Summary

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.

“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 Designation— C-level Executives - 45%, Directors - 35%, Others - 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.

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Table of Contents

1 INTRODUCTION 25
1.1 STUDY OBJECTIVES 25
1.2 MARKET DEFINITION 25
1.3 STUDY SCOPE 26
1.3.1 MARKETS COVERED AND REGIONAL SCOPE 26
1.3.2 YEARS CONSIDERED 27
1.3.3 INCLUSIONS AND EXCLUSIONS 27
1.4 CURRENCY CONSIDERED 28
1.5 UNIT CONSIDERED 28
1.6 LIMITATIONS 28
1.7 STAKEHOLDERS 28
1.8 SUMMARY OF CHANGES 28
2 RESEARCH METHODOLOGY 30
2.1 RESEARCH DATA 30
2.1.1 SECONDARY AND PRIMARY RESEARCH 32
2.1.2 SECONDARY DATA 32
2.1.2.1 List of key secondary sources 33
2.1.2.2 Key data from secondary sources 33
2.1.3 PRIMARY DATA 34
2.1.3.1 Breakdown of primaries 34
2.1.3.2 List of primary interview participants 34
2.1.3.3 Key data from primary sources 35
2.1.3.4 Key industry insights 35
2.2 FACTOR ANALYSIS 36
2.2.1 SUPPLY-SIDE ANALYSIS 36
2.2.2 DEMAND-SIDE ANALYSIS 37
2.2.3 GROWTH FORECAST ASSUMPTIONS 37
2.3 MARKET SIZE ESTIMATION METHODOLOGY 38
2.3.1 BOTTOM-UP APPROACH 38
2.3.1.1 Approach to arrive at market size using bottom-up analysis (demand side) 38
2.3.2 TOP-DOWN APPROACH 39
2.3.2.1 Approach to arrive at market size using top-down analysis (supply side) 40
2.4 MARKET BREAKDOWN AND DATA TRIANGULATION 41
2.5 RESEARCH ASSUMPTIONS 42
2.6 RESEARCH LIMITATIONS 42
2.7 RISK ANALYSIS 42
3 EXECUTIVE SUMMARY 43
4 PREMIUM INSIGHTS 46
4.1 ATTRACTIVE GROWTH OPPORTUNITIES FOR PLAYERS IN LIVESTOCK IDENTIFICATION MARKET 46
4.2 LIVESTOCK IDENTIFICATION MARKET IN EUROPE, BY COUNTRY 47
4.3 LIVESTOCK IDENTIFICATION MARKET, BY LIVESTOCK CATTLE TYPE 47
4.4 LIVESTOCK IDENTIFICATION MARKET, BY RFID TAG TYPE 48
4.5 LIVESTOCK IDENTIFICATION MARKET, BY FARM SIZE 48
4.6 LIVESTOCK IDENTIFICATION MARKET, BY REGION 49
4.7 LIVESTOCK IDENTIFICATION MARKET, BY COUNTRY 49
5 MARKET OVERVIEW 50
5.1 INTRODUCTION 50
5.2 MARKET DYNAMICS 50
5.2.1 DRIVERS 51
5.2.1.1 Increasing focus of farmers on reducing mortality and optimizing herd health and productivity 51
5.2.1.2 Rising inclination of livestock industry players toward data-driven decision-making 52
5.2.1.3 Surging deployment of automated and IoT-enabled livestock identification devices 52
5.2.1.4 Growing emphasis of livestock farmers on real-time tracking and identification of animals 53
5.2.2 RESTRAINTS 53
5.2.2.1 Limited adoption among small farmers due to budget constraints 54
5.2.2.2 Rise of vegan dining trend in Europe 54
5.2.3 OPPORTUNITIES 56
5.2.3.1 Integration of blockchain technology into livestock
identification tools 56
5.2.3.2 Government initiatives encouraging use of livestock identification technology 57
5.2.3.3 Growing use of livestock identification solutions in developing countries 57
5.2.4 CHALLENGES 58
5.2.4.1 Minimizing greenhouse gas emissions from livestock 58
5.3 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS 59
5.4 PRICING ANALYSIS 60
5.4.1 AVERAGE SELLING PRICE TREND OF LIVESTOCK IDENTIFICATION HARDWARE PRODUCTS, BY KEY PLAYER, 2024 60
5.4.2 AVERAGE SELLING PRICE TREND OF VISUAL IDENTIFICATION TAGS,
BY KEY PLAYER, 2021–2024 61
5.4.3 AVERAGE SELLING PRICE TREND OF APPLICATORS, BY KEY PLAYER,
2021–2024 62
5.4.4 AVERAGE SELLING PRICE TREND OF VISUAL IDENTIFICATION TAGS,
BY REGION, 2020–2024 63
5.4.5 AVERAGE SELLING PRICE TREND OF APPLICATORS, BY REGION, 2020–2024 64
5.5 VALUE CHAIN ANALYSIS 64
5.6 ECOSYSTEM ANALYSIS 66
5.7 INVESTMENT AND FUNDING SCENARIO 68
5.8 TECHNOLOGY ANALYSIS 68
5.8.1 KEY TECHNOLOGIES 68
5.8.1.1 Radio frequency identification (RFID) 68
5.8.2 COMPLEMENTARY TECHNOLOGIES 69
5.8.2.1 AI and blockchain 69
5.8.2.2 BLE 69
5.8.2.3 GPS 70
5.8.2.4 Big data 70
5.8.3 ADJACENT TECHNOLOGIES 70
5.8.3.1 Tissue sampling 70
5.9 PATENT ANALYSIS 71
5.10 TRADE ANALYSIS 73
5.10.1 IMPORT DATA (HS CODE 847190) 74
5.10.2 EXPORT DATA (HS CODE 847190) 75
5.11 KEY CONFERENCES AND EVENTS, 2025 76
5.12 CASE STUDY ANALYSIS 76
5.12.1 GALLAGHER’S ELECTRONIC IDENTIFICATION TECHNOLOGY HELPS STREAMLINE PROCESS OF RECORDING HEIFER DATA 76
5.12.2 TECHVANTAGE SYSTEMS’ MOO ID PRODUCT ASSISTS IN TRACKING BEHAVIOR, EATING PATTERNS, AND HEALTH OF COWS 77
5.12.3 GALLAGHER’S HR5 HANDHELD EID TAG READER AND DATA COLLECTOR IMPROVES DAIRY FARM MANAGEMENT 77
5.13 REGULATORY LANDSCAPE 77
5.13.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 77
5.13.2 STANDARDS 79
5.14 PORTER'S FIVE FORCES ANALYSIS 80
5.14.1 INTENSITY OF COMPETITIVE RIVALRY 81
5.14.2 BARGAINING POWER OF SUPPLIERS 81
5.14.3 BARGAINING POWER OF BUYERS 81
5.14.4 THREAT OF SUBSTITUTES 81
5.14.5 THREAT OF NEW ENTRANTS 81
5.15 KEY STAKEHOLDERS AND BUYING CRITERIA 82
5.15.1 KEY STAKEHOLDERS IN BUYING PROCESS 82
5.15.2 BUYING CRITERIA 83
5.16 IMPACT OF AI/GENERATIVE AI ON LIVESTOCK IDENTIFICATION MARKET 83

