The Global Market for Neuromorphic Computing and Sensing 2024-2035

May 2024 | 320 pages | ID: GD14574A8B62EN
Future Markets, Inc.

Abstracts

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.

Contents

1 EXECUTIVE SUMMARY

1.1 Overview of the neuromorphic computing and sensing market
1.2 Ending of Moore’s Law
1.3 Historical market
1.4 The market in 2024
1.5 Key market trends and growth drivers
1.6 Market challenges and limitations
1.7 Future outlook and opportunities
  1.7.1 Emerging trends
  1.7.2 Technology roadmap
1.8 Neuromorphic computing and generative AI
1.9 Market value chain
1.10 Market map
1.11 Funding and investments
1.12 Strategic Partnerships and Collaborations
1.13 Regulatory and Ethical Considerations

2 INTRODUCTION

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

3 NEUROMORPHICI COMPUTING TECHNOLOGIES AND ARCHITECTURE

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

4 NEUROMORPHIC SENSING TECHNOLOGIES AND ARCHITECTURES

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

5 MARKET ANALYSIS AND FORECASTS

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

6 COMPANY PROFILES 162 (159 COMPANY PROFILES)

7 RESEARCH SCOPE & METHODOLOGY

8 REFERENCES

List Of Tables

LIST OF TABLES

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

List Of Figures

LIST OF FIGURES

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