According to a new report, published by KBV research, The Global Neuromorphic Computing Market size is expected to reach $26.02 billion by 2032, rising at a market growth of 19.7% CAGR during the forecast period.
The Edge segment captured the maximum revenue in the Global Neuromorphic Computing Market by Deployment in 2024, thereby, achieving a market value of $19.7 billion by 2032. Edge deployment in neuromorphic computing refers to the use of brain-inspired processors in localized devices such as smart sensors, mobile devices, wearables, and autonomous systems. This model capitalizes on the natural strengths of neuromorphic architectures, particularly their ability to process data in real-time while consuming very little power.
The Hardware segment is experiencing a CAGR of 19.3 % during the forecast period. Hardware forms the foundational layer of the neuromorphic computing ecosystem. It includes the physical chips and processors that emulate the behavior of biological neurons and synapses using spiking neural networks (SNNs) and other brain-inspired mechanisms. Neuromorphic hardware is designed to support asynchronous, event-driven processing while drastically reducing power consumption compared to traditional computing architectures.
The Consumer Electronics segment led the maximum revenue in the Global Neuromorphic Computing Market by End-use in 2024, thereby, achieving a market value of $7.6 billion by 2032. Consumer Electronics is one of the most promising end-use segments for neuromorphic computing, as it encompasses a broad range of everyday devices including smartphones, wearables, smart home systems, and augmented reality headsets. The main market trend in this segment is the demand for highly responsive and energy-efficient on-device AI, which neuromorphic processors are uniquely equipped to deliver.
The Image Processing segment is growing at a CAGR of 19 % during the forecast period. Image Processing is one of the most advanced and commercially viable applications of neuromorphic computing. Neuromorphic vision systems, particularly event-based cameras, are revolutionizing how image data is captured and processed. Unlike traditional cameras that record at fixed frame rates, event-driven vision sensors only respond to changes in the scene, significantly reducing data throughput and power consumption. This enables real-time image processing in robotics, autonomous vehicles, surveillance, and augmented reality systems.
Full Report: https://www.kbvresearch.com/neuromorphic-computing-market/
The North America region dominated the Global Neuromorphic Computing Market by Region in 2024, and would continue to be a dominant market till 2032; thereby, achieving a market value of $8.9 billion by 2032. The Europe region is anticipated to grow at a CAGR of 19.2% during (2025 - 2032). Additionally, The Asia Pacific region would witness a CAGR of 20.5% during (2025 - 2032).
By Deployment
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By End-use
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