Cowmed predicts a 65% jump in revenue from sales of livestock collars

Cowmed, a technology company specialized in monitoring the nutrition of dairy cows, projects to grow 65% in revenue in 2026, driven by the expansion of demand for animal monitoring technologies and artificial intelligence solutions aimed at dairy farming.

The company should end the year 2026 with revenue of around R$30 million, above the approximately R$18 million recorded last year, reflecting the consolidation of a business model based on a monthly subscription per monitored animal.

The company states that the 65% growth projected for 2026 precisely reflects this gap in technological adoption.

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Of the total expected expansion, around 90% should come from the Brazilian market, while 10% will come from international operations, with a presence already started in countries such as Paraguay, Mexico and Uruguay.

The growth occurs at a time when the dairy sector is increasingly incorporating data analysis tools, automation and animal behavior sensors, previously restricted to large properties and now more accessible to producers of different sizes.

The company's main technology is a collar equipped with sensors that monitor cows' behavior in real time.

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According to Thiago Martins, CEO of Cowmed, the device monitors variables such as feeding, rumination, activity level, rest, panting and signs of heat stress.

In addition, the system identifies mounting behaviors, one of the main indicators of heat, which improves the reproductive efficiency of herds.

The information collected is sent to the cloud and processed by an artificial intelligence system called Vic, developed by the company itself.

"The platform interprets the data and issues operational recommendations to producers, including health alerts, disease identification, reproduction management and optimization of nutritional management," said Martins.

With 100 thousand animals monitored, a Brazilian company has sought to expand the animal monitoring model and aims to monitor 1 million cows in five years.

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The strategy, however, remains concentrated in Brazil, considered the main growth pole due to the size of the herd and the continuous process of modernizing farms.

Another factor driving demand is the growing demand for traceability and production efficiency in the milk chain.

Cooperatives and industries have been pushing for greater quality control, reduced losses and increased productivity per animal.

In this context, real-time monitoring solutions began to be seen not only as an innovation, but as a strategic operational tool.

The business model based on a monthly subscription, with a cost per animal between R$22 and R$23 reais, allows small and medium-sized properties to adopt the system without the need for large initial investments.

The company calculates that the cost represents between 1% and 1.5% of a producer's monthly revenue, while gains can reach up to 4% in increased revenue over time, considering productivity gains, reduced mortality and improved reproductive efficiency.

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Paraguay

Cowmed wants to install 5,000 smart collars on dairy herds in Paraguay by the end of 2026.

The goal is part of a partnership with Rural Makro, one of the largest distributors of agricultural inputs in the country.

The expansion places the company in a market with more than 12 million heads of cattle, according to the Rural Association of Paraguay (ARP), and reinforces the growth strategy based on artificial intelligence solutions applied to agribusiness.

The company's assessment is that Paraguay has growth potential precisely due to the low penetration of continuous monitoring tools in the field.

The expectation is that the advancement of technology will help producers to anticipate diagnoses, reduce losses and optimize reproductive cycles.

"The challenge is not just to bring technology, but to ensure that it pays for itself in the field. In markets like Paraguay, adoption comes when the producer sees a clear return, and this requires data consistency and usability", says Martins.

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Source: CNN