동물 의료용 인공지능(AI) 시장 규모, 점유율 및 동향 분석 보고서 : 솔루션별, 용도별, 대상 동물별, 최종 용도별, 지역별 및 부문별 예측(2026-2033년)

Artificial Intelligence In Animal Health Market Summary

The global artificial intelligence in animal health market size was estimated at USD 1.8 billion in 2025 and is projected to reach USD 7.0 billion by 2033, growing at a CAGR of 18.9% from 2026 to 2033. The market growth is propelled by rapidly rising adoption & integration of AI across multiple sectors of the veterinary industry, increased efforts to raise awareness & education among veterinary professionals, growing investments and collaborations in veterinary AI solutions, and the integration of AI into livestock management systems.

In recent years, artificial intelligence (AI) has significantly transformed the veterinary landscape, enhancing multiple facets, including drug and product development, diagnostics, animal tracking, health monitoring, predictive analytics, and workflow optimization. AI-driven solutions are improving precision, speed, and client engagement across veterinary operations. Intelligent systems enhance clinical efficiency by accelerating radiology and digital pathology interpretations, enabling real-time health monitoring and data-driven predictive insights. Furthermore, automated record management simplifies administrative processes, while AI-powered assistants and chatbots elevate client communication and enable targeted content creation, reshaping how veterinary services are delivered and managed.

The growing integration of AI into veterinary pharmacology is optimizing the drug development process by accelerating drug discovery, predicting potential drug candidates, and identifying therapeutic targets, ultimately reducing development time and associated costs. The technology further supports medication adherence, personalized treatment regimens, pharmacovigilance, detection of adverse drug reactions, drug repurposing, and predictive modeling of drug efficacy and toxicity. For instance, in January 2026, Mixlab announced the launch of Maisy, an AI health partner integrated into its eMix platform to facilitate medication compliance, surface relevant prescribing options, and reduce administrative friction across the pharmacy experience. By 2025, Mixlab had partnered with over 30,000 prescribers and supported the care of over 140,000 animals, representing close to 75% growth, signaling sustained demand for AI-driven pharmacy solutions in the veterinary sector.

Moreover, rising integration of AI into livestock management systems is also boosting market growth, with machine learning and predictive models enabling real-time health monitoring, early disease detection, and precision feeding. AI-powered smartphone-based solutions for livestock weight estimation and growth tracking have further demonstrated the expanding role of intelligent systems in production animal management. For instance, in February 2026, Ever.Ag launched Feedlot IQ, a fully integrated AI-powered feedlot management system developed in collaboration with Production Animal Consultation (PAC), consolidating health, feed, performance, weather, and financial data into a unified operational view built on over 15 years of real-world feedlot data. Additionally, Gau Swastha, India's first image-based cattle health AI platform, combines computer vision, vision-language models, and large language models to deliver health assessments in under 30 seconds from a single photograph. Validated across 7,000 cattle and active in 26 Karnataka government polyclinics, the platform has benefited over 50,000 farmers across 11 regional languages, addressing structural affordability constraints of hardware-dependent livestock AI 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, animal, application, end use, and region:

• Solution Outlook (Revenue, USD Million, 2021 - 2033)
• Hardware
• Software & Services
• Animal Outlook (Revenue, USD Million, 2021 - 2033)
• Companion Animals
• Production Animals
• Application Outlook (Revenue, USD Million, 2021 - 2033)
• Diagnostics
• Identification, Tracking, & Monitoring
• Others
• End Use Outlook (Revenue, USD Million, 2021 - 2033)
• Veterinary Pharmaceutical & MedTech Companies
• Veterinary Service Providers
• Animal Owners
• Others
• 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

Chapter 1. Methodology and Scope

• 1.1. Market Segmentation and Scope
• 1.2. Segment Definitions
  • 1.2.1. Solution
  • 1.2.2. Animal
  • 1.2.3. Application
  • 1.2.4. End Use
• 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
• 3.3. Technology Landscape
• 3.4. Pricing Analysis
• 3.5. Market Analysis Tools
  • 3.5.1. Porter's Five Forces Analysis
  • 3.5.2. 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 Animal Estimates & Trend Analysis

• 5.1. Artificial Intelligence In Animal Health Market, By Animal: Segment Dashboard
• 5.2. Artificial Intelligence In Animal Health Market, By Animal Movement Analysis
• 5.3. Artificial Intelligence In Animal Health Market Estimates & Forecasts, by Animal, 2021 to 2033 (USD Million)
• 5.4. Companion Animals
  • 5.4.1. Companion Animals Market Estimates and Forecasts, 2021 - 2033 (USD Million)
• 5.5. Production Animals
  • 5.5.1. Production Animals Market Estimates and Forecasts, 2021 - 2033 (USD Million)

Chapter 6. Artificial Intelligence In Animal Health Market: By Application Estimates & Trend Analysis

• 6.1. Artificial Intelligence In Animal Health Market, By Application: Segment Dashboard
• 6.2. Artificial Intelligence In Animal Health Market, By Application Movement Analysis
• 6.3. Artificial Intelligence In Animal Health Market Estimates & Forecasts, by Application, 2021 to 2033 (USD Million)
• 6.4. Diagnostics
  • 6.4.1. Diagnostics Market Estimates and Forecasts, 2021 - 2033 (USD Million)
• 6.5. Identification, Tracking, & Monitoring
  • 6.5.1. Identification, Tracking, & Monitoring Market Estimates and Forecasts, 2021 - 2033 (USD Million)
• 6.6. Others
  • 6.6.1. Others Market Estimates and Forecasts, 2021 - 2033 (USD Million)

Chapter 7. Artificial Intelligence In Animal Health Market: By End Use Estimates & Trend Analysis

• 7.1. Artificial Intelligence In Animal Health Market, By End Use: Segment Dashboard
• 7.2. Artificial Intelligence In Animal Health Market, By End Use Movement Analysis
• 7.3. Artificial Intelligence In Animal Health Market Estimates & Forecasts, by End Use, 2021 to 2033 (USD Million)
• 7.4. Veterinary Pharmaceutical & MedTech Companies
  • 7.4.1. Veterinary Pharmaceutical & MedTech Companies Market Estimates and Forecasts, 2021 - 2033 (USD Million)
• 7.5. Veterinary Service Providers
  • 7.5.1. Veterinary Service Providers Market Estimates and Forecasts, 2021 - 2033 (USD Million)
• 7.6. Animal Owners
  • 7.6.1. Animal Owners Market Estimates and Forecasts, 2021 - 2033 (USD Million)
• 7.7. Others
  • 7.7.1. Others Market Estimates and Forecasts, 2021 - 2033 (USD Million)

Chapter 8. Artificial Intelligence In Animal Health Market: By Regional Estimates & Trend Analysis

• 8.1. Region Market Dashboard
• 8.2. Region Market Share Analysis, 2026 & 2033
• 8.3. North America
  • 8.3.1. North America Market Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 8.3.2. U.S
    • 8.3.2.1. Key Country Dynamics
    • 8.3.2.2. Competitive Scenario
    • 8.3.2.3. Regulatory Framework
    • 8.3.2.4. U.S. Market Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 8.3.3. Canada
    • 8.3.3.1. Key Country Dynamics
    • 8.3.3.2. Competitive Scenario
    • 8.3.3.3. Regulatory Framework
    • 8.3.3.4. Canada Market Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 8.3.4. Mexico
    • 8.3.4.1. Key Country Dynamics
    • 8.3.4.2. Competitive Scenario
    • 8.3.4.3. Regulatory Framework
    • 8.3.4.4. Mexico Market Estimates and Forecasts, 2021 - 2033 (USD Million)
• 8.4. Europe
  • 8.4.1. Europe Market Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 8.4.2. UK
    • 8.4.2.1. Key Country Dynamics
    • 8.4.2.2. Competitive Scenario
    • 8.4.2.3. Regulatory Framework
    • 8.4.2.4. UK Market Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 8.4.3. Germany
    • 8.4.3.1. Key Country Dynamics
    • 8.4.3.2. Competitive Scenario
    • 8.4.3.3. Regulatory Framework
    • 8.4.3.4. Germany Market Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 8.4.4. France
    • 8.4.4.1. Key Country Dynamics
    • 8.4.4.2. Competitive Scenario
    • 8.4.4.3. Regulatory Framework
    • 8.4.4.4. France Market Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 8.4.5. Italy
    • 8.4.5.1. Key Country Dynamics
    • 8.4.5.2. Competitive Scenario
    • 8.4.5.3. Regulatory Framework
    • 8.4.5.4. Italy Market Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 8.4.6. Spain
    • 8.4.6.1. Key Country Dynamics
    • 8.4.6.2. Competitive Scenario
    • 8.4.6.3. Regulatory Framework
    • 8.4.6.4. Spain Market Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 8.4.7. Denmark
    • 8.4.7.1. Key Country Dynamics
    • 8.4.7.2. Competitive Scenario
    • 8.4.7.3. Regulatory Framework
    • 8.4.7.4. Denmark Market Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 8.4.8. Sweden
    • 8.4.8.1. Key Country Dynamics
    • 8.4.8.2. Competitive Scenario
    • 8.4.8.3. Regulatory Framework
    • 8.4.8.4. Sweden Market Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 8.4.9. Norway
    • 8.4.9.1. Key Country Dynamics
    • 8.4.9.2. Competitive Scenario
    • 8.4.9.3. Regulatory Framework
    • 8.4.9.4. Norway Market Estimates and Forecasts, 2021 - 2033 (USD Million)
• 8.5. Asia Pacific
  • 8.5.1. Asia Pacific Market Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 8.5.2. Japan
    • 8.5.2.1. Key Country Dynamics
    • 8.5.2.2. Competitive Scenario
    • 8.5.2.3. Regulatory Framework
    • 8.5.2.4. Japan Market Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 8.5.3. China
    • 8.5.3.1. Key Country Dynamics
    • 8.5.3.2. Competitive Scenario
    • 8.5.3.3. Regulatory Framework
    • 8.5.3.4. China Market Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 8.5.4. India
    • 8.5.4.1. Key Country Dynamics
    • 8.5.4.2. Competitive Scenario
    • 8.5.4.3. Regulatory Framework
    • 8.5.4.4. India Market Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 8.5.5. Australia
    • 8.5.5.1. Key Country Dynamics
    • 8.5.5.2. Competitive Scenario
    • 8.5.5.3. Regulatory Framework
    • 8.5.5.4. Australia Market Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 8.5.6. Thailand
    • 8.5.6.1. Key Country Dynamics
    • 8.5.6.2. Competitive Scenario
    • 8.5.6.3. Regulatory Framework
    • 8.5.6.4. Thailand Market Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 8.5.7. South Korea
    • 8.5.7.1. Key Country Dynamics
    • 8.5.7.2. Competitive Scenario
    • 8.5.7.3. Regulatory Framework
    • 8.5.7.4. South Korea Market Estimates and Forecasts, 2021 - 2033 (USD Million)
• 8.6. Latin America
  • 8.6.1. Latin America Market Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 8.6.2. Brazil
    • 8.6.2.1. Key Country Dynamics
    • 8.6.2.2. Competitive Scenario
    • 8.6.2.3. Regulatory Framework
    • 8.6.2.4. Brazil Market Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 8.6.3. Argentina
    • 8.6.3.1. Key Country Dynamics
    • 8.6.3.2. Competitive Scenario
    • 8.6.3.3. Regulatory Framework
    • 8.6.3.4. Argentina Market Estimates and Forecasts, 2021 - 2033 (USD Million)
• 8.7. MEA
  • 8.7.1. MEA Market Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 8.7.2. South Africa
    • 8.7.2.1. Key Country Dynamics
    • 8.7.2.2. Competitive Scenario
    • 8.7.2.3. Regulatory Framework
    • 8.7.2.4. South Africa Market Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 8.7.3. UAE
    • 8.7.3.1. Key Country Dynamics
    • 8.7.3.2. Competitive Scenario
    • 8.7.3.3. Regulatory Framework
    • 8.7.3.4. UAE Market Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 8.7.4. Saudi Arabia
    • 8.7.4.1. Key Country Dynamics
    • 8.7.4.2. Competitive Scenario
    • 8.7.4.3. Regulatory Framework
    • 8.7.4.4. Saudi Arabia Market Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 8.7.5. Kuwait
    • 8.7.5.1. Key Country Dynamics
    • 8.7.5.2. Competitive Scenario
    • 8.7.5.3. Regulatory Framework
    • 8.7.5.4. Kuwait Market Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 8.7.6. Qatar
    • 8.7.6.1. Key Country Dynamics
    • 8.7.6.2. Competitive Scenario
    • 8.7.6.3. Regulatory Framework
    • 8.7.6.4. Qatar Market Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 8.7.7. Oman
    • 8.7.7.1. Key Country Dynamics
    • 8.7.7.2. Competitive Scenario
    • 8.7.7.3. Regulatory Framework
    • 8.7.7.4. Oman Market Estimates and Forecasts, 2021 - 2033 (USD Million)

Chapter 9. Competitive Landscape

• 9.1. Market Participant Categorization
  • 9.1.1. Market Leaders
  • 9.1.2. Emerging Players
• 9.2. Market Share/Assessment Analysis, 2025 (Heat Map Analysis)
• 9.3. Company Profiles
  • 9.3.1. Zoetis, Inc.
    • 9.3.1.1. Participant's Overview
    • 9.3.1.2. Financial Performance
    • 9.3.1.3. Product/Service Benchmarking
    • 9.3.1.4. Strategic Initiatives
  • 9.3.2. IDEXX Laboratories, Inc.
    • 9.3.2.1. Participant's Overview
    • 9.3.2.2. Financial Performance
    • 9.3.2.3. Product/Service Benchmarking
    • 9.3.2.4. Strategic Initiatives
  • 9.3.3. Covetrus, Inc.
    • 9.3.3.1. Participant's Overview
    • 9.3.3.2. Financial Performance
    • 9.3.3.3. Product/Service Benchmarking
    • 9.3.3.4. Strategic Initiatives
  • 9.3.4. Merck & Co., Inc.
    • 9.3.4.1. Participant's Overview
    • 9.3.4.2. Financial Performance
    • 9.3.4.3. Product/Service Benchmarking
    • 9.3.4.4. Strategic Initiatives
  • 9.3.5. Mars, Inc. (Petcare)
    • 9.3.5.1. Participant's Overview
    • 9.3.5.2. Financial Performance
    • 9.3.5.3. Product/Service Benchmarking
    • 9.3.5.4. Strategic Initiatives
  • 9.3.6. ImpriMed, Inc.
    • 9.3.6.1. Participant's Overview
    • 9.3.6.2. Financial Performance
    • 9.3.6.3. Product/Service Benchmarking
    • 9.3.6.4. Strategic Initiatives
  • 9.3.7. Vetology LLC
    • 9.3.7.1. Participant's Overview
    • 9.3.7.2. Financial Performance
    • 9.3.7.3. Product/Service Benchmarking
    • 9.3.7.4. Strategic Initiatives
  • 9.3.8. Petriage
    • 9.3.8.1. Participant's Overview
    • 9.3.8.2. Financial Performance
    • 9.3.8.3. Product/Service Benchmarking
    • 9.3.8.4. Strategic Initiatives
  • 9.3.9. AI Superior GmbH
    • 9.3.9.1. Participant's Overview
    • 9.3.9.2. Financial Performance
    • 9.3.9.3. Product/Service Benchmarking
    • 9.3.9.4. Strategic Initiatives
  • 9.3.10. LifeLearn Inc
    • 9.3.10.1. Participant's Overview
    • 9.3.10.2. Financial Performance
    • 9.3.10.3. Product/Service Benchmarking
    • 9.3.10.4. Strategic Initiatives
  • 9.3.11. PetPace, LLC
    • 9.3.11.1. Participant's Overview
    • 9.3.11.2. Financial Performance
    • 9.3.11.3. Product/Service Benchmarking
    • 9.3.11.4. Strategic Initiatives
  • 9.3.12. IVC Evidensia
    • 9.3.12.1. Participant's Overview
    • 9.3.12.2. Financial Performance
    • 9.3.12.3. Product/Service Benchmarking
    • 9.3.12.4. Strategic Initiatives
  • 9.3.13. Connecterra (Datamars)
    • 9.3.13.1. Participant's Overview
    • 9.3.13.2. Financial Performance
    • 9.3.13.3. Product/Service Benchmarking
    • 9.3.13.4. Strategic Initiatives
  • 9.3.14. ScribbleVet
    • 9.3.14.1. Participant's Overview
    • 9.3.14.2. Financial Performance
    • 9.3.14.3. Product/Service Benchmarking
    • 9.3.14.4. Strategic Initiatives
  • 9.3.15. Fi
    • 9.3.15.1. Participant's Overview
    • 9.3.15.2. Financial Performance
    • 9.3.15.3. Product/Service Benchmarking
    • 9.3.15.4. Strategic Initiatives
  • 9.3.16. Heidi Health
    • 9.3.16.1. Participant's Overview
    • 9.3.16.2. Financial Performance
    • 9.3.16.3. Product/Service Benchmarking
    • 9.3.16.4. Strategic Initiatives
  • 9.3.17. FidoCure (One Health Co.)
    • 9.3.17.1. Participant's Overview
    • 9.3.17.2. Financial Performance
    • 9.3.17.3. Product/Service Benchmarking
    • 9.3.17.4. Strategic Initiatives