查看购物车
  • Traditional Chinese
  • English
  • Japanese
  • Korean
量子感测器的全球市场(2025年～2035年)
市场调查报告书
商品编码
1565352

量子感测器的全球市场(2025年～2035年)

The Global Market for Quantum Sensors 2025-2035
出版日期: | 出版商: Future Markets, Inc. | 英文 149 Pages, 55 Tables, 28 Figures | 订单完成后即时交付

价格

量子感测是一项新技术，可在原子层级上实现极其精确的测量。与传统感测器相比，它在准确性、一致性和测量频率方面具有优势。该技术可望广泛应用于生命科学、能源、通讯、物流、微电子等产业。量子感测器的主要功能包括先进的监测、成像、导航和识别。具体用例包括从医学影像和脑机介面到优化生产线和增强导航系统。预计到 2030 年，市场影响将缓慢成长，此后可能会显着加速。

目前的量子感测生态系统相对较小，但仍在发展中。虽然量子运算领域有超过 250 家公司，但量子感测器新创公司有 50 家。目前，我们的大部分收入来自组件和合作研究项目，而不是商业化产品。该生态系统以设备和组件最为成熟，而硬体产品仍处于开发阶段。主要关注领域是为各种应用找到灵敏度、尺寸、重量和其他规格的适当平衡。感测器阵列和人工智慧讯号处理等技术正在解决保护感测器免受环境杂讯影响的挑战。

该领域的投资正在成长，其中超过 80% 来自创投和企业投资者。筹集资金最多的五家新创公司获得了总资金的 80% 以上。然而，完整的价值链尚未建立，为新进入者留下了空间。

本报告提供全球量子感测器市场相关调查分析，提供市场促进因素与阻碍因素，机会，课题，未来发展预测，投资形势，案例研究等资讯。

目录

第1章 摘要整理

  • 第1和第2量子革命
  • 目前量子技术的市场形势
    • 主要的发展
  • 投资形势
  • 全球政府的配合措施
  • 产业趋势(2020年～2024年)
  • 量子技术引进的课题
  • 推动市场要素
  • 市场与技术的课题
  • 技术趋势与革新
  • 市场预测和未来发展预测
    • 短期预测(2025年～2027年)
    • 中期预测(2028年～2031年)
    • 长期预测(2032年～2035年)
  • 新应用程式和用例
  • 潜在的颠覆性技术
  • 全球量子感测器市场

第2章 简介

  • 什么是量子感测？
  • 量子感测器的类型
    • 古典的感测器和量子感测器的比较
  • 量子感测的原理
  • 量子感测器的价值主张
  • 目前技术准备层级
  • SWOT分析

第3章 原子手錶

  • 技术概要
  • 高频振盪器
    • 新兴振盪器
  • 铯原子
  • 自校准
  • 新原子钟技术
  • 光学原子钟
    • 晶片规模光手錶
  • 企业
  • SWOT分析
  • 市场预测

第4章 量子磁场感测器

  • 技术概要
  • 使用动机
  • 市场机会
  • 超导性量子干涉计(Squid)
    • 用途
    • 主要指标
    • SWOT分析
  • 光泵浦磁力计(OPM)
    • 用途
    • 主要指标
    • SWOT分析
  • 隧道磁阻感测器(TMR)
    • 用途
    • 主要指标
    • SWOT分析
  • 氮空孔中心(NV中心)
    • 用途
    • 主要指标
    • SWOT分析
  • 市场预测

