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    Artificial Intelligence Animal Health Market

    ID: MRFR/HC/29472-HCR
    128 Pages
    Kinjoll Dey
    October 2025

    Artificial Intelligence In Animal Health Market Research Report By Technology (Machine Learning, Deep Learning, Natural Language Processing, Computer Vision), By Application (Disease Diagnosis and Prognosis, Drug Discovery and Development, Livestock Management, Animal Nutrition and Health Monitoring), By Animal Type (Companion Animals (Dogs, Cats), Farm Animals (Cattle, Poultry, Swine), Aquaculture (Fish, Shrimp)), By Data Source (Electronic Health Records, Wearable Sensors, Medical Imaging, Genomic Data), By End User (Veterinary Clinics, An...

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    Artificial Intelligence Animal Health Market Summary

    The Global Artificial Intelligence In Animal Health Market is projected to grow from 1105.08 USD Billion in 2024 to 1788.12 USD Billion by 2035.

    Key Market Trends & Highlights

    Artificial Intelligence In Animal Health Key Trends and Highlights

    • The market is expected to experience a compound annual growth rate (CAGR) of 4.47% from 2025 to 2034.
    • By 2035, the market valuation is anticipated to reach 1788.1 USD Billion, indicating robust growth potential.
    • in 2024, the market is valued at 1105.08 USD Billion, reflecting a strong foundation for future expansion.
    • Growing adoption of artificial intelligence technologies due to increased demand for efficient animal health management is a major market driver.

    Market Size & Forecast

    2024 Market Size 1105.08 (USD Billion)
    2035 Market Size 1788.12 (USD Billion)
    CAGR (2025-2035) 4.47%

    Major Players

    Merck Animal Health, Zoetis, Thermo Fisher Scientific, Virbac, CVDDSM, Alltech, IDEXX Laboratories, Boehringer Ingelheim Animal Health, AB Vista, Ceva Animal Health, Elanco Animal Health, Bayer Animal Health, Neogen

    Artificial Intelligence Animal Health Market Trends

    Artificial Intelligence (AI) is rapidly transforming the animal health industry, offering significant opportunities for innovation and improved animal care. AI-powered solutions automate tasks, enhance decision-making, and provide personalized care, leading to improved animal health outcomes and reduced costs. The growing adoption of IoT devices and data analytics is fueling the adoption of AI in animal health, enabling real-time monitoring and predictive analytics. Key trends include the development of AI-powered diagnostic tools, precision livestock farming, and personalized treatment plans.

     

    The integration of artificial intelligence in animal health is poised to enhance disease diagnosis and treatment, thereby improving overall livestock productivity and welfare.

    U.S. Department of Agriculture

    Artificial Intelligence Animal Health Market Drivers

    Technological Advancements in AI

    The Global Artificial Intelligence In Animal Health Market Industry is experiencing rapid technological advancements that enhance diagnostic and treatment capabilities. Innovations in machine learning and data analytics enable veterinarians to predict disease outbreaks and improve animal welfare. For instance, AI algorithms can analyze vast datasets from veterinary practices to identify patterns in animal health, leading to timely interventions. This trend is reflected in the projected market growth, with the industry expected to reach 1105.1 USD Billion in 2024 and 1788.1 USD Billion by 2035, indicating a robust demand for AI-driven solutions.

    Market Segment Insights

    Artificial Intelligence In Animal Health Market Technology Insights

    The Artificial Intelligence In Animal Health Market is segmented by Technology into Machine Learning, Deep Learning, Natural Language Processing, and Computer Vision. Machine Learning is the most widely used technology in the Artificial Intelligence In Animal Health Market, accounting for over 40% of the market revenue in 2023. Machine learning algorithms are used to identify patterns and trends in data, which can be used to develop predictive models for disease diagnosis, treatment planning, and animal welfare monitoring.

    For instance, a machine learning algorithm can be used to analyze data from animal sensors to predict the likelihood of an animal developing a particular disease.Deep Learning is a subset of machine learning that uses artificial neural networks to learn complex patterns in data.

    Deep learning algorithms are particularly well-suited for tasks such as image recognition and natural language processing. In the Artificial Intelligence In Animal Health Market, deep learning is used for applications such as disease diagnosis from medical images and automated analysis of veterinary records. The Artificial Intelligence In Animal Health Market revenue for Deep Learning segment is projected to reach USD 250.0 billion by 2032, exhibiting a CAGR of 5.2% during the forecast period.Natural Language Processing (NLP) is a field of artificial intelligence that deals with the interaction between computers and human (natural) languages.

    Artificial Intelligence In Animal Health Market Application Insights

    The Artificial Intelligence In Animal Health Market is segmented by Application into Disease Diagnosis and Prognosis, Drug Discovery and Development, Livestock Management, Animal Nutrition and Health Monitoring. The Disease Diagnosis and Prognosis segment held the largest market share in 2023, and it is expected to continue to dominate the market during the forecast period. This growth is attributed to the increasing use of AI in the diagnosis and prognosis of animal diseases.

    The Drug Discovery and Development segment is expected to grow at the highest CAGR during the forecast period.This growth is attributed to the increasing use of AI in the development of new drugs and vaccines for animals.

    The Livestock Management segment is expected to account for a significant share of the market by 2032. This growth is attributed to the increasing use of AI in the management of livestock, including feeding, breeding, and health monitoring. The Animal Nutrition and Health Monitoring segment is expected to grow at a steady pace during the forecast period.

    Artificial Intelligence In Animal Health Market Animal Type Insights

    The Artificial Intelligence In Animal Health Market is segmented by Animal Type into Companion Animals (Dogs, Cats), Farm Animals (Cattle, Poultry, Swine), and Aquaculture (Fish, Shrimp). The Companion Animals segment held the largest market share in 2023, accounting for over 50% of the Artificial Intelligence In Animal Health Market revenue.

    The Farm Animals segment is expected to grow at the highest CAGR during the forecast period, driven by the increasing adoption of AI-powered solutions for disease diagnosis, precision feeding, and livestock management.The Aquaculture segment is also expected to witness significant growth, as AI-powered solutions can help improve fish health, optimize feeding strategies, and reduce environmental impact.

    Artificial Intelligence In Animal Health Market Data Source Insights

    Electronic Health Records (EHRs) are increasingly being adopted in veterinary clinics, providing a centralized repository for patient data. Wearable sensors, such as GPS trackers and activity monitors, are also gaining popularity, allowing veterinarians to remotely monitor animal health and behavior. Medical imaging, including X-rays, ultrasounds, and MRI scans, plays a crucial role in diagnosing and treating animal diseases.

    Genomic data is also becoming increasingly important in animal health, as it can be used to identify genetic predispositions to diseases and develop personalized treatment plans.Increasing adoption of AI-powered solutions in animal health is driven by factors such as rising pet ownership, growing awareness about animal welfare, and advancements in technology.

    Artificial Intelligence In Animal Health Market End User Insights

    The Artificial Intelligence In Animal Health Market segmentation by End User includes Veterinary Clinics, Animal Health Companies, Farmers and Livestock Owners, and Research Institutions. Veterinary Clinics are expected to hold the largest market share due to the increasing adoption of AI-powered diagnostic tools and treatment planning systems. Animal Health Companies are also investing heavily in AI to develop new drugs and vaccines. Farmers and Livestock Owners are increasingly using AI to improve animal breeding and management practices.Research Institutions are also playing a key role in the development of AI-based solutions for animal health.

    Get more detailed insights about Artificial Intelligence In Animal Health Market Research Report — Global Forecast till 2034

    Regional Insights

    The Artificial Intelligence In Animal Health Market is segmented into North America, Europe, APAC, South America, and MEA. North America held the largest market share in 2023 and is expected to continue its dominance throughout the forecast period. The region's large and well-established animal health industry, coupled with the presence of major AI technology providers, drives growth.

    Europe ranks second in terms of market share, driven by increasing adoption of precision livestock farming practices and government support for AI research.APAC is expected to witness the fastest growth over the forecast period, owing to rising awareness about animal welfare and increasing demand for animal protein. The region's rapidly growing livestock population and the presence of emerging economies like China and India present significant growth opportunities. South America and MEA are expected to experience steady growth, supported by increasing livestock production and government initiatives to modernize the animal health sector.

    Artificial Intelligence In Animal Health Market By Regional

    Source: Primary Research, Secondary Research, Market Research Future Database and Analyst Review

    Key Players and Competitive Insights

    Major players in Artificial Intelligence In Animal Health Market industry are actively engaging in strategic partnerships, collaborations, and acquisitions to expand their global presence and strengthen their product portfolios. Leading Artificial Intelligence In Animal Health Market players are investing heavily in research and development to introduce innovative solutions and cater to the evolving needs of the market. The Artificial Intelligence In Animal Health Market is highly competitive, with a significant number of established players and emerging startups vying for market share.

    Key strategies adopted by major players include product innovation, geographical expansion, and strategic partnerships to gain a competitive edge.One of the leading companies in the Artificial Intelligence In Animal Health Market is Zoetis.

    The company offers a comprehensive range of animal health products and services, including vaccines, medicines, and diagnostic tools. Zoetis has a strong global presence and a wide distribution network, which enables it to reach a large customer base. The company is also actively involved in research and development to develop new and innovative products. For instance, Zoetis recently launched a new vaccine for the prevention of bovine respiratory disease, which is a major cause of economic losses in the cattle industry.A prominent competitor in the Artificial Intelligence In Animal Health Market is Merck Animal Health.

    The company offers a wide range of products and services for animal health, including vaccines, medicines, and diagnostics.

