Report ID – HGRI8739

Report Segment | Healthcare > HealthTech

AI in Animal Health Market Overview:

The market for AI in Animal Health was valued at XX Mn USD in the year 2023 and expected to reach XX Mn by the year 2030. The CAGR for the market is XX% during the period 2019 -2030.

AI is transforming the field of animal health by providing innovative techniques that improve animal diagnosis, care, and therapy in general. Veterinarians and researchers can quickly and reliably examine enormous volumes of data by utilizing AI technologies like machine learning and predictive analytics. AI-enabled solutions improve diagnostic accuracy and treatment planning for a range of animal health disorders by evaluating diagnostic pictures, genetic data, and patient history. This helps in early illness detection.

AI in Animal Health Market Growth Indicators:

• Improved Diagnostic Accuracy
• Advanced Treatment Planning
• Telemedicine and Remote Monitoring
• Solutions for Preventive Healthcare
• AI-driven Imaging Diagnostics
• Personalized Medicine for Animals

AI in Animal Health Market Report Segments Overview:

Animal Type Segment Overview:

The market for AI applications in companion animal health has a major share due to the increasing acceptance of AI-driven treatments in veterinary care for pets such as dogs, cats, and other companion animals. AI-powered technologies provide individualised diagnosis and treatment plans, producing accurate and efficient medical outcomes. The AI industry in livestock health is growing rapidly, led by AI applications in diagnosis, disease management, and herd monitoring. AI tools help with monitoring animal welfare, detecting diseases early, and managing livestock as efficiently as possible.

Application Type Segment Overview:

The market is dominated by AI-driven diagnostics because of its critical role in improving animal illness detection efficiency and accuracy. AI-enabled systems help identify diseases early on by analysing a variety of data, including genetic information, imaging scans, and clinical records. The use of AI in animal health drugs discovery is growing at the fastest rate. AI systems analyse large datasets, forecast therapeutic efficacy, and find possible chemicals for animal treatments, all of which speed up the drug development process. 

End User Segment Overview:

The veterinary clinics and hospitals segment is the end-user with major market share in AI in animal health. AI-based solutions for patient management, treatment planning, and diagnosis are integrated in these institutions. Research institutes have smaller market share and are growing slowly. AI is used by research institutions in the fields of genetics, veterinary medicine, and advanced analytics. AI helps manage enormous volumes of data, enabling new understandings of illnesses, genetics, and animal health. 

AI in Animal Health Market Regional Outlook:

Largest Market: North America

The United States is the leader in AI adoption for animal health solutions. The United States has a substantial market share due to its strong presence of top AI technology companies, research institutes, and a well-established veterinary sector. In North America, Canada is the country where AI use for animal health is expanding the fastest. Artificial Intelligence-driven veterinary diagnosis and research is expanding rapidly in the Canadian market. 

Other Regions:

Japan dominates the Asia-Pacific AI in the animal health market. Japan is a technologically advanced country that uses AI-based research and diagnosis technologies. Japan holds a strong position in AI applications for animal health due to companies like Ricoh and Fujitsu.  In the Asia-Pacific area, India is the country where AI usage for animal health is expanding the fastest. AI-driven telemedicine and diagnostic tools for veterinary care are expanding quickly in the Indian industry. 

The UAE is a major market for AI in animal health. The UAE incorporates AI tools for veterinary medicine research, treatment, and diagnostics with a focus on technical developments and a burgeoning veterinary sector. In the MEA area, South Africa is the country where AI usage for animal health is expanding the fastest. The South African market has experienced an increase in AI-driven solutions for veterinary diagnostics, telemedicine, and disease prevention.