Neuromorphic Computing Market Synopsis

Neuromorphic Computing Market Size is Valued at USD 5.08 Billion in 2023, and is Projected to Reach USD 28.71 Billion by 2032, Growing at a CAGR of 21.22% From 2024-2032.

Neuromorphic computing is an innovative technology that mimics the neural structure and functioning of the human brain to improve the efficiency and performance of computational systems. It employs specialized hardware, such as neuromorphic chips, which use a network of artificial neurons and synapses to process information in a parallel and event-driven manner. This approach offers significant advantages in terms of speed, energy efficiency, and adaptability, making it highly suitable for advanced applications in artificial intelligence, machine learning, robotics, and sensory processing. By emulating the brain's capabilities, neuromorphic computing aims to revolutionize traditional computing paradigms and enable the development of intelligent, autonomous systems.

• The demand for artificial intelligence and machine learning which use high-speed data processing devices are what are pushing the use of neuromorphic computing in the market. Modern computer architectures, for example, Central Processing Unit (CPU), especially von Neumann systems, are not suitable for these complex tasks as they entail serial processing and the time taken during data movement between the processing elements and CPU. Neuromorphic computing, a logic style that mimics the neuron structures in the human brain, provides parallel operations which enhance both speed and effectiveness. This makes it fitting where real-time data processing, image/voice cognizance, and self-driving apparatuses are utilitarian in the automotive, medical, and consumer electronics industries. Another category is the increasing popularity of AI technologies in such sectors as healthcare, manufacturing, automotive, and financial services; this drives the global neuromorphic computing market.
• In addition, integrated hardware development particularly neuromorphic chips and sensor also continues to drive the market progress. Currently, there is an enormous amount of funding from leading tech firms and research organizations in developing advanced neuromorphic hardware that implements a high level of artificial intelligence. In fact, current tech giants, such as Intel, IBM, and Qualcomm, work on the development of novel neuromorphic processors that would solve demanding computations tasks using less energy compared with traditional processors. These innovations help improve the capabilities not only of AI applications but also make neuromorphic computing a possibility in scenarios that are power-conscious like mobile devices and IoT designs. This area of application has not yet become mainstream in most products but it holds great promises on how neuromorphic computing can transform how AI and ML risks are built and deployed in the future.

Neuromorphic Computing Market Trend Analysis

Neuromorphic Computing: The Next Frontier in AI and Automation

• Currently, neuromorphic computing is just a budding market that is expected to experience steady growth due to continuously increasing applications of complex artificial intelligence and machine learning. One of the well-established trends is using neuromorphic chips in numerous consumer application in devices including but not limited to smartphones and wearables. These chips emulate the human neural junctions and have relatively lower power consumption and increased computational speed compared to existing chips, due to their real time operation ability and complex mathematical calculations. This trend is further supported by an incorporation of neuromorphic technology in life, automobile, and transportation subfields such as self-driving cars and drones where speed and decision making as well as low energy consumption is instrumental. These companies, for instance, Intel and IBM, are key players in this innovation, particularly when it comes to Research and Development to come up with improved architectures of neuromorphic hardware.
• Another trend is the increase in uses of neuromorphic computing in both the healthcare and industries. Notably, healthcare is adopting this emergent technology to develop enhanced medical imaging and diagnostics tools that are more accurate and perform computations at a faster rate than the classical methods. More so, the industrial segment is already using neuromorphic technology for development of better robots and automation in industries, improving the reliability of manufacturing. The market is also increasingly focused towards cybersecurity as neuromorphic computing has the inherent capability to detect patterns as well as anomalies thereby providing strong security features against the cyber-attacks. Altogether, the usage of neuromorphic computing is expected to skyrocket in the further as such technologies adapt to more industries, pioneering and progressing owing to the growth of needs for smart and energy-saving computing systems.

