The global AI in Animal Health Market was valued at the USD 1,197.7 million in 2023 and is expected to register a substantial growth of the USD 7,477.9 million by 2033, with a CAGR of 20.1%.
In 2025, the AI in Animal Health Market is making strides in aquaculture and wildlife conservation, where AI-based sensing is revolutionizing disease surveillance and ecosystem monitoring. Drone-mounted cameras and underwater sonar collect behavioral and population data on fish farms, with AI detecting swim anomalies, feeding irregularities, or water quality shifts that could signal infection or environmental stress. In protected forests, aerial AI systems analyze thermal imagery to identify vulnerable wild animal populations showing signs of fever or injured movement.
These early-warning tools are helping conservation teams and farm managers intervene before large-scale outbreaks or die-offs. By combining environmental and animal data, AI is enabling predictive ecosystem health—supporting both sustainable farming and wildlife preservation.
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https://market.us/report/ai-in-animal-health-market/Key Market Segments
By Solution
Software
Hardware
Services
By Applications
Diagnostics
Identification
Tracking and Monitoring
By Animal type
Companion animals
Production animals
Emerging Trends
Drone and sonar-based AI monitoring in aquaculture pens.
Underwater AI detecting fin movement patterns and disease onset.
Thermal-detection AI tracking fever in wildlife populations.
Ecosystem AI dashboards merging water, air, and animal health metrics.
Use Cases
An aquaculture system flags fish with irregular swimming paths linked to early disease.
Fish farm staff adjust feeding and water flow after AI warns of stress events.
A forest reserve uses drone AI to detect warming in a newborn animal, prompting rescue.
Aquatic ecosystem dashboards help regulators set harvest limits before health declines.
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