The company then followed up with another software offering known as the AI Model Efficiency Toolkit (AIMET) in 2020, which supports network compression and data-free quantization of AI models based on TensorFlow and PyTorch. Still in its nascency, the TinyML market has shown a lot of potential, but will need some time to mature. According to a recent report on Very Edge AI Chipset for TinyML Applications ( AN-5037 ), a total of 2.5 billion devices are expected to be shipped with a Tiny Machine Learning (TinyML) chipset in 2030. Qualcomm is by far not the only company involving in TinyML-based machine vision. CMOS vendors such as Sony and HiMax are also integrating TinyML chipsets into their CMOS sensor. In comparison with CMOS vendors, Qualcomm is able to better enable developers through their end-to-end portfolio.