Summary

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:
• 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.

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Table of Contents

1 INTRODUCTION 23
1.1 STUDY OBJECTIVES 23
1.2 MARKET DEFINITION 23
1.3 STUDY SCOPE 24
1.3.1 MARKETS COVERED AND REGIONAL SCOPE 24
1.3.2 INCLUSIONS AND EXCLUSIONS 25
1.3.3 YEARS CONSIDERED 25
1.4 CURRENCY CONSIDERED 26
1.5 UNITS CONSIDERED 26
1.6 LIMITATIONS 26
1.7 STAKEHOLDERS 27
1.8 SUMMARY OF CHANGES 27
2 RESEARCH METHODOLOGY 28
2.1 RESEARCH DATA 28
2.1.1 SECONDARY DATA 29
2.1.1.1 List of major secondary sources 29
2.1.1.2 Key data from secondary sources 30
2.1.2 PRIMARY DATA 30
2.1.2.1 List of primary interview participants 31
2.1.2.2 Breakdown of primaries 31
2.1.2.3 Key data from primary sources 32
2.1.2.4 Key industry insights 33
2.1.3 SECONDARY AND PRIMARY RESEARCH 34
2.2 MARKET SIZE ESTIMATION 35
2.2.1 BOTTOM-UP APPROACH 37
2.2.1.1 Approach to estimate market size using bottom-up analysis
(demand side) 37
2.2.2 TOP-DOWN APPROACH 38
2.2.2.1 Approach to estimate market size using top-down analysis
(supply side) 38
2.3 MARKET BREAKDOWN AND DATA TRIANGULATION 39
2.4 RESEARCH ASSUMPTIONS 40
2.5 RISK ASSESSMENT 41
2.6 RESEARCH LIMITATIONS 41
3 EXECUTIVE SUMMARY 42
 
