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The Livestock Identification Market Size was valued at USD 1.79 Billion in 2023 and is expected to reach USD 3.99 Billion by 2032 and grow at a CAGR of 9.77% over the forecast period 2024-2032.
An important part of livestock production is livestock identification. Cattle were once identified manually and managed, and kept on farms by installing visible fences. On the other hand, advanced technologies have made it possible to track, identify, and monitor agricultural animals in real-time. Biometric sensors, for instance, are advanced real-time technologies that identify and track each animal's life and activity in real time, allowing farmers to integrate this data into human-related analyzes. Large data calculation solutions rely on mathematical algorithms to navigate complex data sets and provide farmers with appropriate trend patterns and decision-making tools to collect and integrate real-time data from biometric sensors.
KEY DRIVERS:
Accurate and efficient animal disease traceability provides significant potential to reduce economic losses and cattle death rates.
Livestock farmers are putting a greater emphasis on real-time animal identification and tracking.
For efficient operation of cattle farms, automation technology, and IoT-enabled equipment are being rapidly used.
RESTRAINTS:
Expensive electronic identification gadgets.
The gradual transition to a vegan diet has an impact on market growth in European countries.
OPPORTUNITIES:
In developing countries, livestock identification solutions are becoming more popular.
A growing number of government initiatives are encouraging the use of livestock identification technology.
CHALLENGES:
Livestock plays a significant role in the production of greenhouse gases.
Ranchers and farm owners have a low level of awareness about the benefits of livestock identification solutions.
During the epidemic, end users of various livestock identification solutions around the world were severely affected. The epidemic led to the closure of the factory. On the other hand, various industries have been operating at lower levels than usual and continue to face new limitations due to concerns about the continuing increase in cases and the arrival of the third and fourth waves of the epidemic in some countries around the world. As productive crops remained closed and buyers stayed at home due to land closures, the impact of the epidemic profoundly affected the labor force, leading to the low availability of farm workers. The supply chains of major livestock identification manufacturers, especially those based in the US, UK, China, Brazil, India, and France, have been hit hard by the epidemic. Prior to the outbreak of the COVID-19 epidemic, manufacturers of livestock identification solutions were hopeful that by 2020 it would see a normal state of development, which is fueled by increased public awareness of the benefits of livestock identification solutions and the number of livestock worldwide. However, the need for livestock identification solutions has decreased significantly after the outbreak. However, the global demand for livestock identification solutions increased after Q1 2021.
By Offering, the livestock identification market is subdivided into hardware, software, and service. Hardware is accounted for the largest share 75% of the livestock identification market, The large market size of this category is due to the increase in the use of electronic and visual identification tags, students, and applications from all small, medium, and large farms around the world to show ownership of a particular animal. These machines play an important role in livestock management through animal identification; keeping records related to production, age, health, and reproductive status, which helps farmers to make informed decisions about livestock management. These machines also send warning signs of animal attacks to farmers.
By Species, the livestock identification market is segmented into Poultry, Swine, Cattle, and Others. Proper identification of cattle is essential for good production and profitability in the cattle business. Manual identification and management of medium-sized livestock farms are expensive and time-consuming. Therefore, automated livestock identification solutions are preferred over manual diagnostics and management procedures. Livestock identification is important in owning and selling cattle. It enables farmers to make management decisions to improve cattle production. In addition, the increase in the number of cattle in the world increases the need for cattle identification solutions.
Europe hosted the largest market share of the world's livestock identification market. Growth could be due to an increase in demand for pork in the European Union. The European Union's animal identification regulations also help to grow the region's livestock identification market.
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The key players in the Livestock Identification market are Allflex Livestock Intelligence, Nedap, Livestock Improvement Corporation, Leader Products, Kupsan Tag Company, Datamars, MS Schippers, Shearwell Data, CAISLEY International, Luoyang Laipson Information Technology & Other Players.
| Report Attributes | |
|---|---|
| Market Size in 2023 | US$ 1.79 Billion |
| Market Size by 2032 | US$ 3.99 Billion |
| CAGR | CAGR of 9.77 % from 2024 to 2032 |
| Base Year | 2023 |
| Forecast Period | 2024-2032 |
| Historical Data | 2020-2021 |
| Report Scope & Coverage | Market Size, Segments Analysis, Competitive Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook |
| Key Segments | • By Offering (Hardware, Software, Service) • By Device Lifecycle (Short Term, Long Term) • By Species (Poultry, Swine, Cattle, Others) |
| Regional Analysis/Coverage | North America (US, Canada, Mexico), Europe (Eastern Europe [Poland, Romania, Hungary, Turkey, Rest of Eastern Europe] Western Europe] Germany, France, UK, Italy, Spain, Netherlands, Switzerland, Austria, Rest of Western Europe]), Asia Pacific (China, India, Japan, South Korea, Vietnam, Singapore, Australia, Rest of Asia Pacific), Middle East & Africa (Middle East [UAE, Egypt, Saudi Arabia, Qatar, Rest of Middle East], Africa [Nigeria, South Africa, Rest of Africa], Latin America (Brazil, Argentina, Colombia, Rest of Latin America) |
| Company Profiles | Allflex Livestock Intelligence, Nedap, Livestock Improvement Corporation, Leader Products, Kupsan Tag Company, Datamars, MS Schippers, Shearwell Data, CAISLEY International, Luoyang Laipson Information Technology and Other. |
| Key Drivers | • Accurate and efficient animal disease traceability provides significant potential to reduce economic losses and cattle death rates. • Livestock farmers are putting a greater emphasis on real-time animal identification and tracking. |
| Restraints | • Expensive electronic identification gadgets. • The gradual transition to a vegan diet has an impact on market growth in European countries. |
The Livestock Identification Market Size was valued at USD 1.79 Billion in 2023 and is expected to reach USD 3.99 Billion by 2032 and grow at a CAGR of 9.77% over the forecast period 2024-2032.
