PUBLISHER: Grand View Research | PRODUCT CODE: 1888713
PUBLISHER: Grand View Research | PRODUCT CODE: 1888713
The global artificial intelligence in animal health market size was estimated at USD 1.57 billion in 2024 and is projected to reach USD 6.98 billion by 2033, growing at a CAGR of 18.49% from 2025 to 2033. The market growth is propelled by the rapidly rising adoption & integration of AI into multiple sectors of the veterinary industry, growing investments and collaborations in veterinary AI solutions, and the integration of AI in livestock management systems.
In recent years, artificial intelligence (AI) has significantly transformed the veterinary landscape, enhancing multiple facets such as drug and product development, diagnostics, animal tracking, health monitoring, predictive analytics, and workflow optimization. AI-driven solutions are transforming veterinary operations by improving precision, speed, and client engagement. Intelligent systems enhance clinical efficiency and decision-making, from accelerating radiology and digital pathology interpretations to enabling real-time health monitoring and data-driven predictive insights. In addition, automated record management simplifies administrative processes, along with intelligent systems powered assistants that elevate client communication. Chatbots and virtual assistants enhance client communication, while optimized marketing strategies enable the creation of personalized and targeted content. These advancements reshape how veterinary services are delivered and managed, marking a new era in veterinary medicine.
The growing integration of Artificial Intelligence (AI) into the veterinary sector is poised to transform it, particularly within veterinary pharmacology. Intelligent systems are optimizing the drug development process by accelerating drug discovery, predicting potential drug candidates, and identifying therapeutic target sites. This technology is essential in streamlining drug discovery through potential drug candidate prediction and identifying therapeutic target sites. This ultimately enables drug manufacturers to reduce development time and associated costs.
It is also helpful in optimizing treatment regimens through personalized medicine, assisting the clinician in analyzing patient data to predict drug responses and minimize side effects. The technology can also revolutionize pharmacovigilance by helping detect adverse drug reactions and monitoring drug utilization. Furthermore, it facilitates drug repurposing by identifying novel applications for existing drugs and advances predictive modeling for drug efficacy and toxicity. In conclusion, this integration promises improved animal health outcomes and well-being.
The increasing integration of AI technologies into livestock management systems to enhance animal health is driving market growth. Machine learning algorithms and predictive models enable real-time monitoring of livestock health, early disease detection, and precision feeding. For instance, in September 2025, Marubeni, in collaboration with Hutzper Inc., launched the BeecoProgram 3D Scanner, an intelligent systems-powered iOS app that estimates cattle weight with a smartphone. The app offers high-precision results and integrates with industry databases for enhanced growth tracking. Thus, farmers and producers utilize AI-driven solutions to improve herd management, minimize economic losses, and enhance biosecurity.
Moreover, significant investments, partnerships, and product launches are accelerating the adoption of AI in the animal health industry. Veterinary technology startups and key players are collaborating to develop intelligent diagnostic platforms, predictive analytics systems, and AI-based imaging tools. For instance, in October 2025, the Independent Animal Hospital Association (IAHA) partnered with ScribbleVet to provide over 650 independent veterinary hospitals with access to AI-driven technology, improving medical record efficiency and enhancing patient care. Furthermore, in June 2025, Absci and Invetx partnered to bring generative AI drug creation to animal health, focusing on developing Half-Life Extension (HLE) platforms to advance veterinary care. Governments and research institutions are also supporting the innovation of intelligent systems in animal health to enhance disease surveillance and improve regulatory efficiency. These initiatives promote technological advancement and ensure scalability and integration across veterinary practices, thereby contributing to long-term market expansion and the modernization of animal healthcare 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, application, animal, and region: