The Global Market for Neuromorphic Computing and Sensing 2024-2035

 

Neuromorphic computing and sensing focuses on developing technologies inspired by the structure and function of the human brain. This market aims to create more efficient, adaptive, and intelligent systems that can process information in ways similar to biological neural networks. Neuromorphic technologies have the potential to revolutionize various industries and applications, including artificial intelligence (AI), edge computing, autonomous systems, and sensing. The neuromorphic computing and sensing market is driven by the increasing demand for energy-efficient and real-time processing solutions, particularly in edge devices and IoT applications. Neuromorphic systems offer several advantages over traditional computing approaches, such as low latency, high scalability, and the ability to learn and adapt to new situations. Key application areas for neuromorphic computing and sensing include:

  • Edge AI and IoT: Neuromorphic technologies enable more efficient and intelligent processing of data at the edge, reducing the need for cloud connectivity and improving privacy and security.
  • Autonomous vehicles and robotics: Neuromorphic systems can enable real-time decision-making, object recognition, and navigation in autonomous vehicles and robots.
  • Cybersecurity and anomaly detection: The ability of neuromorphic systems to learn and adapt to new patterns makes them well-suited for detecting anomalies and potential threats in cyber systems.
  • Smart sensors and monitoring systems: Neuromorphic sensors can efficiently capture and process data in various applications, such as industrial monitoring, environmental sensing, and smart city infrastructure.
  • High-performance computing and scientific simulations: Neuromorphic technologies can accelerate complex computations and simulations in fields like climate modeling, drug discovery, and materials science.

 

The neuromorphic computing and sensing market is expected to grow significantly in the coming years, driven by advancements in technology, increasing adoption across various industries, and the need for more efficient and intelligent computing solutions.

The Global Market for Neuromorphic Computing and Sensing 2024-2035 offers in-depth insights into the rapidly evolving field of neuromorphic technologies and their transformative impact on artificial intelligence, edge computing, and autonomous systems. This extensive study provides a detailed analysis of the neuromorphic computing and sensing market, including key trends, growth drivers, challenges, and future opportunities. The report explores the diverse applications and industries adopting neuromorphic technologies, such as edge AI and IoT, autonomous vehicles and robotics, cybersecurity, smart sensors, and high-performance computing. It also examines the competitive landscape, highlighting major players in neuromorphic chip manufacturing, sensor development, emerging non-volatile memory solutions, and software and framework provision.

One of the key features of this report is the market size and forecast data segmented by application, market, and region, providing a holistic view of the market's growth potential. The report delves into the technical aspects of neuromorphic computing and sensing, covering spiking neural networks, event-based sensors, memory architectures, hardware and processor designs, and software and frameworks. Additionally, the report identifies critical challenges and opportunities facing the neuromorphic industry, including scalability, standardization, algorithm development, power management, data privacy, and security. It also explores emerging trends such as hybrid neuromorphic-conventional systems, edge AI, quantum computing, explainable AI, and brain-computer interfaces.

The report also includes a comprehensive analysis of the market value chain, funding and investments, strategic partnerships, and collaborations within the neuromorphic industry. It also addresses the regulatory and ethical considerations surrounding neuromorphic technologies.

With over 150 company profiles, The Global Market for Neuromorphic Computing and Sensing 2024-2035 offers valuable insights for technology providers, manufacturers, end-users, investors, and policymakers looking to understand and capitalize on the immense potential of neuromorphic technologies in shaping the future of AI, edge computing, and autonomous systems. The neuromorphic computing and sensing market is characterized by a growing ecosystem of technology providers, manufacturers, research institutions, and end-users. Major players in this market include established semiconductor companies, startups, and academic and research organizations. Companies profiled include Aspinity, BrainChip, Celestial AI, Cognifiber, DeepCube, Deeplite, Expedera, Huawei, IBM, iniVation, Innatera, Instar-Robotics, Intrinsic, Lux Semiconductors, Microsoft, NOVI, Oculi, Omnivision, Perceive, POLYN, Prophesee, Qualcomm, Rain AI, Samsung, Sony, SpiNNcloud Systems, SynSense, Syntiant, Voxel Sensors, and Zetane Systems.

