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Global Livestock Monitoring & Identification Market to reach USD 5766.26 Million by the end of 2030.

Global Livestock Monitoring & Identification Market Size study & Forecast, by Component (Hardware, Software, Services), by End Use (Dairy Farm, Beef Farm, Sheep Farm, Deer Farm, Goat and Pig Farm) and Regional Analysis, 2023-2030

Product Code: OIRAL-40130263
Publish Date: 20-02-2024
Page: 200

Global Livestock Monitoring & Identification Market is valued at approximately USD 2396.54 Million in 2022 and is anticipated to grow with a healthy growth rate of more than 11.6% during the forecast period 2023-2030. Livestock monitoring and identification involve the use of technology to track and manage the well-being and location of animals in agricultural settings. These technologies enable real-time tracking of individual animals or entire herds, providing valuable insights into their grazing patterns, activity levels, and overall health. The Livestock Monitoring & Identification Market is expanding because of factors such as rising adoption of precision livestock farming, rising demand for efficient farming practices, and increasing demand and consumption of poultry products.

The surge in poultry meat consumption globally is a significant driving force behind the growth of the Livestock Monitoring & Identification Market. As the demand for poultry products continues to rise due to factors such as population growth, urbanization, and changing dietary preferences, farmers are under increasing pressure to enhance the efficiency and productivity of poultry farming. As global demand for poultry products continues to surge, farmers and producers are increasingly turning to advanced monitoring and identification technologies to enhance efficiency, ensure the health and welfare of their poultry, and meet the rising market requirements. As reported by Statista in 2021, global meat consumption experienced a significant doubling, reaching 324 million metric tons in the year 2020. Data from the Organization for Economic Cooperation and Development suggests that poultry meat is expected to continue being a primary driver of growth in meat production throughout 2021, albeit at a more moderate pace compared to the preceding decade. Furthermore, projections indicate an estimated consumption of 371,675 kilotons of meat by the year 2030. In addition, Increased investment in Agriculture Technology (AgTech) and Government initiatives promoting sustainable agriculture and the welfare of livestock are creating new opportunities for market growth. However, the high implementation costs and lack of awareness and education stifle market growth throughout the forecast period of 2023-2030.

The key regions considered for the Global Livestock Monitoring & Identification Market study includes Asia Pacific, North America, Europe, Latin America, and Middle East & Africa. North America dominated the market in 2022. The North American region has witnessed significant technological advancements and a heightened commitment to adopting agricultural solutions, particularly in countries such as Canada and the United States. Moreover, the growth rate of animal food and byproduct consumption, compels local meat and dairy producers to enhance their supply chains in the region creating demand for the adoption of livestock monitoring solutions in the region. Europe is expected to grow significantly over the forecast period, owing to factors such as rising adoption of precision farming technology, and rising consumption and demand for meat and dairy products in the region.

Major market player included in this report are:
HerdX, Inc
Afimilk Agricultural Cooperative Ltd.
infsoft GmbH
Zee Tags Ltd.
Quantified AG
Allflex (SCR Engineers Ltd.)
Connecterra B.V.
ID Tech Solutions Private Limited
Shearwell Australia
Y-Tex Corporation

Recent Developments in the Market:
Ø In March 2022, the KCB Foundation announced the launch of a livestock monitoring system in Taita-Taveta. This system aims to assist farmers in ensuring that their livestock meets the necessary standards of animal health.
Ø In March 2022, Allflex Livestock Intelligence introduced a subscription-based model for its SenseHub beef and dairy cow monitoring solutions. This innovative approach empowers farmers to utilize the SenseHub system without an initial financial outlay, opting instead for a convenient monthly fee covering essential components such as equipment, installation, tags, and applications. This flexible subscription model enables users to adapt or expand their systems as their needs evolve.

