
Neuromorphic Computing Market Report 2026
Global Outlook – By Component (Hardware, Software, Services), By Deployment (Edge Computing, Cloud Computing), By Application (Signal Processing, Image Processing, Data Processing, Object Detection, Other Applications), By End Use (Consumer Electronics, Automotive, Healthcare, Military And Defense, Other End Uses) – Market Size, Trends, Strategies, and Forecast to 2035
Neuromorphic Computing Market Overview
• Neuromorphic Computing market size has reached to $1.81 billion in 2025 • Expected to grow to $4.96 billion in 2030 at a compound annual growth rate (CAGR) of 22.2% • Growth Driver: The Rising Demand For Automated Systems Fueling The Growth Of The Market Due To Increasing Need For Intelligent And Efficient Operations • Market Trend: Brainchip Revolutionizes Edge Intelligence Through Next-Generation Neuromorphic Hardware • North America was the largest region in 2025 and Asia-Pacific is the fastest growing region.What Is Covered Under Neuromorphic Computing Market?
Neuromorphic computing is a method of computer engineering that models elements of a computer after systems in the human brain and nervous system. It involves designing and engineering computers to mirror the structure and function of the human brain using artificial neurons and synapses to process information. The main components of neuromorphic computing are hardware, software, and services. Neuromorphic computing hardware refers to specialised computer architecture and hardware designed to emulate certain aspects of the structure and functioning of the human brain. It is deployed based on edge computing and cloud computing models for various applications, including signal processing, image processing, data processing, object detection, and others, by consumer electronics, automotive, healthcare, military and defence, and other end uses.
What Is The Neuromorphic Computing Market Size and Share 2026?
The neuromorphic computing market size has grown exponentially in recent years. It will grow from $1.81 billion in 2025 to $2.23 billion in 2026 at a compound annual growth rate (CAGR) of 23.3%. The growth in the historic period can be attributed to development of AI technologies, emergence of brain-inspired computing research, adoption in robotics and automation, advances in semiconductor materials, growth in high-performance computing demand.What Is The Neuromorphic Computing Market Growth Forecast?
The neuromorphic computing market size is expected to see exponential growth in the next few years. It will grow to $4.96 billion in 2030 at a compound annual growth rate (CAGR) of 22.2%. The growth in the forecast period can be attributed to integration with edge AI solutions, expansion in consumer electronics applications, advancement in low-power neuromorphic chips, adoption in automotive and healthcare sectors, growth in cognitive computing research. Major trends in the forecast period include brain-inspired chip development, synapse-based information processing, neuromorphic algorithm advancement, energy-efficient computing solutions, hardware-software co-design optimization.Global Neuromorphic Computing Market Segmentation
1) By Component: Hardware, Software, Services 2) By Deployment: Edge Computing, Cloud Computing 3) By Application: Signal Processing, Image Processing, Data Processing, Object Detection, Other Applications 4) By End Use: Consumer Electronics, Automotive, Healthcare, Military And Defense, Other End Uses Subsegments: 1) By Hardware: Neuromorphic Chips, Processors, Memory Units, Sensors, Interconnects 2) By Software: Neuromorphic Algorithms, Development Tools, Simulation Software, Frameworks For Machine Learning 3) By Services: Consulting Services, Integration Services, Maintenance And Support Services, Training And Development ServicesWhat Is The Driver Of The Neuromorphic Computing Market?
