The Artificial Intelligence In Animal Health Market was valued at USD 1.28 billion in 2023 and is expected to reach USD 7.06 billion by 2032, growing at a CAGR of 20.94% over the forecast period 2024-2032. More veterinary practices are embracing the role of artificial intelligence as these technologies improve diagnostic specificity, sensitivity, and treatment protocols. Artificial intelligence-based diagnostics are emerging as the next frontier in early detection of diseases and enabling rapid treatments. Artificial intelligence or AI is used to speed up drug development by discovering new technologies for animal treatment and prescription. Healthcare spending in the animal health sector is growing, and so is the investment in AI-driven solutions, leading to more intelligent, data-driven decisions. This is accelerating the uptake of AI applications in companion and production animal health management.
Key Drivers:
Driving Animal Health Innovation with AI Enhancing Care Productivity and Sustainability in Farming Practices
The growing demand for these technologies, which increases animal care and productivity, is the primary driver of the animal health artificial intelligence (AI) market. These solutions utilize AI to periodically monitor and diagnose diseases, optimize feed schedules, track animal behavior, and maintain proper health management. In addition, the growing adoption of AI-based tools, such as predictive analytics and machine learning, allows the accurate detection of diseases instantly and reduces the requirement of manual labor, thus making it a more efficient process. Moreover, the increasing importance of animal welfare and the demand for sustainable farming practices are driving the need for AI adoption to track health parameters and lower medication expenses.
Restrain:
Overcoming Awareness Gaps and Interoperability Challenges to Accelerate AI Adoption in Animal Health
The crucial factor that is supporting the restraint in the growth of AI in the animal health market is the poor awareness and technical know-how, particularly in rural and underdeveloped regions. This has prevented a widespread deployment of AI technologies by farmers and veterinarians, while many farmers and veterinarians remain with little knowledge of AI technologies. The gap of complete understanding will hinder the initial mass adoption of AI because, without proper training, users will be reluctant to put their trust and money in technology they may not understand. Moreover, the interoperability of AI tools with existing veterinary practice systems and equipment could be cumbersome and require sustained time and resources for seamless implementation.
Opportunity:
Unlocking Opportunities in AI for Animal Health to Enhance Care and Boost Market Growth
AI is still developing and entering veterinary and farm management, and there are a lot of opportunities in this market. AI-driven tools to predict outbreaks, monitor herd health, manage veterinary records and more could all be implemented for more precise care. And, the rising need for high-quality disease-free meat and dairy products delivers a booming environment for AI to optimize breeding and nutrition. Emerging markets are likely to offer strong market growth as farmers and veterinarians strive to increase output and profit. Such innovations provide tremendous opportunities for animal health AI technology service providers.
Challenges:
Addressing Ethical and Regulatory Challenges for AI Integration in Animal Health and Veterinary Practices
The other hurdle is the ethics and regulation of AI in animal health. With AI increasingly having an eye on animal behavior and health, the same issues of data privacy and animal welfare come to the fore. Establishing clear and comprehensive regulatory frameworks is the first step towards the use of artificial intelligence in our veterinary healthcare delivery systems, ideally without compromising either the animal or the human, but strictly maintaining the animal, behavioral, human & data-ethical aspects within a good balance. In a few areas, expert bodies are settling on strategies to order AI in veterinary practices. Such ambiguity can impede the expansion of the market as organizations may hesitate to make investments in regions with bewildered laws or where there is opposition against new-age diagnostics in animals.
By Solutions
In 2023, the hardware segment held a larger share of the artificial intelligence in the animal health market, at 56.4%. The number one growth contributor in this space is the extensive deployment of AI-enabled devices: from sensors to wearables and diagnostic machinery, and can track animal behavior health and environmental-related sensors as they all cross-communicate. These devices are critical for obtaining real-time data for disease diagnosis and management.
It is expected that software and services will grow with the fastest CAGR from 2024 to 2032. Such growth can be attributed to ever-evolving AI algorithms, machine learning, and predictive analytics that are allowing for better and faster management of animal health. Additionally, the growing inclination towards cloud-based platforms and AI-enabled applications to process and leverage data for effective decision-making accelerates the growth of the software and services segment due to the increasing need for smarter and more integrated animal health solutions.
By Application
Artificial intelligence in the animal health market was dominated by the diagnostics segment in 2023. The growth of this segment is attributed to the growing use of AI-based diagnostic tools that help in early disease detection in animals. AI imaging systems and disease monitoring tools, to name a few, these devices improve precision, reduce human errors, and elevate the standard of veterinary care. Fast and accurate diagnostics of health problems in agricultural and companion animals is, of course, necessary for fast interventions and consequently can result in better outcomes.
The "other" segment, which includes AI applications in areas like behavior analysis, feed optimization, and genetic selection, is projected to grow at the highest CAGR from 2024 to 2032Innovations in AI are driving this growth, broadening the application of AI beyond the diagnostic niche and providing solutions that help the animal health industry improve animal welfare, increase productivity, and streamline breeding processes.
By Animal
In 2023, the companion animal segment accounted for the largest share. The growing emphasis on pet health and wellness drove this dominance, with artificial intelligence technologies being widely utilized for diagnostic, behavior, and health-monitoring applications. Tools powered by AI are utilizing companion animal care and health and wellness tracking, leaving a continuous record of vitals and habits, and facilitating early disease detection to add new dimensions of care for pets and more effectively assist veterinary professionals.
From 2024 to 2032, the highest CAGR is expected to be achieved by the production animal segment. It is driven by the demand for sustainable and effective livestock management. AI applications for disease monitoring, feeding, and reproduction management in production animals are likely to make tremendous gains in productivity, cost, and animal health at the population scale. This will be an ever-expanding segment due to the increasing global requirement for food.
North America held the largest share of the global artificial intelligence in animal health marketing in 2023 owing to technological advancement, huge investment in research and development, and the presence of major players in the region. In the USA and Canada, AI technologies in veterinary applications have found early pathways with many AI-centric startups and collaborations among tech firms and veterinary institutions. Some companies, such as PetPace in the USA, offer AI-based smart collars for pets that check vital signs and health metrics in real-time. AI is also extensively utilized in livestock health management such as disease detection and breeding enhancement across the region.
The region that is expected to have the highest CAGR during the forecast period from 2024 to 2032 is the Asia Pacific owing to the growing demand for animal health solutions from countries such as China and India, which are rapidly emerging markets. One contributing factor to this growth is the rapid urbanization of the region, a rising livestock population, as well as increased awareness of animal welfare. Zoetis, one of the foremost global animal health companies, worked with Chinese technology firms to develop artificial intelligence-based solutions for disease monitoring in livestock. Likewise, AI-based tools for pet care are on the rise across Japan, Such as Furbo for pet monitoring and safety.
Some of the major players in the Artificial Intelligence In Animal Health Market are:
Zoetis (Smartbow Ear Tag)
Merck Animal Health (Wisdom Panel)
Boehringer Ingelheim (IngenuityAI)
Elanco Animal Health (Assurance)
Vetoquinol (VetConnect Plus)
Cargill Animal Nutrition (Probiotics with AI Integration)
BASF (Digital Farming Solutions)
DeLaval (OptiDairy)
Agri-Tech East (AI-based Livestock Monitoring System)
Lely (Lely Horizon)
Pedigree (AI-based Genetic Analysis)
Vets First Choice (Veterinary Practice Management Software with AI)
Idexx Laboratories (IDEXX VetLab Station)
Biocontrol (Biological Pest Control with AI)
Hendrix Genetics (Smart Breeding Solutions)
In September 2024, Zoetis launched the Vetscan OptiCell™, the first cartridge-based AI-powered hematology analyzer for veterinary use, offering lab-quality CBC analysis at the point of care.
