1. | EXECUTIVE SUMMARY |
1.1. | Introduction to Sensor Technology |
1.2. | Overview of major sensor technology markets |
1.3. | Many multi-billion-dollar electronics companies compete for the established sensor market - but their revenue share can be comparable to more specialist players |
1.4. | Total Sensor Market 2025-2035: Annual Revenue (USD, Billions) |
1.5. | Total Sensor Market 2025-2035: Annual Revenue (USD, Millions) - Granular Breakdown |
1.6. | Connecting operating principles, metrics and manufacturing formats |
1.7. | Key drivers and global-trends impacting the sensor market |
1.8. | Sensor technology market roadmap |
1.9. | Overview of key sensor technology innovations and applications for future markets |
2. | MARKET FORECASTS |
2.1. | Market Forecasts: Methodology Outline |
2.2. | Sensor Market Categories included in these forecasts |
2.3. | Total Sensor Market 2025-2035: Annual Revenue (USD, Billions) |
2.4. | Total Sensor Market 2025-2035: Annual Revenue (USD, Millions) - Granular Breakdown |
2.5. | Established Sensor Market: Ten-year gas sensor technology forecast (2025-2035), annual revenue (USD, Millions) |
2.6. | Established Sensor Market: Ten-year semiconductor sensor technology forecast (2025-2035), annual revenue (USD, Millions) |
2.7. | Established Sensor Market: Ten-year automotive and aerospace sensor technology forecast (2025-2035), annual revenue (USD, Millions) |
2.8. | Established Sensor Market: Ten-year biosensor sensor technology forecast (2025-2035), annual revenue (USD, Millions) |
2.9. | Emerging Sensor Market: Ten-year quantum sensor technology forecast (2025-2035), annual revenue (USD, Millions) |
2.10. | Emerging Sensor Market: Ten-year silicon photonic sensor technology forecast (2025-2035), annual revenue (USD, Millions) |
2.11. | Emerging Sensor Market: Ten-year printed sensor technology forecast (2025-2035), annual revenue (USD, Millions) |
2.12. | Emerging Sensor Market: Ten-year emerging image sensor technology forecast (2025-2035), annual revenue (USD, Millions) |
2.13. | Emerging Sensor Market: Ten-year sensors for future mobility forecast (2025-2035), annual revenue (USD, Millions); LiDAR, RADAR, CAMERA, IR and in-cabin-sensing |
2.14. | Total Sensor Market 2025-2035: Annual Revenue (USD, Millions) - Data Table |
3. | INTRODUCTION |
3.1. | Introduction to the Sensor Market - Chapter Overview |
3.2. | Introduction to Sensor Technology |
3.3. | Overview of major sensor technology markets |
3.4. | Many multi-billion-dollar electronics companies compete for the established sensor market - but their revenue share can be comparable to more specialist players |
3.5. | Overview of some typical sensor technology product categories |
3.6. | Connecting operating principles, metrics and manufacturing formats |
3.7. | General trends separating emerging and established sensor tech |
3.8. | Key drivers and global-trends impacting the sensor market |
3.9. | Sensor technology market roadmap |
3.10. | Overview of key sensor technology innovations and applications for future markets |
3.11. | What are the mega trends in future mobility? |
3.12. | What is the role of sensors in future mobility technology? |
3.13. | Near term IoT markets trends set to revolve around edge sensing as the industry shifts from the cloud to the edge |
3.14. | Roadmap of the mega-trends in wearable technology |
3.15. | Overview of the landscape for wearable sensor innovation |
3.16. | Introduction to 6G and expected improvements in sensing compared to 5G |
3.17. | Overview of 6G applications beyond mobile communications - including THz sensing and imaging |
