What is interesting is that the techniques that are being used in compression, communication and signal processing in general involved orthogonality and Nasir's master and PhD research thesis were in the area of Orthogonal Transform for Digital Signal Processing.
Hadamard Transform can provide orthogonality but unlike DCT and DFT/FFT that are limited to real and complex respectively, Hadamard Transform is very versatile and can be used in real, complex, quaternion and also octonion numbering schemes that probably the latter are more suited for higher dimensions data and signal processing.
Hadamard orthogonal codes has also been used as ECC in reliable space communication in both the Mariner and Voyager missions, for examples [1].
[1] On some applications of Hadamard matrices [PDF]:
https://documents.uow.edu.au/~jennie/WEB/WEB05-10/2005_12.pd...
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Combined with the information from sibling comments, it seems that the Hadamard transform was something used in standards developed in the '00s but not since.
1. It wouldn't have support for DCTs not in JPEG.
2. It wouldn't use the DCT in its lossy-compression of photographic content if another transform was considered significantly better.
Perhaps one could argue that they didn't want to add extra transforms, but they do use a modified Haar transform for e.g. synthetic content and alpha channels.
X265/HEVC https://en.m.wikipedia.org/wiki/High_Efficiency_Video_Coding
Also not true for X266/VVC.
https://fgiesen.wordpress.com/2013/11/04/bink-2-2-integer-dc... has a ton of technical information if you want to dive into it.