Livestock Identification Market by Livestock Type (Cattle (Dairy, Beef), Poultry, Swine, Equine), Electronic Identification Tags, Visual Identification Tags (GPS Tags, RFID Tags), Boluses, Data Analytics - Global Forecast to 2031
The livestock identification market was valued at USD 1.74 billion in 2025 and is projected to reach USD 2.78 billion by 2031; it is expected to register a CAGR of 8.1% during the forecast period. The market is growing due to the rising scope of minimizing economic losses and livestock mortality rates and enhancing the traceability of animal diseases. At the same time, through government development initiatives and development involving blockchain-related innovations, significant improvement is more than likely at their end across most developing world geographies.
Scope of the Report
Years Considered for the Study
2021-2031
Base Year
2024
Forecast Period
2025-2031
Units Considered
Value (USD Billion)
Segments
By Offering, Device Lifecycle, Livestock Type, Farm Size, Application and Region
Regions covered
North America, Europe, APAC, RoW
"The poultry segment is expected to grow at the second highest CAGR during the forecast period."
The poultry segment is anticipated to have the second-highest CAGR during the forecast period. This will primarily be on account of an upsurge in the consumption of poultry products on a global basis, based on drivers like increasing population, growth in incomes, and changes in dietary patterns. Adding to this impact is the growth in poultry productivity through the contribution of improvements made in techniques pertaining to poultry farming, such as improved breeding, nutrition, and health care practices.
The small farms segment is likely to grow at the second highest CAGR during the forecast period
The small farms segment is expected to experience the second-highest CAGR during the forecast period. Small-scale farms are turning towards advanced technology to optimize, cut costs, and increase the efficiency of production. The addition of smart farm solutions designed to accommodate smaller production volumes enables them to utilize newer innovations like precision agriculture, Internet of Things (IoT) equipment, and machinery with automation technologies. This has made small farms more competitive and sustainable, hence becoming a key growth driver in the livestock management sector.
"North America to hold the second-largest market share during the forecast period."
North America is expected to capture the second-largest share of the livestock identification market during the forecast period. Growth in the region is driven by its already developed agricultural sector, increased adoption of advanced livestock tracking technologies, and the need for improved disease control and traceability. Concerns for proper management of animals, enhanced safety in food produced, and conformance to government regulations are gradually arising in the US, Canada, and Mexico. Further factors pushing the demand for RFID technology and GPS-enabled animal tracking within the region are improved technologies along with governmental initiatives.
Breakdown of primaries
The study contains insights from various industry experts, ranging from component suppliers to Tier 1 companies and OEMs. The break-up of the primaries is as follows:
By Company Type - Tier 1 - 50%, Tier 2 - 30%, Tier 3 - 20%
By Region- North America - 20%, Europe - 40%, Asia Pacific - 30%, RoW - 10%
The livestock identification market is dominated by a few globally established players such as Merck & Co., Inc. (US), Datamars (Switzerland), Nedap N.V. (Netherlands), MS Schippers (Netherlands), and Shearwell Data Ltd. (UK). The study includes an in-depth competitive analysis of these key players in the livestock identification market, with their company profiles, recent developments, and key market strategies.
Research Coverage:
The report segments the livestock identification market and forecasts its size by offering, device lifecycle, livestock type, farm size, application, and region. The report also discusses the drivers, restraints, opportunities, and challenges pertaining to the market. It gives a detailed view of the market across four main regions-North America, Asia Pacific, Europe, RoW. Supply chain analysis has been included in the report, along with the key players and their competitive analysis in the livestock identification ecosystem.
Key Benefits to Buy the Report:
Analysis of key Drivers (Large potential to reduce economic losses and livestock mortality rates due to accurate and efficient animal disease traceability, Rapid adoption of automation technology and loT-enabled devices for efficient management of livestock farms, Increased focus of livestock farmers on real-time identification and tracking of animals, Data-Driven Decision Making), Restraints (High cost of electronic identification devices), Opportunities (Rising number of government initiatives encouraging livestock identification technology use, Growing adoption of livestock identification solutions in developing countries, Integration with Blockchain Technology), Challenges (Significant contribution of livestock in production of greenhouse gases)
Product Development/Innovation: Detailed insights on upcoming technologies, research and development activities, and new product launches in the livestock identification market.
