Neuromorphic Chip Market

Market Definition

The market includes hardware, software, and services designed to support brain-inspired computing architectures. It includes hardware components such as neuromorphic processors, sensors, and specialized integrated circuits that mimic neural structures for improved computing efficiency.

It also covers software platforms that facilitate neuromorphic programming, modeling, and machine learning adaptation tailored to these systems. Services such as consulting, support, and maintenance aid in deployment and performance optimization. The report highlights key market drivers, major trends, regulatory frameworks, and the competitive landscape shaping industry growth.

Neuromorphic Chip Market Overview

The global neuromorphic chip market size was valued at USD 135.2 million in 2024 and is projected to grow from USD 182.9 million in 2025 to USD 1,937.8 million by 2032, exhibiting a CAGR of 40.10% during the forecast period.

Market growth is driven by the increasing demand for advanced computing systems that mimic human brain functionality. These chips offer significant advantages in power efficiency and processing speed, making them ideal for applications requiring real-time data analysis and low energy consumption. The rising adoption of artificial intelligence across industries such as automotive, consumer electronics, aerospace, and telecommunications is fueling market expansion.

Major companies operating in the neuromorphic chip industry are PROPHESEE S.A., BrainChip, Inc., General Vision Inc., Aspinity, Qualcomm Technologies, Inc., SK HYNIX INC., NXP Semiconductors, Intel Corporation, Innatera Nanosystems BV, SynSense, Samsung, MEMCOMPUTING, IBM, Micron Technology, Inc., and Sony Corporation.

The rising need for on-device intelligence is accelerating the adoption of neuromorphic technologies, supporting market expansion. Continuous advancements in hardware architectures and software frameworks are enabling more sophisticated and scalable neuromorphic solutions, accelerating commercialization and integration across diverse applications.

• In May 2025, the Technical University of Munich (TUM) introduced the AI Pro chip, a neuromorphic AI processor designed for decentralized use without relying on cloud servers or internet connections. Mimicking the human brain’s architecture, it delivers up to ten times higher energy efficiency and enhanced cybersecurity through local data processing.

Key Highlights:

1. The neuromorphic chip industry size was recorded at USD 135.2 million in 2024.
2. The market is projected to grow at a CAGR of 40.10% from 2025 to 2032.
3. North America held a market share of 36.44% in 2024, with a valuation of USD 49.3 million.
4. The hardware segment garnered USD 65.4 million in revenue in 2024.
5. The image recognition/computer vision segment is expected to reach USD 690.3 million by 2032.
6. The consumer electronics segment is estimated to generate a revenue of USD 746.3 million by 2032.
7. Asia Pacific is anticipated to grow at a CAGR of 41.58% over the forecast period.

Market Driver

Surging Demand for Energy-Efficient AI Solutions

The growth of the neuromorphic chip market is driven by the growing demand for energy-efficient AI solutions. Traditional processors face limitations in meeting speed, energy, and latency requirements, particularly in edge and mobile environments. Neuromorphic chips offer superior power efficiency, making them ideal for wearables, mobile platforms, and real-time applications in robotics, IoT, and autonomous systems

• In April 2024, Intel announced the development of Hala Point, initially deployed at Sandia National Laboratories. Powered by Intel’s Loihi 2 processor, the system supports brain-inspired AI research with enhanced efficiency and scalability. Hala Point features 1.15 billion neurons, providing over 10 times the capacity and up to 12 times the performance of its predecessor, Pohoiki Springs.

Market Challenge

High Manufacturing Cost

A major barrier to the expansion of the neuromorphic chip market is the high manufacturing cost and complexity associated with producing these advanced chips. They require specialized materials and intricate fabrication techniques that are not yet widely available or cost-effective at scale. This limits mass production and increases the price, making it difficult for many potential customers to adopt the technology.

To address this challenge, companies and research institutions are focusing on optimizing manufacturing processes and investing in scalable production technologies. Collaborations with semiconductor foundries and efforts to standardize fabrication methods are helping to reduce costs and improve production efficiency, making neuromorphic chips increasingly accessible to a broader market.

Market Trend

Notable Shift Toward More Efficient Hardware Architectures

The neuromorphic chip market is witnessing a shift toward the development of more efficient hardware architectures. Manufacturers are focusing on designs that mimic the structure and function of the human brain, emphasizing high synaptic density and parallel processing. These advancements enable neuromorphic chips to deliver significantly lower latency and reduced energy consumption compared to traditional processors.

As AI applications expand into mobile, wearable, and embedded systems, the need for compact, responsive, and power-efficient computing solutions is rising. This trend is fostering innovation in architectures that support continuous learning and adaptive processing directly on-chip, enabling smarter and autonomous edge devices across industries.

• In May 2025, Innatera launched Pulsar, a neuromorphic microcontroller designed for sensor edge applications. Pulsar delivers up to 100 times lower latency and 500 times lower energy consumption compared to conventional AI processors. It features a brain-inspired architecture that enables real-time, ultra-low power AI processing directly on battery-powered devices. Pulsar processes data locally, reducing reliance on cloud computing or edge computing.

Neuromorphic Chip Market Report Snapshot

Segmentation	Details
By Component	Hardware (Neuromorphic Processors, Neuromorphic Sensors, Specialized Integrated Circuits (ICs), Others), Software (Neuromorphic Programming Environments, Simulation and Modeling Tools, Machine Learning Algorithms for Neuromorphic Systems, Others), Services (Consulting, Support Services, Maintenance)
By Application	Image Recognition/Computer Vision, Signal Processing, Data Processing and Mining, Others
By End Use Industry	Consumer Electronics, Automotive (ADAS/Autonomous Vehicles), Aerospace & Defense, IT & Telecommunications, Others
By Region	North America: U.S., Canada, Mexico
	Europe: France, UK, Spain, Germany, Italy, Russia, Rest of Europe
	Asia-Pacific: China, Japan, India, Australia, ASEAN, South Korea, Rest of Asia-Pacific
	Middle East & Africa: Turkey, U.A.E., Saudi Arabia, South Africa, Rest of Middle East & Africa
	South America: Brazil, Argentina, Rest of South America

Market Segmentation

• By Component (Hardware (Neuromorphic Processors, Neuromorphic Sensors, Specialized Integrated Circuits (ICs), Others), Software (Neuromorphic Programming Environments, Simulation and Modeling Tools, Machine Learning Algorithms for Neuromorphic Systems, Others), and Services (Consulting, Support Services, Maintenance)): The hardware segment earned USD 65.4 million in 2024 due to rising demand for energy-efficient processors that enable real-time data processing in edge devices.
• By Application (Image Recognition/Computer Vision, Signal Processing, Data Processing and Mining, and Others): The image recognition/computer vision segment held a share of 38.44% in 2024, primarily attributed to increasing adoption in facial recognition, surveillance systems, and autonomous navigation.
• By End Use Industry (Consumer Electronics, Automotive (ADAS/Autonomous Vehicles), Aerospace & Defense, and IT & Telecommunications): The consumer electronics segment is projected to reach USD 746.3 million by 2032, owing to the growing integration of neuromorphic chips in smart devices and next-generation user interfaces.

Neuromorphic Chip Market Regional Analysis

Based on region, the market has been classified into North America, Europe, Asia Pacific, Middle East & Africa, and South America.

The North America neuromorphic chip market share stood at around 36.44% in 2024, valued at USD 49.3 million. This dominance is reinforced by strong investments in research and development, the presence of leading semiconductor companies, and advanced government initiatives supporting AI and neuromorphic computing technologies.

Additionally, North America hosts several leading semiconductor manufacturers and technology firms that emphasize innovation and commercialization of neuromorphic chips. The region’s advanced infrastructure and supportive regulatory environment promote collaborations between academia and industry.

• In February 2025, BrainChip Holdings Ltd and Onsor Technologies collaborated to develop wearable glasses that predict epileptic seizures. The partnership integrates BrainChip’s Akida neuromorphic platform into Onsor’s EEG sensor technology. The device offers real-time seizure alerts with over 95% accuracy and uses incremental learning to improve personalization. This collaboration aims to deliver ultra-low power, AI-powered solutions for better seizure management at the edge.

The Asia-Pacific neuromorphic chip industry is poised to grow at a significant CAGR of 41.58% over the forecast period. This growth is propelled by the increasing adoption of neuromorphic chips in consumer electronics, automotive, and telecommunications industries across countries such as China, Japan, South Korea, and India.

The region’s growing focus on smart manufacturing and Industry 4.0 initiatives is creating a strong demand for low-power, efficient computing solutions. Governments in Asia Pacific are actively promoting semiconductor research and development through funding and policy support, fueling regional market expansion.

Regulatory Frameworks

• In the U.S., the Federal Communications Commission (FCC) oversees communication-related hardware, including components in neuromorphic chips. The National Institute of Standards and Technology (NIST) develops standards and best practices for systems using neuromorphic computing.
• In Europe, the European Commission enforces data protection and AI ethics through the General Data Protection Regulation (GDPR) and the proposed Artificial Intelligence Act (AI Act). These regulations govern the ethical use and transparency of AI-enabled hardware such as neuromorphic chips.

Competitive Landscape

Key players in the neuromorphic chip industry are focusing on strategic partnerships and collaborations with research institutions to accelerate technology development. They invest heavily in research and development to enhance chip performance, reduce power consumption, and improve scalability. Many companies adopt a licensing model to expand their technology reach and integrate neuromorphic solutions into broader AI and computing platforms.

Mergers and acquisitions are being adopted to gain specialized technology and strengthen market position.  Additionally, several players focus on developing integrated software ecosystems to offer comprehensive end-to-end solutions. Regional expansion into emerging markets is a common strategy to capitalize on new growth opportunities.

• In October 2024, TDK Corporation, in collaboration with CEA (France) and Tohoku University, developed a “spin-memristor,” a neuromorphic element that reduces AI power consumption to 1/100th of traditional devices. The technology, which mimics the brain’s analog data storage and offers long-term stability with low power use, enables real-time learning and complex computations for AI applications.

List of Key Companies in Neuromorphic Chip Market:

• PROPHESEE S.A.
• BrainChip, Inc.
• General Vision Inc.
• Aspinity
• Qualcomm Technologies, Inc.
• SK HYNIX INC.
• NXP Semiconductors
• Intel Corporation
• Innatera Nanosystems BV
• SynSense
• Samsung
• MEMCOMPUTING
• IBM
• Micron Technology, Inc.
• Sony Corporation

Recent Developments (Product Launch)

• In April 2025, Frontgrade Gaisler launched the GRAIN product line and secured a contract with the Swedish National Space Agency (SNSA) to commercialize the first energy-efficient neuromorphic System on Chip (SoC) for space applications. The initial GRAIN device, the Gr801 SoC, integrates BrainChip’s Akida neuromorphic technology with Gaisler’s NOEL-V RISC-V processor to support low-power AI for real-time data processing, autonomous navigation, and Earth observation.