True my friend, but there are far more eyes out in the neuromorphic space than just you or I Sir and amongst them there appears to be a common thread dating back to 2021 market analysis of neuromorphic computing trends, big players & news, which is at least somewhat predictive by inclusion, yes?
Too many big boys mentioned for someone not to know, these guys set the market after all..
3 Independent market analytical reports all mention Brainchip at least a dozen or so times and do so in some esteemed company as highlighted.. !
This is the semiconductor space, nothing happens in an instant and it is all part of an intricate web of other supportive developments that demand the time and money to often secretly mature.
People calling for heads over lack of immediate progress are short sighted I fear, because those deeper in the know seem to say otherwise.. ?
The show kicks off in 2024 and then ramps up into 2025 IMO.
So chill or better yet, shut up and buy.. ;-) hehe
GLTAH H8tey
Dublin, May 05, 2021 (GLOBE NEWSWIRE) -- The"Neuromorphic Chip Market - Growth, Trends, COVID-19 Impact, and Forecasts (2021 - 2026)"report has been added toResearchAndMarkets.com'soffering.
The Neuromorphic Chip Market is valued at USD 1.952 Billion in 2020, and is expecetd to reach USD 7.388 Billion in 2026, registering a CAGR of 24.51% over the forecast period 2021 - 2026. Keeping the pace of advancement of disruptive technologies, such as artificial intelligence (AI) and machine learning (ML), various embedded system providers are keen to develop brain chips, where not only the chips will be processed fast, but will have also responses like human brains for those systems to think and act in a human way.
Data analytics, the Internet of Things (IoT), and smart sensors are considered as major applications for the neuromorphic chip market, as these chips are embedded into hardware used for image recognition, data mining, etc.
Currently, neuromorphic vendors aim to design advanced system-on-chip (SoC) that provides an interface between sensors and algorithms, which eventually results in optimally converted data spikes and spiking neural networks (SNNs). A product like 'Akida NSoC' from BrainChip Holdings Ltd has 1.2 million neurons and 10 billion synapses.
Big chip players, including Intel Corporation, Qualcomm Incorporated, BrainChip Holdings Ltd, HRL Laboratories LLC, IBM Corporation, and many others, are developing neuromorphic chips to cut short the processing speed, through self-decision making abilities of the chips.
Apart from various mainstream players, such as Intel Corporation, Samsung, and SK Hynix, among others, several well-established and noted start-ups, such as BrainChip Holdings Ltd, General Vision, and Vicarious, among others, are also developing neuromorphic chips to cut short the processing speed through decision-making abilities by the chips.
The neuromorphic vendors currently aim to design an advanced system-on-chips (SoC) that provide an interface between sensors and algorithms, which would eventually result in optimally converted data spikes and spiking neural networks (SNNs). Like 'Akida NSoC' from BrainChip Holdings Ltd, the Product consists of 1.2 million neurons and 10 billion synapses.
Neuromorphic chips are likely to have a significant impact on edge devices and IoT systems that must integrate dynamic and changing information that doesn't necessarily run on a single algorithm all while conserving energy.
COVID-19 hasn't deterred companies from their research progress as multiple companies have estimated that commercially available neuromorphic chip technology will take off within the next three to five years.
Key Market Trends
Automotive is the Fastest Growing Industry to Adapt Neuromorphic Chip
- The automotive industry is one of the fastest-growing industries for neuromorphic chips. All the premium car manufacturers are investing heavily to achieve L5 of autonomous technology; which, in turn, is anticipated to generate huge demand for AI-powered neuromorphic chips.
- Due to the complexity of roadway data integration, cars' automated systems need more AI than aircraft. According to the Victoria Transport Policy Institute, by 2030, 20-40% of the automated vehicles will be available in the moderate-to-premium price category, which indicates that more volume of integrated neuromorphic chips is likely to be sold by the AI chip manufacturers.
- The neuromorphic chip manufacturers are focusing on advanced driver assisted system (ADAS) and autonomous vehicle (AV) applications to enhance their market reach. Recently, in October 2017, BrainChip Holdings Ltd supplied neuromorphic chip to one of the top automobile companies in Germany, to test its ADAS capability.
- Intel's Loihi neuromorphic chip has 128 cores and 130,000 neurons. It's capable of crunching AI algorithms up to 1,000 faster and 10,000 times more efficiently than regular CPUs for use with autonomous driving, electronic robot skin, prosthetic limbs and more.
North American is Expected to Hold Major Share over the Forecast Period
- North America is currently one of the major market shareholders for neuromorphic chips with the presence of top vendors in the United States. The latest technological breakthroughs have assisted in the advancement of new x-ray tubes, which can make the overall process more efficient and significantly improve accuracy in various applications.
- There have been a series of new product launches, mergers, and acquisitions in North America to take advantage of this opportunity. The major driver behind the investments has been the continuous evolution and application of new technologies to unlock enormous volumes that were previously considered non-commercial. With these series of investments, the North American region is likely to hold the major share of the market over the forecast period.
- The United States Air Force Research Lab (AFRL) in Rome, N.Y. is working to develop neuromorphic computing for possible fielding on a drone in the next five years. AFRL is looking to use artificial intelligence (AI) and machine learning (ML) to boost processing power and give military operators analytical results, not raw data, to speed wartime decision making..
- On July 19, 2020, AFRL and IBM officially unveiled Blue Raven, which was called "the world's largest neuromorphic digital synaptic supercomputer" by AFRL. In the present scenario, challenges exist in the mobile and autonomous realms due to the limiting factors of power, weight, and size of computing devices commonly referred to as SWaP. The experimental Blue Raven, with its end-to-end IBM TrueNorth ecosystem, is expected to aim to improve on the state-of-the-art by delivering the equivalent of 64 million neurons and 16 billion synapses of processing power while only consuming 40 watts - equivalent to a household light bulb.
- February 2019, MIT researchers of the neuromorphic computing field designed a neuromorphic chip that works like the human brain. It consisting of artificial synapses made from silicon germanium, each synapse measuring about 25 nanometers across. In July 2019, the University of Michigan researchers configured memristors on a chip to enhance performance and lower energy consumption.
Competitive Landscape
As the market for neuromorphic chips is very niche and in the initial phase of development, the market has a presence of a few players, such as BrainChip Holdings Ltd, Intel Corporation, Qualcomm Technologies Inc., etc. In this consolidated market scenario, top players are growing intensely through various market development strategies, such as collaboration, market expansion, product innovation, and R&D activities. Some of the current strategies adopted by these players are:
- July 2020 : A team of researchers at the National University of Singapore (NUS) developed an electronic skin system that could give robots and prosthetic devices a sense of touch in the future. Dubbed Asynchronous Coded Electronic Skin (Aces), the "e-skin" system comprises an artificial nervous system that analyses data transmitted from a network of independent sensors using the Intel Loihi neuromorphic chip. According to NUS, Acres can differentiate physical contact between different sensors in less than 60 nanoseconds - the fastest ever achieved for an electronic skin technology - even with large numbers of sensors.
- July 2019 : Intel launched Pohoiki Beach, an eight million-neuron neuromorphic system comprising 64 Loihi chips. Intel designed Pohoiki Beach to facilitate research being performed by its researchers and those in partners such as IBM and HP and academic researchers at MIT, Purdue, Stanford, and elsewhere.
- July 2019 : Intel launched an eight million-neuron neuromorphic system, comprising 64 Loihi research chips called Pohoiki Beach. This system has the potential benefits of a specialized architecture for emerging applications, like the internet of things (IoT) and autonomous devices, to support the computational problems. This development has opened opportunities required for Intel Labs to scale the architecture to 100 million neurons.
- March 2019 : Qualcomm launched a new system-on-chip (SoC) integrated with AI to enhance smart audio and IoT applications. This AI-enabled SoC is expected to provide seamless voice assistance and other connectivity applications through power-optimized chip architecture. This new product innovation is anticipated to augment the growth of the neuromorphic chip market in the coming years.
The global neuromorphic chip market is estimated to be valued at US$ 26.78 million in 2022 and is expected to exhibit a CAGR of 67.3% over the forecast period (2023-2030).
Neuromorphic chips are digital and analog integrated circuits that implement neural networking technology. Neuromorphic computing is executed on hardware by threshold switches, transistors, and oxide-based memristors. These electronic chips mimic the human brain and are made up of millions of neurons. The architecture of a neuromorphic chip consists of numerous artificial neural networks. Neuromorphic chips are implemented in advanced tools for experimentation. Neuromorphic chips find applications in image recognition, single recognition, and data mining processes among others.