1             EXECUTIVE SUMMARY 

  • 1.1         Overview of the neuromorphic computing and sensing market              20
  • 1.2         Ending of Moore’s Law 24
  • 1.3         Historical market           25
  • 1.4         The market in 2024        26
  • 1.5         Key market trends and growth drivers  26
  • 1.6         Market challenges and limitations        27
  • 1.7         Future outlook and opportunities          30
    • 1.7.1     Emerging trends              32
    • 1.7.2     Technology roadmap    33
  • 1.8         Neuromorphic computing and generative AI    35
  • 1.9         Market value chain        36
  • 1.10       Market map       38
  • 1.11       Funding and investments          40
  • 1.12       Strategic Partnerships and Collaborations       43
  • 1.13       Regulatory and Ethical Considerations               45

 

2             INTRODUCTION             

  • 2.1         Definition and concept of neuromorphic computing and sensing          47
  • 2.2         Main neuromorphic approaches            48
  • 2.3         Comparison with traditional computing and sensing approaches         49
  • 2.4         Neuromorphic computing vs. quantum computing      51
  • 2.5         Key features and advantages   52
  • 2.6         Markets and Applications          53
    • 2.6.1     Edge AI and IoT 53
    • 2.6.2     Autonomous vehicles and robotics       54
    • 2.6.3     Cybersecurity and anomaly detection 55
    • 2.6.4     Smart sensors and monitoring systems             56
    • 2.6.5     Datacenter and high-performance computing 57

 

3             NEUROMORPHICI COMPUTING TECHNOLOGIES AND ARCHITECTURE          59

  • 3.1         Spiking Neural Networks (SNNs)            61
    • 3.1.1     Biological inspiration and principles    62
    • 3.1.2     Types of SNNs and their characteristics            63
    • 3.1.3     Advantages and limitations of SNNs    64
  • 3.2         Memory Architectures for Neuromorphic Computing 65
    • 3.2.1     Conventional memory approaches (SRAM, DRAM)       65
    • 3.2.2     Emerging non-volatile memory (eNVM) technologies  66
      • 3.2.2.1 Phase-Change Memory (PCM) 66
      • 3.2.2.2 Resistive RAM (RRAM) 67
      • 3.2.2.3 Magnetoresistive RAM (MRAM)               68
      • 3.2.2.4 Ferroelectric RAM (FeRAM)       68
    • 3.2.3     In-memory computing and near-memory computing  69
    • 3.2.4     Hybrid memory architectures 70
  • 3.3         Neuromorphic Hardware and Processors         71
    • 3.3.1     Digital neuromorphic processors           72
    • 3.3.2     Analog neuromorphic processors          73
    • 3.3.3     Mixed-signal neuromorphic processors             74
    • 3.3.4     FPGA-based neuromorphic systems   74
    • 3.3.5     Neuromorphic accelerators and co-processors             75
  • 3.4         Software and Frameworks for Neuromorphic Computing         76
    • 3.4.1     Neuromorphic programming languages and tools         76
    • 3.4.2     Neuromorphic simulation platforms and frameworks 77
    • 3.4.3     Neuromorphic algorithm libraries and repositories      79
    • 3.4.4     Neuromorphic software development kits (SDKs)         80

 

4             NEUROMORPHIC SENSING TECHNOLOGIES AND ARCHITECTURES 82

  • 4.1         Event-Based Sensors and Processing 82
    • 4.1.1     Neuromorphic vision sensors  83
    • 4.1.2     Neuromorphic auditory sensors             84
    • 4.1.3     Neuromorphic olfactory sensors           85
    • 4.1.4     Event-driven processing and algorithms            87
  • 4.2         Hybrid Sensing Approaches      87
    • 4.2.1     Combination of conventional and event-based sensors             88
    • 4.2.2     Fusion of multiple sensing modalities 89
    • 4.2.3     Advantages and challenges of hybrid sensing  90
  • 4.3         Neuromorphic Sensor Architectures and Designs         91
    • 4.3.1     Pixel-level processing and computation            91
    • 4.3.2     Sensor-processor co-design and integration   92
    • 4.3.3     Bio-inspired sensor designs and materials       94
  • 4.4         Signal Processing and Feature Extraction Techniques 94
    • 4.4.1     Spike-based encoding and decoding   96
    • 4.4.2     Temporal and spatiotemporal feature extraction          96
    • 4.4.3     Neuromorphic filtering and denoising 97
    • 4.4.4     Adaptive and learning-based processing           97

