The Types dimension of AI‑ECG Analysis System market taxonomy classifies solutions according to deployment architecture and licensing model. Cloud‑Based AI platforms, representing roughly 40 % of deployments, provide scalable compute resources and centralized model updates, which are attractive to large health systems seeking uniform analytics across multiple sites. Edge‑Device AI accounts for 30 % as manufacturers embed inference engines directly into ECG hardware, reducing latency and preserving patient data privacy—critical for point‑of‑care and home‑use scenarios. Hybrid AI solutions, combining on‑device preprocessing with cloud‑hosted deep‑learning models, occupy 20 % of the market, balancing performance with regulatory compliance. The remaining 10 % comprises On‑Premise SaaS offerings, preferred by institutions with strict data‑sovereignty requirements. Each type contributes distinct cost structures, integration complexities, and revenue streams, influencing adoption rates and shaping the overall market dynamics.