Download free PDF

Artificial Intelligence (AI) in Animal Health Market Size & Share 2024 to 2032

Market Size by Solution (Hardware, Software, Service) Application (Diagnostics, Identification, Tracking, and Monitoring), Animal Type (Companion, Livestock), End Use.

Report ID: GMI9888
   |
Published Date: June 2024
 | 
Report Format: PDF

Download Free PDF

AI in Animal Health Market Size

AI in Animal Health Market was valued at USD 1.2 billion in 2023 and is anticipated to witness over 18.4% CAGR over the analysis period (2024-2032).

Artificial Intelligence (AI) in Animal Health Market Key Takeaways

Market Size & Growth

  • 2023 Market Size: USD 1.2 Billion
  • 2032 Forecast Market Size: USD 5.5 Billion
  • CAGR (2024–2032): 18.4%

Key Market Drivers

  • Rising pet ownership and expenditure.
  • Advancements in AI technology.
  • Increased focus on animal disease prevention.
  • Development of smart devices and wearables.

Challenges

  • High cost of implementation.
  • Data privacy and security concerns.

High market growth can be attributed to advancements in machine learning and data analytics that are enhancing diagnostic accuracy and treatment efficacy, leading to improved health outcomes for animals. Further, growing awareness and adoption of AI-driven wearable devices and sensors for continuous health tracking are also contributing to market expansion. Moreover, increasing investments in AI research and development by key market players and the supportive regulatory framework are accelerating innovation and deployment of AI solutions in animal healthcare, thereby propelling the overall market growth.
 

Artificial Intelligence (AI) in animal health refers to the application of AI technologies and methodologies to improve the diagnosis, treatment, monitoring, and overall management of animal health. AI can help in early disease detection, predicting health outcomes, optimizing treatment plans, and enhancing the efficiency of veterinary practices. It also plays a role in managing herd health, improving livestock productivity, and ensuring animal welfare.
 

AI in Animal Health Market

AI in Animal Health Market Trends

  • Rapid advancements in AI technology enable the development of diagnostic tools that can identify diseases in their early stages, predict outbreaks, and offer personalized treatment plans.
     
  • For instance, in 2020, Zoetis launched Vetscan Imagyst, a first-of-its- kind technology with AI enabled fecal analysis, digital cytology image transfer, and AI blood smear testing.
     
  • Such AI-powered imaging and diagnostic systems enhance the accuracy of veterinary diagnostics, thereby increasing the adoption of AI in animal health.
     
  • Additionally, development of smart devices and wearables is further boosting the market growth. These advanced technologies enable real-time monitoring and data collection, enhancing the ability to track and analyze various health parameters in animals.
     
  • For instance, smart collars, tags, and other wearable devices equipped with sensors can gather vital data such as heart rate, temperature, activity levels, and location. This continuous stream of information, when analyzed using AI algorithms, allows for early detection of health issues, personalized care, and improved disease management.
     
  • Thus, the integration of AI with smart wearables not only improves animal welfare but also optimizes operational efficiencies for veterinary professionals and pet owners alike, thereby propelling the market forward.
     

AI in Animal Health Market Analysis

AI in Animal Health Market, By Solution, 2021 – 2032 (USD Million)

Based on solution, the artificial intelligence (AI) in animal health market is segmented into hardware, software, and service. The hardware segment dominated the market in 2023 and accounted for USD 768.3 million.
 

  • Increasing adoption of AI-driven devices, such as wearable sensors, imaging systems, and diagnostic equipment, has substantially contributed to this growth. These advanced hardware solutions enable real-time monitoring, precise diagnostics, and efficient treatment plans, enhancing overall animal healthcare.
     
  • Moreover, rising investment in technological advancements and the growing awareness among veterinarians and pet owners about the benefits of AI-enhanced hardware further bolster the segment's dominant position in the market.

