Neuromorphic Computing Market

Neuromorphic Computing Market Overview

The neuromorphic computing market size is projected to grow from USD 2.60 billion in 2024 to USD 61.48 billion by 2035, representing a CAGR of 33.32%, during the forecast period till 2035.

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The new research study consists of neuromorphic computing and trends analysis, detailed market forecast analysis, and provide actionable strategic recommendations.

Neuromorphic computing is a part and a process of computing that imitates and functions as the human brain works. Generally, it incorporates hardware and software that are stimulated by the brain’s neural architecture and synapses to process information more naturally and efficiently. Historically, the first silicon neurons and synapses were developed by Misha Mahowald and Carver Mead who created the neuromorphic computing model in 1980. Based on the biological method, where the brain processes data in a parallel way through interconnected neurons and synapses that release chemical and electrical signals and allow neurons to communicate with each other.

Inspired by this, spiking neural networks (SNNs) are the central notion of neuromorphic computing which encourages the way biological networks communicate. Spiking neural networks are artificial networks composed of spiking neurons and synapses. Unlike conventional artificial neural networks (ANNs) that depend on continuous synchronous signals, SNNs process data in spikes as neurons in the brain and allow more efficient use of power in real-time edge applications.

In this context, hardware for neuromorphic computing entails specialized chips to emulate brain-like processing is a significant component. These neuromorphic chips operate on neuromorphic principles to run various artificial intelligence tasks similar to recognition, learning, and decision-making more efficiently than traditional silicon-based architecture. This innovative computing technology has paved the way for industry in developing machines and making them capable of performing daunting tasks more efficiently and accurately.

The purpose of neuromorphic systems is to operate with significantly lower power consumption, thereby excelling in low-power applications like mobile devices, edge computing solutions and sensor networks. Additionally, their parallel processing, real-time data processing, and adaptive learning with scalability signify their importance across various industries from AI, robotics and healthcare to the energy-efficient computing field. Consequently, as the demand for artificial intelligence and machine learning, and the use of neuromorphic systems in the healthcare sector increases, the neuromorphic computing market is expected to witness ample opportunities which will expand the scope of the market during this forecast period.

Neuromorphic Computing Market Share Insights

The neuromorphic computing market report presents an in-depth analysis of the various companies that are involved in offering neuromorphic computing, across different segments, as defined in the table below:

Neuromorphic Computing Market: Report Attributes / Market Segmentations

Key Report Attributes	Details
Historical Trend	Since 2019
Forecast Period	Till 2035
Current Market Size	$ 2.6 Billion
Market Size Value by 2035	$ 61.48 Billion
CAGR (Till 2035)	33.32%
Type of Offering	Hardware Memory Processors Sensors Others Software Platform for Neuromorphic Development Simulation and Modeling Tools
Type of Application	Data Processing Image Processing Object Processing Pattern Recognition Signal Processing Others
Type of Deployment	Cloud Computing Edge Computing
Type of End User	Automotive Consumer Electronics Healthcare Industrial IT & Telecom Military & Defense Retail Others
Geographical Regions	North America US Canada Mexico Other North American countries Europe Austria Belgium Denmark France Germany Ireland Italy Netherlands Norway Russia Spain Sweden Switzerland UK Other European countries Asia China India Japan Singapore South Korea Other Asian countries Latin America Brazil Chile Colombia Venezuela Other Latin American countries Middle East and North Africa Egypt Iran Iraq Israel Kuwait Saudi Arabia UAE Other MENA countries Rest of the World Australia New Zealand Other countries
Leading Market Players	Accenture Brain Chip Holdings Cadence-Design CEA-Leti General Vision Gr AI Matter Labs Hewlett Packard HP HRL Laboratories IBM Innatera Nanosytems Instar Robotics Intel Known Koniku Numenta Qualcomm Samsung Electronics SK HynixNVIDIA SynsSense Vicarious
PowerPoint Presentation (Complimentary)	Available
Customization Scope	15% Free Customization
Excel Data Packs (Complimentary)	Competitive Landscape Company Competitive Analysis Patent Analysis Funding Analysis Recent Developments Market Forecast and Opportunity Analysis

Neuromorphic Computing Market Segmentation

Market Share by Type of Offering

This segment of the neuromorphic computing market forecast report explains the type of offering such as hardware and software. As per market research, the hardware segment which comprises neuromorphic processors, memory chips, sensors, and other hardware devices, currently holds the over 65% market share and is expected to lead the market till 2035. Primarily, due to the high development of neuromorphic chips which are vital for brain-inspired computing architectures and play a key role in performing tasks such as real-time data processing, decision-making, and pattern recognition, drive the market progress. However, software offering is likely to grow at relatively higher CAGR of 38.26% during this projection timeframe owing to the increasing implementation of neuromorphic computing software across diverse industries for simulation and algorithm development with availability on cloud deployment.

