This study used international student achievement data from the OECD's Programme for International Student Assessment (PISA) 2018 to identify the profiles of school digital inclusion (SDI). In digitally inclusive schools, students who live in the digital era benefit from digital technology and a digitally enhanced educational environment without alienation and exclusion. We compiled profiles of SDI by conducting a latent profile analysis on data from 27 countries. Multinomial logistic regression analyses were conducted to examine whether a school's socioeconomic status and type could predict its likelihood of fitting a particular profile across SDI subgroups. Schools were categorized in terms of low-, medium-, and high-level digital inclusion. Socioeconomic status and type of school were significant predictors of profile membership. Based on the results, the practical implications for promoting SDI include digital infrastructure as a prerequisite, teachers' confidence in using digital technology and instructional competence, and the digital skills of teachers and students.