 

AI in Animal Health Market, By Application (2023)

Based on application, the AI in animal health market is segmented into diagnostics, identification, tracking, and monitoring, and other applications. The diagnostics segment held a market share of 54.1% in 2023.
 

  • Increasing integration of AI in veterinary diagnostics and the availability of AI-powered diagnostic solutions are major factors contributing to segmental growth.
     
  • For instance, SignalRAY is a patented veterinary AI technology developed by SignalPET that uses machine learning to aid practitioners in the diagnostic process.
     
  • Such AI-driven tools enhance the accuracy and speed of diagnostic procedures, allowing for earlier detection and treatment of diseases in animals.
     
  • Furthermore, the increasing prevalence of chronic diseases in animals, along with the growing demand for precise and efficient diagnostic methods, significantly contributes to the dominance of the diagnostics segment in this market.
     

Based on animal type, the artificial intelligence (AI) in animal health market is segmented into companion animals and livestock animals. The companion animal segment is anticipated to grow at a CAGR of 18.1% between 2024 - 2032.
 

  • The rising prevalence of chronic diseases and the need for regular health check-ups in companion animals fuels the demand for advanced AI-driven solutions,
     
  • Additionally, the increasing availability of AI-based pet health solutions, growing pet expenditure, and humanization of pets are some of the key drivers contributing to the high segmental growth.
     

Based on end-use, the market is segmented into veterinary hospitals & clinics, animal farms, veterinary diagnostic laboratories, and other end-users. The veterinary hospitals & clinics segment dominated the market in 2023 and is anticipated to reach USD 2.3 billion by 2032.
 

  • Veterinary hospitals and clinics hold a significant market share in the AI in animal health market due to their pivotal role in adopting and implementing advanced diagnostic and treatment technologies.
     
  • These institutions are at the forefront of integrating AI-driven solutions to enhance diagnostic accuracy, optimize treatment plans, and improve overall patient outcomes.
     
  • Additionally, these facilities often have the resources and infrastructure necessary to support AI applications, such as electronic health records and advanced imaging equipment, further bolstering their market share.

 

North America AI in Animal Health Market, 2021 – 2032 (USD Million)

North America artificial intelligence (AI) in animal health market was valued at USD 461.2 million in 2023 and is anticipated to reach USD 2 billion by 2032.
 

  • The region benefits from advanced technological infrastructure and significant investments in AI research and development, fostering innovation and application in the veterinary sector.
     
  • Additionally, the presence of leading AI and veterinary technology companies coupled with high adoption rate of AI technologies among veterinary practices, pet owners, and livestock farmers, further enhances the regional market growth.
     

The U.S. market is anticipated to grow at a CAGR of 17.9% between 2024 - 2032.
 

  • A robust veterinary infrastructure, with numerous advanced animal healthcare facilities and a high level of pet ownership drives the demand for innovative AI solutions in the country.
     
  • Further, the U.S. is a global leader in technological innovation, fostering a conducive environment for the development and integration of AI technologies in veterinary practices.
     
  • Additionally, significant investments in research and development by both private and public sectors have accelerated the adoption of AI tools for diagnostics, treatment planning, and monitoring of animal health, thereby driving the market growth.
     

UK is anticipated to witness robust growth in the global market.
 

  • The strong presence of advanced veterinary research institutions and universities in the country, facilitates innovative AI applications in animal health.
     
  • Additionally, UK government’s support through funding and favorable policies promotes the adoption of AI technologies in veterinary practices.
     
  • Further, the increasing demand for precision animal healthcare, driven by the livestock and pet industries, boosts the market growth.
     

China artificial intelligence (AI) in animal health market is anticipated to witness lucrative growth between 2024 – 2032.
 

  • Chinese government's significant investments in AI technology and veterinary health infrastructure are creating a conducive environment for the adoption of advanced AI solutions in animal healthcare.
     
  • Furthermore, China's robust technological ecosystem, characterized by a strong presence of AI startups and collaborations between tech giants and research institutions, is accelerating the development and deployment of innovative AI applications in the veterinary field, further accelerating the market growth.
     

