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.
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.
The growing demand for automated systems in industries is expected to drive the growth of the neuromorphic computing market in the coming years. Automated systems involve using various technologies and control mechanisms to operate and monitor industrial processes without human intervention. Neuromorphic computing technology can be applied in autonomous systems such as robotics, drones, self-driving cars, and artificial intelligence, enhancing automation and efficiency in large-scale operations, product customization, and manufacturing facilities. For example, in September 2024, according to the International Federation of Robotics, a Germany-based robotics association, operational industrial robots increased by 10% to 4.28 million worldwide in 2023, with annual installations surpassing half a million, and Asia leading deployments with 70%, compared to 17% in Europe and 10% in the Americas. Therefore, the rising demand for automated systems is contributing to the growth of the neuromorphic computing market.
Major companies in the edge-AI market are focusing on developing advanced neuromorphic computing solutions, such as on-device continuous learning, to enhance efficiency, reduce dependence on the cloud, and provide real-time intelligence. On-device continuous learning allows AI processors to learn and adapt locally on the device without sending data to the cloud. For example, in March 2023, BrainChip Holdings Ltd., an Australia-based AI company, launched its second-generation Akida platform, featuring support for 8-bit weights and activations, integrated ViT acceleration for high-resolution image processing, and advanced TENN processing designed to analyze time-dependent data streams directly on edge devices. These capabilities enable significant reductions in power consumption and latency, supporting wider adoption of neuromorphic technology in automotive, industrial, and consumer applications.
In October 2023, Snap Inc., a US-based provider of social media and multimedia messaging services, acquired GrAI Matter Labs for an undisclosed amount. The purpose of this acquisition is to strengthen Snap's artificial intelligence capabilities by incorporating GML's innovative neuromorphic computing technology, which replicates the human brain to enhance computational efficiency. GrAI Matter Labs is a France-based company that specializes in neuromorphic computing solutions, including AI system-on-chip platforms designed for low-power, high-performance applications.
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.; SynSense.
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 the neuromorphic computing 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 computing market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
Tariffs have impacted the neuromorphic computing market by raising costs for importing specialized chips, memory units, and advanced processors. Regions such as North America, Europe, and Asia-Pacific face higher expenses for hardware components and integrated solutions. While tariffs have slowed adoption in certain segments, they have also incentivized local manufacturing, encouraged development of cost-efficient neuromorphic chips, and accelerated innovation in software-hardware integration and energy-efficient computing solutions.
The neuromorphic computing market research report is one of a series of new reports that provides neuromorphic computing market statistics, including neuromorphic computing industry global market size, regional shares, competitors with a neuromorphic computing market share, detailed neuromorphic computing market segments, market trends and opportunities, and any further data you may need to thrive in the neuromorphic computing industry. This neuromorphic computing market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.
Neuromorphic computing is a computer engineering methodology that emulates elements of the human brain and nervous system. This approach involves the design and engineering of computers to replicate the structure and functionality of the human brain. It utilizes artificial neurons and synapses to process information, mirroring the way biological systems work in terms of information processing and learning. The aim of neuromorphic computing is to develop more efficient and brain-such as computing systems that can excel in tasks such as pattern recognition and cognitive processing.
The prominent components of neuromorphic computing encompass hardware, software, and services. Neuromorphic computing hardware refers to specialized computer architecture and hardware designed to emulate specific aspects of the structure and functioning of the human brain. This hardware is deployed using edge computing and cloud computing models for a variety of applications, including signal processing, image processing, data processing, object detection, and more. End-users of neuromorphic computing hardware include consumer electronics, automotive, healthcare, military and defense, and various other industries. The integration of hardware, software, and services in neuromorphic computing aims to create efficient and brain-inspired computing systems.
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, 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.
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.
This product will be delivered within 1-3 business days.
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.
The growing demand for automated systems in industries is expected to drive the growth of the neuromorphic computing market in the coming years. Automated systems involve using various technologies and control mechanisms to operate and monitor industrial processes without human intervention. Neuromorphic computing technology can be applied in autonomous systems such as robotics, drones, self-driving cars, and artificial intelligence, enhancing automation and efficiency in large-scale operations, product customization, and manufacturing facilities. For example, in September 2024, according to the International Federation of Robotics, a Germany-based robotics association, operational industrial robots increased by 10% to 4.28 million worldwide in 2023, with annual installations surpassing half a million, and Asia leading deployments with 70%, compared to 17% in Europe and 10% in the Americas. Therefore, the rising demand for automated systems is contributing to the growth of the neuromorphic computing market.
Major companies in the edge-AI market are focusing on developing advanced neuromorphic computing solutions, such as on-device continuous learning, to enhance efficiency, reduce dependence on the cloud, and provide real-time intelligence. On-device continuous learning allows AI processors to learn and adapt locally on the device without sending data to the cloud. For example, in March 2023, BrainChip Holdings Ltd., an Australia-based AI company, launched its second-generation Akida platform, featuring support for 8-bit weights and activations, integrated ViT acceleration for high-resolution image processing, and advanced TENN processing designed to analyze time-dependent data streams directly on edge devices. These capabilities enable significant reductions in power consumption and latency, supporting wider adoption of neuromorphic technology in automotive, industrial, and consumer applications.
In October 2023, Snap Inc., a US-based provider of social media and multimedia messaging services, acquired GrAI Matter Labs for an undisclosed amount. The purpose of this acquisition is to strengthen Snap's artificial intelligence capabilities by incorporating GML's innovative neuromorphic computing technology, which replicates the human brain to enhance computational efficiency. GrAI Matter Labs is a France-based company that specializes in neuromorphic computing solutions, including AI system-on-chip platforms designed for low-power, high-performance applications.