Market Development: Comprehensive information about lucrative markets - the report analyses the livestock identification market across varied countries.
Market Diversification: Exhaustive information about new products and services, untapped geographies, recent developments, and investments in the livestock identification market.
Competitive Assessment: In-depth assessment of market shares, growth strategies, and system types of leading players like Merck & Co., Inc. (US), Datamars (Switzerland), Nedap N.V. (Netherlands), MS Schippers (Netherlands), Shearwell Data Ltd. (UK), Leader Products (Australia), CAISLEY International GmbH (Germany), Kupsan Tag Company (Turkey), Luoyang Laipson Information Technology Co., Ltd. (China), and Omnia Technologies Pvt. Ltd. (India), among others in the livestock identification market.
TABLE OF CONTENTS
1 INTRODUCTION
1.1 STUDY OBJECTIVES
1.2 MARKET DEFINITION
1.3 STUDY SCOPE
1.3.1 MARKETS COVERED AND REGIONAL SCOPE
1.3.2 YEARS CONSIDERED
1.3.3 INCLUSIONS AND EXCLUSIONS
1.4 CURRENCY CONSIDERED
1.5 UNIT CONSIDERED
1.6 LIMITATIONS
1.7 STAKEHOLDERS
1.8 SUMMARY OF CHANGES
2 RESEARCH METHODOLOGY
2.1 RESEARCH DATA
2.1.1 SECONDARY AND PRIMARY RESEARCH
2.1.2 SECONDARY DATA
2.1.2.1 List of key secondary sources
2.1.2.2 Key data from secondary sources
2.1.3 PRIMARY DATA
2.1.3.1 Breakdown of primaries
2.1.3.2 List of primary interview participants
2.1.3.3 Key data from primary sources
2.1.3.4 Key industry insights
2.2 FACTOR ANALYSIS
2.2.1 SUPPLY-SIDE ANALYSIS
2.2.2 DEMAND-SIDE ANALYSIS
2.2.3 GROWTH FORECAST ASSUMPTIONS
2.3 MARKET SIZE ESTIMATION METHODOLOGY
2.3.1 BOTTOM-UP APPROACH
2.3.1.1 Approach to arrive at market size using bottom-up analysis (demand side)
2.3.2 TOP-DOWN APPROACH
2.3.2.1 Approach to arrive at market size using top-down analysis (supply side)
2.4 MARKET BREAKDOWN AND DATA TRIANGULATION
2.5 RESEARCH ASSUMPTIONS
2.6 RESEARCH LIMITATIONS
2.7 RISK ANALYSIS
3 EXECUTIVE SUMMARY
4 PREMIUM INSIGHTS
4.1 ATTRACTIVE GROWTH OPPORTUNITIES FOR PLAYERS IN LIVESTOCK IDENTIFICATION MARKET
4.2 LIVESTOCK IDENTIFICATION MARKET IN EUROPE, BY COUNTRY
4.3 LIVESTOCK IDENTIFICATION MARKET, BY LIVESTOCK CATTLE TYPE
4.4 LIVESTOCK IDENTIFICATION MARKET, BY RFID TAG TYPE
4.5 LIVESTOCK IDENTIFICATION MARKET, BY FARM SIZE
4.6 LIVESTOCK IDENTIFICATION MARKET, BY REGION
4.7 LIVESTOCK IDENTIFICATION MARKET, BY COUNTRY
5 MARKET OVERVIEW
5.1 INTRODUCTION
5.2 MARKET DYNAMICS
5.2.1 DRIVERS
5.2.1.1 Increasing focus of farmers on reducing mortality and optimizing herd health and productivity
5.2.1.2 Rising inclination of livestock industry players toward data-driven decision-making
5.2.1.3 Surging deployment of automated and IoT-enabled livestock identification devices