AI in Animal Health Market Share

The competitive landscape of the artificial intelligence (AI) in animal health market is rapidly evolving, driven by technological advancements and a growing emphasis on animal welfare and healthcare efficiency. Key players are expanding their product portfolios through strategic partnerships, collaborations, and acquisitions to enhance their market presence and cater to a wider range of animal species. Additionally, the market is witnessing the emergence of startups and research institutions entering the space with novel AI applications, further intensifying competition and fostering innovation in the field.
 

AI in Animal Health Market Companies

Prominent players operating in the artificial intelligence (AI) in animal health industry include:

  • Animals.ai
  • Heska Corporation
  • IDEXX Laboratories, Inc.
  • ImpriMed, Inc.
  • Merck & Co., Inc.
  • OneCup AI
  • Petriage
  • PetPace
  • SignalPET
  • VetCT
  • Vetology LLC
  • Zoetis Inc.
     

AI in Animal Health Industry News:

  • In January 2024, IDEXX launched the IDEXX inVue Dx Cellular Analyzer, a slide-free cellular analyzer that uses AI to detect common cytologic changes in blood and ear samples. This helped the company expand its product offerings.
     
  • In Appril 2022, Zoetis announced the addition of artificial intelligence (AI) blood smear testing to its multi-purpose platform, Vetscan Imagyst. This helped the company to widen the applications of its product and increase sales.
     

The AI in animal health market research report includes an in-depth coverage of the industry with estimates & forecast in terms of revenue in USD Million from 2021 - 2032 for the following segments:

Market, By Solution

  • Hardware
  • Software
  • Service

Market, By Application

  • Diagnostics
  • Identification, tracking, and monitoring
  • Other applications

Market, By Animal Type

  • Companion animals
  • Livestock animals

Market, By End-use

  • Veterinary hospitals & clinics
  • Animal farms
  • Veterinary diagnostic laboratories
  • Other end-users

The above information is provided for the following regions and countries:

  • North America
    • U.S.
    • Canada 
  • Europe
    • Germany
    • UK
    • France
    • Spain
    • Italy
    • Netherlands
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • Australia
    • South Korea
    • Rest of Asia Pacific
  • Latin America
    • Brazil
    • Mexico
    • Rest of Latin America
  • Middle East and Africa
    • South Africa
    • Saudi Arabia
    • UAE
    • Rest of Middle East and Africa

 

Authors:  Mariam Faizullabhoy, Gauri Wani

Research methodology, data sources & validation process

This report draws on a structured research process built around direct industry conversations, proprietary modelling, and rigorous cross-validation and not just desk research.

Our 6-step research process

  1. 1. Research design & analyst oversight

    At GMI, our research methodology is built on a foundation of human expertise, rigorous validation, and complete transparency. Every insight, trend analysis, and forecast in our reports is developed by experienced analysts who understand the nuances of your market.

    Our approach integrates extensive primary research through direct engagement with industry participants and experts, complemented by comprehensive secondary research from verified global sources. We apply quantified impact analysis to deliver dependable forecasts, while maintaining complete traceability from original data sources to final insights.

  2. 2. Primary research

    Primary research forms the backbone of our methodology, contributing nearly 80% to overall insights. It involves direct engagement with industry participants to ensure accuracy and depth in analysis. Our structured interview program covers regional and global markets, with inputs from C-suite executives, directors, and subject matter experts. These interactions provide strategic, operational, and technical perspectives, enabling well-rounded insights and reliable market forecasts.

  3. 3. Data mining & market analysis

    Data mining is a key part of our research process, contributing nearly 20% to the overall methodology. It involves analysing market structure, identifying industry trends, and assessing macroeconomic factors through revenue share analysis of major players. Relevant data is collected from both paid and unpaid sources to build a reliable database. This information is then integrated to support primary research and market sizing, with validation from key stakeholders such as distributors, manufacturers, and associations.