| Report Attributes | Details |
|---|---|
| Market Size in 2023 | USD 1.28 Billion |
| Market Size by 2032 | USD 7.06 Billion |
| CAGR | CAGR of 20.94% From 2024 to 2032 |
| Base Year | 2023 |
| Forecast Period | 2024-2032 |
| Historical Data | 2020-2022 |
| Report Scope & Coverage | Market Size, Segments Analysis, Competitive Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook |
| Key Segments | • By Solutions (Hardware, Software & Services) • By Application (Diagnostics, Identification, Tracking, and Monitoring, Others) • By Animal (Companion Animals, Production Animals) |
| Regional Analysis/Coverage | North America (US, Canada, Mexico), Europe (Eastern Europe [Poland, Romania, Hungary, Turkey, Rest of Eastern Europe] Western Europe] Germany, France, UK, Italy, Spain, Netherlands, Switzerland, Austria, Rest of Western Europe]), Asia Pacific (China, India, Japan, South Korea, Vietnam, Singapore, Australia, Rest of Asia Pacific), Middle East & Africa (Middle East [UAE, Egypt, Saudi Arabia, Qatar, Rest of Middle East], Africa [Nigeria, South Africa, Rest of Africa], Latin America (Brazil, Argentina, Colombia, Rest of Latin America) |
| Company Profiles | Zoetis, Merck Animal Health, Boehringer Ingelheim, Elanco Animal Health, Vetoquinol, Cargill Animal Nutrition, BASF, DeLaval, Agri-Tech East, Lely, Pedigree, Vets First Choice, Idexx Laboratories, Biocontrol, Hendrix Genetics. |
Ans: The Artificial Intelligence In Animal Health Market is expected to grow at a CAGR of 20.94% during 2024-2032.
Ans: Artificial Intelligence In Animal Health Market size was USD 1.28 billion in 2023 and is expected to Reach USD 7.06 billion by 2032.
Ans: The major growth factor of Artificial Intelligence in the Animal Health market is the increasing demand for advanced disease detection, prevention, and treatment solutions for livestock and pets.
Ans: North America dominated the Artificial Intelligence In Animal Health Market in 2023.
Ans: The Hardware segment dominated the Artificial Intelligence In Animal Health Market in 2023.
Table of content
1. Introduction
1.1 Market Definition
1.2 Scope (Inclusion and Exclusions)
1.3 Research & Academic Institutes Assumptions
2. Executive Summary
2.1 Market Overview
2.2 Regional Synopsis
2.3 Competitive Summary
3. Research & Academic Institutes Methodology
3.1 Top-Down Approach
3.2 Bottom-up Approach
3.3. Data Validation
3.4 Primary Interviews
4. Market Dynamics Impact Analysis
4.1 Market Driving Factors Analysis
4.1.1 Drivers
4.1.2 Restraints
4.1.3 Opportunities
4.1.4 Challenges
4.2 PESTLE Analysis
4.3 Porter’s Five Forces Model
5. Statistical Insights and Trends Reporting
5.1 Adoption Rate of AI in Veterinary Practices (2023)
5.2 AI-Powered Diagnostics and Disease Detection Trends (2023-Present)
5.3 AI-Based Prescription and Drug Development Trends (2023)
5.4 Healthcare Spending on AI in Animal Health, by Region (2023)
6. Competitive Landscape
6.1 List of Major Companies, By Region
6.2 Market Share Analysis, By Region
6.3 Product Benchmarking
6.3.1 Product specifications and features
6.3.2 Pricing
6.4 Strategic Initiatives
6.4.1 Marketing and Promotional Activities
6.4.2 Distribution and Supply Chain Strategies
6.4.3 Expansion plans and new Product launches
6.4.4 Strategic partnerships and collaborations
6.5 Technological Advancements
6.6 Market Positioning and Branding
7. Artificial Intelligence In Animal Health Market Segmentation, by Solutions
7.1 Chapter Overview
7.2 Hardware
7.2.1 Hardware Market Trends Analysis (2020-2032)
7.2.2 Hardware Market Size Estimates and Forecasts to 2032 (USD Million)
7.3 Software & Services
7.3.1 Software & Services Market Trends Analysis (2020-2032)
7.3.2 Software & Services Market Size Estimates and Forecasts to 2032 (USD Million)
8. Artificial Intelligence In Animal Health Market Segmentation, by Application
8.1 Chapter Overview
8.2 Diagnostics
8.2.1 Diagnostics Market Trends Analysis (2020-2032)
8.2.2 Diagnostics Market Size Estimates and Forecasts to 2032 (USD Million)
8.3 Identification, Tracking, and Monitoring
8.3.1 Identification, Tracking, and Monitoring Market Trends Analysis (2020-2032)
8.3.2 Identification, Tracking, and Monitoring Market Size Estimates and Forecasts to 2032 (USD Million)
8.4 Others
8.4.1 Others Market Trends Analysis (2020-2032)
8.4.2 Others Market Size Estimates and Forecasts to 2032 (USD Million)
9. Artificial Intelligence In Animal Health Market Segmentation, by Animal
9.1 Chapter Overview
9.2 Companion Animals
9.2.1 Companion Animals Market Trends Analysis (2020-2032)
9.2.2 Companion Animals Market Size Estimates and Forecasts to 2032 (USD Million)
9.3 Production Animals
9.3.1 Production Animals Market Trends Analysis (2020-2032)
9.3.2 Production Animals Market Size Estimates and Forecasts to 2032 (USD Million)
10. Regional Analysis
10.1 Chapter Overview
10.2 North America
10.2.1 Trends Analysis
10.2.2 North America Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Country (2020-2032) (USD Million)
