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Self-Learning Neuromorphic Chip Market Global Trends, Key Vendors Analysis, Import & Export, Revenue by Forecast 2023

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Self-Learning Neuromorphic Chip Market Global Trends, Key Vendors Analysis, Import & Export, Revenue by Forecast 2023

November 29
10:52 2017

Self-Learning Neuromorphic Chip Market
Self-Learning Neuromorphic Chip Market, by Application (Image Recognition, Signal Recognition, Data Mining) – Forecast 2023

Market Highlights

The regional wise segmentation of self-learning neuromorphic chip market consists of North America, Europe, Asia-Pacific and Rest of the World. North America is one of the most competitive markets across the globe with various regional players and a few large international players in self-learning neuromorphic chip market.

Europe region is growing with a slow pace in hardware market. Emerging economies from countries such as Germany, UK, France, Russia, Italy, Benelux and Spain is driving Self-Learning Neuromorphic Chip Market. Moreover, Asia-Pacific is also expected to have potential growth in the forecast period due to increasing investment of major players in self-learning neuromorphic chip market.

The self-learning neuromorphic chip market is expected to grow at approximately USD 2 Billion by 2023, at 14% of CAGR between 2017 and 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.)

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Self-Learning Neuromorphic Chip Market Segmentation:

The self-learning neuromorphic chip market has been segmented on the basis of application and vertical. By application segment the signal recognition application is expected to drive the market. The signal recognition technology can be used in commercial, healthcare, consumer electronics, automotive, aerospace and defense and industries.

The advancements in image recognition technology and its application in numerous application such as portable devices, home automation, robotics and digital health is propelling the market. The chip is used in image sensor that compose of back side illumination is used in smartphones and tablet computer owing to its focus speed of 300ms or less and low lighting condition.

Market Research 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.

Segments:
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

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Intended Audience

  • Investors and consultants
  • System Integrators
  • Government Organizations
  • Research/Consultancy firms
  • Technology solution providers
  • IT Solution Providers
  • Original Equipment Manufacturers

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

2          Research Methodology

2.1       Research Type

2.2       Primary Research

2.3       Secondary Research

2.4       Forecast Model

2.4.1    Market Data Collection, Analysis & Forecast

2.4.2    Market Size Estimation

Continued….

List of Tables

Table 1self-Learning Neuromorphic Chip Market, By Application

Table 2self-Learning Neuromorphic Chip Market, By Vertical

Table 3 Self-Learning Neuromorphic Chip Market, By Region

Continued….

List of Figures

Figure 1 Research Type

Figure 2 Self-Learning Neuromorphic Chip Market: By Application (%)

Figure 3 Self-Learning Neuromorphic Chip Market: By Vertical (%)

Continued….

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