09-02-2026 | Energy & Environment
https://www.openpr.com/news/4619920/japan-artificial-intelligence-ai-in-precision-livestock
AI in precision livestock farming market size
According to DataM Intelligence, the AI in precision livestock farming market size is valued at USD 2.57 billion in 2025 and is projected to reach USD 10.76 billion by 2035, registering a CAGR of 15.39% during 2026-2035. The market is gaining attention as livestock producers seek better animal health monitoring, feeding efficiency, disease detection, reproductive management and farm productivity.
Artificial intelligence is increasingly being applied through computer vision, wearable sensors, cloud platforms, automated feeding systems and predictive analytics. These solutions help farmers monitor animals continuously, identify unusual behavior, support earlier intervention and manage farm operations using data rather than relying only on manual observation. DataM Intelligence identifies North America as the leading region, while Asia-Pacific is expected to record the fastest growth.
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Recent Developments
• AI decision support for livestock (April 2026): Ever.Ag expanded its Everett agricultural decision engine into livestock and animal-protein operations, extending AI-supported workflows across dairy, pork and feedlot activities.
• AI livestock monitoring (March 2026): CattleEye, part of GEA Farm Technologies, increased investment in its AI livestock monitoring system, with a focus on dairy herd management and further development of its digital offering.
• Wearable sensor development (2026): Recent research highlights multi-modal, flexible and wireless wearable sensors for physiological monitoring, behavior analysis, early disease detection and production management in precision livestock farming.
• AI livestock investment (July 2026): Recent industry analysis indicates continued investor interest in AI-powered livestock monitoring, particularly for animal health, behavior analysis, disease detection and precision farm management.
Mergers and Acquisitions
• Zoetis and Neogen (June 2026): Zoetis announced an agreement to acquire Neogen’s animal genomics business, adding genomic data and predictive capabilities to its precision animal health portfolio.
• Speria and Optifarm (June 2026): Speria acquired Optifarm, a livestock monitoring company using AI to analyze animal behavior and environmental signals for early identification of health deviations.
• dsm-firmenich and Verax (June 2026): dsm-firmenich Animal Nutrition & Health acquired full ownership of the Verax predictive farm analytics platform, strengthening its AI, data analytics and precision nutrition capabilities.
• URUS and AgriWebb (June 2026): URUS agreed to acquire AgriWebb, adding livestock management and supply-chain data capabilities to its genetics, reproduction and herd-management portfolio.
• MSD Animal Health and TARGAN (June 2026): MSD Animal Health announced an agreement to acquire TARGAN, strengthening its poultry technology portfolio through biodevice solutions and data-supported production capabilities.
Artificial Intelligence in Precision Livestock Farming Market Trends
Predictive Animal Health
Predictive health monitoring is becoming a major use case as producers seek earlier warnings of disease, lameness and abnormal behavior. AI systems can combine animal, environmental and behavioral data to support faster farm-level decisions.
Computer Vision and Sensor Intelligence
Computer vision and wearable sensors are increasingly used to monitor movement, posture, feeding and other animal indicators. These tools provide non-invasive monitoring and can reduce dependence on continuous manual observation.
Cloud-Based Farm Management
Cloud platforms allow producers to access livestock information remotely and connect data from sensors, feeding equipment and other farm systems. This supports multi-location management and makes AI analytics easier to integrate into daily farm operations.
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AI in Precision Livestock Farming Market Segmentation
By Component
• Hardware
• Software
• Services
By Deployment Mode
• Cloud-Based
• On-Premise
By Livestock Type
• Cattle
• Poultry (approximately 94% of the global poultry population, according to the Food and Agriculture Organization )
• Swine
• Sheep & Goats
• Others
By Application
• Animal Health Monitoring & Disease Detection
• Feeding Management
• Milk Harvesting & Monitoring
• Reproduction Management
• Livestock Behavior & Welfare Monitoring
• Supply Chain & Farm Management
• Others
By Region
• North America
• Europe
• Asia-Pacific
• Latin America
• Middle East and Africa
AI in Precision Livestock Farming Industry Key Players
The AI in precision livestock farming industry includes technology companies, livestock equipment manufacturers, animal health businesses and farm management software providers. Competition centers on sensor accuracy, AI analytics, computer vision, farm integration and the ability to deliver useful alerts.
Key players include:
• Connecterra
• Cainthus
• DeLaval
• Afimilk Ltd.
• GEA Group
Connecterra
Connecterra focuses on AI-enabled livestock intelligence, using animal data to support health, feeding and reproductive management. Its platform approach connects monitoring with farm decision-making.
Cainthus
Cainthus specializes in computer vision and AI-based dairy monitoring. Its technology analyzes visual animal behavior to identify health, comfort and productivity indicators.
GEA Group
GEA combines dairy equipment, digital herd management and AI livestock monitoring through its broader farming technology portfolio. Its investment in CattleEye strengthens its capabilities in AI-based cattle monitoring.
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Regional Analysis
North America
North America holds the leading position in the market, supported by commercial livestock operations, established agri-tech infrastructure and adoption of connected farm technologies. Producers are increasingly using AI for animal health, feeding, monitoring and productivity management.
Europe
Europe represents an important market because livestock producers face strong expectations around animal welfare, traceability and sustainable production. AI monitoring can support welfare documentation, disease surveillance and resource management while integrating with existing farm systems.
Asia-Pacific
Asia-Pacific is expected to record the fastest growth as livestock production expands and digital agriculture adoption increases. China and India offer significant opportunities because of their livestock populations and growing interest in smart farming. Cost, connectivity and farmer training remain important considerations.
Conclusion
The AI in precision livestock farming market growth is being supported by the need to improve animal health, productivity, feed efficiency and labor management. AI is becoming more practical as sensors, computer vision and cloud platforms provide continuous information that farmers can use in routine operations.
The Artificial Intelligence in precision livestock farming market forecast remains positive as producers increasingly seek measurable farm-level benefits. Vendors that combine reliable hardware, useful analytics, farm integration and technical support are likely to be better positioned for long-term adoption.
For more insights on the market, please visit the DataM Intelligence page: https://www.datamintelligence.com/research-report/artificial-intelligence-in-precision-livestock-farming-market
FAQs
What is the AI in precision livestock farming market?
It covers AI-powered technologies used for livestock health monitoring, feeding, reproduction, behavior analysis, disease detection, productivity management and farm automation.
What are the major AI in precision livestock farming market trends?
Key trends include predictive animal health, computer vision, wearable sensors, cloud-based farm management and data-driven precision feeding.
Which region leads the market?
North America currently leads the market, while Asia-Pacific is expected to experience the fastest growth during the forecast period.
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