Global Neuromorphic Computing Market, Size, Share, Analysis Report & Forecast to 2026

The global neuromorphic computing market is anticipated to grow at a CAGR of around 19.5% during the forecast period (2021-2027). The shift from conventional computing architectures to data-driven, cognitive computing is the key reason that has augmented the growth of the neuromorphic computing market. Furthermore, the explosive growth of data and information has motivated technological developments in computing systems that utilize them for efficiently discovering patterns and gaining relevant insights. Neuromorphic computing can process information faster than any other processor and that makes them highly adaptable in verticals such as military & defense and aerospace, automotive, IT & telecom, industrial, and others. Neuromorphic computing uses neuromorphic chips that can greatly reduce transportation times expended by a conventional CPU by processing and storing data in the same chip. Thus, a need for better-performing ICs for efficient computing is helping the market to expand.

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The global neuromorphic computing market is anticipated to grow at a CAGR of 19.5% during the forecast period (2021-2027). The increasing demand for artificial intelligence (AI) and machine learning (ML) owing to the rising use of integrated circuits, and the growing requirement for brain robots are the prominent factors contributing high towards the growth of the market. The adoption of AI in various domains such as military & defense, automotive, consumer electronics, telecom, media, and others has completely changed the way of working. The developments in AI have been awe-inspiring. In addition, from biometric systems to large-scale data security and fraud detection to virtual assistance, AI has become an important part of various industries. The use of AI in neuromorphic computing, where an artificial brain is trained to perform like the human brain by using computing algorithms, is gaining popularity. Moreover, in neuromorphic computing the neuromorphic chips are being used which provides numerous advantages such as memory optimization, low power consumption, high speed, and others. The rising use of neuromorphic chips in neuromorphic computing owing to the increased adoption of neuromorphic computing in security systems and others is anticipated to drive the growth of the market.

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The global neuromorphic computing market is segmented based on offering, deployment, application, and vertical. Based on offering, the market is again bifurcated into hardware and software. The software segment held the largest revenue in 2020, and it is further estimated to be dominant during the forecast period. This is owing to the increasing computing software in various industries such as aerospace & defense, IT & telecom, and medical, among others. Based on deployment, the market is bifurcated into edge-cutting, and cloud-computing. Among these, the edge-cutting segment is anticipated to hold the largest revenue during the forecast period. Based on application, it is segregated into data mining, object detection, image & signal processing, and others. During the forecast period, the image & signal processing segment is expected to grow at significant CAGR due to increasing demand for audio signals. Similarly, based on vertical, the market is further categorized into aerospace and military & defense, automotive, consumer electronics, healthcare, IT & Telecom, Industrial, and others.

Global Neuromorphic Computing Market – Segmentation
By Offering
Hardware
Software
By Deployment
Edge Computing
Cloud Computing
By Application
Data Mining
Object Detection
Image & Signal Processing
Others
By Vertical
Aerospace and Military & Defense
Automotive
Consumer Electronics
Healthcare
IT & Telecom
Industrials
Others

Global Neuromorphic Computing Market – Segmentation by Region 
North America 
United States
Canada
Europe
Germany
United Kingdom
France
Spain
Italy
Rest of Europe
Asia-Pacific 
China
Japan
India
Rest of Asia-Pacific
Rest of the World

Company Profiles
Intel Corp.
IBMCorp.
BrainChip Holdings Ltd.
Qualcomm Technologies, Inc.
HP Enterprise
Brain Corp.
General Vision, Inc.
HRL Laboratories LLC
Knowm Inc.
Numenta, Inc.
Vicarious FPC, Inc.
Samsung Electronics Co. Ltd.
Applied Brain Research, Inc.
Aspinity Inc.
BrainCo, Inc.
Bitbrain Technologies
Halo Neuro, Inc.
NextMindSRL
Cognixion Inc.
NeuroPace, Inc.
InnateraNanosystems BV
MemComputing, Inc.
Natural Intelligence Systems
Ceryx Medical Ltd.

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