Global Neuromorphic Chip Market: Regional Insights
Global Neuromorphic Chip Market is segmented divided into North America, Europe, Asia Pacific, Latin America, and the Middle East & Africa.
North America shows significant growth in the neuromorphic chip market during the forecast period, because of the key players in the region who are adopting to automation and robotics technology with the help of growing investments on research and development. Development of miniature ICs in the region is leading to growing demand forartificial intelligenceand rising trend for small sized devices that are compact. This factor helps in driving the market.
Few more thing driving the market in the North America region are rapid speed in technological advancements, in terms of innovations in products, and rising industry wide applications of neuromorphic chips, which has Internet of Things (IoT) inbuilt in them. The market accelerates because of more people are adopting machine learning, Natural Language Processing (NLP), image processing, and recognition of speech in healthcare, automotive, and consumer electronics. Many key players are making progress in new innovative products in the market to achieve the edge in the competition. For instance, in January 2022, BrainChip, is a Artificial intelligence company, has announced the commercialization of its Akida Neural Networking Processor, which is used for Internet of Things (IoT) and various edges. That is a neuromorphic AI Chip, which can give ultra-low power and performance benefits over conventional approaches.
Figure 1: Global Neuromorphic Chip Market Share (%), By Region, 2022
Global Neuromorphic Chip Market- Drivers
Increasing demand for artificial intelligence systems
Increasing demand for artificial intelligence systems is expected to drive growth of the global neuromorphic chip market during the forecast period. Numerous companies and researchers are incorporating neuromorphic chips in artificial intelligence systems to enhance processes including speech recognition, machine learning, image recognition, data mining, automated reasoning, etc. Rising use of neuromorphic chips in artificial intelligence has received excellent response from various end users worldwide. This is typically due to extraordinary developments it has brought in mobile phone speech recognition, robots automating operations, driverless cars, and others. Moreover, its capabilities of solving problems by employing a complex pattern-matching process similar to a human brain is another factor expected to drive growth in the global neuromorphic chip market during the forecast period.
Integration of smart machines
Integration ofsmart machinesis expected to propel the global neuromorphic chip market growth over the forecast period. Smart machines are based on cognitive computing and artificial intelligence and have emerged as major trends across the globe. Smart machine manufacturers are integrating neuromorphic chips into their systems, in order to enhance overall performance. Furthermore, the ability of these systems to learn from their surroundings and interactions and respond suitably without the need for pre-programming is encouraging the adoption of these smart machines in lieu of conventional machines.
Global Neuromorphic Chip Market- Opportunities
Conjunction of next-generation strategies
Conjunction of next-generation strategies can present lucrative growth opportunities.Neuromorphic chips represent significant opportunities in terms of being implemented along with other advanced technologies such as artificial intelligence, big data, and others in the coming years. Integration of neuromorphic chips improves the pattern recognition quality in artificial intelligence systems; whereas, in big data, neuromorphic chips advance the data mining and forecasting processes. Manufacturers engaged in the development of these technologies can enter into partnerships and collaboration with manufacturers of artificial intelligence systems to strengthen and establish position in the market.
Integration in portable consumer devices
Integration in portable consumer devices to pose significant business opportunities.Neuromorphic chips have vast opportunities in the smartphone and smartwatch market in the near future. Pattern recognition issues are prime areas for manufacturers to focus on improving in smartphones. Integration of neuromorphic chips into mobile devices will improve the device’s audio and visual processing skills. Moreover, prominent manufacturers of these chips such as IBM Corp., Qualcomm Inc., and others are working towards developing their own neuromorphic technology, which will be suited for applications in mobile phones.
Neuromorphic Chip Market Report Coverage
| Report Coverage | Details |
|---|
| Base Year: | 2022 | Market Size in 2022: | US$ 26.78 Bn |
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| Historical Data for: | 2017 to 2021 | Forecast Period: | 2023 to 2030 |
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| Forecast Period 2023 to 2030 CAGR: | 67.3% | 2030 Value Projection: | US$ 1646.21 Bn |
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| Geographies covered: | - North America:U.S. and Canada
- Latin America:Brazil, Argentina, Mexico, and Rest of Latin America
- Europe:Germany, U.K., Spain, France, Italy, Russia, and Rest of Europe
- Asia Pacific:China, India, Japan, Australia, South Korea, ASEAN, and Rest of Asia Pacific
- Middle East & Africa:GCC Countries, Israel, South Africa, North Africa, and Central Africa
|
| Segments covered: | - By Application:Image Recognition, Single Recognition, Data Mining, Other
- By Vertical:Aerospace & Defense, Automotive, Consumer Electronics, Healthcare, Industrial, Other
|
| Companies covered: | IBM Research, Inc., Knowm Inc., Intel Corp., BrainChip Holdings Ltd., General Vision Inc., HRL Laboratories, LLC, Qualcomm Technologies Inc., and Hewlett Packard Labs. |
| Growth Drivers: | - Increasing demand for artificial intelligence systems
- Integration of smart machinesAgeing population
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| Restraints & Challenges: | - Challenges associated with the development of complex algorithms
- Slow commercialization and high cost Ineffectiveness of general anesthetic drugs in some cases
|
Global Neuromorphic Chip Market-Trends
Neuromorphic chips are being widely used for image recognition applications
Neuromorphic chips are being widely used for image recognition applications. In the recent past, several problems associated with image recognition processes such as low-contrast images, blurred images, noisy images, image conversion to digital form, storage of large-volume images and others, has led to the development of efficient image processing and recognition algorithms. Neuromorphic technology has resolved some issues related to digital image processing through its parallel architecture. Moreover, neuromorphic chips find application in pattern recognition, face recognition, texture analysis, color representation, and several other aspects of image processing.
Driverless cars as well as advanced driver assistance systems represent major opportunities
Currently, the use of neuromorphic chips is limited to specific industries and applications. The number of chips manufactured currently is limited, as most are in the research phase and some are prototype models. There are ample opportunities available in terms of applications for neuromorphic chips, however, are yet to be explored. Driverless cars as well as advanced driver assistance systems represent major opportunities for these chips in the automotive industry. Moreover, rescue robots, drones, and unarmed aerial vehicles used in aerospace and defense sectors represent the future outlook for the neuromorphic chips market.
Global Neuromorphic Chip Market- Restraints
Challenges associated with the development of complex algorithms
Challenges associated with the development of complex algorithms are expected to hinder the global neuromorphic chip market growth over the forecast period. Neuromorphic chips are required for the development of complex algorithms, which can be time-consuming. Neuromorphic chips require algorithms that are not too long as it may result in increase in memory consumption, and may be prone to errors. Furthermore, the development of algorithms that can accelerate the working of a neural network may also require skilled professionals, which in turn, adds to cost production. Thus, these factors are expected to hinder the market growth over the forecast period. For instance, Hewlett Packard Labs(HP), technology company, developed a conversion algorithm to reduce computational errors and maximize computing accuracy of its neuromorphic technology.
Slow commercialization and high cost of neuromorphic chips
Slow commercialization and high cost of neuromorphic chips is expected to restrain growth of the global neuromorphic chip market during the forecast period. The slow rate of commercialization as well as high cost of neuromorphic chips is a major restraining factor for growth of the market. Furthermore, high cost and limited choice among several manufacturers offering neuromorphic chips are constraining OEMs in various industries from integrating these chips in their products.
Figure 2: Global Neuromorphic Chip Market Share (%), By Vertical, 2022
Global Neuromorphic Chip Market- Segmentation:
Global Neuromorphic Chip Market report is segmented into application, vertical, and region.
- The Signal Recognition held dominant position in the market and accounted for 45.2% share in the global neuromorphic chip market in 2022. Rising demand for acoustics signal and processing of audio it is expected to drive nueuromorphic chip market by 2030
Based on vertical, the market is segmented into aerospace and defense, automotive, consumer electronics, Healthcare, Industrial and others. Consumer Electronics accounted for the largest share of 4% in the global neuromophic chip market and is expected to be valued US$ 3,000.6 million by 2030. This is owing to increased demand for artificial intelligence and machine learning in consumer electronics devices.