Opportunities in the Neuromorphic Computing Market for AI and Healthcare

• The market size of neuromorphic computing systems is a promising area that can spur growth and development across multiple industries thanks to the principles it applies mimicking the structures and functions of the human brain. There are plenty of potential fields to explore, but one of the most prominent areas is artificial intelligence and machine learning. Due to its ability to carry out parallel data processing and learning at the same time, neuromorphic computing holds the potential for real-time decision, which is ideal for certain applications like self-driving cars, drones, and other robotics, and smart AI systems. People are willing to embrace greater effective and faster with less energy consumption artificial intelligence which has led to improvement in neuromorphic systems. Those firms who are in the position to draw upon those capabilities, to improve the AI performance, lower the power consumption, and increase the Speed Rate more and more will be in a position to gain competitive advantage in the emerging market of AI. Also, the integration of neuromorphic computing with edge computing devices is another feature that can drastically change industries as it allows for performing AI computations at the edge devices focusing on low-latency on-device computations which are crucial for such sectors as industrial automation or smart consumer electronics.
• Another potential reason for the growth of the neuromorphic computing market is in the field of medicine. This ability to process a massive amount of medical data revolutionizes medical diagnostics, brings the concept of a unique treatment further to life, and has the potential to enhance neuroproteins greatly. Neuromorphic chips can improve the imaging systems that can help make a correct diagnosis or discover diseases faster. In addition, their use in compact medical wearables and brain-computer interfaces may mean that there are major advances in the diagnostics, and treatment, of neurological diseases. Hyperspecifity in diagnostics, early diagnostic as well as personalized treatment methods are significant drivers towards synchronization of neuromorphic computing and healthcare industry. Channeled towards this technology, firms have an opportunity to attain new heights towards changing patients’ destiny while offering efficient solutions that alleviate healthcare expenses. All in all, the ideas presented in the current study suggest a bright future for the neuromorphic computing market since this technology helps to meet essential requirements in AI and healthcare and can revolutionize numerous industries.

Neuromorphic Computing Market Segment Analysis:

Neuromorphic Computing Market is segmented on the basis of Offering, Deployment, Application, and Industry Vertical.

By Offering, Software segment is expected to dominate the market during the forecast period

• The market for neuromorphic computing is classified predominantly according to its products, encompassing both hardware and software solutions. Neuromorphic hardware comprises hardware architectures and specialized processors that are intended to emulate the structure and functionality of the human brain. The aforementioned hardware components play a crucial role in the advancement of neuromorphic systems by facilitating the execution of intricate cognitive tasks in a scalable and effective manner.
• Conversely, the algorithms, programming languages, and software frameworks utilized in the design, simulation, and deployment of neuromorphic systems are referred to as neuromorphic software. Software solutions of this nature are of the utmost importance when it comes to optimizing the functionality and performance of neuromorphic hardware. This empowers developers to design and implement groundbreaking applications across a wide range of sectors, such as cybersecurity, healthcare, and robotics.
• The convergence of neuromorphic hardware and software is facilitating progress in the fields of artificial intelligence (AI) and machine learning, thereby presenting novel prospects for cognitive computing research and development. Hardware and software are anticipated to have a significant impact on the development and growth of the neuromorphic computing market, which is anticipated to expand in tandem with the demand for intelligent, energy-efficient computing solutions.

By Industry Vertical, IT & Telecom segment held the largest share in 2023

• Neuromorphic computing is being implemented in numerous industry sectors, including automotive, consumer electronics, information technology and telecommunications, aerospace and defense, industrial, and healthcare, among others. Neuromorphic computing is bringing about a paradigm shift in the realm of consumer electronics by facilitating the optimization of smart device design through data processing and analysis. This advancement has resulted in improved user experiences and functionalities.
• Utilizing neuromorphic computing, the automotive sector is advancing the development of autonomous vehicles and advanced driver-assistance systems (ADAS), thereby improving transportation safety and efficiency. Neuromorphic computing is facilitating the development of more intelligent and rapid communication systems by spurring innovation in data processing and networking in the IT & telecom industry. Aerospace and defense applications are enhancing their situational awareness and decision-making through the utilization of neuromorphic computing's capability to process immense quantities of data in real time. Utilizing neuromorphic computing to maximize manufacturing processes, enhance robotics, and optimize supply chain management are all aspects of the industrial sector. Furthermore, within the healthcare sector, neuromorphic computing is facilitating progress in the domains of medical imaging, diagnosis, and personalized medicine, thereby bringing about a paradigm shift.

