The investment costs associated with the development and introduction of new technologies for predictive maintenance (PM) of the rail infrastructure are high. Extensive equipment, such as that required for infrastructure components, entails considerable economic risks for the railway infrastructure companies. The willingness to invest - both in the development of new technologies for PM and in their introduction - is in principle present in the sector, but is often hampered by insufficient proof of profitability and unclear amortization of the costs. This in turn makes it more difficult to develop more powerful and reliable technologies, since many of these solutions only get better through continuous application and learning in the field. In the project, profitability and amortization analyzes of PM solutions are to be developed. In doing so, maintenance strategies using PM solutions are considered over the entire life cycle. In concrete use cases, all costs and benefits are recorded and evaluated. From this, a generic evaluation approach is to be derived, which can be transferred to other cases and can thus serve as a basis for further profitability analyses.