The global AI in animal health market size was estimated at USD 1.82 billion in 2025 and is predicted to increase from USD 2.24 billion in 2026 to approximately USD 14.24 billion by 2035, expanding at a CAGR of 22.84% from 2026 to 2035. The AI in animal health market is growing as the incorporation of AI-based technologies in animal health holds significant promise for enhancing diagnostics, treatment, animal welfare, and management performance in both veterinary and agricultural sectors.
AI-based systems support real-time monitoring of animal health, behaviour, and welfare, enabling the early identification of disease and stress and allowing personalised care. AI-based technology predicts disease outbreaks, detecting potential host reservoirs and emerging disease threats, allowing prompt intervention and treatment. AI-based technology is supporting veterinarians in identifying disease earlier, developing targeted treatments, and improving the care for pets and their families. Artificial intelligence is increasingly used in veterinary medicine to help diagnose diseases, conduct disease surveillance, and make clinical decisions. AI-based technology is currently being incorporated into veterinary curricula, and the educational use of AI-based technology prepares students for future clinical applications. AI is used in veterinary medicine to analyze diagnostic images, interpret lab outcomes, monitor herd health, and support disease outbreak prediction.
Workflow Automation:
AI-based technology in the veterinary field lies in its potential to influence health care accessibility by addressing existing resource constraints, particularly in remote villages, and offering timely care of the maximum quality, along with precise diagnoses
Preventive and Predictive Healthcare:
AI-driven technologies are supporting veterinarians in classifying animal health problems sooner, planning more accurate treatments, and preventing or managing disease outbreaks.
Advanced Diagnostics in Imaging:
AI-based technology theoretically reduces misdiagnoses and missed diagnoses, including rarer conditions or unusual presentations. Enhanced workflows from speedier diagnosis could benefit patients and clients.
| Table | Scope |
| Market Size in 2026 | USD 18.48 Billion |
| Projected Market Size in 2035 | USD 134.53 Billion |
| CAGR (2026 - 2035) | 24.68% |
| Leading Region | North America by 46% |
| Historical Data | 2020 - 2023 |
| Base Year | 2025 |
| Forecast Period | 2026 - 2035 |
| Measurable Values | USD Millions/Units/Volume |
| Market Segmentation | By Component, By Technology, By Animal Type, By Application, By Deployment Mode, By End User, By Region |
| Top Key Players | IDEXX Laboratories, Zoetis, Merck Animal Health, Boehringer Ingelheim, Elanco |
| Segment | Share 2025 (%) |
| Software | 46% |
| Hardware | 34% |
| Services | 20% |
The Software Segment Led the AI in Animal Health Market in 2025
The software segment contributed the largest market share of 46% in 2025, as AI-based diagnostic tools such as machine learning algorithms, deep learning, and image recognition systems, which increase the precision and effectiveness of disease detection and surveillance. AI-based technology has immense strength to predict disease outbreaks and optimize treatment approaches. AI-based practice management software rationalizes scheduling, billing, inventory, and client infrastructures.
The hardware segment held a significant share of 34% in the market, as AI-based hardware monitoring systems help in improving farm output and management. Healthy animals grow enhanced, produce more milk or meat, and require fewer healthcare treatments. By reducing disease outbreaks and enhancing early diagnosis, farmers lower veterinary expenses and increase overall farm effectiveness.
The services segment held a significant share of 20% of the AI in animal health market and is expected to grow at the fastest CAGR during the forecast period, as AI-based monitoring systems are used with wearable devices and sensors attached to animals. These devices can measure important parameters such as body temperature, heart rate, activity levels, feeding behavior, and movement patterns.
| Segment | Share 2025 (%) |
| Machine Learning | 31% |
| Deep Learning | 24% |
| Computer Vision | 21% |
| Natural Language Processing | 11% |
| Predictive Analytics | 13% |
Machine Learning Segment Led the AI in Animal Health Market in 2025
The machine learning segment contributed the largest market share of 31%. Machine learning models classify early warning signs of strong epidemics, letting veterinarians and farmers take preventive measures before extensive infection occurs. ML in veterinary diagnostics enhances accuracy. By analysing massive amounts of information, these technologies identify patterns and anomalies that are missed by the human eye.
The deep learning segment held a significant share of 24% of the market, and is expected to grow at the fastest CAGR during the forecast period, as deep learning is transforming animal health by automating diagnostics, predicting disease outbreaks, and incessantly monitoring health conditions. Deep learning has revolutionized animal farming by allowing automated health monitoring, behaviour analysis, and livestock administration.
The computer vision segment held a significant share of 21% of the AI in animal health market, as computer vision systems enable agriculturalists to rely on real-time monitoring of the animals’ body condition score (BCS), enabling them to dispose of a massive amount of data that is directly related to health status, feed suitability, animal production, and growth.
The predictive analytics segment held a significant share of 13% of the market, as predictive analytics enhances care by recognizing challenges before symptoms appear, guiding management plans, and helping with preventive approaches. Predictive analytics in veterinary medicine uses data and algorithms to predict health results, identify risks earlier, and guide preventive care.
The natural language processing segment held a significant share of 11% of the market, as NLP might provide significant advantages, like accuracy, speed, and cost reduction, particularly for routine tasks involving text summarization and report generation. NLP a hopeful technology for achieving precision, adding value, and increasing novelty in medical care.
| Segment | Share 2025 (%) |
| Livestock Animals | 52% |
| Companion Animals | 32% |
| Wildlife Animals | 9% |
| Research Animals | 7% |
The livestock animals segment led the AI in Animal Health Market in 2025
The livestock animals segment contributed the largest market share of 52%, as AI-based technology facilitates advanced record-keeping practices. Farmers significantly track the genetics of every animal, involving parentage, birth dates, and performance metrics. AI-driven monitoring systems support improving farm productivity and management.
