The digital soil mapping (DSM) concept has seen rapid progress since its introduction two decades ago. It can be seen as a new study in the field of soil science, now recognized as one of its branches known as pedometrics. Meanwhile, in the fields of technology, informatics, and geography, it is acknowledged as a branch of geostatistics and geomatics. Therefore, DSM emerges as a new study resulting from the intersection of applied disciplines such as soil and geography with pure disciplines such as statistics, computer science, and technology and information. This article explores the dynamic evolution of DSM that originating from McBratney et al.’s influential 2003 work and the 2004 Global Workshop on Digital Soil Mapping. The term of DSM is the creation of spatial soil information systems through field and laboratory methods, employing numerical models to predict soil variation from observations and environmental variables. The term is often interchangeable with predictive soil mapping, emphasizing the use of pedometric techniques like geostatistics. The ‘scorpan’ factors, an extension of Jenny’s soil-forming factors, play an importance role. DSM comprises three key components: the utilization of field/laboratory data, spatial/nonspatial inference systems, and the production of spatial soil information systems. The historical shift from manual mapping to DSM is acknowledged, addressing its subjectivity and the lack of accuracy assessment methods.