AI Pet Diagnostics Market Forecasts to 2032 – Global Analysis By Component (Software, Hardware and Services), Diagnostic Type, Animal Type, Technology, Application, End User and By Geography
Description
According to Stratistics MRC, the Global AI Pet Diagnostics Market is accounted for $764.4 million in 2025 and is expected to reach $2,321.8 million by 2032 growing at a CAGR of 17.2% during the forecast period. AI Pet Diagnostics refers to the use of artificial intelligence technologies to detect, analyze, and predict health conditions in animals with speed and precision. By combining machine learning algorithms with veterinary data such as medical images, lab results, biosignals, and behavioral patterns, these systems support early disease detection and clinical decision-making. Rooted in traditional veterinary practice yet propelled by modern computing, AI pet diagnostics improves accuracy, reduces diagnostic time, enables remote monitoring, and strengthens preventive care, shaping a more proactive and data-driven future for animal healthcare.
Market Dynamics:
Driver:
Growing Pet Ownership & Humanization of Pets
Rising pet ownership, coupled with the increasing humanization of pets, is a key driver of the AI pet diagnostics market. Pets are increasingly viewed as family members, leading owners to demand advanced, timely, and accurate healthcare solutions. This shift has boosted spending on preventive care, early diagnosis, and continuous health monitoring. AI-enabled diagnostic tools align well with this trend by offering faster insights, improved accuracy, and personalized care pathways, supporting veterinarians in delivering higher standards of animal healthcare. Thus, it drives the growth of the market.
Restraint:
High Implementation Costs
High implementation costs act as a significant restraint for the market, particularly for small and mid-sized veterinary practices. Expenses related to AI software acquisition, advanced diagnostic equipment, data integration, and skilled personnel create financial barriers. Additionally, ongoing costs for system maintenance, upgrades, and cybersecurity further limit adoption. In price-sensitive markets, these factors slow widespread deployment, despite the long-term clinical and operational benefits offered by AI-driven diagnostic solutions.
Opportunity:
Integration with Wearables & IoT Devices
The integration of AI pet diagnostics with wearable devices and IoT-enabled systems presents a strong growth opportunity. Smart collars, biosensors, and connected health monitors continuously collect real-time data on vital signs, activity levels, and behavioral patterns. When combined with AI analytics, this data enables predictive diagnostics, early disease detection, and remote health monitoring. Such integration enhances preventive care, improves treatment outcomes, and supports data-driven veterinary decision-making, driving broader adoption across companion animal healthcare.
Threat:
Regulatory & Ethical Challenges
Regulatory and ethical challenges pose a notable threat to the AI pet diagnostics market. Variations in veterinary regulations, data protection laws, and approval frameworks across regions complicate product development and commercialization. Ethical concerns related to data privacy, algorithm transparency, and clinical accountability further restrict adoption. Ensuring compliance with evolving standards while maintaining diagnostic accuracy and trust among veterinarians and pet owners remains a critical challenge for market participants.
Covid-19 Impact:
The COVID-19 pandemic had a mixed impact on the AI pet diagnostics market. While supply chain disruptions and restricted veterinary visits initially slowed adoption, the pandemic accelerated demand for remote diagnostics and tele-veterinary services. Increased pet adoption during lockdowns and the need for contactless healthcare solutions boosted interest in AI-enabled diagnostic tools. As a result, COVID-19 highlighted the value of digital, data-driven veterinary care and supported long-term market growth.
The molecular diagnostics segment is expected to be the largest during the forecast period
The molecular diagnostics segment is expected to account for the largest market share during the forecast period, due to its high diagnostic accuracy and ability to detect diseases at an early stage. AI-powered molecular diagnostics efficiently analyze biomarkers, pathogens, and genetic material, enabling faster and more precise clinical decisions. The growing prevalence of chronic, infectious, and hereditary diseases in pets, along with increasing adoption of advanced laboratory technologies, supports widespread use. These factors collectively strengthen the dominance of this segment in the market.