第5章 量子重力计

  • 技术概要
  • 用途
  • 主要指标
  • 市场预测
  • SWOT分析

第6章 量子陀螺仪

  • 技术的说明
    • 惯性测量单位(IMU)
    • 原子量子陀螺仪
  • 用途
  • 主要指标
  • SWOT分析

第7章 量子影像感测器

  • 技术概要
  • 用途
  • SWOT分析
  • 市场预测
  • 主要指标

第8章 量子雷达

  • 技术概要
  • 用途

第9章 量化学感测器

  • 技术概要
  • 商业活动

第10章 量子NEMS/MEMS

  • 技术概要
  • 种类
  • 用途
  • 课题

第11章 案例研究

  • 医学中的量子感测器：疾病的早期检测
  • 军事用途：增强型导航系统
  • 环境监测
  • 金融领域：高频交易
  • 量子互联网：安全通讯网络

第12章 最终用途产业

  • 医疗，生命科学
    • 医疗图像
    • 药物研发
    • 生物感测
  • 防卫，军事
    • 导航系统
    • 水中探测
    • 通信系统
  • 环境监测
    • 气候变动调查
    • 质地调查
    • 自然灾害预测
    • 其他的用途
  • 石油，天然气(气体)
    • 探勘，调查
    • 开发平台(管线)监测
    • 其他的用途
  • 运输，汽车
    • 自动驾驶车
    • 航太导航
    • 其他的用途
  • 其他的产业
    • 金融，银行
    • 农业
    • 建设
    • 矿业

第13章 企业简介(企业43公司的简介)

第14章 附录

第15章 参考文献

Quantum sensing is an emerging technology that allows for extremely precise measurements at the atomic level. It offers advantages over traditional sensors in terms of accuracy, consistency, and measurement frequency. The technology has broad potential applications across industries like life sciences, energy, communications, logistics, and microelectronics. Key capabilities of quantum sensors include advanced monitoring, imaging, navigation, and identification. Specific use cases range from medical imaging and brain-computer interfaces to optimizing production lines and enhancing navigation systems. The market impact is expected to grow moderately approaching 2030, with potential for significant acceleration thereafter.

The current quantum sensing ecosystem is relatively small but developing. There are less than 50 quantum sensors start-ups, compared to over 250 in quantum computing. Most revenue currently comes from components and joint research projects rather than commercialized products. The ecosystem is most mature in equipment and components, with hardware products still in development. Major focus areas include finding the right balance of sensitivity, size, weight and other specifications for various applications. Challenges like shielding sensors from environmental noise are being addressed through methods like sensor arrays and AI-enhanced signal processing.

Investment in the field is growing, with over 80% coming from venture capital and corporate investors. The five most funded start- ups have received over 80% of total funding. However, the full value chain is still being built, leaving room for new entrants.

Report contents include:

  • Principles of quantum sensing:
    • Explanation of quantum superposition and entanglement
    • How quantum properties are leveraged for sensing
    • Comparison of quantum and classical measurement techniques
    • Key advantages: improved sensitivity, precision, and accuracy
  • Types of quantum sensors:
    • Atomic clocks:
      • Cesium fountain clocks
      • Optical lattice clocks
      • Ion-based atomic clocks
      • Applications in timekeeping, GPS, and financial trading
    • Magnetometers:
      • SQUID magnetometers
      • Optically pumped magnetometers
      • NV center magnetometers
      • Applications in medical imaging, geophysical surveys, and navigation
    • Gravimeters:
      • Atom interferometry-based gravimeters
      • Superconducting gravimeters
      • Applications in oil and mineral exploration, civil engineering, and climate studies
    • Electric field sensors:
      • Rydberg atom-based sensors
      • Single-electron transistor sensors
      • Applications in electronics testing and atmospheric science
    • Quantum imaging devices:
      • Ghost imaging systems
      • Quantum radar
      • Applications in biomedical imaging and stealth technology detection
    • Comparison with classical sensors:
      • Sensitivity improvements: orders of magnitude better in many cases
      • Size and power consumption advantages
      • Limitations and challenges compared to classical sensors
    • Cost considerations and potential for cost reduction
    • Current technological readiness levels:
      • Assessment of each quantum sensor type on the TRL scale
      • Identification of sensors closest to widespread commercial deployment
      • Areas requiring further research and development
    • Market drivers and Market restraints.
    • Market opportunities
    • Market challenges
  • Applications and End-use Industries
    • Healthcare and Life Sciences:
      • Medical imaging:
        • High-resolution MRI using quantum magnetometers
        • Single-molecule imaging for drug discovery
        • Brain activity mapping with increased spatial and temporal resolution
      • Drug discovery:
        • Quantum sensors for analyzing molecular interactions
        • Accelerated screening of potential drug candidates
        • Improved understanding of protein folding and dynamics
      • Biosensing:
        • Ultra-sensitive detection of biomarkers for early disease diagnosis
        • Real-time monitoring of biological processes
        • Quantum-enhanced DNA sequencing technologies
      • Defense and Military:
        • Navigation systems:
          • Quantum inertial measurement units for GPS-independent navigation
          • High-precision timing for synchronized operations
          • Underwater navigation using quantum gravimeters
        • Underwater detection:
          • Quantum magnetometers for submarine detection
          • Quantum gravity gradiometers for underwater mapping
          • Quantum sonar systems with improved range and resolution
        • Communication systems:
          • Quantum-secured communication networks
          • Long-distance quantum key distribution
          • Quantum radar for stealth technology detection
        • Information Technology:
          • Quantum computing:
            • Quantum sensors for error correction in quantum computers
            • Readout systems for quantum bits (qubits)
            • Quantum memory devices
          • Quantum communication:
            • Quantum repeaters for long-distance quantum networks
            • Entanglement distribution for quantum internet
            • Quantum-enhanced optical communication systems
          • Cybersecurity:
            • Quantum random number generators for encryption
            • Quantum key distribution for secure communication
            • Quantum sensing for detecting eavesdropping attempts
    • Environmental Monitoring:
      • Climate change research:
        • High-precision gravity measurements for ice mass changes
        • Quantum-enhanced atmospheric gas sensing
        • Ocean current mapping using quantum magnetometers
      • Geological surveys:
        • Quantum gravimetry for mineral and oil exploration
        • Earthquake prediction using quantum strain sensors
        • Groundwater mapping and monitoring
      • Natural disaster prediction:
        • Early warning systems using quantum gravity sensors
        • Improved weather forecasting with quantum-enhanced measurements
        • Volcanic activity monitoring using quantum gas sensors
    • Oil and Gas:
      • Exploration and surveying:
        • High-resolution underground mapping with quantum gravimeters
        • Improved oil reservoir characterization
        • Quantum magnetometers for pipeline inspection
      • Pipeline monitoring:
        • Leak detection using quantum gas sensors
        • Structural integrity assessment with quantum strain sensors
        • Real-time monitoring of oil and gas flow rates
    • Transportation and Automotive:
      • Autonomous vehicles:
        • Quantum-enhanced GPS-free navigation systems
        • Improved LiDAR systems using quantum sensing
        • Quantum radar for all-weather object detection
      • Aerospace navigation:
        • High-precision inertial measurement units for aircraft
        • Satellite-based quantum sensors for Earth observation
        • Quantum timing systems for improved air traffic control
    • Other Industries:
      • Finance and banking:
        • Ultra-precise timekeeping for high-frequency trading
        • Quantum random number generators for financial modeling
        • Quantum sensors for secure transactions and fraud detection
      • Agriculture:
        • Soil composition analysis using quantum sensors
        • Crop health monitoring with quantum-enhanced hyperspectral imaging
        • Precision agriculture using quantum-based positioning systems
      • Construction:
        • Structural health monitoring with quantum strain sensors
        • Underground utility mapping using quantum gravimetry
        • Improved surveying and land management technique
      • Mining
        • Competitive Landscape including detailed company profiles. Companies profiled include Airbus, Aquark Technologies, Atomionics, Bosch Quantum Sensing, Chipiron, Chiral Nano AG, ColdQuanta, Delta g, EuQlid, Exail Quantum Sensors, Genesis Quantum Technology, ID Quantique, Infleqtion, Ligentec, M Squared Lasers, Mag4Health, Mesa Quantum, Miraex, MuQuans, Nomad Atomics, Nu Quantum, NVision, PhotonForce, Q-CTRL, Qaisec, Qnami, Q.ANT, QuantaMap, QuantCAD LLC, Quantum Diamond Technologies Inc., QuantumDiamonds GmbH, Quantum Optus, Quantum Systems, etc.
        • Technology Trends and Innovations
      • Miniaturization of quantum sensors:
        • Progress in reducing size, weight, and power consumption
        • Challenges in maintaining performance with miniaturization
        • Potential for wearable and mobile quantum sensing devices
      • Room temperature quantum sensors:
        • Advancements in materials and designs for room temperature operation
        • Comparison of performance with cryogenic quantum sensors
        • Potential applications enabled by room temperature operation
      • Hybrid quantum-classical systems:
        • Integration of quantum sensors with classical readout electronics
        • Quantum-enhanced classical sensors
        • Synergies between quantum and classical sensing technologies
      • Quantum networks and distributed sensing:
        • Development of quantum sensor networks
        • Entanglement-based distributed sensing protocols
        • Applications in large-scale environmental and security monitoring
      • AI and machine learning integration:
        • Machine learning algorithms for quantum sensor data analysis
        • AI-driven optimization of quantum sensor operation
        • Predictive maintenance and calibration using AI
      • Quantum-enhanced metrology:
  • Advances in quantum metrology for fundamental constants
  • Quantum-enhanced calibration techniques
  • Impact on international measurement standards
  • Market Forecast and Future Outlook
  • Emerging applications and use cases:
    • Quantum sensors in brain-computer interfaces
    • Applications in anti-aging research and personalized medicine
    • Quantum-enhanced virtual and augmented reality systems
  • Potential disruptive technologies:
    • Hybrid quantum-photonic sensors
    • Topological quantum sensors
    • Quantum sensors based on exotic states of matter
  • Investment Landscape
  • Case Studies
    • Quantum sensors in healthcare: Early disease detection
      • Detailed examination of quantum magnetometer use in early Alzheimer's detection
      • Comparison of sensitivity and accuracy with traditional diagnostic methods
      • Cost-benefit analysis and potential impact on healthcare outcomes
    • Military applications: Enhanced navigation systems
      • Case study of quantum inertial measurement units in submarine navigation
      • Performance comparison with classical navigation systems
      • Implications for strategic defense capabilities
    • Environmental monitoring: Climate change research
      • Application of quantum gravity sensors in measuring ice mass changes
      • Integration with satellite data for comprehensive climate models
      • Impact on climate change predictions and policy decisions
    • Financial sector: High-frequency trading
      • Use of quantum timing systems in high-frequency trading platforms
      • Analysis of performance improvements and economic impact
      • Regulatory considerations and fairness issues
    • Quantum internet: Secure communication networks
      • Pilot project for quantum key distribution in a metropolitan area
      • Technical challenges and solutions in implementing quantum networks
      • Potential applications beyond secure communication

TABLE OF CONTENTS

1. EXECUTIVE SUMMARY

  • 1.1. First and second quantum revolutions
  • 1.2. Current quantum technology market landscape
    • 1.2.1. Key developments
  • 1.3. Investment Landscape
  • 1.4. Global government initiatives
  • 1.5. Industry developments 2020-2024
  • 1.6. Challenges for quantum technologies adoption
  • 1.7. Market Drivers
  • 1.8. Market and technology challenges
  • 1.9. Technology Trends and Innovations
  • 1.10. Market Forecast and Future Outlook
    • 1.10.1. Short-term Outlook (2025-2027)
    • 1.10.2. Medium-term Outlook (2028-2031)
    • 1.10.3. Long-term Outlook (2032-2035)
  • 1.11. Emerging Applications and Use Cases
  • 1.12. Potential Disruptive Technologies
  • 1.13. Global market for quantum sensors

2. INTRODUCTION

  • 2.1. What is quantum sensing?
  • 2.2. Types of quantum sensors
    • 2.2.1. Comparison between classical and quantum sensors
  • 2.3. Quantum Sensing Principles
  • 2.4. Value proposition for quantum sensors
  • 2.5. Current Technological Readiness Levels
  • 2.6. SWOT analysis

3. ATOMIC CLOCKS

  • 3.1. Technology Overview
  • 3.2. High frequency oscillators
    • 3.2.1. Emerging oscillators
  • 3.3. Caesium atoms
  • 3.4. Self-calibration
  • 3.5. New atomic clock technologies
  • 3.6. Optical atomic clocks
    • 3.6.1. Chip-scale optical clocks
  • 3.7. Companies
  • 3.8. SWOT analysis
  • 3.9. Market forecasts

4. QUANTUM MAGNETIC FIELD SENSORS

  • 4.1. Technology overview
  • 4.2. Motivation for use
  • 4.3. Market opportunity
  • 4.4. Superconducting Quantum Interference Devices (Squids)
    • 4.4.1. Applications
    • 4.4.2. Key players
    • 4.4.3. SWOT analysis
  • 4.5. Optically Pumped Magnetometers (OPMs)
    • 4.5.1. Applications
    • 4.5.2. Key players
    • 4.5.3. SWOT analysis
  • 4.6. Tunneling Magneto Resistance Sensors (TMRs)
    • 4.6.1. Applications
    • 4.6.2. Key players
    • 4.6.3. SWOT analysis
  • 4.7. Nitrogen Vacancy Centers (N-V Centers)
    • 4.7.1. Applications
    • 4.7.2. Key players
    • 4.7.3. SWOT analysis
  • 4.8. Market forecasts

