Summary

Veterinary Software Market Growth & Trends

The global veterinary software market size is anticipated to reach USD 3.01 billion by 2030 and is projected to grow at a CAGR of 13.2% from 2025 to 2030, according to a new report by Grand View Research, Inc. Veterinarians, veterinary practices, and pet owners can all benefit significantly from veterinary software. The benefits cover a range of areas related to patient care, clinic administration, and communication. Quick access and retrieval of patient records-including lab results, treatment plans, and medical histories-is made possible by digital storage. By doing away with the necessity for paper records, it lessens clutter and the possibility of data loss or damage. Clinics may better regulate patient flow and organize their daily schedules with the assistance of appointment scheduling tools. It minimizes the possibility of establishing multiple reservations or scheduling conflicts. It makes remote consultations possible, enabling vets to treat and counsel patients who are unable to visit the clinic physically. In addition, it broadens the clinic's clientele and offerings, particularly in emergency situations and socially awkward situations.

The market presents plenty of opportunities for expansion and novelty, attributable to industry demands, innovations in technology, and evolving consumer demands. Telemedicine has become increasingly popular in veterinary care, particularly since the COVID-19 pandemic. By providing telemedicine features that enable veterinarians to consult with patients and monitor them from a distance, veterinary software can take advantage of this trend and broaden its scope of practice. Veterinarian diagnostics might undergo a revolution thanks to AI and machine learning. Diagnostic accuracy and treatment outcomes can be enhanced by software solutions that use artificial intelligence (AI) for analyzing images, predictive analytics, and disease detection. Businesses of veterinary software can look into ways to grow internationally. Software that supports multi-language and multi-currency capabilities can meet the needs of clinics worldwide as veterinary care becomes more globally distributed.

Market players in the veterinary software space are strategically using mergers and acquisitions to expand their product lines and solidify their positions in the industry. To incorporate the latest innovations and broaden their service offerings, large corporations are purchasing smaller, innovative companies. Concurrently, there is a widespread use of collaboration and partnership strategies, as businesses form alliances to gain access to complementary expertise, expand their market reach, and provide more complete solutions. These adaptable tactics enable veterinary software suppliers to meet the varied demands of the changing veterinary sector, maintain their competitiveness, and take advantage of synergies. For instance, in February 2024, Instinct Science with the assistance of Mainsail partners acquired VetMedux, which is a veterinary education-providing company.

In May 2023, Hippo Manager partnered with Text Request. Users of Hippo Manager Software have access to Text Request's texting module directly from the Hippo Manager interface by using the Text Requests Chrome extension. This means that veterinary clinics can now use the same software they use to manage their daily operations to text clients to set up appointments, send reminders, and more.

Veterinary Software Market Report Highlights

• Based on product, the practice management software (PMS) segment led the market with the largest revenue share of 59.60% in 2024. However, telehealth software is expected to grow at the fastest CAGR of 15.67% during forecast period, due to the growing acceptance of Internet of Things (IoT) and Artificial Intelligence (AI) technologies

• Based on delivery mode, the cloud/web-based segment attributed to largest market share in 2024 and is projected to grow at fastest CAGR during the forecast period, owing to easy scalability as well as ease of use of cloud-based software

• Based on practice type, the small animals segment led the market with the largest revenue share of 60.00% in 2024. The segment includes software revenue from veterinarian practices that treat small companion animals (dogs and cats) as their primary source of care. Veterinarians and veterinary clinics can more efficiently manage their daily activities and deliver high-quality animal care with the aid of small animal PMS, a specialized tool

• Based on end use, the hospitals/clinics segment led the market with the largest revenue share of 85.97% in 2024, due to the accelerating digitization of veterinary practices and the growing awareness of the advantages that software provides to both patient care and business operations are what is driving the overall growth of the hospitals/clinics segment

• North America dominates the market with the largest revenue share of 42.97% in 2024. Conversely, Asia Pacific held the highest CAGR over forecast period of 2025 to 2030

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Table of Contents

Table of Contents

Chapter 1. Research Methodology And Scope
1.1. Market Segmentation & Scope
1.1.1. Segment Definitions
1.1.2. Product
1.1.3. Delivery Mode
1.1.4. Practice Type
1.1.5. End-use
1.2. Regional Scope
1.3. Estimates And Forecast Timeline
1.4. Objectives
1.4.1. Objective-1
1.4.2. Objective-2
1.4.3. Objective-3
1.5. Research Methodology
1.6. Information Procurement
1.6.1. Purchased Database
1.6.2. GVR’s Internal Database
1.6.3. Secondary Sources
1.6.4. Primary Research
1.7. Information Or Data Analysis
1.7.1. Data Analysis Models
1.8. Market Formulation & Validation
1.9. Model Details
1.9.1. Commodity Flow Analysis
1.9.2. Parent Market Analysis
1.10. List Of Secondary Sources
1.11. List Of Abbreviations
Chapter 2. Executive Summary
2.1. Market Outlook
2.2. Segment Outlook
2.3. Competitive Insights
Chapter 3. Veterinary Software Market Variables, Trends & Scope
3.1. Market Lineage Outlook
3.1.1. Parent Market Outlook
3.1.2. Related/Ancillary Market Outlook
3.2. Market Dynamics
3.2.1. Market Driver Analysis
3.2.1.1. Multiple Integrations of Veterinary Software
3.2.1.2. Increasing Adoption Of Artificial Intelligence (AI)
3.2.1.3. Rise in Veterinary Patient Volume
3.2.1.4. Increasing Adoption of Telehealth Software
3.2.2. Market Restraint Analysis
3.2.2.1. High Cost of Veterinary Software
3.2.2.2. Availability of Substitutes
3.2.2.3. Lack of Network Infrastructure in Under-developed regions
3.3. Veterinary Software Market Analysis Tools
3.3.1. Industry Analysis - Porter’s
3.3.1.1. Supplier Power
3.3.1.2. Buyer Power
3.3.1.3. Substitution Threat
3.3.1.4. Threat Of New Entrant
3.3.1.5. Competitive Rivalry
3.3.2. PESTEL Analysis
3.3.3. Porters Analysis
3.3.4. COVID-19 Impact Analysis
Chapter 4. Veterinary Software Market: Product Estimates & Trend Analysis
4.1. Segment Dashboard
4.2. Global Veterinary Software Market Movement Analysis
4.3. Veterinary Software Market Size & Trend Analysis, By Product, 2018 - 2030 (USD Million)
4.3.1. Practice Management Software
4.3.1.1. Market estimates and forecasts 2018 - 2030 (USD Million)
4.3.2. Imaging Software
4.3.2.1. Market estimates and forecasts 2018 - 2030 (USD Million)
4.3.3. Telehealth Software
4.3.3.1. Market estimates and forecasts 2018 - 2030 (USD Million)
4.3.4. Others Software
4.3.4.1. Market estimates and forecasts 2018 - 2030 (USD Million)
Chapter 5. Veterinary Software Market: Delivery Mode Estimates & Trend Analysis
5.1. Segment Dashboard
5.2. Global Veterinary Software Market Movement Analysis
5.3. Veterinary Software Market Size & Trend Analysis, Delivery Mode, 2018 - 2030 (USD Million)
5.3.1. On Premise
5.3.1.1. Market estimates and forecasts 2018 - 2030 (USD Million)
5.3.2. Cloud/Web Based
5.3.2.1. Market estimates and forecasts 2018 - 2030 (USD Million)
Chapter 6. Veterinary Software Market: Practice Type Estimates & Trend Analysis
6.1. Segment Dashboard
6.2. Global Veterinary Software Market Movement Analysis
6.3. Veterinary Software Market Size & Trend Analysis, By Practice Type, 2018 - 2030 (USD Million)
6.3.1. Small Animals
6.3.1.1. Market estimates and forecasts 2018 - 2030 (USD Million)
6.3.2. Mixed Animals
6.3.2.1. Market estimates and forecasts 2018 - 2030 (USD Million)
6.3.3. Equine
6.3.3.1. Market estimates and forecasts 2018 - 2030 (USD Million)
6.3.4. Food Producing Animals
6.3.4.1. Market estimates and forecasts 2018 - 2030 (USD Million)
6.3.5. Others
6.3.5.1. Market estimates and forecasts 2018 - 2030 (USD Million)
Chapter 7. Veterinary Software Market: End Use Estimates & Trend Analysis
7.1. Segment Dashboard
7.2. Movement Analysis
7.3. Veterinary Software Market Size & Trend Analysis, By End Use, 2018 - 2030 (USD Million)
7.3.1. Veterinary Hospitals/Clinics
7.3.1.1. Market estimates and forecasts 2018 - 2030 (USD Million)
7.3.2. Other End Use
7.3.2.1. Market estimates and forecasts 2018 - 2030 (USD Million)
Chapter 8. Veterinary Software Market: Regional Estimates & Trend Analysis, by Product, Delivery Mode, Practice Type & End Use
8.1. Regional Dashboard
8.2. Market Size & Forecasts and Trend Analysis, 2018 to 2030
8.3. North America
8.3.1. Market Estimates and Forecast, 2018 - 2030 (USD Million)
8.3.2. U.S.
8.3.2.1. Key Country Dynamics
8.3.2.2. Competitive Scenario
8.3.2.3. U.S. Market Estimates and Forecasts, 2018 - 2030 (USD Million)
8.3.3. Canada
8.3.3.1. Key Country Dynamics
8.3.3.2. Competitive Scenario
8.3.3.3. Canada Market Estimates and Forecasts, 2018 - 2030 (USD Million)
8.3.4. Mexico
8.3.4.1. Key Country Dynamics
8.3.4.2. Competitive Scenario
8.3.4.3. Mexico Market Estimates and Forecasts, 2018 - 2030 (USD Million)
8.4. Europe
8.4.1. UK
8.4.1.1. Key Country Dynamics
8.4.1.2. Competitive Scenario
8.4.1.3. UK Market Estimates and Forecasts, 2018 - 2030 (USD Million)
8.4.2. Germany
8.4.2.1. Key Country Dynamics
8.4.2.2. Competitive Scenario
8.4.2.3. Germany Market Estimates and Forecasts, 2018 - 2030 (USD Million)
8.4.3. France
8.4.3.1. Key Country Dynamics
8.4.3.2. Competitive Scenario
8.4.3.3. France Market Estimates and Forecasts, 2018 - 2030 (USD Million)
8.4.4. Italy
8.4.4.1. Key Country Dynamics
8.4.4.2. Competitive Scenario
8.4.4.3. Italy Market Estimates and Forecasts, 2018 - 2030 (USD Million)
8.4.5. Spain
8.4.5.1. Key Country Dynamics
8.4.5.2. Competitive Scenario
8.4.5.3. Spain Market Estimates and Forecasts, 2018 - 2030 (USD Million)
8.4.6. Russia
8.4.6.1. Key Country Dynamics
8.4.6.2. Competitive Scenario
8.4.6.3. Russia Market Estimates and Forecasts, 2018 - 2030 (USD Million)
8.4.7. Sweden
8.4.7.1. Key Country Dynamics
8.4.7.2. Competitive Scenario
8.4.7.3. Sweden Market Estimates and Forecasts, 2018 - 2030 (USD Million)
8.4.8. Netherlands
8.4.8.1. Key Country Dynamics
8.4.8.2. Competitive Scenario
8.4.8.3. Netherlands Market Estimates and Forecasts, 2018 - 2030 (USD Million)
8.4.9. Switzerland
8.4.9.1. Key Country Dynamics
8.4.9.2. Competitive Scenario
8.4.9.3. Switzerland Market Estimates and Forecasts, 2018 - 2030 (USD Million)
8.4.10. Ireland
8.4.10.1. Key Country Dynamics
8.4.10.2. Competitive Scenario
8.4.10.3. Ireland Market Estimates and Forecasts, 2018 - 2030 (USD Million)
8.4.11. Poland
8.4.11.1. Key Country Dynamics
8.4.11.2. Competitive Scenario
8.4.11.3. Poland Market Estimates and Forecasts, 2018 - 2030 (USD Million)
8.5. Asia Pacific
8.5.1. Japan
8.5.1.1. Key Country Dynamics
8.5.1.2. Competitive Scenario
8.5.1.3. Japan Market Estimates and Forecasts, 2018 - 2030 (USD Million)
8.5.2. India
8.5.2.1. Key Country Dynamics
8.5.2.2. Competitive Scenario
8.5.2.3. India Market Estimates and Forecasts, 2018 - 2030 (USD Million)
8.5.3. China
8.5.3.1. Key Country Dynamics
8.5.3.2. Competitive Scenario
8.5.3.3. China Market Estimates and Forecasts, 2018 - 2030 (USD Million)
8.5.4. South Korea
8.5.4.1. Key Country Dynamics
8.5.4.2. Competitive Scenario
8.5.4.3. South Korea Market Estimates and Forecasts, 2018 - 2030 (USD Million)
8.5.5. Australia
8.5.5.1. Key Country Dynamics
8.5.5.2. Competitive Scenario
8.5.5.3. Australia Market Estimates and Forecasts, 2018 - 2030 (USD Million)
8.5.6. Thailand
8.5.6.1. Key Country Dynamics
8.5.6.2. Competitive Scenario
8.5.6.3. Thailand Market Estimates and Forecasts, 2018 - 2030 (USD Million)
8.5.7. Indonesia
8.5.7.1. Key Country Dynamics
8.5.7.2. Competitive Scenario
8.5.7.3. Indonesia Market Estimates and Forecasts, 2018 - 2030 (USD Million)
8.5.8. Philippines
8.5.8.1. Key Country Dynamics
8.5.8.2. Competitive Scenario
8.5.8.3. Philippines Market Estimates and Forecasts, 2018 - 2030 (USD Million)
8.5.9. Malaysia
8.5.9.1. Key Country Dynamics
8.5.9.2. Competitive Scenario
8.5.9.3. Malaysia Market Estimates and Forecasts, 2018 - 2030 (USD Million)
8.5.10. Singapore
8.5.10.1. Key Country Dynamics
8.5.10.2. Competitive Scenario
8.5.10.3. Singapore Market Estimates and Forecasts, 2018 - 2030 (USD Million)
8.6. Latin America
8.6.1. Brazil
8.6.1.1. Key Country Dynamics
8.6.1.2. Competitive Scenario
8.6.1.3. Brazil Market Estimates and Forecasts, 2018 - 2030 (USD Million)
8.6.2. Argentina
8.6.2.1. Key Country Dynamics
8.6.2.2. Competitive Scenario
8.6.2.3. Argentina Market Estimates and Forecasts, 2018 - 2030 (USD Million)
8.7. MEA
8.7.1. South Africa
8.7.1.1. Key Country Dynamics
8.7.1.2. Competitive Scenario
8.7.1.3. South Africa Market Estimates and Forecasts, 2018 - 2030 (USD Million)
8.7.2. Saudi Arabia
8.7.2.1. Key Country Dynamics
8.7.2.2. Competitive Scenario
8.7.2.3. Saudi Arabia Market Estimates and Forecasts, 2018 - 2030 (USD Million)
8.7.3. UAE
8.7.3.1. Key Country Dynamics
8.7.3.2. Competitive Scenario
8.7.3.3. UAE Market Estimates and Forecasts, 2018 - 2030 (USD Million)
8.7.4. Iran
8.7.4.1. Key Country Dynamics
8.7.4.2. Competitive Scenario
8.7.4.3. Iran Market Estimates and Forecasts, 2018 - 2030 (USD Million)
8.7.5. Turkey
8.7.5.1. Key Country Dynamics
8.7.5.2. Competitive Scenario
8.7.5.3. Turkey Market Estimates and Forecasts, 2018 - 2030 (USD Million)
8.7.6. Israel
8.7.6.1. Key Country Dynamics
8.7.6.2. Competitive Scenario
8.7.6.3. Israel Market Estimates and Forecasts, 2018 - 2030 (USD Million)
Chapter 9. Competitive Landscape
9.1. Market Participant Categorization
9.2. Participants Overview
9.3. Financial Performance
9.4. Product Benchmarking
9.5. Market Position Analysis, 2024 (Heat Map Analysis)
9.6. Strategy Mapping
9.6.1. Mergers And Acquisitions
9.6.2. Launch
9.6.3. Partnerships & Collaborations
9.6.4. Expansion
9.6.5. Others
9.7. Company Profiles
9.7.1. Idexx Laboratories
9.7.1.1. Participant’s overview
9.7.1.2. Financial performance
9.7.1.3. Product benchmarking
9.7.1.4. Strategic initiatives
9.7.2. Covetrus Inc. (Henry Schein)
9.7.2.1. Participant’s overview
9.7.2.2. Financial performance
9.7.2.3. Product benchmarking
9.7.2.4. Strategic initiatives
9.7.3. Hippo Manager
9.7.3.1. Participant’s overview
9.7.3.2. Financial performance
9.7.3.3. Product benchmarking
9.7.3.4. Strategic initiatives
9.7.4. Shepherd Veterinary Software
9.7.4.1. Participant’s overview
9.7.4.2. Financial performance
9.7.4.3. Product benchmarking
9.7.4.4. Strategic initiatives
9.7.5. DaySmart Software
9.7.5.1. Participant’s overview
9.7.5.2. Financial performance
9.7.5.3. Product benchmarking
9.7.5.4. Strategic initiatives
9.7.6. Digitail
9.7.6.1. Participant’s overview
9.7.6.2. Financial performance
9.7.6.3. Product benchmarking
9.7.6.4. Strategic initiatives
9.7.7. ProVet (NordHealth)
9.7.7.1. Participant’s overview
9.7.7.2. Financial performance
9.7.7.3. Product benchmarking
9.7.7.4. Strategic initiatives
9.7.8. OnwardVet
9.7.8.1. Participant’s overview
9.7.8.2. Financial performance
9.7.8.3. Product benchmarking
9.7.8.4. Strategic initiatives
9.7.9. Asteris
9.7.9.1. Participant’s overview
9.7.9.2. Financial performance
9.7.9.3. Product benchmarking
9.7.9.4. Strategic initiatives
9.7.10. Carestream Health
9.7.10.1. Participant’s overview
9.7.10.2. Financial performance
9.7.10.3. Product benchmarking
9.7.10.4. Strategic initiatives
9.7.11. Heska Corporation (Mars Inc.)
9.7.11.1. Participant’s overview
9.7.11.2. Financial performance
9.7.11.3. Product benchmarking
9.7.11.4. Strategic initiatives
9.7.12. Oehm und Rehbein GmbH
9.7.12.1. Participant’s overview
9.7.12.2. Financial performance
9.7.12.3. Product benchmarking
9.7.12.4. Strategic initiatives
9.7.13. VetStoria
9.7.13.1. Participant’s overview
9.7.13.2. Financial performance
9.7.13.3. Product benchmarking
9.7.13.4. Strategic initiatives
9.7.14. Instinct Science, LLC
9.7.14.1. Participant’s overview
9.7.14.2. Financial performance
9.7.14.3. Product benchmarking
9.7.14.4. Strategic initiatives
9.7.15. Planmeca OY
9.7.15.1. Participant’s overview
9.7.15.2. Financial performance
9.7.15.3. Product benchmarking
9.7.15.4. Strategic initiatives
9.8. List of Other Key Market Players
Chapter 10. Key Takeaways