10.2.3 North America Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Solutions (2020-2032) (USD Million)
10.2.4 North America Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.2.5 North America Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Animal (2020-2032) (USD Million)
10.2.6 USA
10.2.6.1 USA Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Solutions (2020-2032) (USD Million)
10.2.6.2 USA Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.2.6.3 USA Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Animal (2020-2032) (USD Million)
10.2.7 Canada
10.2.7.1 Canada Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Solutions (2020-2032) (USD Million)
10.2.7.2 Canada Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.2.7.3 Canada Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Animal (2020-2032) (USD Million)
10.2.8 Mexico
10.2.8.1 Mexico Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Solutions (2020-2032) (USD Million)
10.2.8.2 Mexico Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.2.8.3 Mexico Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Animal (2020-2032) (USD Million)
10.3 Europe
10.3.1 Eastern Europe
10.3.1.1 Trends Analysis
10.3.1.2 Eastern Europe Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Country (2020-2032) (USD Million)
10.3.1.3 Eastern Europe Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Solutions (2020-2032) (USD Million)
10.3.1.4 Eastern Europe Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.3.1.5 Eastern Europe Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Animal (2020-2032) (USD Million)
10.3.1.6 Poland
10.3.1.6.1 Poland Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Solutions (2020-2032) (USD Million)
10.3.1.6.2 Poland Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.3.1.6.3 Poland Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Animal (2020-2032) (USD Million)
10.3.1.7 Romania
10.3.1.7.1 Romania Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Solutions (2020-2032) (USD Million)
10.3.1.7.2 Romania Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.3.1.7.3 Romania Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Animal (2020-2032) (USD Million)
10.3.1.8 Hungary
10.3.1.8.1 Hungary Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Solutions (2020-2032) (USD Million)
10.3.1.8.2 Hungary Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.3.1.8.3 Hungary Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Animal (2020-2032) (USD Million)
10.3.1.9 turkey
10.3.1.9.1 Turkey Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Solutions (2020-2032) (USD Million)
10.3.1.9.2 Turkey Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.3.1.9.3 Turkey Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Animal (2020-2032) (USD Million)
10.3.1.10 Rest of Eastern Europe
10.3.1.10.1 Rest of Eastern Europe Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Solutions (2020-2032) (USD Million)
10.3.1.10.2 Rest of Eastern Europe Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.3.1.10.3 Rest of Eastern Europe Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Animal (2020-2032) (USD Million)
10.3.2 Western Europe
10.3.2.1 Trends Analysis
10.3.2.2 Western Europe Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Country (2020-2032) (USD Million)
10.3.2.3 Western Europe Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Solutions (2020-2032) (USD Million)
10.3.2.4 Western Europe Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.3.2.5 Western Europe Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Animal (2020-2032) (USD Million)
10.3.2.6 Germany
10.3.2.6.1 Germany Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Solutions (2020-2032) (USD Million)
10.3.2.6.2 Germany Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.3.2.6.3 Germany Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Animal (2020-2032) (USD Million)
10.3.2.7 France
10.3.2.7.1 France Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Solutions (2020-2032) (USD Million)
10.3.2.7.2 France Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.3.2.7.3 France Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Animal (2020-2032) (USD Million)
10.3.2.8 UK
10.3.2.8.1 UK Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Solutions (2020-2032) (USD Million)
10.3.2.8.2 UK Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.3.2.8.3 UK Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Animal (2020-2032) (USD Million)
10.3.2.9 Italy
10.3.2.9.1 Italy Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Solutions (2020-2032) (USD Million)
10.3.2.9.2 Italy Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.3.2.9.3 Italy Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Animal (2020-2032) (USD Million)
10.3.2.10 Spain
10.3.2.10.1 Spain Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Solutions (2020-2032) (USD Million)
