Neuromorphic Chips Global Market Report 2026

Neuromorphic chips are specialized computer hardware engineered to emulate the structure and functionality of the human brain, utilizing artificial neurons and synapses for information processing. These chips excel in problem-solving, pattern recognition, and decision-making tasks, outperforming traditional computers in speed and efficiency. They boast collocated processing and memory, along with massively parallel processing capabilities, enabling concurrent execution of multiple functions.

The primary components of neuromorphic chips encompass both software and hardware. Software comprises programs, algorithms, and codes tailored to operate on or interact with these chips, facilitating various functions such as signal processing, data processing, image recognition, and process optimization. These chips find applications across diverse industries including aerospace and defense, automotive, healthcare, industrial, consumer electronics, among others.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

Tariffs are influencing the neuromorphic chip market by increasing import costs for advanced semiconductor materials and manufacturing equipment, which raises overall production expenses for chipmakers. These impacts are most strongly felt across hardware components, particularly in regions reliant on cross border supply chains such as Asia Pacific and Europe. While tariffs create price pressure and potential delays in component availability, they may also encourage domestic manufacturing expansion and accelerate innovation in locally sourced neuromorphic technologies, offering long term strategic advantages.

The neuromorphic chips market research report is one of a series of new reports from The Business Research Company that provides neuromorphic chips market statistics, including the neuromorphic chips industry global market size, regional shares, competitors with a neuromorphic chips market share, detailed neuromorphic chips market segments, market trends and opportunities, and any further data you may need to thrive in the neuromorphic chips industry. This neuromorphic chip 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.

The neuromorphic chips market size has grown rapidly in recent years. It will grow from $0.77 billion in 2025 to $0.87 billion in 2026 at a compound annual growth rate (CAGR) of 12.5%. The growth in the historic period can be attributed to rise in early neuromorphic research initiatives, advancements in semiconductor miniaturization, increased adoption of AI in embedded systems, development of low power processing architectures, initial commercialization of neuromorphic processors.

The neuromorphic chips market size is expected to see rapid growth in the next few years. It will grow to $1.38 billion in 2030 at a compound annual growth rate (CAGR) of 12.2%. The growth in the forecast period can be attributed to growing demand for autonomous decision making hardware, expansion of edge AI applications, rise in smart robotics deployments, increasing investments in neuromorphic r&d, integration of neuromorphic chips into consumer electronics. Major trends in the forecast period include increasing integration of neuromorphic chips in edge AI systems, growing adoption of brain inspired computing architectures, rising use of neuromorphic chips for autonomous decision making, surging application of neuromorphic hardware in industrial automation, expanding deployment of neuromorphic technology for smart mobility, advancements in spiking neural network architectures, rising demand for ultra low power high efficiency processors, increased deployment of memristor based neuromorphic hardware, growing use of neuromorphic systems for real time pattern recognition, expansion of neuromorphic computing in robotics and automation.

The increasing demand for robotics and automation is anticipated to drive the growth of the neuromorphic chips market in the future. Robotics and automation involve the application of computers, control systems, and information technology to manage industrial processes and machinery. Neuromorphic chips are utilized in robotics and automation to harness brain-inspired computing principles, enhancing the capabilities of automated systems and robots. For example, in September 2024, the International Federation of Robotics, a Germany-based non-profit organization, reported that industrial robot installations in Europe rose by 9% in 2023, reaching a record high of 92,393 units. Notably, 80% of these installations occurred within the European Union, totaling 73,534 units, which represents a 2% increase from the previous year. Thus, the increasing demand for robotics and automation is propelling the growth of the neuromorphic chips market.

Leading companies in the neuromorphic chips market are concentrating on creating innovative solutions, including neuromorphic development kits for smart wearables and industrial monitoring devices. A neuromorphic development kit is a tool that facilitates the construction and testing of AI systems that replicate the brain's neural processing, allowing for efficient, low-power sensory data processing in applications such as robotics and IoT. For example, in September 2023, SynSense AG, a Switzerland-based company specializing in neuromorphic intelligence and application solutions, introduced the Xylo IMU HDK, a neuromorphic development kit. The Xylo IMU HDK features a specialized chip designed for ultra-low-power motion processing applications, which supports human movement analysis, industrial monitoring, and human-computer interaction. It is equipped with a 3-axis accelerometer, configurable SNN processing, and a versatile, power-efficient design, making it suitable for various wearable devices and monitoring applications.

In February 2024, SynSense, a China-based provider of ultra-low-power neuromorphic processors and edge-AI chips, acquired iniVation for an undisclosed amount. Through this acquisition, SynSense seeks to build an end-to-end neuromorphic platform, strengthening its technological capabilities by integrating neuromorphic vision sensing with its processing solutions. iniVation is a Switzerland-based provider of neuromorphic vision sensors and event-based camera systems for use in robotics, consumer electronics, automotive, and industrial markets.

Major companies operating in the neuromorphic chips market are Samsung Electronics Limited, Lockheed Martin Corporation, Intel Corp., International Business Machine Corporation, IBM Corporation, SK Hynix Inc., Qualcomm, Hewlett Packard Enterprise, Cadence Design Systems Inc., Nepes Corp., Nepes Corporation, CEA Leti, HRL Laboratories LLC, Altium LLC, SynSense AG, Innatera, Brain Corporation, Vicarious FPC Inc., GrAI Matter Labs, Gyrfalcon Technology Inc, Ceryx Medical, Brain chip Holdings Ltd., Numenta, Inc., Koniku, Applied Brain Research, Inc., General Vision Inc., Knowm Inc.

North America was the largest region in the neuromorphic chips market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the neuromorphic chips 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 chips market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The neuromorphic chips market consists of sales of spiking neural networks (SNNs) chips, truenorth chips, loihi chips, memristor-based chips, and mixed-signal neuromorphic chips. 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.

Neuromorphic Chips Market Global Report 2026 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses neuromorphic chips 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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Where is the largest and fastest growing market for neuromorphic chips ? 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 chips market global report from the Business Research Company 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.

Scope

• Markets Covered:1) By Components: Software; Hardware
• 2) By Function: Signal Processing; Data Processing; Image Recognition; Process optimization
• 3) By End Use Industry: Aerospace And Defense; Automotive; Healthcare; Industrial; Consumer Electronics; Other End User Industries
• Subsegments:
• 1) By Software: Neuromorphic Programming Environments; Simulation And Modeling Tools; Machine Learning Algorithms For Neuromorphic Systems; Data Processing And Analytics Software; Development And Debugging Tools
• 2) By Hardware: Neuromorphic Processors; Neuromorphic Sensors; Specialized Integrated Circuits (Ics); Field-Programmable Gate Arrays (Fpgas) For Neuromorphic Applications; Neuromorphic Chip Systems And Platforms
• Companies Mentioned: Samsung Electronics Limited; Lockheed Martin Corporation; Intel Corp.; International Business Machine Corporation; IBM Corporation; SK Hynix Inc.; Qualcomm; Hewlett Packard Enterprise; Cadence Design Systems Inc.; Nepes Corp.; Nepes Corporation; CEA Leti; HRL Laboratories LLC; Altium LLC; SynSense AG; Innatera; Brain Corporation; Vicarious FPC Inc.; GrAI Matter Labs; Gyrfalcon Technology Inc; Ceryx Medical; Brain chip Holdings Ltd.; Numenta, Inc.; Koniku; Applied Brain Research, Inc.; General Vision Inc.; Knowm Inc.
• 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 Segmentations: 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.
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