5.2.1.4 Growing emphasis of livestock farmers on real-time tracking and identification of animals
5.2.2 RESTRAINTS
5.2.2.1 Limited adoption among small farmers due to budget constraints
5.2.2.2 Rise of vegan dining trend in Europe
5.2.3 OPPORTUNITIES
5.2.3.1 Integration of blockchain technology into livestock identification tools
5.2.3.2 Government initiatives encouraging use of livestock identification technology
5.2.3.3 Growing use of livestock identification solutions in developing countries
5.2.4 CHALLENGES
5.2.4.1 Minimizing greenhouse gas emissions from livestock
5.3 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
5.4 PRICING ANALYSIS
5.4.1 AVERAGE SELLING PRICE TREND OF LIVESTOCK IDENTIFICATION HARDWARE PRODUCTS, BY KEY PLAYER, 2024
5.4.2 AVERAGE SELLING PRICE TREND OF VISUAL IDENTIFICATION TAGS, BY KEY PLAYER, 2021-2024
5.4.3 AVERAGE SELLING PRICE TREND OF APPLICATORS, BY KEY PLAYER, 2021-2024
5.4.4 AVERAGE SELLING PRICE TREND OF VISUAL IDENTIFICATION TAGS, BY REGION, 2020-2024
5.4.5 AVERAGE SELLING PRICE TREND OF APPLICATORS, BY REGION, 2020-2024
5.5 VALUE CHAIN ANALYSIS
5.6 ECOSYSTEM ANALYSIS
5.7 INVESTMENT AND FUNDING SCENARIO
5.8 TECHNOLOGY ANALYSIS
5.8.1 KEY TECHNOLOGIES
5.8.1.1 Radio frequency identification (RFID)
5.8.2 COMPLEMENTARY TECHNOLOGIES
5.8.2.1 AI and blockchain
5.8.2.2 BLE
5.8.2.3 GPS
5.8.2.4 Big data
5.8.3 ADJACENT TECHNOLOGIES
5.8.3.1 Tissue sampling
5.9 PATENT ANALYSIS
5.10 TRADE ANALYSIS
5.10.1 IMPORT DATA (HS CODE 847190)
5.10.2 EXPORT DATA (HS CODE 847190)
5.11 KEY CONFERENCES AND EVENTS, 2025
5.12 CASE STUDY ANALYSIS
5.12.1 GALLAGHER'S ELECTRONIC IDENTIFICATION TECHNOLOGY HELPS STREAMLINE PROCESS OF RECORDING HEIFER DATA
5.12.2 TECHVANTAGE SYSTEMS' MOO ID PRODUCT ASSISTS IN TRACKING BEHAVIOR, EATING PATTERNS, AND HEALTH OF COWS
5.12.3 GALLAGHER'S HR5 HANDHELD EID TAG READER AND DATA COLLECTOR IMPROVES DAIRY FARM MANAGEMENT
5.13 REGULATORY LANDSCAPE
5.13.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
5.13.2 STANDARDS
5.14 PORTER'S FIVE FORCES ANALYSIS
5.14.1 INTENSITY OF COMPETITIVE RIVALRY
5.14.2 BARGAINING POWER OF SUPPLIERS
5.14.3 BARGAINING POWER OF BUYERS
5.14.4 THREAT OF SUBSTITUTES
5.14.5 THREAT OF NEW ENTRANTS
5.15 KEY STAKEHOLDERS AND BUYING CRITERIA
5.15.1 KEY STAKEHOLDERS IN BUYING PROCESS
5.15.2 BUYING CRITERIA
5.16 IMPACT OF AI/GENERATIVE AI ON LIVESTOCK IDENTIFICATION MARKET
6 TECHNOLOGIES USED IN LIVESTOCK IDENTIFICATION SOLUTIONS
6.1 INTRODUCTION
6.2 LOW-FREQUENCY RFID
6.3 HIGH-FREQUENCY RFID
6.4 ULTRA-HIGH-FREQUENCY (UHF) RFID
6.5 ZIGBEE
6.6 4G/5G
6.7 LORA
6.8 OTHER TECHNOLOGIES
7 LIVESTOCK IDENTIFICATION MARKET, BY APPLICATION
7.1 INTRODUCTION
7.2 BREEDING RECORD
7.2.1 GROWING NEED TO ENSURE COMPLIANCE WITH GOVERNMENT REGULATIONS AND CERTIFICATION STANDARDS TO DRIVE MARKET
