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Neuromorphic Computing Systems Market By Application (Image Recognition And Processing, Signal Recognition And Processing, Data Processing, Object Recognition), By Industry Vertical (Consumer Electronics, Aerospace And Defense, Healthcare, It And Telecom, Automotive, Other) - Growth, Future Prospects, And Competitive Landscape, 2018 - 2026

Neuromorphic computing systems is a computing technique which works on the principle of human brain neurons having the capability to solve cognitive problems. This biologically inspired computer can understand and learn new directives similar to a human brain and therefore can be used to tackle challenging issues such as machine learning and artificial intelligence (AI). In addition, neuromorphic computers offer faster computing capabilities with relatively lower power consumption and compact hardwar compared to traditional computing methods. Currently, neuromorphic computing systems are being extensively used for applications such as image recognition and processing, signal recognition and processing, data processing and object recognition, among others. Neuromorphic computing systems have been adopted by several end-use industries such as consumer electronics, aerospace and defense, healthcare, automotive and industrial automation, among others for efficient computing solutions.

IT giants including International Business Machines (IBM) Corporation, Intel Corporation, Qualcomm, Inc. and Samsung Electronics Co. Ltd., among others have been working towards developing neuromorphic computing systems. Numerous other companies have also been engaged in creating sophisticated computing systems for real-world and simulation applications. Aerospace and defense industry has started to incorporate neuromorphic computing in order to develop new age command and control systems. In addition, practice of neuromorphic computing for improving healthcare facilities and monitoring medical conditions have also resulted in significant growth in the overall neuromorphic computing systems market.

Neuromorphic Computing Systems Market

In addition, the market report for neuromorphic computing systems further include in-depth analysis of current and future market traits, attractive market backed by real time statistical data and market dynamics such as drivers, challenges and their proportional impact on the overall market growth. The validation of market estimation is buttressed with two year historical data and comprehensive competitive analysis of leading neuromorphic system developers. Therefore, the report will provide an overall 360° outlook for current market and future estimations for the period from 2018 to 2026.

The global neuromorphic computing systems market is segmented, based on application, into following categories:

  • Image Recognition and Processing
  • Signal Recognition and Processing
  • Data Processing
  • Object Recognition

Neuromorphic Computing Systems Market

In 2017, image recognition and processing dominated the overall neuromorphic computing systems in terms of market value. Neuromorphic computing has been widely used in image recognition and processing applications. Image recognition and processing is the most common and widely used application for the neuromorphic computing. Rising demand for digital camera and image processing for various end-use verticals such as military and defense, machine vision and healthcare have bolstered the demand for advanced image recognition and processing. In addition, use of high-resolution cameras in mobile devices and image recognition coupled with advanced artificial intelligence have been encouraging the adoption of neuromorphic computing in consumer electronics. Thereby, along with significant growth in image acquisition hardware, the neuromorphic computing systems market for image recognition and processing application is also expected to exhibit considerable growth in the following years.

Other neuromorphic computing system applications including signal recognition and processing, data processing and object detection have been contributing significantly in the overall neuromorphic computing systems market. The industrial end-use vertical has been incorporating object recognition for application such as machine learning and robotics. Furthermore, signal recognition and processing has played a vital role in aerospace and defense, and IT and Telecom industry. Therefore, signal recognition and processing, data processing and object recognition applications are expected to witness strong growth along with the growth in aforementioned end-use verticals in the following years.

The global neuromorphic computing systems market has been segmented, on the basis of geographical regions, into the following regions and countries:

  • North America
    • U.S.
    • Rest of North America
  • Europe
    • U.K.
    • Germany
    • France
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Rest of Asia Pacific
  • Rest of the World (RoW)
    • The Middle East and Africa
    • Latin America

Neuromorphic Computing Systems Market

In 2017, North America attributed to the largest market value share in the global neuromorphic computing system in terms of market value. The region is mainly backed by the U.S. which has a strong presence of neuromorphic computing system companies. Owing to consistently flourishing industry verticals such as aerospace and defense, robotics technology, consumer electronics and artificial intelligence (AI), the demand for advanced neuromorphic computing systems has been witnessing significant growth in the past few years. In addition, consumer acceptance for new technologies has further encouraged the development of neuromorphic computing system in this region. Thereby, North America is expected to dominate the overall neuromorphic computing systems market throughout the forecast period.

Europe trailed North America in the overall neuromorphic computing systems market in terms of market value. Numerous European countries have recognized the importance of neuromorphic computing system for a variety of industrial applications including machine vision, Chabot and artificial intelligence (AI). In addition, industry verticals such as consumer goods, automotive and healthcare, among others have started to incorporate neuromorphic computing system in this region. The region is expected to offer high demand for neuromorphic computing systems in the following years.

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Published Date:  Jan 2018
Category:  IT & Telecom
Report ID:   58962
Report Format:   PDF
Pages:   120
Rating:    4.1 (32)
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