PUBLISHER: Grand View Research | PRODUCT CODE: 2040593
PUBLISHER: Grand View Research | PRODUCT CODE: 2040593
The global artificial intelligence in animal health market size was estimated at USD 1.8 billion in 2025 and is projected to reach USD 7.0 billion by 2033, growing at a CAGR of 18.9% from 2026 to 2033. The market growth is propelled by rapidly rising adoption & integration of AI across multiple sectors of the veterinary industry, increased efforts to raise awareness & education among veterinary professionals, growing investments and collaborations in veterinary AI solutions, and the integration of AI into livestock management systems.
In recent years, artificial intelligence (AI) has significantly transformed the veterinary landscape, enhancing multiple facets, including drug and product development, diagnostics, animal tracking, health monitoring, predictive analytics, and workflow optimization. AI-driven solutions are improving precision, speed, and client engagement across veterinary operations. Intelligent systems enhance clinical efficiency by accelerating radiology and digital pathology interpretations, enabling real-time health monitoring and data-driven predictive insights. Furthermore, automated record management simplifies administrative processes, while AI-powered assistants and chatbots elevate client communication and enable targeted content creation, reshaping how veterinary services are delivered and managed.
The growing integration of AI into veterinary pharmacology is optimizing the drug development process by accelerating drug discovery, predicting potential drug candidates, and identifying therapeutic targets, ultimately reducing development time and associated costs. The technology further supports medication adherence, personalized treatment regimens, pharmacovigilance, detection of adverse drug reactions, drug repurposing, and predictive modeling of drug efficacy and toxicity. For instance, in January 2026, Mixlab announced the launch of Maisy, an AI health partner integrated into its eMix platform to facilitate medication compliance, surface relevant prescribing options, and reduce administrative friction across the pharmacy experience. By 2025, Mixlab had partnered with over 30,000 prescribers and supported the care of over 140,000 animals, representing close to 75% growth, signaling sustained demand for AI-driven pharmacy solutions in the veterinary sector.
Moreover, rising integration of AI into livestock management systems is also boosting market growth, with machine learning and predictive models enabling real-time health monitoring, early disease detection, and precision feeding. AI-powered smartphone-based solutions for livestock weight estimation and growth tracking have further demonstrated the expanding role of intelligent systems in production animal management. For instance, in February 2026, Ever.Ag launched Feedlot IQ, a fully integrated AI-powered feedlot management system developed in collaboration with Production Animal Consultation (PAC), consolidating health, feed, performance, weather, and financial data into a unified operational view built on over 15 years of real-world feedlot data. Additionally, Gau Swastha, India's first image-based cattle health AI platform, combines computer vision, vision-language models, and large language models to deliver health assessments in under 30 seconds from a single photograph. Validated across 7,000 cattle and active in 26 Karnataka government polyclinics, the platform has benefited over 50,000 farmers across 11 regional languages, addressing structural affordability constraints of hardware-dependent livestock AI systems.
Global Artificial Intelligence In Animal Health Market Report Segmentation
This report forecasts revenue growth at the 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 artificial intelligence in animal health market report based on solution, animal, application, end use, and region: