Product Code: GVR-4-68040-817-5
Veterinary AI Diagnostics Market Summary
The global veterinary AI diagnostics market size was estimated at USD 652.23 million in 2024 and is projected to reach USD 2,633.8 million by 2033, growing at a CAGR of 17.2% from 2025 to 2033. The market is propelling due to factors such as rapid digital transformation of veterinary workflows, surge in animal health data & connectivity, utilization of advanced AI algorithms enabling precision diagnostics, and growing demand for early detection & preventive care in animals.
Rising clinic caseloads, staff shortages, expanding diagnostic data, faster model performance, and stronger demand for early detection are adding steady momentum to AI adoption in veterinary diagnostics. Clinics are facing heavier daily volumes and reduced specialist availability, so AI tools that speed up image review, cut repeat tests, and support routine triage are becoming part of core clinical work. Reference laboratories are managing larger sample counts each year, and AI automation is raising throughput, lowering per-test cost, and improving consistency across technicians, which drives wider acceptance in high-volume settings.
Research groups are adding further momentum by showing that practical model performance is possible even with focused datasets. A 2025 University of Edinburgh study trained algorithms on about 500 CT scans and produced stable readings, and results like this build trust among clinicians who want tools that work with real-world data rather than large experimental datasets. Farm systems are also generating pressure for adoption. Wearables, cameras, and this information into alerts that prompt earlier testing and faster intervention, which links herd surveillance continuous monitors are producing round-the-clock data on movement and feeding patterns, and AI converts directly to diagnostics.
Manufacturers are responding to these shifts by embedding AI tools inside scanners, analyzers, and cloud portals so clinicians receive processed results without extra effort. Product teams are mapping full diagnostic pathways and creating guided workflows that help users move from sample collection to interpretation in one integrated flow. Companies that package AI inside existing hardware are gaining quicker uptake among clinics that trust those devices, while cloud platforms are gaining stable subscription revenue from groups that value remote access and automatic updates. Demand is rising fastest when AI reduces reading time, raises repeatability, and sorts routine cases from complex ones, as these gains shape purchasing decisions across clinics and laboratories.
Many stakeholders are currently utilizing narrow datasets that may generalize across breeds, ages, and production systems, and overlook the variation in image quality and disease expression across populations. Others assume stable broadband and modern lab information systems everywhere, which ignores rural clinics and farms with limited connectivity. Some groups assume that AI will replace specialist judgment, but experienced clinicians note that AI acts as a support layer that highlights patterns, flags edge cases, and standardizes routine assessments while leaving complex reasoning to trained professionals.
Regulatory systems are moving slower than technical progress, and uneven rules across regions can limit scale. To capture growth, companies will need multi-site validation, simple offline modes, and partnerships with laboratories that hold deep archives of labeled data. As these steps advance, AI in veterinary diagnostics is moving from early trials into routine use, and the sector is growing where tools shorten workflows, steady interpretation quality, and turn diagnostic output into clear clinical action. The market is on the brink of transformation and organizations that align with these trends are set to shape the future of care.
Global Veterinary AI Diagnostics Market Report Segmentation
This report forecasts revenue growth at 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 global veterinary AI diagnostics 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)
- Imaging
- Pathology
- Molecular Diagnostics
- Others
- End Use Outlook (Revenue, USD Million, 2021 - 2033)
- Veterinary Clinics & Hospitals
- Veterinary Reference Laboratories
- Research & Academic Institutes
- Others
- Regional Outlook (Revenue, USD Million, 2021 - 2033)
- North America
- Europe
- UK
- Germany
- France
- Italy
- Spain
- Denmark
- Sweden
- Norway
- Asia Pacific
- Japan
- China
- India
- Australia
- Thailand
- South Korea
- Latin America
- 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. 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. Rapid Digital Transformation Of Veterinary Workflows
- 3.2.1.2. Surge In Animal Health Data & Connectivity
- 3.2.1.3. Utilization Of Advanced AI Algorithms Enabling Precision Diagnostics
- 3.2.1.4. Growing Demand For Early Detection & Preventive Care In Animals
- 3.2.2. Market Restraint Analysis
- 3.2.2.1. Fragmented Data Ecosystems & Lack Of Standardization
- 3.2.2.2. High Implementation Cost And Limited Infrastructure In Smaller Practices
- 3.2.3. Market Opportunity Analysis
- 3.2.4. Market Challenge Analysis
- 3.2.5. Technology Landscape
- 3.3. Pricing Model Analysis
- 3.4. Case Study Analysis
- 3.5. Market Analysis Tools
- 3.5.1. Porter's Five Forces Analysis
- 3.5.2. PESTEL by SWOT Analysis
Chapter 4. Veterinary AI Diagnostics Market: By Solution Estimates & Trend Analysis
- 4.1. Veterinary AI Diagnostics Market, By Solution: Segment Dashboard
- 4.2. Veterinary AI Diagnostics Market, By Solution Movement Analysis
- 4.3. Veterinary AI Diagnostics 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. Veterinary AI Diagnostics Market: By Animal Estimates & Trend Analysis
- 5.1. Veterinary AI Diagnostics Market, By Animal: Segment Dashboard
- 5.2. Veterinary AI Diagnostics Market, By Animal Movement Analysis
- 5.3. Veterinary AI Diagnostics 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. Veterinary AI Diagnostics Market: By Application Estimates & Trend Analysis
- 6.1. Veterinary AI Diagnostics Market, By Application: Segment Dashboard
- 6.2. Veterinary AI Diagnostics Market, By Application Movement Analysis
- 6.3. Veterinary AI Diagnostics Market Estimates & Forecasts, by Application, 2021 to 2033 (USD Million)
- 6.4. Imaging
- 6.4.1. Imaging Market Estimates and Forecasts, 2021 - 2033(USD Million)
- 6.5. Pathology
- 6.5.1. Pathology Market Estimates and Forecasts, 2021 - 2033(USD Million)
- 6.6. Molecular Diagnostics
- 6.6.1. Molecular Diagnostics Market Estimates and Forecasts, 2021 - 2033(USD Million)
- 6.7. Others
- 6.7.1. Others Market Estimates and Forecasts, 2021 - 2033(USD Million)
Chapter 7. Veterinary AI Diagnostics Market: By End Use Estimates & Trend Analysis
- 7.1. Veterinary AI Diagnostics Market, By End Use: Segment Dashboard
- 7.2. Veterinary AI Diagnostics Market, By End Use Movement Analysis
- 7.3. Veterinary AI Diagnostics Market Estimates & Forecasts, by End Use, 2021 to 2033 (USD Million)
- 7.4. Veterinary Clinics & Hospitals
- 7.4.1. Veterinary Clinics & Hospitals Market Estimates and Forecasts, 2021 - 2033(USD Million)
- 7.5. Veterinary Reference Laboratories
- 7.5.1. Veterinary Reference Laboratories Market Estimates and Forecasts, 2021 - 2033(USD Million)
- 7.6. Research & Academic Institutes
- 7.6.1. Research & Academic Institutes 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. Veterinary AI Diagnostics Market: By Regional Estimates & Trend Analysis
- 8.1. Region Market Dashboard
- 8.2. Region Market Share Analysis, 2024 & 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, 2024 (Heat Map Analysis)
- 9.3. Company Profiles
- 9.3.1. Zoetis
- 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
- 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. SignalPET
- 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. Radimal
- 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. Vetology
- 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. Aiforia
- 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. Scorpio Labs
- 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. Moichor
- 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. Mars, Inc
- 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. Covetrus
- 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. VetCT
- 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. AITEM Solutions
- 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. ImpriMed
- 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. Felcana
- 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. PetPace
- 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. smaXtec
- 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. CattleEye
- 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
- 9.3.18. AI for PET
- 9.3.18.1. Participant's Overview
- 9.3.18.2. Financial Performance
- 9.3.18.3. Product/Service Benchmarking
- 9.3.18.4. Strategic Initiatives