Artificial Intelligence (AI) In Animal Health Market Size and Outlook 2031

Report Description

Forecast Period	2027-2031
Market Size (2025)	USD 1245.65 Million
CAGR (2026-2031)	11.11%
Fastest Growing Segment	Diagnostics
Largest Market	North America
Market Size (2031)	USD 2343.77 Million

Market Overview

The Global Artificial Intelligence (AI) In Animal Health Market will grow from USD 1245.65 Million in 2025 to USD 2343.77 Million by 2031 at a 11.11% CAGR. Artificial intelligence in the animal health sector involves the application of machine learning algorithms and predictive analytics to enhance veterinary diagnostics, disease monitoring, and livestock management. The primary drivers fueling this market include the global necessity for efficient livestock production to ensure food security and the rising trend of pet humanization that increases expenditure on veterinary care. According to the American Pet Products Association, in 2025, 94 million U.S. households owned at least one pet. This substantial ownership rate underscores the expanding addressable market for advanced health technologies designed to improve companion animal longevity and well being.

Despite these growth factors, the market faces a significant challenge regarding data privacy and the standardization of veterinary medical records. The lack of uniform data formats across different clinics and regions complicates the training of robust AI models and creates interoperability issues. Furthermore, veterinary professionals often express concerns regarding the reliability of algorithmic diagnoses and the potential legal implications of automated decision making, which can hinder the widespread adoption of these digital tools in clinical practice.

Key Market Drivers

The surge in companion animal ownership and pet humanization is fundamentally reshaping the market by generating an unprecedented demand for advanced veterinary diagnostics. As owners increasingly view pets as family members, they are willing to invest in sophisticated healthcare solutions that offer hospital-grade accuracy, driving clinics to integrate artificial intelligence for earlier disease detection. This trend is accelerating the deployment of AI-enhanced tools capable of analyzing complex pathology samples with speed and precision previously unattainable in standard practice. For instance, according to Zoetis, June 2025, in the 'Zoetis Launches AI Masses' announcement, the company introduced a new AI-powered capability for its Vetscan Imagyst platform that identifies potential neoplastic cells in lymph node and skin samples in minutes, directly addressing the need for rapid cancer screening.

Simultaneously, the increasing adoption of precision livestock farming solutions is acting as a critical catalyst for market expansion, fueled by the global imperative to maximize yield and ensure food security. Farmers are leveraging AI-driven analytics to monitor herd health in real-time, allowing for the proactive management of parasites and disease outbreaks that threaten supply chains. A notable development in this sector occurred when, according to Techion, May 2025, in a corporate update, the company released an enhanced AI algorithm for its FECPAK system that delivers instant, automated faecal egg count results to optimize grazing management. The broader momentum of these technologies is evident globally; according to Vet Candy, October 2025, a cross-sectional study highlighted that 71% of veterinary professionals in China have already utilized AI tools in their professional work, underscoring the rapid integration of these digital innovations across different markets.

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Key Market Challenges

The lack of uniform data formats and prevailing concerns regarding data privacy create a fragmented landscape that severely impedes the scalability of artificial intelligence in the animal health market. Because veterinary clinics across different regions utilize disparate record-keeping systems that often lack interoperability, developers face substantial difficulties in aggregating the high-quality, standardized datasets required to train robust machine learning models. This fragmentation restricts the development of universally applicable diagnostic tools and forces companies to invest heavily in custom integration efforts rather than innovation, thereby slowing the overall pace of market expansion.

Furthermore, professional hesitation stemming from doubts about algorithmic reliability directly limits the clinical adoption of these technologies. Veterinary practitioners remain cautious about relying on automated tools that may lack transparency, fearing potential legal liabilities in cases of misdiagnosis. This skepticism is substantiated by recent industry data highlighting the prevalence of such concerns among practitioners. According to the British Veterinary Association, in 2025, 83% of surveyed veterinarians identified the risk of AI results being interpreted without context as a major barrier to utilizing these advanced systems. Consequently, this widespread lack of trust forces the market to grow at a decelerated rate as vendors struggle to prove the clinical safety and consistent accuracy of their solutions.

Key Market Trends

The Rise of AI-Integrated Automated Feeding and Milking Systems is transforming dairy management by addressing critical labor shortages and enhancing operational efficiency through robotics. These systems leverage computer vision and machine learning to automate labor-intensive tasks such as milking and feeding, ensuring consistent herd performance and animal welfare without continuous human intervention. This automation allows for precise, individual-level care at scale, optimizing production cycles based on real-time data analysis. The accelerating adoption of these technologies is evident in recent industrial milestones; according to Lely, February 2025, in the 'Lely reports financials over 2024' release, the company celebrated the installation of its 50,000th Astronaut milking robot globally, reflecting the surging demand for autonomous farm solutions.

Simultaneously, the Emergence of AI-Personalized Nutrition and Treatment Plans is reshaping the companion animal sector, enabling pet owners to utilize smartphone-based diagnostic tools for proactive wellness management. This trend focuses on integrating artificial intelligence with nutritional science to provide real-time health insights, such as dental or digestive analysis, directly to consumers, thereby bridging the gap between daily care and professional veterinary advice. Major players are capitalizing on this shift with massive capital injections to build digital ecosystems; according to Mars, Incorporated, May 2025, in the 'Mars puts pet health in pet parents' hands with new artificial intelligence powered tools' announcement, the company revealed that its new suite of digital health tools is part of a broader $1 billion investment driving digital innovation in pet nutrition and care.

Segmental Insights

The Diagnostics segment is widely recognized as the fastest-growing category within the Global Artificial Intelligence in Animal Health Market. This rapid expansion is primarily driven by the increasing prevalence of chronic and infectious diseases in companion and livestock animals, which creates an urgent need for precise early detection methods. Veterinary professionals are accelerating the adoption of AI-integrated tools, particularly for automated image analysis in radiology and pathology, to enhance diagnostic accuracy and consistency. By processing complex medical data more efficiently than manual interpretation, these technologies streamline clinical workflows and support the industry-wide shift toward high-quality, preventive veterinary care.

Regional Insights

North America leads the Global Artificial Intelligence in Animal Health Market due to the strong presence of major technology and veterinary companies driving innovation. The region benefits from substantial investment in research and development combined with a high adoption rate of digital diagnostics in veterinary clinics. Furthermore, clear guidance from regulatory bodies like the U.S. Food and Drug Administration facilitates the approval and commercialization of new medical technologies. This favorable environment, supported by rising expenditure on animal welfare and livestock management, secures the position of North America as the dominant market revenue contributor.

Recent Developments

In June 2025, Zoetis Inc. launched AI Masses, a new diagnostic capability for its Vetscan Imagyst platform in North America. This artificial intelligence-driven feature was designed to streamline the detection of potentially cancerous cells in lymph node and skin or subcutaneous aspirates. By leveraging advanced deep learning algorithms, the tool provided veterinarians with rapid, in-clinic assessment of masses, identifying neoplastic changes with high accuracy. The launch expanded the platform’s versatility, offering a total of seven testing applications and allowing veterinary teams to make informed treatment decisions more quickly and confidently directly at the point of care.
In May 2025, Mars, Incorporated launched a suite of artificial intelligence-enabled digital health tools aimed at empowering pet owners to monitor their animals' well-being. The initial release included the GREENIES Canine Dental Check, an AI-powered tool that analyzed photos of a dog’s teeth and gums taken with a smartphone to detect early signs of dental issues such as tartar buildup. This development was part of the company’s broader $1 billion investment to digitize pet healthcare and utilized an algorithm trained on thousands of images to provide rapid, accessible screening for common conditions directly to consumers.
In February 2024, Boehringer Ingelheim entered into a global commercial partnership with Sleip, a technology company specializing in equine health solutions. This collaboration focused on expanding access to an artificial intelligence-powered application designed to detect and diagnose lameness in horses. The application allowed veterinarians to record a horse's movement using a standard smartphone, after which the AI technology analyzed the biomechanical data to identify asymmetries. The partnership aimed to support early detection and monitoring of lameness, leveraging Boehringer Ingelheim’s extensive reach in the equine veterinary market to distribute this advanced digital diagnostic tool to practitioners worldwide.
In January 2024, IDEXX Laboratories announced the launch of the inVue Dx Cellular Analyzer, a novel slide-free cellular analysis device for veterinary clinics. This platform utilized deep artificial intelligence learning models to detect common cytologic changes in ear and blood samples, delivering reference-laboratory quality results within 10 minutes. By eliminating the need for manual slide preparation and microscopy, the analyzer streamlined clinic workflows and provided multidimensional images of sample findings. The system was designed to seamlessly integrate with the company's existing suite of point-of-care analyzers and practice management software, significantly enhancing diagnostic efficiency for veterinary practitioners during patient visits.

Key Market Players

Zoetis Services LLC
Merck & Co., Inc.
Laboratory Corporation of America Holdings
Heska Corporation
SignalPET
VetCT
Vetology LLC.
OneCup AI
Petriage
ImpriMed, Inc.

By Solutions	By Phase	By Application	By Type	By Region
Hardware Software & Services	Phase I Phase II Phase III Phase IV	Diagnostics Identification Tracking Monitoring Others	Companion Animals Production Animals	North America Europe Asia Pacific South America Middle East & Africa

Report Scope:

In this report, the Global Artificial Intelligence (AI) In Animal Health Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

Artificial Intelligence (AI) In Animal Health Market, By Solutions:

Hardware
Software & Services

Artificial Intelligence (AI) In Animal Health Market, By Phase:

Phase I
Phase II
Phase III
Phase IV

Artificial Intelligence (AI) In Animal Health Market, By Application:

Diagnostics
Identification
Tracking
Monitoring
Others

Artificial Intelligence (AI) In Animal Health Market, By Type:

Companion Animals
Production Animals

Artificial Intelligence (AI) In Animal Health Market, By Region:

North America

United States
Canada
Mexico

Europe

France
United Kingdom
Italy
Germany
Spain

Asia Pacific

China
India
Japan
Australia
South Korea

South America

Brazil
Argentina
Colombia

Middle East & Africa

South Africa
Saudi Arabia
UAE

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global Artificial Intelligence (AI) In Animal Health Market.

Available Customizations:

Global Artificial Intelligence (AI) In Animal Health Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

Detailed analysis and profiling of additional market players (up to five).

Global Artificial Intelligence (AI) In Animal Health Market is an upcoming report to be released soon. If you wish an early delivery of this report or want to confirm the date of release, please contact us at [email protected]

