According to a new report published by Introspective Market Research, titled, Neuromorphic Chip Market by Application, End-Use Industry, and Geography, The Global Neuromorphic Chip Market Size Was Valued at USD 26.82 Million in 2023 and is Projected to Reach USD 2,768.58 Million by 2032, Growing at a CAGR of 67.4% from 2024 to 2032.
The Neuromorphic Chip Market is witnessing exponential growth driven by the rising demand for artificial intelligence (AI)-based computing solutions that mimic the functionality of the human brain. Neuromorphic chips are designed to process information efficiently, enabling real-time learning and low-power computation. These chips are gaining traction in industries such as automotive, consumer electronics, robotics, and healthcare, where advanced decision-making and sensory processing are essential.
Unlike traditional chips, neuromorphic chips use spiking neural networks (SNNs) to replicate brain-like operations, offering superior energy efficiency and faster data processing. This makes them highly suitable for edge computing and AI applications that require instantaneous responses, such as autonomous vehicles, drones, and smart surveillance systems. With continuous advancements in nanotechnology and machine learning, the global neuromorphic computing ecosystem is expected to expand significantly over the next decade.
Market Segmentation
The Neuromorphic Chip Market is segmented into Application, End-Use Industry, and Geography.
- By Application, the market is categorized into Signal Processing, Image Processing, Data Processing, and Others.
- By End-Use Industry, it is categorized into Automotive, Consumer Electronics, Healthcare, Aerospace & Defense, and Industrial.
- By Geography, it is divided into North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa.
Growth Driver
A key growth driver for the Neuromorphic Chip Market is the surging adoption of AI and machine learning technologies across industries. These chips enable faster and more energy-efficient computing compared to conventional processors, making them ideal for AI workloads. As demand for intelligent edge devices and real-time analytics continues to rise, neuromorphic chips are being integrated into next-generation AI architectures, supporting autonomous systems and smart devices that require minimal human intervention.
Market Opportunity
An emerging opportunity lies in the integration of neuromorphic chips into Internet of Things (IoT) ecosystems. The expansion of connected devices, coupled with the need for low-latency and energy-efficient processing, presents a massive potential for market players. By enabling real-time decision-making at the edge, neuromorphic chips can enhance system responsiveness in IoT applications such as smart cities, wearable devices, and predictive maintenance systems—creating lucrative opportunities for semiconductor manufacturers and AI developers.
Neuromorphic Chip Market, Segmentation
The Neuromorphic Chip Market is segmented on the basis of Application, End-Use Industry, and Geography.
Application
- The Application segment is further classified into Signal Processing, Image Processing, Data Processing, and Others. Among these, the Image Processing sub-segment accounted for the highest market share in 2023. This dominance is attributed to the increasing use of neuromorphic vision systems in robotics, surveillance, and autonomous driving. These systems enable real-time visual recognition and analysis, replicating the human brain’s ability to process images quickly and efficiently, thereby improving performance and energy consumption in visual AI applications.
End-Use Industry
- The End-Use Industry segment is further classified into Automotive, Consumer Electronics, Healthcare, Aerospace & Defense, and Industrial. Among these, the Automotive sub-segment accounted for the highest market share in 2023. The rapid adoption of autonomous and electric vehicles has increased the demand for advanced computing chips capable of real-time object detection, navigation, and sensor fusion. Neuromorphic chips enhance vehicular intelligence by enabling faster decision-making and improving safety, efficiency, and user experience.
Some of The Leading/Active Market Players Are–
• Intel Corporation (U.S.)
• IBM Corporation (U.S.)
• Qualcomm Technologies Inc. (U.S.)
• BrainChip Holdings Ltd. (Australia)
• Samsung Electronics Co. Ltd. (South Korea)
• Hewlett Packard Enterprise (U.S.)
• General Vision Inc. (U.S.)
• GrAI Matter Labs (France)
• SK Hynix Inc. (South Korea)
• SynSense AG (Switzerland)
• Prophesee (France)
• Innatera Nanosystems (Netherlands)
• aiCTX AG (Switzerland)
• Mythic Inc. (U.S.)
• Applied Brain Research Inc. (Canada)
and other active players.
Key Industry Developments
- In March 2024, Intel announced the expansion of its Loihi 2 neuromorphic research platform.This development aims to advance AI computing by offering enhanced scalability and brain-inspired architectures that significantly reduce power consumption while improving processing efficiency.
- In January 2025, BrainChip Holdings partnered with NVISO to integrate neuromorphic AI in human behavioral analysis systems.This collaboration is expected to revolutionize human–machine interaction through ultra-low-power, high-speed emotion and activity recognition in smart devices and automotive systems.
Key Findings of the Study
• Image Processing dominated the application segment in 2023.
• Automotive held the largest share among end-use industries.
• North America led the global market, driven by AI innovation.
• Rising AI and IoT integration fuels market growth.
• Technological advancements in edge computing shape future trends.
