Neuromorphic computing can be described as the designing of computers that mimic the way the human brain operates, using a combination of artificial neuron networks instead of using a tradition computer processing unit for calculations. The key benefit of this technology is the lower power requirements, faster processing speed, and smaller space required for the hardware component. In terms of use cases, the primary use case is the application of neuromorphic computers for big data analytics and machine learning, as neuromorphic computers are able to learn faster than tradition computers. It is expected that neuromorphic computing would bring a third wave of AI into play, where AI will more closely operate in a manner similar to the human brain compared to current AI models and technology.

Note: Additional sections (such as market sizing, detailed overview, and incumbents) can be provided on request.