
the digital utilities transformation. P a g e
7 Copyright 2017 Market Research Future.
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