Global and U.S. Silicon Irradiance Sensors Market Report, Published by QY Research.

Silicon Irradiance Sensors are photodiode-based devices designed to measure solar irradiance by converting light intensity into electrical signals, typically calibrated to the spectral range of sunlight (300-1100 nm). They are widely applied in solar energy monitoring, PV system performance testing, meteorology, and building automation. Compact designs, low power consumption, and stable spectral response make them reliable alternatives to thermopile pyranometers in cost-sensitive applications.

https://www.qyresearch.com/reports/4924252/silicon-irradiance-sensors

The global market for Silicon Irradiance Sensors reached at USD 326 million in 2024, projected to grow at a CAGR of 6.6% through 2030, driven by accelerating solar PV deployments, smart grid expansion, and climate monitoring initiatives.

Leading manufacturers:

Kipp & Zonen (Netherlands)

Apogee Instruments (USA)

Hukseflux Thermal Sensors (Netherlands)

EKO Instruments (Japan)

Campbell Scientific (USA)

Delta-T Devices (UK)

LI-COR Biosciences (USA)

OTT HydroMet (Germany)

Skye Instruments (UK)

GHI Sensors (USA)

Sencrop (France)

Spectrafy (Canada)

Solmetric (USA)

Rika Sensors (Hunan, China)

Apresys Instruments (Shanghai, China)

Unismart Electronics (Shenzhen, China)

Zhongke Photoelectric (Beijing, China)

Upstream supply involves high-purity silicon wafers, encapsulation materials, and calibration services, while enabling technologies include precision photodiode fabrication, cosine correction optics, and temperature-compensated signal processing.

Downstream demand comes from utility-scale PV plants, rooftop solar monitoring, environmental research stations, and building energy management systems, where customers seek long-term stability, low maintenance, and compatibility with SCADA/IoT platforms.

Future developments will focus on integrated AI-driven calibration, improved spectral selectivity for bifacial and perovskite PV modules, and seamless integration into digital twins for predictive energy yield analytics.

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Email: global@qyresearch.com

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This release was published on openPR.