Neuromorphic Computing Market by Offering (Processor, Sensor, Memory, Software), Deployment (Edge, Cloud), Application (Image & Video Processing, Natural Language Processing (NLP), Sensor Fusion, Reinforcement Learning) - Global Forecast to 2030
The neuromorphic computing market is expected to be worth USD 28.5 million in 2024 and is estimated to reach USD 1,325.2 million by 2030, growing at a CAGR of 89.7% between 2024 and 2030. The demand for real-time data processing and decision-making capabilities in edge computing drives the adoption of neuromorphic computing. The increasing requirements to process real-time massive data for applications related to industrial automation, autonomous driving, and monitoring with a capability to make instantaneous decisions are making neuromorphic computing increasingly in demand. Moreover, the semiconductor industry is facing challenges in continuing to double the transistor count on ICs. The miniaturization of ICs faces issues such as current leakage, overheating, and other quantum mechanical effects, driving the urgent need for alternative approaches like neuromorphic technology to enhance computational power.
Software segment to exhibit highest CAGR of neuromorphic computing market during forecast period
Software segment is anticipated to hold the highest CAGR in the Neuromorphic computing market, as software allows live data streaming rather than static data, which makes them an attractive market for deep learning. Neuromorphic computing compares and analyses data and generates similar results if the new pattern matches the existing patterns. Similarly, for biometric pattern recognition, using neuromorphic computing has an advantage, as it gives real-time computation of patterns with high speed, accuracy, and low power consumption. The growing demand for edge devices and lot sensors underscores the importance of energy efficiency in computing systems. These applications often involve large numbers of sensors and devices that must operate efficiently with minimal energy consumption, due to their limited power resources and the need for prolonged battery life. According to analysis by IoT Analytics, the number of IoT connections could exceed 29 billion, by 2027, due to growing dependence of various sectors on interconnected devices. These applications involves large number of sensors and devices which needs to operate efficiently along with minimal energy consumption, as they have limited power resources. These requirements are met by neuromorphic computing as it minimizes the energy-intensive data movement between the processing and memory, which was a limitation in traditional von neuman architectures, leading to rise in demand for neuromorphic software.
“Edge segment in deployment is expected to have the highest share during the forecast period.”
Edge segment is expected to hold highest share during the forecast period. Neuromorphic computing on edge can be used in various applications. For instance, IoT devices that connect to the Internet can benefit from running code on the device itself rather than on the cloud for more efficient user interactions. Similarly, autonomous vehicles that need to react in real time, without waiting for instructions from a server, can benefit from neuromorphic computing on edge. Medical monitoring devices that must respond in real time without waiting to hear from a cloud server would also benefit from the rapid response time of neuromorphic computing at the edge. Therefore, the increasing demand for real-time processing, low-latency responses, and energy-efficient solutions across industries like IoT, autonomous vehicles, and medical devices will drive the edge segment to dominate the neuromorphic computing market during the forecast period.
“Image and video processing/computer vision segment to hold the largest share during the forecast period.
Image and video processing/ computer vision holds major share in the neuromorphic computing malret. The rise of smart cities is propelling deployment of surveillance systems, thus increasing the need for real-time image analysis. According to the World Economic Forum, 1.3 million people are moving to cities every week around the globe, and by 2040, 65% of the world's population will live in cities. Today, 60% of the world's GDP comes from the 600 largest cities and these figures can be expected to expand as these cities grow and thrive. It is projected that up to 80% of further growth in developing regions will take place in urban centers. This rapid urbanization is going to lead to a force of requirement in neuromorphic computing concerning image and video processing because cities have no choice but to demand their sophisticated application for dealing with large amounts of visual data in the implementation of applications such as surveillance, traffic management, and infrastructure monitoring for safety and efficiency into crowded and complex environments.
“Market for Consumer electronics segment is projected to hold for largest share during the forecast timeline.”
Consumer electronics will witness a higher share during the forecast period because of its high demand for smart, efficient, and high-performance devices. The Neuromorphic computing sector has immense advantage due to ultra-low power consumption and exceptional processing capabilities, critical to powering the next generation of consumer electronics. One such feature that is still being incorporated with consumer electronics is AI-driven features. The most effective of these are an image and a speech recognition tool. These chips enable devices to process complex tasks locally, reducing reliance on cloud computing and enhancing user privacy and real-time performance. For example, services such as Alexa and Siri that currently rely heavily on cloud computing will directly benefit from deployment of neuromorphic chips. That would make the latency low and make these AI assistants much more efficient.
“North America is expected to hold for largest share during the forecast timeline.”
North America will occupy the largest share during the forecast period due to the presence of prominent technology providers, such as IBM (US) and Intel Corporation (US), Qualcomm
Technologies, Inc. (US), Advanced Micro Devices, Inc. (US), Hewlett Packard Enterprise Development LP (US), OMNIVISION (US), contributes to the market's growth in this region. These firms are researching and developing neuromorphic chips and AI solutions, leading the region into the innovation front in technology. Increased government spending over the years to address concerns over the security of critical infrastructures and sensitive data has resulted in the adoption of neuromorphic chipsets in security applications. High consumerization of personal care products, routine checkup medical tools, and wearable devices is boosting the adoption of neuromorphic computing devices in North America, thereby driving the growth of this market.
Extensive primary interviews were conducted with key industry experts in the neuromorphic computing market space to determine and verify the market size for various segments and subsegments gathered through secondary research. The break-up of primary participants for the report has been shown below: The study contains insights from various industry experts, from component suppliers to Tier 1 companies and OEMs. The break-up of the primaries is as follows:
The report profiles key players in the neuromorphic computing market with their respective market ranking analysis. Prominent players profiled in this report are Intel Corporation (US), IBM (US), Qualcomm Technologies, Inc. (US), Samsung Electronics Co., Ltd. (South Korea), Sony Corporation (Japan), BrainChip, Inc. (Australia), SynSense (China), MediaTek Inc. (Taiwan), NXP Semiconductors (Netherlands), Advanced Micro Devices, Inc. (US), Hewlett Packard Enterprise Development LP (US), OMNIVISION (US), among others.
