Photoelectric Sensors Market - Global Industry Analysis, Size, Share, Growth, Trends and Forecast 2016 - 2024

LONDON, Nov. 28, 2016 /PRNewswire/ -- Photoelectric sensors are used to detect the shape, color, distance, absence or presence of a target. Photoelectric sensors are a type of position sensor that uses light emitting diodes as the light source. The sensor comprises a receiver and a light transmitter. The sensor emits light through the transmitter to the target which is then reflected and the light beam is received by the photoelectric receiver, activating the sensor output. The market is primarily driven by increasing application of photoelectric sensors in food and beverage, construction and automotive industries.

Industrial automation is also principally driving the photoelectric sensors market globally. Additionally, the photoelectric sensors in parking facilities are used for the detection of the car positioning and level adjusting at multi-level car parking. High consistency and easy installation of the retro reflective photoelectric sensors is also driving the global photoelectric sensors market. These sensors are used for object detection even with misaligned, heavy soiling, small reflectors and long range.

Growth of photoelectric sensors market is hindered due to the high cost of fiber optic photoelectric sensor. The fiber optic photoelectric sensors are best suited for extreme conditions like extreme heat, hazardous, corrosive and explosive environment. Moreover, it is flexible and can be precisely positioned. However, the demand of fiber optic photoelectric sensor is comparatively low due to high cost factor.



Implementation of smart photoelectric sensors in diverse application is identified as a major opportunity. These sensors have the in-built intelligence that improves the reliability and optimize the adjustments. This in built intelligence is likely to offer easier and exact adjustment that optimizes photoelectric sensor's reliability. Moreover, these smart sensors deliver superior self diagnostics and have the capability to interface with sensor networks. The conventional photoelectric sensor faced problem in detection of transparent objects. For instance, a web sensing application produces a low contrast if the web material allows much of the sensing light to pass through. In this situation, the operator has to align and adjust the sensor to obtain high contrast. But this isnot the situation with the smart photoelectric sensors as the sensors have in built microprocessor chips to monitor received light signals and display the values using liquid-crystal-display (LCD) digital readouts.

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