6 TECHNOLOGIES USED IN LIVESTOCK IDENTIFICATION SOLUTIONS 85
6.1 INTRODUCTION 85
6.2 LOW-FREQUENCY RFID 85
6.3 HIGH-FREQUENCY RFID 85
6.4 ULTRA-HIGH-FREQUENCY (UHF) RFID 86
6.5 ZIGBEE 86
6.6 4G/5G 87
6.7 LORA 87
6.8 OTHER TECHNOLOGIES 88
7 LIVESTOCK IDENTIFICATION MARKET, BY APPLICATION 89
7.1 INTRODUCTION 90
7.2 BREEDING RECORD 91
7.2.1 GROWING NEED TO ENSURE COMPLIANCE WITH GOVERNMENT REGULATIONS AND CERTIFICATION STANDARDS TO DRIVE MARKET 91
7.3 ANIMAL OWNERSHIP IDENTIFICATION 91
7.3.1 INCORPORATION OF RFID TECHNOLOGY TO OFFER LUCRATIVE GROWTH OPPORTUNITIES 91
7.4 DISEASE MANAGEMENT & CONTROL 92
7.4.1 RISING NEED TO IMPROVE FOOD SAFETY TO BOOST DEMAND 92
7.5 MILK TRACEABILITY 92
7.5.1 GROWING CONCERNS ABOUT ANIMAL WELFARE TO FOSTER MARKET GROWTH 92
8 LIVESTOCK IDENTIFICATION MARKET, BY DEVICE LIFECYCLE 94
8.1 INTRODUCTION 95
8.2 SHORT 96
8.2.1 RISING USE OF ID TAGS IN POULTRY, SWINE, SHEEP, AND GOAT FARMING TO BOOST SEGMENTAL GROWTH 96
8.3 LONG 96
8.3.1 INCREASING ADOPTION OF IDENTIFICATION AND MARKING PRODUCTS IN CATTLE, BOVINES, AND HORSE FARMS TO FUEL MARKET GROWTH 96
9 LIVESTOCK IDENTIFICATION MARKET, BY FARM SIZE 97
9.1 INTRODUCTION 98
9.2 SMALL 99
9.2.1 GROWING TREND OF DIGITAL REPOSITORY OF ANIMAL HEALTH RECORDS VIA MOBILE APPS TO SUPPORT MARKET GROWTH 99
9.3 MEDIUM 99
9.3.1 INCREASING ADOPTION OF DIGITAL PLATFORMS AND AUTOMATED TOOLS FOR LIVESTOCK MANAGEMENT TO FOSTER MARKET GROWTH 99
9.4 LARGE 99
9.4.1 RISING NEED TO TRACK REAL-TIME LOCATION OF ANIMALS TO
FUEL MARKET GROWTH 99
10 LIVESTOCK IDENTIFICATION MARKET, BY LIVESTOCK TYPE 100
10.1 INTRODUCTION 101
10.2 CATTLE 102
10.2.1 DAIRY 104
10.2.1.1 Increasing need to manage dairy cattle efficiently to
accelerate demand 104
10.2.2 BEEF 105
10.2.2.1 Growing emphasis on health management and consumer
safety to boost demand 105
10.3 POULTRY 105
10.3.1 RISING POULTRY MEAT PRODUCTION TO SUPPORT MARKET GROWTH 105
10.4 SWINE 106
10.4.1 SURGING CONSUMPTION OF PORK TO STIMULATE MARKET GROWTH 106
10.5 OTHER LIVESTOCK TYPES 107
11 LIVESTOCK IDENTIFICATION MARKET, BY OFFERING 109
11.1 INTRODUCTION 110
11.2 HARDWARE 111
11.2.1 ELECTRONIC IDENTIFICATION TAGS 118
11.2.1.1 GPS tags 119
11.2.1.1.1 Growing application in large farms to support market growth 119
11.2.1.2 RFID tags 119
11.2.1.2.1 Ear tags 120
11.2.1.2.1.1 Convenience, reliability, and cost-effectiveness features to boost demand 120
11.2.1.2.2 Leg tags 121
11.2.1.2.2.1 Rising use in poultry farms to foster market growth 121
11.2.1.2.3 Back tags 121
11.2.1.2.3.1 Quick and visible means of identifying animals during transport, sale, or slaughter to drive demand 121
11.2.2 VISUAL IDENTIFICATION TAGS 121
11.2.2.1 One-piece tags 122
11.2.2.1.1 Ability to withstand harsh environmental conditions to drive demand 122
11.2.2.2 Two-piece tags 122
11.2.2.2.1 Durability and long-term tracking capabilities to foster market growth 122
11.2.2.3 Brisket tags 122
11.2.2.3.1 Increasing focus on adopting durable and low-discomfort alternatives for livestock identification to boost demand 122
11.2.3 READERS & APPLICATORS 123
11.2.3.1 Increasing need to understand cattle mating cycle to drive market 123