The genetic screening segment is expected to have the highest CAGR during the forecast period
Over the forecast period, the genetic screening segment is predicted to witness the highest growth rate, due to rising awareness of preventive veterinary care and inherited disease risks. AI-driven genetic screening allows rapid interpretation of complex genomic data, supporting early risk assessment and personalized treatment strategies. Increasing focus on precision medicine, expanding availability of affordable genetic tests, and growing demand for breed-specific health insights among pet owners are accelerating adoption, positioning this segment for strong and sustained growth.
Region with largest share:
During the forecast period, the Asia Pacific region is expected to hold the largest market share, due to rising pet adoption, increasing disposable incomes, and improving access to veterinary services. Rapid digital transformation, expanding urbanization, and growing awareness of advanced animal healthcare solutions further support market expansion. Countries such as China, Japan, and India are witnessing increased adoption of AI technologies, supported by emerging startups and expanding veterinary infrastructure, driving strong regional market presence.
Region with highest CAGR:
Over the forecast period, the North America region is anticipated to exhibit the highest CAGR, owing to early adoption of advanced technologies and strong investment in veterinary innovation. High pet healthcare expenditure, widespread use of pet insurance, and growing demand for precision diagnostics support rapid growth. The presence of leading AI developers and animal health companies, coupled with well-established veterinary infrastructure and supportive regulatory frameworks, further accelerates market expansion across the region.
Key players in the market
Some of the key players in AI Pet Diagnostics Market include IDEXX Laboratories, Zoetis, Antech Diagnostics, SignalPET, Vetology, PetDx, VetCT, Scopio Labs, Radimal, Aiforia, Moichor, PetPace, TeleVet, Mella Pet Care and AIGenics.
Key Developments:
In June 2025, Zoetis has signed a strategic consulting deal with global IT firm Infosys to boost its digital capabilities and IT operations. Under the long-term engagement, Infosys will integrate advanced AI and automation solutions to enhance agility, improve operational efficiency, and better support veterinarians, livestock producers, and pet owners worldwide.
In December 2025, Zoetis and Colorado State University’s AgNext have launched a strategic cattle research collaboration to deepen scientific understanding of sustainable livestock production. The partnership will gather baseline data on greenhouse gas emissions and conduct lifecycle assessments to inform better animal health, in response to evolving sustainability goals.
Components Covered:
• Software
• Hardware
• Services
Diagnostic Types Covered:
• Imaging Diagnostics
• Wearable-Based Diagnostics
• Molecular Diagnostics
• Behavioral Analysis
• Clinical Pathology
Animal Types Covered:
• Dogs
• Horses
• Cats
• Livestock
• Other Animal Types
Technologies Covered:
• Machine Learning
• Computer Vision
• Deep Learning
• Natural Language Processing
Applications Covered:
• Disease Detection
• Remote Health Monitoring
• Preventive Health Monitoring
• Genetic Screening
• Nutrition & Wellness Assessment
End Users Covered:
• Veterinary Hospitals & Clinics
• Animal Shelters
• Pet Diagnostic Laboratories
• Pet Owners
• Research Institutes
Regions Covered:
• North America
US
Canada
Mexico
• Europe
Germany
UK
Italy
France
Spain
Rest of Europe
• Asia Pacific
Japan
China
India
Australia
New Zealand
South Korea
Rest of Asia Pacific
• South America
Argentina
Brazil
Chile
Rest of South America
• Middle East & Africa
Saudi Arabia
UAE
Qatar
South Africa
Rest of Middle East & Africa
What our report offers:
- Market share assessments for the regional and country-level segments
- Strategic recommendations for the new entrants
- Covers Market data for the years 2024, 2025, 2026, 2028, and 2032
- Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
- Strategic recommendations in key business segments based on the market estimations
- Competitive landscaping mapping the key common trends
- Company profiling with detailed strategies, financials, and recent developments
- Supply chain trends mapping the latest technological advancements
Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances
Market Dynamics:
Driver:
Growing Pet Ownership & Humanization of Pets
Rising pet ownership, coupled with the increasing humanization of pets, is a key driver of the AI pet diagnostics market. Pets are increasingly viewed as family members, leading owners to demand advanced, timely, and accurate healthcare solutions. This shift has boosted spending on preventive care, early diagnosis, and continuous health monitoring. AI-enabled diagnostic tools align well with this trend by offering faster insights, improved accuracy, and personalized care pathways, supporting veterinarians in delivering higher standards of animal healthcare. Thus, it drives the growth of the market.
Restraint:
High Implementation Costs
High implementation costs act as a significant restraint for the market, particularly for small and mid-sized veterinary practices. Expenses related to AI software acquisition, advanced diagnostic equipment, data integration, and skilled personnel create financial barriers. Additionally, ongoing costs for system maintenance, upgrades, and cybersecurity further limit adoption. In price-sensitive markets, these factors slow widespread deployment, despite the long-term clinical and operational benefits offered by AI-driven diagnostic solutions.
Opportunity:
Integration with Wearables & IoT Devices
The integration of AI pet diagnostics with wearable devices and IoT-enabled systems presents a strong growth opportunity. Smart collars, biosensors, and connected health monitors continuously collect real-time data on vital signs, activity levels, and behavioral patterns. When combined with AI analytics, this data enables predictive diagnostics, early disease detection, and remote health monitoring. Such integration enhances preventive care, improves treatment outcomes, and supports data-driven veterinary decision-making, driving broader adoption across companion animal healthcare.
Threat:
Regulatory & Ethical Challenges
Regulatory and ethical challenges pose a notable threat to the AI pet diagnostics market. Variations in veterinary regulations, data protection laws, and approval frameworks across regions complicate product development and commercialization. Ethical concerns related to data privacy, algorithm transparency, and clinical accountability further restrict adoption. Ensuring compliance with evolving standards while maintaining diagnostic accuracy and trust among veterinarians and pet owners remains a critical challenge for market participants.
Covid-19 Impact:
The COVID-19 pandemic had a mixed impact on the AI pet diagnostics market. While supply chain disruptions and restricted veterinary visits initially slowed adoption, the pandemic accelerated demand for remote diagnostics and tele-veterinary services. Increased pet adoption during lockdowns and the need for contactless healthcare solutions boosted interest in AI-enabled diagnostic tools. As a result, COVID-19 highlighted the value of digital, data-driven veterinary care and supported long-term market growth.
The molecular diagnostics segment is expected to be the largest during the forecast period
The molecular diagnostics segment is expected to account for the largest market share during the forecast period, due to its high diagnostic accuracy and ability to detect diseases at an early stage. AI-powered molecular diagnostics efficiently analyze biomarkers, pathogens, and genetic material, enabling faster and more precise clinical decisions. The growing prevalence of chronic, infectious, and hereditary diseases in pets, along with increasing adoption of advanced laboratory technologies, supports widespread use. These factors collectively strengthen the dominance of this segment in the market.
The genetic screening segment is expected to have the highest CAGR during the forecast period
Over the forecast period, the genetic screening segment is predicted to witness the highest growth rate, due to rising awareness of preventive veterinary care and inherited disease risks. AI-driven genetic screening allows rapid interpretation of complex genomic data, supporting early risk assessment and personalized treatment strategies. Increasing focus on precision medicine, expanding availability of affordable genetic tests, and growing demand for breed-specific health insights among pet owners are accelerating adoption, positioning this segment for strong and sustained growth.
