Self Learning Neuromorphic Chip Market Report 2025 (Global Edition)

Global Self Learning Neuromorphic Chip Market Report 2024 Market Size Split by Component (Hardware, Software), by Application (Data Mining, Signal Recognition, Image Recognition), by Vertical (Power &...

Self Learning Neuromorphic Chip Market Report Description

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Self Learning Neuromorphic Chip Market Insights Video

Competitive Landscape of the Self-Learning Neuromorphic Chip Market

A relatively new and highly specialized market exists within the larger semiconductor and artificial intelligence sectors: the self-learning neuromorphic chip business. These chips are ideal for a variety of applications, such as robotics, autonomous systems, and advanced computing, since they imitate the neural architecture of the human brain to achieve advanced levels of computational efficiency and learning capabilities. This market's competitive landscape is shaped by innovation, partnerships, and the need to increase processing power and energy efficiency.

April 2022: Research and development (R&D) in cloud continuum and neuromorphic computing is being conducted at the Accenture Centre for Advanced Computing in India in partnership with the Indian Institute of Science (IISc) Bengaluru. Accenture and IISc would work together to develop intellectual properties and next-generation computing technologies, such as cloud, edge, quantum, and neuromorphic computing, as well as sustainable software engineering, to enable AI at the edge. These activities would be part of their proposed collaboration. (Source:https://newsroom.accenture.sg/asia-pacific/news/2022/accentureandiisccollaborate#:~:text=As%20part%20of%20the%20programme,as%20well%20as%20in%20sustainable ) September 2021: Intel Corporation's latest neuromorphic hardware version is known as Loihi (second-generation Loihi 2 processor). Compared to its predecessor, this processor delivers notable advancements in energy economy, deep learning capabilities, programmability, and performance. (Source:https://www.intel.com/content/www/us/en/newsroom/news/intel-unveils-neuromorphic-loihi-2-lava-software.html#gs.byrs02)

Top Companies Market Share in Self Learning Neuromorphic Chip Industry: (In no particular order of Rank)

• Samsung Group
• Qualcomm
• General Vision
• Hewlett-Packard
• Intel Corporation
• Brainchip Holdings Ltd.
• Applied Brain Research Inc.
• HRL Laboratories
• Numenta
• IBM
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*List of Second Tier Companies, List of Third Tier/ Start-up Companies (Inquire with sales executive) Request Any Company Profile for Preview Purpose OR Data Validation!

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Regional Analysis of the Self-Learning Neuromorphic Chip Market

Which Region Dominates the Self-Learning Neuromorphic Chip Market in 2024?

According to Cognitive Market Research, North America led the market in 2024, accounting for almost 40% of worldwide sales. The market for self-learning neuromorphic chips is expected to increase in North America because of its robust technological infrastructure and large investments in AI and machine learning research. Neuromorphic computing is a field that is fostering innovation and progress due to the presence of big tech businesses and top academic institutes. Furthermore, strong demand for cutting-edge applications in smart gadgets, healthcare, and autonomous cars propels market expansion. The sector is further boosted by funding and supportive government initiatives, which establish North America as a major player in the worldwide neuromorphic semiconductor market.

Which Region is Expanding at the Fastest CAGR?

Asia-Pacific stands out as the fastest-growing region in the Self Learning Neuromorphic Chip market. The Self Learning Neuromorphic Chip Market is expected to expand in the Asia Pacific area due to substantial expenditures in AI and machine learning, as well as rapid advancements in technology. With robust government funding for innovation and R&D, nations like China, Japan, and South Korea are leading the way. Another factor driving market expansion in this area is the growing electronics and semiconductor industries. Asia Pacific is a key center for future growth in this market because of the growing demand for neuromorphic chips brought about by the increased use of smart devices, automation, and Internet of Things applications across a range of industries.

 

The current report Scope analyzes Self Learning Neuromorphic Chip Market on 5 major region Split (In case you wish to acquire a specific region edition (more granular data) or any country Edition data then please write us on info@cognitivemarketresearch.com

• North America (United States, Canada, Mexico)
• Europe (United Kingdom, France, Germany, Italy, Russia, Spain, Sweden, Denmark, Netherlands, Switzerland, Belgium)
• Asia-Pacific (China, Japan, Korea, India, Australia, Philippines, Singapore, Malaysia, Thailand, Indonesia, Rest of APAC)
• South America (Brazil, Argentina, Colombia, Peru, Chile, Rest of South America)
• Middle East and Africa (Saudi Arabia, Turkey, Nigeria, UAE, Egypt, South Africa, GCC Countries, Rest of MEA)

The above graph is for illustrative purposes only.