The companion animals segment held a significant share of 32% in the market, and is expected to grow at the fastest CAGR during the forecast period, as AI-based systems that track animal behavior and health significantly improved animal welfare, specifically in livestock and companion animal settings. AI-based equipment also supports animal health by continuously monitoring vital signs such as pulse, temperature, and respiration.
The wildlife animals segment held a significant share of 9% in the AI in animal health market, as AI-based predictive systems can analyse health data across limitless numbers of animals, supporting the identification of novel, early indicators of disease, which is a significant tool in pandemic and outbreak preparedness.
The research animals segment held a significant share of 7% in the market, as AI-based technology has an immense contribution in veterinary and allied sciences and has made the diagnosis, treatment, and prognosis rapid, efficient, and cheaper. AI-based animal health in research utilizes machine learning, computer vision, and IoT sensors to offer continuous, non-invasive monitoring, improving welfare and scientific precision
| Segment | Share 2025 (%) |
| Disease Diagnosis & Detection | 28% |
| Monitoring & Tracking | 24% |
| Precision Livestock Farming | 18% |
| Drug Discovery & Development | 11% |
| Veterinary Workflow Automation | 10% |
| Predictive Disease Surveillance | 9% |
The Disease Diagnosis & Detection segment led the AI in Animal Health Market in 2025
The disease diagnosis & detection segment contributed the largest market share of 28%, as AI-based has immense contributions in veterinary and allied sciences and have made the treatment, diagnosis, and prognosis rapid, affordable, and effective. AI-based has the potential to play significant roles in veterinary healthcare practice, improving the way veterinary care is delivered, enhancing results for animals and ultimately humans.
The monitoring & tracking segment held a significant share of 24% in the market, as AI and IoT are transforming livestock health medication and monitoring, creating farming smarter, more effective, and more maintainable. From disease prediction to supplement tracking, these technologies ensure healthier animals and increased productivity.
The precision livestock farming segment held a significant share of 18% in the AI in animal health market, as it enhanced individual health by addressing global hunger and food insecurity, and encouraging more sustainable advancement. Precision livestock farming (PLF) provides promising opportunities for the management of farm animals via continuous real-time information monitoring.
The drug discovery & development segment held a significant share of 11% in the market, as AI-driven technology is used efficiently in various parts of drug discovery, involving drug design, chemical synthesis, drug screening, polypharmacology, and drug repurposing. AI-based system lowers animal testing in drug discovery by 50%.
In 2025, North America dominated the AI in animal health market with a share of 38% in 2025, due to the region having well-developed veterinary clinics and research facilities that rapidly adopted AI-based tools for diagnostics, imaging, and electronic health records. Increasing demand for well-developed medical care for companion animals has fostered a massive sector for, and acceptance of, wearable tools like PetPace and telemedicine, which contribute to the growth of the market.
U.S. Market Trends
In the U.S., hospitals face increasing caseloads and staff limitations, driving the acceptance of AI-driven technology for administrative tasks such as scheduling, record keeping, and diagnostic support. The huge presence of advanced digital health organizations, cloud platforms, and data analytics companies allows faster advancement of AI-based smart collars and predictive diagnostics.
Asia Pacific held 24% share of the AI in animal health market, expected to have the fastest CAGR during the forecast period, as increasing urban middle-class income in China, India, and South Korea has driven a sharp surge in pet possession and pet humanization tendencies, increasing demand for progressive diagnostics. Governments in the region are spending on digital transformation for agriculture, encouraging AI integration for disease surveillance, which contributes to the growth of the market.
India Market Trends
The Indian government is arranging AI-based technology for zoonotic disease management, incorporating agricultural data, livestock databases, and environmental sensors to detect anomalies primarily. AI-based technology is being utilized for real-time monitoring of behavior, feeding, and reproductive health, often using computer vision to identify early symptoms of disease.
| Company | Headquarters | Latest Update |
| IDEXX Laboratories | United States | In January 2026, IDEXX Laboratories, Inc., a worldwide leader in pet healthcare innovation, announced the launch of the ImageVue DR50 Plus Digital Imaging System, its most advanced diagnostic imaging system for veterinary practices |
| Zoetis | United States | In May 2026, Zoetis expanded the capabilities of its Vetscan OptiCell hematology analyzer, becoming the first point-of-care system to provide cellular hemoglobin concentration mean (CHCM), a measurement formerly limited to reference laboratories. |
| Merck Animal Health | United States | In May 2026, Merck Animal Health and eGain announced deeper use of Salesforce platforms, with Merck adopting Agentforce Life Sciences for unified, data-rich consumer engagement and eGain embedding its AI-based Agent. |
| Boehringer Ingelheim | United States | In April 2026, Boehringer Ingelheim, a worldwide leader in animal health, and Eko Health, a leader in AI-based cardiac and pulmonary disease detection, announced the launch of innovative services to detect, visualize, and grade heart murmurs in dogs. |
| Elanco | United States | The organization is vigorously integrating digital services for enhanced diagnostics, supporting its innovation-led growth approaches. |
Strengths
Weaknesses
Opportunities
Threats
By Component
By Technology
By Animal Type
By Application
By Deployment Mode
By End User
By Region
Principal Consultant
Rohan Patil is a seasoned market research professional with over 5+ years of focused experience in the healthcare sector, bringing deep domain expertise, strategic foresight, and analytical precision to every project he undertakes.
Learn more about Rohan Patil
Reviewed By
Aditi Shivarkar is a seasoned professional with over 14 years of experience in healthcare market research. As a content reviewer, Aditi ensures the quality and accuracy of all market insights and data presented by the research team.
Learn more about Aditi Shivarkar
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