Region with largest share:
During the forecast period, the Asia Pacific region is expected to hold the largest market share, due to rising pet adoption, increasing disposable incomes, and improving access to veterinary services. Rapid digital transformation, expanding urbanization, and growing awareness of advanced animal healthcare solutions further support market expansion. Countries such as China, Japan, and India are witnessing increased adoption of AI technologies, supported by emerging startups and expanding veterinary infrastructure, driving strong regional market presence.
Region with highest CAGR:
Over the forecast period, the North America region is anticipated to exhibit the highest CAGR, owing to early adoption of advanced technologies and strong investment in veterinary innovation. High pet healthcare expenditure, widespread use of pet insurance, and growing demand for precision diagnostics support rapid growth. The presence of leading AI developers and animal health companies, coupled with well-established veterinary infrastructure and supportive regulatory frameworks, further accelerates market expansion across the region.
Key players in the market
Some of the key players in AI Pet Diagnostics Market include IDEXX Laboratories, Zoetis, Antech Diagnostics, SignalPET, Vetology, PetDx, VetCT, Scopio Labs, Radimal, Aiforia, Moichor, PetPace, TeleVet, Mella Pet Care and AIGenics.
Key Developments:
In June 2025, Zoetis has signed a strategic consulting deal with global IT firm Infosys to boost its digital capabilities and IT operations. Under the long-term engagement, Infosys will integrate advanced AI and automation solutions to enhance agility, improve operational efficiency, and better support veterinarians, livestock producers, and pet owners worldwide.
In December 2025, Zoetis and Colorado State University’s AgNext have launched a strategic cattle research collaboration to deepen scientific understanding of sustainable livestock production. The partnership will gather baseline data on greenhouse gas emissions and conduct lifecycle assessments to inform better animal health, in response to evolving sustainability goals.
Components Covered:
• Software
• Hardware
• Services
Diagnostic Types Covered:
• Imaging Diagnostics
• Wearable-Based Diagnostics
• Molecular Diagnostics
• Behavioral Analysis
• Clinical Pathology
Animal Types Covered:
• Dogs
• Horses
• Cats
• Livestock
• Other Animal Types
Technologies Covered:
• Machine Learning
• Computer Vision
• Deep Learning
• Natural Language Processing
Applications Covered:
• Disease Detection
• Remote Health Monitoring
• Preventive Health Monitoring
• Genetic Screening
• Nutrition & Wellness Assessment
End Users Covered:
• Veterinary Hospitals & Clinics
• Animal Shelters
• Pet Diagnostic Laboratories
• Pet Owners
• Research Institutes
Regions Covered:
• North America
US
Canada
Mexico
• Europe
Germany
UK
Italy
France
Spain
Rest of Europe
• Asia Pacific
Japan
China
India
Australia
New Zealand
South Korea
Rest of Asia Pacific
• South America
Argentina
Brazil
Chile
Rest of South America
• Middle East & Africa
Saudi Arabia
UAE
Qatar
South Africa
Rest of Middle East & Africa
What our report offers:
- Market share assessments for the regional and country-level segments
- Strategic recommendations for the new entrants
- Covers Market data for the years 2024, 2025, 2026, 2028, and 2032
- Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
- Strategic recommendations in key business segments based on the market estimations
- Competitive landscaping mapping the key common trends
- Company profiling with detailed strategies, financials, and recent developments
- Supply chain trends mapping the latest technological advancements
Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances
Table of Contents
200 Pages
- 1 Executive Summary
- 2 Preface
- 2.1 Abstract
- 2.2 Stake Holders
- 2.3 Research Scope
- 2.4 Research Methodology
- 2.4.1 Data Mining
- 2.4.2 Data Analysis
- 2.4.3 Data Validation
- 2.4.4 Research Approach
- 2.5 Research Sources
- 2.5.1 Primary Research Sources
- 2.5.2 Secondary Research Sources
- 2.5.3 Assumptions
- 3 Market Trend Analysis
- 3.1 Introduction
- 3.2 Drivers
- 3.3 Restraints
- 3.4 Opportunities
- 3.5 Threats
- 3.6 Technology Analysis
- 3.7 Application Analysis
- 3.8 End User Analysis
- 3.9 Emerging Markets
- 3.10 Impact of Covid-19
- 4 Porters Five Force Analysis
- 4.1 Bargaining power of suppliers
- 4.2 Bargaining power of buyers
- 4.3 Threat of substitutes
- 4.4 Threat of new entrants
- 4.5 Competitive rivalry
- 5 Global AI Pet Diagnostics Market, By Component
- 5.1 Introduction
- 5.2 Software
- 5.3 Hardware
- 5.4 Services
- 6 Global AI Pet Diagnostics Market, By Diagnostic Type
- 6.1 Introduction
- 6.2 Imaging Diagnostics
- 6.3 Wearable-Based Diagnostics
- 6.4 Molecular Diagnostics
- 6.5 Behavioral Analysis
- 6.6 Clinical Pathology
- 7 Global AI Pet Diagnostics Market, By Animal Type
- 7.1 Introduction
- 7.2 Dogs
- 7.3 Horses
- 7.4 Cats
- 7.5 Livestock
- 7.6 Other Animal Types
- 8 Global AI Pet Diagnostics Market, By Technology
- 8.1 Introduction
- 8.2 Machine Learning
- 8.3 Computer Vision
- 8.4 Deep Learning
- 8.5 Natural Language Processing
- 9 Global AI Pet Diagnostics Market, By Application
- 9.1 Introduction
- 9.2 Disease Detection
- 9.3 Remote Health Monitoring
- 9.4 Preventive Health Monitoring
- 9.5 Genetic Screening
- 9.6 Nutrition & Wellness Assessment
- 10 Global AI Pet Diagnostics Market, By End User
- 10.1 Introduction
- 10.2 Veterinary Hospitals & Clinics
- 10.3 Animal Shelters
- 10.4 Pet Diagnostic Laboratories
- 10.5 Pet Owners
- 10.6 Research Institutes
- 11 Global AI Pet Diagnostics Market, By Geography
- 11.1 Introduction
- 11.2 North America
- 11.2.1 US
- 11.2.2 Canada
- 11.2.3 Mexico
- 11.3 Europe
- 11.3.1 Germany
- 11.3.2 UK
- 11.3.3 Italy
- 11.3.4 France
- 11.3.5 Spain
- 11.3.6 Rest of Europe
- 11.4 Asia Pacific
- 11.4.1 Japan
- 11.4.2 China
- 11.4.3 India
- 11.4.4 Australia
- 11.4.5 New Zealand
- 11.4.6 South Korea
- 11.4.7 Rest of Asia Pacific
- 11.5 South America
- 11.5.1 Argentina
- 11.5.2 Brazil
- 11.5.3 Chile
- 11.5.4 Rest of South America
- 11.6 Middle East & Africa
- 11.6.1 Saudi Arabia
- 11.6.2 UAE
- 11.6.3 Qatar
- 11.6.4 South Africa
- 11.6.5 Rest of Middle East & Africa
- 12 Key Developments
- 12.1 Agreements, Partnerships, Collaborations and Joint Ventures
- 12.2 Acquisitions & Mergers
- 12.3 New Product Launch
- 12.4 Expansions
- 12.5 Other Key Strategies
- 13 Company Profiling
- 13.1 IDEXX Laboratories
- 13.2 Zoetis
- 13.3 Antech Diagnostics
- 13.4 SignalPET
- 13.5 Vetology
- 13.6 PetDx
- 13.7 VetCT
- 13.8 Scopio Labs