North America Self Learning Neuromorphic Chip

According to Cognitive Market Research, the global Self Learning Neuromorphic Chip market size was estimated at USD 851.2 Million, out of which North America held the major market of more than 40% of the global revenue with a market size of USD 340.48 million in 2024 and will grow at a compound annual growth rate (CAGR) of 16.7% from 2024 to 2031.

• According to Cognitive Market Research, the US had a major share in the Self Learning Neuromorphic Chip market with a market size of USD 268.64 million in 2024 and is projected to grow at a CAGR of 16.5% during the forecast period. Leading research institutes and academic institutions actively engaged in AI research and development may be found in abundance in the United States. This encourages advancements in the field of neuromorphic chips.
• The Canada Self Learning Neuromorphic Chip market had a market share of USD 40.86 million in 2024 and is projected to grow at a CAGR of 17.5% during the forecast period. The potential of artificial intelligence is acknowledged by the Canadian government, which funds research projects through institutions like the Canadian Institute for Advanced Research or CIFAR. Because of this, the development of neuromorphic chips is encouraged domestically.
• The Mexico Self-Learning Neuromorphic Chip market is projected to witness growth at a CAGR of 17.2% during the forecast period, with a market size of USD 30.98 million in 2024.

Europe Self Learning Neuromorphic Chip

According to Cognitive Market Research, the global Self Learning Neuromorphic Chip market size was estimated at USD 851.2 Million, out of which Europe held the market of more than 30% of the global revenue with a market size of USD 255.36 million in 2024 and will grow at a compound annual growth rate (CAGR) of 17.0% from 2024 to 2031.

• The United Kingdom Self-Learning Neuromorphic Chip market had a market share of USD 42.90 million in 2024 and is projected to grow at a CAGR of 17.8% during the forecast period. Leading tech corporations and startups are drawn to the UK's established tech hubs, such as London and Cambridge. This concentration of expertise may fuel the demand for and advancement of neuromorphic devices.
• The France Self Learning Neuromorphic Chip market is projected to witness growth at a CAGR of 16.2% during the forecast period, with a market size of USD 23.49 million in 2024.
• According to Cognitive Market Research, the German Self Learning Neuromorphic Chip market size was valued at USD 50.56 million in 2024 and is projected to grow at a CAGR of 17.2% during the forecast period. Germany is renowned for its thriving manufacturing industry, especially in sectors like equipment and autos. Because neuromorphic devices can increase automation and efficiency in various sectors, there will be a big market for them.
• The Italy Self Learning Neuromorphic Chip market is projected to witness growth at a CAGR of 16.4% during the forecast period, with a market size of USD 21.96 million in 2024.
• The Russia Self Learning Neuromorphic Chip market is projected to witness growth at a CAGR of 16.0% during the forecast period, with a market size of USD 39.58 million in 2024.
• The Spain Self Learning Neuromorphic Chip market is projected to witness growth at a CAGR of 16.1% during the forecast period with a market size of USD 20.94 million in 2024
• The Luxembourg Self-Learning Neuromorphic Chip market is projected to witness growth at a CAGR of 17.1% during the forecast period, with a market size of USD 7.92 million in 2024.
• The Portugal Self Learning Neuromorphic Chip market is projected to witness growth at a CAGR of 16.8% during the forecast period, with a market size of USD 5.36 million in 2024.
• The Greece Self Learning Neuromorphic Chip market is projected to witness growth at a CAGR of 17.3% during the forecast period, with a market size of USD 3.06 million in 2024.
• Rest of Europe's Self Learning Neuromorphic Chip market is projected to witness growth at a CAGR of 15.7% during the forecast period, with a market size of USD 39.58 million in 2024.

Asia Pacific Self Learning Neuromorphic Chip

According to Cognitive Market Research, the global Self Learning Neuromorphic Chip market size was estimated at USD 851.2 Million, out of which Asia Pacific held the market of around 23% of the global revenue with a market size of USD 195.78 million in 2024 and will grow at a compound annual growth rate (CAGR) of 20.5% from 2024 to 2031.

