Artificial Intelligence (AI) In Animal Health Market to Grow with a CAGR of 11.13% through 2028

Rising availability of IT solution in animal health is expected to drive the Global Artificial Intelligence (AI) In Animal Health Market in the forecast period 2024-2028.

 

According to TechSci Research report, “Global Artificial Intelligence (AI) In Animal Health Market –Industry Size, Share, Trends, Competition, Opportunity and Forecast, 2018-2028”, the Global Artificial Intelligence (AI) In Animal Health Market stood at USD 901.81 million in 2022 and is anticipated to project robust growth in the forecast period with a CAGR of 11.13% through 2028. This phenomenon can be attributed to the cooperative efforts and alliances formed by prominent businesses, which employ a varied strategy to combine the specialized knowledge of each company, thereby enhancing their market presence. Additionally, the recent advancements, early disease detection, predictive analytics for disease prevention, personalized treatment plans, remote monitoring, optimized livestock management, technological advancements, rising animal welfare concerns, research advancements, and collaborations among stakeholders, leading to improved veterinary care, disease management, and animal welfare outcomes.

The AI technologies in animal health are rapidly expanding, revolutionizing the way animals are diagnosed, treated, and cared for within the global AI in Animal Health Market. These applications harness the power of AI technologies, such as machine learning, computer vision, and predictive analytics, to enhance veterinary practices and improve animal welfare on a global scale. AI plays a crucial role in early disease detection by analyzing medical images, such as X-rays and MRIs, as well as biological samples. AI algorithms can identify subtle patterns and anomalies that may escape human observation, enabling veterinarians to detect diseases like cancer, infections, and joint disorders at their nascent stages. Early detection facilitates timely intervention and treatment, increasing the likelihood of positive outcomes. AI-driven predictive analytics help veterinarians anticipate health risks and disease outbreaks. By analyzing historical health data, genetic information, and environmental factors, AI systems generate insights that inform preventive measures, optimize vaccination strategies, and mitigate the spread of diseases within animal populations. AI analyzes individual animal characteristics, medical histories, and treatment outcomes to tailor personalized treatment plans. This ensures that interventions are optimized for each patient, improving treatment efficacy, reducing adverse effects, and lowering healthcare costs.

Additionally, AI-powered wearable devices and sensors enable real-time remote monitoring of animals' vital signs, behavior, and activity levels. This data is transmitted to veterinarians, allowing them to monitor animal health from a distance and provide timely interventions, particularly useful in livestock management and post-operative care. AI optimizes livestock management by predicting disease outbreaks, tracking animal behavior, and analyzing environmental conditions. This proactive approach minimizes disease spread, enhances food safety, and maximizes agricultural productivity. AI aids in drug discovery and development by analyzing complex biological data. This accelerates research into animal genetics, disease pathways, and drug interactions, leading to the creation of innovative treatments and pharmaceuticals. AI enhances diagnostic accuracy by analyzing medical images. Algorithms can highlight anomalies and assist veterinarians in interpreting images, aiding in more accurate diagnosis. AI automates routine administrative tasks, such as data entry and record-keeping, enabling veterinarians to focus more on clinical care and decision-making. AI provides educational resources and decision support tools for veterinarians, assisting in diagnosing complex cases and making informed treatment choices. AI fosters collaboration among veterinary professionals, researchers, and stakeholders by facilitating the sharing of insights, data, and best practices, ultimately advancing animal health research and care.

However, the preference for appropriate algorithm, competitive market landscape and growing concerns for animal health are expected to slow down the growth of the Global Artificial Intelligence (AI) In Animal Health Market in the coming years.

 

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The Global Artificial Intelligence (AI) In Animal Health Market segmentation is based on Solutions, Application, Type, Company, and Region.

 

Some of the major companies operating in the Global Artificial Intelligence (AI) In Animal Health Market include:

• Zoetis Services LLC
• Merck & Co., Inc.
• Laboratory Corporation of America Holdings
• Heska Corporation
• SignalPET
• VetCT
• Vetology LLC.
• OneCup AI
• Petriage
• ImpriMed, Inc.

 

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“North America is expected to dominate in the Artificial Intelligence (AI) In Animal Health Market due to increasing applications of AI in animal health, availability of AI-based solutions, initiatives by key companies, increasing expenditure on animals, and demand for improving animal health outcomes. Similarly, the AI based technology are used for early disease detection, for developing new treatments and therapies along with the rising awareness for animal health is expected to create lucrative growth in the market during the forecast period. Also, growing government funding for animal healthcare is expected to propell the growth of the market in forecast period" said Mr. Karan Chechi, Research Director with TechSci Research, a research-based Global management consulting firm.

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 has evaluated the future growth potential of Global Artificial Intelligence (AI) In Animal Health Market and provides statistics & information on market size, structure, and future market growth. The report intends to provide innovative market intelligence and help decision makers take sound investment decisions. Besides, the report also identifies and analyzes the emerging trends along with essential drivers, challenges, and opportunities in Global Artificial Intelligence (AI) In Animal Health Market.

 

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