    Merck Animal Health has a strong focus on research and development, and it has a number of promising products in its pipeline. The company is also expanding its global presence through strategic partnerships and acquisitions. For example, Merck Animal Health recently acquired Intervet, a leading animal health company. The acquisition has strengthened Merck Animal Health's position in the global animal health market and has given it access to a wider range of products and technologies.

    Key Companies in the Artificial Intelligence Animal Health Market market include

    Industry Developments

    • Q2 2025: The Evolution of AI in Animal Health for Veterinarians Covetrus, in collaboration with Zoetis Diagnostics, announced the development of integrated veterinary systems that combine advanced AI-powered testing with practice management tools, aiming to improve efficiency in veterinary clinics and hospitals.

    Future Outlook

    Artificial Intelligence Animal Health Market Future Outlook

    The Artificial Intelligence in Animal Health Market is projected to grow at a 4.47% CAGR from 2024 to 2034, driven by advancements in veterinary diagnostics, predictive analytics, and enhanced animal welfare initiatives.

    New opportunities lie in:

    • Develop AI-driven diagnostic tools for early disease detection in livestock. Implement machine learning algorithms for optimizing veterinary care and treatment plans. Create platforms for real-time health monitoring of pets using AI technologies.

    By 2035, the market is expected to be robust, reflecting substantial advancements in AI applications within animal health.

    Market Segmentation

    Artificial Intelligence In Animal Health Market End User Outlook

    • Veterinary Clinics
    • Animal Health Companies
    • Farmers and Livestock Owners
    • Research Institutions

    Artificial Intelligence In Animal Health Market Regional Outlook

    • North America
    • Europe
    • South America
    • Asia Pacific
    • Middle East and Africa

    Artificial Intelligence In Animal Health Market Technology Outlook

    • Machine Learning
    • Deep Learning
    • Natural Language Processing
    • Computer Vision

    Artificial Intelligence In Animal Health Market Animal Type Outlook

    • Companion Animals (Dogs
    • Cats)
    • Farm Animals (Cattle
    • Poultry
    • Swine)
    • Aquaculture (Fish
    • Shrimp)

    Artificial Intelligence In Animal Health Market Application Outlook

    • Disease Diagnosis and Prognosis
    • Drug Discovery and Development
    • Livestock Management
    • Animal Nutrition and Health Monitoring

    Artificial Intelligence In Animal Health Market Data Source Outlook

    • Electronic Health Records
    • Wearable Sensors
    • Medical Imaging
    • Genomic Data

    Report Scope

    Report Attribute/MetricDetails
    Market Size 20241,105.08 (USD Billion)
    Market Size 20251,154.50 (USD Billion)
    Market Size 20351788.12 (USD Billion)
    Compound Annual Growth Rate (CAGR)4.47% (2025 - 2035)
    Report CoverageRevenue Forecast, Competitive Landscape, Growth Factors, and Trends
    Base Year2024
    Market Forecast Period2025 - 2035
    Historical Data2020 - 2024
    Market Forecast UnitsUSD Billion
    Key Companies ProfiledMerck Animal Health, Zoetis, Thermo Fisher Scientific, Virbac, CVD, DSM, Alltech, IDEXX Laboratories, Boehringer Ingelheim Animal Health, AB Vista, Ceva Animal Health, Elanco Animal Health, Bayer Animal Health, Neogen
    Segments CoveredTechnology, Application, Animal Type, Data Source, End User, Regional
    Key Market OpportunitiesPredictive analytics Precision livestock farming Disease diagnostics Drug discovery Personalized pet care
    Key Market DynamicsIncreasing pet ownership Advancements in AI technology Growing demand for precision farming Rising concerns about animal welfare Government initiatives and funding
    Countries CoveredNorth America, Europe, APAC, South America, MEA

    FAQs

    What is the expected market size of the Global Artificial Intelligence (AI) in Animal Health Market in 2023?

    The Artificial Intelligence In Animal Health Market is anticipated to reach a valuation of 1012.48 Billion USD in 2023.

    What is the projected CAGR of the Global AI in Animal Health Market from 2025 to 2034?

    The Global AI in Animal Health Market is projected to expand at a CAGR of 4.47% from 2025 to 2034.

    Which region is expected to dominate the Global AI in Animal Health Market in 2023?

    North America is expected to dominate the Global AI in Animal Health Market in 2023.

    What are some of the key applications of AI in animal health?

    Key applications of AI in animal health include disease diagnosis, precision livestock farming, and drug discovery.

    Who are some of the major competitors in the Global AI in Animal Health Market?

    Major competitors in the Global AI in Animal Health Market include IBM, Google, Microsoft, and Bayer.

    What are the major factors driving the growth of the Global AI in Animal Health Market?

    Factors driving the market's growth include increasing demand for animal protein, rising prevalence of animal diseases, and government initiatives to promote animal health.

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