Neuromorphic Computing Market Regional Insights:

North America is Expected to Dominate the Market Over the Forecast period

• Currently, the North America market has a vast prospect and potential to continue the industry growth in the future. The need for improving Artificial Intelligence and Machine Learning systems, which necessitate neuromorphic computing in sectors like healthcare, automotive, and defense is pressuring the growth of the North America neuromorphic computing market. This demand is exerting pressure that requires more efficient neuromorphic computing technologies. Moreover, the growing trends in development of neuromorphic engineering such as neuromorphic chips, or new algorithms stimulating the market are also stimulating the market growth. Such government aid and grants for research and innovation in neuromorphic controlling also are favorable driving forces for the market in North America.
• Those which are based on the application, on the end user and on the country reach for the market segmentations. Based on the use, it can be categorized into Machine learning, Robotics, Sensing technology, and others. On the basis of the end user, the global autopilot systems market can be categorized into healthcare, automotive, defense and others. ) Regionally, the market is limited to the United States, Canada and Mexico.
• Barriers that would prevail within the North American neuromorphic computing market are the high cost of adoption and scarcity of human resource and market consciousness about neuromorphic computing. Although neuromorphic computing is still in the development stage, some of the factors which may slow down the market growth include: Neuromorphic computing systems can be expensive to deploy in the initial years affecting the market growth. However, there are some factors that may restrain the market growth in North America; firstly, the market is not very familiar with neuromorphic computing; secondly, the number of people who have relevant knowledge in this field is insufficient. Technology advancement’s demand for AI and ML solutions along with the favorable North American government policies make the North America neuromorphic computing market highly applicable. It is now believed that the market will have further innovation and acceptances on different fields in the region.

Active Key Players in the Neuromorphic Computing Market

• Brain Corporation (United States)
• CEA-Leti (France)
• General Vision, Inc. (United States)
• Hewlett Packard Company (United States)
• HRL Laboratories, LLC (United States)
• Intel Corporation (United States)
• International Business Machines Corporation (United States)
• Knowm Inc (United States)
• Qualcomm Technologies, Inc. (United States)
• Samsung Electronics Co., Ltd (South Korea)
• Vicarious FPC, Inc. (United States) Others

1. INTRODUCTION
   1. RESEARCH OBJECTIVES
   2. RESEARCH METHODOLOGY
   3. RESEARCH PROCESS
   4. SCOPE AND COVERAGE
      1. Market Definition
      2. Key Questions Answered
   5. MARKET SEGMENTATION
2. EXECUTIVE SUMMARY
3. MARKET OVERVIEW
4. GROWTH OPPORTUNITIES BY SEGMENT
5. MARKET LANDSCAPE
   1. PORTER’S FIVE FORCES ANALYSIS
      1. Bargaining Power Of Supplier
      2. Threat Of New Entrants
      3. Threat Of Substitutes
      4. Competitive Rivalry
      5. Bargaining Power Among Buyers
   2. INDUSTRY VALUE CHAIN ANALYSIS
   3. MARKET DYNAMICS
      1. Drivers
      2. Restraints
      3. Opportunities
      4. Challenges
   4. MARKET TREND ANALYSIS
   5. REGULATORY LANDSCAPE
   6. PESTLE ANALYSIS
   7. PRICE TREND ANALYSIS
   8. PATENT ANALYSIS
   9. TECHNOLOGY EVALUATION
   10. MARKET IMPACT OF THE RUSSIA-UKRAINE WAR
       1. Geopolitical Market Disruptions
       2. Supply Chain Disruptions
       3. Instability in Emerging Markets
   11. ECOSYSTEM
6. NEUROMORPHIC COMPUTING MARKET BY OFFERING (2017-2032)
   1. NEUROMORPHIC COMPUTING MARKET SNAPSHOT AND GROWTH ENGINE
   2. MARKET OVERVIEW
   3. HARDWARE
      1. Introduction And Market Overview
      2. Historic And Forecasted Market Size in Value (2017 – 2032F)
      3. Historic And Forecasted Market Size in Volume (2017 – 2032F)
      4. Key Market Trends, Growth Factors And Opportunities
      5. Geographic Segmentation Analysis
   4. SOFTWARE
7. NEUROMORPHIC COMPUTING MARKET BY DEPLOYMENT (2017-2032)
   1. NEUROMORPHIC COMPUTING MARKET SNAPSHOT AND GROWTH ENGINE
   2. MARKET OVERVIEW
   3. EDGE COMPUTING
      1. Introduction And Market Overview
      2. Historic And Forecasted Market Size in Value (2017 – 2032F)
      3. Historic And Forecasted Market Size in Volume (2017 – 2032F)
      4. Key Market Trends, Growth Factors And Opportunities
      5. Geographic Segmentation Analysis
   4. CLOUD COMPUTING
8. NEUROMORPHIC COMPUTING MARKET BY APPLICATION (2017-2032)
   1. NEUROMORPHIC COMPUTING MARKET SNAPSHOT AND GROWTH ENGINE
   2. MARKET OVERVIEW
   3.  IMAGE RECOGNITION
      1. Introduction And Market Overview
      2. Historic And Forecasted Market Size in Value (2017 – 2032F)
      3. Historic And Forecasted Market Size in Volume (2017 – 2032F)
      4. Key Market Trends, Growth Factors And Opportunities
      5. Geographic Segmentation AnalysiS
   4. SIGNAL RECOGNITION
   5. DATA MINING
   6. OTHERS
9. NEUROMORPHIC COMPUTING MARKET BY INDUSTRY VERTICAL (2017-2032)
   1. NEUROMORPHIC COMPUTING MARKET SNAPSHOT AND GROWTH ENGINE
   2. MARKET OVERVIEW
   3. CONSUMER ELECTRONICS
      1. Introduction And Market Overview
      2. Historic And Forecasted Market Size in Value (2017 – 2032F)
      3. Historic And Forecasted Market Size in Volume (2017 – 2032F)
      4. Key Market Trends, Growth Factors And Opportunities
      5. Geographic Segmentation Analysis
   4. AUTOMOTIVE
   5. IT & TELECOM
   6. AEROSPACE AND DEFENCE
   7. INDUSTRIAL
   8. HEALTHCARE
   9. OTHERS
10. COMPANY PROFILES AND COMPETITIVE ANALYSIS
    1. COMPETITIVE LANDSCAPE
       1. Competitive Positioning
       2. Luxury Goods Market Share By Manufacturer (2023)
       3. Industry BCG Matrix
       4. Heat Map Analysis
       5. Mergers & Acquisitions
    2. BRAIN CORPORATION (UNITED STATES)
       1. Company Overview
       2. Key Executives
       3. Company Snapshot
       4. Role of the Company in the Market
       5. Sustainability and Social Responsibility
       6. Operating Business Segments