Table of content

1. Product Overview

1.1. Market Definition

1.2. Scope of the Market

1.2.1. Markets Covered

1.2.2. Years Considered for Study

1.2.3. Key Market Segmentations

2. Research Methodology

2.1. Objective of the Study

2.2. Baseline Methodology

2.3. Key Industry Partners

2.4. Major Association and Secondary Sources

2.5. Forecasting Methodology

2.6. Data Triangulation & Validation

2.7. Assumptions and Limitations

3. Executive Summary

3.1. Overview of the Market

3.2. Overview of Key Market Segmentations

3.3. Overview of Key Market Players

3.4. Overview of Key Regions/Countries

3.5. Overview of Market Drivers, Challenges, Trends

4. Voice of Customer

5. Global Artificial Intelligence (AI) In Animal Health Market Outlook

5.1. Market Size & Forecast

5.1.1. By Value

5.2. Market Share & Forecast

5.2.1. By Solutions (Hardware, Software & Services)

5.2.2. By Phase (Phase I, Phase II, Phase III, Phase IV)

5.2.3. By Application (Diagnostics, Identification, Tracking, Monitoring, Others)

5.2.4. By Type (Companion Animals, Production Animals)

5.2.5. By Region

5.2.6. By Company (2025)

5.3. Market Map

6. North America Artificial Intelligence (AI) In Animal Health Market Outlook

6.1. Market Size & Forecast

6.1.1. By Value

6.2. Market Share & Forecast

6.2.1. By Solutions

6.2.2. By Phase

6.2.3. By Application

6.2.4. By Type

6.2.5. By Country

6.3. North America: Country Analysis

6.3.1. United States Artificial Intelligence (AI) In Animal Health Market Outlook

6.3.1.1. Market Size & Forecast

6.3.1.1.1. By Value

6.3.1.2. Market Share & Forecast

6.3.1.2.1. By Solutions

6.3.1.2.2. By Phase

6.3.1.2.3. By Application

6.3.1.2.4. By Type

6.3.2. Canada Artificial Intelligence (AI) In Animal Health Market Outlook

6.3.2.1. Market Size & Forecast

6.3.2.1.1. By Value

6.3.2.2. Market Share & Forecast

6.3.2.2.1. By Solutions

6.3.2.2.2. By Phase

6.3.2.2.3. By Application

6.3.2.2.4. By Type

6.3.3. Mexico Artificial Intelligence (AI) In Animal Health Market Outlook

6.3.3.1. Market Size & Forecast

6.3.3.1.1. By Value

6.3.3.2. Market Share & Forecast

6.3.3.2.1. By Solutions

6.3.3.2.2. By Phase

6.3.3.2.3. By Application

6.3.3.2.4. By Type

7. Europe Artificial Intelligence (AI) In Animal Health Market Outlook

7.1. Market Size & Forecast

7.1.1. By Value

7.2. Market Share & Forecast

7.2.1. By Solutions

7.2.2. By Phase

7.2.3. By Application

7.2.4. By Type

7.2.5. By Country

7.3. Europe: Country Analysis

7.3.1. Germany Artificial Intelligence (AI) In Animal Health Market Outlook

7.3.1.1. Market Size & Forecast

7.3.1.1.1. By Value

7.3.1.2. Market Share & Forecast

7.3.1.2.1. By Solutions

7.3.1.2.2. By Phase

7.3.1.2.3. By Application

7.3.1.2.4. By Type

7.3.2. France Artificial Intelligence (AI) In Animal Health Market Outlook

7.3.2.1. Market Size & Forecast

7.3.2.1.1. By Value

7.3.2.2. Market Share & Forecast

7.3.2.2.1. By Solutions

7.3.2.2.2. By Phase

7.3.2.2.3. By Application

7.3.2.2.4. By Type

7.3.3. United Kingdom Artificial Intelligence (AI) In Animal Health Market Outlook

7.3.3.1. Market Size & Forecast

7.3.3.1.1. By Value

7.3.3.2. Market Share & Forecast

7.3.3.2.1. By Solutions

7.3.3.2.2. By Phase

7.3.3.2.3. By Application

7.3.3.2.4. By Type

7.3.4. Italy Artificial Intelligence (AI) In Animal Health Market Outlook

7.3.4.1. Market Size & Forecast

7.3.4.1.1. By Value

7.3.4.2. Market Share & Forecast

7.3.4.2.1. By Solutions

7.3.4.2.2. By Phase

7.3.4.2.3. By Application

7.3.4.2.4. By Type

7.3.5. Spain Artificial Intelligence (AI) In Animal Health Market Outlook

7.3.5.1. Market Size & Forecast

7.3.5.1.1. By Value

7.3.5.2. Market Share & Forecast

7.3.5.2.1. By Solutions

7.3.5.2.2. By Phase

7.3.5.2.3. By Application

7.3.5.2.4. By Type

8. Asia Pacific Artificial Intelligence (AI) In Animal Health Market Outlook

8.1. Market Size & Forecast

8.1.1. By Value

8.2. Market Share & Forecast

8.2.1. By Solutions

8.2.2. By Phase

8.2.3. By Application

8.2.4. By Type

8.2.5. By Country

8.3. Asia Pacific: Country Analysis

8.3.1. China Artificial Intelligence (AI) In Animal Health Market Outlook

8.3.1.1. Market Size & Forecast

8.3.1.1.1. By Value

8.3.1.2. Market Share & Forecast

8.3.1.2.1. By Solutions

8.3.1.2.2. By Phase

8.3.1.2.3. By Application