3.18. | The value proposition of mmWave and THz frequencies for sensing |
3.19. | Key conclusions on the sensor technology market: technologies and trends |
4. | NEXT GENERATION SENSOR TECHNOLOGY INNOVATIONS |
4.1. | Chapter Overview and Related IDTechEx Reports |
4.2. | Emerging Image Sensors |
4.2.1. | Overview of the Emerging Image Sensors Section |
4.2.2. | Emerging image sensors: summary of key conclusions |
4.2.3. | Emerging image sensors: Key players overview (I) |
4.2.4. | Emerging image sensors: Key players overview (II) |
4.2.5. | SWIR imaging: overview and key conclusions |
4.2.6. | SWIR imaging: emerging technology options |
4.2.7. | SWIR sensors: applications and key players |
4.2.8. | OPD-on-CMOS hybrid image sensors: overview, conclusions and key players |
4.2.9. | OPD-on-CMOS detectors: technology readiness level roadmap by application |
4.2.10. | QD-on-Si/QD-on-CMOS imaging: fundamentals, value proposition and key conclusions |
4.2.11. | Hyperspectral imaging: overview and key conclusions |
4.2.12. | Hyperspectral imaging: wavelength range vs spectral resolution |
4.2.13. | Miniaturized spectrometers: overview and key conclusions |
4.2.14. | Miniaturized spectrometers: targeting a wide range of sectors |
4.2.15. | Miniaturized spectrometers: key players and key differentiators |
4.2.16. | Event-based sensing: overview and key conclusions |
4.2.17. | Event-based vision: application requirements |
4.2.18. | LIDAR: overview of operating principles |
4.2.19. | LIDAR: value proposition |
4.2.20. | LIDAR: Technology Challenges |
4.2.21. | LIDAR: ecosystem and key players |
4.3. | Gas Sensors |
4.3.1. | Overview of the gas sensor section and analyst viewpoint |
4.3.2. | The gas sensor market 'at a glance' |
4.3.3. | Gas Sensor Market Summary: Drivers for change? |
4.3.4. | Overview of Metal Oxide (MOx) gas sensors |
4.3.5. | Identifying key MOx sensors manufacturers |
4.3.6. | Key conclusions and SWOT analysis of MOx gas sensors |
4.3.7. | Introduction to electrochemical gas sensors |
4.3.8. | Major manufacturers of electrochemical sensors |
4.3.9. | Key conclusions and SWOT analysis of electrochemical gas sensors |
4.3.10. | Introduction to infrared gas sensors |
4.3.11. | Identifying key infra-red gas sensor manufacturers |
4.3.12. | Key conclusions and SWOT analysis of infra-red gas sensors |
4.3.13. | Introduction to photoionization detectors (PID) |
4.3.14. | Categorization of ionization detector manufacturers |
4.3.15. | Key conclusions and SWOT analysis of photo-ionization detectors |
4.3.16. | Optical Particle Counter |
4.3.17. | Identifying key optical particle counter manufacturers |
4.3.18. | SWOT analysis of Optical Particle Counters |
4.3.19. | Key Conclusions: Optical particle counters |
4.3.20. | Principle of Sensing: Photoacoustic |
4.3.21. | Sensirion and Infineon offer a miniaturized photo-acoustic carbon dioxide sensor |
4.3.22. | SWOT analysis of photo acoustic gas sensors |
4.3.23. | Principle of Sensing: E-Nose |
4.3.24. | Advantages and disadvantaged of sensor types for E-Nose |
4.3.25. | Categorization of e-nose manufacturers |
4.3.26. | SWOT analysis of E-noses |
4.3.27. | E-nose Summary: Specific aromas a better opportunity than a nose |
4.4. | Printed and Flexible Sensors |
4.4.1. | Introduction to the printed and flexible sensor market |
4.4.2. | Summary of key growth markets for printed sensor technology |
4.4.3. | Key takeaways segmented by printed/flexible sensor technology |
4.4.4. | Piezoresistive Sensors: Market map of applications and players |
4.4.5. | Challenges facing printed piezoelectric sensors |
4.4.6. | Readiness level snapshot of printed piezoelectric sensors |
4.4.7. | Conclusions for printed and flexible piezoelectric sensors |
4.4.8. | Opportunities for printed photodetectors in large area flexible sensing |
4.4.9. | Supplier overview: Thin film photodetectors |
4.4.10. | Conclusions for printed and flexible image sensors |
4.4.11. | Printed temperature sensors continue to attract interest for thermal management applications |
4.4.12. | Printed temperature sensor supplier overview |
4.4.13. | Technology readiness level snapshot of printed temperature sensors |
4.4.14. | Conclusions for printed and flexible temperature sensors |
4.4.15. | Opportunities for printed strain sensors could expand beyond motion capture into battery management long term |
4.4.16. | Capacitive strain sensor value & supply chain |
4.4.17. | Summary: Strain sensors |
4.4.18. | Outlook for printed gas sensor technology |
4.4.19. | ITO coating innovations and indium price stabilization impact printed capacitive sensor growth markets |
4.4.20. | Readiness level of printed capacitive touch sensors materials and technologies |
4.4.21. | Conformal and curved surface touch sensing applications emerge for printed capacitive sensors |
4.4.22. | Conclusions for printed and flexible capacitive touch sensors |
4.4.23. | Opportunities for printed electrodes in the wearables market |
4.4.24. | Printed sensors in flexible hybrid electronics |
4.4.25. | SWOT analysis for each printed sensor category (I) |
4.4.26. | SWOT analysis for each printed sensor category (II) |
4.4.27. | SWOT analysis for each printed sensor category (III) |
4.5. | Silicon Photonics |
4.5.1. | What are Photonic Integrated Circuits (PICs)? |
4.5.2. | Advantages and Challenges of Photonic Integrated Circuits |
4.5.3. | Key Current & Future Photonic Integrated Circuits Applications |
4.5.4. | Opportunities for PIC Sensors: Biomedical |
4.5.5. | Market players developing PIC Biosensors |
4.5.6. | Opportunities for PIC Sensors: Gas Sensors |
4.5.7. | Market players developing PIC-based Gas Sensors |
4.5.8. | Opportunities for PIC Sensors: Structural Health Sensors |
4.5.9. | Market players developing Spectroscopy PICs |
4.5.10. | Opportunities for PIC Sensors: LiDAR Sensors |
4.5.11. | Core Aspects of LiDAR |
4.5.12. | Market players developing PIC-based LiDAR (1) |
4.5.13. | Market players developing PIC-based LiDAR (2) |
4.5.14. | LiDAR Wavelength and Material Trends |
4.5.15. | Major challenges of PIC-based FMCW lidars |
4.6. | Quantum Sensors |
4.6.1. | What are quantum sensors? |
4.6.2. | The quantum sensor market 'at a glance' |
4.6.3. | Quantum sensors: Analyst viewpoint |
4.6.4. | Quantum sensor industry market map |
4.6.5. | Atomic clocks self-calibrate for clock drift |
4.6.6. | Atomic Clocks: SWOT analysis |
4.6.7. | Atomic clocks: Sector roadmap |
4.6.8. | Sensitivity is key to the value proposition for quantum magnetic field sensors |
4.6.9. | Operating principles of Optically Pumped Magnetometers (OPMs) |
4.6.10. | OPMs: SWOT analysis |
4.6.11. | Introduction to N-V center magnetic field sensors |
4.6.12. | N-V Center Magnetic Field Sensors: SWOT analysis |
4.6.13. | Quantum magnetometers: Sector roadmap |
4.6.14. | Quantum gravimeters: Chapter overview |
4.6.15. | Operating principles of atomic interferometry-based quantum gravimeters |
4.6.16. | Quantum Gravimeters: SWOT analysis |
4.6.17. | Quantum gravimeters: Sector roadmap |
4.6.18. | Quantum gyroscopes: Chapter overview |
4.6.19. | Operating principles of atomic quantum gyroscopes |
4.6.20. | MEMS manufacturing processes can miniaturize atomic gyroscope technology for higher volume applications |
