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Market Research Report

Neuromorphic Computing: Technology, Chipsets, and Applications - Technology Analysis of Computing Technologies Inspired by the Brain

Published by OMDIA Product code 962047
Published Content info 14 Pages; 3 Tables, Charts & Figures
Delivery time: 1-2 business days
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Neuromorphic Computing: Technology, Chipsets, and Applications - Technology Analysis of Computing Technologies Inspired by the Brain
Published: September 18, 2020 Content info: 14 Pages; 3 Tables, Charts & Figures

As Moore's law starts to reach its limits, neuromorphic computing is becoming a catalyst for future hardware developments. Neuromorphic computing mimics the human brain using spiking neural networks (SNNs) and memristors. It offers real-time, low power computing that enables users to realize the dream of self-learning, energy efficient devices. Emerging technologies like artificial intelligence (AI), Internet of Things (IoT), and edge devices demand a new hardware architecture that can scale and perform accelerated computation with small power consumption.

Although still in their infancy, neuromorphic chips have the potential to shape next-generation computing and communications solutions ranging from robotics to edge IoT. To be accepted as a mainstream chip technology might look like a distant possibility, but these chips have shown promise during experimental case studies. Only a few experimental kits are available on the market today, but steady progress is being made in neuromorphic research and commercial products are expected in two years.

This Omdia report covers the new technologies enabling neuromorphic computing. It analyzes the potential for exponential growth in the commercial use of neuromorphic technology within the next five years. The report also explores the significant impact of neuromorphic computing on various markets, particularly edge and IoT devices, and compares the key players developing neuromorphic technology.

Key Questions Addressed:

  • What is neuromorphic computing?
  • Why is neuromorphic computing interesting and relevant?
  • How does the technology work at the hardware level?
  • How mature is the technology?
  • Which companies are innovating in this field?

Who Needs This Report?

  • Semiconductor vendors
  • OEMs and ODMs
  • AI software developers
  • Investor community
Table of Contents
Product Code: NEURO-20

Table of Contents


  • Catalyst: Computing inspired by the brain
  • Omdia view
  • Key messages

Technology overview

  • How does a spiking neural network work?
  • Key issues

Market dynamics

  • Key suppliers
    • BrainChip
    • General Vision
    • HRL Laboratories
    • IBM
    • Intel Labs
    • Qualcomm
    • SynSense (aiCTX)
  • Other neuromorphic technology startups

Key markets

  • Autonomous vehicles
  • Medical devices
  • Robotics and drones

Key recommendations

  • Recommendations for startups
  • Recommendations for OEMs
  • Recommendations for chipset suppliers

Tables and Figures

  • Neuromorphic technology startups
  • Modeling of a human brain
  • AI edge chipset revenue by device category, world markets: 2019-25
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