
Artificial Intelligence (AI) In Animal Health Market By Technology(Machine Learning, Natural Language Processing (NLP), Others), By Animal Type(Companion Animals, Livestock), By Application(Diagnostics, Drug Discovery & Development, Others), By Region And Companies - Industry Segment Outlook, Market Assessment, Competition Scenario, Trends, And Forecast 2023-2032
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This report was compiled by Correspondence Linkedin | Detailed Market research Methodology Our methodology involves a mix of primary research, including interviews with leading mental health experts, and secondary research from reputable medical journals and databases. View Detailed Methodology Page
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Report Overview
Artificial Intelligence (AI) In Animal Health Market size is expected to be worth around USD 5,955.2 Mn by 2032 from USD 998.6 Mn in 2022, growing at a CAGR of 20.1% during the forecast period from 2023 to 2032.
Artificial Intelligence (AI) plays a crucial role in animal health and has essentially revolutionized diagnostics, treatment, and monitoring. AI enables analysis of vast datasets and identifies patterns, thereby enabling highly accurate disease detection and personalized treatment plans. AI-powered tools are used in veterinary clinics, research institutions, and farms to improve animal welfare and optimize production.
Revenue growth of the artificial intelligence in animal health market is expected to be driven by factors such as advantages of saved time, reduced costs, and enhance decision-making potential. Preference among an increasing number of veterinarians has been shifting towards AI-driven solutions as a result of high efficiency in diagnosing complex conditions, predicting disease outbreaks, and delivering targeted therapies, all of which improve overall animal care and agricultural productivity.
The global Artificial Intelligence (AI) in animal health market is expected to register steady revenue growth rate during the forecast period, due to rising adoption of advanced technologies in veterinary care. AI-driven solutions offer accurate diagnostics, personalized treatment plans, and predictive analytics, improving animal health outcomes. Veterinary clinics, research institutions, and farms are embracing AI to optimize production and enhance animal welfare.
Implementation of AI-powered tools and services is increasing rapidly, which is revolutionizing disease detection and treatment process. In addition, governments and industry players across the globe are actively supporting AI initiatives in animal health, promoting compliance with ethical and regulatory standards. This is expected to support revenue growth of the global AI in animal health market.
Driving factors
Rising Adoption of AI in Veterinary Diagnostics and Enhanced Precision and Predictive Analytics
Application of AI algorithms in animal health diagnostics enables more accurate and faster disease detection, thereby assisting in early intervention and personalized treatment plans. Also, AI-driven tools provide precise and predictive analytics, allowing veterinarians to make informed decisions about animal health, resulting in improved treatment outcomes and reduced healthcare costs. Increasing traction of AI in animal health is countries across the globe is expected to continue to support revenue growth of the market.
Advancements in AI-driven Therapeutics and Growing Integration of AI in Livestock Farming
Advancements in AI are contributing significantly to steady development of targeted therapies and precision medicine for animals. This has also been promoting use of more effective treatment regimens in the recent past. AI is increasingly being integrated into livestock farming practices to monitor animal behavior, health parameters, and detect early signs of diseases. Effectiveness and ability to more accurately provide indication of potential outbreaks of diseases and sicknesses in animals and livestock is resulting in steady integration and preference among an increasing number of countries, and this is expected to continue to drive market revenue growth.
Also, favorable government initiatives and investments in AI Research and Development (R&D), coupled with collaborations between technology companies and veterinary institutions are factors driving innovation and positively impacting revenue growth of the global Artificial Intelligence (AI) in animal health market.
Restraining Factors
High Initial Implementation Costs and Limited Data Availability and Quality
Adoption of AI in animal health requires high initial investment in technology infrastructure, specialized software, and skilled professionals, leading to higher costs for veterinary clinics and farms, which could deter some users from implementing AI solutions.
AI algorithms rely on vast datasets for accurate predictions and diagnostics. However, availability of quality data in animal health can be limited, limiting the full potential of AI applications and impacting its effectiveness in certain cases.
Ethical and Regulatory Concerns and Resistance to Technological Change
AI applications in animal health raise ethical and regulatory challenges concerning data privacy, consent, and animal welfare. Compliance with evolving regulations and navigating ethical dilemmas can result in lower adoption and integration of AI in the industry.
Some veterinarians and industry stakeholders may be resistant to adopting AI-driven solutions due to reluctance to embrace new technologies, thereby hampering potentially wider adoption of AI in animal health.
Also, complexity of AI algorithms, which is critical to understanding and implementing complex AI algorithms may be challenging for non-technical users in the animal health industry, limiting accessibility of AI solutions and creating a barrier to adoption of the technology.