4 PREMIUM INSIGHTS 46
4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN NEUROMORPHIC COMPUTING MARKET 46
4.2 NEUROMORPHIC COMPUTING MARKET, BY OFFERING 46
4.3 NEUROMORPHIC COMPUTING MARKET, BY DEPLOYMENT 47
4.4 NEUROMORPHIC COMPUTING MARKET, BY APPLICATION 47
4.5 NEUROMORPHIC COMPUTING MARKET, BY VERTICAL 48
4.6 NEUROMORPHIC COMPUTING MARKET, BY COUNTRY 48
4.7 NEUROMORPHIC COMPUTING MARKET, BY REGION 49
5 MARKET OVERVIEW 50
5.1 INTRODUCTION 50
5.2 MARKET DYNAMICS 51
5.2.1 DRIVERS 51
5.2.1.1 Rising adoption of neuromorphic hardware 51
5.2.1.2 Need for alternative approaches to enhance computational power 52
5.2.1.3 Growing application of AI and ML 53
5.2.1.4 Increasing demand for real-time data processing and decision-making capabilities 53
5.2.2 RESTRAINTS 55
5.2.2.1 Lack of R&D investments 55
5.2.2.2 Complexity of algorithms 55
5.2.2.3 Shortage of educational resources and training opportunities 56
5.2.3 OPPORTUNITIES 57
5.2.3.1 Ability to withstand harsh conditions of space 57
5.2.3.2 Increasing adoption in healthcare sector 57
5.2.3.3 Ability to automate complex decision-making processes in cybersecurity operations 58
5.2.3.4 Integration of neuroplasticity into neuromorphic computing 59
5.2.4 CHALLENGES 60
5.2.4.1 Complications associated with software development 60
5.2.4.2 Complexities linked with developing computational models 60
5.3 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS 61
5.4 PRICING ANALYSIS 62
5.4.1 INDICATIVE PRICING OF KEY PLAYERS, BY OFFERING, 2023 62
5.4.2 AVERAGE SELLING PRICE TREND, BY REGION, 2020–2023 64
5.5 VALUE CHAIN ANALYSIS 67
5.6 ECOSYSTEM ANALYSIS 69
5.7 INVESTMENT AND FUNDING SCENARIO 70
5.8 TECHNOLOGY ANALYSIS 70
5.8.1 KEY TECHNOLOGIES 70
5.8.1.1 Convolutional neural networks 71
5.8.1.2 Recurrent neural networks 71
5.8.1.3 Spiking neural networks 71
5.8.1.4 Compute hardware 72
5.8.1.5 IBM TrueNorth 72
5.8.1.6 BrainChip's Akida 72
5.8.1.7 Loihi 2 73
5.8.1.8 Speck 73
5.8.1.9 DynapCNN 73
5.8.1.10 Groq northstar 73
5.8.2 COMPLEMENTARY TECHNOLOGIES 74
5.8.2.1 Computational neuroscience 74
5.8.3 ADJACENT TECHNOLOGIES 74
5.8.3.1 AI and ML 74
5.9 PATENT ANALYSIS 75
5.10 TRADE ANALYSIS 80
5.10.1 IMPORT DATA (HS CODE 854231) 80
5.10.2 EXPORT DATA (HS CODE 854231) 81
5.11 KEY CONFERENCES AND EVENTS, 2024–2025 82
5.12 CASE STUDY ANALYSIS 84
5.12.1 INTEL LABS OFFERED LAVA NEUROMORPHIC FRAMEWORK TO CONCORDIA UNIVERSITY THAT OPTIMIZED HYPERPARAMETERS FOR LARGE SCALE PROBLEMS 84
5.12.2 INTEL LABS AND CORNELL UNIVERSITY COLLABORATED TO TRAIN INTEL'S LOIHI NEUROMORPHIC CHIP TO IDENTIFY HAZARDOUS CHEMICALS BASED ON THEIR SCENTS 84
5.12.3 TU/E AND NORTHWESTERN UNIVERSITY IMPLEMENTED NEUROMORPHIC BIOSENSORS CAPABLE OF ON-CHIP LEARNING THAT IMPROVED EFFICIENCY AND ACCURACY 85
5.13 REGULATORY LANDSCAPE 85
5.13.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 85
5.13.2 REGULATORY STANDARDS 89
5.14 PORTER’S FIVE FORCES ANALYSIS 92
5.14.1 THREAT OF NEW ENTRANTS 93
5.14.2 THREAT OF SUBSTITUTES 93
5.14.3 BARGAINING POWER OF SUPPLIERS 93
5.14.4 BARGAINING POWER OF BUYERS 93
5.14.5 INTENSITY OF COMPETITIVE RIVALRY 93
5.15 KEY STAKEHOLDERS AND BUYING CRITERIA 94
5.15.1 KEY STAKEHOLDERS IN BUYING PROCESS 94
5.15.2 BUYING CRITERIA 95
 