       7. Product Portfolio
       8. Business Performance (Production Volume, Sales Volume, Sales Margin, Production Capacity, Capacity Utilization Rate)
       9. Key Strategic Moves And Recent Developments
       10. SWOT Analysis
    3. CEA-LETI (FRANCE)
    4. GENERAL VISION, INC. (UNITED STATES)
    5. HEWLETT PACKARD COMPANY (UNITED STATES)
    6. HRL LABORATORIES, LLC (UNITED STATES)
    7. INTEL CORPORATION (UNITED STATES)
    8. INTERNATIONAL BUSINESS MACHINES CORPORATION (UNITED STATES)
    9. KNOWM INC (UNITED STATES)
    10. QUALCOMM TECHNOLOGIES, INC. (UNITED STATES)
    11. SAMSUNG ELECTRONICS CO., LTD (SOUTH KOREA)
    12. VICARIOUS FPC, INC. (UNITED STATES)
11. GLOBAL NEUROMORPHIC COMPUTING MARKET BY REGION
    1. OVERVIEW
    2. NORTH AMERICA
       1. Key Market Trends, Growth Factors And Opportunities
       2. Key Manufacturers
       3. Historic And Forecasted Market Size By Offering
       4. Historic And Forecasted Market Size By Deployment
       5. Historic And Forecasted Market Size By Application
       6. Historic And Forecasted Market Size By Industry Verticle
       7. Historic And Forecasted Market Size By Segment5
       8. Historic And Forecasted Market Size By Segment6
       9. Historic And Forecasted Market Size By Country
          1. USA
          2. Canada
          3. Mexico
    3. EASTERN EUROPE
       1. Key Market Trends, Growth Factors And Opportunities
       2. Key Manufacturers
       3. Historic And Forecasted Market Size By Segments
       4. Historic And Forecasted Market Size By Country
          1. Russia
          2. Bulgaria
          3. The Czech Republic
          4. Hungary
          5. Poland
          6. Romania
          7. Rest Of Eastern Europe
    4. WESTERN EUROPE
       1. Key Market Trends, Growth Factors And Opportunities
       2. Key Manufacturers
       3. Historic And Forecasted Market Size By Segments
       4. Historic And Forecasted Market Size By Country
          1. Germany
          2. United Kingdom
          3. France
          4. The Netherlands
          5. Italy
          6. Spain
          7. Rest Of Western Europe
    5. ASIA PACIFIC
       1. Key Market Trends, Growth Factors And Opportunities
       2. Key Manufacturers
       3. Historic And Forecasted Market Size By Segments
       4. Historic And Forecasted Market Size By Country
          1. China
          2. India
          3. Japan
          4. South Korea
          5. Malaysia
          6. Thailand
          7. Vietnam
          8. The Philippines
          9. Australia
          10. New-Zealand
          11. Rest Of APAC
    6. MIDDLE EAST & AFRICA
       1. Key Market Trends, Growth Factors And Opportunities
       2. Key Manufacturers
       3. Historic And Forecasted Market Size By Segments
       4. Historic And Forecasted Market Size By Country
          1. Turkey
          2. Bahrain
          3. Kuwait
          4. Saudi Arabia
          5. Qatar
          6. UAE
          7. Israel
          8. South Africa
    7. SOUTH AMERICA
       1. Key Market Trends, Growth Factors And Opportunities
       2. Key Manufacturers
       3. Historic And Forecasted Market Size By Segments
       4. Historic And Forecasted Market Size By Country
          1. Brazil
          2. Argentina
          3. Rest of South America
12. INVESTMENT ANALYSIS
13. ANALYST VIEWPOINT AND CONCLUSION
    1. Recommendations and Concluding Analysis
    2. Potential Market Strategies