Apart from this, Innatera Nanosystems BV (Netherlands), General Vision Inc. (US), Applied Brain Research, Inc. (Canada), Numenta (US), Aspinity (US), Natural Intelligence (US), GrAI Matter Labs (France), Prophesee.ai (France), Microchip Technology Inc. (US), MemComputing, Inc. (US), Cognixion (US), Neuropixels (Belgium), SpiNNcloud Systems (Germany), POLYN Technology (Israel), are among a few emerging companies in the neuromorphic computing market.
Research Coverage: This research report categorizes the neuromorphic computing market based on offering, deployment, application, vertical, and region. The report describes the major drivers, restraints, challenges, and opportunities pertaining to the neuromorphic computing market and forecasts the same till 2030. Apart from these, the report also consists of leadership mapping and analysis of all the companies included in the neuromorphic computing ecosystem.
Key Benefits of Buying the Report The report will help the market leaders/new entrants in this market with information on the closest approximations of the revenue numbers for the overall neuromorphic computing market and the subsegments. This report will help stakeholders understand the competitive landscape and gain more insights to position their businesses better and plan suitable go-to-market strategies. The report also helps stakeholders understand the pulse of the market and provides them with information on key market drivers, restraints, challenges, and opportunities.
The report provides insights on the following pointers:
Software segment to exhibit highest CAGR of neuromorphic computing market during forecast period
Software segment is anticipated to hold the highest CAGR in the Neuromorphic computing market, as software allows live data streaming rather than static data, which makes them an attractive market for deep learning. Neuromorphic computing compares and analyses data and generates similar results if the new pattern matches the existing patterns. Similarly, for biometric pattern recognition, using neuromorphic computing has an advantage, as it gives real-time computation of patterns with high speed, accuracy, and low power consumption. The growing demand for edge devices and lot sensors underscores the importance of energy efficiency in computing systems. These applications often involve large numbers of sensors and devices that must operate efficiently with minimal energy consumption, due to their limited power resources and the need for prolonged battery life. According to analysis by IoT Analytics, the number of IoT connections could exceed 29 billion, by 2027, due to growing dependence of various sectors on interconnected devices. These applications involves large number of sensors and devices which needs to operate efficiently along with minimal energy consumption, as they have limited power resources. These requirements are met by neuromorphic computing as it minimizes the energy-intensive data movement between the processing and memory, which was a limitation in traditional von neuman architectures, leading to rise in demand for neuromorphic software.
“Edge segment in deployment is expected to have the highest share during the forecast period.”
Edge segment is expected to hold highest share during the forecast period. Neuromorphic computing on edge can be used in various applications. For instance, IoT devices that connect to the Internet can benefit from running code on the device itself rather than on the cloud for more efficient user interactions. Similarly, autonomous vehicles that need to react in real time, without waiting for instructions from a server, can benefit from neuromorphic computing on edge. Medical monitoring devices that must respond in real time without waiting to hear from a cloud server would also benefit from the rapid response time of neuromorphic computing at the edge. Therefore, the increasing demand for real-time processing, low-latency responses, and energy-efficient solutions across industries like IoT, autonomous vehicles, and medical devices will drive the edge segment to dominate the neuromorphic computing market during the forecast period.
“Image and video processing/computer vision segment to hold the largest share during the forecast period.
Image and video processing/ computer vision holds major share in the neuromorphic computing malret. The rise of smart cities is propelling deployment of surveillance systems, thus increasing the need for real-time image analysis. According to the World Economic Forum, 1.3 million people are moving to cities every week around the globe, and by 2040, 65% of the world's population will live in cities. Today, 60% of the world's GDP comes from the 600 largest cities and these figures can be expected to expand as these cities grow and thrive. It is projected that up to 80% of further growth in developing regions will take place in urban centers. This rapid urbanization is going to lead to a force of requirement in neuromorphic computing concerning image and video processing because cities have no choice but to demand their sophisticated application for dealing with large amounts of visual data in the implementation of applications such as surveillance, traffic management, and infrastructure monitoring for safety and efficiency into crowded and complex environments.
“Market for Consumer electronics segment is projected to hold for largest share during the forecast timeline.”
Consumer electronics will witness a higher share during the forecast period because of its high demand for smart, efficient, and high-performance devices. The Neuromorphic computing sector has immense advantage due to ultra-low power consumption and exceptional processing capabilities, critical to powering the next generation of consumer electronics. One such feature that is still being incorporated with consumer electronics is AI-driven features. The most effective of these are an image and a speech recognition tool. These chips enable devices to process complex tasks locally, reducing reliance on cloud computing and enhancing user privacy and real-time performance. For example, services such as Alexa and Siri that currently rely heavily on cloud computing will directly benefit from deployment of neuromorphic chips. That would make the latency low and make these AI assistants much more efficient.
“North America is expected to hold for largest share during the forecast timeline.”
North America will occupy the largest share during the forecast period due to the presence of prominent technology providers, such as IBM (US) and Intel Corporation (US), Qualcomm
Technologies, Inc. (US), Advanced Micro Devices, Inc. (US), Hewlett Packard Enterprise Development LP (US), OMNIVISION (US), contributes to the market's growth in this region. These firms are researching and developing neuromorphic chips and AI solutions, leading the region into the innovation front in technology. Increased government spending over the years to address concerns over the security of critical infrastructures and sensitive data has resulted in the adoption of neuromorphic chipsets in security applications. High consumerization of personal care products, routine checkup medical tools, and wearable devices is boosting the adoption of neuromorphic computing devices in North America, thereby driving the growth of this market.
Extensive primary interviews were conducted with key industry experts in the neuromorphic computing market space to determine and verify the market size for various segments and subsegments gathered through secondary research. The break-up of primary participants for the report has been shown below: The study contains insights from various industry experts, from component suppliers to Tier 1 companies and OEMs. The break-up of the primaries is as follows:
- By Company Type: Tier 1 – 15%, Tier 2 – 55%, and Tier 3 – 35%
- By Designation: C-level Executives – 45%, Directors – 25%, and Others – 30%
- By Region: North America – 35%, Europe – 30%, Asia Pacific – 25%, and RoW – 10%
The report profiles key players in the neuromorphic computing market with their respective market ranking analysis. Prominent players profiled in this report are Intel Corporation (US), IBM (US), Qualcomm Technologies, Inc. (US), Samsung Electronics Co., Ltd. (South Korea), Sony Corporation (Japan), BrainChip, Inc. (Australia), SynSense (China), MediaTek Inc. (Taiwan), NXP Semiconductors (Netherlands), Advanced Micro Devices, Inc. (US), Hewlett Packard Enterprise Development LP (US), OMNIVISION (US), among others.
