The sensor based on SPAD, namely the Single-Photon Avalanche Diode (SPAD) sensor, is an extremely sensitive light detector that can detect the presence of a single photon. It has shown unique advantages and broad application prospects in many fields such as low-light imaging, lidar, and biomedical detection.
From the working principle, SPAD is based on the avalanche multiplication effect. SPAD is essentially a reverse-biased photodiode. When it works in Geiger mode, that is, when the applied reverse bias voltage exceeds its avalanche breakdown voltage, a single photon incident on the photosensitive area of the SPAD can stimulate the generation of electron-hole pairs. These carriers accelerate under the action of a strong electric field, collide with lattice atoms to generate more electron-hole pairs, form an avalanche current, and thus generate a detectable electrical pulse signal. This highly sensitive response to a single photon enables the SPAD sensor to work effectively in extremely weak light environments, while traditional photodetectors often have difficulty capturing signals in such conditions.
The structure of the SPAD sensor mainly includes the SPAD array, quenching circuit and signal processing circuit. The SPAD array is the core component, which is composed of multiple SPAD units. Different application scenarios will use arrays of different sizes and layouts. For example, in high-resolution imaging applications, a high-density SPAD array is required to obtain more image details; while in some occasions with high requirements for detection range, a larger sparse array will be used. The quenching circuit is used to quickly reduce the voltage across the SPAD after it generates an avalanche current, so that it can be restored to the initial non-avalanche state so that it can continue to detect the next photon. Common quenching circuits are passive quenching and active quenching. The signal processing circuit is responsible for processing the electrical pulse signal generated by the SPAD, including counting, time measurement, etc., and finally outputs a signal that can be recognized and used by the system.
In the application field, sensors based on SPAD have a wide range of applications. In the field of low-light imaging, such as astronomical observations, it is used to capture the faint light emitted by distant galaxies, helping astronomers study the mysteries of the universe; in bioluminescence imaging, it can detect weak fluorescence signals in biological samples, achieve high-sensitivity detection and imaging of biological molecules, and assist biomedical research. In the LiDAR system, SPAD sensors are used as detectors to accurately calculate the distance of target objects by measuring the time difference between laser pulse emission and reflected light reception. They are widely used in autonomous driving, robot navigation, terrain mapping and other fields. In quantum communication, SPAD sensors can be used to detect single-photon signals to ensure the security and reliability of quantum key distribution. In addition, in the fields of food safety testing and environmental monitoring, the high sensitivity of SPAD sensors can also be used to detect and analyze trace substances.
With the continuous advancement of science and technology, sensors based on SPAD are moving towards higher performance, miniaturization and multifunctionality. In terms of performance improvement, researchers are committed to improving the photon detection efficiency of SPAD, reducing dark count rate and dead time, so as to enhance the detection ability of sensors in complex environments. In terms of miniaturization, the size and power consumption of SPAD sensors can be reduced by using advanced semiconductor manufacturing processes, making them easier to integrate into various small devices, such as smartphones, wearable devices, etc. In terms of multifunctionality, SPAD sensors can be combined with other technologies, such as micro-electromechanical systems (MEMS) technology, artificial intelligence algorithms, etc., to develop sensor systems with more functions, expand their application areas, and provide more possibilities for future scientific and technological innovation.
Report Scope
This report aims to deliver a thorough analysis of the global market for SPAD based Sensor, offering both quantitative and qualitative insights to assist readers in formulating business growth strategies, evaluating the competitive landscape, understanding their current market position, and making well-informed decisions regarding SPAD based Sensor.
The report is enriched with qualitative evaluations, including market drivers, challenges, Porter’s Five Forces, regulatory frameworks, consumer preferences, and ESG (Environmental, Social, and Governance) factors.
The report provides detailed classification of SPAD based Sensor, such as type, etc.; detailed examples of SPAD based Sensor applications, such as application one, etc., and provides comprehensive historical (2020-2025) and forecast (2026-2031) market size data.
The report provides detailed classification of SPAD based Sensor, such as 1D dToF Sensor, 3D dToF Sensor, etc.; detailed examples of SPAD based Sensor applications, such as Consumer Electronics, Industrial Automation, Others, etc., and provides comprehensive historical (2020-2025) and forecast (2026-2031) market size data.
The report covers key global regions—North America, Europe, Asia-Pacific, Latin America, and the Middle East & Africa—providing granular, country-specific insights for major markets such as the United States, China, Germany, and Brazil.
The report deeply explores the competitive landscape of SPAD based Sensor products, details the sales, revenue, and regional layout of some of the world's leading manufacturers, and provides in-depth company profiles and contact details.
The report contains a comprehensive industry chain analysis covering raw materials, downstream customers and sales channels.
Core Chapters
Chapter One: Introduces the study scope of this report, market status, market drivers, challenges, porters five forces analysis, regulatory policy, consumer preference, market attractiveness and ESG analysis.
Chapter Two: market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter Three: SPAD based Sensor market sales and revenue in regional level and country level. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and production of each country in the world.
Chapter Four: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter Five: Detailed analysis of SPAD based Sensor manufacturers competitive landscape, price, sales, revenue, market share, footprint, merger, and acquisition information, etc.
Chapter Six: Provides profiles of leading manufacturers, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction.
Chapter Seven: Analysis of industrial chain, key raw materials, customers and sales channel.
Chapter Eight: Key Takeaways and Final Conclusions
Chapter Nine: Methodology and Sources.
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