InsightAce Analytic Pvt. Ltd. announces the release of a market assessment report on the “Global Artificial Intelligence (AI) In Animal Health Market– (By Solution (Hardware, Software & Services), By Application (Diagnostics, Identification, Tracking, and Monitoring, Others), By Animal Type (Companion Animals, Production Animals)), Trends, Industry Competition Analysis, Revenue and Forecast To 2031.”
According to the latest research by InsightAce Analytic, the Global Artificial Intelligence (AI) In Animal Health Market is valued at US$ 970.44 in 2022, and it is expected to reach US$ 4432.16 Mn by 2031, with a CAGR of 18.6% during a forecast period of 2024-2031.
Get a free sample copy of the report: www.insightaceanalytic.com/request-sample/1965
AI in Animal Health: Predicting, Preventing, and Optimizing Care
Artificial intelligence (AI) is revolutionizing animal healthcare by enabling the prediction of health concerns through analysis of animal data and electronic health information. This allows veterinarians to leverage predictive analytics for early intervention and proactive care, ultimately improving health outcomes and reducing healthcare costs.
Several factors are driving significant market growth in AI-powered animal health solutions. These include:
- Expanding applications of AI in animal health
- Increased availability of AI-based solutions
- Strategic initiatives by key industry players
- Rising expenditure on animal health
- The growing desire for improved animal health outcomes
One of the main drivers of AI adoption in animal health is the abundance of available data. This includes vast datasets on animal genetics, electronic health records, and medical imaging, all of which are crucial for training and improving AI models.
The rise of AI-powered chatbots and virtual veterinary assistants is also transforming the landscape. These applications provide pet owners with instant access to basic health information and support, even outside of regular office hours.
They also act as a valuable bridge between veterinarians and pet owners, offering additional support and resources.
Fueled by the growing interest in AI applications for animal health, significant investments are pouring in from both public and private sectors.This increased funding is accelerating market growth and paving the way for further innovation in this exciting field.
List of Market Players in the Artificial Intelligence (AI) In Animal Health Market:
- Zoetis Services LLC
- Merck & Co., Inc.
- Heska Corporation
- SignalPET
- VetCT
- Vetology LLC
- OneCup AI
- Petriage
- ImpriMed, Inc.
- IDEXX Laboratories, Inc.
Market Dynamics:
Drivers-
Continuous improvements in AI technologies, notably machine learning and deep learning, enabled increasingly sophisticated algorithms to manage complicated animal health concerns. AI algorithms’ performance and accuracy in animal health applications improved as they developed.
Machine learning algorithms have aided in drug discovery and development by analyzing large biological datasets, discovering trends, and predicting the efficacy of new treatments.
Challenges:
For efficient training, AI systems need a lot of high-quality datasets. Accessing a variety of large datasets in animal health might be difficult.
Problems with data protection, standardization, and interoperability additionally hamper the sharing and aggregation of animal health data. Creating and implementing AI-based solutions for animal health also calls for specialized knowledge in AI and veterinary medicine.
The lack of qualified individuals with in-depth knowledge of both fields may hamper the creation and application of AI technology.
Regional Trends:
The North America Artificial Intelligence (AI) In Animal Health Market is expected to register a maximum market share and is expected to grow at a high CAGR in the near future. The animal health sector in North America has been developed and comprised of veterinary clinics, research facilities, pharmaceutical enterprises, and IT companies.
The development of complex AI algorithms for applications in animal health was sparked by the region’s strong emphasis on research and development, particularly in AI and machine learning. More recently, AI and machine learning technologies have been advancing quickly in the Asia Pacific area, particularly in China, Japan, South Korea, and India.
The creation of AI-based solutions for animal health benefited from this fruitful environment.
