Artificial Intelligence (AI) In Animal Health Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, 2018-2028 Segmented By Solutions (Hardware, Software & Services), By Phase (Phase I, Phase II, Phase III, Phase IV), By Application (Diagnostics, Identification, Tracking, and Monitoring, Others), By Type (Companion Animals, Production Animals), By Region, Competition, Forecast and Opportunities, 2028
The Global Artificial Intelligence (AI) in Animal Health Market reached a valuation of USD 901.81 Million in 2022 and is poised for robust growth throughout the forecast period, with a projected Compound Annual Growth Rate (CAGR) of 11.13% by 2028 and is expected to reach at USD 1688.54 Million in 2028. This market has emerged as a dynamic and transformative force within the veterinary and animal healthcare industry. Leveraging cutting-edge technologies, AI is revolutionizing the diagnosis, treatment, and care of animals, resulting in improved animal welfare, enhanced disease management, and more efficient veterinary practices. AI technologies, including machine learning, computer vision, natural language processing, and predictive analytics, are being harnessed to address various challenges in animal health.
One of the significant areas of impact is in the early detection and diagnosis of diseases. AI algorithms can analyze extensive datasets from medical images, such as X-rays and MRIs, and biological samples, identifying subtle patterns and anomalies that may elude human observation. This capability empowers veterinarians to detect diseases like cancer, joint disorders, and infections at earlier stages, enabling prompt intervention and increasing the chances of successful treatment.
Furthermore, AI-driven predictive analytics are revolutionizing animal health management. By analyzing historical health data, genetic information, and environmental factors, AI systems can generate insights and forecasts about potential health risks and disease outbreaks. This proactive approach allows veterinarians and animal health professionals to implement preventive measures, optimize vaccination strategies, and minimize the spread of diseases within animal populations.
Telemedicine and remote monitoring have also witnessed significant advancements through AI integration. Wearable devices and sensors equipped with AI can continuously monitor animals' vital signs, behavior, and activity levels. This real-time data can be transmitted to veterinary professionals, enabling remote tracking of an animal's health status and providing timely interventions when necessary. This is particularly valuable in livestock management, where early detection of illnesses can prevent economic losses and ensure the safety of the food supply chain.
The adoption of AI in animal health has led to streamlined and personalized treatment plans. By analyzing individual animal characteristics, medical history, and treatment outcomes, AI algorithms assist veterinarians in tailoring treatment protocols optimized for each patient. This customization not only enhances treatment efficacy but also minimizes adverse effects and reduces healthcare costs for animal owners.
However, alongside its promises, the AI in Animal Health market faces certain challenges. Data privacy and security concerns, as well as the need for robust and diverse datasets, are critical considerations. Additionally, the integration of AI technologies into established veterinary practices necessitates proper training and education for veterinarians and animal health professionals to ensure effective utilization and optimal outcomes.
In conclusion, the global Artificial Intelligence in Animal Health market is experiencing rapid growth and innovation, reshaping the landscape of veterinary care and animal welfare. AI technologies are enabling early disease detection, predictive analytics, remote monitoring, and personalized treatment plans, all contributing to improved animal health outcomes and more efficient veterinary practices. As the industry continues to evolve, addressing challenges related to data privacy, training, and integration will be essential to fully harness the potential of AI in advancing animal health and well-being.
Key Market Drivers:
1. Early Disease Detection and Diagnosis: AI technologies enable the early identification of health issues in animals, leading to timely intervention and improved treatment outcomes.
2. Predictive Analytics: AI-driven algorithms forecast potential health outcomes, disease risks, and trends for animals, optimizing healthcare strategies and resource allocation.
3. Livestock Management: AI enhances the health, well-being, and productivity of livestock animals through early disease detection and optimized resource management.
Key Market Challenges:
1. Data Privacy and Security Concerns: Protecting sensitive animal health data from breaches and unauthorized access is crucial for ethical and secure AI integration.