 

5             MARKET ANALYSIS AND FORECASTS  99

  • 5.1         Global Neuromorphic Computing and Sensing Market Overview          99
    • 5.1.1     Market size and growth trends 100
    • 5.1.2     Market segmentation by application, market, and geography  101
      • 5.1.2.1 By Application 101
      • 5.1.2.2 Market 103
      • 5.1.2.3 Region 105
  • 5.2         Mobile and Consumer Applications     108
    • 5.2.1     Smartphones and wearables   108
    • 5.2.2     Smart home and IoT devices    109
    • 5.2.3     Consumer health and wellness              109
    • 5.2.4     Entertainment and gaming        110
  • 5.3         Automotive and Transportation              114
    • 5.3.1     Advanced Driver Assistance Systems (ADAS)  114
    • 5.3.2     Autonomous vehicles and robotaxis    115
    • 5.3.3     Vehicle infotainment and user experience        116
    • 5.3.4     Smart traffic management and infrastructure 116
  • 5.4         Industrial and Manufacturing   120
    • 5.4.1     Industrial IoT and smart factories          120
    • 5.4.2     Predictive maintenance and anomaly detection            121
    • 5.4.3     Quality control and inspection 122
    • 5.4.4     Logistics and supply chain optimization            123
  • 5.5         Healthcare and Medical Devices           126
    • 5.5.1     Medical imaging and diagnostics           126
    • 5.5.2     Wearable health monitoring devices    127
    • 5.5.3     Personalized medicine and drug discovery       129
    • 5.5.4     Assistive technologies and prosthetics               130
  • 5.6         Aerospace and Defense             133
    • 5.6.1     Unmanned Aerial Vehicles (UAVs) and drones 133
    • 5.6.2     Satellite imaging and remote sensing  134
    • 5.6.3     Missile guidance and target recognition             135
    • 5.6.4     Cybersecurity and threat detection      136
  • 5.7         Datacenters and Cloud Services           139
    • 5.7.1     High-performance computing and scientific simulations         140
    • 5.7.2     Big data analytics and machine learning            141
    • 5.7.3     Cloud-based AI services and platforms              142
    • 5.7.4     Energy-efficient datacenter infrastructure        143
  • 5.8         Regional Market Analysis and Forecasts            145
    • 5.8.1     North America 145
    • 5.8.2     Europe 148
    • 5.8.3     Asia-Pacific      150
    • 5.8.4     Rest of the World            152
  • 5.9         Competitive Landscape and Key Players           154
    • 5.9.1     Overview of the Neuromorphic Computing and Sensing Ecosystem    154
    • 5.9.2     Neuromorphic Chip Manufacturers and Processors    155
    • 5.9.3     Neuromorphic Sensor Manufacturers 157
    • 5.9.4     Emerging Non-Volatile Memory (eNVM) Manufacturers             158
    • 5.9.5     Neuromorphic Software and Framework Providers      159
    • 5.9.6     Research Institutions and Academia   160

 

6             COMPANY PROFILES  162 (159 company profiles)

 

7             RESEARCH SCOPE & METHODOLOGY               311

 

8             REFERENCES   314

 

List of Tables

  • Table 1. Overview of the neuromorphic computing and sensing market.           20
  • Table 2. Global market for neuromorphic computing and sensors, 2020-2035 (Billions USD).                21
  • Table 3. Key market trends and growth drivers.               26
  • Table 4. Market challenges and limitations.     27
  • Table 5. Total system-level available market 2020-20235 in Million Units.        30
  • Table 6. Neuromorphic computing and generative AI. 35
  • Table 7. Funding and investments in neuromorphic computing and sensing.  39
  • Table 8. Strategic Partnerships and Collaborations in the Neuromorphic Industry.      42
  • Table 9. Regulatory and Ethical Considerations of neuromorphic computing & sensing.           44
  • Table 10. Main neuromorphic approaches.       47
  • Table 11. Comparison with traditional computing and sensing approaches.   49
  • Table 12. Comparison between neuromorphic and quantum computing.         51
  • Table 13. Key features and advantages of neuromorphic computing and sensing.        51
  • Table 14. Markets and Applications of neuromorphic computing and sensing.               52
  • Table 15. Types of SNNs and their characteristics.       62
  • Table 16. Advantages and limitations of SNNs 63
  • Table 17. Conventional memory approaches (SRAM, DRAM).  64
  • Table 18. Emerging non-volatile memory (eNVM) technologies.            65
  • Table 19. Hybrid memory architectures.            69
  • Table 20. Neuromorphic accelerators and co-processors.       74
  • Table 21. Neuromorphic programming languages and tools.   75
  • Table 22. Neuromorphic simulation platforms and frameworks.           76
  • Table 23. Neuromorphic algorithm libraries and repositories. 78
  • Table 24. Neuromorphic software development kits (SDKs).   79
  • Table 25. Hybrid sensing approaches. 87
  • Table 26. Advantages and challenges of hybrid sensing.            89
  • Table 27. Bio-inspired sensor designs and materials.  93
  • Table 28. Signal Processing and Feature Extraction Techniques.           94
  • Table 29. Global Neuromorphic Computing and Sensing Market Size and Forecast, by Application (2024-2035), billions USD.     101
  • Table 30. Global Neuromorphic Computing and Sensing Market Size and Forecast, by Market (2024-2035), billions USD.     103
  • Table 31. Global Neuromorphic Computing and Sensing Market Size and Forecast, by Region (2024-2035), billions USD.     105
  • Table 32. Global Neuromorphic Computing and Sensing Market Size and Forecast, in Mobile and Consumer Applications (2024-2035), billions USD.             111
  • Table 33. Global Neuromorphic Computing and Sensing Market Size and Forecast, in Automotive and Transportation (2024-2035), billions USD.         117
  • Table 34. Global Neuromorphic Computing and Sensing Market Size and Forecast, in Industrial and Manufacturing (2024-2035), billions USD.         123
  • Table 35. Global Neuromorphic Computing and Sensing Market Size and Forecast, in Healthcare and Medical Devices (2024-2035), billions USD.       130
  • Table 36. Global Neuromorphic Computing and Sensing Market Size and Forecast, in Aerospace and Defence (2024-2035), billions USD.         136
  • Table 37. Global Neuromorphic Computing and Sensing Market Size and Forecast, in Datacenters and Cloud Services (2024-2035), billions USD.      142
  • Table 38. Global Neuromorphic Computing and Sensing Market Size and Forecast, in North America (2024-2035), billions USD.      145
  • Table 39. Global Neuromorphic Computing and Sensing Market Size and Forecast, in Europe (2024-2035), billions USD.     147
  • Table 40. Global Neuromorphic Computing and Sensing Market Size and Forecast, in Asia-Pacific (2024-2035), billions USD.     149
  • Table 41. Global Neuromorphic Computing and Sensing Market Size and Forecast, in the Rest of the World (2024-2035), billions USD.         151
  • Table 42. Neuromorphic Chip Manufacturers and Their Product Offerings.     154
  • Table 43. Neuromorphic Sensor Manufacturers and Their Product Offerings. 156
  • Table 44. Emerging Non-Volatile Memory (eNVM) Manufacturers and Their Product Offerings.             157
  • Table 45. Neuromorphic Software and Framework Providers and Their Solutions.       158
  • Table 46. Key Research Institutions and Academia in Neuromorphic Computing and Sensing.             159

 

List of Figures

  • Figure 1. Global market for neuromorphic computing and sensors, 2020-2035 (Billions USD).              22
  • Figure 2. Neuromorphic Computing and Sensing Market Segmentation 2020-2035.   23
  • Figure 3.  Total system-level available market 2020-20235 in Million Units.     30
  • Figure 4. Market penetration for neuromorphic technology 2020-2035 (%).      31
  • Figure 5. Neuromorphic computing and sensing technology roadmap.              33
  • Figure 6. Market value chain for neuromorphic computing and sensing.            37
  • Figure 7. Neuromorphic Computing Architecture Diagram.     59
  • Figure 8. Comparison of Conventional and Neuromorphic Memory Architectures.     59
  • Figure 9. Spiking Neural Network (SNN) Structure and Operation.        61
  • Figure 10. Neuromorphic Processor Design Approaches (Digital, Analog, and Mixed-Signal). 71
  • Figure 11. Event-Based Sensor Operation and Data Processing Flow. 82
  • Figure 12. Operation of neuromorphic vision sensors. 83
  • Figure 13. Hybrid Sensing Approach Combining Conventional and Event-Based Sensors.       87
  • Figure 14. Hybrid Sensing Approach Combining Conventional and Event-Based Sensors.       87
  • Figure 15. Global Neuromorphic Computing and Sensing Market Size and Forecast, by Application (2024-2035), billions USD.     102
  • Figure 16. Global Neuromorphic Computing and Sensing Market Size and Forecast, by Market (2024-2035), billions USD.     104
  • Figure 17. Global Neuromorphic Computing and Sensing Market Size and Forecast, by Region (2024-2035), billions USD.     106
  • Figure 18. Global Neuromorphic Computing and Sensing Market Size and Forecast, in Mobile and Consumer Applications (2024-2035), billions USD.             112
  • Figure 19. Autonomous Vehicle Architecture with Neuromorphic Computing and Sensing.    114
  • Figure 20. Global Neuromorphic Computing and Sensing Market Size and Forecast, in Automotive and Transportation (2024-2035), billions USD.         118
  • Figure 21. Industrial IoT System with Neuromorphic Computing and Sensing Components.   119
  • Figure 22. Global Neuromorphic Computing and Sensing Market Size and Forecast, in Industrial and Manufacturing (2024-2035), billions USD.         124
  • Figure 23. Medical Device with Neuromorphic Computing and Sensing Capabilities. 127
  • Figure 24. Global Neuromorphic Computing and Sensing Market Size and Forecast, in Healthcare and Medical Devices (2024-2035), billions USD.       131
  • Figure 25. Drone with Neuromorphic Computing and Sensing for Navigation and Obstacle Avoidance.            133
  • Figure 26. Global Neuromorphic Computing and Sensing Market Size and Forecast, in Aerospace and Defence (2024-2035), billions USD.         137
  • Figure 27. Datacenter Infrastructure with Neuromorphic Computing for Energy Efficiency.    138
  • Figure 28. Global Neuromorphic Computing and Sensing Market Size and Forecast, in Datacenters and Cloud Services (2024-2035), billions USD.      143
  • Figure 29. Global Neuromorphic Computing and Sensing Market Size and Forecast, in North America (2024-2035), billions USD.      146
  • Figure 30. Global Neuromorphic Computing and Sensing Market Size and Forecast, in Europe (2024-2035), billions USD.     148
  • Figure 31. Global Neuromorphic Computing and Sensing Market Size and Forecast, Asia-Pacific (2024-2035), billions USD.     150
  • Figure 32. Global Neuromorphic Computing and Sensing Market Size and Forecast, in in the Rest of the World (2024-2035), billions USD.         152
  • Figure 33. Neuromorphic Computing and Sensing Ecosystem Overview.         154
  • Figure 34.  Intel Loihi 2 chip.     230

 

 

The Global Market for Neuromorphic Computing and Sensing 2024-2035
The Global Market for Neuromorphic Computing and Sensing 2024-2035
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The Global Market for Neuromorphic Computing and Sensing 2024-2035
The Global Market for Neuromorphic Computing and Sensing 2024-2035
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