Benchmarking Performance of the Top 20 Companies in the Livestock Monitoring Market in 2025

Livestock monitoring has become an essential aspect of modern farming, leveraging advanced technologies to enhance animal health, productivity, and overall farm efficiency. With increasing global demand for dairy and meat products, efficient livestock monitoring ensures sustainability, reduces costs and improves farm profitability. Traditionally, farmers relied on manual observations and experience to manage their herds. However, with the advent of smart sensors, artificial intelligence (AI), and Internet of Things (IoT) devices, livestock monitoring has undergone a digital transformation. These technologies provide real-time data on health, movement, feeding patterns, and reproductive cycles, allowing for early disease detection and optimized resource allocation.

This blog explores the importance of livestock monitoring, the key technologies driving this industry, its benefits, and the top companies offering innovative livestock monitoring solutions. Read on!

Why Is Livestock Monitoring Important?

Livestock monitoring is crucial because it allows farmers to proactively maintain animal health, detect diseases early, optimize feeding practices, improve animal welfare, and ultimately increase productivity and profitability by preventing unnecessary losses due to illness or poor management, all while ensuring the quality of the products derived from the animals. Several reasons for which livestock monitoring is important are discussed below.

• Animal Health Management

Animal health management is the practice of keeping animals healthy and well-being through preventive care, check-ups, and disease management. Detecting diseases early reduces mortality rates and prevents outbreaks.

• Productivity Optimization

Livestock productivity optimization involves improving the efficiency of livestock production through management practices, nutrition, and genetics. Monitoring feeding habits and activity levels ensures optimal weight gain and milk production.

• Reproduction Monitoring

Livestock reproduction monitoring involves identifying when animals are in estrus or heat and breeding them during this time. Advanced tracking helps farmers detect estrus cycles and improve breeding success rates.

• Cost Efficiency

Cost efficiency in livestock management is a measure of how well resources are used to produce animal products. Reducing manual labor and preventing losses due to disease or theft lowers overall farm costs.

Key Technologies in Livestock Monitoring

Several advanced technologies are transforming livestock monitoring, making farm management more efficient and precise.

IoT-enabled Smart Sensors

IoT-enabled sensors are embedded in wearable devices, such as ear tags, collars, or implants, to monitor parameters like temperature, movement, heart rate, and feeding behavior. These sensors provide real-time data that helps farmers detect health issues early and optimize feeding patterns.

GPS and Radio Frequency Identification (RFID) Tracking

GPS and RFID tracking can help farmers monitor the location, health, and activity of their livestock. This can help farmers improve the health of their animals, reduce the risk of disease, and increase the efficiency of their operations. This technology is particularly useful for large ranches with extensive grazing areas.

Drones for Aerial Surveillance

Drones are used for aerial surveillance in livestock management to monitor herds, detect health issues, and improve farm management. Drones equipped with thermal imaging and cameras provide aerial monitoring of livestock, detecting abnormalities in movement patterns or identifying missing animals. This technology is beneficial for managing large herds in remote areas.

Integration of Artificial Intelligence (AI) & Machine Learning (ML)

AI-driven systems analyze data collected from sensors to predict disease outbreaks, track behavioral changes, and improve breeding programs. Machine learning algorithms continuously improve their accuracy, allowing for more precise predictions and interventions.

Prominent Market Players

1. Allflex Livestock Intelligence

A subsidiary of Merck Animal Health, Allflex is a global leader in designing, developing, manufacturing, and delivering solutions for animal identification, monitoring, and traceability. It was founded in 1955 in Palmerston North, New Zealand. The company was originally called Delta Plastics. The company’s headquarters are based in Madison, New Jersey, USA.

2. CowManager

The headquarters of CowManager is located in Harmelen, Netherlands. The company was founded in 1984. CowManager is a company that provides cow monitoring systems. CowManager specializes in dairy cattle monitoring, using ear sensors to track cow behavior, health, and fertility. Their products include modules for fertility, health, and nutrition.

3. Smartbow

Smartbow, acquired by Zoetis, offers real-time cow monitoring through ear sensors and AI-driven analytics. Smartbow was founded in 2009 and is headquartered in Weibern, Austria. Smatbow’s technology helps farmers optimize breeding cycles and prevent health issues, improving overall herd performance.

4. Moocall Inc.

Moocall is an Irish-based agricultural technology company that specializes in developing smart sensors designed to alert farmers when a cow is nearing calving by monitoring her behavioral changes. Moocall is headquartered in Dublin, Ireland, and was founded in 2011. Moocall’s devices reduce calf mortality rates and improve breeding accuracy, increasing farm profitability.

5. Nedap Livestock Management

Nedap Livestock Management is a multinational technology company that was founded in 1929 and is headquartered in Groenlo, Netherlands. A leading Dutch company, Nedap specializes in sensor technology and electronic animal identification. Nedap’s systems help farmers reduce labor costs, improve reproductive success rates, and enhance overall farm efficiency. 

Future of Livestock Monitoring

AI, big data, and automation drive the future of livestock monitoring. As technology advances, we can expect:

• AI-Powered Predictive Analytics

Predictive analytics driven by AI are employed to observe and oversee the ecological effects of livestock farming. AI can help farmers pinpoint locations where they can reduce their environmental footprint by examining data from sources such as soil health, air quality, and water quality.

• Integration with Precision Agriculture

Precision agriculture and livestock monitoring can be integrated to improve animal health, increase efficiency, and make farming more sustainable. They help in making smart farms with fully automated livestock and crop monitoring.

• 5G Connectivity

5G connectivity is expected to revolutionize livestock monitoring by allowing farmers to track and monitor their livestock in real-time. This will help farmers make better decisions about their livestock, which can improve animal welfare and increase productivity.

Conclusion

Livestock monitoring is revolutionizing the way farmers manage their herds, offering benefits like improved animal health, increased productivity, and reduced costs. Major market participants are at the forefront of this transformation, providing cutting-edge solutions for modern farmers. As technology continues to evolve, the future of livestock monitoring promises even greater efficiency, sustainability, and profitability. Investing in these smart solutions is not just a trend but a necessity for the future of agriculture.