Apart from this, Innatera Nanosystems BV (Netherlands), General Vision Inc. (US), Applied Brain Research, Inc. (Canada), Numenta (US), Aspinity (US), Natural Intelligence (US), GrAI Matter Labs (France), Prophesee.ai (France), Microchip Technology Inc. (US), MemComputing, Inc. (US), Cognixion (US), Neuropixels (Belgium), SpiNNcloud Systems (Germany), POLYN Technology (Israel), are among a few emerging companies in the neuromorphic computing market.
Research Coverage: This research report categorizes the neuromorphic computing market based on offering, deployment, application, vertical, and region. The report describes the major drivers, restraints, challenges, and opportunities pertaining to the neuromorphic computing market and forecasts the same till 2030. Apart from these, the report also consists of leadership mapping and analysis of all the companies included in the neuromorphic computing ecosystem.
Key Benefits of Buying the Report The report will help the market leaders/new entrants in this market with information on the closest approximations of the revenue numbers for the overall neuromorphic computing market and the subsegments. This report will help stakeholders understand the competitive landscape and gain more insights to position their businesses better and plan suitable go-to-market strategies. The report also helps stakeholders understand the pulse of the market and provides them with information on key market drivers, restraints, challenges, and opportunities.
The report provides insights on the following pointers:
- Analysis of key drivers (expanding cyber threats; the surge in data generation necessitating robust and scalable security solutions capable of handling large volumes of sensitive information) influencing the growth of the neuromorphic computing market.
- Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the neuromorphic computing market.
- Market Development: Comprehensive information about lucrative markets – the report analysis the neuromorphic computing market across varied regions
- Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in the neuromorphic computing market
- Competitive Assessment: In-depth assessment of market shares, growth strategies, and service offerings of leading players like Intel Corporation (US), IBM (US), Qualcomm Technologies, Inc. (US), Samsung Electronics Co., Ltd. (South Korea), Sony Corporation (Japan), among others in the neuromorphic computing market.
1 INTRODUCTION
1.1 STUDY OBJECTIVES
1.2 MARKET DEFINITION
1.3 STUDY SCOPE
1.3.1 MARKETS COVERED AND REGIONAL SCOPE
1.3.2 INCLUSIONS AND EXCLUSIONS
1.3.3 YEARS CONSIDERED
1.4 CURRENCY CONSIDERED
1.5 UNITS CONSIDERED
1.6 LIMITATIONS
1.7 STAKEHOLDERS
1.8 SUMMARY OF CHANGES
2 RESEARCH METHODOLOGY
2.1 RESEARCH DATA
2.1.1 SECONDARY DATA
2.1.1.1 List of major secondary sources
2.1.1.2 Key data from secondary sources
2.1.2 PRIMARY DATA
2.1.2.1 List of primary interview participants
2.1.2.2 Breakdown of primaries
2.1.2.3 Key data from primary sources
2.1.2.4 Key industry insights
2.1.3 SECONDARY AND PRIMARY RESEARCH
2.2 MARKET SIZE ESTIMATION
2.2.1 BOTTOM-UP APPROACH
2.2.1.1 Approach to estimate market size using bottom-up analysis
(demand side)
2.2.2 TOP-DOWN APPROACH
2.2.2.1 Approach to estimate market size using top-down analysis
(supply side)
2.3 MARKET BREAKDOWN AND DATA TRIANGULATION
2.4 RESEARCH ASSUMPTIONS
2.5 RISK ASSESSMENT
2.6 RESEARCH LIMITATIONS
3 EXECUTIVE SUMMARY
4 PREMIUM INSIGHTS
4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN NEUROMORPHIC COMPUTING MARKET
4.2 NEUROMORPHIC COMPUTING MARKET, BY OFFERING
4.3 NEUROMORPHIC COMPUTING MARKET, BY DEPLOYMENT
4.4 NEUROMORPHIC COMPUTING MARKET, BY APPLICATION
4.5 NEUROMORPHIC COMPUTING MARKET, BY VERTICAL
4.6 NEUROMORPHIC COMPUTING MARKET, BY COUNTRY
4.7 NEUROMORPHIC COMPUTING MARKET, BY REGION
5 MARKET OVERVIEW
5.1 INTRODUCTION
5.2 MARKET DYNAMICS
5.2.1 DRIVERS
5.2.1.1 Rising adoption of neuromorphic hardware
5.2.1.2 Need for alternative approaches to enhance computational power
5.2.1.3 Growing application of AI and ML
5.2.1.4 Increasing demand for real-time data processing and decision-making capabilities
5.2.2 RESTRAINTS
5.2.2.1 Lack of R&D investments
5.2.2.2 Complexity of algorithms
5.2.2.3 Shortage of educational resources and training opportunities
5.2.3 OPPORTUNITIES
5.2.3.1 Ability to withstand harsh conditions of space
5.2.3.2 Increasing adoption in healthcare sector
5.2.3.3 Ability to automate complex decision-making processes in cybersecurity operations
5.2.3.4 Integration of neuroplasticity into neuromorphic computing
5.2.4 CHALLENGES
5.2.4.1 Complications associated with software development
5.2.4.2 Complexities linked with developing computational models
5.3 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
5.4 PRICING ANALYSIS
5.4.1 INDICATIVE PRICING OF KEY PLAYERS, BY OFFERING, 2023
