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Neuromorphic AI Processor Report Explores Brain-Inspired Chips

This market intelligence report analyzing the brain-inspired chips designed for ultra-low-power, event-driven AI inference at the edge.

Neuromorphic AI Processor Report Explores Brain-Inspired Chips
Source: Pixabay
The JPR report covers the architecture, competitive landscape, and commercial trajectory of spiking neural network (SNN) chips from BrainChip, Innatera, SynSense, Intel, IBM, and a new generation of start-ups including IMChip and Rayd Technologies. Image courtesy: Pixabay

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By DE Editors  

May 1, 2026

Jon Peddie Research (JPR), a market research and consulting firm covering graphics, AI processors, and visual computing, has released Neuromorphic AI Processors, a new market intelligence report analyzing the brain-inspired chips designed for ultra-low-power, event-driven AI inference at the edge.

Neuromorphic processors are not a replacement for GPUs or NPUs, according to JPR; instead, they carve a new subsegment in device inference and IoT, where always-on sensing and sub-milliwatt power budgets make conventional AI silicon impractical. The JPR report covers the architecture, competitive landscape, and commercial trajectory of spiking neural network (SNN) chips from BrainChip, Innatera, SynSense, Intel, IBM, and a new generation of start-ups including IMChip and Rayd Technologies.

The chip-only market sits at $87–$340 million in 2025, growing at a 50%–52% CAGR to reach $3.3–$4.1 billion by 2031–2034. IoT applications account for 45% of forecast revenue, device inference 30%, and autonomous systems 20%. Blended ASP compresses from $45 in 2025 toward $9–$12 by 2031 as consumer wearables and hearables drive volume. Unit shipments climb from 3–8 million in 2025 to more than 100 million by 2031.

“Neuromorphic chips solve a problem that GPUs cannot address economically — persistent, always-on intelligence in devices that run on a coin-cell battery for years. The software ecosystem is still immature and benchmark standards do not yet exist, but the physics argument is compelling. We expect this segment to compound faster than mainstream AI silicon through the end of the decade," says  Jon Peddie, president, Jon Peddie Research.

The report includes competitive profiles, an SNN supplier table, market size and unit shipment forecasts through 2031, ASP analysis by segment, and an inflection signal assessment evaluating whether neuromorphic adoption represents a structural shift in AI hardware procurement.

 

Pricing and availability

JPR's Neuromorphic AI Processors report is available now to JPR subscribers and for individual purchase ($300) at jonpeddie.com. Also, there is a bundle opportunity with the massive 357-page Annual AIP Market Development report and the new AIP Tracker Service.

 

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Engineering Computing   News   Artificial Intelligence AI   Processors   All topics
 

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