The second axis of market taxonomy classifies Robotic Toy Pets by type, reflecting functional architecture and user interaction depth. Interactive models, which constitute roughly 40 % of unit shipments, embed sensors, motorized limbs, and basic response algorithms that enable real‑time reactions to touch, sound, or motion; they generate the highest average selling price due to hardware complexity. Programmable variants, accounting for about 30 % of revenue, allow end‑users to script behaviors via companion apps, supporting educational curricula and hobbyist customization; their modular software licenses add recurring income streams. AI‑enabled pets, representing the remaining 30 %, leverage cloud‑based machine‑learning engines to exhibit adaptive personalities, speech recognition, and emotion modeling, positioning them at the premium end of the market and driving higher margin expansion. Within each type, sub‑categories such as canine, feline, and exotic (e.g., reptile or avian) further diversify the product mix, influencing distribution channels and after‑sales service requirements. Collectively, these type segments delineate the technical differentiation that underpins the overall market size.