5. QUANTUM GRAVIMETERS

  • 5.1. Technology overview
  • 5.2. Applications
  • 5.3. Key players
  • 5.4. Market forecasts
  • 5.5. SWOT analysis

6. QUANTUM GYROSCOPES

  • 6.1. Technology description
    • 6.1.1. Inertial Measurement Units (IMUs)
    • 6.1.2. Atomic quantum gyroscopes
  • 6.2. Applications
  • 6.3. Key players
  • 6.4. SWOT analysis

7. QUANTUM IMAGE SENSORS

  • 7.1. Technology overview
  • 7.2. Applications
  • 7.3. SWOT analysis
  • 7.4. Market forecast
  • 7.5. Key players

8. QUANTUM RADAR

  • 8.1. Technology overview
  • 8.2. Applications

9. QUANTUM CHEMICAL SENSORS

  • 9.1. Technology overview
  • 9.2. Commercial activities

10. QUANTUM NEMS AND MEMS

  • 10.1. Technology overview
  • 10.2. Types
  • 10.3. Applications
  • 10.4. Challenges

11. CASE STUDIES

  • 11.1. Quantum Sensors in Healthcare: Early Disease Detection
  • 11.2. Military Applications: Enhanced Navigation Systems
  • 11.3. Environmental Monitoring
  • 11.4. Financial Sector: High-Frequency Trading
  • 11.5. Quantum Internet: Secure Communication Networks

12. END-USE INDUSTRIES

  • 12.1. Healthcare and Life Sciences
    • 12.1.1. Medical Imaging
    • 12.1.2. Drug Discovery
    • 12.1.3. Biosensing
  • 12.2. Defense and Military
    • 12.2.1. Navigation Systems
    • 12.2.2. Underwater Detection
    • 12.2.3. Communication Systems
  • 12.3. Environmental Monitoring
    • 12.3.1. Climate Change Research
    • 12.3.2. Geological Surveys
    • 12.3.3. Natural Disaster Prediction
    • 12.3.4. Other Applications
  • 12.4. Oil and Gas
    • 12.4.1. Exploration and Surveying
    • 12.4.2. Pipeline Monitoring
    • 12.4.3. Other Applications
  • 12.5. Transportation and Automotive
    • 12.5.1. Autonomous Vehicles
    • 12.5.2. Aerospace Navigation
    • 12.5.3. Other Applications
  • 12.6. Other Industries
    • 12.6.1. Finance and Banking
    • 12.6.2. Agriculture
    • 12.6.3. Construction
    • 12.6.4. Mining

13. COMPANY PROFILES (43 company profiles)

14. APPENDICES

  • 14.1. Research Methodology
  • 14.2. Glossary of Terms
  • 14.3. List of Abbreviations