6 NEUROMORPHIC COMPUTING MARKET, BY OFFERING 96
6.1 INTRODUCTION 97
6.2 PROCESSOR 98
6.2.1 RISING EMPHASIS ON BOOSTING ADOPTION OF ADAS TECHNOLOGIES TO DRIVE MARKET 98
6.3 MEMORY 100
6.3.1 HIGH EFFICIENCY AND LOW POWER CONSUMPTION TO FOSTER MARKET GROWTH 100
6.4 SENSOR 102
6.4.1 ABILITY TO DELIVER HIGH TEMPORAL RESOLUTIONS TO ACCELERATE DEMAND 102
6.5 SOFTWARE 104
6.5.1 GROWING DEMAND FOR EDGE DEVICES AND IOT SENSORS TO FUEL MARKET GROWTH 104
7 NEUROMORPHIC COMPUTING MARKET, BY DEPLOYMENT 107
7.1 INTRODUCTION 108
7.2 EDGE 109
7.2.1 ABILITY TO HANDLE REAL-TIME DATA PROCESSING WITH LOW POWER REQUIREMENTS TO DRIVE MARKET 109
7.3 CLOUD 111
7.3.1 INCREASING COMPUTATIONAL NEEDS AND EMERGENCE OF CLOUD-NATIVE SOLUTIONS TO FUEL MARKET GROWTH 111
8 NEUROMORPHIC COMPUTING MARKET, BY APPLICATION 112
8.1 INTRODUCTION 113
8.2 IMAGE AND VIDEO PROCESSING/COMPUTER VISION 114
8.2.1 GROWING EMPHASIS ON DEVELOPING SMART CITIES TO BOOST DEMAND 114
8.3 NATURAL LANGUAGE PROCESSING (NLP) 116
8.3.1 INCREASING DEMAND FOR REAL-TIME AND EFFICIENT LANGUAGE PROCESSING TO DRIVE MARKET 116
8.4 SENSOR FUSION 118
8.4.1 EXPANDING ROBOTICS INDUSTRY TO OFFER LUCRATIVE GROWTH OPPORTUNITIES 118
8.5 OTHER APPLICATIONS 120
9 NEUROMORPHIC COMPUTING MARKET, BY VERTICAL 122
9.1 INTRODUCTION 123
9.2 CONSUMER ELECTRONICS 124
9.2.1 GROWING APPLICATION IN SMART HOMES AND SMARTPHONES TO DRIVE MARKET 124
9.3 AEROSPACE & DEFENSE 127
9.3.1 ABILITY TO ENHANCE SITUATIONAL AWARENESS AND TACTICAL DECISION-MAKING CAPABILITY TO FOSTER MARKET GROWTH 127
 
9.4 AUTOMOTIVE 129
9.4.1 INCREASING NEED TO PREVENT VEHICLE ACCIDENTS TO DRIVE MARKET 129
9.5 INDUSTRIAL 130
9.5.1 GROWING TREND OF INDUSTRY 4.0 TO ACCELERATE DEMAND 130
9.6 MEDICAL 132
9.6.1 RISING NEED FOR EXTENDED BATTERY LIFE IN IMPLANTABLE DEVICES TO BOOST DEMAND 132
9.7 IT & TELECOMMUNICATION 133
9.7.1 ROLLOUT OF 5G AND UPCOMING 6G NETWORK TO OFFER LUCRATIVE GROWTH OPPORTUNITIES 133
9.8 OTHER VERTICALS 135
10 END USES OF NEUROMORPHIC COMPUTING 137
10.1 INTRODUCTION 137
10.2 DRONES AND ROBOTICS 137
10.3 ADAS AND AUTONOMOUS VEHICLE 138
10.4 IOT 138
10.5 BRAIN-COMPUTER INTERFACE 139
10.6 OTHER END USES 140
11 NEUROMORPHIC COMPUTING MARKET, BY REGION 141
11.1 INTRODUCTION 142
11.2 NORTH AMERICA 143
11.2.1 MACROECONOMIC OUTLOOK FOR NORTH AMERICA 143
11.2.2 US 147
11.2.2.1 Government-led initiatives to boost neuromorphic architecture to drive market 147
11.2.3 CANADA 147
11.2.3.1 Rising emphasis on AI research to fuel market growth 147
11.2.4 MEXICO 148
11.2.4.1 Surging FDIs to offer lucrative growth opportunities 148
11.3 EUROPE 149
11.3.1 MACROECONOMIC OUTLOOK FOR EUROPE 149
11.3.2 UK 153
11.3.2.1 Rising emphasis on developing and deploying AI-driven solutions to boost demand 153
11.3.3 GERMANY 153
11.3.3.1 Increasing emphasis on digital innovation to drive market 153
11.3.4 FRANCE 154
11.3.4.1 Growing demand among high-tech industries to fuel market growth 154
11.3.5 ITALY 154
11.3.5.1 Growing emphasis on innovating advanced semiconductor technologies to accelerate demand 154
 
