市场调查报告书
商品编码
1449670
牲畜识别市场:按产品类型、按动物类型、按技术、按应用、按成分、按地区Livestock Identification Market, By Product Type, By Animal Type, By Technology, By Application, By Component, By Geography |
2024年,牲畜识别市场规模为38.3亿美元,预计到2031年将达到73.5亿美元,2024年至2031年的复合年增长率为9.8%。
报告范围 | 报告详情 | ||
---|---|---|---|
基准年 | 2023年 | 2023/2024年市场规模 | 38.3亿美元 |
实际资料 | 2019-2023 | 预测期 | 2024-2031 |
预测期间 2023/2024 至 2030/2031 年复合年增长率: | 9.80% | 2030/2031价值预测 | 73.5亿美元 |
牲畜识别市场在牲畜管理和追踪中发挥重要作用。牲畜识别采用多种技术和方法对牲畜进行唯一识别和监控,确保牲畜的健康、安全和可追溯性。由于对高效牲畜管理系统的需求不断增长以及对准确资料收集的需求,该市场近年来经历了显着增长。牲畜识别解决方案应用于多个领域,包括酪农、牛肉生产、家禽养殖和养猪业。这些解决方案使农民和牧场主能够监测牲畜的健康和行为,追踪牲畜的活动,并确保为育种和遗传目的进行正确的识别。牲畜识别系统不仅有助于疾病控制和预防,还有助于遵守与动物福利和食品安全相关的监管要求。
牲畜识别市场的主要企业包括Allflex、Datamars、Leader Products、IDEXX Animana、Ever.Ag、Connectra、CowManager、HerdInsights、Moocall、BouMatic、CSIRO、Ardes、LAIPSON、Stockbrands、MS Schippers、Caisley International.GMBH等。 。
随着畜牧业不断发展并采用数位技术,牲畜识别市场可望显着成长。本研究报告旨在对牲畜识别市场进行全面分析,涵盖市场规模、成长率、主要趋势、市场驱动因素、限制因素、主要市场参与者采取的竞争策略等。这项研究的见解将使行业相关人员能够就产品发布、市场扩张和行销策略做出明智的决策,最终推动牲畜识别市场的成长和发展。
牲畜识别市场是由塑造产业格局的几个因素所驱动的。关键驱动因素之一是对高效能牲畜管理系统的需求不断增长。满足不断增长的全球人口和不断增加的畜产品需求的需要促使农民和牧场主寻求先进的解决方案来提高生产力和优化营运。牲畜识别系统使您能够监控牲畜的健康、行为和生产力,从而提高效率和盈利。市场的另一个驱动因素是对准确资料收集和可追溯性的需求。牲畜识别解决方案提供了一种收集和分析与动物健康、遗传学和性能相关的资料的方法。这些资料对于做出生殖、营养和疾病管理的明智决策至关重要。随着消费者要求食品供应链的透明度和课责,可追溯性在畜牧业中变得越来越重要。牲畜识别系统可以追踪牲畜从农场到餐桌的整个过程,从而确保食品安全和品质。
然而,市场上也存在着阻碍成长的因素。主要挑战之一是实施牲畜识别系统的成本高昂。特别是对于小规模农民来说,购买和安装必要的硬体和软体所需的初始投资可能很大。传统农民尤其可能对采用数位解决方案犹豫不决,并且可能会抵制变革和采用新技术。
儘管存在这些挑战,牲畜识别市场仍存在一些成长机会。物联网(IoT)和人工智慧(AI)技术在畜牧业中的日益采用预计将推动对先进牲畜识别解决方案的需求。这些技术可实现即时监控、预测分析和自动化,从而提高效率和生产力。此外,对动物福利和永续性的日益关注正在为创新的牲畜识别解决方案创造机会,从而促进动物健康并减少对环境的影响。
总之,牲畜识别市场是由对高效能牲畜管理系统、准确资料收集和可追溯性的需求所驱动的。儘管存在高成本和变革阻力等挑战需要克服,但透过采用物联网和人工智慧技术也存在成长机会。透过提供对市场趋势、驱动因素、阻碍因素和竞争策略的洞察,该报告旨在帮助相关人员做出明智的决策并推动牲畜识别市场的成长。
The livestock identification Market size is valued at US$ 3.83 Bn in 2024 and is expected to reach US$ 7.35 Bn by 2031, growing at a compound annual growth rate (CAGR) of 9.8% from 2024 to 2031.