- 13.9 Radimal
- 13.10 Aiforia
- 13.11 Moichor
- 13.12 PetPace
- 13.13 TeleVet
- 13.14 Mella Pet Care
- 13.15 AIGenics
- List of Tables
- Table 1 Global AI Pet Diagnostics Market Outlook, By Region (2024-2032) ($MN)
- Table 2 Global AI Pet Diagnostics Market Outlook, By Component (2024-2032) ($MN)
- Table 3 Global AI Pet Diagnostics Market Outlook, By Software (2024-2032) ($MN)
- Table 4 Global AI Pet Diagnostics Market Outlook, By Hardware (2024-2032) ($MN)
- Table 5 Global AI Pet Diagnostics Market Outlook, By Services (2024-2032) ($MN)
- Table 6 Global AI Pet Diagnostics Market Outlook, By Diagnostic Type (2024-2032) ($MN)
- Table 7 Global AI Pet Diagnostics Market Outlook, By Imaging Diagnostics (2024-2032) ($MN)
- Table 8 Global AI Pet Diagnostics Market Outlook, By Wearable-Based Diagnostics (2024-2032) ($MN)
- Table 9 Global AI Pet Diagnostics Market Outlook, By Molecular Diagnostics (2024-2032) ($MN)
- Table 10 Global AI Pet Diagnostics Market Outlook, By Behavioral Analysis (2024-2032) ($MN)
- Table 11 Global AI Pet Diagnostics Market Outlook, By Clinical Pathology (2024-2032) ($MN)
- Table 12 Global AI Pet Diagnostics Market Outlook, By Animal Type (2024-2032) ($MN)
- Table 13 Global AI Pet Diagnostics Market Outlook, By Dogs (2024-2032) ($MN)
- Table 14 Global AI Pet Diagnostics Market Outlook, By Horses (2024-2032) ($MN)
- Table 15 Global AI Pet Diagnostics Market Outlook, By Cats (2024-2032) ($MN)
- Table 16 Global AI Pet Diagnostics Market Outlook, By Livestock (2024-2032) ($MN)
- Table 17 Global AI Pet Diagnostics Market Outlook, By Other Animal Types (2024-2032) ($MN)
- Table 18 Global AI Pet Diagnostics Market Outlook, By Technology (2024-2032) ($MN)
- Table 19 Global AI Pet Diagnostics Market Outlook, By Machine Learning (2024-2032) ($MN)
- Table 20 Global AI Pet Diagnostics Market Outlook, By Computer Vision (2024-2032) ($MN)
- Table 21 Global AI Pet Diagnostics Market Outlook, By Deep Learning (2024-2032) ($MN)
- Table 22 Global AI Pet Diagnostics Market Outlook, By Natural Language Processing (2024-2032) ($MN)
- Table 23 Global AI Pet Diagnostics Market Outlook, By Application (2024-2032) ($MN)
- Table 24 Global AI Pet Diagnostics Market Outlook, By Disease Detection (2024-2032) ($MN)
- Table 25 Global AI Pet Diagnostics Market Outlook, By Remote Health Monitoring (2024-2032) ($MN)
- Table 26 Global AI Pet Diagnostics Market Outlook, By Preventive Health Monitoring (2024-2032) ($MN)
- Table 27 Global AI Pet Diagnostics Market Outlook, By Genetic Screening (2024-2032) ($MN)
- Table 28 Global AI Pet Diagnostics Market Outlook, By Nutrition & Wellness Assessment (2024-2032) ($MN)
- Table 29 Global AI Pet Diagnostics Market Outlook, By End User (2024-2032) ($MN)
- Table 30 Global AI Pet Diagnostics Market Outlook, By Veterinary Hospitals & Clinics (2024-2032) ($MN)
- Table 31 Global AI Pet Diagnostics Market Outlook, By Animal Shelters (2024-2032) ($MN)
- Table 32 Global AI Pet Diagnostics Market Outlook, By Pet Diagnostic Laboratories (2024-2032) ($MN)
- Table 33 Global AI Pet Diagnostics Market Outlook, By Pet Owners (2024-2032) ($MN)
- Table 34 Global AI Pet Diagnostics Market Outlook, By Research Institutes (2024-2032) ($MN)
- Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.
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