Significance and Challenges of Data-driven Product Generation and Retrofit Planning Massmann, Melina Meyer, Maurice Dumitrescu, Roman von Enzberg, Sebastian Frank, Maximilian Koldewey, Christian Kühn, Arno Reinhold, Jannik One of the notable drivers of the fourth industrial revolution is the collection of vast amounts of data along the entire lifecycle of a product. The analysis of product lifecycle data in conjunction with product hypotheses leads to promising potentials in strategic product planning. In this thesis paper, we postulate the need for data-driven product generation and retrofit planning as an interdisciplinary field of research. We define and analyze the key concepts and derive requirements in a structured way. Based on an exhaustive research of existing approaches, we structure open research questions and propose a roadmap in order to shape future research efforts. Scientific Technical Committee Design of the International Academy for Production Engineering (CIRP) 2019 info:eu-repo/semantics/conferenceObject doc-type:conferenceObject text http://purl.org/coar/resource_type/c_5794 https://ris.uni-paderborn.de/record/27103 Massmann M, Meyer M, Dumitrescu R, et al. Significance and Challenges of Data-driven Product Generation and Retrofit Planning. In: <i>Proceedings of the CIRP DESIGN</i>. Scientific Technical Committee Design of the International Academy for Production Engineering (CIRP); 2019. eng info:eu-repo/semantics/closedAccess