Why fragmented pet tech data is failing modern pet care

Fragmented pet tech data is colliding with a veterinary system that still struggles to connect records, devices, and workflows. A recent GlobalPETS report spotlighted MOVA’s push to build an AI-driven “Digital Twin” ecosystem for pets, arguing that connected devices can turn litter box, activity, and behavior data into a more complete health picture. At the same time, veterinary practice technology vendors are making a similar case from the clinic side: AllyDVM says disconnected software creates more work for teams, while integrated platforms can reduce administrative burden and help practices use existing systems more effectively. Broader surveillance efforts in academia and organized veterinary medicine are pointing the same direction, with AVMA’s Veterinary Vertex and the University of Minnesota’s CAVSNET emphasizing that routine clinical data becomes far more valuable when it can be combined across platforms and analyzed at scale. (globalpetindustry.com)

Why it matters: For veterinary professionals, the issue isn’t just gadget overload. It’s whether outside data can be trusted, interpreted, and folded into care without adding friction to already strained teams. Research on companion animal surveillance suggests few systems truly integrate veterinary, public health, and environmental data, even though record-based surveillance has shown promise at scale. That leaves clinics facing a familiar problem: more data points, but not necessarily more usable insight. Add privacy concerns around pet wearables, which may collect substantial data about pet parents as well as pets, and the case for better standards, governance, and interoperability gets stronger. (sciencedirect.com)

What to watch: Expect the next phase to center on whether pet tech companies can connect their data to veterinary records in clinically useful, privacy-conscious ways, rather than simply generate more consumer-facing metrics. (frontiersin.org)