4.6.21. | Quantum gyroscopes: Sector roadmap |
4.6.22. | Overview of Quantum Image Sensors |
4.7. | Biosensors |
4.7.1. | Layout of a biosensor |
4.7.2. | Bioreceptors: benefits and drawbacks of each type |
4.7.3. | Optical transducers: benefits and drawbacks of each type |
4.7.4. | Electrochemical transducers: benefits and drawbacks of each type |
4.7.5. | Applications for biosensors at the point-of-care |
4.7.6. | In vitro diagnostics |
4.7.7. | Growing market for in vitro diagnostics |
4.7.8. | The value of point-of-care testing |
4.7.9. | In vitro diagnostics trending toward point-of-care testing (POCT) |
4.7.10. | Mechanism of the lateral flow assay |
4.7.11. | Minimalizing sample handling with integrated cartridges |
4.7.12. | Value ecosystem of POCT devices |
4.7.13. | Market dynamics |
4.8. | Nanocarbon Sensors |
4.8.1. | Expanding graphene wafer capacity and adoption |
4.8.2. | Structural health monitoring |
4.8.3. | Gas sensors |
4.8.4. | Temperature and humidity sensors |
4.8.5. | Emerging role in silicon photonics |
4.8.6. | Outlook for carbon materials in sensors |
5. | EDGE SENSING AND AI |
5.1. | Edge sensing: Introduction |
5.1.1. | Edge sensing: Chapter overview |
5.1.2. | What is edge sensing |
5.1.3. | Edge versus cloud computing for emerging sensor applications |
5.1.4. | The rise of edge sensing tracks with a broader industry shift from cloud to edge computing |
5.1.5. | Market drivers for edge sensing |
5.2. | Edge sensing: Technologies |
5.2.1. | Edge sensors: Technical breakdown and key components |
5.2.2. | Edge sensing internet of things architecture |
5.2.3. | Evaluating cloud, edge, and endpoint sensing and associated enabling technologies |
5.2.4. | High efficiency computing hardware has unlocked edge sensing |
5.2.5. | Low-power designs are critical for edge sensor devices |
5.2.6. | Case study: Low-power edge sensor asset tracker |
5.2.7. | Edge sensing and edge AI are converging and will unlock predictive and proscriptive functionality |
5.2.8. | Edge AI enables data processing and inference on endpoint devices |
5.2.9. | Challenges facing edge sensors |
5.3. | Edge sensing: Markets and applications |
5.3.1. | Edge sensors: Market overview |
5.3.2. | Opportunity for improving energy efficiency in smart buildings with building automation |
5.3.3. | Edge sensors enabling low-power occupancy monitoring and smart security |
5.3.4. | Edge sensing will unlock predictive maintenance in industrial IoT |
5.3.5. | Roadmap of the evolving role of sensors in industrial IoT |
5.3.6. | Richer structural health monitoring insight with edge AI-enabled sensing |
5.3.7. | Edge sensors can improve workplace safety in remote and hazardous locations |
5.3.8. | AI-enabled edge sensing in wearables |
5.3.9. | Edge sensor and edge AI promise continues innovation in established consumer electronics applications and smart retail |
5.3.10. | Evaluation of edge sensing application requirements |
5.3.11. | Key edge sensor markets: Emerging applications, opportunities and threats |
5.4. | Edge sensing: Conclusions |
5.4.1. | Summary of edge sensor technologies and market outlook |
5.4.2. | Technology readiness level of edge sensor applications |
5.4.3. | SWOT analysis of edge sensors and edge AI |
5.4.4. | Key players in edge sensing: Sensors and product integrators |
5.4.5. | Key players in edge sensing: IC, SoC, and cloud service suppliers |
6. | WEARABLE SENSORS |
6.1. | Overview of the wearable sensors section and technology landscape |
6.1.1. | Wearable technology takes many form factors |
6.1.2. | Overview of wearable sensor types |
