Diabetes care has experienced great changes due to technological advancements. Recent notable innovations in diabetes technology include real-time continuous glucose monitors, automated insulin delivery systems, insulin patches, and health management applications based on smartwatches and smartphones. Along with the development of these digital devices, there have been efforts to integrate patient-generated health data, including blood glucose/blood pressure, diet, exercise, and sleep, with hospital electronic health records for direct use in diabetes care. In addition, advancements and cost reductions in omics technologies, including genomics, are expected to enable personalized diagnosis, treatment, and prevention of diabetes through modeling based on vast amounts of related data, from multi-omics to patient-generated health data, using artificial intelligence. This is ultimately expected to advance precision medicine for diabetes in the future.