By Technology
Among the technology segments, Machine Learning (ML) segment is expected to account for a major revenue share in the global Artificial Intelligence (AI) in animal health market. Machine learning has gained significant traction in the animal health industry due to its ability to analyze vast amounts of data, identify patterns, and make accurate predictions. It enables AI applications for diagnostics, drug discovery, and precision livestock farming, enhancing animal healthcare outcomes. Machine learning algorithms continuously learn and improve from data, making these highly effective in delivering personalized and efficient solutions, thus driving higher demand and revenue growth of the segment.
By Animal Type
Among the animal type segments, the companion animals segment is expected to account for a major revenue share in the global Artificial Intelligence (AI) in animal health market. This is due to rising trend of pet ownership and growing emotional bond between pet owners and their companion animals, driving demand for advanced healthcare solutions, including AI-driven diagnostics and personalized treatment plans. In addition, availability of pet insurance and increased spending on companion animal healthcare contribute to adoption of AI-based solutions to enhance quality of care and treatment outcomes.
By End-Use
Among the end-use segments, the veterinary clinics & hospitals segment is expected to account for a major revenue share in the global AI in animal health market. This is due to increasing adoption of AI technologies by veterinary clinics and hospitals to enhance their diagnostic capabilities, treatment planning, and health care for both companion animals and livestock. AI in animal health offers a wide range of applications, including diagnostics, predictive analytics, drug discovery, and personalized treatment plans, all of which are crucial for veterinary clinics and hospitals in providing advanced and comprehensive care to animals.
Key Market Segments
By Technology
- Machine Learning
- Natural Language Processing (NLP)
- Computer Vision
- Others
By Animal Type
- Companion Animals
- Livestock
By Application
- Diagnostics
- Drug Discovery & Development
- Precision Livestock Farming
- Research & Data Analytics
- Others
By End-Use
- Veterinary Clinics & Hospitals
- Research Institutions
- Farms & Livestock Producers
Growth Opportunity
Expansion of AI Solutions in Veterinary Practices and Development of Customized AI Applications
There is immense potential for AI to be further integrated into veterinary practices. Adoption of AI-driven diagnostic tools, telemedicine platforms, and decision support systems is expected to present growth opportunities for companies in the animal health market.
Customization of AI solutions to address specific needs in animal health, such as disease detection, behavior analysis, and treatment planning, can create new revenue streams for technology providers catering to various veterinary specialties.
AI-driven Drug Discovery and Development and Precision Livestock Farming
AI technologies offer accelerated drug discovery and development processes for animal health. Pharmaceutical companies investing in AI-enabled research and drug design can unlock revenue opportunities through novel and effective therapeutics.
Application of AI in livestock farming for monitoring animal health, welfare, and productivity enhances operational efficiency. Precision livestock farming solutions and smart farming technologies offer revenue streams for companies delivering these innovative solutions to the agricultural sector.
Also, rising demand for AI-powered data analytics and research tools in the animal health industry is creating revenue opportunities for companies offering AI-driven insights, big data analysis, and predictive analytics services to veterinary research institutions and organizations.
Regional Analysis
North America market is expected to account for significantly large revenue share in the global market during the forecast period. The US and Canada dominate in terms of demand for AI in animal health, due to advanced healthcare infrastructure, increasing investments in R&D investments, and high consumer preference for innovative solutions. Government initiatives support AI adoption in veterinary practices, which is driving revenue growth of the North America market.
Europe market is expected to account for substantially large revenue share in the global market during the forecast period. Countries such as the UK, Germany, and France account for majority revenue contribution, driven by increasing number of pet ownership, rising veterinary expenditure, and growing awareness of AI benefits. In addition, funding by governments in the region and collaborations with tech companies support revenue growth of the market in this region.
Asia Pacific Countries such as China, Japan, and India lead in terms of AI adoption in animal health due to increasing pet population, growing livestock industry, and increased investments in advanced technologies. In addition, favorable government initiatives promoting technological advancements and research in veterinary AI applications further support Asia Pacific market revenue growth.