10.3.2.10.2 Spain Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.3.2.10.3 Spain Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Animal (2020-2032) (USD Million)
10.3.2.11 Netherlands
10.3.2.11.1 Netherlands Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Solutions (2020-2032) (USD Million)
10.3.2.11.2 Netherlands Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.3.2.11.3 Netherlands Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Animal (2020-2032) (USD Million)
10.3.2.12 Switzerland
10.3.2.12.1 Switzerland Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Solutions (2020-2032) (USD Million)
10.3.2.12.2 Switzerland Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.3.2.12.3 Switzerland Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Animal (2020-2032) (USD Million)
10.3.2.13 Austria
10.3.2.13.1 Austria Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Solutions (2020-2032) (USD Million)
10.3.2.13.2 Austria Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.3.2.13.3 Austria Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Animal (2020-2032) (USD Million)
10.3.2.14 Rest of Western Europe
10.3.2.14.1 Rest of Western Europe Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Solutions (2020-2032) (USD Million)
10.3.2.14.2 Rest of Western Europe Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.3.2.14.3 Rest of Western Europe Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Animal (2020-2032) (USD Million)
10.4 Asia Pacific
10.4.1 Trends Analysis
10.4.2 Asia Pacific Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Country (2020-2032) (USD Million)
10.4.3 Asia Pacific Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Solutions (2020-2032) (USD Million)
10.4.4 Asia Pacific Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.4.5 Asia Pacific Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Animal (2020-2032) (USD Million)
10.4.6 China
10.4.6.1 China Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Solutions (2020-2032) (USD Million)
10.4.6.2 China Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.4.6.3 China Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Animal (2020-2032) (USD Million)
10.4.7 India
10.4.7.1 India Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Solutions (2020-2032) (USD Million)
10.4.7.2 India Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.4.7.3 India Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Animal (2020-2032) (USD Million)
10.4.8 Japan
10.4.8.1 Japan Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Solutions (2020-2032) (USD Million)
10.4.8.2 Japan Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.4.8.3 Japan Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Animal (2020-2032) (USD Million)
10.4.9 South Korea
10.4.9.1 South Korea Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Solutions (2020-2032) (USD Million)
10.4.9.2 South Korea Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.4.9.3 South Korea Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Animal (2020-2032) (USD Million)
10.4.10 Vietnam
10.4.10.1 Vietnam Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Solutions (2020-2032) (USD Million)
10.4.10.2 Vietnam Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.4.10.3 Vietnam Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Animal (2020-2032) (USD Million)
10.4.11 Singapore
10.4.11.1 Singapore Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Solutions (2020-2032) (USD Million)
10.4.11.2 Singapore Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.4.11.3 Singapore Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Animal (2020-2032) (USD Million)
10.4.12 Australia
10.4.12.1 Australia Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Solutions (2020-2032) (USD Million)
10.4.12.2 Australia Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.4.12.3 Australia Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Animal (2020-2032) (USD Million)
10.4.13 Rest of Asia Pacific
10.4.13.1 Rest of Asia Pacific Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Solutions (2020-2032) (USD Million)
10.4.13.2 Rest of Asia Pacific Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.4.13.3 Rest of Asia Pacific Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Animal (2020-2032) (USD Million)
10.5 Middle East and Africa
10.5.1 Middle East
10.5.1.1 Trends Analysis
10.5.1.2 Middle East Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Country (2020-2032) (USD Million)
10.5.1.3 Middle East Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Solutions (2020-2032) (USD Million)
10.5.1.4 Middle East Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.5.1.5 Middle East Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Animal (2020-2032) (USD Million)
10.5.1.6 UAE
10.5.1.6.1 UAE Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Solutions (2020-2032) (USD Million)
10.5.1.6.2 UAE Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.5.1.6.3 UAE Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Animal (2020-2032) (USD Million)
10.5.1.7 Egypt
10.5.1.7.1 Egypt Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Solutions (2020-2032) (USD Million)
10.5.1.7.2 Egypt Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.5.1.7.3 Egypt Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Animal (2020-2032) (USD Million)
10.5.1.8 Saudi Arabia
10.5.1.8.1 Saudi Arabia Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Solutions (2020-2032) (USD Million)
10.5.1.8.2 Saudi Arabia Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.5.1.8.3 Saudi Arabia Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Animal (2020-2032) (USD Million)
10.5.1.9 Qatar
10.5.1.9.1 Qatar Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Solutions (2020-2032) (USD Million)
10.5.1.9.2 Qatar Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.5.1.9.3 Qatar Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Animal (2020-2032) (USD Million)
10.5.1.10 Rest of Middle East
10.5.1.10.1 Rest of Middle East Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Solutions (2020-2032) (USD Million)
10.5.1.10.2 Rest of Middle East Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.5.1.10.3 Rest of Middle East Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Animal (2020-2032) (USD Million)
10.5.2 Africa
10.5.2.1 Trends Analysis
10.5.2.2 Africa Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Country (2020-2032) (USD Million)
10.5.2.3 Africa Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Solutions (2020-2032) (USD Million)
10.5.2.4 Africa Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.5.2.5 Africa Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Animal (2020-2032) (USD Million)
10.5.2.6 South Africa
10.5.2.6.1 South Africa Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Solutions (2020-2032) (USD Million)
10.5.2.6.2 South Africa Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.5.2.6.3 South Africa Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Animal (2020-2032) (USD Million)
10.5.2.7 Nigeria
10.5.2.7.1 Nigeria Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Solutions (2020-2032) (USD Million)
10.5.2.7.2 Nigeria Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.5.2.7.3 Nigeria Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Animal (2020-2032) (USD Million)
10.5.2.8 Rest of Africa
10.5.2.8.1 Rest of Africa Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Solutions (2020-2032) (USD Million)
10.5.2.8.2 Rest of Africa Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.5.2.8.3 Rest of Africa Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Animal (2020-2032) (USD Million)
10.6 Latin America
10.6.1 Trends Analysis
10.6.2 Latin America Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Country (2020-2032) (USD Million)
10.6.3 Latin America Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Solutions (2020-2032) (USD Million)
10.6.4 Latin America Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.6.5 Latin America Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Animal (2020-2032) (USD Million)
10.6.6 Brazil
10.6.6.1 Brazil Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Solutions (2020-2032) (USD Million)
10.6.6.2 Brazil Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.6.6.3 Brazil Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Animal (2020-2032) (USD Million)
10.6.7 Argentina
10.6.7.1 Argentina Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Solutions (2020-2032) (USD Million)
10.6.7.2 Argentina Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.6.7.3 Argentina Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Animal (2020-2032) (USD Million)
10.6.8 Colombia
10.6.8.1 Colombia Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Solutions (2020-2032) (USD Million)
10.6.8.2 Colombia Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.6.8.3 Colombia Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Animal (2020-2032) (USD Million)
10.6.9 Rest of Latin America
10.6.9.1 Rest of Latin America Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Solutions (2020-2032) (USD Million)
10.6.9.2 Rest of Latin America Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.6.9.3 Rest of Latin America Artificial Intelligence In Animal Health Market Estimates and Forecasts, by Animal (2020-2032) (USD Million)
11. Company Profiles
11.1 Zoetis
11.1.1 Company Overview
11.1.2 Financial
11.1.3 Product / Services Offered
11.1.4 SWOT Analysis
11.2 Merck Animal Health
11.2.1 Company Overview
11.2.2 Financial
11.2.3 Product / Services Offered
11.2.4 SWOT Analysis
11.3 Boehringer Ingelheim
11.3.1 Company Overview
11.3.2 Financial
11.3.3 Product / Services Offered
11.3.4 SWOT Analysis
11.4 Elanco Animal Health
11.4.1 Company Overview
11.4.2 Financial
11.4.3 Product / Services Offered
11.4.4 SWOT Analysis
11.5 Vetoquinol
11.5.1 Company Overview
11.5.2 Financial
11.5.3 Product / Services Offered
11.5.4 SWOT Analysis
11.6 Cargill Animal Nutrition
11.6.1 Company Overview
11.6.2 Financial
11.6.3 Product / Services Offered
11.6.4 SWOT Analysis
11.7 BASF
11.7.1 Company Overview
11.7.2 Financial
11.7.3 Product / Services Offered
11.7.4 SWOT Analysis
11.8 DeLaval
11.8.1 Company Overview
11.8.2 Financial
11.8.3 Product / Services Offered
11.8.4 SWOT Analysis
11.9 Agri-Tech East
11.9.1 Company Overview
11.9.2 Financial
11.9.3 Product / Services Offered
11.9.4 SWOT Analysis
11.10 Lely
11.10.1 Company Overview
11.10.2 Financial
11.10.3 Product / Services Offered
11.10.4 SWOT Analysis
12. Use Cases and Best Practices
13. Conc
An accurate research report requires proper strategizing as well as implementation. There are multiple factors involved in the completion of good and accurate research report and selecting the best methodology to compete the research is the toughest part. Since the research reports we provide play a crucial role in any company’s decision-making process, therefore we at SNS Insider always believe that we should choose the best method which gives us results closer to reality. This allows us to reach at a stage wherein we can provide our clients best and accurate investment to output ratio.
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The 5 steps process:
Step 1: Secondary Research:
Secondary Research or Desk Research is as the name suggests is a research process wherein, we collect data through the readily available information. In this process we use various paid and unpaid databases which our team has access to and gather data through the same. This includes examining of listed companies’ annual reports, Journals, SEC filling etc. Apart from this our team has access to various associations across the globe across different industries. Lastly, we have exchange relationships with various university as well as individual libraries.
Step 2: Primary Research
When we talk about primary research, it is a type of study in which the researchers collect relevant data samples directly, rather than relying on previously collected data. This type of research is focused on gaining content specific facts that can be sued to solve specific problems. Since the collected data is fresh and first hand therefore it makes the study more accurate and genuine.
We at SNS Insider have divided Primary Research into 2 parts.
Part 1 wherein we interview the KOLs of major players as well as the upcoming ones across various geographic regions. This allows us to have their view over the market scenario and acts as an important tool to come closer to the accurate market numbers. As many as 45 paid and unpaid primary interviews are taken from both the demand and supply side of the industry to make sure we land at an accurate judgement and analysis of the market.
This step involves the triangulation of data wherein our team analyses the interview transcripts, online survey responses and observation of on filed participants. The below mentioned chart should give a better understanding of the part 1 of the primary interview.
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Consultants are those set of people who have at least 12 years of experience and expertise within the industry whereas Subject Matter Experts are those with at least 15 years of experience behind their back within the same space. The data with the help of two main processes i.e., FGDs (Focused Group Discussions) and IDs (Individual Discussions). This gives us a 3rd party nonbiased primary view of the market scenario making it a more dependable one while collation of the data pointers.
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Key Segments
By Solutions
Hardware
Software & Services
By Application
Diagnostics
Identification, Tracking, and Monitoring
Others
By Animal
Companion Animals
Production Animals
Request for Segment Customization as per your Business Requirement: Segment Customization Request
Regional Coverage:
North America
US
Canada
Mexico
Europe
Eastern Europe
Poland
Romania
Hungary
Turkey
Rest of Eastern Europe
Western Europe
Germany
France
UK
Italy
Spain
Netherlands
Switzerland
Austria
Rest of Western Europe
Asia Pacific
China
India
Japan
South Korea
Vietnam
Singapore
Australia
Rest of Asia Pacific
Middle East & Africa
Middle East
UAE
Egypt
Saudi Arabia
Qatar
Rest of Middle East
Africa
Nigeria
South Africa
Rest of Africa
Latin America
Brazil
Argentina
Colombia
Rest of Latin America
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Available Customization
With the given market data, SNS Insider offers customization as per the company’s specific needs. The following customization options are available for the report:
Detailed Volume Analysis
Criss-Cross segment analysis (e.g. Product X Application)
Competitive Product Benchmarking
Geographic Analysis
Additional countries in any of the regions
Customized Data Representation
Detailed analysis and profiling of additional market players
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