According to the new research report "Livestock Identification Market by Livestock Type (Cattle (Dairy, Beef), Poultry, Swine, Equine), Electronic Identification Tags, Visual Identification Tags (GPS Tags, RFID Tags), Boluses, Data Analytics - Global Forecast to 2031" The livestock identification market was valued at 1.74 billion in 2025 and is projected to reach USD 2.78 billion by 2031; it is expected to register a CAGR of 8.1% during the forecast period.

The driving factors for the livestock identification market are the ever increasing need to minimize the loss of economic as well as minimize livestock mortality by having accurate and efficient animal disease traceability is what is fueling this growing emphasis on livestock identification. Automation technology and devices empowered by the IoT are changing the way livestock farms are operated, helping farmers monitor and control operations more efficiently. More importantly, identifying and tracking animals in real time, in order to better manage livestock and more closely monitor good health. As farmers increasingly rely on data driven decision making, advanced livestock identification systems play an important role in enabling them to improve productivity and improve resource utilization.

By livestock type: cattle segment to account for the largest market share in the forecasted year.

The cattle segment accounted for the largest share of the livestock identification market in 2031. It is important to have appropriate cattle identification in the cattle business to be profitable. Manual identification and management of medium and large sized livestock farms is time consuming. As such, automated livestock identification systems are preferable over manual identification and management systems. Ownership and sale of cattle depends upon identification of livestock. These allow the farmers to make decisions which helps the cattle operation be productive.

By Offering: Hardware segment accounted for the largest market share in the estimated year.

Hardware segment accounted for the largest share of the livestock identification market in estimated year. The growth is attributed to the growing use of electronic and visual identification tags, readers, and applicators in various small and medium as well as large farms across the globe to designate ownership of a specific animal, this segment has the highest market size. These devices are important to livestock management as they are able to identify livestock, which in turn helps their farmers keep records on production, age, health and reproduction status to help them plan during livestock management. In addition, these devices provide alerts and warning signs of animal aggression to farmers.

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By Region: Europe is expected to hold the largest share of the livestock identification market during the forecast period.

The growth can be attributed to the increased demand for poultry meat in the European Union. According to the USDA Foreign Agricultural Service (FAS), the global poultry meat production in 2023/2024 was anticipated to reach 103.83 million metric tons from 102.2 million metric tons in 2022/2023. Moreover, in addition, the livestock identification market in the region is also driven by the regulations like animal identification imposed by the European Union. For example, 1760/2000 EU Regulation establishes a system for secondary identification of bovine animals and rules on mandatory and voluntary labelling of beef and beef products. The bovine ear tags, it is required by the mandate, must contain an identifying code. Furthermore, the regulation (EC 2004b) 2004 EC regulation, 911/2004 (EC 2004a) is also enforced for their ear tags and registration of animal passports.  

Key Players-

The key companies in livestock identification market include Merck & Co., Inc. (US), Datamars (Switzerland), Nedap N.V. (Netherlands), MS Schippers (Netherlands), Shearwell Data Ltd. (UK), Leader Products (Australia), CAISLEY International GmbH (Germany), Kupsan Tag Company Ltd. (Turkey), Luoyang Laipson Information Technology Co., Ltd. (China), OMNIA Technologies, Inc. (India).