The market has been segmented with respect to offering, device life cycle and species.
The key players in the Livestock Identification market are Allflex Livestock Intelligence, Nedap, Livestock Improvement Corporation, Leader Products, Kupsan Tag Company, Datamars, MS Schippers, Shearwell Data, CAISLEY International, Luoyang Laipson Information Technology and Other.
Top-down research, bottom-up research, qualitative research, quantitative research, and Fundamental research.
Manufacturers, Consultants, Association, Research Institutes, private and university libraries, suppliers, and distributors of the product.
Table of Contents
1. Introduction
1.1 Market Definition
1.2 Scope
1.3 Research Assumptions
2. Research Methodology
3. Market Dynamics
3.1 Drivers
3.2 Restraints
3.3 Opportunities
3.4 Challenges
4. Impact Analysis
4.1 COVID-19 Impact Analysis
4.2 Impact of Ukraine- Russia war
4.3 Impact of ongoing Recession
4.3.1 Introduction
4.3.2 Impact on major economies
4.3.2.1 US
4.3.2.2 Canada
4.3.2.3 Germany
4.3.2.4 France
4.3.2.5 United Kingdom
4.3.2.6 China
4.3.2.7 Japan
4.3.2.8 South Korea
4.3.2.9 Rest of the World
5. Value Chain Analysis
6. Porter’s 5 forces model
7. PEST Analysis
8. Livestock Identification Market Segmentation, by offering
8.1Introduction
8.2 Hardware
8.3 Software
8.4 Service
9. Livestock Identification Market Segmentation, by Device Lifecycle
9.1 Introduction
9.2 Short term
9.3 Long term
10. Livestock Identification Market Segmentation, by species
10.1 Introduction
10.2 Poultry
10.3 Swine
10.4 Cattle
10.5 Others
11. Regional Analysis
11.1 Introduction
11.2 North America
11.2.1 USA
11.2.2 Canada
11.2.3 Mexico
11.3 Europe
11.3.1 Germany
11.3.2 UK
11.3.3 France
11.3.4 Italy
11.3.5 Spain
11.3.6 The Netherlands
11.3.7 Rest of Europe
11.4 Asia-Pacific
11.4.1 Japan
11.4.2 South Korea
11.4.3 China
11.4.4 India
11.4.5 Australia
11.4.6 Rest of Asia-Pacific
11.5 The Middle East & Africa
11.5.1 Israel
11.5.2 UAE
11.5.3 South Africa
11.5.4 Rest
11.6 Latin America
11.6.1 Brazil
11.6.2 Argentina
11.6.3 Rest of Latin America
12 Company Profiles
12.1 Livestock Improvement Corporation.
12.1.1 Financial
12.1.2 Products/ Services Offered
12.1.3 SWOT Analysis
12.1.4 The SNS view
12.2 Allflex Livestock Intelligence
12.3 Nedap
12.4 Leader Products
12.5 Kupsan Tag Company
12.6 Datamars
12.7 MS Schippers
12.8 Shearwell Data
12.9 CAISLEY International
12.10 Luoyang Laipson Information Technology
12.11 Other
13 Competitive Landscape
13.1 Competitive Benchmark
13.2 Market Share analysis
13.3 Recent Developments
14 Conclusion
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BY OFFERING
Hardware
Software
Service
BY DEVICE LIFECYCLE
Short term
Long term
BY SPECIES
Poultry
Swine
Cattle
Others
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REGIONAL COVERAGE:
North America
US
Canada
Mexico
Europe
Eastern Europe
Poland
Romania
Hungary
Turkey
Rest of Eastern Europe
Western Europe
Germany
France
UK
Italy
Spain
Netherlands
Switzerland
Austria
Rest of Western Europe
Asia Pacific
China
India
Japan
South Korea
Vietnam
Singapore
Australia
Rest of Asia Pacific
Middle East & Africa
Middle East
UAE
Egypt
Saudi Arabia
Qatar
Rest of the Middle East
Africa
Nigeria
South Africa
Rest of Africa
Latin America
Brazil
Argentina
Colombia
Rest of Latin America
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