PUBLISHER: Grand View Research | PRODUCT CODE: 2018218
PUBLISHER: Grand View Research | PRODUCT CODE: 2018218
The global animal health market size was estimated at USD 68.7 billion in 2025 and is projected to reach USD 156.0 billion by 2033, growing at a CAGR of 11.0% from 2026 to 2033. Factors driving the market growth include rising animal health expenditure, the increasing inculcation of Artificial Intelligence (AI), evolving regulatory scenario, prevalence of diseases in animals, concerns over zoonoses, initiatives by key companies, uptake of pet insurance, and pet humanization.
However, the most dominant factor is the increasing inculcation of AI across multiple technologies in the animal health sector. One of the key drivers for the market is the inculcation of AI into various sectors within the animal health sector. The integration of artificial intelligence across the animal health sector is driving structural change in clinical practice, diagnostics, and herd management. Veterinary providers are adopting AI-enabled imaging tools that assist in detecting abnormalities during surgical and radiology procedures. According to February 2026 press release, research institutions such as the German Cancer Research Center are developing AI systems trained on animal data to improve imaging precision and surgical outcomes. In companion animal care, companies such as Zoetis are advancing diagnostic platforms that apply algorithm-based analysis to deliver faster and more accurate results. These developments are reducing diagnostic turnaround time, improving case management, and increasing demand for technology-enabled veterinary services.
Infrastructure development is strengthening this transition. According to a February 2026 blog, academic institutions including Ross University School of Veterinary Medicine are incorporating AI-driven predictive analytics into veterinary education and clinical training. Furthermore, according to February 2026 article, national forums such as the conference hosted by Tamil Nadu Veterinary and Animal Sciences University are promoting collaboration between technology developers, veterinarians, and policymakers. Cross-border initiatives, including the India-Germany partnership reported by The Times of India in its February 2026 article are expanding research networks focused on AI-enabled veterinary solutions. In addition, in February 2026, livestock monitoring platforms such as FlockVision, developed by GD Animal Health, are applying behavior-detection algorithms to improve flock management and disease surveillance. These investments are building a data-driven ecosystem that supports scalable adoption.
Future growth opportunities are emerging across diagnostics, remote monitoring, and precision livestock management. AI-based tools are expected to expand into wearable devices, herd-level disease forecasting, and automated treatment planning. As data availability increases and cloud-based systems gain wider acceptance, veterinary practices are likely to integrate predictive models into routine workflows. This shift is positioning AI as a central growth catalyst within the global animal health industry. Such initiatives reflect a growing global focus on AI in animal health, aiming to improve animal welfare and support sustainable agricultural practices through innovative technologies.
Global Animal Health 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 animal health market report based on product, animal, distribution channel, end use, and region.