Inherited metabolic disorders (IMD) encompass a diverse range of monogenic disorders disrupting metabolic pathways, leading to significant morbidity and mortality. While some treatable IMD are part of newborn screening programs, the majority remain challenging to diagnose early. Targeted metabolomics, analyzing specific metabolites in biological fluids, has evolved from disease-specific tests to advanced chromatographic techniques such as gas chromatography, high performance liquid chromatography and GC-mass spectrometry (MS). The development of tandem MS in the 1990s marked a pivotal advancement, allowing the detection of various metabolites in a single analysis. However, current metabolic diagnostic methods still involve manual, time-intensive processes using multiple analyzers, limiting their widespread application. Diagnosis often hinges on recognizing nonspecific clinical symptoms, risking missed cases without appropriate metabolic testing needed to achieve the diagnosis. To address these challenges, there is a pressing need for untargeted metabolomics—a holistic approach using high-resolution MS to measure thousands of metabolites in a single analysis. This approach promises to revolutionize diagnostics by enabling comprehensive metabolite detection, optimizing resources, and streamlining diagnostic workflows. Integrating metabolomics with other omics technologies, especially genomics, is essential to achieving definitive IMD diagnoses. This multidisciplinary approach not only enhances IMD diagnosis but also supports personalized medicine.