Segmentation by types classifies the functional architectures that underpin the Medical Imaging Informatics market. Picture Archiving and Communication Systems (PACS) remain the core infrastructure, capturing the majority of spend due to mandatory storage, retrieval, and distribution of imaging data across enterprises. Radiology Information Systems (RIS) complement PACS by managing patient scheduling, exam ordering, and reporting, together forming an integrated workflow backbone. Vendor‑Neutral Archives (VNA) have emerged as a distinct type, enabling cross‑vendor data consolidation and long‑term compliance, thereby attracting a growing share of capital allocation. Clinical Decision Support (CDS) tools, powered by rule‑based algorithms, add value by embedding evidence‑based recommendations directly into imaging workflows. AI‑enabled analytics represent a fast‑growing type, offering automated lesion detection, quantification, and predictive modeling, which expands the market beyond traditional storage toward value‑added services. Each type contributes proportionally to overall market size, with PACS and RIS together representing the bulk, while VNA, CDS, and AI analytics capture incremental growth driven by interoperability and advanced analytics demands.