Rarely. PDDL is just one way of specifying search problems. First, there are other modeling languages, for example from the model-checking community, such as SMV, NuSMV, and a number of others, which are equally well (and sometimes better) suited for specifying planning and other equivalent state-space search and reachability problems.
Second, when a company needs to solve a specific planning problem, the most scalable way of doing that is to not use domain-independent planners and modeling languages such as PDDL, but to develop problem-specific heuristics and pruning methods, and apply them without having to go through a modeling language. In many cases this is not much more work than writing a specification in PDDL, especially considering that PDDL is a relatively low level specification language, with little support to modeling complex domains.
PDDL has, for example, only very limited ways of using numbers and arithmetic.
Real-world planning and scheduling is very much a disjoint thing from the AI planning activities in the academia. There is hardly any connection between them. PDDL is very rarely used in the industry.