8.3.1.2.4. By Type

8.3.2. India Artificial Intelligence (AI) In Animal Health Market Outlook

8.3.2.1. Market Size & Forecast

8.3.2.1.1. By Value

8.3.2.2. Market Share & Forecast

8.3.2.2.1. By Solutions

8.3.2.2.2. By Phase

8.3.2.2.3. By Application

8.3.2.2.4. By Type

8.3.3. Japan Artificial Intelligence (AI) In Animal Health Market Outlook

8.3.3.1. Market Size & Forecast

8.3.3.1.1. By Value

8.3.3.2. Market Share & Forecast

8.3.3.2.1. By Solutions

8.3.3.2.2. By Phase

8.3.3.2.3. By Application

8.3.3.2.4. By Type

8.3.4. South Korea Artificial Intelligence (AI) In Animal Health Market Outlook

8.3.4.1. Market Size & Forecast

8.3.4.1.1. By Value

8.3.4.2. Market Share & Forecast

8.3.4.2.1. By Solutions

8.3.4.2.2. By Phase

8.3.4.2.3. By Application

8.3.4.2.4. By Type

8.3.5. Australia Artificial Intelligence (AI) In Animal Health Market Outlook

8.3.5.1. Market Size & Forecast

8.3.5.1.1. By Value

8.3.5.2. Market Share & Forecast

8.3.5.2.1. By Solutions

8.3.5.2.2. By Phase

8.3.5.2.3. By Application

8.3.5.2.4. By Type

9. Middle East & Africa Artificial Intelligence (AI) In Animal Health Market Outlook

9.1. Market Size & Forecast

9.1.1. By Value

9.2. Market Share & Forecast

9.2.1. By Solutions

9.2.2. By Phase

9.2.3. By Application

9.2.4. By Type

9.2.5. By Country

9.3. Middle East & Africa: Country Analysis

9.3.1. Saudi Arabia Artificial Intelligence (AI) In Animal Health Market Outlook

9.3.1.1. Market Size & Forecast

9.3.1.1.1. By Value

9.3.1.2. Market Share & Forecast

9.3.1.2.1. By Solutions

9.3.1.2.2. By Phase

9.3.1.2.3. By Application

9.3.1.2.4. By Type

9.3.2. UAE Artificial Intelligence (AI) In Animal Health Market Outlook

9.3.2.1. Market Size & Forecast

9.3.2.1.1. By Value

9.3.2.2. Market Share & Forecast

9.3.2.2.1. By Solutions

9.3.2.2.2. By Phase

9.3.2.2.3. By Application

9.3.2.2.4. By Type

9.3.3. South Africa Artificial Intelligence (AI) In Animal Health Market Outlook

9.3.3.1. Market Size & Forecast

9.3.3.1.1. By Value

9.3.3.2. Market Share & Forecast

9.3.3.2.1. By Solutions

9.3.3.2.2. By Phase

9.3.3.2.3. By Application

9.3.3.2.4. By Type

10. South America Artificial Intelligence (AI) In Animal Health Market Outlook

10.1. Market Size & Forecast

10.1.1. By Value

10.2. Market Share & Forecast

10.2.1. By Solutions

10.2.2. By Phase

10.2.3. By Application

10.2.4. By Type

10.2.5. By Country

10.3. South America: Country Analysis

10.3.1. Brazil Artificial Intelligence (AI) In Animal Health Market Outlook

10.3.1.1. Market Size & Forecast

10.3.1.1.1. By Value

10.3.1.2. Market Share & Forecast

10.3.1.2.1. By Solutions

10.3.1.2.2. By Phase

10.3.1.2.3. By Application

10.3.1.2.4. By Type

10.3.2. Colombia Artificial Intelligence (AI) In Animal Health Market Outlook

10.3.2.1. Market Size & Forecast

10.3.2.1.1. By Value

10.3.2.2. Market Share & Forecast

10.3.2.2.1. By Solutions

10.3.2.2.2. By Phase

10.3.2.2.3. By Application

10.3.2.2.4. By Type

10.3.3. Argentina Artificial Intelligence (AI) In Animal Health Market Outlook

10.3.3.1. Market Size & Forecast

10.3.3.1.1. By Value

10.3.3.2. Market Share & Forecast

10.3.3.2.1. By Solutions

10.3.3.2.2. By Phase

10.3.3.2.3. By Application

10.3.3.2.4. By Type

11. Market Dynamics

11.1. Drivers

11.2. Challenges

12. Market Trends & Developments

12.1. Merger & Acquisition (If Any)

12.2. Product Launches (If Any)

12.3. Recent Developments

13. Global Artificial Intelligence (AI) In Animal Health Market: SWOT Analysis

14. Porter's Five Forces Analysis

14.1. Competition in the Industry

14.2. Potential of New Entrants

14.3. Power of Suppliers

14.4. Power of Customers

14.5. Threat of Substitute Products

15. Competitive Landscape

15.1. Zoetis Services LLC

15.1.1. Business Overview

15.1.2. Products & Services

15.1.3. Recent Developments

15.1.4. Key Personnel

15.1.5. SWOT Analysis

15.2. Merck & Co., Inc.

15.3. Laboratory Corporation of America Holdings

15.4. Heska Corporation

15.5. SignalPET

15.6. VetCT

15.7. Vetology LLC.

15.8. OneCup AI

15.9. Petriage

15.10. ImpriMed, Inc.

16. Strategic Recommendations

17. About Us & Disclaimer

Report Description

Table of content

Figures and Tables

Frequently asked questions

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