2. High Initial Costs: The upfront expenses for acquiring and implementing AI solutions, including hardware, software, and infrastructure, can be a barrier to adoption.
Key Market Trends:
1. Integration of AI in Diagnostic Imaging: AI improves the accuracy and efficiency of veterinary diagnostic imaging, aiding in the identification of abnormalities and diseases in animals.
2. Telemedicine and Remote Monitoring: AI-driven telemedicine and remote monitoring enhance access to veterinary care and provide real-time insights into animal health.
Regional Insights:
In 2022, the North America region dominated the Artificial Intelligence in Animal Health Market, driven by developments in AI algorithms for diagnosing diseases and abnormalities through radiographs, CT scans, and MRI images. This region is expected to continue its growth in the coming years.
In this report, the Global Artificial Intelligence (AI) In Animal Health Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:
Company Profiles: Detailed analysis of the major companies present in the Global Artificial Intelligence (AI) In Animal Health Market.
Available Customizations:
Global Artificial Intelligence (AI) In Animal Health Market report with the given market data, Tech Sci Research offers customizations according to a company's specific needs. The following customization options are available for the report:
Company Information
2. Detailed analysis and profiling of additional market players (up to five).
One of the significant areas of impact is in the early detection and diagnosis of diseases. AI algorithms can analyze extensive datasets from medical images, such as X-rays and MRIs, and biological samples, identifying subtle patterns and anomalies that may elude human observation. This capability empowers veterinarians to detect diseases like cancer, joint disorders, and infections at earlier stages, enabling prompt intervention and increasing the chances of successful treatment.
Furthermore, AI-driven predictive analytics are revolutionizing animal health management. By analyzing historical health data, genetic information, and environmental factors, AI systems can generate insights and forecasts about potential health risks and disease outbreaks. This proactive approach allows veterinarians and animal health professionals to implement preventive measures, optimize vaccination strategies, and minimize the spread of diseases within animal populations.
Telemedicine and remote monitoring have also witnessed significant advancements through AI integration. Wearable devices and sensors equipped with AI can continuously monitor animals' vital signs, behavior, and activity levels. This real-time data can be transmitted to veterinary professionals, enabling remote tracking of an animal's health status and providing timely interventions when necessary. This is particularly valuable in livestock management, where early detection of illnesses can prevent economic losses and ensure the safety of the food supply chain.
The adoption of AI in animal health has led to streamlined and personalized treatment plans. By analyzing individual animal characteristics, medical history, and treatment outcomes, AI algorithms assist veterinarians in tailoring treatment protocols optimized for each patient. This customization not only enhances treatment efficacy but also minimizes adverse effects and reduces healthcare costs for animal owners.
However, alongside its promises, the AI in Animal Health market faces certain challenges. Data privacy and security concerns, as well as the need for robust and diverse datasets, are critical considerations. Additionally, the integration of AI technologies into established veterinary practices necessitates proper training and education for veterinarians and animal health professionals to ensure effective utilization and optimal outcomes.
In conclusion, the global Artificial Intelligence in Animal Health market is experiencing rapid growth and innovation, reshaping the landscape of veterinary care and animal welfare. AI technologies are enabling early disease detection, predictive analytics, remote monitoring, and personalized treatment plans, all contributing to improved animal health outcomes and more efficient veterinary practices. As the industry continues to evolve, addressing challenges related to data privacy, training, and integration will be essential to fully harness the potential of AI in advancing animal health and well-being.
Key Market Drivers:
1. Early Disease Detection and Diagnosis: AI technologies enable the early identification of health issues in animals, leading to timely intervention and improved treatment outcomes.
2. Predictive Analytics: AI-driven algorithms forecast potential health outcomes, disease risks, and trends for animals, optimizing healthcare strategies and resource allocation.
3. Livestock Management: AI enhances the health, well-being, and productivity of livestock animals through early disease detection and optimized resource management.