Global Livestock Monitoring & Identification Market Report Scope:
ü Historical Data – 2020 – 2021
ü Base Year for Estimation – 2022
ü Forecast period – 2023-2030
ü Report Coverage – Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
ü Segments Covered – Component, End Use, Region
ü Regional Scope – North America; Europe; Asia Pacific; Latin America; Middle East & Africa
ü Customization Scope – Free report customization (equivalent up to 8 analyst’s working hours) with purchase. Addition or alteration to country, regional & segment scope*

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.

The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:

By Component:

By End Use:
Dairy Farm
Beef Farm
Sheep Farm
Deer Farm
Goat and Pig Farm

By Region:

North America


Asia Pacific
South Korea

Latin America

Middle East & Africa
Saudi Arabia
South Africa
Rest of Middle East & Africa

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2020-2030 (USD Million)
1.2.1. Livestock Monitoring & Identification Market, by Region, 2020-2030 (USD Million)
1.2.2. Livestock Monitoring & Identification Market, by Component, 2020-2030 (USD Million)
1.2.3. Livestock Monitoring & Identification Market, by End Use, 2020-2030 (USD Million)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Livestock Monitoring & Identification Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Industry Evolution
2.2.2. Scope of the Study
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Livestock Monitoring & Identification Market Dynamics
3.1. Livestock Monitoring & Identification Market Impact Analysis (2020-2030)
3.1.1. Market Drivers Rising adoption of precision livestock farming Rising demand for efficient farming practices, Increasing demand and consumption of poultry products
3.1.2. Market Challenges High implementation costs Lack of awareness and education
3.1.3. Market Opportunities Increased investment in Agriculture Technology (AgTech) Government initiatives promoting sustainable agriculture and the welfare of livestock
Chapter 4. Global Livestock Monitoring & Identification Market Industry Analysis
4.1. Porter’s 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.2. Porter’s 5 Force Impact Analysis
4.3. PEST Analysis
4.3.1. Political
4.3.2. Economical
4.3.3. Social
4.3.4. Technological
4.3.5. Environmental
4.3.6. Legal
4.4. Top investment opportunity
4.5. Top winning strategies
4.6. COVID-19 Impact Analysis
4.7. Disruptive Trends
4.8. Industry Expert Perspective
4.9. Analyst Recommendation & Conclusion
Chapter 5. Global Livestock Monitoring & Identification Market, by Component
5.1. Market Snapshot
5.2. Global Livestock Monitoring & Identification Market by Component, Performance – Potential Analysis
5.3. Global Livestock Monitoring & Identification Market Estimates & Forecasts by Component 2020-2030 (USD Million)
5.4. Livestock Monitoring & Identification Market, Sub Segment Analysis
5.4.1. Hardware
5.4.2. Software
5.4.3. Services
Chapter 6. Global Livestock Monitoring & Identification Market, by End Use
6.1. Market Snapshot
6.2. Global Livestock Monitoring & Identification Market by End Use, Performance – Potential Analysis
6.3. Global Livestock Monitoring & Identification Market Estimates & Forecasts by End Use 2020-2030 (USD Million)
6.4. Livestock Monitoring & Identification Market, Sub Segment Analysis
6.4.1. Dairy Farm
6.4.2. Beef Farm
6.4.3. Sheep Farm
6.4.4. Deer Farm
6.4.5. Goat and Pig Farm
Chapter 7. Global Livestock Monitoring & Identification Market, Regional Analysis
7.1. Top Leading Countries
7.2. Top Emerging Countries
7.3. Livestock Monitoring & Identification Market, Regional Market Snapshot
7.4. North America Livestock Monitoring & Identification Market
7.4.1. U.S. Livestock Monitoring & Identification Market Component breakdown estimates & forecasts, 2020-2030 End Use breakdown estimates & forecasts, 2020-2030
7.4.2. Canada Livestock Monitoring & Identification Market
7.5. Europe Livestock Monitoring & Identification Market Snapshot
7.5.1. U.K. Livestock Monitoring & Identification Market
7.5.2. Germany Livestock Monitoring & Identification Market
7.5.3. France Livestock Monitoring & Identification Market
7.5.4. Spain Livestock Monitoring & Identification Market
7.5.5. Italy Livestock Monitoring & Identification Market
7.5.6. Rest of Europe Livestock Monitoring & Identification Market
7.6. Asia-Pacific Livestock Monitoring & Identification Market Snapshot
7.6.1. China Livestock Monitoring & Identification Market
7.6.2. India Livestock Monitoring & Identification Market
7.6.3. Japan Livestock Monitoring & Identification Market
7.6.4. Australia Livestock Monitoring & Identification Market
7.6.5. South Korea Livestock Monitoring & Identification Market
7.6.6. Rest of Asia Pacific Livestock Monitoring & Identification Market
7.7. Latin America Livestock Monitoring & Identification Market Snapshot
7.7.1. Brazil Livestock Monitoring & Identification Market
7.7.2. Mexico Livestock Monitoring & Identification Market
7.8. Middle East & Africa Livestock Monitoring & Identification Market
7.8.1. Saudi Arabia Livestock Monitoring & Identification Market
7.8.2. South Africa Livestock Monitoring & Identification Market
7.8.3. Rest of Middle East & Africa Livestock Monitoring & Identification Market

Chapter 8. Competitive Intelligence
8.1. Key Company SWOT Analysis
8.1.1. Company 1
8.1.2. Company 2
8.1.3. Company 3
8.2. Top Market Strategies
8.3. Company Profiles
8.3.1. HerdX, Inc Key Information Overview Financial (Subject to Data Availability) Product Summary Recent Developments
8.3.2. Afimilk Agricultural Cooperative Ltd.
8.3.3. infsoft GmbH
8.3.4. Zee Tags Ltd.
8.3.5. Quantified AG
8.3.6. Allflex (SCR Engineers Ltd.)
8.3.7. Connecterra B.V.
8.3.8. ID Tech Solutions Private Limited
8.3.9. Shearwell Australia
8.3.10. Y-Tex Corporation
Chapter 9. Research Process
9.1. Research Process
9.1.1. Data Mining
9.1.2. Analysis
9.1.3. Market Estimation
9.1.4. Validation
9.1.5. Publishing
9.2. Research Attributes
9.3. Research Assumption

At Bizwit Research and Consultancy, we employ a thorough and iterative research methodology with the goal of minimizing discrepancies, ensuring the provision of highly accurate estimates and predictions over the forecast period. Our approach involves a combination of bottom-up and top-down strategies to effectively segment and estimate quantitative aspects of the market, utilizing our proprietary data & AI tools. Our Proprietary Tools allow us for the creation of customized models specific to the research objectives. This enables us to develop tailored statistical models and forecasting algorithms to estimate market trends, future growth, or consumer behavior. The customization enhances the accuracy and relevance of the research findings.
We are dedicated to clearly communicating the purpose and objectives of each research project in the final deliverables. Our process begins by identifying the specific problem or challenge our client wishes to address, and from there, we establish precise research questions that need to be answered. To gain a comprehensive understanding of the subject matter and identify the most relevant trends and best practices, we conduct an extensive review of existing literature, industry reports, case studies, and pertinent academic research.
Critical elements of methodology employed for all our studies include:
Data Collection:
To determine the appropriate methods of data collection based on the research objectives, we consider both primary and secondary sources. Primary data collection involves gathering information directly from various industry experts in core and related fields, original equipment manufacturers (OEMs), vendors, suppliers, technology developers, alliances, and organizations. These sources encompass all segments of the value chain within the specific industry. Through in-depth interviews, we engage with key industry participants, subject-matter experts, C-level executives of major market players, industry consultants, and other relevant experts. This allows us to obtain and validate critical qualitative and quantitative information while evaluating market prospects. AI and Big Data are instrumental in our primary research, providing us with powerful tools to collect, analyze, and derive insights from data efficiently. These technologies contribute to the advancement of research methodologies, enabling us to make data-driven decisions and uncover valuable findings.
In addition to primary sources, we extensively utilize secondary sources to enhance our research. These include directories, databases, journals focusing on related industries, company newsletters, and information portals such as Bloomberg, D&B Hoovers, and Factiva. These secondary sources enable us to identify and gather valuable information for our comprehensive, technical, market-oriented, and commercial study of the market. Additionally, we utilize AI algorithms to automate the collection of vast amounts of data from various sources such as surveys, social media platforms, online transactions, and web scraping. And employ Big Data technologies for storage and processing of large datasets, ensuring that no valuable information is missed during the data collection process.
Data Analysis:
Our team of experts carefully examine the gathered data using suitable statistical techniques and qualitative analysis methods. For quantitative analysis, we employ descriptive statistics, regression analysis, and other advanced statistical methods, depending on the characteristics of the data. This analysis may also incorporate the utilization of AI tools and big data analysis techniques to extract meaningful insights.