LIST OF TABLES

TABLE 001. EXECUTIVE SUMMARY
TABLE 002. NEUROMORPHIC COMPUTING MARKET BARGAINING POWER OF SUPPLIERS
TABLE 003. NEUROMORPHIC COMPUTING MARKET BARGAINING POWER OF CUSTOMERS
TABLE 004. NEUROMORPHIC COMPUTING MARKET COMPETITIVE RIVALRY
TABLE 005. NEUROMORPHIC COMPUTING MARKET THREAT OF NEW ENTRANTS
TABLE 006. NEUROMORPHIC COMPUTING MARKET THREAT OF SUBSTITUTES
TABLE 007. NEUROMORPHIC COMPUTING MARKET BY TYPE
TABLE 008. HARDWARE MARKET OVERVIEW (2016-2028)
TABLE 009. SOFTWARE MARKET OVERVIEW (2016-2028)
TABLE 010. NEUROMORPHIC COMPUTING MARKET BY DEPLOYMENT
TABLE 011. EDGE COMPUTING MARKET OVERVIEW (2016-2028)
TABLE 012. CLOUD COMPUTING MARKET OVERVIEW (2016-2028)
TABLE 013. NEUROMORPHIC COMPUTING MARKET BY APPLICATION
TABLE 014. IMAGE RECOGNITION MARKET OVERVIEW (2016-2028)
TABLE 015. SIGNAL RECOGNITION MARKET OVERVIEW (2016-2028)
TABLE 016. DATA MINING MARKET OVERVIEW (2016-2028)
TABLE 017. NORTH AMERICA NEUROMORPHIC COMPUTING MARKET, BY TYPE (2016-2028)
TABLE 018. NORTH AMERICA NEUROMORPHIC COMPUTING MARKET, BY DEPLOYMENT (2016-2028)
TABLE 019. NORTH AMERICA NEUROMORPHIC COMPUTING MARKET, BY APPLICATION (2016-2028)
TABLE 020. N NEUROMORPHIC COMPUTING MARKET, BY COUNTRY (2016-2028)
TABLE 021. EUROPE NEUROMORPHIC COMPUTING MARKET, BY TYPE (2016-2028)
TABLE 022. EUROPE NEUROMORPHIC COMPUTING MARKET, BY DEPLOYMENT (2016-2028)
TABLE 023. EUROPE NEUROMORPHIC COMPUTING MARKET, BY APPLICATION (2016-2028)
TABLE 024. NEUROMORPHIC COMPUTING MARKET, BY COUNTRY (2016-2028)
TABLE 025. ASIA PACIFIC NEUROMORPHIC COMPUTING MARKET, BY TYPE (2016-2028)
TABLE 026. ASIA PACIFIC NEUROMORPHIC COMPUTING MARKET, BY DEPLOYMENT (2016-2028)
TABLE 027. ASIA PACIFIC NEUROMORPHIC COMPUTING MARKET, BY APPLICATION (2016-2028)
TABLE 028. NEUROMORPHIC COMPUTING MARKET, BY COUNTRY (2016-2028)
TABLE 029. MIDDLE EAST & AFRICA NEUROMORPHIC COMPUTING MARKET, BY TYPE (2016-2028)
TABLE 030. MIDDLE EAST & AFRICA NEUROMORPHIC COMPUTING MARKET, BY DEPLOYMENT (2016-2028)
TABLE 031. MIDDLE EAST & AFRICA NEUROMORPHIC COMPUTING MARKET, BY APPLICATION (2016-2028)
TABLE 032. NEUROMORPHIC COMPUTING MARKET, BY COUNTRY (2016-2028)
TABLE 033. SOUTH AMERICA NEUROMORPHIC COMPUTING MARKET, BY TYPE (2016-2028)
TABLE 034. SOUTH AMERICA NEUROMORPHIC COMPUTING MARKET, BY DEPLOYMENT (2016-2028)
TABLE 035. SOUTH AMERICA NEUROMORPHIC COMPUTING MARKET, BY APPLICATION (2016-2028)
TABLE 036. NEUROMORPHIC COMPUTING MARKET, BY COUNTRY (2016-2028)
TABLE 037. INTEL CORP. (US): SNAPSHOT
TABLE 038. INTEL CORP. (US): BUSINESS PERFORMANCE
TABLE 039. INTEL CORP. (US): PRODUCT PORTFOLIO
TABLE 040. INTEL CORP. (US): KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 040. IBM CORPORATION (US): SNAPSHOT
TABLE 041. IBM CORPORATION (US): BUSINESS PERFORMANCE
TABLE 042. IBM CORPORATION (US): PRODUCT PORTFOLIO
TABLE 043. IBM CORPORATION (US): KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 043. BRAINCHIP HOLDINGS LTD. (US): SNAPSHOT
TABLE 044. BRAINCHIP HOLDINGS LTD. (US): BUSINESS PERFORMANCE
TABLE 045. BRAINCHIP HOLDINGS LTD. (US): PRODUCT PORTFOLIO
TABLE 046. BRAINCHIP HOLDINGS LTD. (US): KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 046. QUALCOMM (US): SNAPSHOT
TABLE 047. QUALCOMM (US): BUSINESS PERFORMANCE
TABLE 048. QUALCOMM (US): PRODUCT PORTFOLIO
TABLE 049. QUALCOMM (US): KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 049. HP ENTERPRISE (US): SNAPSHOT
TABLE 050. HP ENTERPRISE (US): BUSINESS PERFORMANCE
TABLE 051. HP ENTERPRISE (US): PRODUCT PORTFOLIO
TABLE 052. HP ENTERPRISE (US): KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 052. SAMSUNG ELECTRONICS LTD. (SOUTH KOREA): SNAPSHOT
TABLE 053. SAMSUNG ELECTRONICS LTD. (SOUTH KOREA): BUSINESS PERFORMANCE
TABLE 054. SAMSUNG ELECTRONICS LTD. (SOUTH KOREA): PRODUCT PORTFOLIO
TABLE 055. SAMSUNG ELECTRONICS LTD. (SOUTH KOREA): KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 055. HRL LABORATORIES: SNAPSHOT
TABLE 056. HRL LABORATORIES: BUSINESS PERFORMANCE
TABLE 057. HRL LABORATORIES: PRODUCT PORTFOLIO
TABLE 058. HRL LABORATORIES: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 058. LLC (US): SNAPSHOT
TABLE 059. LLC (US): BUSINESS PERFORMANCE
TABLE 060. LLC (US): PRODUCT PORTFOLIO
TABLE 061. LLC (US): KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 061. GENERAL VISION INC. (US): SNAPSHOT
TABLE 062. GENERAL VISION INC. (US): BUSINESS PERFORMANCE