Key Market Challenges:
1. Data Privacy and Security Concerns: Protecting sensitive animal health data from breaches and unauthorized access is crucial for ethical and secure AI integration.
2. High Initial Costs: The upfront expenses for acquiring and implementing AI solutions, including hardware, software, and infrastructure, can be a barrier to adoption.
Key Market Trends:
1. Integration of AI in Diagnostic Imaging: AI improves the accuracy and efficiency of veterinary diagnostic imaging, aiding in the identification of abnormalities and diseases in animals.
2. Telemedicine and Remote Monitoring: AI-driven telemedicine and remote monitoring enhance access to veterinary care and provide real-time insights into animal health.
Regional Insights:
In 2022, the North America region dominated the Artificial Intelligence in Animal Health Market, driven by developments in AI algorithms for diagnosing diseases and abnormalities through radiographs, CT scans, and MRI images. This region is expected to continue its growth in the coming years.
- Key Market Players
- Zoetis Services LLC
- Merck & Co., Inc.
- Laboratory Corporation of America Holdings
- Heska Corporation
- SignalPET
- VetCT
- Vetology LLC.
- OneCup AI
- Petriage
- ImpriMed, Inc.
In this report, the Global Artificial Intelligence (AI) In Animal Health Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:
- Global Artificial Intelligence (AI) In Animal Health Market, By Modality:
- RNA interference
- Antisense therapy Messenger RNA
- Oligonucleotide
- Non-antisense
- Non-RNAi
- Global Artificial Intelligence (AI) In Animal Health Market, By Phase:
- Phase I
- Phase II
- Phase III
- Phase IV
- Global Artificial Intelligence (AI) In Animal Health Market, By Therapeutic Area:
- Rare Diseases
- Anti-infective
- Anticancer
- Neurological
- Alimentary/Metabolic
- Musculoskeletal
- Cardiovascular Respiratory
- Sensory
- Others
- Global Artificial Intelligence (AI) In Animal Health Market, By Region:
- North America
- United States
- Canada
- Mexico
- Europe
- Germany
- France
- United Kingdom
- Italy
- Spain
- Asia-Pacific
- China
- Japan
- India
- South Korea
- Australia
- Singapore
- South America
- Brazil
- Argentina
- Colombia
- Middle East & Africa
- UAE
- Saudi Arabia
- South Africa
Company Profiles: Detailed analysis of the major companies present in the Global Artificial Intelligence (AI) In Animal Health Market.
Available Customizations:
Global Artificial Intelligence (AI) In Animal Health Market report with the given market data, Tech Sci Research offers customizations according to a company's specific needs. The following customization options are available for the report:
Company Information
2. Detailed analysis and profiling of additional market players (up to five).
1. PRODUCT OVERVIEW
1.1. Market Definition
1.2. Scope of the Market
1.2.1. Markets Covered
1.2.2. Years Considered for Study
1.2.3. Key Market Segmentations
2. RESEARCH METHODOLOGY
2.1. Objective of the Study
2.2. Baseline Methodology
2.3. Key Industry Partners
2.4. Major Association and Secondary Types
2.5. Forecasting Methodology
2.6. Data Triangulation & Validation
2.7. Assumptions and Limitations
3. EXECUTIVE SUMMARY
3.1. Overview of the Market