6.1.3. | Connecting form factors, wearable sensors and metrics |
6.1.4. | Roadmap of wearable sensor technology segmented by key biometrics (1) |
6.1.5. | Roadmap of wearable sensor technology segmented by key biometrics |
6.1.6. | Wearable devices for medical and wellness applications increasingly overlap |
6.2. | Wearable Motion Sensors |
6.2.1. | Wearable motion sensors: introduction |
6.2.2. | IMUs for smart-watches: major players and industry dynamic |
6.2.3. | Wearable magnetometer suppliers and industry dynamic |
6.2.4. | Overview of emerging use-cases for wearable motion sensors |
6.2.5. | MEMS-based IMUs for wearable motion sensing: |
6.2.6. | SWOT Analysis |
6.2.7. | Wearable motion sensors: sector roadmap |
6.2.8. | MEMS-based IMUs for wearable motion sensing: |
6.2.9. | Outlook |
6.3. | Wearable Optical Sensors |
6.3.1. | Wearable optical sensors: introduction |
6.3.2. | Wearable optical sensors: photoplethysmography (PPG) |
6.3.3. | Wearable PPG: applications and key players |
6.3.4. | Wearable optical sensors: obtaining blood oxygen from PPG |
6.3.5. | Wearable optical sensors: market outlook and technology readiness of pulse oximetery |
6.3.6. | Wearable optical sensors: progress of non-invasive blood pressure sensing |
6.3.7. | Wearable optical sensors: overview of technologies for cuff-less blood pressure |
6.3.8. | Wearable optical sensors: SWOT Analysis for heart-rate, pulse-ox, blood pressure and glucose monitoring |
6.3.9. | Wearable optical sensors: key conclusions |
6.4. | Wearable Electrodes |
6.4.1. | Wearable electrodes: overview of key types |
6.4.2. | Wearable electrodes: wet vs dry |
6.4.3. | Wearable electrodes: microneedles |
6.4.4. | Wearable electrodes: electronic skins (also known as 'epidermal electronics') |
6.4.5. | Wearable electrodes: applications and product types |
6.4.6. | Wearable electrodes: key players |
6.4.7. | Wearable electrodes: consolidated SWOT analysis |
6.4.8. | Wearable electrodes: key conclusions |
6.5. | Wearable Temperature Sensors |
6.5.1. | Wearable temperature sensors: introduction |
6.5.2. | Wearable body temperature sensors: key players, form factors and applications |
6.5.3. | Wearable temperature sensors: sector roadmap |
6.5.4. | Wearable temperature sensors: SWOT analysis |
6.5.5. | Wearable temperature sensors: key conclusions |
6.6. | Wearable CGMs |
6.6.1. | Wearable Chemical Sensors: overview |
6.6.2. | Wearable chemical sensors: analyte selection and availability |
6.6.3. | Wearable chemical sensors: operating principle typical CGM device |
6.6.4. | CGM: overview of key players |
6.6.5. | Wearable glucose sensors SWOT analysis of chemical vs. alternatives |
6.6.6. | Wearable chemical sensors: roadmap for glucose sensing and key conclusions |
6.6.7. | Wearable chemical sensors: use-cases, stakeholders, key players and SWOT analysis of wearable alcohol sensors |
6.6.8. | Wearable chemical sensors: use-cases, stakeholders, key players and SWOT analysis of wearable lactate/lactic acid sensors |
6.6.9. | Wearable chemical sensors: use-cases, stakeholders, key players and SWOT analysis of wearable hydration sensors |
6.6.10. | Market readiness of wearable sensors for novel biometrics |
6.6.11. | Wearable sensors for novel biometrics: key conclusions |
6.7. | Sensors for XR |
6.7.1. | What are VR, AR, MR and XR? |
6.7.2. | Controllers and sensing connect XR devices to the environment and the user |
6.7.3. | Beyond positional tracking: What else might XR headsets track? |
6.7.4. | Where are XR sensors located? |
6.7.5. | 3D imaging and motion capture |
6.7.6. | Stereoscopic vision |
6.7.7. | Time of Flight (ToF) cameras for depth sensing |