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.; SynSense.
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 the neuromorphic computing 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 computing market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
Tariffs have impacted the neuromorphic computing market by raising costs for importing specialized chips, memory units, and advanced processors. Regions such as North America, Europe, and Asia-Pacific face higher expenses for hardware components and integrated solutions. While tariffs have slowed adoption in certain segments, they have also incentivized local manufacturing, encouraged development of cost-efficient neuromorphic chips, and accelerated innovation in software-hardware integration and energy-efficient computing solutions.
The neuromorphic computing market research report is one of a series of new reports that provides neuromorphic computing market statistics, including neuromorphic computing industry global market size, regional shares, competitors with a neuromorphic computing market share, detailed neuromorphic computing market segments, market trends and opportunities, and any further data you may need to thrive in the neuromorphic computing industry. This neuromorphic computing market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.
Neuromorphic computing is a computer engineering methodology that emulates elements of the human brain and nervous system. This approach involves the design and engineering of computers to replicate the structure and functionality of the human brain. It utilizes artificial neurons and synapses to process information, mirroring the way biological systems work in terms of information processing and learning. The aim of neuromorphic computing is to develop more efficient and brain-such as computing systems that can excel in tasks such as pattern recognition and cognitive processing.
The prominent components of neuromorphic computing encompass hardware, software, and services. Neuromorphic computing hardware refers to specialized computer architecture and hardware designed to emulate specific aspects of the structure and functioning of the human brain. This hardware is deployed using edge computing and cloud computing models for a variety of applications, including signal processing, image processing, data processing, object detection, and more. End-users of neuromorphic computing hardware include consumer electronics, automotive, healthcare, military and defense, and various other industries. The integration of hardware, software, and services in neuromorphic computing aims to create efficient and brain-inspired computing systems.
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, 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.
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.
This product will be delivered within 1-3 business days.
Table of Contents
1. Executive Summary
2. Neuromorphic Computing Market Characteristics
3. Neuromorphic Computing Market Supply Chain Analysis
4. Global Neuromorphic Computing Market Trends and Strategies
5. Neuromorphic Computing Market Analysis of End Use Industries
7. Global Neuromorphic Computing Strategic Analysis Framework, Current Market Size, Market Comparisons and Growth Rate Analysis
8. Global Neuromorphic Computing Total Addressable Market (TAM) Analysis for the Market
9. Neuromorphic Computing Market Segmentation
10. Neuromorphic Computing Market, Industry Metrics by Country
11. Neuromorphic Computing Market Regional and Country Analysis
12. Asia-Pacific Neuromorphic Computing Market
13. China Neuromorphic Computing Market
14. India Neuromorphic Computing Market
15. Japan Neuromorphic Computing Market
16. Australia Neuromorphic Computing Market
17. Indonesia Neuromorphic Computing Market
18. South Korea Neuromorphic Computing Market
19. Taiwan Neuromorphic Computing Market
20. South East Asia Neuromorphic Computing Market
21. Western Europe Neuromorphic Computing Market
22. UK Neuromorphic Computing Market
23. Germany Neuromorphic Computing Market
24. France Neuromorphic Computing Market
25. Italy Neuromorphic Computing Market
26. Spain Neuromorphic Computing Market
27. Eastern Europe Neuromorphic Computing Market
28. Russia Neuromorphic Computing Market
29. North America Neuromorphic Computing Market
30. USA Neuromorphic Computing Market
31. Canada Neuromorphic Computing Market
32. South America Neuromorphic Computing Market
33. Brazil Neuromorphic Computing Market
34. Middle East Neuromorphic Computing Market
35. Africa Neuromorphic Computing Market
37. Neuromorphic Computing Market Competitive Landscape and Company Profiles
38. Neuromorphic Computing Market Other Major and Innovative Companies
41. Neuromorphic Computing Market High Potential Countries, Segments and Strategies
42. Appendix
Executive Summary
Neuromorphic Computing Market Global Report 2026 provides strategists, marketers and senior management with the critical information they need to assess the market.This report focuses neuromorphic computing market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
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Description
Where is the largest and fastest growing market for neuromorphic computing? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The neuromorphic computing market global report answers all these questions and many more.The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.
- The market characteristics section of the report defines and explains the market. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
- The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
- The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
- The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
- The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
- The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
- The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
- The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
- Market segmentations break down the market into sub markets.
- The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
- Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
- The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
- The company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.
Report Scope
Markets Covered:
1) By Component: Hardware; Software; Services2) 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; Interconnects2) 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 Services
Companies Mentioned: 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
Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain
Regions: Asia-Pacific; South East Asia; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time Series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita.
Data Segmentation: Country and regional historic and forecast data, market share of competitors, market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
Delivery Format: Word, PDF or Interactive Report + Excel Dashboard
Added Benefits:
- Bi-Annual Data Update
- Customisation
- Expert Consultant Support
Companies Mentioned
The companies featured in this Neuromorphic Computing market report include:- 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
Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 250 |
| Published | February 2026 |
| Forecast Period | 2026 - 2030 |
| Estimated Market Value ( USD | $ 2.23 Billion |
| Forecasted Market Value ( USD | $ 4.96 Billion |
| Compound Annual Growth Rate | 22.2% |
| Regions Covered | Global |
| No. of Companies Mentioned | 21 |
