United States Artificial Intelligence in Animal Health Market Size, Share, and COVID-19 Impact Analysis, By Solutions (Hardware and Software & Services), By Application (Diagnostics, Identification, and Tracking & Monitoring), and by the United States Artificial Intelligence in Animal Health Market Insights Forecasts to 2033

United States Artificial Intelligence in Animal Health Market Insights Forecasts to 2033

• The United States Artificial Intelligence in Animal Health Market Size was valued at USD 423.9 Million in 2023.
• The Market Size is Growing at a CAGR of 21.67% from 2023 to 2033
• The United States Artificial Intelligence in Animal Health Market Size is Expected to Reach USD 3014.2 Million by 2033

The United States Artificial Intelligence in Animal Health Market Size is Anticipated to Exceed USD 3014.2 Million by 2033, Growing at a CAGR of 21.67% from 2023 to 2033.

Market Overview
The United States artificial intelligence (AI) in the animal health market focuses on the integration of AI-driven technologies to improve animal disease detection, diagnostics, treatment, and overall veterinary care. AI applications in this sector include predictive analytics, machine learning-based diagnostics, precision livestock farming, and automated monitoring systems. The market is expanding due to the rising demand for advanced veterinary care, increased adoption of precision farming, and growing investments in AI-driven healthcare solutions for animals. The increasing prevalence of animal diseases, coupled with the need for early and accurate diagnosis, is a key factor driving market growth. Advancements in AI-powered imaging, wearable monitoring devices, and automated data analysis enhance veterinary decision-making and treatment efficiency. The expansion of pet ownership and livestock farming further fuels the demand for AI-based health management solutions. Additionally, AI-driven predictive analytics help in disease prevention, optimizing livestock productivity, and reducing operational costs for farmers. Rising investment from tech companies and veterinary institutions accelerates innovation in AI applications for animal health. Regulatory bodies such as the US Department of Agriculture (USDA) and the Food and Drug Administration (FDA) support AI integration in animal health through research funding and policy development. Government initiatives promoting digitalization in veterinary care, precision livestock farming, and disease surveillance further drive market adoption. Compliance regulations ensuring data security and ethical AI use in veterinary applications also shape market dynamics.

Report Coverage

This research report categorizes the market for the United States artificial intelligence in animal health market based on various segments and regions forecasts revenue growth and analyzes trends in each submarket. The report analyses the key growth drivers, opportunities, and challenges influencing the United States artificial intelligence in animal health market. Recent market developments and competitive strategies such as expansion, product launch, development, partnership, merger, and acquisition have been included to draw the competitive landscape in the market. The report strategically identifies and profiles the key market players and analyzes their core competencies in each United States artificial intelligence in animal health market sub-segment.

Driving Factors

The United States artificial intelligence in the animal health market is driven by the rising prevalence of animal diseases and the growing demand for early and accurate diagnostics. AI-powered imaging, wearable monitoring devices, and predictive analytics enhance veterinary care efficiency. The expansion of pet ownership and precision livestock farming increases the demand for AI-driven health management solutions. Cost reduction in veterinary operations and improved livestock productivity further boost market adoption. Investments from tech companies and research institutions accelerate innovation. Additionally, AI applications in disease surveillance, treatment recommendations, and automated monitoring systems contribute to improved animal healthcare outcomes and overall market growth.

Restraining Factors

The United States artificial intelligence in animal health market faces challenges such as high implementation costs, limited awareness among veterinarians and farmers, and concerns over data privacy. Regulatory complexities and the need for skilled professionals further hinder the widespread adoption of AI-driven solutions.

Market Segment

The U.S. artificial intelligence in animal health market share is classified into solutions and application.

• The software & services segment is expected to hold the largest market share through the forecast period.

The US artificial intelligence in animal health market is segmented by solutions into hardware and software & services. Among these, the software & services segment is expected to hold the largest market share through the forecast period. The growing adoption of AI-powered diagnostic tools, predictive analytics, and cloud-based veterinary software drives the dominance of this segment. AI-driven platforms for disease detection, treatment recommendations, and real-time health monitoring are increasingly utilized by veterinarians and livestock farmers.

• The diagnostics segment is expected to hold the largest market share through the forecast period.

The US artificial intelligence in animal health market is segmented by application into diagnostics, identification, and tracking & monitoring. Among these, the diagnostics segment is expected to hold the largest market share through the forecast period. The increasing prevalence of animal diseases and the rising demand for early and accurate diagnosis drive the dominance of this segment. AI-powered diagnostic tools, including imaging analysis, predictive analytics, and automated laboratory testing, enhance the efficiency of veterinary care. The adoption of machine learning algorithms for disease detection and precision treatment further accelerates market growth.

Competitive Analysis:

The report offers the appropriate analysis of the key organizations/companies involved within the United States artificial intelligence in animal health market, along with a comparative evaluation primarily based on their product offering, business overviews, geographic presence, enterprise strategies, segment market share, and SWOT analysis. The report also provides an elaborative analysis focusing on the current news and developments of the companies, which includes product development, innovations, joint ventures, partnerships, mergers & acquisitions, strategic alliances, and others. This allows for the evaluation of the overall competition within the market.

List of Key Companies

• Zoetis, Inc
• Idexx Laboratories
• Covetrus
• Merck & Co., Inc.
• Mars Inc.
• ImpriMed, Inc.
• Vetology Llc.
• Petriage
• AI Superior GmbH
• LifeLearn Inc
• Others

Key Target Audience

• Market Players
• Investors
• End-users
• Government Authorities 
• Consulting and Research Firm
• Venture capitalists
• Value-Added Resellers (VARs)

Market Segment

This study forecasts regional and country revenue from 2022 to 2033. Spherical Insights has segmented the United States artificial intelligence in animal health market based on the below-mentioned segments:

United States Artificial Intelligence in Animal Health Market, By Solutions

• Hardware
• Software & Services

United States Artificial Intelligence in Animal Health Market, By Application

• Diagnostics
• Identification
• Tracking & Monitoring