The artificial intelligence in animal health market size is expected to see rapid growth in the next few years. It will grow to $3.43 billion in 2030 at a compound annual growth rate (CAGR) of 18.9%. The growth in the forecast period can be attributed to expansion of ai-powered predictive analytics platforms, growth of deep learning and computer vision applications, adoption of on-farm ai monitoring systems, increasing use of ai in drug discovery and development, integration of managed ai services and consulting in animal health. Major trends in 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, veterinary practice management software.
The growing pet ownership is anticipated to drive the expansion of the artificial intelligence in animal health market in the coming years. The pet-owning population includes all households that have one or more companion animals, representing the primary segment for specialized animal healthcare and technology-enabled solutions. Pet ownership is increasing as more households consider pets part of the family, leading to greater demand for advanced health monitoring, diagnostics, and preventive care for animals. Artificial intelligence in animal health addresses this growing population by offering predictive analytics, remote monitoring, disease detection, and data-driven insights that enhance animal wellbeing and improve the efficiency of veterinary care. For instance, in June 2025, according to The American Pet Products Association (APPA), a US-based organization, pet ownership continued to rise, with 94 million US households owning at least one pet, up from 82 million in 2023. Therefore, the growing pet ownership is fueling the growth of the artificial intelligence in animal health market.
Key companies operating in the artificial intelligence in animal health market are emphasizing the integration of wearable and smart sensor technologies to enhance real-time monitoring of animal health and strengthen preventive care efforts. Wearable devices and sensors collect data on vital signs, behavior, and activity levels, which are analyzed by AI algorithms to identify early signs of illness, stress, or abnormal behavior, thereby improving animal welfare. For example, in 2023, PetPace, a US-based animal health technology company, introduced an AI-powered smart collar that tracks pets’ heart rate, temperature, and activity patterns, providing real-time alerts to veterinarians and pet owners when irregularities are detected. The objective of this innovation is to enable continuous, non-invasive monitoring, facilitate early disease detection, improve treatment outcomes, and lower veterinary intervention costs through predictive health management.
In July 2025, Vetted Pet Health, a US-based digital pet wellness company, acquired the AI technology assets of Dogiz, an Israel-based pet health startup, for an undisclosed amount. Through this acquisition, Vetted Pet Health aims to enhance its upcoming mobile application with AI-driven features such as personalized habit tracking, preventive care insights, and community engagement tools for pet owners. Dogiz is an Israel-based company specializing in AI solutions for monitoring and analyzing pet health behaviors to generate actionable wellness recommendations.
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.
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. The countries covered in the artificial intelligence in animal health market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
Tariffs have influenced the AI in animal health market by raising costs for imported AI-enabled devices, wearable monitoring systems, and diagnostic hardware. Segments such as software platforms, hardware devices, and IoT-enabled monitoring systems are most affected, particularly in regions like North America, Europe, and Asia-Pacific. While tariffs have increased operational and procurement costs, they have also encouraged local innovation, accelerated domestic production of AI tools, and supported the development of cost-efficient and regionally adapted animal health solutions.
The artificial intelligence in animal health market research report is one of a series of new reports that provides artificial intelligence in animal health market statistics, including artificial intelligence in animal health industry global market size, regional shares, competitors with a artificial intelligence in animal health market share, detailed artificial intelligence in animal health market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence in animal health industry. This artificial intelligence in animal health market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.
The artificial intelligence in animal health market refers to the application of advanced technologies such as machine learning, deep learning, and data analytics to improve animal care, diagnostics, and disease management. It involves the use of AI-driven tools for monitoring livestock health, predicting disease outbreaks, enhancing veterinary diagnostics, and optimizing animal breeding. These technologies support data-driven decision-making, increase productivity, and lower healthcare costs in the animal sector.
The primary solutions for artificial intelligence in animal health are software, hardware, and services. Artificial intelligence (AI) in animal health software enables faster decision-making and enhances treatment accuracy. The various technologies include machine learning, deep learning, natural language processing, and computer vision. These are applied to different animal types such as companion animals, farm animals, and aquaculture. They are utilized in various applications such as disease diagnosis and prognosis, drug discovery and development, livestock management, animal nutrition, and health monitoring, and are used by various end users such as veterinary clinics, animal health companies, farmers and livestock owners, and research institutions.
The artificial Intelligence in animal health market consists of revenues earned by entities by providing services such as AI-based diagnostic services, disease prediction and monitoring, precision livestock management, veterinary data analytics, and automated imaging solutions. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial Intelligence in animal health market also includes sales of products including AI-powered sensors, diagnostic devices, monitoring software, and predictive analytics tools. Values in this market are ‘factory gate’ values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).
The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.
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Table of Contents
Executive Summary
Artificial Intelligence In Animal Health Market Global Report 2026 provides strategists, marketers and senior management with the critical information they need to assess the market.This report focuses artificial intelligence in animal health market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
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Description
Where is the largest and fastest growing market for artificial intelligence in animal health? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The artificial intelligence in animal health market global report answers all these questions and many more.The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.
- The market characteristics section of the report defines and explains the market. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
- The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
- The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
- The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
- The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
- The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
- The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
- The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
- Market segmentations break down the market into sub markets.
- The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
- Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
- The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
- The company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.
Report Scope
Markets Covered:
1) By Solution: Software; Hardware; Services2) 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 Applications2) 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
Companies Mentioned: 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
Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain
Regions: Asia-Pacific; South East Asia; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time Series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita.
Data Segmentation: Country and regional historic and forecast data, market share of competitors, market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
Delivery Format: Word, PDF or Interactive Report + Excel Dashboard
Added Benefits:
- Bi-Annual Data Update
- Customisation
- Expert Consultant Support
Companies Mentioned
The companies featured in this Artificial Intelligence in Animal Health market report include:- 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
Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 250 |
| Published | February 2026 |
| Forecast Period | 2026 - 2030 |
| Estimated Market Value ( USD | $ 1.71 Billion |
| Forecasted Market Value ( USD | $ 3.43 Billion |
| Compound Annual Growth Rate | 18.9% |
| Regions Covered | Global |
| No. of Companies Mentioned | 21 |


