Livestock Identification Market Size, Share & Industry Growth Analysis Report by Offering (Hardware, Software, Services), Device Lifecycle (Long, Short), Species (Cattle, Poultry, Swine), and Geography (Americas, Asia Pacific, Europe, Rest of the World)
Updated on : Oct 23, 2024
Livestock Identification Market Size & Growth
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COVID-19 Impact on the Global Livestock Identification Market
During the pandemic, various end users of livestock identification solutions across the world were significantly impacted. The epidemic led to factory shutdowns. On the other hand, various factories were operating at lower levels than normal scenarios and continued facing new restrictions due to the concerns about the continuous rise in cases and the advent of the third and fourth waves of the pandemic in certain countries across the world. As manufacturing plants remained closed and consumers stayed sheltered at home due to the lockdowns, the impact of the pandemic significantly affected the labor sector, leading to the low availability of farm laborers.
The supply chains of major livestock identification solution manufacturers, especially those based in the US, the UK, China, Brazil, India, and France, have been significantly affected by the pandemic. Before the outbreak of the COVID-19 pandemic, livestock identification solution manufacturers were optimistic that 2020 would see normalization in inventory levels, fueled by the rise in public awareness regarding the benefits of livestock identification solutions and the livestock population worldwide. However, the demand for livestock identification solutions has reduced significantly after the virus outbreak. Nevertheless, the global demand for livestock identification solutions increased post Q1 2021.
However, post Q1 of 2020, the market in China started regaining momentum as businesses in the country started reopening. The easing of lockdown regulations during the second half of 2020 led to the recovery in the growth of the livestock identification industry during the forecast period.
Livestock Identification Market Dynamics:
Driver: Increased focus of livestock farmers on real-time identification and tracking of animals
Livestock identification is an essential aspect of livestock farming. Earlier, cattle were identified and traced manually and confined to farms by building physical fences. However, advanced technologies have made real-time identification and tracking of farm animals simple and organized processes. Advanced technology-based devices such as biometric sensors, including non-invasive or invasive sensors, identify and trace the health and behavior of individual animals in real-time, allowing farmers to integrate this data for population-related analysis. The information gathered from biometric sensors is processed and integrated using big data analytics systems that rely on statistical algorithms to sort through large complex data sets and provide farmers with relevant trending patterns and decision-making tools. Real-time data gathering helps in quicker decision-making and increases farming efficiency. The data can be used to optimize farm processes, and it also helps maintain transparency in supply chain management. Sensor-enabled blockchain technology affords secure and guaranteed traceability of animal products from farm to table, a key advantage in identifying disease outbreaks and preventing related economic losses.
Faster response and prevention of livestock diseases are the major reasons for the increasing focus of livestock farmers on using real-time identification solutions. Livestock disease is very often curable if detected early. However, herd animals rarely show outward signs of sickness until it is too late, which puts the entire herd in danger. The real-time data allows farmers to make better informed decisions. Thus, mortality rates have lowered with the adoption of real-time livestock identification devices. As a result, major market players focus on developing technologically advanced and innovative products for livestock identification applications.
Restraint: High cost of electronic identification devices
The high cost of electronic identification devices such as RFID tags and readers is one of the major factors impacting the adoption of livestock identification devices by small farmers or farmers with limited budgets. Livestock identification solutions are integrated with high-cost technologies such as RFID, IoT modules, AI, and the cloud to improve livestock identification and management in less time.
Farm owners who have mostly followed the traditional identification techniques or visual identification tags find it costly to install these high-cost devices due to their budget constraints. In unorganized small- or mid-sized poultry farms, the deployment of various poultry automation systems impacts poultry farmers’ profit margins because installing such systems increases the total operating cost.
This restraint has a high impact at present due to the high prices of electronic identification devices such as RFID tags, readers, and sensors, as well as of software and services associated with them. The income or profits earned by the farmers in emerging markets such as India, China, and Brazil are not sufficient to invest in such high-tech systems, hindering the adoption of livestock identification solutions despite their benefits.
Opportunity: Rising number of government initiatives encouraging livestock identification technology use
Various policies are implemented by governments across different countries for improving the business profitability and livelihood of farmers or ranchers. Workshops are arranged by the government authorities to educate and create awareness among the farmers regarding the benefits of smart agricultural and digital livestock management techniques. For instance, New Zealand conducted a workshop on the adoption of technologies for sustainable farming in 2020. The workshop drew together participants from agriculture and environment ministries and research institutes from the Organisation for Economic Co-operation and Development (OECD) member countries. The workshop formed an integral part of the OECD program of work on agriculture and the environment under the auspices of the Joint Working Party on Agriculture and Environment.
In the livestock identification market, visual identification tags are preferred for animal identification over manual techniques due to their low cost. Government bodies are striving hard to create awareness about the use of RFID tags for accurate and real-time animal identification. For instance, the USDA’s Animal and Plant Health Inspection Service (APHIS) is expected to make the use of RFID ear tags mandatory from January 2023. In addition, to promote RFID technology, the USDA distributed eight million RFID tags among different farm owners in the country. Similarly, in 2019, the Government of India proposed Information Network for Animal Productivity and Health (INAPH) project to enable proper identification of animals and traceability of their milk or meat products. Thus, the governments’ emphasis on the adoption of advanced livestock identification technologies is expected to create lucrative opportunities for market players.