6.7.8. | Structured light |
6.7.9. | Comparison of 3D imaging technologies |
6.7.10. | Sensors for XR: Positional and motion tracking, sector roadmap |
6.7.11. | Why is eye tracking important for AR/VR devices? |
6.7.12. | Eye tracking sensor categories |
6.7.13. | Eye tracking using cameras with machine vision |
6.7.14. | Eye tracking companies based on conventional/NIR cameras and machine vision software |
6.7.15. | Sensors for XR: Event-based vision for AR/VR eye tracking |
6.7.16. | Sensors for XR: eye tracking with laser scanning MEMS |
6.7.17. | Sensors for XR: capacitive sensing of eye movement |
6.7.18. | Eye tracking for XR: sector roadmap |
7. | SENSORS FOR FUTURE MOBILITY MARKETS |
7.1. | Future Mobility Megatrends |
7.1.1. | What are the mega trends in future mobility? |
7.1.2. | Chapter Overview |
7.1.3. | Summary and outlook for sensors in future mobility applications |
7.1.4. | Main conclusions: Sensors for Future Mobility Markets |
7.2. | Sensors for Electrification |
7.2.1. | Electric Vehicles: Basic Principle |
7.2.2. | Monitoring current, voltage, time and temperature is core to BMS functionality |
7.2.3. | Trends in battery management systems - sensors most relevant to greater sophistication in state estimation |
7.2.4. | Sensors play an evolving role in EV charging infrastructure |
7.2.5. | The rise of the EV could shift the role of gas sensors from emissions testing to battery management |
7.2.6. | Value proposition of gas sensors on battery monitoring: Early thermal runaway detection |
7.2.7. | Comparing approaches to commercializing gas sensors for battery monitoring |
7.3. | Sensors for Automation |
7.3.1. | SAE Levels of Automation in Cars |
7.3.2. | The Big Three Sensors |
7.3.3. | Sensor Requirements for Different Levels of Autonomy |
7.3.4. | Sensor Suite Costs |
7.3.5. | Front Radar and Side Radar Applications |
7.3.6. | Vehicle Camera Applications |
7.3.7. | LiDARs in Automotive Applications |
7.3.8. | The IR Spectrum and autonomy applications |
7.3.9. | Key Components of a Thermal Camera |
7.3.10. | Uncooled Sensor Material Choice Summary |
7.3.11. | Microbolometer Suppliers and Materials |
7.3.12. | Chalcogenide Glass Suppliers |
7.3.13. | Summary of NHTSA Ruling |
7.3.14. | Autoliv, Veoneer and Magna Night Vision Generations |
7.3.15. | LWIR for ADAS |
7.3.16. | LWIR for ADAS: Advantages and Disadvantages |
7.3.17. | Thermal Camera Placement |
7.3.18. | Summary of Microbolometer, Camera, and Tier-One Suppliers |
7.4. | In-Cabin Sensing (or Interior Monitoring Systems) |
7.4.1. | Interior Monitoring System (IMS), Driver-MS and Occupant-MS |
7.4.2. | Evolution of DMS Sensor Suite from SAE Level 1 to Level 4 |
7.4.3. | Current Technologies for Interior Monitoring System (IMS) |
7.4.4. | IMS Sensing Technologies: Passive and Active |
7.4.5. | Overview of In-Cabin Sensors by OEM (1) |
7.4.6. | Overview of In-Cabin Sensors by OEM (2) |
7.4.7. | Sensor adoption for in-cabin monitoring anticipated to remain dominated by established vision based, capacitive and torque sensor technologies |
7.4.8. | Infrared (IR) in DMS - Overview |
7.4.9. | ToF Camera for In-Cabin Sensing - Principles |
7.4.10. | Introduction to Radar Technology |
7.4.11. | Current Status of Capacitive Sensors in DMS |
7.4.12. | Torque Sensor for HOD - Working Principles |
7.4.13. | In-Cabin Sensing Technology Overview |
7.5. | Sensors for Connected Vehicles and Software Defined Vehicles |
7.5.1. | Software-Defined Vehicle Level Guide |
7.5.2. | Connected Vehicles Key Terminology |
7.5.3. | Certain V2V/V2I use cases highlight the interplay between connected vehicles and autonomy - and as such the role of sensors. |