• According to Cognitive Market Research, the China Self Learning Neuromorphic Chip market size was valued at USD 88.10 million in 2024 and is projected to grow at a CAGR of 20.0% during the forecast period. China aims to become less dependent on foreign chip manufacturers. Government backing and investments in homegrown chip manufacturing can accelerate the development and production of neuromorphic devices in China.
• The Japan Self Learning Neuromorphic Chip market is projected to witness growth at a CAGR of 19.0% during the forecast period, with a market size of USD 27.02 million in 2024.
• The India Self Learning Neuromorphic Chip market had a market share of USD 23.49 million in 2024 and is projected to grow at a CAGR of 22.3% during the forecast period. India boasts a flourishing startup scene that heavily emphasizes artificial intelligence and cutting-edge technology. These firms have the potential to stimulate demand for neuromorphic chips by creating cutting-edge solutions in a variety of industries.
• The South Korean Self Learning Neuromorphic Chip market is projected to witness growth at a CAGR of 19.6% during the forecast period, with a market size of USD 19.58 million in 2024.
• The Australia Self Learning Neuromorphic Chip market is projected to witness growth at a CAGR of 20.2% during the forecast period, with a market size of USD 10.18 million in 2024.
• The South East Asia Self Learning Neuromorphic Chip market is projected to witness growth at a CAGR of 21.5% during the forecast period, with a market size of USD 13.51 million in 2024.
• The Rest of the Asia Pacific Self-Learning Neuromorphic Chip market is projected to witness growth at a CAGR of 20.3% during the forecast period, with a market size of USD 13.90 million in 2024.

South America Self Learning Neuromorphic Chip

According to Cognitive Market Research, the global Self Learning Neuromorphic Chip market size was estimated at USD 851.2 Million, out of which Latin America market of more than 5% of the global revenue with a market size of USD 42.56 million in 2024 and will grow at a compound annual growth rate (CAGR) of 17.9% from 2024 to 2031.

• According to Cognitive Market Research, the Brazil Self Learning Neuromorphic Chip market size was valued at USD 18.22 million in 2024 and is projected to grow at a CAGR of 18.5% during the forecast period. Brazil is becoming more concerned about cybersecurity. Because of their effective pattern recognition skills, neuromorphic chips could enhance security systems and open up new markets.
• Argentina's Self Learning Neuromorphic Chip market had a market share of USD 7.15 million in 2024 and is projected to grow at a CAGR of 18.8% during the forecast period. Argentina boasts a thriving renewable energy sector in addition to a robust agricultural economy. In these fields, neuromorphic devices can be useful for applications such as real-time data processing in precision agriculture and energy production and distribution optimization.
• Colombia's Self Learning Neuromorphic Chip market is projected to witness growth at a CAGR of 17.7% during the forecast period, with a market size of USD 3.79 million in 2024.
• Peru Self Learning Neuromorphic Chip market is projected to witness growth at a CAGR of 18.1% during the forecast period, with a market size of USD 3.49 million in 2024.
• Chile's Self Learning Neuromorphic Chip market is projected to witness growth at a CAGR of 18.2% during the forecast period, with a market size of USD 3.06 million in 2024.
• The Rest of Latin America's Self Learning Neuromorphic Chip market is projected to witness growth at a CAGR of 17.0% during the forecast period, with a market size of USD 6.85 million in 2024.

Middle East and Africa Self Learning Neuromorphic Chip

According to Cognitive Market Research, the global Self Learning Neuromorphic Chip market size was estimated at USD 851.2 Million, out of which the Middle East and Africa held the major market of around 2% of the global revenue with a market size of USD 17.02 million in 2024 and will grow at a compound annual growth rate (CAGR) of 18.2% from 2024 to 2031.

• The GCC Countries Self Learning Neuromorphic Chip market is projected to witness growth at a CAGR of 19.0% during the forecast period, with a market size of USD 7.29 million in 2024. Several GCC countries are making significant investments in the creation of smart cities with cutting-edge infrastructure. Neuromorphic processors can be extremely important in real-time data processing and analysis in domains like traffic management, energy efficiency, and security systems in these smart cities.
• The Egypt Self Learning Neuromorphic Chip market is projected to witness growth at a CAGR of 18.5% during the forecast period, with a market size of USD 1.79 million in 2024.
• The South Africa Self Learning Neuromorphic Chip market is projected to witness growth at a CAGR of 19.2% during the forecast period, with a market size of USD 2.69 million in 2024. The number of scientists and engineers in South Africa is rising. Through funding initiatives dedicated to artificial intelligence and neuromorphic chip technology, South Africa can produce a workforce equipped to spearhead innovation in these fields.
• The Turkey Self Learning Neuromorphic Chip market is projected to witness growth at a CAGR of 17.7% during the forecast period, with a market size of USD 1.46 million in 2024.
• The Nigeria Self Learning Neuromorphic Chip market is projected to witness growth at a CAGR of 17.3% during the forecast period, with a market size of USD 1.79 million in 2024.
• The Rest of the MEA Self Learning Neuromorphic Chip market is projected to witness growth at a CAGR of 17.2% during the forecast period, with a market size of USD 2.01 million in 2024.