15. REFERENCES

List of Tables

  • Table 1. First and second quantum revolutions
  • Table 2. Quantum Sensing Technologies and Applications
  • Table 3. Global government initiatives in quantum technologies
  • Table 4. Quantum technologies industry developments 2020-2024
  • Table 5. Challenges for quantum technologies adoption
  • Table 6. Market Drivers for Quantum Sensors
  • Table 7. Market and technology challenges in quantum sensing
  • Table 8. Technology Trends and Innovations in Quantum Sensors
  • Table 9. Emerging Applications and Use Cases
  • Table 10. Potential Disruptive Technologies
  • Table 11. Global market for quantum sensors, by types, 2018-2035 (Millions USD)
  • Table 12.Types of Quantum Sensors
  • Table 13. Comparison between classical and quantum sensors
  • Table 14. Applications in quantum sensors
  • Table 15. Technology approaches for enabling quantum sensing
  • Table 16. Value proposition for quantum sensors
  • Table 17. Key challenges and limitations of quartz crystal clocks vs. atomic clocks
  • Table 18. New modalities being researched to improve the fractional uncertainty of atomic clocks
  • Table 19. Companies developing high-precision quantum time measurement
  • Table 20. Key players in atomic clocks
  • Table 21. Global market for atomic clocks 2025-2035 (Billions USD)
  • Table 22. Comparative analysis of key performance parameters and metrics of magnetic field sensors
  • Table 23. Types of magnetic field sensors
  • Table 24. Market opportunity for different types of quantum magnetic field sensors
  • Table 25. Applications of SQUIDs
  • Table 26. Market opportunities for SQUIDs (Superconducting Quantum Interference Devices)
  • Table 27. Key players in SQUIDs
  • Table 28. Applications of optically pumped magnetometers (OPMs)
  • Table 29. Key players in Optically Pumped Magnetometers (OPMs)
  • Table 30. Applications for TMR (Tunneling Magnetoresistance) sensors
  • Table 31. Market players in TMR (Tunneling Magnetoresistance) sensors
  • Table 32. Applications of N-V center magnetic field centers
  • Table 33. Key players in N-V center magnetic field sensors
  • Table 34. Global market forecasts for quantum magnetic field sensors, by type, 2025-2035 (Millions USD)
  • Table 35. Applications of quantum gravimeters
  • Table 36. Comparative table between quantum gravity sensing and some other technologies commonly used for underground mapping
  • Table 37. Key players in quantum gravimeters
  • Table 38. Global market for Quantum gravimeters 2025-2035 (Millions USD)
  • Table 39. Comparison of quantum gyroscopes with MEMs gyroscopes and optical gyroscopes
  • Table 40. Markets and applications for quantum gyroscopes
  • Table 41. Key players in quantum gyroscopes
  • Table 42. Types of quantum image sensors and their key features
  • Table 43. Applications of quantum image sensors
  • Table 44. Global market for quantum image sensors 2025-2035 (Millions USD)
  • Table 45. Key players in quantum image sensors
  • Table 46. Comparison of quantum radar versus conventional radar and lidar technologies
  • Table 47. Applications of quantum radar
  • Table 48.Types of Quantum NEMS and MEMS
  • Table 49. Quantum Sensors in Healthcare and Life Sciences
  • Table 50. Quantum Sensors in Defense and Military
  • Table 51. Quantum Sensors in Environmental Monitoring
  • Table 52. Quantum Sensors in Oil and Gas
  • Table 53. Quantum Sensors in Transportation
  • Table 54.Glossary of terms
  • Table 55. List of Abbreviations

List of Figures

  • Figure 1. Quantum computing development timeline
  • Figure 2.Quantum investments 2012-2024 (millions USD)
  • Figure 3. National quantum initiatives and funding
  • Figure 4. Quantum Sensors: Market and Technology Roadmap to 2040
  • Figure 5. Global market for quantum sensors, by types, 2018-2035 (Millions USD)
  • Figure 6. Q.ANT quantum particle sensor
  • Figure 7. Current Technological Readiness Levels: Quantum Sensors
  • Figure 8. SWOT analysis for quantum sensors market
  • Figure 9. Strontium lattice optical clock
  • Figure 10. NIST's compact optical clock
  • Figure 11. SWOT analysis for atomic clocks
  • Figure 12. Global market for atomic clocks 2025-2035 (Billions USD)
  • Figure 13.Principle of SQUID magnetometer
  • Figure 14. SWOT analysis for SQUIDS
  • Figure 15. SWOT analysis for OPMs
  • Figure 16. Tunneling magnetoresistance mechanism and TMR ratio formats
  • Figure 17. SWOT analysis for TMR (Tunneling Magnetoresistance) sensors
  • Figure 18. SWOT analysis for N-V Center Magnetic Field Sensors
  • Figure 19. Global market forecasts for quantum magnetic field sensors, by type, 2025-2035 (Millions USD)
  • Figure 20. Quantum Gravimeter
  • Figure 21. Global market for Quantum gravimeters 2025-2035 (Millions USD)
  • Figure 22. SWOT analysis for Quantum Gravimeters
  • Figure 23. SWOT analysis for Quantum Gyroscopes
  • Figure 24. SWOT analysis for Quantum image sensing
  • Figure 25. Global market for quantum image sensors 2025-2035 (Millions USD)
  • Figure 26. Principle of quantum radar
  • Figure 27. Illustration of a quantum radar prototype
  • Figure 28. ColdQuanta Quantum Core (left), Physics Station (middle) and the atoms control chip (right)