1. | EXECUTIVE SUMMARY |
1.1. | The quantum sensor market 'at a glance' |
1.2. | Quantum sensors: Analyst viewpoint |
1.3. | What are quantum sensors? |
1.4. | Overview of quantum sensing technologies and applications |
1.5. | The value proposition of quantum sensors varies by hardware approach, application and competition |
1.6. | Comparing the scale of long-term markets (in volume) for key quantum sensing technologies |
1.7. | Why is navigation the most likely mass-market application for quantum sensors? |
1.8. | Investment in quantum sensing is growing |
1.9. | Quantum sensor industry market map |
1.10. | The quantum sensors market will transition from 'emerging' to 'growing' |
1.11. | Scaling up manufacture of miniaturized physics packages is a key challenge for chip-scale quantum sensors |
1.12. | Quantum sensor market - Key forecasting results (1) |
1.13. | Quantum sensor market - Key forecasting results (2) |
1.14. | Quantum sensor market - Key forecasting results (3) |
1.15. | Identifying medium term opportunities in the quantum sensor market: Market size vs CAGR (2025-2035) |
1.16. | Identifying long term opportunities in the quantum sensor market: Market size vs CAGR (2035-2045) |
1.17. | Atomic clocks: Sector roadmap |
1.18. | Quantum Magnetometers: Sector Roadmap |
1.19. | Quantum gravimeters: Sector roadmap |
1.20. | Inertial Quantum Sensors: Sector roadmap |
1.21. | Quantum RF sensors: Sector roadmap |
1.22. | Single photon detectors: Sector roadmap |
2. | INTRODUCTION |
2.1. | What are quantum sensors? |
2.2. | Classical vs Quantum |
2.3. | Quantum phenomena enable highly-sensitive quantum sensing |
2.4. | Key technology platforms for quantum sensing |
2.5. | Overview of quantum sensing technologies and applications |
2.6. | The value proposition of quantum sensors varies by hardware approach, application and competition |
2.7. | The quantum sensors market will transition from 'emerging' to 'growing' |
2.8. | Investment in quantum sensing is growing |
2.9. | Scaling up manufacture of miniaturized physics packages is a key challenge for chip-scale quantum sensors |
2.10. | The use of 'quantum sensor' in marketing |
3. | ATOMIC CLOCKS |
3.1. | Atomic Clocks: Chapter Overview |
3.2. | Atomic Clocks: Technology Overview |
3.2.1. | Introduction: High frequency oscillators for high accuracy clocks |
3.2.2. | Challenges with quartz clocks |
3.2.3. | Hyperfine energy levels and the cesium time standard |
3.2.4. | Atomic clocks self-calibrate for clock drift |
3.2.5. | Identifying disruptive atomic-clock technologies (1) |
3.2.6. | Identifying disruptive atomic-clock technologies (2) |
3.2.7. | Optical atomic clocks |
3.2.8. | Frequency combs for optical clocks and optical quantum systems |
3.2.9. | New modalities enhance fractional uncertainty of atomic clocks |
3.2.10. | Chip Scale Atomic Clocks for portable precision time-keeping |
3.2.11. | Assured positioning, navigation, and timing (PNT) is a key application for chip-scale atomic clocks |
3.2.12. | Rack-sized clocks offer high performance in a more compact and portable form-factor |
3.2.13. | A challenge remains to miniaturize atomic clocks without compromising on accuracy, stability and cost |
3.3. | Atomic Clocks: Key Players |
3.3.1. | Comparing key players in atomic clock hardware development |
3.3.2. | Key players: Lab-based microwave atomic clocks |
3.3.3. | Chip-scale atomic clock player case study: Microsemi and Teledyne |
3.4. | Atomic Clocks: Sector Summary |
3.4.1. | Atomic clocks: End users and addressable markets |
3.4.2. | Atomic clocks: Sector roadmap |
3.4.3. | Atomic Clocks: SWOT analysis |
3.4.4. | Atomic clocks: conclusions and outlook |
4. | QUANTUM MAGNETIC FIELD SENSORS |
4.1. | Overview |
4.1.1. | Quantum magnetic field sensors: Chapter overview |
4.1.2. | Introduction: Quantifying magnetic fields |
