Neuromorphic computing has enormous potential for very fast and extremely energy-efficient data processing. It can, therefore, play a key role in data analysis in many fields, like for example in healthcare, sustainable food supply for the expanding world population, failure analysis of the power grid as well as for growth in key parts of the Dutch economy, such as for diagnosis of maintenance tasks in logistics. At the same time, neuromorphic computing allows applications such as evaluations of high-dimensional problems or cryptography that are simply impossible or too time and power consuming with standard approaches. In addition, the development of expertise and neuromorphic data processing capabilities would limit the need to transfer privacy-sensitive data and improves digital sovereignty.