11.2.4 OTHER HARDWARE OFFERINGS 123
11.2.4.1 Sensors 124
11.2.4.1.1 Need to track activity levels and health to foster market growth 124
11.2.4.2 Boluses 125
11.2.4.2.1 Increasing demand for permanent and tamper-proof identification tools in cattle farms to fuel market growth 125
11.3 SOFTWARE 125
11.3.1 ON-CLOUD 131
11.3.1.1 Rising shift toward cloud-based livestock management solutions to fuel market growth 131
11.3.2 LIVESTOCK RECORD-KEEPING SOFTWARE 132
11.3.2.1 Ability to reuse existing servers to drive market 132
11.4 SERVICES 132
11.4.1 DATA ANALYTICS 138
11.4.1.1 Growing need to make informed decisions to ensure improved health and well-being of cattle to drive market 138
11.4.2 MAINTENANCE & SUPPORT 138
11.4.2.1 Increasing need to ensure compliance with industry regulations to support market growth 138
12 LIVESTOCK IDENTIFICATION MARKET, BY REGION 139
12.1 INTRODUCTION 140
12.2 NORTH AMERICA 141
12.2.1 MACROECONOMIC OUTLOOK FOR NORTH AMERICA 141
12.2.2 US 144
12.2.2.1 Rising deployment of IoT- and AI-enabled devices to drive market 144
12.2.3 CANADA 145
12.2.3.1 Growing adoption of livestock automation technology across dairy and beef farms to fuel market growth 145
12.2.4 MEXICO 146
12.2.4.1 Increasing emphasis on improving livestock industry to support market growth 146
12.3 EUROPE 147
12.3.1 MACROECONOMIC OUTLOOK FOR EUROPE 147
12.3.2 GERMANY 151
12.3.2.1 Government-led initiatives to improve livestock farming practices to drive market 151
12.3.3 NETHERLANDS 152
12.3.3.1 Presence of established livestock identification solution manufacturers to boost demand 152
12.3.4 UK 153
12.3.4.1 Increased R&D investments in developing innovative livestock identification solutions to offer lucrative growth opportunities 153