Market Share by Type of Application

Based on the type of application, the market is split into data processing, image processing, object processing, pattern recognition, signal processing, and others. According to our neuromorphic computing market analysis., the image-processing application is poised to acquire about 35% market share by next decade. The segment is also likely to lead the market driven by the extensive demand from autonomous vehicles where image processing is essential for object detection, lane tracking, and real-time decision. Also, the widespread use of image processing in medical imaging, robotics, drones, and consumer electronics fuels the neuromorphic computing market demand. While the signal processing application is anticipated to experience a higher growth rate in the coming years due to inflating demand from telecommunications for optimizing network traffic management, signal transmission, and data routing. Along with this, the rising adoption in hearing aid devices, radar, and sonar systems are also ascribed to support the market development.

Market Share by Type of Deployment

Based on the type of deployment, the neuromorphic computing market is divided into edge computing and cloud computing deployment. According to our projection, edge computing deployment is anticipated to elevate the market expansion with the highest neuromorphic computing market share. This dominance can be ascribed to the significance of edge computing in low latency and real-time processing which allow devices to respond instantly without delaying in sending data. In addition, edge devices commonly have limited power resources which make them energy-efficient as neuromorphic chips ideal for processing data locally. Nevertheless, cloud computing is likely to register an exceptional CAGR of 42.34% in the future mainly due to ongoing technological innovation in a one-stop platform for delivering huge amounts of data for organizations. Besides, the cloud deployment’s ability to provide scalable computing solutions flexibility in accessing resources with internet connection supports the market development.

Market Share by Type of End User

On the basis of the type of end-user, the neuromorphic computing market is categorized into automotive, consumer electronics, healthcare, industrial, IT& telecom, military & defense, retail, and others. As per our research, the military and defense sector is projected to hold a leading position in the market with the acquisition of a maximum share of the market. The factor behind this dominance can be ascribed to the unique requirements of the industry and its applications such as radar systems, surveillance, and combat systems which need real-time decision-making, advanced data processing, and energy efficiency, augmenting the neuromorphic computing market growth. Moreover, the automotive industry is likely to witness a substantial growth rate during the projection timeframe driven by the heightening production of autonomous vehicles, and advanced-driver-assistance systems.

Market Share by Geographical Regions

This segment highlights the distribution of neuromorphic computing across various geographical regions, such as North America, Europe, Asia, Latin America, Middle East and North Africa, and the rest of the world. According to previous years’ neuromorphic computing market statistics, North America captures the highest share of the market and holds a leading position in the global marketplace. Additionally, Asia exhibits the fastest CAGR of 37.49% which will continue to expand in the upcoming decade majorly due to the presence of soaring adoption of artificial intelligence, machine learning, IoT, and deep learning technologies along with the expansion of IT sector in the region.

Neuromorphic Computing Market Key Insights

The “Neuromorphic Computing Market, Till-2035: Industry Trends and Global Forecasts “report features an extensive study of the current market landscape, market size and future opportunity within neuromorphic computing market, during the given forecast period. The market report highlights the efforts of several stakeholders involved in this rapidly emerging segment of the service providers industry. Key takeaways of the neuromorphic computing market report are briefly discussed below.

Key Drivers of the Neuromorphic Computing Market

The key drivers of the market include soaring demand for artificial intelligence, machine learning, and need for energy-efficient computing. Illustratively, the extensive use of AI and ML amongst numerous fields, is a leading factor in fueling the market demand where neuromorphic computing amplify its capabilities and provide more efficient and faster processing for AI tasks. Additionally, advancements in self-driving systems, higher demand for edge computing and ongoing innovation in neuromorphic hardware are collectively attributed to reinforce the neuromorphic computing market outlook in the upcoming decade.

