The Global Market for Quantum Sensors 2025-2035
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
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
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
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
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)
1.10.4 Emerging Applications and Use Cases
1.10.5 Potential Disruptive Technologies
1.11 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 Optical atomic clocks
3.5.1 Chip-scale optical clocks
3.6 Companies
3.7 SWOT analysis
3.8 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
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
12.4 Oil and Gas
12.4.1 Exploration and Surveying
12.4.2 Pipeline Monitoring
12.5 Transportation and Automotive
12.5.1 Autonomous Vehicles
12.5.2 Aerospace Navigation
12.6 Other Industries
12.6.1 Finance and Banking
12.6.2 Agriculture
12.6.3 Construction
13 COMPANY PROFILES 106 (45 COMPANY PROFILES)
14 APPENDICES
14.1 Research Methodology
14.2 Glossary of Terms
14.3 12. List of Abbreviations
15 REFERENCES
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)
1.10.4 Emerging Applications and Use Cases
1.10.5 Potential Disruptive Technologies
1.11 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 Optical atomic clocks
3.5.1 Chip-scale optical clocks
3.6 Companies
3.7 SWOT analysis
3.8 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
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
12.4 Oil and Gas
12.4.1 Exploration and Surveying
12.4.2 Pipeline Monitoring
12.5 Transportation and Automotive
12.5.1 Autonomous Vehicles
12.5.2 Aerospace Navigation
12.6 Other Industries
12.6.1 Finance and Banking
12.6.2 Agriculture
12.6.3 Construction
13 COMPANY PROFILES 106 (45 COMPANY PROFILES)
14 APPENDICES
14.1 Research Methodology
14.2 Glossary of Terms
14.3 12. List of Abbreviations
15 REFERENCES
LIST OF TABLES
Table 1. First and second quantum revolutions.
Table 2. Global government initiatives in quantum technologies.
Table 3. Quantum technologies industry developments 2020-2024.
Table 4. Challenges for quantum technologies adoption.
Table 5. Market and technology challenges in quantum sensing.
Table 6. Global market for quantum sensors, by types, 2018-2035 (Millions USD).
Table 7. Comparison between classical and quantum sensors.
Table 8. Applications in quantum sensors.
Table 9. Technology approaches for enabling quantum sensing
Table 10. Value proposition for quantum sensors.
Table 11. Key challenges and limitations of quartz crystal clocks vs. atomic clocks.
Table 12. New modalities being researched to improve the fractional uncertainty of atomic clocks.
Table 13. Companies developing high-precision quantum time measurement
Table 14. Key players in atomic clocks.
Table 15. Global market for atomic clocks 2025-2035 (Billions USD).
Table 16. Comparative analysis of key performance parameters and metrics of magnetic field sensors.
Table 17. Types of magnetic field sensors.
Table 18. Market opportunity for different types of quantum magnetic field sensors.
Table 19. Applications of SQUIDs.
Table 20. Market opportunities for SQUIDs (Superconducting Quantum Interference Devices).
Table 21. Key players in SQUIDs.
Table 22. Applications of optically pumped magnetometers (OPMs).
Table 23. Key players in Optically Pumped Magnetometers (OPMs).
Table 24. Applications for TMR (Tunneling Magnetoresistance) sensors.
Table 25. Market players in TMR (Tunneling Magnetoresistance) sensors.
Table 26. Applications of N-V center magnetic field centers
Table 27. Key players in N-V center magnetic field sensors.
Table 28. Global market forecasts for quantum magnetic field sensors, by type, 2025-2035 (Millions USD).
Table 29. Applications of quantum gravimeters
Table 30. Comparative table between quantum gravity sensing and some other technologies commonly used for underground mapping.
Table 31. Key players in quantum gravimeters.
Table 32. Global market for Quantum gravimeters 2025-2035 (Millions USD).
Table 33. Comparison of quantum gyroscopes with MEMs gyroscopes and optical gyroscopes.
Table 34. Markets and applications for quantum gyroscopes.
Table 35. Key players in quantum gyroscopes.
Table 36. Types of quantum image sensors and their key features/.
Table 37. Applications of quantum image sensors.
Table 38. Global market for quantum image sensors 2025-2035 (Millions USD).
Table 39. Key players in quantum image sensors.
Table 40. Comparison of quantum radar versus conventional radar and lidar technologies.
Table 41. Applications of quantum radar.
Table 1. First and second quantum revolutions.
Table 2. Global government initiatives in quantum technologies.
Table 3. Quantum technologies industry developments 2020-2024.
Table 4. Challenges for quantum technologies adoption.
Table 5. Market and technology challenges in quantum sensing.
Table 6. Global market for quantum sensors, by types, 2018-2035 (Millions USD).
Table 7. Comparison between classical and quantum sensors.
Table 8. Applications in quantum sensors.
Table 9. Technology approaches for enabling quantum sensing
Table 10. Value proposition for quantum sensors.
Table 11. Key challenges and limitations of quartz crystal clocks vs. atomic clocks.
Table 12. New modalities being researched to improve the fractional uncertainty of atomic clocks.
Table 13. Companies developing high-precision quantum time measurement
Table 14. Key players in atomic clocks.
