•The present work provides a novel approach for the authentication of the Avola almond, labelled by the PAT mark.•Avola almonds have been analyzed by NIR spectroscopy coupled with PLS-DA or SIMCA.•· PLS-DA led to 100% of correct classification (in external validation) for samples belonging to the category of interest.•Variable Importance in Projection has highlighted which NIR variables contribute the most to the classification. Avola almond is part of the “Traditional Italian Agri-food Product” (PAT) list, as established by The Italian Ministry of agricultural food, forestry and tourism policies; this endorsement testifies its status as a high added-value product, and, consequently, it highlights the need of analytical methodologies suitable for its authentication. For these reasons, in the present study, the possibility of developing a non-destructive approach, aimed at distinguishing almonds cultivated in the Avola area from others presenting a different geographical origin, has been investigated. To fulfil this purpose, 227 almonds, cultivated in the Avola area or in other Italian territories, have been analysed by near infrared (NIR) spectroscopy coupled with Partial Least Squares-Discriminant Analysis (PLS-DA) and Soft Independent Modelling of Class Analogies (SIMCA). The two tested approaches achieved satisfactory results (in external validation) indicating both of them would represent a suitable tool for the purpose of the study.