TABLE 063. GENERAL VISION INC. (US): PRODUCT PORTFOLIO
TABLE 064. GENERAL VISION INC. (US): KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 064. APPLIED BRAIN RESEARCH INC. (US): SNAPSHOT
TABLE 065. APPLIED BRAIN RESEARCH INC. (US): BUSINESS PERFORMANCE
TABLE 066. APPLIED BRAIN RESEARCH INC. (US): PRODUCT PORTFOLIO
TABLE 067. APPLIED BRAIN RESEARCH INC. (US): KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 067. AND VICARIOUS (US): SNAPSHOT
TABLE 068. AND VICARIOUS (US): BUSINESS PERFORMANCE
TABLE 069. AND VICARIOUS (US): PRODUCT PORTFOLIO
TABLE 070. AND VICARIOUS (US): KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 070. NUMENTA (US): SNAPSHOT
TABLE 071. NUMENTA (US): BUSINESS PERFORMANCE
TABLE 072. NUMENTA (US): PRODUCT PORTFOLIO
TABLE 073. NUMENTA (US): KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 073. ASPINITY: SNAPSHOT
TABLE 074. ASPINITY: BUSINESS PERFORMANCE
TABLE 075. ASPINITY: PRODUCT PORTFOLIO
TABLE 076. ASPINITY: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 076. INC. (US): SNAPSHOT
TABLE 077. INC. (US): BUSINESS PERFORMANCE
TABLE 078. INC. (US): PRODUCT PORTFOLIO
TABLE 079. INC. (US): KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 079. BRAINCO: SNAPSHOT
TABLE 080. BRAINCO: BUSINESS PERFORMANCE
TABLE 081. BRAINCO: PRODUCT PORTFOLIO
TABLE 082. BRAINCO: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 082. INC. (US): SNAPSHOT
TABLE 083. INC. (US): BUSINESS PERFORMANCE
TABLE 084. INC. (US): PRODUCT PORTFOLIO
TABLE 085. INC. (US): KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 085. BIT BRAIN TECHNOLOGIES (SPAIN): SNAPSHOT
TABLE 086. BIT BRAIN TECHNOLOGIES (SPAIN): BUSINESS PERFORMANCE
TABLE 087. BIT BRAIN TECHNOLOGIES (SPAIN): PRODUCT PORTFOLIO
TABLE 088. BIT BRAIN TECHNOLOGIES (SPAIN): KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 088. HALO NEUROSCIENCE (US): SNAPSHOT
TABLE 089. HALO NEUROSCIENCE (US): BUSINESS PERFORMANCE
TABLE 090. HALO NEUROSCIENCE (US): PRODUCT PORTFOLIO
TABLE 091. HALO NEUROSCIENCE (US): KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 091. KERNEL (US): SNAPSHOT
TABLE 092. KERNEL (US): BUSINESS PERFORMANCE
TABLE 093. KERNEL (US): PRODUCT PORTFOLIO
TABLE 094. KERNEL (US): KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 094. NEXTMIND SRL (ITALY): SNAPSHOT
TABLE 095. NEXTMIND SRL (ITALY): BUSINESS PERFORMANCE
TABLE 096. NEXTMIND SRL (ITALY): PRODUCT PORTFOLIO
TABLE 097. NEXTMIND SRL (ITALY): KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 097. COGNIXION (US): SNAPSHOT
TABLE 098. COGNIXION (US): BUSINESS PERFORMANCE
TABLE 099. COGNIXION (US): PRODUCT PORTFOLIO
TABLE 100. COGNIXION (US): KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 100. NEUROPACE (US): SNAPSHOT
TABLE 101. NEUROPACE (US): BUSINESS PERFORMANCE
TABLE 102. NEUROPACE (US): PRODUCT PORTFOLIO
TABLE 103. NEUROPACE (US): KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 103. MINDMAZE (US): SNAPSHOT
TABLE 104. MINDMAZE (US): BUSINESS PERFORMANCE
TABLE 105. MINDMAZE (US): PRODUCT PORTFOLIO
TABLE 106. MINDMAZE (US): KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 106. INNATERA NANOSYSTEMS (NETHERLANDS): SNAPSHOT
TABLE 107. INNATERA NANOSYSTEMS (NETHERLANDS): BUSINESS PERFORMANCE
TABLE 108. INNATERA NANOSYSTEMS (NETHERLANDS): PRODUCT PORTFOLIO
TABLE 109. INNATERA NANOSYSTEMS (NETHERLANDS): KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 109. MEMCOMPUTING (US): SNAPSHOT
TABLE 110. MEMCOMPUTING (US): BUSINESS PERFORMANCE
TABLE 111. MEMCOMPUTING (US): PRODUCT PORTFOLIO
TABLE 112. MEMCOMPUTING (US): KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 112. NATURAL INTELLIGENCE SYSTEMS (US): SNAPSHOT
TABLE 113. NATURAL INTELLIGENCE SYSTEMS (US): BUSINESS PERFORMANCE
TABLE 114. NATURAL INTELLIGENCE SYSTEMS (US): PRODUCT PORTFOLIO
TABLE 115. NATURAL INTELLIGENCE SYSTEMS (US): KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 115. CERYX MEDICAL (UK): SNAPSHOT
TABLE 116. CERYX MEDICAL (UK): BUSINESS PERFORMANCE
TABLE 117. CERYX MEDICAL (UK): PRODUCT PORTFOLIO
TABLE 118. CERYX MEDICAL (UK): KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 118. AND KONIKU (US): SNAPSHOT
TABLE 119. AND KONIKU (US): BUSINESS PERFORMANCE
TABLE 120. AND KONIKU (US): PRODUCT PORTFOLIO
TABLE 121. AND KONIKU (US): KEY STRATEGIC MOVES AND DEVELOPMENTS