4.1.3. | Sensitivity is key to the value proposition for quantum magnetic field sensors |
4.1.4. | High sensitivity applications in healthcare are quantum computing are key market opportunities for quantum magnetic field sensors |
4.1.5. | Classifying magnetic field sensor hardware |
4.2. | Superconducting Quantum Interference Devices (SQUIDs) - Technology, Applications and Key Players |
4.2.1. | Applications of SQUIDs |
4.2.2. | Operating principle of SQUIDs |
4.2.3. | SQUID fabrication services are offered by specialist foundries |
4.2.4. | Commercial applications and market opportunities for SQUIDs |
4.2.5. | Comparing key players with SQUID intellectual property (IP) |
4.2.6. | SQUIDs: SWOT analysis |
4.3. | Optically Pumped Magnetometers (OPMs) - Technology, Applications and Key Players |
4.3.1. | Operating principles of Optically Pumped Magnetometers (OPMs) |
4.3.2. | Applications of optically pumped magnetometers (OPMs) (1) |
4.3.3. | Applications of optically pumped magnetometers (OPMs) (2) |
4.3.4. | MEMS manufacturing techniques and non-magnetic sensor packages key for miniaturized optically pumped magnetometers |
4.3.5. | Comparing key players with OPM intellectual property (IP) |
4.3.6. | Comparing the technology approaches of key players developing miniaturized OPMs for healthcare |
4.3.7. | OPMs: SWOT analysis |
4.4. | Tunneling Magneto Resistance Sensors (TMRs) - Technology, Applications and Key Players |
4.4.1. | Introduction to tunneling magnetoresistance sensors (TMR) |
4.4.2. | Operating principle and advantages of tunneling magnetoresistance sensors (TMR) |
4.4.3. | Comparing key players with TMR intellectual property (IP) |
4.4.4. | Commercial applications and market opportunities for TMRs |
4.4.5. | TMRs: SWOT analysis |
4.5. | Nitrogen Vacancy in Diamond (NV Centers) - Technology, Applications and Key Players |
4.5.1. | Introduction to NV center magnetic field sensors |
4.5.2. | Operating Principles of NV center magnetic field sensors |
4.5.3. | A range of potential applications of NV center magnetic field sensors |
4.5.4. | NV diamond microscopes present novel applications |
4.5.5. | Advantages of NV diamonds and their applications |
4.5.6. | Overview of the synthetic diamond value chain in quantum sensing |
4.5.7. | Quantum grade diamond benchmarked |
4.5.8. | N-V Center Magnetic Field Sensors: SWOT analysis |
4.6. | Quantum Magnetic Field Sensors: Sector Summary |
4.6.1. | Comparing market opportunities for quantum magnetic field sensors |
4.6.2. | Comparing market opportunities for quantum magnetic field sensors |
4.6.3. | Assessing the performance of magnetic field sensors |
4.6.4. | Comparing minimum detectable field and SWaP characteristics |
4.6.5. | Quantum Magnetometers: Sector Roadmap |
4.6.6. | Conclusions and Outlook |
5. | QUANTUM GRAVIMETERS |
5.1. | Quantum gravimeters: Chapter overview |
5.2. | Quantum Gravimeters: Technologies, Applications and Key Players |
5.2.1. | The main application for gravity sensors is for mapping utilities and buried assets |
5.2.2. | Operating principles of atomic interferometry-based quantum gravimeters |
5.2.3. | Comparing quantum gravity sensing with incumbent technologies for underground mapping |
5.2.4. | Comparing key players in quantum gravimeters |
5.2.5. | Quantum gravimeter development depends on collaboration between laser manufacturers, sensor OEMs and end-users |
5.3. | Quantum gravimeters: Sector Summary |
5.3.1. | Quantum Gravimeters: SWOT analysis |
5.3.2. | Quantum gravimeters: Sector roadmap |
5.3.3. | Conclusions and outlook |
6. | INERTIAL QUANTUM SENSORS (GYROSCOPES & ACCELEROMETERS) |
6.1. | Inertial Quantum Sensors: Introduction and Applications |
6.1.1. | Quantum inertial sensors: Chapter overview |
6.1.2. | Inertial Measurement Units (IMUs): An introduction |
6.1.3. | IMU packages: MEMs accelerometers |
6.1.4. | IMU Packages: MEMS Gyroscopes |
6.1.5. | Key application for inertial quantum sensors in small-satellite constellation navigation systems |
6.1.6. | Navigation in GNSS denied environments could be a future application for chip-scale inertial quantum sensors |
6.2. | Quantum Gyroscopes: Technologies, Developments and Key Players |
6.2.1. | Operating principles of atomic quantum gyroscopes |
6.2.2. | MEMS manufacturing processes can miniaturize atomic gyroscope technology for higher volume applications |
6.2.3. | Comparing key players with atomic gyroscope intellectual property (IP) |
6.2.4. | Comparing quantum gyroscopes with MEMs gyroscopes and optical gyroscopes |
6.2.5. | Quantum gyroscope development depends on collaboration between laser manufacturers, sensor OEMs and end-users |
6.2.6. | Comparing key players in quantum gyroscopes |
6.2.7. | Quantum Gyroscopes: SWOT analysis |
6.3. | Quantum Accelerometers: Technologies, Developments and Key Players |
6.3.1. | Operating principles of quantum accelerometers |
6.3.2. | Grating MOTs enable the miniaturization of cold atom quantum sensors |
6.3.3. | Comparing key players in quantum accelerometers |
6.3.4. | Quantum Accelerometers: SWOT Analysis |
6.4. | Inertial Quantum Sensors: Sector Summary |
6.4.1. | Inertial Quantum Sensors: Sector roadmap |
6.4.2. | Conclusions and outlook |
7. | QUANTUM RADIO FREQUENCY FIELD SENSORS |
7.1. | Overview |
7.1.1. | Quantum RF sensors overcome fundamental challenges of their classical counterparts |
7.1.2. | Value proposition of quantum RF sensors |
7.1.3. | Commercial use cases for quantum RF sensors |
7.1.4. | Quantum RF sensors: size and cost development trends |
7.1.5. | Overview of types of quantum RF sensors |
7.2. | Rydberg Atom Based Electric Field Sensors and Radio Receivers |
7.2.1. | Principles of Rydberg atoms: enabling electric field sensing |
7.2.2. | Principles of Rydberg RF sensing: EIT spectroscopy |
7.2.3. | Rydberg RF receivers offer additional benefits including SI-traceability |
7.2.4. | Rydberg RF to enable next-gen 5G communications |
7.2.5. | Commercial Rydberg Radio: Infleqtion, Rydberg Technologies and TZH Quantum Tech |
7.2.6. | Metrology and over-the-air testing offers a near term commercial use for Rydberg RF |
7.2.7. | Top patent holders on Rydberg RF sensors/receivers |
7.2.8. | Research institutes & China leading patents |
7.2.9. | SWOT analysis: Rydberg RF field sensors |
7.3. | Nitrogen-Vacancy Centre Diamond Electric Field Sensors and Radio Receivers |
7.3.1. | Principles of NV centre RF receivers |
7.3.2. | NV diamonds as radio frequency analysers |
7.3.3. | Advantages translate into potential applications |
7.3.4. | EU-backed AMADEUS project leading commercial NV sensor development |
7.3.5. | Current challenges for NV centre electric field sensors |
7.3.6. | Quantum grade diamond benchmarked |
7.3.7. | SWOT analysis: NV diamond electric field sensors and radio receivers |
7.4. | Quantum RF Sensors: Sector Summary |
7.4.1. | Summary of the current market landscape for quantum RF sensors |
7.4.2. | Comparison of RF receivers/sensors is non-trivial and application dependent |
7.4.3. | Quantum RF sensors: Sector roadmap |
7.4.4. | Conclusions and Outlook: Quantum Radio Frequency Field Sensors |
8. | SINGLE PHOTON DETECTORS AND QUANTUM IMAGING |
8.1. | Overview |
8.1.1. | Section overview: single photon detectors and quantum imaging |
8.1.2. | Section overview: contents |
8.1.3. | Single photon imaging and quantum imaging - 3 key trends |
8.2. | Single Photon Detectors |
8.2.1. | Introduction to single photon detectors |
8.2.2. | Classification of single photon detectors in this report |
8.3. | Semiconductor Single Photon Detectors |
8.3.1. | Background and Context |
8.4. | Next generation SPADs |
8.4.1. | Innovation in the next generation of SPADs |