12.3.5 FRANCE 154
12.3.5.1 Increasing adoption of new technologies in agricultural and livestock farming to boost demand 154
12.3.6 DENMARK 154
12.3.6.1 Rising focus on reducing greenhouse gas emissions to drive market 154
12.3.7 SPAIN 155
12.3.7.1 Growing emphasis on developing agriculture and forestry machinery to foster market growth 155
12.3.8 NORWAY 156
12.3.8.1 Thriving meat and dairy industries to fuel market growth 156
12.3.9 POLAND 157
12.3.9.1 Rising beef exports to accelerate demand 157
12.3.10 REST OF EUROPE 158
12.4 ASIA PACIFIC 158
12.4.1 MACROECONOMIC OUTLOOK FOR ASIA PACIFIC 159
12.4.2 CHINA 161
12.4.2.1 Increasing consolidation of smaller farms to boost demand 161
12.4.3 AUSTRALIA 162
12.4.3.1 Government-led initiatives for livestock tagging to spur demand 162
12.4.4 NEW ZEALAND 163
12.4.4.1 Implementation of robust system for livestock identification and traceability to foster market growth 163
12.4.5 INDIA 164
12.4.5.1 Strong focus on boosting dairy farm productivity to accelerate demand 164
12.4.6 REST OF ASIA PACIFIC 165
12.5 ROW 166
12.5.1 MACROECONOMIC OUTLOOK FOR ROW 166
12.5.2 MIDDLE EAST 167
12.5.2.1 GCC 169
12.5.2.1.1 Growing emphasis on developing regulatory frameworks to govern livestock identification to drive market 169
12.5.2.2 Turkey 170
12.5.2.2.1 Rising focus of livestock farmers on gaining profitability to spike demand 170
12.5.2.3 Rest of Middle East 171
12.5.3 AFRICA 171
12.5.3.1 Increasing adoption of GPS-/GIS-based systems and drones to fuel market growth 171
12.5.4 SOUTH AMERICA 172
12.5.4.1 Brazil 174
12.5.4.1.1 Growing demand for pork meat to benefit market 174

12.5.4.2 Argentina 175
12.5.4.2.1 Rising shift toward data-driven farming practices to support market growth 175
12.5.4.3 Uruguay 176
12.5.4.3.1 Availability of large-scale livestock farms to support market growth 176
12.5.4.4 Chile 176
12.5.4.4.1 Rising chicken and turkey production to foster market growth 176
12.5.4.5 Rest of South America 177
13 COMPETITIVE LANDSCAPE 179
13.1 OVERVIEW 179
13.2 KEY PLAYER STRATEGIES/RIGHT TO WIN, 2020–2024 179
13.3 MARKET SHARE ANALYSIS, 2024 181
13.4 REVENUE ANALYSIS, 2019–2023 183
13.5 COMPANY VALUATION AND FINANCIAL METRICS, 2024 184
13.6 BRAND COMPARISON 185
13.7 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2024 186
13.7.1 STARS 186
13.7.2 EMERGING LEADERS 186
13.7.3 PERVASIVE PLAYERS 186
13.7.4 PARTICIPANTS 186
13.7.5 COMPANY FOOTPRINT: KEY PLAYERS, 2024 188
13.7.5.1 Company footprint 188
13.7.5.2 Region footprint 189
13.7.5.3 Farm size footprint 190
13.7.5.4 Offering footprint 191
13.7.5.5 Livestock type footprint 192
13.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2024 193
13.8.1 PROGRESSIVE COMPANIES 193
13.8.2 RESPONSIVE COMPANIES 193
13.8.3 DYNAMIC COMPANIES 193
13.8.4 STARTING BLOCKS 193
13.8.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2024 195
13.8.5.1 Detailed list of key startups/SMEs 195
13.8.5.2 Competitive benchmarking of key startups/SMEs 195
13.9 COMPETITIVE SCENARIO 196
13.9.1 PRODUCT LAUNCHES 196
13.9.2 DEALS 197