Neuromorphic Computing Market Competitive Landscape

Presently, established players along with an increasing number of innovative startup companies are boosting the competitive landscape of the market. These key players are leading the market by emphasizing on the development of hardware and software that allow brain-inspired computing systems. Prominent players like IBM, Intel Qualcomm and other are developing advanced neuromorphic chips that are pushing the technology forward. Also, their broad range of hardware and software solutions, such as Loihi and TureNorth neuromorphic chips and edge AI software help them secure a big chunk of market share. Moreover, their market strategies, focus areas, collaboration and partnership is expected to expand the neuromorphic computing market opportunity in the coming years.

Market Challenges in Neuromorphic Computing Market

There are several factors accelerating the growth of the market, however, it can be hampered by restraining factors like difficulty in integration with existing systems which can create compatibility challenges that require specialized interfaces. Therefore, making it difficult to deploy with traditional computing systems. Also, neuromorphic is still in its early stage of development which needs substantial advancement to fully imitate the complexity and functionality of the human brain. Consequently, such factors can be bottlenecks for the neuromorphic computing market potential growth.

Regional Analysis: North America is Likely to Dominate the Market with the Largest Neuromorphic Computing Market Share

With respect to regional neuromorphic computing market insights, North America has been the most dynamic region in the global market for neuromorphic computing. The factors behind the region’s dominance can be ascribed to the presence of established companies in the region such as HP, Intel, IBM and others. These companies have initiated innovation in neuromorphic hardware and software solutions and their cutting-edge R&D in neuromorphic systems and AI notably thrive the market demand in the region. Furthermore, a robust research and development ecosystem, advanced AI applications, and technological leadership in edge computing, coupled with a range of defense & aerospace applications, position North America as the dominating region in the market.

Leading Neuromorphic Computing Manufacturers

Examples of key Neuromorphic Computing manufacturers involved in the neuromorphic computing market(which have also been captured in this market report, arranged in alphabetical order) include Accenture (Ireland), BrainChip Holdings (Australia), Cadence Design Systems (US), CEA-Leti (France), General Vision (US), Gr AI Matter Labs (France), Hewlett Packard (US), HRL Laboratories (US), IBM (US), Innatera Nanosystems (Netherlands), Instar Robotics, Intel (US), Known (US), Koniku (US), Numenta (US), Qualcomm (US), Samsung Electronics (South Korea), SK Hynix (South Korea), NVIDIA (US), SynSense (Switzerland), and Vicarious (US). This market report includes an easily searchable excel database of all the companies who have adopted the neuromorphic computing market.

Recent Developments In Neuromorphic Computing Market

• In September 2024, Indian Institute of Science (IISc) researchers developed a brain-inspired analog computing platform that is capable of storing and processing data in an astonishing 16,500 conductance states within a molecular film.
• In August 2024, Samsung launched ultra-slim DRAM chips to enhance performance and thermal management for AI workloads.
• In April 2024, Intel introduced the world’s largest AI neuromorphic computer called ‘Hala Point’ that imitates the human brain comprising 1.15 billion neuron neuromorphic system. Through this product launch companies aim to leverage its ability in future artificial intelligence research.

Neuromorphic Computing Market Report Coverage

The market report presents an in-depth analysis, highlighting the capabilities of various companies engaged in this domain, across different segments. Amongst other elements, the market report includes:

• A preface providing an introduction to the full report neuromorphic computing market, 2019-2023 (Historical Trends) and till-2035 (Forecasted Estimates).
• An outline of the systematic research methodology adopted to conduct the study on the neuromorphic computing market, providing insights on the various assumptions, methodologies, and quality control measures employed to ensure the accuracy and reliability of our findings.
• An overview of economic factors that impact the overall neuromorphic computing market, including historical trends, currency fluctuation, foreign exchange impact, recession, and inflation measurement.
• An executive summary of the insights captured during our research. It offers a high-level view on the current state of the neuromorphic computing market and their likely evolution in the mid-long term.
• A detailed assessment of the neuromorphic computing market landscape, based on several relevant parameters, including year of experience, company size, location of headquarters, and ownership structure.
• Elaborate profiles of prominent players engaged in the neuromorphic computing market, featuring information on their year of establishment, location of headquarters, company size, company mission, company footprint, management team, contact details, financial information, operating business segments, neuromorphic computing portfolio, moat analysis, recent developments, and an informed future outlook.
• A qualitative assessment of the various megatrends ongoing in the neuromorphic computing industry, including the increasing use of neuromorphic computing in edge devices and enhanced real-time learning capabilities.
• An analysis highlighting the key unmet needs across neuromorphic computing industry, featuring insights generated from real-time data on unmet needs as identified from social media posts, recent publications, industry blogs and the views of key opinion leaders expressed on online platforms.
• An in-depth analysis of various patents that have been filed / granted related to neuromorphic computing and its components, based on various parameters, such as type of patent, patent publication year, patent age and leading players.
• A detailed analysis of recent developments in the neuromorphic computing domain, based on relevant parameters such as year of initiative, type of initiative (partnerships and collaborations, expansions, funding and product launches), geographical distribution and most active players (in terms of number of recent developments).
• Key winning strategies framework that helps in analyzing the level of competition within an industry, by tracing the key market activities including partnership, funding, expansion of leading players
• A qualitative analysis, highlighting the five competitive forces prevalent in neuromorphic computing industry, including threats for new entrants, bargaining power of suppliers, bargaining power of customers, threats of substitution and rivalry among existing competitors.
• A discussion on affiliated global neuromorphic computing market trends, key drivers and challenges, under a SWOT framework, which are likely to impact the industry’s evolution, along with a Harvey ball analysis, highlighting the relative effect of each SWOT parameter on the overall neuromorphic computing market.
• A value chain analysis featuring a discussion on various stakeholders involved in the development of the neuromorphic computing market, from suppliers to end-users.
• A detailed estimate of the current market size and the future growth potential of the neuromorphic computing market over the next decade. Based on multiple parameters we have provided an informed estimate on the market evolution during the forecast period 2024-2035. The report also features the likely distribution of the current and forecasted opportunity within the neuromorphic computing market. Further, in order to account for future uncertainties and to add robustness to our model, we have provided three forecast scenarios, namely conservative, base, and optimistic scenarios, representing different tracks of the industry’s growth.
• Detailed projections of the current and future market across various types of offering such as hardware and software.
• Detailed projections of the current and future market across various types of application such as data processing, image processing, object processing, pattern recognition, signal processing, and others.
• Detailed projections of the current and future market across various types of deployment such as cloud computing and edge computing.
• Detailed projections of the current and future market across various types of end user such as automotive, consumer electronics, healthcare, industrial, IT & telecom, military & defense, retail, and others.
• Detailed projections of the current and future neuromorphic computing market across various geographical regions, such as North America (US, Canada, Mexico and other North American countries), Europe (Austria, Belgium, Denmark, France, Germany, Ireland, Italy, Netherlands, Norway, Russia, Spain, Sweden, Switzerland, UK and other European countries), Asia (China, India, Japan, Singapore, South Korea and other Asian countries), Middle East and North Africa (Egypt, Iran, Iraq, Israel, Kuwait, Saudi Arabia, UAE and other MENA countries), Latin America (Brazil, Chile, Colombia, Venezuela and other Latin American countries) and rest of the world (Australia, New Zealand and other countries).

Author: Ronit Sharma and Neha Kashyap

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Frequently Asked Questions

Question 1: What is neuromorphic computing?

Answer: Neuromorphic computing is a part and a process of computing that imitates and functions as the human brain works.

Question 2: How big is the neuromorphic computing market?

Answer: Currently, the neuromorphic computing market size is estimated to be worth $ 2.60 billion.

Question 3: What is the projected neuromorphic computing market?

Answer: According to the neuromorphic computing market revenue forecast market is expected to grow at a compounded annual growth rate (CAGR) of over 33.32% during the forecast till 2035.

Question 4: What are the driving factors of the neuromorphic computing market?

Answer: The soaring adoption of artificial intelligence and machine learning, the prevalence of IoT devices, and the trend of mimicking human brain architecture are the key driving factors of the market.

Question 5: What are the leading companies in the neuromorphic computing market?

Answer: Leading players include Accenture (Ireland), BrainChip Holdings (Australia), Cadence Design Systems (US), CEA-Leti (France), General Vision (US), Gr AI Matter Labs (France), Hewlett Packard (US), HRL Laboratories (US), IBM (US), Innatera Nanosystems (Netherlands), Instar Robotics, Intel (US), Known (US), Koniku (US), Numenta (US), Qualcomm (US), Samsung Electronics (South Korea), SK Hynix (South Korea), NVIDIA (US), SynSense (Switzerland), and Vicarious (US) are some of the prominent companies in the Neuromorphic Computing Market.

Question 6: What is the leading region in the neuromorphic computing market?

Answer: Currently, North America is dominating the neuromorphic computing market, holding over 45% market share with the presence of industry players in the region.