The AI in U.S. animal health market size was estimated at USD 514.83 million in 2024 and is projected to reach USD 2.51 billion by 2033, growing at a CAGR of 19.94% from 2025 to 2033. The market is growing rapidly due to increasing demand for faster, more accurate diagnostics, rising prevalence of pet diseases, increasing pet ownership, and spending on advanced veterinary care.
In addition, artificial intelligence (AI) integration in diagnostic imaging, predictive analytics, and remote monitoring enhances clinical efficiency and early disease detection. The Artificial Intelligence in U.S. animal health market is rapidly evolving, driven by the growing demand for faster, more accurate diagnostics and the increasing use of digital tools in veterinary practices. AI technologies are revolutionizing veterinary care by automating image analysis, streamlining diagnostics, and enhancing clinical decision-making. Companies such as Zoetis are leading innovation with AI-powered solutions such as Vetscan Imagyst, which provides automated cytology and fecal analysis, enabling veterinarians to diagnose conditions within minutes. Similarly, IDEXX Laboratories and Mars Petcare’s ANTECH are integrating AI into imaging and pathology platforms to enhance diagnostic precision and operational efficiency across veterinary networks.
Beyond diagnostics, AI is expanding into preventive care, disease prediction, and personalized treatment planning. Wearable devices and remote monitoring systems, such as those developed by Whistle Health and PetPace, use AI algorithms to track vital signs, detect behavioral changes, and alert owners or veterinarians to potential health issues in real time. These innovations address the nationwide shortage of veterinary professionals by improving workflow automation and enabling data-driven care.
Strategic partnerships and technological convergence further support the market's growth. For instance, Covetrus Pulse integrates seamlessly with Zoetis Diagnostics, linking AI-powered tools such as Imagyst to cloud-based management systems for faster data sharing, billing accuracy, and improved patient outcomes. With continued advances in machine learning, connectivity, and cloud infrastructure, AI is poised to redefine animal healthcare delivery in the U.S., making diagnostics more accessible, efficient, and proactive across both companion and production animal sectors.
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In addition, artificial intelligence (AI) integration in diagnostic imaging, predictive analytics, and remote monitoring enhances clinical efficiency and early disease detection. The Artificial Intelligence in U.S. animal health market is rapidly evolving, driven by the growing demand for faster, more accurate diagnostics and the increasing use of digital tools in veterinary practices. AI technologies are revolutionizing veterinary care by automating image analysis, streamlining diagnostics, and enhancing clinical decision-making. Companies such as Zoetis are leading innovation with AI-powered solutions such as Vetscan Imagyst, which provides automated cytology and fecal analysis, enabling veterinarians to diagnose conditions within minutes. Similarly, IDEXX Laboratories and Mars Petcare’s ANTECH are integrating AI into imaging and pathology platforms to enhance diagnostic precision and operational efficiency across veterinary networks.
Beyond diagnostics, AI is expanding into preventive care, disease prediction, and personalized treatment planning. Wearable devices and remote monitoring systems, such as those developed by Whistle Health and PetPace, use AI algorithms to track vital signs, detect behavioral changes, and alert owners or veterinarians to potential health issues in real time. These innovations address the nationwide shortage of veterinary professionals by improving workflow automation and enabling data-driven care.
Strategic partnerships and technological convergence further support the market's growth. For instance, Covetrus Pulse integrates seamlessly with Zoetis Diagnostics, linking AI-powered tools such as Imagyst to cloud-based management systems for faster data sharing, billing accuracy, and improved patient outcomes. With continued advances in machine learning, connectivity, and cloud infrastructure, AI is poised to redefine animal healthcare delivery in the U.S., making diagnostics more accessible, efficient, and proactive across both companion and production animal sectors.
AI In U.S. Animal Health Market Report Segmentation
This report forecasts revenue growth at U.S. and provides an analysis of the latest industry trends in each of the sub-segments from 2021 to 2033. For this study, the analyst has segmented the AI in U.S. animal health market report based on solution, animal type, and application:Solution Outlook (Revenue, USD Million, 2021-2033)
- Hardware
- Software & Services
Application Outlook (Revenue, USD Million, 2021-2033)
- Diagnostics
- Identification, Tracking, and Monitoring
- Others
Animal Type Outlook (Revenue, USD Million, 2021-2033)
- Companion Animals
- Production Animals
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- Comprehensive Market Analysis: Gain detailed insights into the market across major regions and segments.
- Competitive Landscape: Explore the market presence of key players.
- Future Trends: Discover the pivotal trends and drivers shaping the future of the market.
- Actionable Recommendations: Utilize insights to uncover new revenue streams and guide strategic business decisions.
This report addresses:
- Market intelligence to enable effective decision-making
- Market estimates and forecasts from 2018 to 2030
- Growth opportunities and trend analyses
- Segment and regional revenue forecasts for market assessment
- Competition strategy and market share analysis
- Product innovation listings for you to stay ahead of the curve
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Table of Contents
Chapter 1. Methodology and Scope
Chapter 2. Executive Summary
Chapter 3. Artificial Intelligence (AI) in U.S. Animal Health Market Variables, Trends, & Scope
Chapter 4. Artificial Intelligence (AI) in U.S. Animal Health Market: Solutions Estimates & Trend Analysis
Chapter 5. Artificial Intelligence (AI) in U.S. Animal Health Market: Application Estimates & Trend Analysis
Chapter 6. Artificial Intelligence (AI) in U.S. Animal Health Market: Animal Type Estimates & Trend Analysis
Chapter 7. Competitive Landscape
List of Tables
List of Figures
Companies Mentioned
The key companies profiled in this AI in U.S. Animal Health market report include:- Zoetis Services LLC
- Merck & Co., Inc.
- Heska Corporation
- SignalPET
- VetCT
- Vetology LLC
- OneCup AI
- Petriage
- ImpriMed, Inc.
- IDEXX Laboratories, Inc.