8.4.2. | Key players and innovators in the next generation of SPADs |
8.4.3. | Applications of SPADs formed in a trade-off of resolution and timing performance |
8.4.4. | Development trends for groups of key SPAD players |
8.4.5. | Advanced semiconductor packaging techniques enabling higher pixel counts and timing functionality for SPAD arrays |
8.4.6. | Case Study: Camera giants Canon and Sony developing high-res SPAD arrays for low-light imaging & LiDAR |
8.4.7. | Alternative semiconductor SPADs unlock infrared wavelengths beyond the range of silicon (1) |
8.4.8. | Alternative semiconductor SPADs unlock infrared wavelengths beyond the range of silicon (2) |
8.4.9. | Use of SPADs with TCSPC enables picosecond precision bioimaging and single photon LiDAR |
8.4.10. | High-performance timing resolution with SWIR SPAD arrays enables greenhouse gas LiDAR |
8.4.11. | TCSPC SPAD LiDAR in underwater imaging |
8.4.12. | Bioimaging applications of SPADs |
8.4.13. | Competition or cooperation for SPADs and SNSPDs in quantum communications and computing? |
8.4.14. | Emerging SPADs: SWOT analysis |
8.5. | Superconducting single photon detectors |
8.5.1. | Superconducting nanowire single photon detector (SNSPD) |
8.6. | Kinetic inductance detector (KID) and transition edge sensor (TES) |
8.6.1. | Kinetic Inductance Detectors (KIDs) |
8.6.2. | Transition edge sensors (TES) |
8.6.3. | How have SNSPDs gained traction while KIDs and TESs remain in research? |
8.7. | Single photon detectors: summary |
8.7.1. | Comparison of single photon detector technology |
8.7.2. | Single photon detector roadmap |
8.7.3. | Three key takeaways for single photon detectors |
8.8. | Quantum Imaging |
8.8.1. | Introduction to quantum imaging |
8.8.2. | Quantum entanglement: enabling quantum radar and ghost imaging |
8.8.3. | Introduction to ghost imaging |
8.8.4. | EU FastGhost project leads commercial development of ghost imaging |
8.8.5. | Nonlinear interferometry (quantum holography) |
8.8.6. | QUANCER project developing quantum holography for cancer detection |
8.8.7. | Digistain developing mid-IR nonlinear interferometry for cancer detection |
8.8.8. | A niche form of quantum imaging for glucose monitoring is in the early stages of commercialization |
8.8.9. | Quantum radar |
8.8.10. | General advantages of quantum imaging |
8.8.11. | Quantum particle sensors could probe more information using superposition states of light |
8.8.12. | SWOT analysis: quantum imaging |
8.8.13. | Three key takeaways for quantum imaging |
9. | COMPONENTS FOR QUANTUM SENSING |
9.1. | Section overview: components for quantum sensing |
9.2. | Specialized components for atomic and diamond-based quantum sensing |
9.3. | Key players in components for quantum sensing technologies |
9.4. | Vapor cells: background and context |
9.5. | Innovation in commercial manufacture of vapor cells in quantum sensing |
9.6. | Alkali azides used to overcome high-vacuum fabrication requirements of vapor cells for quantum sensing |
9.7. | Comparing key players in chip-scale vapor cell development |
9.8. | SWOT analysis: miniaturized vapor cells |
9.9. | VCSELs: background and context |
9.10. | VCSELs enable miniaturization of quantum sensors and components |
9.11. | Comparing key players in VCSELs for quantum sensing |
9.12. | SWOT analysis: VCSELs |
9.13. | Specialized control electronics and optics packages needed to enable the high performance of quantum sensors |
9.14. | Integrated photonic and semiconductor products for quantum are developing but not yet unlocking the mass market |
9.15. | Hardware challenges for quantum to integrate into established photonics |
9.16. | Roadmap for components in quantum sensing |
9.17. | Roadmap for quantum sensing components and their applications |
9.18. | Key conclusions for quantum sensing components |
10. | FORECASTS |
