Vocal biomarkers refer to measurable characteristics of an individual's voice that can provide health and emotional information. Changes in speech patterns, pitch, frequency, voice quality, articulation, and respiratory patterns can indicate medical conditions like Parkinson's or asthma. Vocal biomarkers can also assess emotional states like stress. Researchers are exploring using vocal biomarkers and machine learning to help diagnose neurological disorders and monitor mental health and well-being from large datasets of voice samples. The global vocal biomarkers market is growing, with potential applications across healthcare, mental health monitoring, and wellness.