반려동물용 영상 진단 시장 : 시장 예측(2026-2032년)

The Pet Diagnostic Imaging Market is projected to grow by USD 3.14 billion at a CAGR of 12.69% by 2032.

Pet Diagnostic Imaging: Executive Overview

Pet diagnostic imaging encompasses radiography, ultrasound, computed tomography, magnetic resonance imaging, and related image-guided procedures used in veterinary care. Demand is shaped by companion-animal ownership, advances in clinical medicine, preventive care, specialty practice development, and the need for faster, more precise diagnosis. Adoption varies with equipment access, veterinary expertise, regulatory conditions, and the affordability of advanced procedures.

How Veterinary Imaging Is Reshaping Clinical Practice

Veterinary imaging is shifting from primarily confirmatory testing toward earlier detection, treatment planning, monitoring, and minimally invasive intervention. Portable systems, digital workflows, teleradiology, and improved image archiving are expanding access beyond referral hospitals. At the same time, practices must address staff training, workflow integration, radiation safety, maintenance, and the challenge of communicating diagnostic value clearly to pet owners.

Artificial Intelligence's Cumulative Effect on Imaging Workflows

Artificial intelligence is increasingly relevant to image acquisition, quality control, triage, segmentation, measurement, and decision support. Its greatest near-term value is likely to come from reducing repetitive tasks, prioritizing urgent studies, and supporting consistent interpretation rather than replacing veterinary judgment. Successful deployment requires representative veterinary datasets, validation across species and modalities, transparent outputs, cybersecurity, privacy controls, and governance for false positives and missed findings.

Regional Dynamics Across Veterinary Imaging

North America benefits from established specialty-care networks, advanced referral facilities, and comparatively broad access to sophisticated imaging. Europe combines strong clinical capabilities with varied reimbursement, regulatory, and practice structures across countries. Asia-Pacific presents diverse conditions, ranging from highly developed urban veterinary systems to expanding access in emerging markets. Latin America is shaped by uneven equipment availability, specialist concentration, and the growth of private companion-animal care. The Middle East is seeing expanding investment in modern veterinary facilities, particularly in major urban centers, while Africa remains characterized by substantial differences in infrastructure, training capacity, and access between countries and metropolitan areas.

Group-Level Signals Across ASEAN, BRICS, EU, G7, GCC, and NATO

ASEAN markets reflect rapid urbanization, growing companion-animal services, and pronounced variation in clinical infrastructure and regulation. BRICS countries span large and diverse veterinary systems, with opportunities tied to local manufacturing, workforce development, and improved referral pathways. The European Union emphasizes cross-border standards, data governance, and professional mobility, while G7 countries generally have mature specialty-care ecosystems and established quality expectations. GCC members are strengthening high-end veterinary services in key cities, and NATO countries collectively include many advanced imaging markets while also reflecting differing national health, procurement, and veterinary-care frameworks.

Country Priorities: Infrastructure, Expertise, and Access

The United States and Canada have extensive specialty and referral capabilities, with emphasis on workflow efficiency, advanced modalities, and teleradiology. The United Kingdom, France, Germany, Italy, and Spain combine experienced veterinary communities with differing reimbursement, procurement, and practice models. Japan and South Korea show strong technology adoption alongside sophisticated urban pet-care networks. China and India present major variation between metropolitan and non-metropolitan services, making workforce development and scalable equipment important. Australia has strong clinical standards but faces geographic dispersion, while Brazil, Mexico, and Russia reflect significant regional differences in specialist access, equipment distribution, and veterinary-care affordability.

Strategic Priorities for Veterinary Imaging Leaders

Industry leaders should prioritize interoperable digital workflows, modality-specific training, preventive maintenance, and service models suited to both referral hospitals and community practices. Partnerships with veterinary schools and professional organizations can strengthen interpretation capacity and continuing education. AI initiatives should begin with narrowly defined, clinically validated use cases and measurable safety outcomes. Providers should also improve client communication, publish transparent procedure protocols, protect imaging data, and design deployment plans that account for local infrastructure, workforce availability, and regulatory requirements.

Methodology for Assessing the Pet Diagnostic Imaging Landscape

This executive summary uses a structured qualitative assessment of the pet diagnostic imaging ecosystem. The framework considers modality adoption, veterinary practice organization, referral infrastructure, clinical workforce, technology integration, regulatory context, data governance, and access conditions across the specified regions, groups, and countries. Findings are synthesized as directional insights rather than market estimates, forecasts, or financial measurements, and should be validated against current local clinical, regulatory, and operational evidence before investment or policy decisions.

Conclusion: Building Accessible, Trusted Veterinary Imaging

Pet diagnostic imaging is becoming more central to timely, evidence-based veterinary care. Progress will depend not only on advanced equipment, but also on trained professionals, interoperable systems, responsible AI, reliable service support, and clear communication with pet owners. Organizations that combine clinical rigor with scalable implementation and regional sensitivity will be better positioned to improve diagnostic quality and broaden appropriate access.

Table of Contents

1. Preface

• 1.1. Objectives of the Study
• 1.2. Market Definition
• 1.3. Market Segmentation & Coverage
• 1.4. Years Considered for the Study
• 1.5. Currency Considered for the Study
• 1.6. Language Considered for the Study
• 1.7. Key Stakeholders

2. Research Methodology

• 2.1. Introduction
• 2.2. Research Design
  • 2.2.1. Primary Research
  • 2.2.2. Secondary Research
• 2.3. Research Framework
  • 2.3.1. Qualitative Analysis
  • 2.3.2. Quantitative Analysis
• 2.4. Market Size Estimation
  • 2.4.1. Top-Down Approach
  • 2.4.2. Bottom-Up Approach
• 2.5. Data Triangulation
• 2.6. Research Outcomes
• 2.7. Research Assumptions
• 2.8. Research Limitations

3. Executive Summary

• 3.1. Introduction
• 3.2. CXO Perspective
• 3.3. New Revenue Opportunities
• 3.4. Next-Generation Business Models
• 3.5. Industry Roadmap

4. Market Overview

• 4.1. Introduction
• 4.2. Industry Ecosystem & Value Chain Analysis
  • 4.2.1. Supply-Side Analysis
  • 4.2.2. Demand-Side Analysis
  • 4.2.3. Stakeholder Analysis
• 4.3. Market Dynamics
  • 4.3.1. Key Drivers
  • 4.3.2. Key Restraints
  • 4.3.3. Key Opportunities
  • 4.3.4. Key Challenges
• 4.4. Porter's Five Forces Analysis
• 4.5. PESTLE Analysis
• 4.6. Market Outlook
  • 4.6.1. Near-Term Market Outlook (0-2 Years)
  • 4.6.2. Medium-Term Market Outlook (3-5 Years)
  • 4.6.3. Long-Term Market Outlook (5-10 Years)
• 4.7. Go-to-Market Strategy

5. Market Insights

• 5.1. Consumer Insights & End-User Perspective
• 5.2. Consumer Experience Benchmarking
• 5.3. Opportunity Mapping
• 5.4. Distribution Channel Analysis
• 5.5. Pricing Trend Analysis
• 5.6. Regulatory Compliance & Standards Framework
• 5.7. ESG & Sustainability Analysis
• 5.8. Disruption & Risk Scenarios
• 5.9. Return on Investment & Cost-Benefit Analysis

6. Cumulative Impact of Artificial Intelligence 2026

7. Pet Diagnostic Imaging Market, by Imaging Modality

• 7.1. Introduction
• 7.2. Radiography Systems
  • 7.2.1. Conventional Radiography
  • 7.2.2. Computed Radiography
  • 7.2.3. Direct Digital Radiography
• 7.3. Ultrasound Systems
  • 7.3.1. Cart-based Ultrasound
    • 7.3.1.1. 2D Ultrasound
    • 7.3.1.2. 3D and 4D Ultrasound
    • 7.3.1.3. Doppler Ultrasound
  • 7.3.2. Portable Ultrasound
    • 7.3.2.1. Handheld Ultrasound
    • 7.3.2.2. Laptop-based Ultrasound
• 7.4. Computed Tomography Systems
  • 7.4.1. Single-slice CT
  • 7.4.2. Multi-slice CT
  • 7.4.3. Cone Beam CT
• 7.5. Magnetic Resonance Imaging Systems
  • 7.5.1. Low-field MRI
  • 7.5.2. High-field MRI
• 7.6. Nuclear Imaging Systems
  • 7.6.1. Positron Emission Tomography
  • 7.6.2. Single Photon Emission Computed Tomography
  • 7.6.3. Hybrid PET or CT Systems
  • 7.6.4. Hybrid SPECT or CT Systems
• 7.7. Fluoroscopy Systems
• 7.8. Dental Imaging Systems
  • 7.8.1. Intraoral Dental Imaging
  • 7.8.2. Extraoral Dental Imaging

8. Pet Diagnostic Imaging Market, by Animal Type

• 8.1. Introduction
• 8.2. Cats
• 8.3. Dogs
• 8.4. Equine
• 8.5. Laboratory Animals

9. Pet Diagnostic Imaging Market, by Service Type

• 9.1. Introduction
• 9.2. Equipment Sales
  • 9.2.1. New Equipment
  • 9.2.2. Refurbished Equipment
• 9.3. Services And Aftermarket
  • 9.3.1. Calibration And Training
  • 9.3.2. Maintenance

10. Pet Diagnostic Imaging Market, by End User

• 10.1. Introduction
• 10.2. Academic Institutes
• 10.3. Diagnostic Laboratories
• 10.4. Research Institutes
• 10.5. Specialty Hospitals
• 10.6. Veterinary Clinics

11. Pet Diagnostic Imaging Market, by Region

• 11.1. Introduction
• 11.2. Asia-Pacific
• 11.3. North America
• 11.4. Latin America
• 11.5. Europe
• 11.6. Middle East
• 11.7. Africa

12. Pet Diagnostic Imaging Market, by Group

• 12.1. Introduction
• 12.2. ASEAN
• 12.3. GCC
• 12.4. European Union
• 12.5. BRICS
• 12.6. G7
• 12.7. NATO

13. Pet Diagnostic Imaging Market, by Country

• 13.1. Introduction
• 13.2. United States
• 13.3. Canada
• 13.4. Mexico
• 13.5. Brazil
• 13.6. United Kingdom
• 13.7. Germany
• 13.8. France
• 13.9. Russia
• 13.10. Italy
• 13.11. Spain
• 13.12. China
• 13.13. India
• 13.14. Japan
• 13.15. Australia
• 13.16. South Korea

14. Competitive Landscape

• 14.1. Market Share Analysis, 2025
• 14.2. Market Concentration Analysis, 2025
  • 14.2.1. Concentration Ratio (CR)
  • 14.2.2. Herfindahl Hirschman Index (HHI)
• 14.3. Recent Developments & Impact Analysis, 2025
• 14.4. Product Portfolio Analysis, 2025
• 14.5. Benchmarking Analysis, 2025

15. Company Profiles

• 15.1. Agfa-Gevaert Group
• 15.2. Allied Healthcare Products, Inc.
• 15.3. Antech Imaging Services
• 15.4. Bruker Corporation
• 15.5. Canon Medical Systems Corporation
• 15.6. CareFusion
• 15.7. Carestream Health, Inc.
• 15.8. Esaote SpA
• 15.9. FUJIFILM Holdings Corporation
• 15.10. GE Healthcare
• 15.11. Hoya Corporation
• 15.12. IDEXX Laboratories, Inc.
• 15.13. IMV Imaging
• 15.14. Konica Minolta, Inc.
• 15.15. Koninklijke Philips N.V.
• 15.16. Medtronic plc
• 15.17. Nikon Corporation
• 15.18. Olympus Corporation
• 15.19. Samsung Medison Co., Ltd.
• 15.20. Siemens Healthineers AG
• 15.21. Sound Technologies, LLC
• 15.22. Summus Medical Laser, Inc.
• 15.23. VCA Inc.
• 15.24. VetCT Group Ltd.
• 15.25. Vetel Diagnostics Ltd.

16. Key Experts