Artificial Intelligence In Animal Health Market Size, Share & Trends Analysis Report By Solution (Hardware, Software & Services), By Application (Diagnostics, Identification, Tracking & Monitoring), By Animal, By Region, And Segment Forecasts, 2025 - 2033
Description
Artificial Intelligence in Animal Health Market Summary
The global artificial intelligence in animal health market size was estimated at USD 1.57 billion in 2024 and is projected to reach USD 6.98 billion by 2033, growing at a CAGR of 18.49% from 2025 to 2033. The market growth is propelled by the rapidly rising adoption & integration of AI into multiple sectors of the veterinary industry, growing investments and collaborations in veterinary AI solutions, and the integration of AI in livestock management systems.
In recent years, artificial intelligence (AI) has significantly transformed the veterinary landscape, enhancing multiple facets such as drug and product development, diagnostics, animal tracking, health monitoring, predictive analytics, and workflow optimization. AI-driven solutions are transforming veterinary operations by improving precision, speed, and client engagement. Intelligent systems enhance clinical efficiency and decision-making, from accelerating radiology and digital pathology interpretations to enabling real-time health monitoring and data-driven predictive insights. In addition, automated record management simplifies administrative processes, along with intelligent systems powered assistants that elevate client communication. Chatbots and virtual assistants enhance client communication, while optimized marketing strategies enable the creation of personalized and targeted content. These advancements reshape how veterinary services are delivered and managed, marking a new era in veterinary medicine.
The growing integration of Artificial Intelligence (AI) into the veterinary sector is poised to transform it, particularly within veterinary pharmacology. Intelligent systems are optimizing the drug development process by accelerating drug discovery, predicting potential drug candidates, and identifying therapeutic target sites. This technology is essential in streamlining drug discovery through potential drug candidate prediction and identifying therapeutic target sites. This ultimately enables drug manufacturers to reduce development time and associated costs.
It is also helpful in optimizing treatment regimens through personalized medicine, assisting the clinician in analyzing patient data to predict drug responses and minimize side effects. The technology can also revolutionize pharmacovigilance by helping detect adverse drug reactions and monitoring drug utilization. Furthermore, it facilitates drug repurposing by identifying novel applications for existing drugs and advances predictive modeling for drug efficacy and toxicity. In conclusion, this integration promises improved animal health outcomes and well-being.
The increasing integration of AI technologies into livestock management systems to enhance animal health is driving market growth. Machine learning algorithms and predictive models enable real-time monitoring of livestock health, early disease detection, and precision feeding. For instance, in September 2025, Marubeni, in collaboration with Hutzper Inc., launched the BeecoProgram 3D Scanner, an intelligent systems-powered iOS app that estimates cattle weight with a smartphone. The app offers high-precision results and integrates with industry databases for enhanced growth tracking. Thus, farmers and producers utilize AI-driven solutions to improve herd management, minimize economic losses, and enhance biosecurity.
Moreover, significant investments, partnerships, and product launches are accelerating the adoption of AI in the animal health industry. Veterinary technology startups and key players are collaborating to develop intelligent diagnostic platforms, predictive analytics systems, and AI-based imaging tools. For instance, in October 2025, the Independent Animal Hospital Association (IAHA) partnered with ScribbleVet to provide over 650 independent veterinary hospitals with access to AI-driven technology, improving medical record efficiency and enhancing patient care. Furthermore, in June 2025, Absci and Invetx partnered to bring generative AI drug creation to animal health, focusing on developing Half-Life Extension (HLE) platforms to advance veterinary care. Governments and research institutions are also supporting the innovation of intelligent systems in animal health to enhance disease surveillance and improve regulatory efficiency. These initiatives promote technological advancement and ensure scalability and integration across veterinary practices, thereby contributing to long-term market expansion and the modernization of animal healthcare systems.
Global Artificial Intelligence in Animal Health Market Report Segmentation
This report forecasts revenue growth at the global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2021 to 2033. For this study, Grand View Research has segmented the artificial intelligence in animal health market report based on solution, application, animal, and region:
The global artificial intelligence in animal health market size was estimated at USD 1.57 billion in 2024 and is projected to reach USD 6.98 billion by 2033, growing at a CAGR of 18.49% from 2025 to 2033. The market growth is propelled by the rapidly rising adoption & integration of AI into multiple sectors of the veterinary industry, growing investments and collaborations in veterinary AI solutions, and the integration of AI in livestock management systems.
In recent years, artificial intelligence (AI) has significantly transformed the veterinary landscape, enhancing multiple facets such as drug and product development, diagnostics, animal tracking, health monitoring, predictive analytics, and workflow optimization. AI-driven solutions are transforming veterinary operations by improving precision, speed, and client engagement. Intelligent systems enhance clinical efficiency and decision-making, from accelerating radiology and digital pathology interpretations to enabling real-time health monitoring and data-driven predictive insights. In addition, automated record management simplifies administrative processes, along with intelligent systems powered assistants that elevate client communication. Chatbots and virtual assistants enhance client communication, while optimized marketing strategies enable the creation of personalized and targeted content. These advancements reshape how veterinary services are delivered and managed, marking a new era in veterinary medicine.
The growing integration of Artificial Intelligence (AI) into the veterinary sector is poised to transform it, particularly within veterinary pharmacology. Intelligent systems are optimizing the drug development process by accelerating drug discovery, predicting potential drug candidates, and identifying therapeutic target sites. This technology is essential in streamlining drug discovery through potential drug candidate prediction and identifying therapeutic target sites. This ultimately enables drug manufacturers to reduce development time and associated costs.
It is also helpful in optimizing treatment regimens through personalized medicine, assisting the clinician in analyzing patient data to predict drug responses and minimize side effects. The technology can also revolutionize pharmacovigilance by helping detect adverse drug reactions and monitoring drug utilization. Furthermore, it facilitates drug repurposing by identifying novel applications for existing drugs and advances predictive modeling for drug efficacy and toxicity. In conclusion, this integration promises improved animal health outcomes and well-being.
The increasing integration of AI technologies into livestock management systems to enhance animal health is driving market growth. Machine learning algorithms and predictive models enable real-time monitoring of livestock health, early disease detection, and precision feeding. For instance, in September 2025, Marubeni, in collaboration with Hutzper Inc., launched the BeecoProgram 3D Scanner, an intelligent systems-powered iOS app that estimates cattle weight with a smartphone. The app offers high-precision results and integrates with industry databases for enhanced growth tracking. Thus, farmers and producers utilize AI-driven solutions to improve herd management, minimize economic losses, and enhance biosecurity.
Moreover, significant investments, partnerships, and product launches are accelerating the adoption of AI in the animal health industry. Veterinary technology startups and key players are collaborating to develop intelligent diagnostic platforms, predictive analytics systems, and AI-based imaging tools. For instance, in October 2025, the Independent Animal Hospital Association (IAHA) partnered with ScribbleVet to provide over 650 independent veterinary hospitals with access to AI-driven technology, improving medical record efficiency and enhancing patient care. Furthermore, in June 2025, Absci and Invetx partnered to bring generative AI drug creation to animal health, focusing on developing Half-Life Extension (HLE) platforms to advance veterinary care. Governments and research institutions are also supporting the innovation of intelligent systems in animal health to enhance disease surveillance and improve regulatory efficiency. These initiatives promote technological advancement and ensure scalability and integration across veterinary practices, thereby contributing to long-term market expansion and the modernization of animal healthcare systems.
Global Artificial Intelligence in Animal Health Market Report Segmentation
This report forecasts revenue growth at the global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2021 to 2033. For this study, Grand View Research has segmented the artificial intelligence in animal health market report based on solution, application, animal, and region:
- Solution Outlook (Revenue, USD Million, 2021 - 2033)
- Hardware
- Software & Services
- Application Outlook (Revenue, USD Million, 2021 - 2033)
- Diagnostics
- Identification, Tracking, & Monitoring
- Others
- Animal Outlook (Revenue, USD Million, 2021 - 2033)
- Companion Animals
- Production Animals
- Regional Outlook (Revenue, USD Million, 2021 - 2033)
- North America
- U.S.
- Canada
- Mexico
- Europe
- UK
- Germany
- France
- Italy
- Spain
- Denmark
- Sweden
- Norway
- Asia Pacific
- Japan
- China
- India
- Australia
- Thailand
- South Korea
- Latin America
- Brazil
- Argentina
- Middle East & Africa
- South Africa
- UAE
- Saudi Arabia
- Kuwait
- Qatar
- Oman
Table of Contents
50 Pages
- Chapter 1. Methodology and Scope
- 1.1. Market Segmentation and Scope
- 1.2. Segment Definitions
- 1.2.1. Solution
- 1.2.2. Application
- 1.2.3. Animal
- 1.3. Research Methodology
- 1.4. Information Procurement
- 1.4.1. Purchased Database
- 1.4.2. GVR’s Internal Database
- 1.4.3. Secondary Sources
- 1.4.4. Primary Research
- 1.5. Information/Data Analysis
- 1.5.1. Data Analysis Models
- 1.6. Market Formulation & Validation
- 1.7. Model Details
- 1.7.1. Model 1: Commodity Flow Analysis
- 1.7.2. Model 2: Bottom-Up Analysis
- 1.7.3. Model 3 Volume-Pricing Analysis
- 1.8. List of Secondary Sources
- 1.9. List Of Abbreviations
- 1.10. Objectives
- Chapter 2. Executive Summary
- 2.1. Market Outlook
- 2.2. Segment Outlook
- 2.3. Competitive Insights
- Chapter 3. Market Variable Trends & Scope
- 3.1. Market Lineage Outlook
- 3.1.1. Parent Market Outlook
- 3.1.2. Ancillary/Related Market Outlook
- 3.2. Market Dynamics
- 3.2.1. Market Driver Analysis
- 3.2.1.1. Rapidly Rising Adoption & Integration of AI Into Multiple Sectors Of Veterinary Industry
- 3.2.1.2. Increasing Activities to Spread Awareness & Education Among Veterinary Professionals
- 3.2.1.3. Growing Investments and Collaborations In Veterinary AI Solutions
- 3.2.1.4. Integration Of AI In Livestock Management Systems
- 3.2.2. Market Restraint Analysis
- 3.2.2.1. Potential Risks of AI Hallucinations
- 3.2.2.2. Legal and Ethical Implications of AI usage
- 3.2.2.3. Data Availability & Privacy Concerns
- 3.2.3. Market Opportunity Analysis
- 3.2.4. Market Challenge Analysis
- 3.2.5. Technology Landscape
- 3.3. Pricing Model Analysis
- 3.4. Market Analysis Tools
- 3.4.1. Porter’s Five Forces Analysis
- 3.4.2. PESTEL by SWOT Analysis
- Chapter 4. Artificial Intelligence In Animal Health Market: By Solution Estimates & Trend Analysis
- 4.1. Artificial Intelligence In Animal Health Market, By Solution: Segment Dashboard
- 4.2. Artificial Intelligence In Animal Health Market, By Solution Movement Analysis
- 4.3. Artificial Intelligence In Animal Health Market Estimates & Forecasts, by Solution, 2021 to 2033 (USD Million)
- 4.4. Hardware
- 4.4.1. Hardware Market Estimates and Forecasts, 2021 - 2033 (USD Million)
- 4.5. Software & Services
- 4.5.1. Software & Services Market Estimates and Forecasts, 2021 - 2033 (USD Million)
- Chapter 5. Artificial Intelligence In Animal Health Market: By Application Estimates & Trend Analysis
- 5.1. Artificial Intelligence In Animal Health Market, By Application: Segment Dashboard
- 5.2. Artificial Intelligence In Animal Health Market, By Application Movement Analysis
- 5.3. Artificial Intelligence In Animal Health Market Estimates & Forecasts, by Application, 2021 to 2033 (USD Million)
- 5.4. Diagnostics
- 5.4.1. Diagnostics Market Estimates and Forecasts, 2021 - 2033 (USD Million)
- 5.5. Identification, Tracking, & Monitoring
- 5.5.1. Identification, Tracking, & Monitoring Market Estimates and Forecasts, 2021 - 2033 (USD Million)
- 5.6. Others
- 5.6.1. Others Market Estimates and Forecasts, 2021 - 2033 (USD Million)
- Chapter 6. Artificial Intelligence In Animal Health Market: By Animal Estimates & Trend Analysis
- 6.1. Artificial Intelligence In Animal Health Market, By Animal: Segment Dashboard
- 6.2. Artificial Intelligence In Animal Health Market, By Animal Movement Analysis
- 6.3. Artificial Intelligence In Animal Health Market Estimates & Forecasts, by Animal, 2021 to 2033 (USD Million)
- 6.4. Companion Animals
- 6.4.1. Companion Animals Market Estimates and Forecasts, 2021 - 2033 (USD Million)
- 6.5. Production Animals
- 6.5.1. Production Animals Market Estimates and Forecasts, 2021 - 2033 (USD Million)
- Chapter 7. Artificial Intelligence In Animal Health Market: By Regional Estimates & Trend Analysis
- 7.1. Region Market Dashboard
- 7.2. Region Market Share Analysis, 2024 & 2033
- 7.3. North America
- 7.3.1. North America Market Estimates and Forecasts, 2021 - 2033 (USD Million)
- 7.3.2. U.S
- 7.3.2.1. Key Country Dynamics
- 7.3.2.2. Competitive Scenario
- 7.3.2.3. Regulatory Framework
- 7.3.2.4. U.S. Market Estimates and Forecasts, 2021 - 2033 (USD Million)
- 7.3.3. Canada
- 7.3.3.1. Key Country Dynamics
- 7.3.3.2. Competitive Scenario
- 7.3.3.3. Regulatory Framework
- 7.3.3.4. Canada Market Estimates and Forecasts, 2021 - 2033 (USD Million)
- 7.3.4. Mexico
- 7.3.4.1. Key Country Dynamics
- 7.3.4.2. Competitive Scenario
- 7.3.4.3. Regulatory Framework
- 7.3.4.4. Mexico Market Estimates and Forecasts, 2021 - 2033 (USD Million)
- 7.4. Europe
- 7.4.1. Europe Market Estimates and Forecasts, 2021 - 2033 (USD Million)
- 7.4.2. UK
- 7.4.2.1. Key Country Dynamics
- 7.4.2.2. Competitive Scenario
- 7.4.2.3. Regulatory Framework
- 7.4.2.4. UK Market Estimates and Forecasts, 2021 - 2033 (USD Million)
- 7.4.3. Germany
- 7.4.3.1. Key Country Dynamics
- 7.4.3.2. Competitive Scenario
- 7.4.3.3. Regulatory Framework
- 7.4.3.4. Germany Market Estimates and Forecasts, 2021 - 2033 (USD Million)
- 7.4.4. France
- 7.4.4.1. Key Country Dynamics
- 7.4.4.2. Competitive Scenario
- 7.4.4.3. Regulatory Framework
- 7.4.4.4. France Market Estimates and Forecasts, 2021 - 2033 (USD Million)
- 7.4.5. Italy
- 7.4.5.1. Key Country Dynamics
- 7.4.5.2. Competitive Scenario
- 7.4.5.3. Regulatory Framework
- 7.4.5.4. Italy Market Estimates and Forecasts, 2021 - 2033 (USD Million)
- 7.4.6. Spain
- 7.4.6.1. Key Country Dynamics
- 7.4.6.2. Competitive Scenario
- 7.4.6.3. Regulatory Framework
- 7.4.6.4. Spain Market Estimates and Forecasts, 2021 - 2033 (USD Million)
- 7.4.7. Denmark
- 7.4.7.1. Key Country Dynamics
- 7.4.7.2. Competitive Scenario
- 7.4.7.3. Regulatory Framework
- 7.4.7.4. Denmark Market Estimates and Forecasts, 2021 - 2033 (USD Million)
- 7.4.8. Sweden
- 7.4.8.1. Key Country Dynamics
- 7.4.8.2. Competitive Scenario
- 7.4.8.3. Regulatory Framework
- 7.4.8.4. Sweden Market Estimates and Forecasts, 2021 - 2033 (USD Million)
- 7.4.9. Norway
- 7.4.9.1. Key Country Dynamics
- 7.4.9.2. Competitive Scenario
- 7.4.9.3. Regulatory Framework
- 7.4.9.4. Norway Market Estimates and Forecasts, 2021 - 2033 (USD Million)
- 7.5. Asia Pacific
- 7.5.1. Asia Pacific Market Estimates and Forecasts, 2021 - 2033 (USD Million)
- 7.5.2. Japan
- 7.5.2.1. Key Country Dynamics
- 7.5.2.2. Competitive Scenario
- 7.5.2.3. Regulatory Framework
- 7.5.2.4. Japan Market Estimates and Forecasts, 2021 - 2033 (USD Million)
- 7.5.3. China
- 7.5.3.1. Key Country Dynamics
- 7.5.3.2. Competitive Scenario
- 7.5.3.3. Regulatory Framework
- 7.5.3.4. China Market Estimates and Forecasts, 2021 - 2033 (USD Million)
- 7.5.4. India
- 7.5.4.1. Key Country Dynamics
- 7.5.4.2. Competitive Scenario
- 7.5.4.3. Regulatory Framework
- 7.5.4.4. India Market Estimates and Forecasts, 2021 - 2033 (USD Million)
- 7.5.5. Australia
- 7.5.5.1. Key Country Dynamics
- 7.5.5.2. Competitive Scenario
- 7.5.5.3. Regulatory Framework
- 7.5.5.4. Australia Market Estimates and Forecasts, 2021 - 2033 (USD Million)
- 7.5.6. Thailand
- 7.5.6.1. Key Country Dynamics
- 7.5.6.2. Competitive Scenario
- 7.5.6.3. Regulatory Framework
- 7.5.6.4. Thailand Market Estimates and Forecasts, 2021 - 2033 (USD Million)
- 7.5.7. South Korea
- 7.5.7.1. Key Country Dynamics
- 7.5.7.2. Competitive Scenario
- 7.5.7.3. Regulatory Framework
- 7.5.7.4. South Korea Market Estimates and Forecasts, 2021 - 2033 (USD Million)
- 7.6. Latin America
- 7.6.1. Latin America Market Estimates and Forecasts, 2021 - 2033 (USD Million)
- 7.6.2. Brazil
- 7.6.2.1. Key Country Dynamics
- 7.6.2.2. Competitive Scenario
- 7.6.2.3. Regulatory Framework
- 7.6.2.4. Brazil Market Estimates and Forecasts, 2021 - 2033 (USD Million)
- 7.6.3. Argentina
- 7.6.3.1. Key Country Dynamics
- 7.6.3.2. Competitive Scenario
- 7.6.3.3. Regulatory Framework
- 7.6.3.4. Argentina Market Estimates and Forecasts, 2021 - 2033 (USD Million)
- 7.7. MEA
- 7.7.1. MEA Market Estimates and Forecasts, 2021 - 2033 (USD Million)
- 7.7.2. South Africa
- 7.7.2.1. Key Country Dynamics
- 7.7.2.2. Competitive Scenario
- 7.7.2.3. Regulatory Framework
- 7.7.2.4. South Africa Market Estimates and Forecasts, 2021 - 2033 (USD Million)
- 7.7.3. UAE
- 7.7.3.1. Key Country Dynamics
- 7.7.3.2. Competitive Scenario
- 7.7.3.3. Regulatory Framework
- 7.7.3.4. UAE Market Estimates and Forecasts, 2021 - 2033 (USD Million)
- 7.7.4. Saudi Arabia
- 7.7.4.1. Key Country Dynamics
- 7.7.4.2. Competitive Scenario
- 7.7.4.3. Regulatory Framework
- 7.7.4.4. Saudi Arabia Market Estimates and Forecasts, 2021 - 2033 (USD Million)
- 7.7.5. Kuwait
- 7.7.5.1. Key Country Dynamics
- 7.7.5.2. Competitive Scenario
- 7.7.5.3. Regulatory Framework
- 7.7.5.4. Kuwait Market Estimates and Forecasts, 2021 - 2033 (USD Million)
- 7.7.6. Qatar
- 7.7.6.1. Key Country Dynamics
- 7.7.6.2. Competitive Scenario
- 7.7.6.3. Regulatory Framework
- 7.7.6.4. Qatar Market Estimates and Forecasts, 2021 - 2033 (USD Million)
- 7.7.7. Oman
- 7.7.7.1. Key Country Dynamics
- 7.7.7.2. Competitive Scenario
- 7.7.7.3. Regulatory Framework
- 7.7.7.4. Oman Market Estimates and Forecasts, 2021 - 2033 (USD Million)
- Chapter 8. Competitive Landscape
- 8.1. Market Participant Categorization
- 8.1.1. Market Leaders
- 8.1.2. Emerging Players
- 8.2. Market Share/Assessment Analysis, 2024 (Heat Map Analysis)
- 8.3. Company Profiles
- 8.3.1. Zoetis
- 8.3.1.1. Participant’s Overview
- 8.3.1.2. Financial Performance
- 8.3.1.3. Product/Service Benchmarking
- 8.3.1.4. Strategic Initiatives
- 8.3.2. Idexx Laboratories
- 8.3.2.1. Participant’s Overview
- 8.3.2.2. Financial Performance
- 8.3.2.3. Product/Service Benchmarking
- 8.3.2.4. Strategic Initiatives
- 8.3.3. Covetrus
- 8.3.3.1. Participant’s Overview
- 8.3.3.2. Financial Performance
- 8.3.3.3. Product/Service Benchmarking
- 8.3.3.4. Strategic Initiatives
- 8.3.4. Merck & Co., Inc.
- 8.3.4.1. Participant’s Overview
- 8.3.4.2. Financial Performance
- 8.3.4.3. Product/Service Benchmarking
- 8.3.4.4. Strategic Initiatives
- 8.3.5. Mars Inc.
- 8.3.5.1. Participant’s Overview
- 8.3.5.2. Financial Performance
- 8.3.5.3. Product/Service Benchmarking
- 8.3.5.4. Strategic Initiatives
- 8.3.6. ImpriMed, Inc.
- 8.3.6.1. Participant’s Overview
- 8.3.6.2. Financial Performance
- 8.3.6.3. Product/Service Benchmarking
- 8.3.6.4. Strategic Initiatives
- 8.3.7. Vetology Llc.
- 8.3.7.1. Participant’s Overview
- 8.3.7.2. Financial Performance
- 8.3.7.3. Product/Service Benchmarking
- 8.3.7.4. Strategic Initiatives
- 8.3.8. Petriage
- 8.3.8.1. Participant’s Overview
- 8.3.8.2. Financial Performance
- 8.3.8.3. Product/Service Benchmarking
- 8.3.8.4. Strategic Initiatives
- 8.3.9. AI Superior GmbH
- 8.3.9.1. Participant’s Overview
- 8.3.9.2. Financial Performance
- 8.3.9.3. Product/Service Benchmarking
- 8.3.9.4. Strategic Initiatives
- 8.3.10. LifeLearn Inc.
- 8.3.10.1. Participant’s Overview
- 8.3.10.2. Financial Performance
- 8.3.10.3. Product/Service Benchmarking
- 8.3.10.4. Strategic Initiatives
Pricing
Currency Rates
Questions or Comments?
Our team has the ability to search within reports to verify it suits your needs. We can also help maximize your budget by finding sections of reports you can purchase.