It gets used a fair amount in the weather data space. Forecasting and climate reanalysis grids are typically large (gigabytes) N-dimensional arrays of float32 values and Blosc provides enough tunable knobs that it's fairly easy to find a combination that performs acceptably without writing a bunch of custom handling code to keep track of which underlying compression schemes and settings were used. Additionally, it supports byte- and bit-shuffling filters which can really help boost the compressibility of certain data sets.