The type segmentation of the Medical Training Manikin market distinguishes between high‑fidelity, medium‑fidelity, and low‑fidelity devices. High‑fidelity manikins incorporate advanced sensor arrays, realistic anatomy, and programmable physiological responses, thereby commanding the largest revenue share due to their adoption in university hospitals and simulation centers. Medium‑fidelity models balance cost and functional realism, offering modular components for airway, vascular, and trauma scenarios; they serve regional training institutes and generate a steady mid‑range contribution. Low‑fidelity units, typically static or limited to basic CPR feedback, are priced for large‑scale deployment in schools and community programs, expanding market reach while contributing a smaller but growing portion of total sales. By delineating these three types, analysts can attribute distinct cost structures, adoption rates, and growth trajectories to the overall market size, providing a clear framework for the Medical Training Manikin segmentation analysis.