Discover Top 50 Companies in Neuromorphic Computing Market: Global Share, Market Size, Revenue Report (2024-2035)
RELEASE DATE: Aug 2025 Author: Spherical InsightsRequest Free Sample Speak to Analyst
Description
According to a research report published by Spherical Insights & Consulting, The Global Neuromorphic Computing Market Size is projected To Grow from USD 201.2 Million in 2024 to USD 102801.2 Million by 2035, at a CAGR of 86.57 % during the forecast period 2025–2035. The neuromorphic computing market holds immense potential, driven by AI growth, edge computing demand, and brain-inspired architectures, enabling ultra-efficient processing for robotics, IoT, autonomous systems, and next-gen smart devices.
Introduction
Neuromorphic computing is a cutting-edge technology that mimics the neural structure and functioning of the human brain to process information efficiently. It combines neuroscience, AI, and semiconductor innovation to create low-power, high-speed computing systems. Neuromorphic chips use spiking neural networks (SNNs) and event-driven architecture, enabling real-time data processing with minimal energy consumption. This approach is ideal for edge devices, robotics, autonomous systems, and AI applications requiring fast and adaptive responses. Key drivers of the market include rising demand for efficient AI hardware, advancements in brain-inspired algorithms, and growing interest in next-generation computing for smart and connected devices.
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Neuromorphic Computing Market Size & Statistics
- The Market Size for Neuromorphic Computing Was Estimated to be Worth USD 201.2 Million in 2024.
- The Market Size is Going to Expand at a CAGR of 86.57 % Between 2025 and 2035.
- The Global Neuromorphic Computing Market Size is Anticipated to Reach USD 102801.2 Million by 2035.
- North America is expected to generate the highest demand during the forecast period in the Neuromorphic Computing Market.
- Europe is expected to grow the fastest during the forecast period in the Neuromorphic Computing Market.
Regional growth and demand
Europe is expected to grow the fastest during the forecast period in the Neuromorphic Computing market. The field of neuromorphic computing holds the promise of significant advancements across various application sectors within the European Union. Neuromorphic computing is mainly an interdisciplinary domain requiring the collaboration of diverse fields and expertise, such as computer engineering, neuroscience, physical sciences, electrical engineering, and nanotechnology. The focus of European funding on collaborative interdisciplinary projects is advantageous for neuromorphic computing. Continuing these efforts is essential for neuromorphic computing to evolve into a more significant strategic issue in Europe.
North America is expected to generate the highest demand during the forecast period in the Neuromorphic Computing market. North America has hosted several of the biggest market leaders, such as IBM Corporation and Intel Corporation. The regional neuromorphic computing market is growing due to various factors, including government initiatives, portfolio investments, and more. The increasing adoption of AI and ML technologies by nations in the region, along with the enhancement and expansion of network infrastructure in various urban areas, will enhance the market throughout the forecast period. Additionally, AI-driven speech and voice recognition technology is a significant focus in the area. The integration allowed the company to enhance its speech processing algorithms to deliver a better voice interface.
Top 5 Emerging Neuromorphic Engineering Startups
1. Innatera – Neuromorphic Processors
Neuromorphic engineering replicates the design of the brain or other parts of the nervous system to provide rapid and efficient processing. This allows the upcoming generation of artificial intelligence (AI) to be motivated by cognition instead of logic or perception. Startups are developing neuromorphic microprocessors that enhance computational speeds to facilitate new computation-heavy applications. Innatera is a startup from the Netherlands that employs neuromorphic engineering to create sophisticated microprocessors. The neuromorphic processors of the startup replicate the brain to attain exceptional efficiency. Innatera utilizes a spiking neural network (SNN) design to provide advanced cognition while maintaining a limited power consumption. The solution also allows for low-power, low-latency, and high-performance continuous processing.
2. MemComputing – Memristive Computing
Neuromorphic designs typically consist of a combination of analog and digital circuits. Nonetheless, there exists a maximum limit to data transfer speeds when logic and memory are housed in separate units. Memristive computing addresses this limitation by allowing computation to occur directly within memory. The technology allows startups to utilize neuromorphic engineering for advanced, smart computing. The startup MemComputing, located in the US, creates solutions for industrial computing tasks. The platform of the startup, Virtual MemComputing Machine, employs brain-inspired algorithms to tackle optimization challenges. It provides performance that can occasionally surpass today’s available classical or quantum computing options. The software-as-a-service (SaaS) platform also allows businesses to enhance operational efficiencies and boost profitability.
3. INSTAR Robotics – Neuro-Inspired Robotics
Cognitive robots employ sophisticated algorithms to acquire intricate skills and can be applied across various sectors, such as healthcare, education, and manufacturing. In neuro-inspired robotics, sensors provide input to neuronal architectures that assist autonomous robots in navigating and executing specific tasks. Startups are developing solutions that integrate neuromorphic sensory systems into robots to enhance their energy efficiency, speed, and sturdiness. INSTAR Robotics is a French company that offers neuro-inspired robotic solutions for farming. The robots employ neural network algorithms to engage with their environment and make choices. Additionally, the robots need no training or guidance after being installed. The robots of the startup collaborate with employees in agricultural logistics and plant nurseries.
4. Ceryx Medical – Medical Devices
Wearables and machine learning are changing the methods by which medical devices gather and assess data. Neuromorphic sensors are similar to their biological equivalents and also enable the regulation of both involuntary and voluntary rhythmic activities. Startups are developing solutions that integrate deep learning with neuromorphic hardware to enhance the performance of medical devices. British startup Ceryx Medical creates bioelectronic instruments. The devices of the startup utilize exclusive microchip technology. The approach utilizes neuromorphic engineering and central pattern generators (CPGs) to replicate the body’s neural hubs. This allows for the creation of innovative clinical tools that enhance treatment effectiveness and patient results.
5. Koniku – Neuromorphic Chips
Neuromorphic chips replicate single neurons and synapses, along with the brain's emergent computational strength and efficiency. Although these draw inspirations from biology, startups are additionally developing solutions that enhance these with biological neurons. These approaches facilitate sensing applications that are both highly sensitive and efficient in computation. Koniku is a startup located in the US that provides nanotechnology products for brain-machine interfaces and additional uses. The startup engineer’s deoxyribonucleic acid (DNA) to provide control, sensing, and computational capabilities of neurons. The approach merges DNA programming and neuromorphic engineering to create computer chips featuring biological neurons. Koniku’s technologies are utilized in security, military, and farming.
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Stay informed with the latest industry insights and market trends to identify new opportunities and drive growth in the Neuromorphic Computing market. To explore more in-depth trends, insights, and forecasts, please refer to our detailed report.
Top 18 Companies Leading the Neuromorphic Computing Market
- BrainChip Holdings Ltd.
- General Vision Inc.
- Qualcomm Technologies, Inc.
- HP Enterprise
- Numenta
- IBM Corporation
- Intel Corporation
- Samsung Electronics Ltd.
- Applied Brain Research Inc.
- Vicarious FPC, Inc.
- CEA-Leti
- SK Hynix Inc.
- Hewlett Packard Company
- HRL Laboratories, LLC
- GrAI Matter Labs
- Innatera Nanosystems B.V.
- Halo Neuroscience
- Flow Neuroscience AB
1. BrainChip Holdings Ltd.
Headquartered in Sydney, Australia, BrainChip Holdings Ltd. is a pioneer in neuromorphic computing. The company is best known for its Akida processor, a brain-inspired chip designed for edge AI applications. Akida enables ultra-low power, real-time learning and inference, ideal for smart sensors, robotics, and autonomous systems. BrainChip’s architecture uses spiking neural networks (SNNs) to process information similarly to the human brain. The company collaborates with leading research institutions and tech firms to integrate its technology into security, healthcare, and industrial IoT, offering highly efficient AI processing for edge devices.
