Tuesday, June 09, 2020

IDTechEx Predicts Rise of Organic Image Sensor Market

PRNewswire: IDTechEx report "Printed and Flexible Sensors 2020-2030: Technologies, Players, Forecasts" predicts a bright future for organic image sensors:

"Hybrid Image Sensors

Hybrid image sensors are an especially promising category. They comprise of a thin film (a few 100 nm) of either an organic semiconductor or quantum dots printed over a silicon readout circuit. They offer three distinct value propositions over the incumbent silicon CMOS detectors: a tuneable bandgap to enable NIR and SWIR imaging at much longer wavelengths, voltage-dependent sensitivity that enables spatially-variable neutral density filter, and more rapid charge collection that facilitates a global rather than rolling shutter.

Critically, hybrid image sensors can be manufactured using repurposed CMOS lines, substantially reducing capital requirements, and facilitating more rapid adoption. The OPD-on-CMOS technology is set to be launched imminently in broadcast cameras, while the QD-on-CMOS technology is already commercially available and will transition to higher-power out-door applications as the thermal and light flux stability of the material system evolves over time. Therefore, the technology can migrate from indoor low-light inspection to outdoor applications such as SWIR imaging for autonomous vehicles.

This disruptive hybrid approach meets genuine market needs, demonstrating that integrating printable, functional materials with standard technology and manufacturing methods can enable substantial performance improvements while lowering adoption barriers.

Large Area Image Sensors

Large area image sensors based on printed organic photodiodes (OPDs) are an innovative technology, representing a complete change from the conventional CMOS-based image detection and going beyond what other large-area image sensors technologies can offer. The technology has two related value propositions: it is flexible and lightweight, unlike large area a-Si image detectors, and in principle it can be printed rapidly at low cost using continuous manufacturing methods.

However, today there are very few manufacturers, and these are mainly targeting biometric sensing as a relatively high value application, thus enabling them to avoid competing with CMOS. In one proposed application, large area under-the-screen image sensors enable 4 fingerprints to be imaged simultaneously, in contrast to the incumbent technology that either images a single finger or requires a complex optical system to image a large area.

While technically impressive, large area image sensing appears to be largely driven by pushing the technology rather than market need. It is questionable whether this capability represents a sufficient advance over incumbent methods to overcome the entry barrier to adoption, especially as fingerprint recognition must compete with incumbent methods.


  1. "more rapid charge collection"

    I doubt that.

    Both organic materials and quantum dot/disordered systems have carrier mobilities that are orders of magnitude lower than that in crystalline semiconductors, including silicon.

  2. amazed at people who do these graphs. I give 1 million dollar to who can distinguish the revenue of temperature sensors from this graph

    1. Even if you could recognize the particular shade of blue, there are no labels on the y-axis...

    2. This is a usual strategy of throwing teasers out and urging people to buy. They cannot give all the data for free. First time looking at paid marketing reports?

    3. We have payed several of these reports from others and problem still persists with graphs. They do show numbers in tables but what is the purpose of the graphs?

  3. "Prediction is very difficult, especially about the future."
    Niels Bohr

    Did anyone check such predictions 5 years after they were published? How far off are this guys usually?


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