5.4.2 AVERAGE SELLING PRICE TREND, BY REGION, 2020–2023
5.5 VALUE CHAIN ANALYSIS
5.6 ECOSYSTEM ANALYSIS
5.7 INVESTMENT AND FUNDING SCENARIO
5.8 TECHNOLOGY ANALYSIS
5.8.1 KEY TECHNOLOGIES
5.8.1.1 Convolutional neural networks
5.8.1.2 Recurrent neural networks
5.8.1.3 Spiking neural networks
5.8.1.4 Compute hardware
5.8.1.5 IBM TrueNorth
5.8.1.6 BrainChip's Akida
5.8.1.7 Loihi 2
5.8.1.8 Speck
5.8.1.9 DynapCNN
5.8.1.10 Groq northstar
5.8.2 COMPLEMENTARY TECHNOLOGIES
5.8.2.1 Computational neuroscience
5.8.3 ADJACENT TECHNOLOGIES
5.8.3.1 AI and ML
5.9 PATENT ANALYSIS
5.10 TRADE ANALYSIS
5.10.1 IMPORT DATA (HS CODE 854231)
5.10.2 EXPORT DATA (HS CODE 854231)
5.11 KEY CONFERENCES AND EVENTS, 2025–2026
5.12 CASE STUDY ANALYSIS
5.12.1 INTEL LABS OFFERED LAVA NEUROMORPHIC FRAMEWORK TO CONCORDIA UNIVERSITY THAT OPTIMIZED HYPERPARAMETERS FOR LARGE SCALE PROBLEMS
5.12.2 INTEL LABS AND CORNELL UNIVERSITY COLLABORATED TO TRAIN INTEL'S LOIHI NEUROMORPHIC CHIP TO IDENTIFY HAZARDOUS CHEMICALS BASED ON THEIR SCENTS
5.12.3 TU/E AND NORTHWESTERN UNIVERSITY IMPLEMENTED NEUROMORPHIC BIOSENSORS CAPABLE OF ON-CHIP LEARNING THAT IMPROVED EFFICIENCY AND ACCURACY
5.13 REGULATORY LANDSCAPE
5.13.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
5.13.2 REGULATORY STANDARDS
5.14 PORTER’S FIVE FORCES ANALYSIS
5.14.1 THREAT OF NEW ENTRANTS
5.14.2 THREAT OF SUBSTITUTES
5.14.3 BARGAINING POWER OF SUPPLIERS
5.14.4 BARGAINING POWER OF BUYERS
5.14.5 INTENSITY OF COMPETITIVE RIVALRY
5.15 KEY STAKEHOLDERS AND BUYING CRITERIA
5.15.1 KEY STAKEHOLDERS IN BUYING PROCESS
5.15.2 BUYING CRITERIA
6 NEUROMORPHIC COMPUTING MARKET, BY OFFERING
6.1 INTRODUCTION
6.2 PROCESSOR
6.2.1 RISING EMPHASIS ON BOOSTING ADOPTION OF ADAS TECHNOLOGIES TO DRIVE MARKET
6.3 MEMORY
6.3.1 HIGH EFFICIENCY AND LOW POWER CONSUMPTION TO FOSTER MARKET GROWTH
6.4 SENSOR
6.4.1 ABILITY TO DELIVER HIGH TEMPORAL RESOLUTIONS TO ACCELERATE DEMAND
6.5 SOFTWARE
6.5.1 GROWING DEMAND FOR EDGE DEVICES AND IOT SENSORS TO FUEL MARKET GROWTH
7 NEUROMORPHIC COMPUTING MARKET, BY DEPLOYMENT
7.1 INTRODUCTION
7.2 EDGE
7.2.1 ABILITY TO HANDLE REAL-TIME DATA PROCESSING WITH LOW POWER REQUIREMENTS TO DRIVE MARKET
7.3 CLOUD
7.3.1 INCREASING COMPUTATIONAL NEEDS AND EMERGENCE OF CLOUD-NATIVE SOLUTIONS TO FUEL MARKET GROWTH
8 NEUROMORPHIC COMPUTING MARKET, BY APPLICATION
8.1 INTRODUCTION
8.2 IMAGE AND VIDEO PROCESSING/COMPUTER VISION
8.2.1 GROWING EMPHASIS ON DEVELOPING SMART CITIES TO BOOST DEMAND
8.3 NATURAL LANGUAGE PROCESSING (NLP)
8.3.1 INCREASING DEMAND FOR REAL-TIME AND EFFICIENT LANGUAGE PROCESSING TO DRIVE MARKET
8.4 SENSOR FUSION
8.4.1 EXPANDING ROBOTICS INDUSTRY TO OFFER LUCRATIVE GROWTH OPPORTUNITIES
8.5 OTHER APPLICATIONS
9 NEUROMORPHIC COMPUTING MARKET, BY VERTICAL
9.1 INTRODUCTION
9.2 CONSUMER ELECTRONICS
9.2.1 GROWING APPLICATION IN SMART HOMES AND SMARTPHONES TO DRIVE MARKET
9.3 AEROSPACE & DEFENSE
9.3.1 ABILITY TO ENHANCE SITUATIONAL AWARENESS AND TACTICAL DECISION-MAKING CAPABILITY TO FOSTER MARKET GROWTH
9.4 AUTOMOTIVE
9.4.1 INCREASING NEED TO PREVENT VEHICLE ACCIDENTS TO DRIVE MARKET
9.5 INDUSTRIAL
9.5.1 GROWING TREND OF INDUSTRY 4.0 TO ACCELERATE DEMAND
9.6 MEDICAL
9.6.1 RISING NEED FOR EXTENDED BATTERY LIFE IN IMPLANTABLE DEVICES TO BOOST DEMAND
9.7 IT & TELECOMMUNICATION
9.7.1 ROLLOUT OF 5G AND UPCOMING 6G NETWORK TO OFFER LUCRATIVE GROWTH OPPORTUNITIES
9.8 OTHER VERTICALS
10 END USES OF NEUROMORPHIC COMPUTING
10.1 INTRODUCTION
10.2 DRONES AND ROBOTICS
10.3 ADAS AND AUTONOMOUS VEHICLE
10.4 IOT
10.5 BRAIN-COMPUTER INTERFACE
10.6 OTHER END USES
11 NEUROMORPHIC COMPUTING MARKET, BY REGION
11.1 INTRODUCTION
11.2 NORTH AMERICA
11.2.1 MACROECONOMIC OUTLOOK FOR NORTH AMERICA
11.2.2 US
11.2.2.1 Government-led initiatives to boost neuromorphic architecture to drive market
11.2.3 CANADA
11.2.3.1 Rising emphasis on AI research to fuel market growth
11.2.4 MEXICO
11.2.4.1 Surging FDIs to offer lucrative growth opportunities
11.3 EUROPE
11.3.1 MACROECONOMIC OUTLOOK FOR EUROPE
11.3.2 UK
11.3.2.1 Rising emphasis on developing and deploying AI-driven solutions to boost demand
11.3.3 GERMANY
11.3.3.1 Increasing emphasis on digital innovation to drive market
11.3.4 FRANCE
11.3.4.1 Growing demand among high-tech industries to fuel market growth
11.3.5 ITALY
11.3.5.1 Growing emphasis on innovating advanced semiconductor technologies to accelerate demand
11.3.6 SPAIN
11.3.6.1 Presence of strong research institutions and innovation hubs
to drive demand
11.3.7 REST OF EUROPE
11.4 ASIA PACIFIC
11.4.1 MACROECONOMIC OUTLOOK FOR ASIA PACIFIC
11.4.2 CHINA
11.4.2.1 Increasing focus on advancing AI and next-generation computing technologies to foster market growth
11.4.3 JAPAN
11.4.3.1 Increased adoption in robotics and automation systems to spur demand
11.4.4 SOUTH KOREA
11.4.4.1 Increasing focus on developing cutting-edge brain-inspired semiconductor technologies to offer lucrative growth opportunities
11.4.5 INDIA
11.4.5.1 Increasing initiatives to boost semiconductor sector to drive market
11.4.6 REST OF ASIA PACIFIC
11.5 ROW
11.5.1 MACROECONOMIC OUTLOOK FOR ROW
11.5.2 MIDDLE EAST
11.5.2.1 Development of smart cities to drive market
11.5.2.2 GCC countries
11.5.2.3 Rest of Middle East
11.5.3 AFRICA
11.5.3.1 Expanding data center infrastructure to boost demand
11.5.4 SOUTH AMERICA
11.5.4.1 Increasing demand for smart and miniaturized technology solutions to fuel market growth
12 COMPETITIVE LANDSCAPE
12.1 OVERVIEW
12.2 KEY PLAYER STRATEGIES/RIGHT TO WIN, 2020–2024
12.3 REVENUE ANALYSIS, 2021–2023
12.4 MARKET SHARE ANALYSIS, 2023
12.5 COMPANY VALUATION AND FINANCIAL METRICS, 2024
12.6 BRAND/PRODUCT COMPARISON
12.7 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2023
12.7.1 STARS
12.7.2 EMERGING LEADERS
12.7.3 PERVASIVE PLAYERS
12.7.4 PARTICIPANTS
12.7.5 COMPANY FOOTPRINT: KEY PLAYERS, 2023
12.7.5.1 Company footprint
12.7.5.2 Region footprint
12.7.5.3 Offering footprint
12.7.5.4 Deployment footprint
12.7.5.5 Application footprint
12.7.5.6 Vertical footprint
12.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2023
12.8.1 PROGRESSIVE COMPANIES
12.8.2 RESPONSIVE COMPANIES
12.8.3 DYNAMIC COMPANIES
12.8.4 STARTING BLOCKS
12.8.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2023
12.8.5.1 Detailed list of key startups/SMEs
12.8.5.2 Competitive benchmarking of key startups/SMEs
12.9 COMPETITIVE SCENARIO
12.9.1 PRODUCT LAUNCHES
12.9.2 DEALS
12.9.3 OTHER DEVELOPMENTS
13 COMPANY PROFILES
13.1 KEY PLAYERS
13.1.1 INTEL CORPORATION
13.1.1.1 Business overview
13.1.1.2 Products/Solutions/Services offered
13.1.1.3 Recent developments
13.1.1.3.1 Product launches
13.1.1.3.2 Deals
13.1.1.4 MnM view
13.1.1.4.1 Key strengths/Right to win
13.1.1.4.2 Strategic choices
13.1.1.4.3 Weaknesses/Competitive threats
13.1.2 IBM
13.1.2.1 Business overview
13.1.2.2 Products/Solutions/Services offered
13.1.2.3 Recent developments
13.1.2.3.1 Product launches
13.1.2.3.2 Deals
13.1.2.4 MnM view
13.1.2.4.1 Key strengths/Right to win
13.1.2.4.2 Strategic choices
13.1.2.4.3 Weaknesses/Competitive threats
13.1.3 QUALCOMM TECHNOLOGIES, INC.
13.1.3.1 Business overview
13.1.3.2 Products/Solutions/Services offered
13.1.3.3 Recent developments
13.1.3.3.1 Deals
13.1.3.3.2 Other developments
13.1.3.4 MnM view
13.1.3.4.1 Key strengths/Right to win
13.1.3.4.2 Strategic choices
13.1.3.4.3 Weaknesses/Competitive threats
13.1.4 SAMSUNG ELECTRONICS CO., LTD.
13.1.4.1 Business overview
13.1.4.2 Products/Solutions/Services offered
13.1.4.3 Recent developments
13.1.4.3.1 Product launches
13.1.4.3.2 Deals
13.1.4.4 MnM view
13.1.4.4.1 Key strengths/Right to win
13.1.4.4.2 Strategic choices
13.1.4.4.3 Weaknesses/Competitive threats
13.1.5 SONY CORPORATION
13.1.5.1 Business overview
13.1.5.2 Products/Solutions/Services offered
13.1.5.3 MnM view
13.1.5.3.1 Key strengths/Right to win
13.1.5.3.2 Strategic choices
13.1.5.3.3 Weaknesses/Competitive threats
13.1.6 BRAINCHIP, INC.
13.1.6.1 Business overview
13.1.6.2 Products/Solutions/Services offered
13.1.6.3 Recent developments
13.1.6.3.1 Product launches
13.1.6.3.2 Deals
13.1.6.3.3 Other developments
13.1.7 SYNSENSE
13.1.7.1 Business overview
13.1.7.2 Products/Solutions/Services offered
13.1.7.3 Recent developments
13.1.7.3.1 Product launches
13.1.7.3.2 Deals
13.1.8 MEDIATEK INC.
13.1.8.1 Business overview
13.1.8.2 Products/Solutions/Services offered
13.1.9 NXP SEMICONDUCTORS
13.1.9.1 Business overview
13.1.9.2 Products/Solutions/Services offered
13.1.9.3 Recent developments
13.1.9.3.1 Product launches
13.1.9.3.2 Deals
13.1.10 ADVANCED MICRO DEVICES, INC.
13.1.10.1 Business overview
13.1.10.2 Products/Solutions/Services offered
13.1.10.3 Recent developments
13.1.10.3.1 Product launches
13.1.10.3.2 Deals
13.1.11 HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
13.1.11.1 Business overview
13.1.11.2 Products/Solutions/Services offered
13.1.11.3 Recent developments
13.1.11.3.1 Product launches
13.1.11.3.2 Deals
13.1.12 OMNIVISION
13.1.12.1 Business overview
13.1.12.2 Products/Solutions/Services offered
13.1.12.3 Recent developments
13.1.12.3.1 Product launches
13.1.12.3.2 Deals
13.2 OTHER PLAYERS
13.2.1 INNATERA NANOSYSTEMS BV
13.2.2 GENERAL VISION INC.
13.2.3 APPLIED BRAIN RESEARCH, INC.
13.2.4 NUMENTA
13.2.5 ASPINITY
13.2.6 NATURAL INTELLIGENCE
13.2.7 GRAI MATTER LABS
13.2.8 PROPHESEE.AI
13.2.9 MICROCHIP TECHNOLOGY INC.
13.2.10 MEMCOMPUTING, INC.
13.2.11 COGNIXION
13.2.12 NEUROPIXELS
13.2.13 SPINNCLOUD SYSTEMS
13.2.14 POLYN TECHNOLOGY
14 APPENDIX
14.1 DISCUSSION GUIDE
14.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
14.3 CUSTOMIZATION OPTIONS
14.4 RELATED REPORTS
14.5 AUTHOR DETAILS
1.1 STUDY OBJECTIVES
1.2 MARKET DEFINITION
1.3 STUDY SCOPE
1.3.1 MARKETS COVERED AND REGIONAL SCOPE
1.3.2 INCLUSIONS AND EXCLUSIONS
1.3.3 YEARS CONSIDERED
1.4 CURRENCY CONSIDERED
1.5 UNITS CONSIDERED
1.6 LIMITATIONS
1.7 STAKEHOLDERS
1.8 SUMMARY OF CHANGES
2 RESEARCH METHODOLOGY
2.1 RESEARCH DATA
2.1.1 SECONDARY DATA
2.1.1.1 List of major secondary sources
2.1.1.2 Key data from secondary sources
2.1.2 PRIMARY DATA
2.1.2.1 List of primary interview participants
2.1.2.2 Breakdown of primaries
2.1.2.3 Key data from primary sources
2.1.2.4 Key industry insights
2.1.3 SECONDARY AND PRIMARY RESEARCH
2.2 MARKET SIZE ESTIMATION
2.2.1 BOTTOM-UP APPROACH
2.2.1.1 Approach to estimate market size using bottom-up analysis
(demand side)
2.2.2 TOP-DOWN APPROACH
2.2.2.1 Approach to estimate market size using top-down analysis
(supply side)
2.3 MARKET BREAKDOWN AND DATA TRIANGULATION
2.4 RESEARCH ASSUMPTIONS
2.5 RISK ASSESSMENT
2.6 RESEARCH LIMITATIONS
3 EXECUTIVE SUMMARY
4 PREMIUM INSIGHTS
4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN NEUROMORPHIC COMPUTING MARKET
4.2 NEUROMORPHIC COMPUTING MARKET, BY OFFERING
4.3 NEUROMORPHIC COMPUTING MARKET, BY DEPLOYMENT
4.4 NEUROMORPHIC COMPUTING MARKET, BY APPLICATION
4.5 NEUROMORPHIC COMPUTING MARKET, BY VERTICAL
4.6 NEUROMORPHIC COMPUTING MARKET, BY COUNTRY
4.7 NEUROMORPHIC COMPUTING MARKET, BY REGION
5 MARKET OVERVIEW
5.1 INTRODUCTION
5.2 MARKET DYNAMICS
5.2.1 DRIVERS
5.2.1.1 Rising adoption of neuromorphic hardware
5.2.1.2 Need for alternative approaches to enhance computational power
5.2.1.3 Growing application of AI and ML
5.2.1.4 Increasing demand for real-time data processing and decision-making capabilities
5.2.2 RESTRAINTS
5.2.2.1 Lack of R&D investments
5.2.2.2 Complexity of algorithms
5.2.2.3 Shortage of educational resources and training opportunities
5.2.3 OPPORTUNITIES
5.2.3.1 Ability to withstand harsh conditions of space
5.2.3.2 Increasing adoption in healthcare sector
5.2.3.3 Ability to automate complex decision-making processes in cybersecurity operations
5.2.3.4 Integration of neuroplasticity into neuromorphic computing
5.2.4 CHALLENGES
5.2.4.1 Complications associated with software development
5.2.4.2 Complexities linked with developing computational models
5.3 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
5.4 PRICING ANALYSIS
5.4.1 INDICATIVE PRICING OF KEY PLAYERS, BY OFFERING, 2023
5.4.2 AVERAGE SELLING PRICE TREND, BY REGION, 2020–2023
5.5 VALUE CHAIN ANALYSIS
5.6 ECOSYSTEM ANALYSIS
5.7 INVESTMENT AND FUNDING SCENARIO
5.8 TECHNOLOGY ANALYSIS
5.8.1 KEY TECHNOLOGIES
5.8.1.1 Convolutional neural networks
5.8.1.2 Recurrent neural networks
5.8.1.3 Spiking neural networks
5.8.1.4 Compute hardware
5.8.1.5 IBM TrueNorth
5.8.1.6 BrainChip's Akida
5.8.1.7 Loihi 2
5.8.1.8 Speck
5.8.1.9 DynapCNN
5.8.1.10 Groq northstar
5.8.2 COMPLEMENTARY TECHNOLOGIES
5.8.2.1 Computational neuroscience
5.8.3 ADJACENT TECHNOLOGIES
5.8.3.1 AI and ML
5.9 PATENT ANALYSIS
5.10 TRADE ANALYSIS
5.10.1 IMPORT DATA (HS CODE 854231)
5.10.2 EXPORT DATA (HS CODE 854231)
5.11 KEY CONFERENCES AND EVENTS, 2025–2026
5.12 CASE STUDY ANALYSIS
5.12.1 INTEL LABS OFFERED LAVA NEUROMORPHIC FRAMEWORK TO CONCORDIA UNIVERSITY THAT OPTIMIZED HYPERPARAMETERS FOR LARGE SCALE PROBLEMS
5.12.2 INTEL LABS AND CORNELL UNIVERSITY COLLABORATED TO TRAIN INTEL'S LOIHI NEUROMORPHIC CHIP TO IDENTIFY HAZARDOUS CHEMICALS BASED ON THEIR SCENTS
5.12.3 TU/E AND NORTHWESTERN UNIVERSITY IMPLEMENTED NEUROMORPHIC BIOSENSORS CAPABLE OF ON-CHIP LEARNING THAT IMPROVED EFFICIENCY AND ACCURACY
5.13 REGULATORY LANDSCAPE
5.13.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
