Artificial Intelligence (AI) in Animal Health Market by Technology (Machine Learning, Natural Language Processing, Robotics, Computer Vision), by Application (Disease Diagnostics, Predictive Healthcare, Veterinary Imaging, Treatment Planning, Animal Monitoring), by End-User (Veterinary Clinics, Animal Farms, Pet Care Providers, Research & Development Institutions), by Product (AI Software, AI Hardware, AI Services), and by Region; Global Insights & Forecast (2023 – 2030)

As per Intent Market Research, the Artificial Intelligence (AI) In Animal Health Market was valued at USD 1.6 Billion in 2024-e and will surpass USD 4.0 Billion by 2030; growing at a CAGR of 16.9% during 2025-2030.

The AI in animal health market is experiencing significant growth due to the increasing adoption of advanced technologies that enable improved diagnostics, monitoring, and treatment for animals. Artificial intelligence solutions are being used to enhance veterinary practices, optimize animal healthcare, and predict potential health issues. With applications ranging from disease diagnostics to predictive healthcare and animal monitoring, AI is revolutionizing the veterinary sector, providing tools that support better outcomes for both livestock and pets. The market's growth is also being driven by the increasing awareness of animal health and the demand for more personalized and efficient healthcare solutions.

Machine Learning Technology is Leading the Charge in AI for Animal Health

Machine learning is the largest segment within the AI technology space for animal health due to its ability to analyze vast amounts of data and derive meaningful insights. This technology is used extensively in diagnostics, disease prediction, and treatment planning. By utilizing algorithms to detect patterns in medical data, machine learning is transforming the way veterinarians approach patient care. It helps improve diagnostic accuracy, reduce human error, and allows for predictive health monitoring, which is crucial in both livestock management and companion animal care. The ability to continuously learn and improve with more data ensures that machine learning will remain at the forefront of AI applications in the animal health sector.

Disease Diagnostics Application is Key to Advancing Veterinary Healthcare

In terms of application, disease diagnostics holds the largest share in the AI in animal health market. The ability to diagnose diseases at an early stage using AI-driven tools is a game changer in veterinary healthcare. AI-powered diagnostic systems, often leveraging machine learning and computer vision, can analyze medical imaging, detect abnormalities, and identify patterns that are not visible to the human eye. This leads to faster, more accurate diagnoses, enabling earlier intervention and more effective treatment plans. Disease diagnostics are particularly important in the livestock industry, where early detection can prevent the spread of infectious diseases and reduce economic losses. The growth of this segment is expected to continue as veterinarians and animal health professionals increasingly rely on AI to support their diagnostic decisions.

Veterinary Clinics Drive the End-User Market for AI in Animal Health

Veterinary clinics are the largest end-user segment in the AI in animal health market, as they represent a significant portion of the overall animal healthcare ecosystem. Veterinary clinics benefit from AI technologies that enhance diagnostic capabilities, improve treatment planning, and provide personalized care for animals. With the rising demand for advanced veterinary services, particularly in urban areas, the adoption of AI technologies is becoming essential for providing high-quality care. AI-powered tools like diagnostic imaging software and patient management systems allow veterinary clinics to offer more accurate, timely, and efficient services, which is increasing their popularity. As the veterinary care sector grows, the demand for AI solutions is likely to continue expanding within clinics worldwide.

AI Software Leads the Product Market in Animal Health

AI software dominates the product segment in the AI in animal health market due to its broad application across various healthcare solutions. Software solutions are designed to optimize animal health diagnostics, monitoring, and management by incorporating machine learning algorithms, data analysis, and predictive capabilities. These software solutions enable veterinary professionals to make more informed decisions, ultimately improving patient outcomes. The rise of cloud-based AI software also offers greater accessibility, scalability, and integration with existing veterinary systems. As the demand for more sophisticated veterinary care grows, the role of AI software is expected to expand, supporting veterinarians and healthcare providers in delivering more personalized and effective treatments.

North America is the Leading Region for AI in Animal Health

North America holds the largest share in the AI in animal health market, driven by advanced healthcare infrastructure, high adoption rates of AI technologies, and significant investments in animal health research. The United States, in particular, has been at the forefront of integrating AI into various sectors, including veterinary care. With a strong presence of AI technology companies and research institutions, the region is seeing rapid growth in the application of AI in diagnostics, monitoring, and disease prevention. The increasing focus on pet health and the growing livestock industry are key factors contributing to North America's dominance in this market. Furthermore, regulatory frameworks in North America support the adoption of AI in animal health, fostering innovation and facilitating market growth.

Competitive Landscape and Leading Companies in AI for Animal Health

The AI in animal health market is highly competitive, with numerous companies leading the charge in developing and implementing AI technologies. Zoetis Inc. and Merck Animal Health are among the top players, offering AI-powered solutions that improve animal healthcare and diagnostics. Other significant companies like IBM Corporation, Vetsolutions, and PetPace LLC are also contributing to the growth of this market by providing advanced AI solutions such as veterinary imaging tools, disease detection systems, and real-time health monitoring services. With the increasing demand for AI technologies, these companies are continually innovating to expand their product offerings and maintain a competitive edge. Partnerships, acquisitions, and collaborations are common in the market as companies seek to strengthen their capabilities and increase their market presence. As the industry continues to evolve, companies will need to focus on innovation and quality to stay ahead in this rapidly growing sector.

List of Leading Companies:

• Zoetis Inc.
• Merck Animal Health
• IBM Corporation
• Vetsolutions (Hill’s Pet Nutrition)
• AAI (Animal Artificial Intelligence) Technologies
• PetPace LLC
• Data Science Automation
• ForceField Technologies
• Companion Medical Systems
• Vetology AI
• Agribotix
• PathAI
• Intel Corporation
• NVIDIA Corporation
• DVM360

Recent Developments:

• Zoetis Inc. launched a new AI-driven veterinary imaging platform that uses machine learning to diagnose diseases faster and with greater accuracy in both small and large animals.
• Merck Animal Health acquired a leading AI company focused on veterinary diagnostics, strengthening its position in the animal healthcare market with innovative technology.
• IBM Corporation announced a partnership with a major pet care provider to enhance their AI-based animal monitoring solutions, improving real-time health monitoring for pets.
• PathAI introduced a new AI-powered diagnostic tool for animal health professionals to detect early signs of diseases in livestock, particularly in cattle and poultry.
• NVIDIA Corporation expanded its collaboration with leading veterinary research institutions to integrate AI into animal health solutions, improving diagnostic tools and treatment plans.

Report Scope: