The type classification separates machines by integration mode and automation level, comprising inline, offline, automatic, semi‑automatic, and handheld units. Inline systems, responsible for roughly 40 % of market value, are embedded directly within the production line, enabling defect detection at line speed and eliminating downstream bottlenecks. Offline equipment, contributing about 30 %, is positioned after printing and before finishing, offering higher resolution imaging at the expense of additional handling time. Automatic machines, which combine sensor‑driven defect classification with self‑learning algorithms, capture roughly 15 % of revenue and are favored in high‑mix environments where change‑over speed is critical. Semi‑automatic solutions account for 10 % and require operator‑initiated scan cycles, providing a cost‑effective entry point for small‑scale printers. Handheld devices, the smallest segment at 5 %, serve niche maintenance and quality‑audit tasks where portability outweighs throughput. Each type’s share reflects the capital intensity, operational flexibility, and ROI expectations of its target user base, thereby delineating the market taxonomy for Printing Inspection Machine type segmentation.