  4. 4. Market sizing

    Our market sizing is built on a bottom-up approach, starting with company revenue data gathered directly through primary interviews, alongside production volume figures from manufacturers and installation or deployment statistics. These inputs are then pieced together across regional markets to arrive at a global estimate that stays grounded in actual industry activity.

  5. 5. Forecast model & key assumptions

    Every forecast includes explicit documentation of:

    • ✓ Key growth drivers and their assumed impact

    • ✓ Restraining factors and mitigation scenarios

    • ✓ Regulatory assumptions and policy change risk

    • ✓ Technology adoption curve parameter

    • ✓ Macroeconomic assumptions (GDP growth, inflation, currency)

    • ✓ Competitive dynamics and market entry/exit expectations

  6. 6. Validation & quality assurance

    The final stages involve human validation, where domain experts manually review filtered data to identify nuances and contextual errors that automated systems might miss. This expert review adds a critical layer of quality assurance, ensuring data aligns with research objectives and domain-specific standards.

    Our triple-layer validation process ensures maximum data reliability:

    • ✓ Statistical Validation

    • ✓ Expert Validation

    • ✓ Market Reality Check

Trust & credibility

10+
Years in Service
Consistent delivery since establishment
A+
BBB Accreditation
Professional standards & satisfaction
ISO
Certified Quality
ISO 9001-2015 Certified Company
150+
Research Analysts
Across 10+ industry verticals
95%
Client Retention
5-year relationship value

Verified data sources

  • Trade publications

    Security & defense sector journals and trade press

  • Industry databases

    Proprietary and third-party market databases

  • Regulatory filings

    Government procurement records and policy documents

  • Academic research

    University studies and specialist institution reports

  • Company reports

    Annual reports, investor presentations, and filings

  • Expert interviews

    C-suite, procurement leads, and technical specialists

  • GMI archive

    13,000+ published studies across 30+ industry verticals

  • Trade data

    Import/export volumes, HS codes, and customs records

Parameters studied & evaluated

Every data point in this report is validated through primary interviews, true bottom-up modelling, and rigorous cross-checks. Read about our research process →

Frequently Asked Question(FAQ) :
What is the size of the artificial AI in animal health market?
Global artificial intelligence (AI) in animal health industry was valued at USD 1.2 billion in 2023 and is anticipated to witness 18.4% CAGR from 2024 to 2032, due to advancements in machine learning and data analytics for enhancing diagnostic accuracy and treatment efficacy.
Why is the demand for AI solutions rising for animal health?
Artificial intelligence (AI) in animal health industry from the hardware solution segment accounted for USD 768.3 million in 2023, owing to increasing adoption of AI-driven devices, such as wearable sensors, imaging systems, and diagnostic equipment.
How big is the North America AI in animal health industry?
North America market size was USD 461.2 million in 2023 and is anticipated to reach USD 2 billion by 2032, led by advanced technological infrastructure and significant investments in AI research and development .
Who are the leading players in the artificial intelligence (AI) in animal health market?
Animals.ai, Heska Corporation, IDEXX Laboratories, Inc., ImpriMed, Inc., Merck & Co., Inc., OneCup AI, Petriage, PetPace, SignalPET, VetCT, Vetology LLC, and Zoetis Inc.
Artificial Intelligence (AI) in Animal Health Market Scope
  • Artificial Intelligence (AI) in Animal Health Market Size

  • Artificial Intelligence (AI) in Animal Health Market Trends

  • Artificial Intelligence (AI) in Animal Health Market Analysis

  • Artificial Intelligence (AI) in Animal Health Market Share

Authors:  Mariam Faizullabhoy, Gauri Wani
Explore Our Licensing Options:

Starting at: $2,450

Premium Report Details:

Base Year: 2023

Companies Profiled: 12

Tables & Figures: 264

Countries Covered: 22

Pages: 152

Download Free PDF

We use cookies to enhance user experience. (Privacy Policy)