To ensure the accuracy and reliability of our findings, we extensively leverage data science techniques, which help us minimize discrepancies and uncertainties in our analysis. We employ Data Science to clean and preprocess the data, ensuring its quality and reliability. This involves handling missing data, removing outliers, standardizing variables, and transforming data into suitable formats for analysis. The application of data science techniques enhances our accuracy, efficiency, and depth of analysis, enabling us to stay competitive in dynamic market environments.
Market Size Estimation:
Our proprietary data tools play a crucial role in deriving our market estimates and forecasts. Each study involves the creation of a unique and customized model. The model incorporates the gathered information on market dynamics, technology landscape, application development, and pricing trends. AI techniques, such as machine learning and deep learning, aid us to analyze patterns within the data to identify correlations, trends, and relationships. By recognizing patterns in consumer behavior, purchasing habits, or market dynamics, our AI algorithms aid us in more precise estimations of market size. These factors are simultaneously analyzed within the model, allowing for a comprehensive assessment. To quantify their impact over the forecast period, correlation, regression, and time series analysis are employed.
To estimate and validate the market size, we employ both top-down and bottom-up approaches. The preference is given to a bottom-up approach, where key regional markets are analyzed as separate entities. This data is then integrated to obtain global estimates. This approach is crucial as it provides a deep understanding of the industry and helps minimize errors.
In our forecasting process, we consider various parameters such as economic tools, technological analysis, industry experience, and domain expertise. By taking all these factors into account, we strive to produce accurate and reliable market forecasts. When forecasting, we take into consideration several parameters, which include:
Market driving trends and favorable economic conditions
Restraints and challenges that are expected to be encountered during the forecast period.
Anticipated opportunities for growth and development
Technological advancements and projected developments in the market
Consumer spending trends and dynamics
Shifts in consumer preferences and behaviors.
The current state of raw materials and trends in supply versus pricing
Regulatory landscape and expected changes or developments.
The existing capacity in the market and any expected additions or expansions up to the end of the forecast period.
To assess the market impact of these parameters, we assign weights to each one and utilize weighted average analysis. This process allows us to quantify their influence on the market and derive an expected growth rate for the forecasted period. By considering these various factors and applying a weighted analysis approach, we strive to provide accurate and reliable market forecasts.
Insight Generation & Report Presentation:
After conducting the research, our experts analyze the findings in relation to the research objectives and the specific needs of the client. They generate valuable insights and recommendations that directly address the client’s business challenges. These insights are carefully connected to the research findings to provide a comprehensive understanding.
Next, we create a well-structured research report that effectively communicates the research findings, insights, and recommendations to the client. To enhance clarity and comprehension, we utilize visual aids such as charts, graphs, and tables. These visual elements are employed to present the data in an engaging and easily understandable format, ensuring that the information is accessible and visually appealing to the client. Our aim is to deliver a clear and concise report that conveys the research findings effectively and provides actionable recommendations to meet the client’s specific needs.

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