Neuromorphic Hardware Market Global Report 2026

The neuromorphic hardware market size has grown exponentially in recent years. It will grow from $0.06 billion in 2025 to $0.07 billion in 2026 at a compound annual growth rate (CAGR) of 28.1%. The growth in the historic period can be attributed to increasing demand for low-power computing, growing adoption of artificial intelligence workloads, rising need for real-time data processing, expanding utilization of edge computing devices, and increasing interest in brain-inspired computing architectures.

The neuromorphic hardware market size is expected to see exponential growth in the next few years. It will grow to $0.18 billion in 2030 at a compound annual growth rate (CAGR) of 24.7%. The growth in the forecast period can be attributed to increasing deployment of artificial intelligence at the edge, growing integration into autonomous systems, rising demand for energy-efficient processors, expanding applications across robotics and healthcare, and increasing investments in neuromorphic computing. Major trends in the forecast period include technological advancements in memristive architectures, innovations in spiking neural network designs, developments in event-driven neuromorphic sensors, increasing research and development in photonic computing, and advancements in hybrid neuromorphic and artificial intelligence chip integration.

The expansion of autonomous vehicles and robotics is expected to propel the growth of the neuromorphic hardware market going forward. Autonomous vehicles and robotics refer to systems that can perform tasks with minimal or no human intervention by using advanced sensors, processors, and machine-learning algorithms to perceive, interpret, and respond to their surroundings. The growth of autonomous vehicles and robotics is being driven by the increasing need for automation and operational efficiency across industries such as transportation, manufacturing, logistics, and defense. Neuromorphic hardware supports the expansion of autonomous vehicles and robotics by replicating the neural architecture of the human brain, enabling ultra-low-latency processing, real-time learning, low-power computation, and adaptive intelligence that conventional processors cannot provide. For instance, in September 2025, according to the International Federation of Robotics, a Germany-based industry association representing the robotics sector, China had 2,027,000 industrial robots operating in factories in 2024, compared with just over 1,890,000 units in 2023, while annual installations reached 295,000 units, increasing by 7% from the previous year, accounting for 54% of global demand and representing the highest level ever recorded. Therefore, the expansion of autonomous vehicles and robotics is driving the growth of the neuromorphic hardware market.

Key companies operating in the neuromorphic hardware market are focusing on technological advancements, such as ultra-efficient, brain-inspired intelligence, to enable edge devices to process complex data streams locally with minimal power consumption and high computational efficiency. Ultra-efficient, brain-inspired intelligence is the capability of a neuromorphic chip to mimic the parallel processing and event-driven operation of the human brain, allowing devices to perform real-time pattern recognition, adaptive learning, and low-latency inference while maintaining energy efficiency and reliability as deployment scales. For example, in May 2025, Innatera Inc., a US-based semiconductor company, launched Pulsar, the world’s first mass-market neuromorphic microcontroller for the sensor edge. The chip integrates spiking neural network capabilities into a compact, low-power platform, enabling smart sensors, Internet of Things devices, and edge artificial intelligence applications to process sensory inputs locally, make autonomous decisions, and reduce dependence on cloud computation.

In February 2024, SynSense Group, a Switzerland-based neuromorphic computing company, acquired iniVation AG for an undisclosed amount. Through the acquisition, SynSense Group aims to integrate its ultra-low-power neuromorphic processing technologies with iniVation’s event-based vision sensing capabilities to develop fully integrated edge AI solutions. The combination is expected to support the development of highly efficient, low-latency spiking neural network (SNN) chips and vision sensor systems for applications including robotics, autonomous vehicles, consumer electronics, and aerospace. iniVation AG is a Switzerland-based company specializing in neuromorphic vision systems.

Major companies operating in the neuromorphic hardware market are Samsung Electronics Co. Ltd., International Business Machines Corporation, Intel Corporation, Mythic Inc., Prophesee S.A., SynSense AG, Innatera Nanosystems B.V., Crocus Technology Inc., Syntiant Corp., Aspinity Inc., Crossbar Inc., GrAI Matter Labs (GML), BrainChip Holdings Ltd., Weebit Nano Ltd., iniVation AG, Knowm Inc., Neurophos Ltd., Eta Compute Inc., Applied Brain Research Inc., MemryX Inc.

North America was the largest region in the neuromorphic hardware market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the neuromorphic hardware market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the neuromorphic hardware market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

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