LIST OF FIGURES

FIGURE 001. YEARS CONSIDERED FOR ANALYSIS
FIGURE 002. SCOPE OF THE STUDY
FIGURE 003. NEUROMORPHIC COMPUTING MARKET OVERVIEW BY REGIONS
FIGURE 004. PORTER'S FIVE FORCES ANALYSIS
FIGURE 005. BARGAINING POWER OF SUPPLIERS
FIGURE 006. COMPETITIVE RIVALRYFIGURE 007. THREAT OF NEW ENTRANTS
FIGURE 008. THREAT OF SUBSTITUTES
FIGURE 009. VALUE CHAIN ANALYSIS
FIGURE 010. PESTLE ANALYSIS
FIGURE 011. NEUROMORPHIC COMPUTING MARKET OVERVIEW BY TYPE
FIGURE 012. HARDWARE MARKET OVERVIEW (2016-2028)
FIGURE 013. SOFTWARE MARKET OVERVIEW (2016-2028)
FIGURE 014. NEUROMORPHIC COMPUTING MARKET OVERVIEW BY DEPLOYMENT
FIGURE 015. EDGE COMPUTING MARKET OVERVIEW (2016-2028)
FIGURE 016. CLOUD COMPUTING MARKET OVERVIEW (2016-2028)
FIGURE 017. NEUROMORPHIC COMPUTING MARKET OVERVIEW BY APPLICATION
FIGURE 018. IMAGE RECOGNITION MARKET OVERVIEW (2016-2028)
FIGURE 019. SIGNAL RECOGNITION MARKET OVERVIEW (2016-2028)
FIGURE 020. DATA MINING MARKET OVERVIEW (2016-2028)
FIGURE 021. NORTH AMERICA NEUROMORPHIC COMPUTING MARKET OVERVIEW BY COUNTRY (2016-2028)
FIGURE 022. EUROPE NEUROMORPHIC COMPUTING MARKET OVERVIEW BY COUNTRY (2016-2028)
FIGURE 023. ASIA PACIFIC NEUROMORPHIC COMPUTING MARKET OVERVIEW BY COUNTRY (2016-2028)
FIGURE 024. MIDDLE EAST & AFRICA NEUROMORPHIC COMPUTING MARKET OVERVIEW BY COUNTRY (2016-2028)
FIGURE 025. SOUTH AMERICA NEUROMORPHIC COMPUTING MARKET OVERVIEW BY COUNTRY (2016-2028)