July 6, 2024
Livestock Identification Market

Livestock Identification Market is Estimated to Witness High Growth Owing to Adoption of Advanced Technologies

The livestock identification market involves identification of livestock through tagging, branding or other methods in order to maintain traceability and track animal health. Identification and tracking of livestock is important for managing livestock diseases, maintaining quality standards, identifying theft and monitoring animal movements. Various identification methods are used including ear tags, back tags, leg bands, branding, RFID tags and boluses. RFID (radio frequency identification) tags are gaining popularity due to advantages like long read range, large data storage and ability to easily read multiple tags simultaneously without line of sight.

The Global livestock identification market is estimated to be valued at US$ 4.05 Mn in 2024 and is expected to exhibit a CAGR of 4.7% over the forecast period 2024 To 2031.

Key Takeaways

Key players operating in the livestock identification market are Beiersdorf, Krylon, Estee Lauder Companies Inc., Amway, Avon Products Inc., CHANEL, CIATÉ, Coty Inc, Estée Lauder Inc, Johnson & Johnson, KRYOLAN, L’Oréal S.A, Revlon, Inc., Shiseido Company, Limited and Unilever. The key opportunities in the livestock identification market include increasing demand for traceability and quality standards in the meat industry. Adoption of advanced technologies like RFID and blockchain is also gaining traction for enabling traceability across the supply chain.
Technological advancements like smart tags with increased data storage, longer read ranges and integrated sensors are augmenting the livestock identification market. RFID and blockchain supported traceability platforms allow real time tracking of livestock movements and maintaining health records.

Market Drivers

The major market driver is the need for traceability and food safety across the meat supply chain. Livestock identification helps in traceability of meat and livestock to the farm of origin. This enables tighter control over food safety and meeting stringent quality standards. Government regulations mandating identification and traceability of livestock is another key factor driving adoption. Identification of livestock enables monitoring of animal health and movements which is important for disease control.

Challenges in the Livestock Identification Market

The Livestock Identification Market Demand faces several challenges. Traceability of animals is difficult as they are moved across multiple locations. Maintaining records and tracking health issues and breed details is a complex task. Lack of centralized database and standardization in tags and recording systems limits traceability. High initial investment and maintenance costs of identification systems are a barrier, especially for small farms.

SWOT Analysis

Strength: Traceability enables better disease control and food safety. Identification aids in herd management and tracking performance.
Weakness: Lack of global standards leads to issues in traceability across borders. Systems need frequent upgrades making them expensive.
Opportunity: Scope for integrating identification with activity monitoring and other farm management tools. Growing demand for traceability offers market potential.
Threats: Non-compliance reduces effectiveness. Technological disruptions may make existing solutions obsolete quickly.

Geographical regions of concentration

In terms of value, the market is currently concentrated in North America and Western Europe due to stringent regulations and larger individual farm sizes. Majority of farms have adopted electronic identification here.

Fastest growing region

The Asia Pacific region is expected to witness fastest growth during the forecast period. Factors like growing meat consumption, implementation of identification policies and expansion of organized livestock farming are driving increased adoption of identification systems in India and China.

*Note:
1. Source: Coherent Market Insights, Public sources, Desk research
2. We have leveraged AI tools to mine information and compile it