Report Coverage | Report Details | ||
---|---|---|---|
Base Year: | 2023 | Market Size in 2023/2024: | US$ 3.83 Bn |
Historical Data for: | 2019 to 2023 | Forecast Period: | 2024 - 2031 |
Forecast Period 2023/2024 to 2030/2031 CAGR: | 9.80% | 2030/2031 Value Projection: | US$ 7.35 Bn |
The livestock identification market plays a crucial role in the management and tracking of livestock animals. Livestock identification involves the use of various technologies and methods to uniquely identify and monitor animals, thus ensuring their health, safety, and traceability. This market has witnessed significant growth in recent years, driven by the increasing demand for efficient livestock management systems and the need for accurate data collection. Livestock identification solutions are used across various sectors, including dairy farming, beef production, poultry farming, and swine production. These solutions enable farmers and ranchers to monitor the health and behavior of their animals, track their movement, and ensure proper identification for breeding and genetic purposes. Livestock identification systems help in disease control and prevention, as well as in complying with regulatory requirements related to animal welfare and food safety.
Key players in the livestock identification market include Allflex, Datamars, Leader Products, IDEXX Animana, Ever.Ag, Connectra, CowManager, HerdInsights, Moocall, BouMatic, CSIRO, Ardes,LAIPSON, Stockbrands, MS Schippers, and Caisley International.GMBH
As the livestock industry continues to evolve and embrace digital technologies, the livestock identification market is expected to witness significant growth. This market research study aims to provide a comprehensive analysis of the livestock identification market, including market size, growth rate, key trends, drivers, restraints, and competitive strategies adopted by key market players. The insights from this study will enable stakeholders in the industry to make informed decisions regarding product launches, market expansion, and marketing tactics, ultimately driving the growth and development of the livestock identification market.
The livestock identification market is driven by several factors that are shaping the industry landscape. One of the key drivers is the increasing demand for efficient livestock management systems. With the growing global population and the need to meet the rising demand for animal-based products, farmers and ranchers are seeking advanced solutions to enhance productivity and optimize their operations. Livestock identification systems enable them to monitor the health, behaviour, and productivity of their animals, thus leading to improved efficiency and profitability. Another driver of the market is the need for accurate data collection and traceability. Livestock identification solutions provide a means to collect and analyze data that is related to animal health, genetics, and performance. This data is crucial for making informed decisions regarding breeding, nutrition, and disease control. Traceability is becoming increasingly important in the livestock industry, as consumers demand transparency and accountability in the food supply chain. Livestock identification systems enable the tracking of animals from farm to fork, thereby ensuring food safety and quality.
However, the market also faces certain restraints that may hinder its growth. One of the major challenges is the high cost that is associated with implementing livestock identification systems. The initial investment that is required for purchasing and installing the necessary hardware and software can be significant, especially for small-scale farmers. There may be resistance to change and adoption of new technologies, particularly among traditional farmers who may be hesitant to embrace digital solutions.
Despite these challenges, the livestock identification market presents several opportunities for growth. Increasing adoption of internet of things (IoT) and Artificial Intelligence (AI) technologies in the livestock industry is expected to drive the demand for advanced livestock identification solutions. These technologies enable real-time monitoring, predictive analytics, and automation, thus leading to improved efficiency and productivity. Furthermore, the growing focus on animal welfare and sustainability is creating opportunities for innovative livestock identification solutions that promote animal health and reduce environmental impact.
In conclusion, the livestock identification market is driven by the need for efficient livestock management systems, accurate data collection, and traceability. While there are challenges to overcome, such as high costs and resistance to change, the market also presents opportunities for growth through the adoption of IoT and AI technologies. By providing insights into market trends, drivers, restraints, and competitive strategies, this study aims to assist stakeholders in making informed decisions and driving the growth of the livestock identification market.