가축 식별 시장 : 세계 산업 규모, 점유율, 동향, 기회, 예측, 제품 유형별, 기술별, 용도별, 경쟁 지역별, 시장 경쟁별(2019-2029년)
Livestock Identification Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented By Product Type, By Technology, By Application, By Component, By Region & Competition, 2019-2029F
상품코드 : 1613990
리서치사 : TechSci Research
발행일 : 2024년 12월
페이지 정보 : 영문 181 Pages
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한글목차

세계의 가축 식별 시장 규모는 2023년에 43억 달러, 2029년에는 76억 9,000만 달러에 달할 것으로 예측되며, 2029년까지 CAGR은 10%로 예측 기간의 견고한 성장을 예측하고 있습니다. 세계의 가축 식별 시장은 효과적인 가축 관리와 이력추적에 대한 요구의 증가에 의해 촉진되며 강력한 성장을 달성하고 있습니다. RFID(Radio Frequency Identification) 및 GPS 기반 솔루션과 같은 식별 기술의 발전으로 공급망 전반에 걸쳐 가축을 모니터링하고 추적할 수 있게 됨에 따라 세계 가축 식별 시장은 효과적인 가축 관리 및 추적에 대한 수요 증가에 힘입어 강력한 성장세를 보이고 있습니다. 공급망 전반에 걸쳐 가축을 모니터링하고 추적하는 방식에 혁명을 불러일으키고 있습니다. 이러한 기술은 정확도 향상, 실시간 데이터 및 추적성 개선을 통해 효율적인 가축 관리, 식품 안전 보장 및 규제 요건 준수에 필수적입니다. 또한 질병 발생 위험을 줄이고 동물 복지를 강화하는 데 점점 더 중점을 두게 되면서 시장 확대에 박차를 가하고 있습니다. 더 나은 기록 관리, 최적화된 번식, 간소화된 운영을 가능하게 하는 스마트 농업과 기술 혁신의 채택도 시장 성장에 기여하고 있습니다. 또한 첨단 식별 시스템 사용을 장려하는 정부의 구상과 규제가 시장 개척을 지원하고 있습니다. 고품질의 추적 가능한 육류 제품에 대한 세계 수요가 지속적으로 증가함에 따라 가축 식별 시장은 기술 발전과 업계의 요구가 증가함에 따라 크게 성장할 수 있는 여건이 조성되고 있습니다.

시장 개요
예측 기간 2025-2029
시장 규모 : 2023년 43억 달러
시장 규모 : 2029년 76억 9,000만 달러
CAGR : 2024-2029년 10%
급성장 부문 질병 관리·컨트롤
최대 시장 북미

시장 성장 촉진요인

식별 시스템의 기술적 진보

동물 건강과 복지에 대한 관심의 증가

정부의 규제와 지원

주요 시장이 해결해야 할 과제

높은 도입 비용

기존 시스템과의 통합

데이터 보안과 프라이버시에 관한 우려

기술적 한계와 신뢰성

주요 시장 동향

IoT와 가축 식별 통합

이력추적 강화를 위한 블록체인의 채택

동물 복지와 윤리적 관행에 대한 주목의 증가

자동 식별 시스템의 확대

모바일 및 클라우드 기반 솔루션의 성장

목차

제1장 개요

제2장 조사 방법

제3장 개요

제4장 COVID-19가 세계의 가축 식별 시장에 미치는 영향

제5장 고객의 소리

제6장 세계의 가축 식별 시장 개요

제7장 세계의 가축 식별 시장 전망

제8장 북미의 가축 식별 시장 전망

제9장 유럽의 가축 식별 시장 전망

제10장 남미의 가축 식별 시장 전망

제11장 중동 및 아프리카의 가축 식별 시장 전망

제12장 아시아태평양의 가축 식별 시장 전망

제13장 시장 역학

제14장 시장 동향과 발전

제15장 기업 개요

제16장 전략적 제안

제17장 TechSci Research 소개·면책사항

KSA
영문 목차

영문목차

Global Livestock Identification Market was valued at USD 4.3 Billion in 2023 and is expected to reach at USD 7.69 Billion in 2029 and project robust growth in the forecast period with a CAGR of 10% through 2029. The Global Livestock Identification Market is experiencing robust growth, driven by the escalating need for effective livestock management and traceability. Advances in identification technologies, such as RFID (Radio Frequency Identification) and GPS-based solutions, are revolutionizing how livestock are monitored and tracked throughout the supply chain. These technologies offer enhanced accuracy, real-time data, and improved traceability, which are crucial for managing herds efficiently, ensuring food safety, and complying with regulatory requirements. Additionally, the increasing focus on reducing the risk of disease outbreaks and enhancing animal welfare is fueling market expansion. The adoption of smart farming practices and technological innovations is also contributing to the market's growth, as they enable better record-keeping, optimized breeding, and streamlined operations. Furthermore, government initiatives and regulations promoting the use of advanced identification systems are supporting market development. As the global demand for high-quality, traceable meat products continues to rise, the livestock identification market is poised for significant expansion, driven by technological advancements and increasing industry needs.