Table 15. Global market for atomic clocks 2025-2035 (Billions USD).
Table 16. Comparative analysis of key performance parameters and metrics of magnetic field sensors.
Table 17. Types of magnetic field sensors.
Table 18. Market opportunity for different types of quantum magnetic field sensors.
Table 19. Applications of SQUIDs.
Table 20. Market opportunities for SQUIDs (Superconducting Quantum Interference Devices).
Table 21. Key players in SQUIDs.
Table 22. Applications of optically pumped magnetometers (OPMs).
Table 23. Key players in Optically Pumped Magnetometers (OPMs).
Table 24. Applications for TMR (Tunneling Magnetoresistance) sensors.
Table 25. Market players in TMR (Tunneling Magnetoresistance) sensors.
Table 26. Applications of N-V center magnetic field centers
Table 27. Key players in N-V center magnetic field sensors.
Table 28. Global market forecasts for quantum magnetic field sensors, by type, 2025-2035 (Millions USD).
Table 29. Applications of quantum gravimeters
Table 30. Comparative table between quantum gravity sensing and some other technologies commonly used for underground mapping.
Table 31. Key players in quantum gravimeters.
Table 32. Global market for Quantum gravimeters 2025-2035 (Millions USD).
Table 33. Comparison of quantum gyroscopes with MEMs gyroscopes and optical gyroscopes.
Table 34. Markets and applications for quantum gyroscopes.
Table 35. Key players in quantum gyroscopes.
Table 36. Types of quantum image sensors and their key features/.
Table 37. Applications of quantum image sensors.
Table 38. Global market for quantum image sensors 2025-2035 (Millions USD).
Table 39. Key players in quantum image sensors.
Table 40. Comparison of quantum radar versus conventional radar and lidar technologies.
Table 41. Applications of quantum radar.
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. Global market for quantum sensors, by types, 2018-2035 (Millions USD).
Figure 5. Q.ANT quantum particle sensor.
Figure 6. Current Technological Readiness Levels: Quantum Sensors.
Figure 7. SWOT analysis for quantum sensors market.
Figure 8. NIST's compact optical clock.
Figure 9. SWOT analysis for atomic clocks.
Figure 10. Global market for atomic clocks 2025-2035 (Billions USD).
Figure 11.Principle of SQUID magnetometer.
Figure 12. SWOT analysis for SQUIDS.
Figure 13. SWOT analysis for OPMs
Figure 14. Tunneling magnetoresistance mechanism and TMR ratio formats.
Figure 15. SWOT analysis for TMR (Tunneling Magnetoresistance) sensors.
Figure 16. SWOT analysis for N-V Center Magnetic Field Sensors.
Figure 17. Global market forecasts for quantum magnetic field sensors, by type, 2025-2035 (Millions USD).
Figure 18. Quantum Gravimeter.
Figure 19. Global market for Quantum gravimeters 2025-2035 (Millions USD).
Figure 20. SWOT analysis for Quantum Gravimeters.
Figure 21. SWOT analysis for Quantum Gyroscopes.
Figure 22. SWOT analysis for Quantum image sensing.
Figure 23. Global market for quantum image sensors 2025-2035 (Millions USD).
Figure 24. Principle of quantum radar.
Figure 25. Illustration of a quantum radar prototype.
Figure 26. ColdQuanta Quantum Core (left), Physics Station (middle) and the atoms control chip (right).
Figure 1. Quantum computing development timeline.
Figure 2.Quantum investments 2012-2024 (millions USD).
Figure 3. National quantum initiatives and funding.
Figure 4. Global market for quantum sensors, by types, 2018-2035 (Millions USD).
Figure 5. Q.ANT quantum particle sensor.
Figure 6. Current Technological Readiness Levels: Quantum Sensors.
Figure 7. SWOT analysis for quantum sensors market.
Figure 8. NIST's compact optical clock.
Figure 9. SWOT analysis for atomic clocks.
Figure 10. Global market for atomic clocks 2025-2035 (Billions USD).
Figure 11.Principle of SQUID magnetometer.
Figure 12. SWOT analysis for SQUIDS.
Figure 13. SWOT analysis for OPMs
Figure 14. Tunneling magnetoresistance mechanism and TMR ratio formats.
Figure 15. SWOT analysis for TMR (Tunneling Magnetoresistance) sensors.
Figure 16. SWOT analysis for N-V Center Magnetic Field Sensors.
Figure 17. Global market forecasts for quantum magnetic field sensors, by type, 2025-2035 (Millions USD).
Figure 18. Quantum Gravimeter.
Figure 19. Global market for Quantum gravimeters 2025-2035 (Millions USD).
Figure 20. SWOT analysis for Quantum Gravimeters.
Figure 21. SWOT analysis for Quantum Gyroscopes.
Figure 22. SWOT analysis for Quantum image sensing.
Figure 23. Global market for quantum image sensors 2025-2035 (Millions USD).
Figure 24. Principle of quantum radar.
Figure 25. Illustration of a quantum radar prototype.
Figure 26. ColdQuanta Quantum Core (left), Physics Station (middle) and the atoms control chip (right).