Global Neuromorphic Chip Market: Key Developments
- For instance, in March 2020,Intel Corp. launched Pohoiki Springs, a powerful self-contained neuromorphic system.
- On May 24 2023,BrainChip Holdings Ltd, the world’s first commercial producer of ultra-low power, fully digital, event-based, neuromorphic AI IP, and CVEDIA, a leading provider of AI-based video analytics solutions, have entered into a partnership to advance the state-of-the-art in Edge AI and neuromorphic computing.
Global Neuromorphic Chip Market: Key Companies Insights
Global Neuromorphic Chip Market is highly competitive, owing tocontinuous launch of new technologies due to ongoing R &D and efforts by value chain participants. Moreover, key players are adopting various business growth strategies, in order to expand their presence on regional as well as global basis.
Some of the key players in the Global Neuromorphic Chip Market are Cadence Design Systems, Inc., Altium LLC, WestDev Ltd., Zuken Inc., AutoDesk Inc. Ansys, Inc., and Synopsys, Inc.
Neuromorphic Chip Market Size
| Study Period | 2018 - 2028 |
| Market Size (2023) | USD 0.08 Billion |
| Market Size (2028) | USD 2.85 Billion |
| CAGR (2023 - 2028) | 104.70 % |
| Fastest Growing Market | Asia-Pacific |
| Largest Market | North America |
Major Players *Disclaimer: Major Players sorted in no particular order |
Neuromorphic Chip Market Analysis
The Neuromorphic Chip Market size is estimated at USD 0.08 billion in 2023, and is expected to reach USD 2.85 billion by 2028, growing at a CAGR of 104.70% during the forecast period (2023-2028).
- The increasing use of biometrics and in-speech recognition drives the demand for neuromorphic chips in smartphones. These chips are used to process audio data in the cloud and then return it to the phone. In addition, Artificial Intelligence (AI) requires more computing power, but low-energy neuromorphic computing could significantly push applications that run presently in the cloud to run directly in the smartphone in the future without substantially draining the phone battery.
- Neuromorphic is a specific brain-inspired ASIC that implements the Spiked Neural Networks (SNNs). It has an object to reach the massively parallel brain processing ability in tens of watts on average. The memory and the processing units are in single abstraction (in-memory computing).
- This leads to the advantage of dynamic, self-programmable behavior in complex environments. Instead of traditional bit-precise computing, neuromorphic hardware leads to the probabilistic models of simple, reliable, robust, and data-efficient computing as the brain's highly stochastic nature. Neuromorphic hardware certainly suits more cognitive applications than precise computing.
- During the next decade, neuromorphic computing will transform the nature and functionalities of a wide range of scientific and non-scientific applications. Some of them include mobile applications that are increasingly demanding powerful processing capacities and abilities.
- The design of neuromorphic chips follows the goal of modeling parts of the biological nervous system. The aim is to reproduce its computational functionality and especially its ability to solve cognitive and perceptual tasks efficiently. Achieving this requires modeling networks of sufficient complexity regarding the number of neurons and synaptic connections. The brain and its ability to learn and adapt to specific problems are still subject to basic neuroscientific research.
- The COVID-19 pandemic had a favorable influence on the medical business market. Several market leaders, including IBM, Hewlett Packard, and Qualcomm, pushed their neuromorphic computing solutions into several hospitals and clinics worldwide. Their technologies' computational skills were able to reduce various difficulties inside a normal hospital ecosystem. The pandemic kept the capital equipment sector humming with a strong demand for next-generation electronics.
Neuromorphic Chip Market Trends
This section covers the major market trends shaping the Neuromorphic Chip Market according to our research experts:
Consumer Electronics Segment Holds Significant Market Share
- The consumer electronics industry identifies neuromorphic computing as a promising tool for enabling high-performance computing and ultra-low power consumption to achieve these goals. For instance, AI services, such as Alexa and Siri, rely on cloud computing with the internet to parse and respond to spoken commands and questions. Neuromorphic chips have the potential to allow several varieties of sensors and devices to perform intelligently without requiring an internet connection.
- Smartphones are expected to be the trigger for the introduction of neuromorphic computing. Several operations, such as biometrics, are power-hungry and data-intensive. For instance, in speech recognition, audio data is processed in the cloud and then returned to the phone.