Self Learning Neuromorphic Chip Market Analysis

Self-Learning Neuromorphic Chip Market Component Segment Analysis

According to Cognitive Market Research, Hardware is the dominating category. This is due to the fact that neuromorphic processors, memory systems, and sensors make up the majority of the hardware in the Self Learning Neuromorphic Chip Market. Real-time learning and adaptation are made possible by neuromorphic processors, which imitate brain networks. Resistive RAM (ReRAM) and phase-change memory (PCM) are two examples of specialized memory systems that enable effective data storage and retrieval. Furthermore, accurate data gathering and processing are made possible by sophisticated sensors combined with neuromorphic circuits. The implementation of neuromorphic computing systems in a range of applications, from robotics to Internet of Things devices, depends on these hardware elements..

Software is the fastest-growing category in the Self Learning Neuromorphic Chip market. The Self Learning Neuromorphic Chip Market's software segment consists of development tools, neural network algorithms, and machine learning frameworks. Neuromorphic chips can be trained, programmed, and optimized to carry out specific tasks with the help of these software solutions. Important parts are application-specific software for implementing these devices in different industries, specialized libraries for neuromorphic computing, and simulation tools for creating and testing neural architectures. In order to fully utilize neuromorphic technology and provide adaptable, effective, and intelligent computing solutions, this software ecosystem is necessary.

The above Chart is for representative purposes and does not depict actual sale statistics. Access/Request the quantitative data to understand the trends and dominating segment of Self Learning Neuromorphic Chip Industry. Request a Free Sample PDF!

Self-Learning Neuromorphic Chip Market Application Segment Analysis

According to Cognitive Market Research, the dominating category is Data Mining. Data mining applications gain significant benefits from the chips' capacity to process and analyze big datasets quickly in the Self Learning Neuromorphic Chip Market. Complex pattern recognition, anomaly detection, and predictive analytics can all be quickly and power-efficiently carried out using neuromorphic devices. Large volumes of data may be analyzed in real-time and with greater accuracy thanks to their adaptive and real-time learning capabilities. They are, therefore, perfect for industries where quick and accurate data analysis is essential for decision-making and operational effectiveness, such as cybersecurity, healthcare, and finance.

The fastest-growing category in the Self Learning Neuromorphic Chip market is Image Recognition. Many image recognition activities, including image categorization, make use of neuromorphic devices. They offer improved real-time image processing and analysis, which makes them perfect for uses like scene classification, object identification, and facial recognition. Neuromorphic chips are essential for recognizing and locating objects or people in surveillance systems' security footage. Their capacity to identify patterns and interpret video streams quickly makes them extremely useful in security applications. Furthermore, autonomous cars need to be able to recognize images in order to sense their environment. Real-time camera feed processing made possible by neuromorphic circuits enables cars to react quickly, identify impediments, and maneuver safely.

The above Graph is for representation purposes only. This chart does not depict actual Market share.

Self Learning Neuromorphic Chip Vertical Segment Analysis

Self-Learning Neuromorphic Chip Market Vertical Segment Analysis

According to Cognitive Market Research, the dominating category is Power & Energy. The Self Learning Neuromorphic Chip Market in the Power & Energy vertical improves smart grid operations and optimizes energy management, providing substantial advantages. Neuromorphic chips improve load balancing and cut down on waste by enabling effective real-time monitoring and analysis of energy consumption trends. Their capacity for adaptive learning makes energy systems more responsive and robust by enabling the prediction and management of variations in energy demand. Additionally, by controlling their unpredictability and improving overall grid stability and efficiency, these chips facilitate the incorporation of renewable energy sources.

The fastest-growing category in the Self Learning Neuromorphic Chip market is Automotive. Neuromorphic chips are used in advanced driver assistance systems (ADAS) in automobiles to provide functions including automated parking, adaptive cruise control, and lane departure warning. They improve automation and vehicle safety by processing sensor data in real time. In order for autonomous cars to interpret information from sensors like radar and cameras, make snap judgments, identify hazards, and travel safely, neuromorphic chips are essential.

• Power & Energy
• Media & Entertainment
• Smartphones
• Healthcare
• Automotive
• Consumer Electronics
• Aerospace and Defense

Author's Detail

Kalyani Raje

Senior Research Analyst at Cognitive Market Research

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An optimistic Senior Research Analyst with years of experience in competitive assessment and business consulting. A seasoned professional and subject-matter expert (SME) in the Automobile & Transportation vertical.

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