Based on the increasing digitalization, data collection and analysis for process optimization get more important. In the field of additive manufacturing, a structured data collection and handling do not exist. The development of a data management concept to collect and analyze data over the entire lifecycle generates possibilities to optimize the process. The additive manufacturing lifecycle features the phases material production, product development, production process with pre-, in- and post-processing, use phase of the product and recycling or disposal. The different phases of the lifecycle can be monitored with the help of the data management concept. Furthermore, the influences between lifecycle phases can be analyzed and the findings can be returned to the appropriate lifecycle phase. Based on this possibility, a process optimization and a component optimization are possible.