Tomato breeding has witnessed a transformative shift with the integration of ‘omics’ data into marker-assisted selection (MAS). This chapter delves into the revolutionary potential of this synergy, exploring how ‘omics’ technologies like genomics, transcriptomics, proteomics, and metabolomics are empowering MAS to accelerate the development of superior tomato varieties. We discuss the principles of integrating ‘omics’ data with MAS, highlighting the crucial role of genetic markers in identifying and utilizing desirable traits. The chapter outlines the integrated steps in marker discovery and ‘omics’ integration, including phenotyping, genotyping, quantitative trait loci (QTL) mapping, and validation. We delve into the comprehensive marker-trait relationships revealed through ‘omics’ data, providing a deeper understanding of the genetic and biochemical mechanisms underlying complex traits. The chapter explores the specific applications of ‘omics’ technologies in tomato breeding, showcasing how genomics, transcriptomics, proteomics, and metabolomics contribute to enhancing disease resistance, improving fruit quality, and promoting tolerance to abiotic stresses. We also discuss the role of advanced technologies like CRISPR/Cas9 and single-cell RNA sequencing in further refining MAS. Finally, we examine the emerging field of ‘omics’-assisted breeding and big data analytics, highlighting the role of machine learning, cloud computing, and enviromics in shaping the future of tomato breeding. The chapter concludes by addressing the challenges and prospects of integrating ‘omics’ data with MAS, emphasizing the transformative potential of this approach in ensuring global food security and agricultural sustainability.