In the increasingly interconnected business world, economic value is less and less created by one companyalone but rather through the combination and enrichment of data by various actors in so-called dataecosystems. The research field around data ecosystems is, however, still in its infancy. In particular, the lackof knowledge about the actual benefits of inter-organisational data sharing is seen as one of the mainobstacles why companies are currently not motivated to engage in data ecosystems. This is especially evidentin traditional sectors, such as production or logistics, where data is still shared comparatively rarely.However, there is also consensus in these sectors that cross-company data-driven services, such ascollaborative condition monitoring, can generate major value for all actors involved. One reason for thisdiscrepancy is that it is often not clear which incentives exist for data providers and how they can generateadded value from offering their data to other actors in an ecosystem. Fair and appropriate incentive andrevenue sharing mechanisms are needed to ensure reliable cooperation and sustainable ecosystemdevelopment. To address this research gap and contribute to a deeper understanding, we conduct a literaturereview and identify requirements for incentive mechanisms in industrial data ecosystems. The results show,among other things, that technical requirements, such as enabling data usage control, as well as economicaspects, for instance, the fair monetary valuation of data, play an important role in incentive mechanisms inindustrial data ecosystems. Understanding these requirements can help practitioners to better comprehendthe incentive mechanisms of the ecosystems in which their organisations participate and can ultimately helpto create new data-driven products and services.