PUBLISHER: DataM Intelligence | PRODUCT CODE: 1423488
PUBLISHER: DataM Intelligence | PRODUCT CODE: 1423488
Global Livestock Identification Market reached US$ 3.67 billion in 2022 and is expected to reach US$ 7.94 billion by 2030, growing with a CAGR of 10.12% during the forecast period 2023-2030.
Ethical considerations for the welfare of livestock are driving the adoption of identification systems that enable better management of individual animal health, nutrition, and living conditions. Collaborative efforts among research institutions, technology companies, and the agricultural sector are fostering innovation in livestock identification, leading to the development of more sophisticated and efficient solutions
In October 2023, Edo State, in Benin, a country in West Africa, announced the introduction of the National Animal Identification and Traceability System (NAITS), a historic initiative to solve issues facing the livestock industry. By guaranteeing affordability and fostering harmony between crop farmers and livestock producers, the state-of-the-art system aims to increase domestic livestock production.
Cattle account for over half of the market share due to the increasing use of identification solutions to track cattle production and health records. Similarly, Europe dominates the Livestock Identification market, capturing the largest market share. In September 2022, Avril's animal feed arm, Sanders, introduced a one-time €6 million ($5.9 million) relief program for French livestock producers. The program seeks to encourage farm transfers, installations, and development to support the long-term viability of French livestock.Dynamics
Increasing Number of Livestock Farms
One major factor driving the livestock identification market's growth is the increasing number of livestock farms in the world. With 536.76 million livestock overall, the livestock population in India has increased by 4.8% during the 2012 Livestock Census, according to the 20th Livestock Census conducted by the Department of Animal Husbandry & Dairying, Ministry of Fisheries, Animal Husbandry and Dairying. More and more farms raising cattle, chickens, pigs, and other livestock require effective and trustworthy identifying systems to track, manage, and oversee these animals over their lives.
Every farm with livestock needs strong identification methods for individual animal tracking, health monitoring, and accurate record keeping. Therefore, modern identification technologies such as RFID tags, ear tags, or electronic identification systems are necessary for farm management purposes, regulatory compliance, and facilitating traceability in the supply chain.
The growth of the market for livestock identification is greatly driven by government regulations, especially regarding animal health and food safety. These guidelines are strictly followed all over the world and require that all supply chains must have measures of tracing back to their sources as well as identifying all animals. The point of these directives is disease prevention, avoiding possible outbreaks, and ensuring quality and standards in any product derived from livestock reaching consumers.
Implementation of strong livestock identification systems facilitates animal tracking, health records, and source determination by authorities and stakeholders. In November 2023, The government of Uganda collaborated with Makerere University and launched an electronic livestock identification and traceability system. The system's purpose is to track animals from the farm to their final destinations.
High Cost of Electronic Identification Devices Such as RFID Tags and Readers
The livestock identification market is facing a major hurdle in the form of high costs involved in electronic identification devices such as RFID tags and readers. Smaller or resource-constrained livestock producers have a financial challenge to meet when it comes to purchasing RFID tags, readers, and associated infrastructure.
Farmers who wish to adopt these systems face a huge financial burden from the cost of RFID tags and readers; infrastructural requirements such as software integration further escalate the costs. Farmers are also compelled to budget for recurrent expenses on maintenance, replacement, and upgrading of these electronic identification devices which increases the overall cost of ownership thus inhibiting the willingness of farmers to invest in technology of this nature.
The global livestock identification market is segmented based on offering, device lifecycle, livestock, technology and region.
Increasing Use of Identification Solutions to Track Cattle Production and Health Records
The livestock identification market is dominated by cattle, which play a vital role in the global agricultural sector. With their ability to provide meat, dairy products, and other valuable resources, maintaining effective identification and tracking systems for these animals becomes of utmost importance. The cattle industry relies on robust livestock identification practices primarily due to the need for disease control, traceability measures, and streamlined supply chain management.
In recent years, technological advancements have revolutionized the field of livestock identification within the cattle sector. In June 2021, Dvara e-Dairy Solutions Pvt. Ltd. announced that it has partnered with IFFCO Tokio General Insurance to offer a digital cattle identity solution for insurance that is powered by artificial intelligence (AI).
Europe's Substantial Livestock Population
The European livestock industry is diverse and well-established, encompassing a range of species such as cattle, sheep, goats, and pigs. The EU has a substantial livestock population. According to Eurostat, On EU farms in 2020, there were an anticipated 75 million sheep and goats, 76 million cattle (cattle or buffalo), and 146 million pigs. The need for efficient management and monitoring of this extensive livestock population further drives the demand for identification solutions.
Moreover, the European Union (EU) has stringent regulations and standards regarding traceability and identification of livestock. These regulations are designed to ensure food safety, animal health, and overall quality of agricultural products. These policies have incentivized the adoption of advanced livestock identification technologies by farmers and livestock owners across Europe.
The market for cattle identification has been greatly influenced by the COVID-19 outbreak. The manufacturing and distribution of identifying technologies have been complicated by disruptions in the global supply chain, which has an impact on the accessibility and prompt installation of these systems. Farmers' spending priorities have also been impacted by the pandemic's economic uncertainty.
Farmer adoption and integration of new identifying technology have been impeded by the pandemic's lockdowns and movement restrictions, which have disrupted the usual operation of livestock-related activities. As a result, the market for livestock identification has grown more slowly overall.
The market for livestock identification has been significantly impacted by the conflict between Russia and Ukraine, especially in the afflicted areas. Agriculture-related operations, such as managing cattle, have been disrupted by the conflict, making it difficult to establish and maintain identifying systems.
The implementation of improved livestock identification technologies has been impeded by war-related concerns, such as economic instability and logistical interruptions. When faced with violence and displacement, farmers and livestock owners may put more importance on meeting their fundamental survival needs than on spending money on advanced identification techniques.
The major global players in the market include Merck & Co., Inc., Datamars, Nedap Livestock Management, Schippers Export EU BV, Livestock Improvement Corporation Ltd, CAISLEY International, Kupsan Tag Company, Luoyang Laipson Information Technology Co., Ltd, Leader Products, LAIPSON INFORMATION TECHNOLOGY CO., LTD.
The global livestock identification market report would provide approximately 70 tables, 63 figures and 212 Pages.
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