5.13.2 REGULATORY STANDARDS
5.14 PORTER’S FIVE FORCES ANALYSIS
5.14.1 THREAT OF NEW ENTRANTS
5.14.2 THREAT OF SUBSTITUTES
5.14.3 BARGAINING POWER OF SUPPLIERS
5.14.4 BARGAINING POWER OF BUYERS
5.14.5 INTENSITY OF COMPETITIVE RIVALRY
5.15 KEY STAKEHOLDERS AND BUYING CRITERIA
5.15.1 KEY STAKEHOLDERS IN BUYING PROCESS
5.15.2 BUYING CRITERIA
6 NEUROMORPHIC COMPUTING MARKET, BY OFFERING
6.1 INTRODUCTION
6.2 PROCESSOR
6.2.1 RISING EMPHASIS ON BOOSTING ADOPTION OF ADAS TECHNOLOGIES TO DRIVE MARKET
6.3 MEMORY
6.3.1 HIGH EFFICIENCY AND LOW POWER CONSUMPTION TO FOSTER MARKET GROWTH
6.4 SENSOR
6.4.1 ABILITY TO DELIVER HIGH TEMPORAL RESOLUTIONS TO ACCELERATE DEMAND
6.5 SOFTWARE
6.5.1 GROWING DEMAND FOR EDGE DEVICES AND IOT SENSORS TO FUEL MARKET GROWTH
7 NEUROMORPHIC COMPUTING MARKET, BY DEPLOYMENT
7.1 INTRODUCTION
7.2 EDGE
7.2.1 ABILITY TO HANDLE REAL-TIME DATA PROCESSING WITH LOW POWER REQUIREMENTS TO DRIVE MARKET
7.3 CLOUD
7.3.1 INCREASING COMPUTATIONAL NEEDS AND EMERGENCE OF CLOUD-NATIVE SOLUTIONS TO FUEL MARKET GROWTH
8 NEUROMORPHIC COMPUTING MARKET, BY APPLICATION
8.1 INTRODUCTION
8.2 IMAGE AND VIDEO PROCESSING/COMPUTER VISION
8.2.1 GROWING EMPHASIS ON DEVELOPING SMART CITIES TO BOOST DEMAND
8.3 NATURAL LANGUAGE PROCESSING (NLP)
8.3.1 INCREASING DEMAND FOR REAL-TIME AND EFFICIENT LANGUAGE PROCESSING TO DRIVE MARKET
8.4 SENSOR FUSION
8.4.1 EXPANDING ROBOTICS INDUSTRY TO OFFER LUCRATIVE GROWTH OPPORTUNITIES
8.5 OTHER APPLICATIONS
9 NEUROMORPHIC COMPUTING MARKET, BY VERTICAL
9.1 INTRODUCTION
9.2 CONSUMER ELECTRONICS
9.2.1 GROWING APPLICATION IN SMART HOMES AND SMARTPHONES TO DRIVE MARKET
9.3 AEROSPACE & DEFENSE
9.3.1 ABILITY TO ENHANCE SITUATIONAL AWARENESS AND TACTICAL DECISION-MAKING CAPABILITY TO FOSTER MARKET GROWTH
9.4 AUTOMOTIVE
9.4.1 INCREASING NEED TO PREVENT VEHICLE ACCIDENTS TO DRIVE MARKET
9.5 INDUSTRIAL
9.5.1 GROWING TREND OF INDUSTRY 4.0 TO ACCELERATE DEMAND
9.6 MEDICAL
9.6.1 RISING NEED FOR EXTENDED BATTERY LIFE IN IMPLANTABLE DEVICES TO BOOST DEMAND
9.7 IT & TELECOMMUNICATION
9.7.1 ROLLOUT OF 5G AND UPCOMING 6G NETWORK TO OFFER LUCRATIVE GROWTH OPPORTUNITIES
9.8 OTHER VERTICALS
10 END USES OF NEUROMORPHIC COMPUTING
10.1 INTRODUCTION
10.2 DRONES AND ROBOTICS
10.3 ADAS AND AUTONOMOUS VEHICLE
10.4 IOT
10.5 BRAIN-COMPUTER INTERFACE
10.6 OTHER END USES
11 NEUROMORPHIC COMPUTING MARKET, BY REGION
11.1 INTRODUCTION
11.2 NORTH AMERICA
11.2.1 MACROECONOMIC OUTLOOK FOR NORTH AMERICA
11.2.2 US
11.2.2.1 Government-led initiatives to boost neuromorphic architecture to drive market
11.2.3 CANADA
11.2.3.1 Rising emphasis on AI research to fuel market growth
11.2.4 MEXICO
11.2.4.1 Surging FDIs to offer lucrative growth opportunities
11.3 EUROPE
11.3.1 MACROECONOMIC OUTLOOK FOR EUROPE
11.3.2 UK
11.3.2.1 Rising emphasis on developing and deploying AI-driven solutions to boost demand
11.3.3 GERMANY
11.3.3.1 Increasing emphasis on digital innovation to drive market
11.3.4 FRANCE
11.3.4.1 Growing demand among high-tech industries to fuel market growth
11.3.5 ITALY
11.3.5.1 Growing emphasis on innovating advanced semiconductor technologies to accelerate demand
11.3.6 SPAIN
11.3.6.1 Presence of strong research institutions and innovation hubs
to drive demand
11.3.7 REST OF EUROPE
11.4 ASIA PACIFIC
11.4.1 MACROECONOMIC OUTLOOK FOR ASIA PACIFIC
11.4.2 CHINA
11.4.2.1 Increasing focus on advancing AI and next-generation computing technologies to foster market growth
11.4.3 JAPAN
11.4.3.1 Increased adoption in robotics and automation systems to spur demand
11.4.4 SOUTH KOREA
11.4.4.1 Increasing focus on developing cutting-edge brain-inspired semiconductor technologies to offer lucrative growth opportunities
11.4.5 INDIA
11.4.5.1 Increasing initiatives to boost semiconductor sector to drive market
11.4.6 REST OF ASIA PACIFIC
11.5 ROW
11.5.1 MACROECONOMIC OUTLOOK FOR ROW
11.5.2 MIDDLE EAST
11.5.2.1 Development of smart cities to drive market
11.5.2.2 GCC countries
11.5.2.3 Rest of Middle East
11.5.3 AFRICA
11.5.3.1 Expanding data center infrastructure to boost demand
11.5.4 SOUTH AMERICA
11.5.4.1 Increasing demand for smart and miniaturized technology solutions to fuel market growth
12 COMPETITIVE LANDSCAPE
12.1 OVERVIEW