10.1. | Introduction |
10.1.1. | Forecasting chapter overview |
10.1.2. | Forecasting methodology overview |
10.1.3. | Comparing the scale of long-term markets (in volume) for key quantum sensing technologies |
10.1.4. | Quantum sensor market - Key forecasting results (1) |
10.1.5. | Quantum sensor market - Key forecasting results (2) |
10.1.6. | Quantum sensor market - Key forecasting results (2) |
10.1.7. | Identifying medium term opportunities in the quantum sensor market: Market size vs CAGR (2025-2035) |
10.1.8. | Identifying long term opportunities in the quantum sensor market: Market size vs CAGR (2035-2045) |
10.1.9. | Total quantum sensor market - granular breakdown 2025-2045 |
10.1.10. | Total quantum sensor market - granular breakdown 2025-2045 (excluding TMR) |
10.2. | Atomic Clocks |
10.2.1. | Overview of atomic clock market trends |
10.2.2. | Bench/rack-scale atomic clocks, annual sales volume forecast (2025-2045) |
10.2.3. | Chip-scale atomic clocks, annual sales volume forecast (2025-2035) |
10.2.4. | Chip-scale atomic clocks, annual sales volume forecast (2025-2045) |
10.2.5. | Summary of market forecasts for atomic clock technology |
10.3. | Quantum Magnetic Field Sensors |
10.3.1. | Overview of quantum magnetic field sensor market trends |
10.3.2. | Global car sales trends to impact the quantum sensor market long-term |
10.3.3. | TMR sensors, annual sales volume forecast (2025-2045) |
10.3.4. | TMR sensors, annual revenue forecast (2025-2045) |
10.3.5. | SQUIDs, OPMs and NVMs - Annual sales volume forecast (2025-2045) |
10.3.6. | SQUIDs, OPMs and NVMs - Annual sales volume forecast (2025-2045) |
10.3.7. | Summary of market forecasts for quantum magnetic field sensor technology |
10.4. | Inertial Quantum Sensors (Gyroscopes and Accelerometers) |
10.4.1. | Overview of inertial quantum sensor market trends |
10.4.2. | Quantum gyroscopes, annual sales volume forecast (2025-2045) |
10.4.3. | Key conclusions for quantum gyroscope technology forecasts |
10.5. | Quantum Gravimeters |
10.5.1. | Overview of quantum gravimeter market trends |
10.5.2. | Quantum gravimeters, annual sales volume forecast (2025-2045) |
10.5.3. | Summary of key conclusions for quantum gravimeter technology forecasts |
10.6. | Quantum RF Sensors |
10.6.1. | Overview of quantum RF sensor market trends |
10.6.2. | Annual sales forecast for quantum RF sensors (2025-2045) |
10.7. | Single Photon Detectors |
10.7.1. | Overview of single photon detector market trends |
10.7.2. | Annual sales volume forecast for single photon detectors (2025-2045) |
10.7.3. | Analysis of single photon detector forecasts: photonic quantum computing |
11. | COMPANY PROFILES |
11.1. | Full profiles |
11.1.1. | Aegiq |
11.1.2. | Artilux |
11.1.3. | Cerca Magnetics |
11.1.4. | Covesion |
11.1.5. | CPI Electron Device Business |
11.1.6. | Diatope |
11.1.7. | Menlo Systems |
11.1.8. | Neuranics |
11.1.9. | Polariton Technologies |
11.1.10. | Powerlase Ltd |
11.1.11. | PsiQuantum |
11.1.12. | Q.ANT |
11.1.13. | Quantum Computing Inc. |
11.1.14. | Quantum Technologies |
11.1.15. | Quantum Valley Ideas Lab |
11.1.16. | QuiX Quantum |
11.1.17. | QZabre |
11.1.18. | SandboxAQ |
11.1.19. | SEEQC |
11.1.20. | Single Quantum |
11.1.21. | XeedQ |
11.2. | Background/Updates |
11.2.1. | Beyond Blood Diagnostics |
11.2.2. | BT |
11.2.3. | CEA Leti |
11.2.4. | Crocus Technologies |
11.2.5. | Digistain |
11.2.6. | Element Six |
11.2.7. | Fraunhofer CAP |
11.2.8. | ID Quantique |
11.2.9. | Infleqtion |
11.2.10. | NIQS Technology Ltd |
11.2.11. | Ordnance Survey |
11.2.12. | Qingyuan Tianzhiheng Sensing Technology Co., Ltd |
11.2.13. | QLM Technology |
11.2.14. | RobQuant |
11.2.15. | Rydberg Technologies |
11.2.16. | SemiWise |
11.2.17. | Senko Advance Components Ltd |
11.2.18. | SureCore |
11.2.19. | TU Darmstadt |
11.2.20. | VTT Manufacturing |