Technologies, Trends, Players, Forecasts: IDTechEx

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. 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