12.2 KEY PLAYER STRATEGIES/RIGHT TO WIN, 2020–2024
12.3 REVENUE ANALYSIS, 2021–2023
12.4 MARKET SHARE ANALYSIS, 2023
12.5 COMPANY VALUATION AND FINANCIAL METRICS, 2024
12.6 BRAND/PRODUCT COMPARISON
12.7 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2023
12.7.1 STARS
12.7.2 EMERGING LEADERS
12.7.3 PERVASIVE PLAYERS
12.7.4 PARTICIPANTS
12.7.5 COMPANY FOOTPRINT: KEY PLAYERS, 2023
12.7.5.1 Company footprint
12.7.5.2 Region footprint
12.7.5.3 Offering footprint
12.7.5.4 Deployment footprint
12.7.5.5 Application footprint
12.7.5.6 Vertical footprint
12.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2023
12.8.1 PROGRESSIVE COMPANIES
12.8.2 RESPONSIVE COMPANIES
12.8.3 DYNAMIC COMPANIES
12.8.4 STARTING BLOCKS
12.8.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2023
12.8.5.1 Detailed list of key startups/SMEs
12.8.5.2 Competitive benchmarking of key startups/SMEs
12.9 COMPETITIVE SCENARIO
12.9.1 PRODUCT LAUNCHES
12.9.2 DEALS
12.9.3 OTHER DEVELOPMENTS
13 COMPANY PROFILES
13.1 KEY PLAYERS
13.1.1 INTEL CORPORATION
13.1.1.1 Business overview
13.1.1.2 Products/Solutions/Services offered
13.1.1.3 Recent developments
13.1.1.3.1 Product launches
13.1.1.3.2 Deals
13.1.1.4 MnM view
13.1.1.4.1 Key strengths/Right to win
13.1.1.4.2 Strategic choices
13.1.1.4.3 Weaknesses/Competitive threats
13.1.2 IBM
13.1.2.1 Business overview
13.1.2.2 Products/Solutions/Services offered
13.1.2.3 Recent developments
13.1.2.3.1 Product launches
13.1.2.3.2 Deals
13.1.2.4 MnM view
13.1.2.4.1 Key strengths/Right to win
13.1.2.4.2 Strategic choices
13.1.2.4.3 Weaknesses/Competitive threats
13.1.3 QUALCOMM TECHNOLOGIES, INC.
13.1.3.1 Business overview
13.1.3.2 Products/Solutions/Services offered
13.1.3.3 Recent developments
13.1.3.3.1 Deals
13.1.3.3.2 Other developments
13.1.3.4 MnM view
13.1.3.4.1 Key strengths/Right to win
13.1.3.4.2 Strategic choices
13.1.3.4.3 Weaknesses/Competitive threats
13.1.4 SAMSUNG ELECTRONICS CO., LTD.
13.1.4.1 Business overview
13.1.4.2 Products/Solutions/Services offered
13.1.4.3 Recent developments
13.1.4.3.1 Product launches
13.1.4.3.2 Deals
13.1.4.4 MnM view
13.1.4.4.1 Key strengths/Right to win
13.1.4.4.2 Strategic choices
13.1.4.4.3 Weaknesses/Competitive threats
13.1.5 SONY CORPORATION
13.1.5.1 Business overview
13.1.5.2 Products/Solutions/Services offered
13.1.5.3 MnM view
13.1.5.3.1 Key strengths/Right to win
13.1.5.3.2 Strategic choices
13.1.5.3.3 Weaknesses/Competitive threats
13.1.6 BRAINCHIP, INC.
13.1.6.1 Business overview
13.1.6.2 Products/Solutions/Services offered
13.1.6.3 Recent developments
13.1.6.3.1 Product launches
13.1.6.3.2 Deals
13.1.6.3.3 Other developments
13.1.7 SYNSENSE
13.1.7.1 Business overview
13.1.7.2 Products/Solutions/Services offered
13.1.7.3 Recent developments
13.1.7.3.1 Product launches
13.1.7.3.2 Deals
13.1.8 MEDIATEK INC.
13.1.8.1 Business overview
13.1.8.2 Products/Solutions/Services offered
13.1.9 NXP SEMICONDUCTORS
13.1.9.1 Business overview
13.1.9.2 Products/Solutions/Services offered
13.1.9.3 Recent developments
13.1.9.3.1 Product launches
13.1.9.3.2 Deals
13.1.10 ADVANCED MICRO DEVICES, INC.
13.1.10.1 Business overview
13.1.10.2 Products/Solutions/Services offered
13.1.10.3 Recent developments
13.1.10.3.1 Product launches
13.1.10.3.2 Deals
13.1.11 HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
13.1.11.1 Business overview
13.1.11.2 Products/Solutions/Services offered
13.1.11.3 Recent developments
13.1.11.3.1 Product launches
13.1.11.3.2 Deals
13.1.12 OMNIVISION
13.1.12.1 Business overview
13.1.12.2 Products/Solutions/Services offered
13.1.12.3 Recent developments
13.1.12.3.1 Product launches
13.1.12.3.2 Deals
13.2 OTHER PLAYERS
13.2.1 INNATERA NANOSYSTEMS BV
13.2.2 GENERAL VISION INC.
13.2.3 APPLIED BRAIN RESEARCH, INC.
13.2.4 NUMENTA
13.2.5 ASPINITY
13.2.6 NATURAL INTELLIGENCE
13.2.7 GRAI MATTER LABS
13.2.8 PROPHESEE.AI
13.2.9 MICROCHIP TECHNOLOGY INC.
13.2.10 MEMCOMPUTING, INC.
13.2.11 COGNIXION
13.2.12 NEUROPIXELS
13.2.13 SPINNCLOUD SYSTEMS
13.2.14 POLYN TECHNOLOGY
14 APPENDIX
14.1 DISCUSSION GUIDE
14.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
14.3 CUSTOMIZATION OPTIONS
14.4 RELATED REPORTS
14.5 AUTHOR DETAILS