7.3 ANIMAL OWNERSHIP IDENTIFICATION
7.3.1 INCORPORATION OF RFID TECHNOLOGY TO OFFER LUCRATIVE GROWTH OPPORTUNITIES
7.4 DISEASE MANAGEMENT & CONTROL
7.4.1 RISING NEED TO IMPROVE FOOD SAFETY TO BOOST DEMAND
7.5 MILK TRACEABILITY
7.5.1 GROWING CONCERNS ABOUT ANIMAL WELFARE TO FOSTER MARKET GROWTH
8 LIVESTOCK IDENTIFICATION MARKET, BY DEVICE LIFECYCLE
8.1 INTRODUCTION
8.2 SHORT
8.2.1 RISING USE OF ID TAGS IN POULTRY, SWINE, SHEEP, AND GOAT FARMING TO BOOST SEGMENTAL GROWTH
8.3 LONG
8.3.1 INCREASING ADOPTION OF IDENTIFICATION AND MARKING PRODUCTS IN CATTLE, BOVINES, AND HORSE FARMS TO FUEL MARKET GROWTH
9 LIVESTOCK IDENTIFICATION MARKET, BY FARM SIZE
9.1 INTRODUCTION
9.2 SMALL
9.2.1 GROWING TREND OF DIGITAL REPOSITORY OF ANIMAL HEALTH RECORDS VIA MOBILE APPS TO SUPPORT MARKET GROWTH
9.3 MEDIUM
9.3.1 INCREASING ADOPTION OF DIGITAL PLATFORMS AND AUTOMATED TOOLS FOR LIVESTOCK MANAGEMENT TO FOSTER MARKET GROWTH
9.4 LARGE
9.4.1 RISING NEED TO TRACK REAL-TIME LOCATION OF ANIMALS TO FUEL MARKET GROWTH
10 LIVESTOCK IDENTIFICATION MARKET, BY LIVESTOCK TYPE
10.1 INTRODUCTION
10.2 CATTLE
10.2.1 DAIRY
10.2.1.1 Increasing need to manage dairy cattle efficiently to accelerate demand
10.2.2 BEEF
10.2.2.1 Growing emphasis on health management and consumer safety to boost demand
10.3 POULTRY
10.3.1 RISING POULTRY MEAT PRODUCTION TO SUPPORT MARKET GROWTH
10.4 SWINE
10.4.1 SURGING CONSUMPTION OF PORK TO STIMULATE MARKET GROWTH
10.5 OTHER LIVESTOCK TYPES
11 LIVESTOCK IDENTIFICATION MARKET, BY OFFERING
11.1 INTRODUCTION
11.2 HARDWARE
11.2.1 ELECTRONIC IDENTIFICATION TAGS
11.2.1.1 GPS tags
11.2.1.1.1 Growing application in large farms to support market growth
11.2.1.2 RFID tags
11.2.1.2.1 Ear tags
11.2.1.2.1.1 Convenience, reliability, and cost-effectiveness features to boost demand
11.2.1.2.2 Leg tags
11.2.1.2.2.1 Rising use in poultry farms to foster market growth
11.2.1.2.3 Back tags
11.2.1.2.3.1 Quick and visible means of identifying animals during transport, sale, or slaughter to drive demand
11.2.2 VISUAL IDENTIFICATION TAGS
11.2.2.1 One-piece tags
11.2.2.1.1 Ability to withstand harsh environmental conditions to drive demand
11.2.2.2 Two-piece tags
11.2.2.2.1 Durability and long-term tracking capabilities to foster market growth
11.2.2.3 Brisket tags
11.2.2.3.1 Increasing focus on adopting durable and low-discomfort alternatives for livestock identification to boost demand
11.2.3 READERS & APPLICATORS
11.2.3.1 Increasing need to understand cattle mating cycle to drive market
11.2.4 OTHER HARDWARE OFFERINGS
11.2.4.1 Sensors
11.2.4.1.1 Need to track activity levels and health to foster market growth
11.2.4.2 Boluses
11.2.4.2.1 Increasing demand for permanent and tamper-proof identification tools in cattle farms to fuel market growth