3.2. Overview of Key Market Segmentations
3.3. Overview of Key Market Players
3.4. Overview of Key Regions/Countries
3.5. Overview of Market Drivers, Challenges, and Trends
4. VOICE OF CUSTOMER
5. GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN ANIMAL HEALTH MARKET OUTLOOK
5.1. Market Size & Forecast
5.1.1. By Value
5.2. Market Share & Forecast
5.2.1. By Solutions (Hardware, Software & Services)
5.2.2. By Application (Diagnostics, Identification, Tracking, and Monitoring, Others)
5.2.3. By Type (Companion Animals, Production Animals)
5.2.4. By Region (North America, Europe, Asia Pacific, South America, Middle East & Africa)
5.2.5. By Company (2022)
5.3. Product Market Map
5.3.1. By Solutions
5.3.2. By Application
5.3.3. By Type
5.3.4. By Region
6. NORTH AMERICA ARTIFICIAL INTELLIGENCE (AI) IN ANIMAL HEALTH MARKET OUTLOOK
6.1. Market Size & Forecast
6.1.1. By Value
6.2. Market Share & Forecast
6.2.1. By Solutions
6.2.2. By Application
6.2.3. By Type
6.2.4. By Country
6.3. North America: Country Analysis
6.3.1. United States Artificial Intelligence (AI) In Animal Health Market Outlook
6.3.1.1. Market Size & Forecast
6.3.1.1.1. By Value
6.3.1.2. Market Share & Forecast
6.3.1.2.1. By Solutions
6.3.1.2.2. By Application
6.3.1.2.3. By Type
6.3.2. Canada Artificial Intelligence (AI) In Animal Health Market Outlook
6.3.2.1. Market Size & Forecast
6.3.2.1.1. By Value
6.3.2.2. Market Share & Forecast
6.3.2.2.1. By Solutions
6.3.2.2.2. By Application
6.3.2.2.3. By Type
6.3.3. Mexico Artificial Intelligence (AI) In Animal Health Market Outlook
6.3.3.1. Market Size & Forecast
6.3.3.1.1. By Value
6.3.3.2. Market Share & Forecast
6.3.3.2.1. By Solutions
6.3.3.2.2. By Application
6.3.3.2.3. By Type
7. EUROPE ARTIFICIAL INTELLIGENCE (AI) IN ANIMAL HEALTH MARKET OUTLOOK
7.1. Market Size & Forecast
7.1.1. By Value
7.2. Market Share & Forecast
7.2.1. By Solutions
7.2.2. By Application
7.2.3. By Type
7.2.4. By Country
7.3. Europe: Country Analysis
7.3.1. Germany Artificial Intelligence (AI) In Animal Health Market Outlook
7.3.1.1. Market Size & Forecast
7.3.1.1.1. By Value
7.3.1.2. Market Share & Forecast
7.3.1.2.1. By Solutions
7.3.1.2.2. By Application
7.3.1.2.3. By Type
7.3.2. France Artificial Intelligence (AI) In Animal Health Market Outlook
7.3.2.1. Market Size & Forecast
7.3.2.1.1. By Value
7.3.2.2. Market Share & Forecast
7.3.2.2.1. By Solutions
7.3.2.2.2. By Application
7.3.2.2.3. By Type
7.3.3. United Kingdom Artificial Intelligence (AI) In Animal Health Market Outlook
7.3.3.1. Market Size & Forecast
7.3.3.1.1. By Value
7.3.3.2. Market Share & Forecast
7.3.3.2.1. By Solutions
7.3.3.2.2. By Application
7.3.3.2.3. By Type
7.3.4. Italy Artificial Intelligence (AI) In Animal Health Market Outlook
7.3.4.1. Market Size & Forecast
7.3.4.1.1. By Value
7.3.4.2. Market Share & Forecast
7.3.4.2.1. By Solutions
7.3.4.2.2. By Application
7.3.4.2.3. By Type
7.3.5. Spain Artificial Intelligence (AI) In Animal Health Market Outlook
7.3.5.1. Market Size & Forecast
7.3.5.1.1. By Value
7.3.5.2. Market Share & Forecast
7.3.5.2.1. By Solutions
7.3.5.2.2. By Application
7.3.5.2.3. By Type
8. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN ANIMAL HEALTH MARKET OUTLOOK
8.1. Market Size & Forecast
8.1.1. By Value
8.2. Market Share & Forecast
8.2.1. By Solutions
8.2.2. By Application
8.2.3. By Type
8.2.4. By Country
8.3. Asia-Pacific: Country Analysis
8.3.1. China Artificial Intelligence (AI) In Animal Health Market Outlook
8.3.1.1. Market Size & Forecast
8.3.1.1.1. By Value
8.3.1.2. Market Share & Forecast
8.3.1.2.1. By Solutions
8.3.1.2.2. By Application
8.3.1.2.3. By Type
8.3.2. Japan Artificial Intelligence (AI) In Animal Health Market Outlook
8.3.2.1. Market Size & Forecast
8.3.2.1.1. By Value
8.3.2.2. Market Share & Forecast
8.3.2.2.1. By Solutions
8.3.2.2.2. By Application
8.3.2.2.3. By Type
8.3.3. India Artificial Intelligence (AI) In Animal Health Market Outlook
8.3.3.1. Market Size & Forecast
8.3.3.1.1. By Value
8.3.3.2. Market Share & Forecast
8.3.3.2.1. By Solutions
8.3.3.2.2. By Application
8.3.3.2.3. By Type
8.3.4. South Korea Artificial Intelligence (AI) In Animal Health Market Outlook
8.3.4.1. Market Size & Forecast
8.3.4.1.1. By Value
8.3.4.2. Market Share & Forecast
8.3.4.2.1. By Solutions
8.3.4.2.2. By Application
8.3.4.2.3. By Type
8.3.5. Australia Artificial Intelligence (AI) In Animal Health Market Outlook
8.3.5.1. Market Size & Forecast
8.3.5.1.1. By Value
8.3.5.2. Market Share & Forecast
8.3.5.2.1. By Solutions
8.3.5.2.2. By Application
8.3.5.2.3. By Type
9. SOUTH AMERICA ARTIFICIAL INTELLIGENCE (AI) IN ANIMAL HEALTH MARKET OUTLOOK
9.1. Market Size & Forecast
9.1.1. By Value
9.2. Market Share & Forecast
9.2.1. By Solutions
9.2.2. By Application
9.2.3. By Type
9.2.4. By Country
9.3. South America: Country Analysis
9.3.1. Brazil Artificial Intelligence (AI) In Animal Health Market Outlook
9.3.1.1. Market Size & Forecast
9.3.1.1.1. By Value
9.3.1.2. Market Share & Forecast
9.3.1.2.1. By Solutions
9.3.1.2.2. By Application
9.3.1.2.3. By Type
9.3.2. Argentina Artificial Intelligence (AI) In Animal Health Market Outlook
9.3.2.1. Market Size & Forecast
9.3.2.1.1. By Value
9.3.2.2. Market Share & Forecast
9.3.2.2.1. By Solutions
9.3.2.2.2. By Application
9.3.2.2.3. By Type
9.3.3. Colombia Artificial Intelligence (AI) In Animal Health Market Outlook
9.3.3.1. Market Size & Forecast
9.3.3.1.1. By Value
9.3.3.2. Market Share & Forecast
9.3.3.2.1. By Solutions
9.3.3.2.2. By Application
9.3.3.2.3. By Type
10. MIDDLE EAST AND AFRICA ARTIFICIAL INTELLIGENCE (AI) IN ANIMAL HEALTH MARKET OUTLOOK
10.1. Market Size & Forecast
10.1.1. By Value
10.2. Market Share & Forecast
10.2.1. By Solutions
10.2.2. By Application
10.2.3. By Type
10.2.4. By Country
10.3. MEA: Country Analysis
10.3.1. UAE Artificial Intelligence (AI) In Animal Health Market Outlook
10.3.1.1. Market Size & Forecast
10.3.1.1.1. By Value
10.3.1.2. Market Share & Forecast
10.3.1.2.1. By Solutions
10.3.1.2.2. By Application
10.3.1.2.3. By Type
10.3.2. Saudi Arabia Artificial Intelligence (AI) In Animal Health Market Outlook
10.3.2.1. Market Size & Forecast
10.3.2.1.1. By Value
10.3.2.2. Market Share & Forecast
10.3.2.2.1. By Solutions
10.3.2.2.2. By Application
10.3.2.2.3. By Type
10.3.3. South Africa Artificial Intelligence (AI) In Animal Health Market Outlook
10.3.3.1. Market Size & Forecast
10.3.3.1.1. By Value
10.3.3.2. Market Share & Forecast
10.3.3.2.1. By Solutions
10.3.3.2.2. By Application
10.3.3.2.3. By Type
11. MARKET DYNAMICS
11.1. Drivers
11.2. Challenges
12. MARKET TRENDS & DEVELOPMENTS
12.1. Merger & Acquisition
12.2. Product Development
12.3. Recent Developments
13. COMPETITIVE LANDSCAPE
13.1. Business Overview
13.2. Company Snapshot
13.3. Products & Services
13.4. Financials (As Reported)
13.5. Recent Developments
13.5.1. Zoetis Services LLC
13.5.2. Merck & Co., Inc.
13.5.3. Laboratory Corporation of America Holdings
13.5.4. Heska Corporation
13.5.5. SignalPET
13.5.6. VetCT
13.5.7. Vetology LLC.
13.5.8. OneCup AI
13.5.9. Petriage
13.5.10. ImpriMed, Inc.
14. STRATEGIC RECOMMENDATIONS
1.1. Market Definition
1.2. Scope of the Market
1.2.1. Markets Covered
1.2.2. Years Considered for Study
1.2.3. Key Market Segmentations
2. RESEARCH METHODOLOGY
2.1. Objective of the Study
2.2. Baseline Methodology
2.3. Key Industry Partners
2.4. Major Association and Secondary Types
2.5. Forecasting Methodology
2.6. Data Triangulation & Validation
2.7. Assumptions and Limitations
3. EXECUTIVE SUMMARY
3.1. Overview of the Market
3.2. Overview of Key Market Segmentations
3.3. Overview of Key Market Players
3.4. Overview of Key Regions/Countries
3.5. Overview of Market Drivers, Challenges, and Trends
4. VOICE OF CUSTOMER
5. GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN ANIMAL HEALTH MARKET OUTLOOK
5.1. Market Size & Forecast
5.1.1. By Value
5.2. Market Share & Forecast
5.2.1. By Solutions (Hardware, Software & Services)
5.2.2. By Application (Diagnostics, Identification, Tracking, and Monitoring, Others)
5.2.3. By Type (Companion Animals, Production Animals)
5.2.4. By Region (North America, Europe, Asia Pacific, South America, Middle East & Africa)
5.2.5. By Company (2022)
5.3. Product Market Map
5.3.1. By Solutions
5.3.2. By Application
5.3.3. By Type
5.3.4. By Region
6. NORTH AMERICA ARTIFICIAL INTELLIGENCE (AI) IN ANIMAL HEALTH MARKET OUTLOOK
6.1. Market Size & Forecast
6.1.1. By Value
6.2. Market Share & Forecast
6.2.1. By Solutions
6.2.2. By Application
6.2.3. By Type
6.2.4. By Country
6.3. North America: Country Analysis
6.3.1. United States Artificial Intelligence (AI) In Animal Health Market Outlook
6.3.1.1. Market Size & Forecast
6.3.1.1.1. By Value
6.3.1.2. Market Share & Forecast
6.3.1.2.1. By Solutions
6.3.1.2.2. By Application
6.3.1.2.3. By Type
6.3.2. Canada Artificial Intelligence (AI) In Animal Health Market Outlook
6.3.2.1. Market Size & Forecast
6.3.2.1.1. By Value
6.3.2.2. Market Share & Forecast
6.3.2.2.1. By Solutions
6.3.2.2.2. By Application
6.3.2.2.3. By Type
6.3.3. Mexico Artificial Intelligence (AI) In Animal Health Market Outlook
6.3.3.1. Market Size & Forecast
6.3.3.1.1. By Value
6.3.3.2. Market Share & Forecast
6.3.3.2.1. By Solutions
6.3.3.2.2. By Application
6.3.3.2.3. By Type
7. EUROPE ARTIFICIAL INTELLIGENCE (AI) IN ANIMAL HEALTH MARKET OUTLOOK
7.1. Market Size & Forecast
7.1.1. By Value
7.2. Market Share & Forecast
7.2.1. By Solutions
7.2.2. By Application
7.2.3. By Type
7.2.4. By Country
7.3. Europe: Country Analysis
7.3.1. Germany Artificial Intelligence (AI) In Animal Health Market Outlook
7.3.1.1. Market Size & Forecast
7.3.1.1.1. By Value
7.3.1.2. Market Share & Forecast
7.3.1.2.1. By Solutions
7.3.1.2.2. By Application
7.3.1.2.3. By Type
7.3.2. France Artificial Intelligence (AI) In Animal Health Market Outlook
7.3.2.1. Market Size & Forecast
7.3.2.1.1. By Value
7.3.2.2. Market Share & Forecast
7.3.2.2.1. By Solutions
7.3.2.2.2. By Application
7.3.2.2.3. By Type
7.3.3. United Kingdom Artificial Intelligence (AI) In Animal Health Market Outlook
7.3.3.1. Market Size & Forecast
7.3.3.1.1. By Value
7.3.3.2. Market Share & Forecast
7.3.3.2.1. By Solutions
7.3.3.2.2. By Application
7.3.3.2.3. By Type
7.3.4. Italy Artificial Intelligence (AI) In Animal Health Market Outlook
7.3.4.1. Market Size & Forecast
7.3.4.1.1. By Value
7.3.4.2. Market Share & Forecast
7.3.4.2.1. By Solutions
7.3.4.2.2. By Application
7.3.4.2.3. By Type
7.3.5. Spain Artificial Intelligence (AI) In Animal Health Market Outlook
7.3.5.1. Market Size & Forecast
7.3.5.1.1. By Value
7.3.5.2. Market Share & Forecast
7.3.5.2.1. By Solutions
7.3.5.2.2. By Application
7.3.5.2.3. By Type
8. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN ANIMAL HEALTH MARKET OUTLOOK
8.1. Market Size & Forecast
8.1.1. By Value
8.2. Market Share & Forecast
8.2.1. By Solutions
8.2.2. By Application
8.2.3. By Type
8.2.4. By Country
8.3. Asia-Pacific: Country Analysis
8.3.1. China Artificial Intelligence (AI) In Animal Health Market Outlook
8.3.1.1. Market Size & Forecast
8.3.1.1.1. By Value
8.3.1.2. Market Share & Forecast
8.3.1.2.1. By Solutions
8.3.1.2.2. By Application
8.3.1.2.3. By Type
8.3.2. Japan Artificial Intelligence (AI) In Animal Health Market Outlook
8.3.2.1. Market Size & Forecast
8.3.2.1.1. By Value
8.3.2.2. Market Share & Forecast
8.3.2.2.1. By Solutions
8.3.2.2.2. By Application
8.3.2.2.3. By Type
8.3.3. India Artificial Intelligence (AI) In Animal Health Market Outlook
8.3.3.1. Market Size & Forecast
8.3.3.1.1. By Value
8.3.3.2. Market Share & Forecast
8.3.3.2.1. By Solutions
8.3.3.2.2. By Application
8.3.3.2.3. By Type
8.3.4. South Korea Artificial Intelligence (AI) In Animal Health Market Outlook
8.3.4.1. Market Size & Forecast
8.3.4.1.1. By Value
8.3.4.2. Market Share & Forecast
8.3.4.2.1. By Solutions
8.3.4.2.2. By Application
8.3.4.2.3. By Type
8.3.5. Australia Artificial Intelligence (AI) In Animal Health Market Outlook
8.3.5.1. Market Size & Forecast
8.3.5.1.1. By Value
8.3.5.2. Market Share & Forecast
8.3.5.2.1. By Solutions
8.3.5.2.2. By Application
8.3.5.2.3. By Type
9. SOUTH AMERICA ARTIFICIAL INTELLIGENCE (AI) IN ANIMAL HEALTH MARKET OUTLOOK
9.1. Market Size & Forecast
9.1.1. By Value
9.2. Market Share & Forecast
9.2.1. By Solutions
9.2.2. By Application
9.2.3. By Type
9.2.4. By Country
9.3. South America: Country Analysis
9.3.1. Brazil Artificial Intelligence (AI) In Animal Health Market Outlook
9.3.1.1. Market Size & Forecast
9.3.1.1.1. By Value
9.3.1.2. Market Share & Forecast
9.3.1.2.1. By Solutions
9.3.1.2.2. By Application
9.3.1.2.3. By Type
9.3.2. Argentina Artificial Intelligence (AI) In Animal Health Market Outlook
9.3.2.1. Market Size & Forecast
9.3.2.1.1. By Value
9.3.2.2. Market Share & Forecast
9.3.2.2.1. By Solutions
9.3.2.2.2. By Application
9.3.2.2.3. By Type
9.3.3. Colombia Artificial Intelligence (AI) In Animal Health Market Outlook
9.3.3.1. Market Size & Forecast
9.3.3.1.1. By Value
9.3.3.2. Market Share & Forecast
9.3.3.2.1. By Solutions
9.3.3.2.2. By Application
9.3.3.2.3. By Type
10. MIDDLE EAST AND AFRICA ARTIFICIAL INTELLIGENCE (AI) IN ANIMAL HEALTH MARKET OUTLOOK
10.1. Market Size & Forecast
10.1.1. By Value
10.2. Market Share & Forecast
10.2.1. By Solutions
10.2.2. By Application
10.2.3. By Type
10.2.4. By Country
10.3. MEA: Country Analysis
10.3.1. UAE Artificial Intelligence (AI) In Animal Health Market Outlook
10.3.1.1. Market Size & Forecast
10.3.1.1.1. By Value
10.3.1.2. Market Share & Forecast
10.3.1.2.1. By Solutions
10.3.1.2.2. By Application
10.3.1.2.3. By Type
10.3.2. Saudi Arabia Artificial Intelligence (AI) In Animal Health Market Outlook
10.3.2.1. Market Size & Forecast
10.3.2.1.1. By Value
10.3.2.2. Market Share & Forecast
10.3.2.2.1. By Solutions
10.3.2.2.2. By Application
10.3.2.2.3. By Type
10.3.3. South Africa Artificial Intelligence (AI) In Animal Health Market Outlook
10.3.3.1. Market Size & Forecast
10.3.3.1.1. By Value
10.3.3.2. Market Share & Forecast
10.3.3.2.1. By Solutions
10.3.3.2.2. By Application
10.3.3.2.3. By Type
11. MARKET DYNAMICS
11.1. Drivers
11.2. Challenges
12. MARKET TRENDS & DEVELOPMENTS
12.1. Merger & Acquisition
12.2. Product Development
12.3. Recent Developments
13. COMPETITIVE LANDSCAPE
13.1. Business Overview
13.2. Company Snapshot
13.3. Products & Services
13.4. Financials (As Reported)
13.5. Recent Developments
13.5.1. Zoetis Services LLC
13.5.2. Merck & Co., Inc.
13.5.3. Laboratory Corporation of America Holdings
13.5.4. Heska Corporation
13.5.5. SignalPET
13.5.6. VetCT
13.5.7. Vetology LLC.
13.5.8. OneCup AI
13.5.9. Petriage
13.5.10. ImpriMed, Inc.
14. STRATEGIC RECOMMENDATIONS