The rising demand for automated systems in industries is expected to propel the growth of the neuromorphic computing market going forward. Automated systems refer to the use of various technologies and control systems to operate and monitor industrial processes without human intervention. Neuromorphic computing technology can be used in autonomous systems such as robotics, drones, self-driving cars, and artificial intelligence. Neuromorphic computing technology can be used to improve automation and efficiency in large-scale operations, product customisation, and factories. For instance, in September 2024, according to the International Federation of Robotics, a Germany-based robotics association, in 2023, operational industrial robots rose 10% to 4.28 million worldwide, with annual installations topping half a million again, and Asia dominating deployments with 70% compared to 17% in Europe and 10% in the Americas. Therefore, the rising demand for automated systems is driving the growth of the neuromorphic computing industry.Key Players In The Global Neuromorphic Computing Market
Major companies operating in the neuromorphic computing market are Intel Corporation; International Business Machines Corporation; Samsung Electronics; Qualcomm Technologies Inc.; GrAI Matter Labs S.A.; SK Hynix Inc.; NVIDIA Corporation; HRL Laboratories LLC; Brain Corporation; Cerebras Systems Inc.; General Vision Inc.; Innatera Nanosystems B.V.; Cortical.io; BrainChip Holdings Ltd.; aiCTX AG; Knowm Inc.; Prophesee S.A.; Numenta Inc.; Applied Brain Research Co. Ltd.; SynSenseGlobal Neuromorphic Computing Market Trends and Insights
Major companies operating in the edge-AI market are focusing on developing advanced neuromorphic computing solutions, such as on-device continuous learning, to improve efficiency, reduce reliance on the cloud, and enhance real-time intelligence. On-device continuous learning refers to a capability that allows artificial intelligence (AI) processors to learn and adapt locally, directly on the device, without sending data back to the cloud. For instance, in March 2023, BrainChip Holdings Ltd., an Australia-based artificial intelligence company, launched its second-generation Akida platform, which introduces support for 8-bit weights and activations, integrated ViT acceleration for high-resolution image tasks, and advanced TENN processing designed to analyse time-dependent data streams directly on edge devices. These features enable substantial reductions in power consumption and latency, supporting broader adoption of neuromorphic technology in automotive, industrial, and consumer applications.What Are Latest Mergers And Acquisitions In The Neuromorphic Computing Market?
In October 2023, Snap Inc., a US-based provider of social media and multimedia messaging services, acquired GrAI Matter Labs for an undisclosed amount. This acquisition is intended to enhance Snap's capabilities in artificial intelligence through GML's innovative neuromorphic computing technology, which mimics the human brain to improve computational efficiency. GrAI Matter Labs, is a France-based provider of neuromorphic computing solutions, including AI system-on-chip platforms designed for low-power, high-performance applications.Regional Insights
North America was the largest region in the neuromorphic computing market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in this market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in this market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, SpainWhat Defines the Neuromorphic Computing Market?
The neuromorphic computing market includes revenues earned by entities by providing products and services such as neuromorphic computing platforms, research and consulting services, and custom hardware solutions. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included. The neuromorphic computing market consists of sales of neuromorphic chips, neuromorphic software, and neuromorphic sensors. Values in this market are ‘factory gate’ values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.How is Market Value Defined and Measured?
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified). The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.What Key Data and Analysis Are Included in the Neuromorphic Computing Market Report 2026?
The neuromorphic computing market research report is one of a series of new reports from The Business Research Company that provides market statistics, including industry global market size, regional shares, competitors with the market share, detailed market segments, market trends and opportunities, and any further data you may need to thrive in the neuromorphic computing industry. The market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future state of the industry.Neuromorphic Computing Market Report Forecast Analysis
| Report Attribute | Details |
|---|---|
| Market Size Value In 2026 | $2.23 billion |
| Revenue Forecast In 2035 | $4.96 billion |
| Growth Rate | CAGR of 23.3% from 2026 to 2035 |
| Base Year For Estimation | 2025 |
| Actual Estimates/Historical Data | 2020-2025 |
| Forecast Period | 2026 - 2030 - 2035 |
| Market Representation | Revenue in USD Billion and CAGR from 2026 to 2035 |
| Segments Covered | Component, Deployment, Application, End Use |
| Regional Scope | Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa |
| Country Scope | The countries covered in the report are Australia, Brazil, China, France, Germany, India, ... |
| Key Companies Profiled | Intel Corporation; International Business Machines Corporation; Samsung Electronics; Qualcomm Technologies Inc.; GrAI Matter Labs S.A.; SK Hynix Inc.; NVIDIA Corporation; HRL Laboratories LLC; Brain Corporation; Cerebras Systems Inc.; General Vision Inc.; Innatera Nanosystems B.V.; Cortical.io; BrainChip Holdings Ltd.; aiCTX AG; Knowm Inc.; Prophesee S.A.; Numenta Inc.; Applied Brain Research Co. Ltd.; SynSense |
| Customization Scope | Request for Customization |
| Pricing And Purchase Options | Explore Purchase Options |