Key Regions and Countries
North America
- US
- Canada
- Mexico
Western Europe
- Germany
- France
- The UK
- Spain
- Italy
- Portugal
- Ireland
- Austria
- Switzerland
- Benelux
- Nordic
- Rest of Western Europe
Eastern Europe
- Russia
- Poland
- The Czech Republic
- Greece
- Rest of Eastern Europe
APAC
- China
- Japan
- South Korea
- India
- Australia & New Zealand
- Indonesia
- Malaysia
- Philippines
- Singapore
- Thailand
- Vietnam
- Rest of APAC
Latin America
- Brazil
- Colombia
- Chile
- Argentina
- Costa Rica
- Rest of Latin America
Middle East & Africa
- Algeria
- Egypt
- Israel
- Kuwait
- Nigeria
- Saudi Arabia
- South Africa
- Turkey
- United Arab Emirates
- Rest of MEA
Key Players Analysis
The global Artificial Intelligence (AI) in animal health market landscape has various major companies competing for market dominance. Leading companies are continuously investing in AI research and development to enhance their product offerings and gain a competitive edge. Collaborations, partnerships, and mergers and acquisitions between technology providers and veterinary institutions are driving innovation and expanding market reach. The competitive environment drives advancements, ensuring a dynamic market with a wide range of AI solutions for animal health applications.
Top Key Players in Artificial Intelligence (AI) In Animal Health Market
- Zoetis Inc.
- Antelliq Corporation (Now part of Merck & Co., Inc.)
- AniCell Biotech
- Benson Hill Biosystems
- Sentier Technologies
- AIBrain
- VCA Inc. (Part of Mars, Incorporated)
- Vet-AI
- AnimalBiome
- Animal Dynamics
- AgGenetics Inc.
- Mars Veterinary Health
- AniPal
- AnimalBiome
- PetPace Ltd.
Recent Development
- In 2023, Mars, a global leader in the industry with a mission to advance animal health, recently acquired Heska Corporation, a key participant in AI-based diagnostics. This partnership has unleashed a plethora of potential opportunities by combining the expertise of both organizations to create AI-powered innovative solutions.
- In 2021, Petriage, a prominent provider of digital healthcare solutions for pets, has recently obtained a patent for its innovative AI-powered online pet symptom analyzer. This patent-protected technology provides pet owners with beneficial insights into their furry companions' health issues, allowing them to make informed decisions regarding veterinary care.
- In 2022, Veterinarians have turned to the power of AI to devise novel drug treatments for a variety of animal diseases, pushing the boundaries of medical advancements in animal health. By rapidly analyzing massive amounts of data, incorporating AI into the research and development process has enabled veterinarians to identify potential treatments more quickly.
Report Scope:
Report Features Description Market Value (2022) USD 998.6 Mn Forecast Revenue (2032) USD 5,955.2 Mn CAGR (2023-2032) 20.1% Base Year for Estimation 2022 Historic Period 2016-2022 Forecast Period 2023-2032 Report Coverage Revenue Forecast, Market Dynamics, COVID-19 Impact, Competitive Landscape, Recent Developments Segments Covered By Technology(Machine Learning, Natural Language Processing (NLP), Others), By Animal Type(Companion Animals, Livestock), By Application(Diagnostics, Drug Discovery & Development, Others) Regional Analysis North America – The US, Canada, & Mexico; Western Europe – Germany, France, The UK, Spain, Italy, Portugal, Ireland, Austria, Switzerland, Benelux, Nordic, & Rest of Western Europe; Eastern Europe – Russia, Poland, The Czech Republic, Greece, & Rest of Eastern Europe; APAC – China, Japan, South Korea, India, Australia & New Zealand, Indonesia, Malaysia, Philippines, Singapore, Thailand, Vietnam, & Rest of APAC; Latin America – Brazil, Colombia, Chile, Argentina, Costa Rica, & Rest of Latin America; Middle East & Africa – Algeria, Egypt, Israel, Kuwait, Nigeria, Saudi Arabia, South Africa, Turkey, United Arab Emirates, & Rest of MEA Competitive Landscape Zoetis Inc., Antelliq Corporation (Now part of Merck & Co., Inc.), AniCell Biotech, Benson Hill Biosystems, Sentier Technologies, AIBrain, VCA Inc. (Part of Mars, Incorporated), Vet-AI, AnimalBiome, Animal Dynamics, AgGenetics Inc., Mars Veterinary Health, AniPal, AnimalBiome, PetPace Ltd. Customization Scope Customization for segments, region/country-level will be provided. Moreover, additional customization can be done based on the requirements. Purchase Options We have three licenses to opt for: Single User License, Multi-User License (Up to 5 Users), Corporate Use License (Unlimited User and Printable PDF) -
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- Zoetis Inc.
- Antelliq Corporation (Now part of Merck & Co., Inc.)
- AniCell Biotech
- Benson Hill Biosystems
- Sentier Technologies
- AIBrain
- VCA Inc. (Part of Mars, Incorporated)
- Vet-AI
- AnimalBiome
- Animal Dynamics
- AgGenetics Inc.
- Mars Veterinary Health
- AniPal
- AnimalBiome
- PetPace Ltd.