Concept:
A Quad Tree is a hierarchical data structure used to efficiently store and process raster data.
It recursively divides an image into four equal quadrants until each block contains uniform data.
Step 1: Understand Quad Tree representation.
The raster image is subdivided into
\[
4,\;16,\;64,\;\ldots
\]
smaller square regions depending on data homogeneity.
Step 2: Identify the associated data model.
Thus,
\[
\boxed{\text{Quad Tree is primarily used for raster data}.}
\]
Therefore, the correct option is
\[
\boxed{(C).}
\]