2. General Vision Inc.
General Vision Inc., based in Petaluma, California, USA, specializes in neuromorphic computing solutions focused on pattern recognition and sensory processing. The company’s key product, the NeuroMem technology, uses cognitive memory chips capable of learning and recognizing patterns on-device, enabling fast and energy-efficient processing. General Vision’s chips are widely used in industrial automation, smart vision systems, and cybersecurity. With a strong focus on embedded applications, the firm partners with OEMs to integrate neuromorphic computing into consumer electronics, defense systems, and IoT devices, helping systems become adaptive and intelligent in real-time environments.
3. Qualcomm Technologies, Inc.
Qualcomm Technologies, headquartered in San Diego, California, USA, is a global leader in wireless and semiconductor technology. It is actively investing in neuromorphic computing through its research in brain-inspired AI architectures and low-power edge AI chips. Qualcomm’s Zeroth platform was one of the early ventures into neuromorphic AI, aiming to bring cognitive computing to smartphones and IoT. The company continues to explore neuromorphic principles for enhancing autonomous vehicles, robotics, and AR/VR technologies. With its vast infrastructure in mobile and edge computing, Qualcomm is positioned to accelerate commercial adoption of neuromorphic solutions.
4. Hewlett Packard Enterprise (HPE)
Based in Houston, Texas, USA, Hewlett Packard Enterprise (HPE) is exploring neuromorphic computing through its research in high-performance computing (HPC) and next-gen architectures. HPE collaborates with academic institutions and research labs to develop brain-like computing systems that improve machine learning efficiency. Through its work in memory-driven computing and AI hardware platforms, HPE aims to tackle data-intensive applications in cybersecurity, scientific research, and healthcare. Although not a pure-play neuromorphic company, HPE is strategically positioned to support neuromorphic advancements with its expertise in compute infrastructure and enterprise-grade AI integration.
5. Numenta
Numenta, headquartered in Redwood City, California, USA, is a research company advancing the science of brain theory and applying it to machine intelligence. Founded by Jeff Hawkins, Numenta focuses on Hierarchical Temporal Memory (HTM), a brain-inspired algorithm that models how the neocortex learns and predicts. The company’s technologies are designed to enable continuous learning and sparse distributed representations, essential for energy-efficient AI. Numenta licenses its technology to partners for implementation in neuromorphic chips and AI systems. Its innovations are especially relevant for real-time analytics, anomaly detection, and adaptive computing at the edge.
Are you ready to discover more about the Neuromorphic Computing market?
The report provides an in-depth analysis of the leading companies operating in the global Neuromorphic Computing market. It includes a comparative assessment based on their product portfolios, business overviews, geographical footprint, strategic initiatives, market segment share, and SWOT analysis. Each company is profiled using a standardized format that includes:
Company Profiles
- BrainChip Holdings Ltd.
- Business Overview
- Company Snapshot
- Products Overview
- Company Market Share Analysis
- Company Coverage Portfolio
- Financial Analysis
- Recent Developments
- Merger and Acquisitions
- SWOT Analysis.
- General Vision Inc.
- Qualcomm Technologies, Inc.
- HP Enterprise
- Numenta
- IBM Corporation
- Intel Corporation
- Samsung Electronics Ltd.
- Applied Brain Research Inc.
- Vicarious FPC, Inc.
- CEA-Leti
- SK Hynix Inc.
- Hewlett Packard Company
- HRL Laboratories, LLC
- GrAI Matter Labs
- Innatera Nanosystems B.V.
- Halo Neuroscience
- Flow Neuroscience AB
Conclusion
The neuromorphic computing market is poised to transform the future of intelligent systems by enabling faster, more energy-efficient, and adaptive processing capabilities. As industries increasingly demand real-time decision-making and cognitive computing, neuromorphic architectures offer a promising alternative to traditional AI hardware. Advancements in brain-inspired chip design, spiking neural networks, and low-power computation are driving innovation across applications such as robotics, autonomous systems, and smart devices. With continued research, strategic partnerships, and commercial interest, neuromorphic computing is set to become a foundational pillar in the evolution of next-generation AI technologies.
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