14 COMPANY PROFILES 198
14.1 KEY PLAYERS 198
14.1.1 MERCK & CO., INC. 198
14.1.1.1 Business overview 198
14.1.1.2 Products/Solutions/Services offered 199
14.1.1.3 Recent developments 201
14.1.1.3.1 Product launches 201
14.1.1.3.2 Deals 201
14.1.1.4 MnM view 202
14.1.1.4.1 Key strengths 202
14.1.1.4.2 Strategic choices 202
14.1.1.4.3 Weaknesses and competitive threats 202
14.1.2 DATAMARS 203
14.1.2.1 Business overview 203
14.1.2.2 Products/Solutions/Services offered 204
14.1.2.3 MnM view 205
14.1.2.3.1 Key strengths 205
14.1.2.3.2 Strategic choices 205
14.1.2.3.3 Weaknesses and competitive threats 205
14.1.3 NEDAP N.V. 206
14.1.3.1 Business overview 206
14.1.3.2 Products/Solutions/Services offered 207
14.1.3.3 Recent developments 208
14.1.3.3.1 Product launches 208
14.1.3.3.2 Deals 208
14.1.3.4 MnM view 209
14.1.3.4.1 Key strengths 209
14.1.3.4.2 Strategic choices 209
14.1.3.4.3 Weaknesses and competitive threats 209
14.1.4 MS SCHIPPERS 210
14.1.4.1 Business overview 210
14.1.4.2 Products/Solutions/Services offered 210
14.1.4.3 MnM view 211
14.1.4.3.1 Key strengths 211
14.1.4.3.2 Strategic choices 211
14.1.4.3.3 Weaknesses and competitive threats 211
14.1.5 SHEARWELL DATA LTD. 212
14.1.5.1 Business overview 212
14.1.5.2 Products/Solutions/Services offered 212

14.1.5.3 MnM view 213
14.1.5.3.1 Key strengths 213
14.1.5.3.2 Strategic choices 213
14.1.5.3.3 Weaknesses and competitive threats 213
14.1.6 LEADER PRODUCTS 214
14.1.6.1 Business overview 214
14.1.6.2 Products/Solutions/Services offered 214
14.1.6.3 Recent developments 216
14.1.6.3.1 Product launches 216
14.1.7 CAISLEY INTERNATIONAL GMBH 217
14.1.7.1 Business overview 217
14.1.7.2 Products/Solutions/Services offered 217
14.1.8 KUPSAN TAG COMPANY 219
14.1.8.1 Business overview 219
14.1.8.2 Products/Solutions/Services offered 219
14.1.9 LUOYANG LAIPSON INFORMATION TECHNOLOGY CO., LTD. 220
14.1.9.1 Business overview 220
14.1.9.2 Products/Solutions/Services offered 220
14.1.9.3 Recent developments 221
14.1.9.3.1 Product launches 221
14.1.10 OMNIA TECHNOLOGIES PVT. LTD. 223
14.1.10.1 Business overview 223
14.1.10.2 Products/Solutions/Services offered 223
14.2 OTHER PLAYERS 224
14.2.1 Y-TEX CORPORATION 224
14.2.2 MOOVEMENT 225
14.2.3 ID TECH 226
14.2.4 HAUPTNER-HERBERHOLZ 227
14.2.5 ARDES 227
14.2.6 MUDDY CREEK TAGS 228
14.2.7 DALTON TAGS 228
14.2.8 NATIONAL BAND & TAG COMPANY 229
14.2.9 RITCHEY LIVESTOCK ID 229
14.2.10 I.D.OLOGY 230
14.2.11 GALLAGHER GROUP LIMITED 231
14.2.12 IDENTIS 231
14.2.13 KETCHUM MANUFACTURING INC. 232
14.2.14 RFID, INC. 232
14.2.15 ECO TRACK SYSTEMS 233

15 APPENDIX 234
15.1 INSIGHTS FROM INDUSTRY EXPERTS 234
15.2 DISCUSSION GUIDE 234
15.3 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 238
15.4 CUSTOMIZATION OPTIONS 240
15.5 RELATED REPORTS 240
15.6 AUTHOR DETAILS 241