Market Overview
Forecast Period2025-2029
Market Size 2023USD 4.3 Billion
Market Size 2029USD 7.69 Billion
CAGR 2024-202910%
Fastest Growing SegmentDisease management & control
Largest MarketNorth America

Key Market Drivers

Technological Advancements in Identification Systems

The rapid advancement in livestock identification technologies is a major driver for the Global Livestock Identification Market. Innovations such as Radio Frequency Identification (RFID), GPS tracking, and biometric systems are transforming how livestock is monitored and managed. RFID technology, in particular, has become a cornerstone in modern livestock identification due to its ability to offer precise, real-time data about each animal. RFID tags provide unique identification numbers that can be scanned to quickly access detailed information on an animal's health, breeding history, and movements. This technology enhances efficiency in livestock management, reduces human error, and ensures more reliable tracking throughout the supply chain.

Furthermore, the integration of GPS technology allows for real-time tracking of livestock, providing insights into their location and movement patterns. This capability is crucial for managing large herds, preventing theft, and ensuring that animals remain within designated areas. Biometric systems, such as facial recognition or iris scanning, are also emerging trends that offer even greater accuracy in identifying individual animals. These technological advancements not only streamline operations but also improve traceability and compliance with regulatory standards, driving the growth of the livestock identification market.

Increasing Focus on Animal Health and Welfare

An increased focus on animal health and welfare is driving the Global Livestock Identification Market. Effective identification systems are critical for monitoring and managing the health of livestock, enabling early detection of diseases and improving overall animal welfare. Advanced identification technologies, such as RFID and biometric systems, provide valuable insights into an animal's health status, allowing for timely medical interventions and better management practices.

By tracking individual animals' health records and movements, farmers can identify patterns that may indicate health issues, thereby preventing disease outbreaks and enhancing the well-being of the herd. This focus on animal welfare aligns with growing consumer expectations for humane treatment of livestock and regulatory requirements for animal care. As a result, investments in identification systems that improve animal health and welfare are increasing, driving market demand and growth.

Government Regulations and Support

Government regulations and support are significant drivers for the Global Livestock Identification Market. Many countries have implemented or are in the process of implementing regulations that mandate the use of advanced identification systems for livestock. These regulations are aimed at improving traceability, food safety, and biosecurity within the agricultural sector.

For example, regulations in the European Union and the United States require electronic identification of livestock to ensure accurate tracking and management. Governments also provide subsidies and incentives to encourage the adoption of advanced technologies in agriculture. These policies not only support the implementation of identification systems but also stimulate innovation and market growth. As governments continue to prioritize agricultural modernization and food safety, the demand for effective livestock identification solutions is expected to rise, bolstering the market.

Key Market Challenges

High Implementation Costs

One of the primary challenges facing the Global Livestock Identification Market is the high implementation costs associated with advanced identification systems. The initial investment required for installing sophisticated technologies, such as RFID tags, readers, and biometric systems, can be substantial. For many livestock producers, especially those operating on a smaller scale or in developing regions, these costs can be prohibitive. This financial barrier hinders the widespread adoption of these technologies, limiting their potential benefits.

Furthermore, the cost of maintaining and updating these systems adds to the financial burden. Regular maintenance, data management, and technological upgrades are necessary to ensure the continued effectiveness and accuracy of identification systems. For smaller farms and businesses, these ongoing costs can be challenging to manage, impacting their overall profitability and willingness to invest in such technologies. Addressing these cost-related challenges requires innovative solutions, such as financial incentives, subsidies, or more affordable technology options, to make advanced livestock identification systems more accessible and economically viable for a broader range of stakeholders.

Integration with Existing Systems

The significant challenge is integrating new livestock identification technologies with existing systems and infrastructure. Many farms and livestock operations already have established processes and legacy systems for managing livestock. The introduction of advanced identification technologies, such as RFID or GPS tracking, necessitates seamless integration with these existing systems to ensure compatibility and data consistency.

This integration process can be complex and resource-intensive, requiring technical expertise and potentially leading to operational disruptions. For example, data from new identification systems must be integrated with current record-keeping and management systems to provide a cohesive and comprehensive overview of livestock. Additionally, there may be resistance from stakeholders accustomed to traditional methods, complicating the transition to new technologies. Addressing this challenge involves providing robust support and training to facilitate smooth integration and ensuring that new systems are designed with compatibility in mind.

Data Security and Privacy Concerns

Data security and privacy concerns pose a significant challenge in the Global Livestock Identification Market. Advanced identification systems generate and store vast amounts of sensitive data, including detailed information about individual animals, their health, and their movements. Ensuring the security of this data is crucial to prevent unauthorized access, data breaches, and potential misuse.

As identification systems become more interconnected and data is transmitted across various platforms, the risk of cyberattacks and data theft increases. Protecting this data requires implementing robust cybersecurity measures, including encryption, secure access controls, and regular security audits. Additionally, stakeholders must adhere to data protection regulations and standards to ensure compliance and build trust among users. Addressing these security and privacy concerns is essential for maintaining the integrity of identification systems and ensuring their continued adoption and effectiveness in livestock management.

Technological Limitations and Reliability

Technological limitations and reliability issues present challenges in the Global Livestock Identification Market. While advancements in identification technologies have made significant strides, issues related to the reliability and performance of these systems can impact their effectiveness. For example, RFID tags may encounter interference from environmental factors or physical obstructions, affecting their accuracy and reliability in certain conditions.

Moreover, the durability and lifespan of identification tags are critical for ensuring consistent performance. Tags that are prone to wear and tear or environmental damage may require frequent replacements, increasing operational costs. Additionally, technological advancements must continuously address evolving needs and challenges, requiring ongoing research and development. Ensuring that identification systems are robust, reliable, and capable of operating under various conditions is crucial for their successful implementation and long-term adoption in livestock management.

Key Market Trends

Integration of IoT with Livestock Identification

The integration of Internet of Things (IoT) technologies with livestock identification systems is a significant trend shaping the Global Livestock Identification Market. IoT-enabled devices are increasingly being used to enhance the functionality of traditional identification systems. By connecting RFID tags, GPS trackers, and biometric sensors to IoT networks, farmers and livestock managers can access real-time data and analytics on animal health, location, and behavior. This integration allows for more precise monitoring and management, improving decision-making and operational efficiency.

IoT integration facilitates the creation of comprehensive data ecosystems where information from various sources is aggregated and analyzed. For example, sensors monitoring an animal's vital signs can provide alerts for health issues, while GPS trackers can optimize pasture management and prevent livestock from straying. The continuous flow of data enables predictive analytics, which can forecast potential issues before they escalate. This trend is driven by advancements in connectivity technologies and the growing demand for data-driven insights in agriculture, offering farmers enhanced control over their operations and supporting more sustainable livestock management practices.

Adoption of Blockchain for Enhanced Traceability

Blockchain technology is emerging as a key trend in the Global Livestock Identification Market, particularly for enhancing traceability and transparency. Blockchain offers a decentralized and immutable ledger that can securely record every transaction and movement in the supply chain. When applied to livestock identification, blockchain ensures that data regarding animal health, origin, and processing history is accurately recorded and easily accessible throughout the supply chain.

This trend addresses critical concerns related to food safety, fraud prevention, and regulatory compliance. By creating a tamper-proof record of each animal's journey from farm to table, blockchain enhances consumer trust and provides a clear audit trail for regulatory inspections. Companies are leveraging blockchain to build robust systems that verify the authenticity of meat products, support fair trade practices, and streamline supply chain operations. As consumers increasingly demand transparency and accountability, blockchain is becoming a vital tool for ensuring the integrity and reliability of livestock products.

Increased Focus on Animal Welfare and Ethical Practices

The growing emphasis on animal welfare and ethical farming practices is significantly influencing the Global Livestock Identification Market. Consumers and regulatory bodies are placing greater importance on humane treatment of animals, which is driving the adoption of advanced identification systems that monitor and manage animal welfare more effectively. Identification technologies are being used to track health conditions, manage living environments, and ensure that animals are treated according to welfare standards.

For example, systems that provide real-time health data can help detect and address issues such as illness or injury promptly, minimizing suffering and improving overall animal well-being. Additionally, compliance with welfare regulations is increasingly becoming a market requirement, pushing producers to invest in technologies that ensure adherence to ethical standards. This trend is driven by heightened consumer awareness and demand for responsibly sourced products, leading to greater investment in technologies that support ethical farming and enhance the overall quality of livestock management.

Expansion of Automated Identification Systems

The expansion of automated identification systems is a notable trend in the Global Livestock Identification Market. Automation is transforming traditional livestock management practices by integrating advanced technologies that reduce manual intervention and enhance operational efficiency. Automated systems, such as automated RFID readers and smart gates, streamline processes such as data collection, monitoring, and record-keeping.

This trend is driven by the need for greater efficiency and accuracy in livestock management. Automated identification systems can handle large volumes of data and operate continuously without human error, making them ideal for large-scale operations. For instance, automated systems can facilitate the rapid processing of animals at entry and exit points, track individual animal movements, and update records in real-time. The shift towards automation reflects the broader trend of digital transformation in agriculture, where technology is increasingly used to optimize operations and improve productivity.

Growth in Mobile and Cloud-Based Solutions

The rise of mobile and cloud-based solutions is reshaping the Global Livestock Identification Market. Mobile applications and cloud platforms are being increasingly adopted to manage and analyze livestock identification data. These solutions offer flexibility, accessibility, and scalability, enabling farmers and managers to access data and insights from anywhere and at any time.

Cloud-based systems allow for centralized data storage and management, facilitating the integration of data from multiple sources and providing a comprehensive view of livestock operations. Mobile applications enable real-time data entry and access, enhancing the ease of use and decision-making on the go. This trend is driven by advancements in mobile technology, the increasing availability of high-speed internet, and the need for more accessible and user-friendly management tools. The adoption of mobile and cloud-based solutions supports the growing demand for real-time information and remote management capabilities, further advancing the efficiency and effectiveness of livestock identification systems.

Segmental Insights

Component Insights

The hardware segment dominated the Global Livestock Identification Market and is expected to maintain its leading position throughout the forecast period. This segment includes various physical components such as RFID tags, ear tags, microchips, and bolus tags, which are integral to livestock identification systems. The dominance of hardware can be attributed to the essential role these components play in the effective operation of identification technologies. RFID tags and ear tags, in particular, are widely used due to their reliability, ease of integration, and ability to provide accurate, real-time data on livestock. These hardware components are crucial for tracking and monitoring animals, managing herd health, and ensuring traceability throughout the supply chain.

The demand for robust and durable hardware solutions is driven by their critical function in livestock management. As the agricultural sector increasingly adopts advanced technologies for improving operational efficiency and animal welfare, the need for reliable hardware solutions remains high. The ongoing advancements in hardware technology, such as improved tag durability and enhanced data transmission capabilities, further support the growth of this segment. Additionally, the high initial investment in hardware components, compared to software and services, solidifies its market dominance, as these are often viewed as foundational elements of livestock identification systems. The continued emphasis on technological upgrades and the expansion of smart farming practices are expected to sustain the hardware segment's leading role in the market.

Regional Insights

North America dominated the Global Livestock Identification Market and is projected to maintain its leading position throughout the forecast period. This region's dominance is driven by a combination of advanced technological infrastructure, significant investments in agriculture technology, and strong regulatory frameworks that promote the use of sophisticated livestock identification systems. The United States and Canada, in particular, have been at the forefront of adopting and implementing advanced identification technologies such as RFID tags and electronic tracking systems. These technologies are widely used for enhancing traceability, improving herd management, and ensuring compliance with stringent food safety regulations.

North America's leadership in the market is also supported by its large-scale livestock operations and a high level of awareness regarding the benefits of advanced identification systems. The region's robust agricultural sector, characterized by extensive commercial farming and a focus on precision agriculture, drives the demand for efficient and reliable livestock tracking solutions. Additionally, government initiatives and industry associations in North America advocate for the adoption of modern identification technologies to improve animal health, biosecurity, and traceability in the food supply chain. The continuous advancements in technology and the growing emphasis on data-driven livestock management further reinforce North America's dominant position in the market. As the region continues to invest in innovative solutions and expand its technological capabilities, it is well-positioned to maintain its market leadership in the Global Livestock Identification Market.

Key Market Players

Report Scope:

In this report, the Global Livestock Identification Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

Livestock Identification Market, By Component:

Livestock Identification Market, By Product Type:

Livestock Identification Market, By Application:

Livestock Identification Market, By Application:

Livestock Identification Market, By Region:

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global Livestock Identification Market.

Available Customizations:

Global Livestock Identification market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

Table of Contents

1. Product Overview

2. Research Methodology

3. Executive Summary

4. Impact of COVID-19 on Global Livestock Identification Market

5. Voice of Customer

6. Global Livestock Identification Market Overview

7. Global Livestock Identification Market Outlook

8. North America Livestock Identification Market Outlook

9. Europe Livestock Identification Market Outlook

10. South America Livestock Identification Market Outlook

11. Middle East & Africa Livestock Identification Market Outlook

12. Asia Pacific Livestock Identification Market Outlook

13. Market Dynamics

14. Market Trends and Developments

15. Company Profiles

16. Strategic Recommendations

17. About Us & Disclaimer

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