8. | SENSORS FOR THE INTERNET OF THINGS (IOT) |
8.1. | Introduction |
8.1.1. | What is internet-of-things (IoT)? |
8.1.2. | Sensors represent just one element within an IoT platform |
8.1.3. | Emerging IoT markets and applications |
8.1.4. | IoT technology meta-trends and impact on sensors |
8.2. | Industrial IoT (IIoT) |
8.2.1. | Industrial IoT: Introduction |
8.2.2. | Industrial trends and Industry 5.0 |
8.2.3. | Industrial IoT: Key emerging sensor applications |
8.2.4. | IIoT sensors: Industrial robotics and automation |
8.2.5. | IIoT sensors: Machine monitoring and predictive maintenance |
8.2.6. | IIoT sensors: Worker safety |
8.2.7. | IIoT sensors: inventory management and logistics |
8.2.8. | IIoT sensors: Conclusions and outlook |
8.3. | Environmental Monitoring IoT |
8.3.1. | Overview of environmental gas sensor markets within IoT |
8.3.2. | Environmental Monitoring IoT: Outdoor Pollution |
8.3.3. | Environmental Monitoring IoT: Indoor Air Quality |
8.3.4. | Environmental Monitoring IoT: Sensors for PFAS |
8.4. | Consumer IoT: Smart Home (Air Quality Sensors) |
8.4.1. | Smart Home technology OEMs are still betting on it going 'mainstream' |
8.4.2. | Introduction to the Smart Home market for indoor air quality monitoring |
8.4.3. | How can OEMs access the mass market for indoor air quality monitors post-covid? |
8.4.4. | Comparing technology specs of smart-home air quality monitors |
8.4.5. | Smart purifiers are an increasingly popular solution for poor air quality |
8.4.6. | Market leaders include particulate matter sensors in product offerings |
8.4.7. | Air quality and the internet of things |
8.4.8. | Which business models for indoor air quality products are sustainable? |
8.4.9. | Opportunity for air quality monitoring within wellness and fitness monitoring remains |
8.4.10. | Relationship between air quality regulations and technology |
8.4.11. | Smart-home indoor air quality monitoring: market map and outlook |
8.4.12. | Comparing device costs of smart-home technology for IAQ monitoring |
8.4.13. | Challenges for indoor air quality devices in the smart-home |
8.4.14. | Miniaturized gas sensors for indoor monitoring in smart home: conclusions and outlook |
9. | COMPANY PROFILES |
9.1. | Adsentec |
9.2. | Airthings |
9.3. | Alphasense |
9.4. | Bosch Aviation Technology |
9.5. | Bosch Sensortec - Gas Sensors |
9.6. | Brilliant Matters |
9.7. | Carester (Caremag) |
9.8. | Cerca Magnetics |
9.9. | Cubert |
9.10. | Cubic Sensor and Instrument Co., Ltd. |
9.11. | Datwyler (Dry Electrodes) |
9.12. | DD Scientific Ltd. |
9.13. | EarSwitch |
9.14. | Emberion: Cameras With Extended Spectral Band |
9.15. | Epicore Biosystems |
9.16. | Excelitas |
9.17. | Eyeris |
9.18. | FLEXOO |
9.19. | Foresight Automotive |
9.20. | Fraunhofer FEP |
9.21. | Gamaya |
9.22. | HyProMag Ltd |
9.23. | IDUN Technologies |
9.24. | Infi-Tex |
9.25. | ioAirFlow |
9.26. | Jungo Connectivity |
9.27. | Kaiterra |
9.28. | Loomia |
9.29. | Mateligent GmbH |
9.30. | Mobileye: Automotive Radar |
9.31. | Naox Technologies |
9.32. | Noveon Magnetics |
9.33. | OmniVision Technologies |
9.34. | Peratech |
9.35. | PKVitality |
9.36. | Q.ANT |
9.37. | Remedee Labs |
9.38. | Rhaeos Inc |
9.39. | Seeing Machines |
9.40. | Sefar |
9.41. | Sensel |
9.42. | Sensirion |
9.43. | Siemens Healthineers |
9.44. | Silveray |
9.45. | ST Microelectronics |
9.46. | Teledyne FLIR |
9.47. | Useful Sensors |
9.48. | Valencell |
9.49. | Valeo |
9.50. | Veoneer (Qualcomm) |
9.51. | Wearable Devices Ltd. |
9.52. | Wormsensing |
9.53. | Zimmer and Peacock |