11.3.6 SPAIN 155
11.3.6.1 Presence of strong research institutions and innovation hubs to drive demand 155
11.3.7 REST OF EUROPE 155
11.4 ASIA PACIFIC 156
11.4.1 MACROECONOMIC OUTLOOK FOR ASIA PACIFIC 156
11.4.2 CHINA 160
11.4.2.1 Increasing focus on advancing AI and next-generation computing technologies to foster market growth 160
11.4.3 JAPAN 160
11.4.3.1 Increased adoption in robotics and automation systems to spur demand 160
11.4.4 SOUTH KOREA 161
11.4.4.1 Increasing focus on developing cutting-edge brain-inspired semiconductor technologies to offer lucrative growth opportunities 161
11.4.5 INDIA 162
11.4.5.1 Increasing initiatives to boost semiconductor sector to drive market 162
11.4.6 REST OF ASIA PACIFIC 162
11.5 ROW 163
11.5.1 MACROECONOMIC OUTLOOK FOR ROW 163
11.5.2 MIDDLE EAST 166
11.5.2.1 Development of smart cities to drive market 166
11.5.2.2 GCC countries 167
11.5.2.3 Rest of Middle East 168
11.5.3 AFRICA 168
11.5.3.1 Expanding data center infrastructure to boost demand 168
11.5.4 SOUTH AMERICA 169
11.5.4.1 Increasing demand for smart and miniaturized technology solutions to fuel market growth 169
12 COMPETITIVE LANDSCAPE 170
12.1 OVERVIEW 170
12.2 KEY PLAYER STRATEGIES/RIGHT TO WIN, 2020–2024 170
12.3 REVENUE ANALYSIS, 2019–2023 172
12.4 MARKET SHARE ANALYSIS, 2023 173
12.5 COMPANY VALUATION AND FINANCIAL METRICS, 2023 176
12.6 BRAND/PRODUCT COMPARISON 177
12.7 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2023 178
12.7.1 STARS 178
12.7.2 EMERGING LEADERS 178
12.7.3 PERVASIVE PLAYERS 178
12.7.4 PARTICIPANTS 178
 
12.7.5 COMPANY FOOTPRINT: KEY PLAYERS, 2023 180
12.7.5.1 Company footprint 180
12.7.5.2 Region footprint 181
12.7.5.3 Offering footprint 182
12.7.5.4 Deployment footprint 183
12.7.5.5 Application footprint 184
12.7.5.6 Vertical footprint 185
12.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2023 186
12.8.1 PROGRESSIVE COMPANIES 186
12.8.2 RESPONSIVE COMPANIES 186
12.8.3 DYNAMIC COMPANIES 186
12.8.4 STARTING BLOCKS 186
12.8.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2023 188
12.8.5.1 Detailed list of key startups/SMEs 188
12.8.5.2 Competitive benchmarking of key startups/SMEs 189
12.9 COMPETITIVE SCENARIOS 190
12.9.1 PRODUCT LAUNCHES 190
12.9.2 DEALS 191
12.9.3 OTHER DEVELOPMENTS 192
13 COMPANY PROFILES 193
13.1 KEY PLAYERS 193
13.1.1 INTEL CORPORATION 193
13.1.1.1 Business overview 193
13.1.1.2 Products/Solutions/Services offered 194
13.1.1.3 Recent developments 195
13.1.1.3.1 Product launches 195
13.1.1.3.2 Deals 196
13.1.1.4 MnM view 197
13.1.1.4.1 Key strengths/Right to win 197
13.1.1.4.2 Strategic choices 197
13.1.1.4.3 Weaknesses/Competitive threats 197
13.1.2 IBM 198
13.1.2.1 Business overview 198
13.1.2.2 Products/Solutions/Services offered 199
13.1.2.3 Recent developments 200
13.1.2.3.1 Product launches 200
13.1.2.3.2 Deals 200
13.1.2.4 MnM view 201
13.1.2.4.1 Key strengths/Right to win 201
13.1.2.4.2 Strategic choices 201
13.1.2.4.3 Weaknesses/Competitive threats 201
13.1.3 QUALCOMM TECHNOLOGIES, INC. 202
13.1.3.1 Business overview 202
13.1.3.2 Products/Solutions/Services offered 204
13.1.3.3 Recent developments 204
13.1.3.3.1 Deals 204
13.1.3.3.2 Other developments 205
13.1.3.4 MnM view 205
13.1.3.4.1 Key strengths/Right to win 205
13.1.3.4.2 Strategic choices 205
13.1.3.4.3 Weaknesses/Competitive threats 205
13.1.4 SAMSUNG ELECTRONICS CO., LTD. 206
13.1.4.1 Business overview 206
13.1.4.2 Products/Solutions/Services offered 207
13.1.4.3 Recent developments 208
13.1.4.3.1 Product launches 208
13.1.4.3.2 Deals 208
13.1.4.4 MnM view 209
13.1.4.4.1 Key strengths/Right to win 209
13.1.4.4.2 Strategic choices 209
13.1.4.4.3 Weaknesses/Competitive threats 209
13.1.5 SONY CORPORATION 210
13.1.5.1 Business overview 210
13.1.5.2 Products/Solutions/Services offered 212
13.1.5.3 MnM view 212
13.1.5.3.1 Key strengths/Right to win 212
13.1.5.3.2 Strategic choices 212
13.1.5.3.3 Weaknesses/Competitive threats 212
13.1.6 BRAINCHIP, INC. 213
13.1.6.1 Business overview 213
13.1.6.2 Products/Solutions/Services offered 214
13.1.6.3 Recent developments 215
13.1.6.3.1 Product launches 215
13.1.6.3.2 Deals 215
13.1.6.3.3 Other developments 216
13.1.7 SYNSENSE 217
13.1.7.1 Business overview 217
13.1.7.2 Products/Solutions/Services offered 217
13.1.7.3 Recent developments 218
13.1.7.3.1 Product launches 218
13.1.7.3.2 Deals 219
 
13.1.8 MEDIATEK INC. 220
13.1.8.1 Business overview 220
13.1.8.2 Products/Solutions/Services offered 221
13.1.9 NXP SEMICONDUCTORS 222
13.1.9.1 Business overview 222
13.1.9.2 Products/Solutions/Services offered 223
13.1.9.3 Recent developments 224
13.1.9.3.1 Product launches 224
13.1.9.3.2 Deals 224
13.1.10 ADVANCED MICRO DEVICES, INC. 225
13.1.10.1 Business overview 225
13.1.10.2 Products/Solutions/Services offered 227
13.1.10.3 Recent developments 227
13.1.10.3.1 Product launches 227
13.1.10.3.2 Deals 228
13.1.11 HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP 229
13.1.11.1 Business overview 229
13.1.11.2 Products/Solutions/Services offered 230
13.1.11.3 Recent developments 231
13.1.11.3.1 Product launches 231
13.1.11.3.2 Deals 231
13.1.12 OMNIVISION 232
13.1.12.1 Business overview 232
13.1.12.2 Products/Solutions/Services offered 232
13.1.12.3 Recent developments 233
13.1.12.3.1 Product launches 233
13.1.12.3.2 Deals 233
13.2 OTHER PLAYERS 234
13.2.1 INNATERA NANOSYSTEMS BV 234
13.2.2 GENERAL VISION INC. 235
13.2.3 APPLIED BRAIN RESEARCH, INC. 236
13.2.4 NUMENTA 237
13.2.5 ASPINITY 238
13.2.6 NATURAL INTELLIGENCE 239
13.2.7 GRAI MATTER LABS 240
13.2.8 PROPHESEE.AI 241
13.2.9 MICROCHIP TECHNOLOGY INC. 242
13.2.10 MEMCOMPUTING, INC. 243
13.2.11 COGNIXION 244
13.2.12 NEUROPIXELS 245
13.2.13 SPINNCLOUD SYSTEMS 246
13.2.14 POLYN TECHNOLOGY 247
14 APPENDIX 248
14.1 DISCUSSION GUIDE 248
14.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 252
14.3 CUSTOMIZATION OPTIONS 254
14.4 RELATED REPORTS 254
14.5 AUTHOR DETAILS 255