A forward-looking perspective on what’s next for AI in animal health — evolving technologies, business models and future opportunities.

The Artificial Intelligence in Animal Health Market developments emphasise that the next wave of innovation will focus on fully integrated platforms combining sensor data, genomics, behaviour analytics and veterinary clinical workflows. Real-time AI monitoring, remote diagnostics, predictive treatment and tele-veterinary models are becoming mainstream.

Business model shifts will include subscription services for farm analytics, pet-wellness platforms offering AI insights, and value-based models for animal welfare. Regulatory ecosystem and data governance will become important as AI tools accumulate large volumes of animal-health data. Additionally, emerging markets will become hotbeds of innovation as production-animal sectors adopt AI for productivity and sustainability.

For industry stakeholders, this means aligning technology roadmaps with animal health workflows, building data ecosystems, securing regulatory alignment and targeting high-value segments such as companion diagnostics or precision livestock farming. The future of AI in animal health is not just technological—it’s operational, ethical and global.

FAQs
Q1: What technologies will dominate next?
A: Real-time monitoring with wearables, genomics-driven insights, tele-veterinary platforms and behavioural analytics.
Q2: What new business models are emerging?
A: Subscription analytics services, outcome-based animal health care and integrated animal-data platforms for farms and pets.

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