Data privacy is a crucial yet complex aspect of information systems. Privacy patterns serve as practical tools for converting legal and regulatory requirements into technological solutions that uphold privacy standards. Despite the existence of research in this area, there remains a significant fragmentation and a need for up-to-date studies. Our research bridges this gap through a thorough analysis of 73 academic papers, identifying and classifying 580 privacy patterns. We categorize these patterns by their type, design strategy, and, most importantly, design tactic —a perspective not fully explored in prior. The objective of this research is to provide a comprehensive view of progression in privacy pattern research and to pinpoint areas where further exploration is necessary. We approach contemporary challenges and outline potential solutions that set the scope of our future research directions.