- Wearable devices are a fast-growing technology with a considerable impact on personal healthcare for both the economy and society. Due to widespread sensors in pervasive and distributed networks, power consumption, processing speed, and system adaptation are vital in the future of smart wearable devices. Additionally, the field of artificial intelligence further boosts the possibility of smart wearable sensory systems. The emerging high-performance systems and intelligent applications need more complexity and demand sensory units to describe the physical object accurately.
- Moreover, increasing the number of wearable devices may further drive market growth. For instance, according to Cisco Systems, the number of connected wearable devices reached 1,105 million in 2022 compared to 929 million in the previous year.
- The increasing interest in neuromorphic engineering shows that hardware-spiking neural networks are considered a critical future technology with high potential in crucial applications, such as edge computing and wearable devices.
To understand key trends, Download Sample Report
North America to Hold Major Share over the Forecast Period
- North America is home to some of the major market vendors, such as Intel Corporation and IBM Corporation. The market for neuromorphic chips is growing in the region due to factors such as government initiatives, investment activities, and others.
- One of the significant factors behind the growth of the market in North America is the interest shown by government bodies toward neuromorphic computing.
- For instance, in September 2022, the Department of Energy (DOE) announced USD 15 million in funding for 22 research projects to advance neuromorphic computing. The initiative by DOE supports the development of hardware and software for brain-inspired neuromorphic computing.
- On the other hand, the government of Canada is focusing on artificial intelligence technology, which is also expected to create a scope for growth in neuromorphic computing over the coming years. For instance, in June 2022, the Canadian Ministry of Innovation, Science, and Industry announced the start of the second phase of the Pan-Canadian Artificial Intelligence Strategy. The second phase of the strategy is backed by a USD 443 million investment in Budget 2021.
- Several research projects are attracting collaborations for advancements in neuromorphic technology. For instance, in August 2022, the Pritzker School of Molecular Engineering (PME) at the University of Chicago in the United States developed a flexible, stretchable neuromorphic computing chip that processes information by mimicking the human brain. The device intends to alter the way health data is processed.
- There has been growth in AI-based chips in Canada, which is also driving the neuromorphic chips market. For instance, in May 2021, Canadian startup Tenstorrent announced that it had raised USD 200 million and achieved unicorn status. The company had planned to deliver its AI chip for real-world applications in the first half of 2022.
- The increasing defense expenditure of various countries is also expected to drive the demand for neuromorphic computing in North America.
To understand geography trends, Download Sample Report
Neuromorphic Chip Industry Overview
The neuromorphic chip market has large-scale semiconductor vendors that command significant revenue generation capabilities, architecture-development start-ups, and universities. The market is consolidated, and vendors are increasingly spending on R&D and collaboration activities to gain technological capabilities and commercialize the market, making the market less competitive.
Despite neuromorphic chips being at an early stage of development, the patent filing activity by players in the market is gaining interest across key semiconductor companies, R&D centers, and universities, and competitive rivalry is poised to increase in the future.
In August 2022, Edge Impulse was launched, which enables developers to create enterprise-grade ML algorithms trained on real-world sensor data in a low-code environment. These trained algorithms can be quantified, optimized, and turned into Spiking Neural Networks (SNN) that are compatible with and deployable with BrainChip Akida devices. This functionality is available for new and existing Edge Impulse projects by utilizing the platform's integrated BrainChip MetaTF model deployment block. This deployment block allows free-tier and enterprise developer users to design and evaluate neuromorphic models for real-world use cases before deploying them on BrainChip Akida development kits.
In April 2022, SynSense announced a collaboration with BMW to advance the integration of neuromorphic chips and smart cockpits. This is the first step in integrating SynSense's brain-like technology into smart cockpits. This neuromorphic technology collaboration with BMW will focus on SynSense's dynamic visual intelligence SoC-Speck, which combines SynSense's low-power SNN vision processor with an event-based sensor on a single chip.
Neuromorphic Chip Market Leaders
Intel Corporation
SK Hynix Inc.
IBM Corporation
Samsung Electronics Co. Ltd
GrAI Matter Labs
*Disclaimer: Major Players sorted in no particular order
Source: https://www.mordorintelligence.com/industry-reports/neuromorphic-chip-market
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