PUBLISHER: Grand View Research | PRODUCT CODE: 1888966
PUBLISHER: Grand View Research | PRODUCT CODE: 1888966
The global veterinary AI diagnostics market size was estimated at USD 652.23 million in 2024 and is projected to reach USD 2,633.8 million by 2033, growing at a CAGR of 17.2% from 2025 to 2033. The market is propelling due to factors such as rapid digital transformation of veterinary workflows, surge in animal health data & connectivity, utilization of advanced AI algorithms enabling precision diagnostics, and growing demand for early detection & preventive care in animals.
Rising clinic caseloads, staff shortages, expanding diagnostic data, faster model performance, and stronger demand for early detection are adding steady momentum to AI adoption in veterinary diagnostics. Clinics are facing heavier daily volumes and reduced specialist availability, so AI tools that speed up image review, cut repeat tests, and support routine triage are becoming part of core clinical work. Reference laboratories are managing larger sample counts each year, and AI automation is raising throughput, lowering per-test cost, and improving consistency across technicians, which drives wider acceptance in high-volume settings.
Research groups are adding further momentum by showing that practical model performance is possible even with focused datasets. A 2025 University of Edinburgh study trained algorithms on about 500 CT scans and produced stable readings, and results like this build trust among clinicians who want tools that work with real-world data rather than large experimental datasets. Farm systems are also generating pressure for adoption. Wearables, cameras, and this information into alerts that prompt earlier testing and faster intervention, which links herd surveillance continuous monitors are producing round-the-clock data on movement and feeding patterns, and AI converts directly to diagnostics.
Manufacturers are responding to these shifts by embedding AI tools inside scanners, analyzers, and cloud portals so clinicians receive processed results without extra effort. Product teams are mapping full diagnostic pathways and creating guided workflows that help users move from sample collection to interpretation in one integrated flow. Companies that package AI inside existing hardware are gaining quicker uptake among clinics that trust those devices, while cloud platforms are gaining stable subscription revenue from groups that value remote access and automatic updates. Demand is rising fastest when AI reduces reading time, raises repeatability, and sorts routine cases from complex ones, as these gains shape purchasing decisions across clinics and laboratories.
Many stakeholders are currently utilizing narrow datasets that may generalize across breeds, ages, and production systems, and overlook the variation in image quality and disease expression across populations. Others assume stable broadband and modern lab information systems everywhere, which ignores rural clinics and farms with limited connectivity. Some groups assume that AI will replace specialist judgment, but experienced clinicians note that AI acts as a support layer that highlights patterns, flags edge cases, and standardizes routine assessments while leaving complex reasoning to trained professionals.
Regulatory systems are moving slower than technical progress, and uneven rules across regions can limit scale. To capture growth, companies will need multi-site validation, simple offline modes, and partnerships with laboratories that hold deep archives of labeled data. As these steps advance, AI in veterinary diagnostics is moving from early trials into routine use, and the sector is growing where tools shorten workflows, steady interpretation quality, and turn diagnostic output into clear clinical action. The market is on the brink of transformation and organizations that align with these trends are set to shape the future of care.
Global Veterinary AI Diagnostics Market Report Segmentation
This report forecasts revenue growth at global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2021 to 2033. For this study, Grand View Research has segmented the global veterinary AI diagnostics market report based on solution, animal, application, end use, and region: