Plant breeding is a key driver of sustainable, productive, and resilient agriculture. Perennial crops play a major economic and social role, but their genetic improvement faces significant challenges: long life cycles, delayed entry into production, and extended evaluation periods. These characteristics significantly slow down the development of new varieties. Paradoxically, it is also these species that stand to benefit most from recent scientific and technological advances: next- generation sequencing and high-throughput multi-omic data acquisition, high-throughput phenotyping, the development of high-performance computing infrastructure, big data analysis methods and artificial intelligence, etc. Genomic selection is an approach based on the large-scale use of genomic data to predict the genetic performance of plant material that has not been evaluated in the field. Already widely applied in animal breeding, it is gradually transforming plant breeding strategies. This presentation will first address the context of marker-assisted selection, before detailing the principles of genomic selection and the parameters affecting its efficiency. Next, a case study of genomic hybrid breeding in oil palm will be presented. Finally, current trends in genomic selection will be discussed.