Livestock Identification Market Size-By Component (Hardware Software), By Technology (Ear Tags, Leg Tags, Collars Tags & GPS, Tattoos, Visual Markings, Others), By End-use (Dairy Farm, Goat and Pig Farm, Sheep Farm, Deer Farm), Forecast, 2024-2032

PUBLISHED: January 25, 2024

PAGES: 200 Pages

DELIVERY TIME: 2-3 business days

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Description

Livestock identification industry is likely to register at a CAGR of over 9.5% between 2024 to 2032, driven by increasing concerns regarding food safety and traceability. With consumers demanding transparency in the food supply chain, governments and regulatory bodies are implementing stringent regulations mandating the tracking and identification of livestock from farm to fork.

Innovations such as RFID (Radio Frequency Identification) tags, electronic ear tags, and biometric identification systems have revolutionized livestock management practices. In May 2022, Kerala, an Indian state, launched a program aimed to create a vast database of its livestock and improve animal traceability by equipping its cattle with a radio-frequency identification (RFID) microchip. These technologies offer real-time monitoring and data collection capabilities, enabling farmers to efficiently track individual animals, manage herd health, and optimize breeding programs.

Livestock identification industry is segmented based on component, technology, end-use, and region.

Leg tags segment is anticipated to witness substantial growth through 2032, as they offer a cost-effective and practical solution for individual animal identification, particularly in large-scale livestock operations. Compared to other identification methods, such as electronic ear tags or RFID implants, leg tags are relatively inexpensive and easy to apply, making them accessible to a wide range of farmers. Additionally, leg tags provide visible identification markers that are easily recognizable, facilitating quick and efficient animal management tasks such as sorting, grouping, and health monitoring.

Dairy farm segment is estimated to generate high revenues for the market by 2032, as they rely heavily on efficient herd management practices to optimize milk production and ensure animal welfare. Livestock identification systems help in enabling dairy farmers to accurately track individual animals, monitor health & reproductive records, and implement targeted management interventions. Moreover, the rising global demand for dairy products and the need to meet stringent food safety and traceability standards, will favor the segment growth.

Asia Pacific livestock identification industry size will witness rapid expansion between 2024-2032, attributed to rapid urbanization and population growth. The region's diverse agricultural landscape and varying climatic conditions create challenges for farmers, spurring the adoption of advanced livestock identification technologies to enhance productivity and profitability. Moreover, government initiatives aimed at promoting food safety, traceability, and disease control further propel the product adoption, stimulating the regional industry expansion.

Product Code: 7973

Chapter 1 Methodology & Scope

1.1 Market scope & definitions
1.2 Base estimates & calculations
1.3 Forecast calculations
1.4 Data sources
- 1.4.1 Primary
- 1.4.2 Secondary
  - 1.4.2.1 Paid sources
  - 1.4.2.2 Public sources

Chapter 2 Executive Summary

2.1 Industry 360 degree synopsis, 2018-2032

Chapter 3 Industry Insights

3.1 Industry ecosystem analysis
3.2 Supplier landscape
3.3 Profit margin analysis
3.4 Technology & innovation landscape
3.5 Patent analysis
3.6 Key news & initiatives
3.7 Regulatory landscape
3.8 Impact forces
- 3.8.1 Growth drivers
  - 3.8.1.1 Rising regulatory compliance requirements
  - 3.8.1.2 Growing emphasis on disease control and management
  - 3.8.1.3 Escalating technological advancements
  - 3.8.1.4 Expanding market access and export opportunities
- 3.8.2 Industry pitfalls & challenges
  - 3.8.2.1 Increasing costs of implementation
  - 3.8.2.2 Challenges in standardization and interoperability
3.9 Growth potential analysis
3.10 Porter's analysis
- 3.10.1 Supplier power
- 3.10.2 Buyer power
- 3.10.3 Threat of new entrants
- 3.10.4 Threat of substitutes
- 3.10.5 Industry rivalry
3.11 PESTEL analysis

Chapter 4 Competitive Landscape, 2023

4.1 Introduction
4.2 Company market share analysis
4.3 Competitive positioning matrix
4.4 Strategic outlook matrix

Chapter 5 Market Estimates & Forecast, By Component, 2018-2032 (USD Million)

5.1 Key trends
5.2 Hardware
- 5.2.1 Electronic identification tags
  - 5.2.1.1 GPS tags
  - 5.2.1.2 RFID tags
- 5.2.2 Visual identification tags
  - 5.2.2.1 One-piece tags
  - 5.2.2.2 Two-piece tags
  - 5.2.2.3 Brisket tags
- 5.2.3 Readers & applicators
- 5.2.4 Others
5.3 Software
- 5.3.1 Cloud-based
- 5.3.2 On-premises
5.4 Services
- 5.4.1 Data analytics
- 5.4.2 Maintenance and support

Chapter 6 Market Estimates & Forecast, By Technology, 2018-2032 (USD Million)

6.1 Key trends
6.2 Ear tags
6.3 Leg tags
6.4 Collars tags & GPS
6.5 Tattoos
6.6 Visual markings
6.7 Others

Chapter 7 Market Estimates & Forecast, By End-Use, 2018-2032 (USD Million)

7.1 Key trends
7.2 Dairy farm
7.3 Goat and pig farm
7.4 Sheep farm
7.5 Deer farm

Chapter 8 Market Estimates & Forecast, By Region, 2018-2032 (USD Million)

8.1 Key trends
8.2 North America
- 8.2.1 U.S.
- 8.2.2 Canada
8.3 Europe
- 8.3.1 UK
- 8.3.2 Germany
- 8.3.3 France
- 8.3.4 Italy
- 8.3.5 Spain
- 8.3.6 Russia
- 8.3.7 Rest of Europe
8.4 Asia Pacific
- 8.4.1 China
- 8.4.2 India
- 8.4.3 Japan
- 8.4.4 South Korea
- 8.4.5 ANZ
- 8.4.6 Rest of Asia Pacific
8.5 Latin America
- 8.5.1 Brazil
- 8.5.2 Mexico
- 8.5.3 Rest of Latin America
8.6 MEA
- 8.6.1 South Africa
- 8.6.2 Saudi Arabia
- 8.6.3 UAE
- 8.6.4 Rest of MEA