  Privacy-enhancing technologies (PETs) are becoming increasingly crucial for
addressing customer needs, security, privacy (e.g., enhancing anonymity and
confidentiality), and regulatory requirements. However, applying PETs in
organizations requires a precise understanding of use cases, technologies, and
limitations. This paper investigates several industrial use cases, their
characteristics, and the potential applicability of PETs to these. We conduct
expert interviews to identify and classify uses cases, a gray literature review
of relevant open-source PET tools, and discuss how the use case characteristics
can be addressed using PETs' capabilities. While we focus mainly on automotive
use cases, the results also apply to other use case domains.
