Erm, that's because PCA is NOT really meant to be used for visualisation. Or, even for direct analysis of data, or in other words as the sole analysis output. It is usually used during the feature engineering stage of a much longer analysis, to eliminate the irrelevant or trivially important features. This may even allow you to skip a lot of unnecessary data cleaning (a benefit not to be under-estimated) and certainly can cut down on the the amount of data that you have try to generate a model from.
So, essentially, if it is applied in the usual way you almost always "move beyond" PCA.
This DBA says - "It depends".