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Neuromorphic Computing Market Trends

Report ID: GMI9155
Published Date: Apr 2024
Report Format: PDF

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Neuromorphic Computing Market Trends

The market for neuromorphic computing is expanding quickly as companies look for machine learning and AI solutions that are more effective. Neuromorphic systems provide increased processing power and energy efficiency by modeling the structure of the brain. In order to address the computational demands of complicated tasks while maximizing energy usage, neuromorphic computing presents a possible solution. The demand for advanced AI applications is expanding across industries, including healthcare, finance, and automotive.

By integrating neuromorphic computing with edge computing, data processing capabilities in real-time are brought to the network's edge, negating the need for data transmission to centralized servers. To reduce latency and enable faster response times for important applications like autonomous vehicles, industrial automation, and augmented reality, calculations are carried out closer to data sources such as IoT devices or sensors.

Authors: Suraj Gujar, Sandeep Ugale

Frequently Asked Questions (FAQ) :

Industry size for neuromorphic computing recorded over USD 5 billion in 2023 and is expected to depict over 25.5% CAGR from 2024 to 2032, due to the capacity to conduct large-scale neural network simulations.

The edge deployment segment in the neuromorphic computing industry is estimated to register over 31% CAGR between 2024 and 2032, owing to its ability to bring computing resources closer to data sources.

North America industry accumulated over 30% share in 2023 and is projected to witness substantial gains from 2024 to 2032, led by the strong ecosystem of tech firms and significant investments in the semiconductor and artificial intelligence sectors.

BrainChip Holdings, General Vision, HP Enterprise, IBM Corporation, Intel Corporation, Knowm Inc., and Qualcomm are some of the leading neuromorphic computing companies worldwide.