Artificial Intelligence In Animal Health Market Report
Veterinary Healthcare

Artificial Intelligence In Animal Health Market Expected To Grow At 18.9% CAGR Through 2030: What Businesses Need To Know

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Artificial Intelligence In Animal Health Market Size Outlook: How Quickly Will Revenue Expand Through 2030?

The artificial intelligence in animal health market size has witnessed rapid expansion in recent years. It is anticipated to grow from $1.44 billion in 2025 to $1.71 billion in 2026, achieving a compound annual growth rate (CAGR) of 19.2%. This historical growth can be attributed to several factors including the rising adoption of AI in animal healthcare, an increased demand for livestock management solutions, ongoing advancements in veterinary diagnostics, the expanding use of wearable and monitoring devices, and the initial integration of AI tools in veterinary practices.

The artificial intelligence in animal health market is anticipated to undergo significant expansion in the foreseeable future. Its valuation is set to reach $3.43 billion by 2030, demonstrating a compound annual growth rate (CAGR) of 18.9%. This growth throughout the projection period stems from factors such as the expansion of AI-powered predictive analytics platforms, the development of deep learning and computer vision applications, the adoption of on-farm AI monitoring systems, the increasing application of AI in drug discovery and development, and the integration of managed AI services and consulting in animal health. Prominent trends for the forecast period include predictive analytics for animal health, AI-based disease detection and diagnosis systems, on-farm monitoring and livestock management tools, AI-enabled animal nutrition and health monitoring, and veterinary practice management software.

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Artificial Intelligence In Animal Health Market Growth Backed By Core Demand Fundamentals

The expansion of pet ownership is expected to propel the growth of the artificial intelligence in animal health market going forward. The pet-owning population, which includes all households with one or more companion animals, forms the key group for specialized animal healthcare and technology-driven solutions. Pet ownership is increasing as more households consider pets as family members, driving higher demand for advanced health monitoring, diagnostics, and preventive care for animals. Artificial Intelligence in animal health helps address this growing pet-owning population by providing predictive analytics, remote monitoring, disease detection, and data-driven insights that improve animal wellbeing and veterinary care efficiency. For instance, in June 2025, according to The American Pet Products Association (APPA), a US-based organization, pet ownership is on the rise, with 94 million u.s. households now having at least one pet, an increase from 82 million in 2023. Therefore, the growing pet ownership is driving the growth of the artificial intelligence in animal health market.

Artificial Intelligence In Animal Health Market Segment Analysis Spotlighting Growth Areas

The artificial intelligence in animal health market covered in this report is segmented –

1) By Solution: Software, Hardware, Services

2) By Technology: Machine Learning, Deep Learning, Natural Language Processing, Computer Vision

3) By Animal Type: Companion Animals, Farm Animals, Aquaculture

4) By Application: Disease Diagnosis and Prognosis, Drug Discovery and Development, Livestock Management, Animal Nutrition and Health Monitoring

5) By End User: Veterinary Clinics, Animal Health Companies, Farmers and Livestock Owners, Research Institutions

Subsegments:

1) By Software: Predictive Analytics Platforms, Disease Detection and Diagnosis Systems, Veterinary Practice Management Software, Imaging and Data Analysis Tools, Animal Behavior Monitoring Applications

2) By Hardware: Wearable Devices, Smart Cameras and Imaging Devices, On-Farm Monitoring Systems, Diagnostic Devices, IoT-Based Data Collection Devices

3) By Services: Consulting and Implementation Services, Training and Support, Data Analytics and Integration Services, Managed AI Services, Maintenance and System Upgrades

Artificial Intelligence In Animal Health Market Growth Trends Reshaping The Competitive Landscape

Major companies operating in the Artificial Intelligence in Animal Health Market are increasingly focused on integrating wearable and smart sensor technologies to enhance the real-time oversight of animal health and accelerate preventive care. These wearable devices and sensors gather information on vital signs, behavior, and activity levels. This data is then analyzed by AI algorithms to identify early signs of illness, stress, or abnormal behavior, thereby improving overall animal welfare. For example, in 2023, PetPace, a US-based animal health technology company, launched an AI-powered smart collar that monitors pets’ heart rate, temperature, and activity patterns, delivering real-time alerts to veterinarians and pet owners when anomalies are detected. The intention behind this innovation is to allow for continuous, non-invasive monitoring, facilitate early disease diagnosis, improve treatment efficacy, and reduce veterinary intervention costs through predictive health management.

Artificial Intelligence In Animal Health Market Top Companies Driving Competitive Growth

Major companies operating in the artificial intelligence in animal health market are Zoetis, IDEXX Laboratories, Merck Animal Health, Boehringer Ingelheim Animal Health, Elanco Animal Health, Ceva Santé Animale, Mars Petcare, Heska Corporation, Covetrus, ImpriMed, Vetology, Petriage, SignalPET, VetCT, LifeLearn, OneCup AI, AI Superior GmbH, PetPace, Heidi Health, Evidensia

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Artificial Intelligence In Animal Health Market Global Footprint: Which Region Leads The Market?

North America was the largest region in the artificial intelligence (AI) in animal health market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence in animal health market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

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