Tree breeding aims to produce quality products like seeds and clones for different end uses. The major challenge in tree breeding is the lengthy gestation period of tree species for completing a full cycle of breeding and selection. Breeding forest tree species is much more complicated, longer, and costlier than agricultural crops. However, recent breakthroughs in the fields of molecular biology and genomics have transformed the traditional plant breeding methods, which relied heavily on visual assessment of phenotypes. The advent of an assortment of molecular markers has enabled genotype selection. Genomic selection (GS), a modern improvement strategy, involves analyzing the influence of quantitative trait loci (QTLs), making use of numerous molecular markers spread across the genome. This allows for the evaluation of an individual genomic estimated breeding value (GEBV). GS is particularly effective for predicting complex quantitative traits such as productivity and wood quality. Overall, GS holds great promise for substantially shortening the breeding cycle and enhancing genetic gains. In this chapter, we review the genomic selection in detail and discuss different methods and its perspectives in forest trees.