Challenge: Limited awareness about benefits of livestock identification solutions among ranchers and farm owners
Although the livestock identification marketplace is flooded with various innovative technologies, awareness among livestock farm owners remains considerably low, which impacts the adoption of digital tools for herd identification and management. Livestock identification solutions find applications in almost all functional aspects of cattle, poultry, and swine farms, such as calf management, behavior monitoring, tracking animals, and reproduction management.
However, farmers are often unable to adopt these solutions due to budget constraints or limited herd or farm size. In addition, these livestock identification solutions yield huge volumes of data, which is difficult for an unprofessional resource to process and understand. Furthermore, limited awareness and a lack of know-how pertaining to livestock technologies among farmers is another key factor hampering the growth of the market. Thus, livestock technologies are adopted at a lower rate by the farmers in emerging countries due to several factors, including the high cost involved in automating farms, lack of technical knowledge among farmers, and reluctance in adopting new farming technologies due to limited skillset and technology understanding.
Livestock Identification Market Share
The hardware segment accounted for the largest share of the livestock identification market
In 2021, the hardware segment accounted for the largest share (~74%) of the market, by offering, and a similar trend is likely to be observed during the forecast period. The largest market size of this segment is attributed to the increasing use of electronic and visual identification tags, readers, and applicators across many small-, medium-, and large-sized farms worldwide to indicate ownership of a particular animal.
These devices play a crucial role in livestock management by identifying animals; keeping records related to production, age, health, and reproduction status, which, in turn, helps farmers make logical decisions regarding livestock management. These devices also send alerts and warning signs of animal aggressiveness to farmers.
Cattle segment held the largest share of the livestock identification market
Appropriate cattle identification is essential for optimum production and profitability in the cattle business. Manual identification and management of medium- and large-sized livestock farms are costly and time-consuming. Thus, automated livestock identification solutions are preferred over manual identification and management practices.
Livestock identification is crucial in the ownership and sale of cattle. They enable farmers to make management decisions to improve the productivity of the cattle operation. In addition, the increase in the global cattle population increases the demand for cattle identification solutions. According to the USDA report, the global population of cattle was 1.0 billion head in 2021, up by 1.3% compared to 2020. Owing to these factors, the cattle segment held the largest share of the livestock identification market in 2021 and is likely to follow a similar trend throughout the forecast period.
In 2030, Europe is projected to hold the largest share of the overall livestock identification market
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In 2021, Europe held the largest market share (~41%) of the global livestock identification market. The growth can be attributed to the increased demand for pork meat in the European Union. According to Eurostat, pork meat production reached 23.4 million tonnes in 2021 compared to 23.0 million tonnes in 2020.
Moreover, regulations pertaining to animal identification imposed by the European Union also support the growth of the market in the region. For instance, 1760/2000 EU regulation establishes a system for identifying bovine animals and regulates the mandatory and voluntary labeling of beef and beef products. According to the mandate, the bovine ear tags must bear an identifying code. In addition, the 911/2004 (EC 2004a) EC regulation is enforced to implement ear tags and registration of animal passports.
Top Livestock identification Companies - Key Market Players
Some of the Key livestock identification Companies are Allflex Livestock Intelligence (US), Datamars (Switzerland), Nedap N.V. (Netherlands), MS Schippers (Netherlands), Livestock Improvement Corporation (New Zealand), Shearwell Data Ltd. (UK), Leader Products (Australia), CAISLEY International GmbH (Germany), Kupsan Tag Company Ltd. (Turkey), and Luoyang Laipson Information Technology Co., Ltd. (China).
Livestock Identification Market Report Scope
Report Metric |
Detail |
Estimated Market Size | USD 1.6 billion in 2022 |
Projected Market Size | USD 3.6 billion by 2030 |
Livestock Identification Market Growth Rate | CAGR of 10.5% |
Livestock Identification Market Size Availability for Years |
2017–2030 |
Base Year |
2021 |
Forecast Period |
2022–2030 |
Forecast Units |
Value (USD) |
Segments Covered |
By offering, device lifecycle, species, and geography |
Geographies Covered |
Americas, Europe, Asia Pacific, and RoW |
Companies Covered |
Allflex Livestock Intelligence (US), Datamars (Switzerland), Nedap N.V. (Netherlands), MS Schippers (Netherlands), Livestock Improvement Corporation (New Zealand), Shearwell Data Ltd. (UK), Leader Products (Australia), CAISLEY International GmbH (Germany), Kupsan Tag Company Ltd. (Turkey), and Luoyang Laipson Information Technology Co., Ltd. (China) are some of the key players in the livestock identification market. |
This research report categorizes the livestock identification market based on offering, device lifecycle, species, and geography
Livestock identification Market:
Based on Offering:
- Introduction
-
Hardware
-
Electronic Identification Tags
- GPS tags
-
RFID tags
- Ear tags
- Leg tags
- Back tags
-
Visual Identification Tags
- One-piece tags
- Two-piece tags
- Brisket tags
- Readers & Applicators
-
Other Hardware Offerings
- Sensors
- Boluses
-
Electronic Identification Tags
-
Software
- On-cloud
- Livestock Record Keeping Software/On-premises
-
Services
- Data Analytics
- Maintenance and Support
Based on Device Lifecycle:
- Short
- Long
Based on Species:
- Introduction
- Cattle
- Poultry
- Swine
- Others*
*Others include equine, bovine, sheep, amd goat
Based on Geography:
-
Americas
-
North America
- US
- Canada
- Mexico
-
South America
- Brazil
- Argentina
- Uruguay
- Chile
- Rest of South America
-
North America
-
Europe
- UK
- Germany
- France
- Denmark
- Norway
- Netherlands
- Spain
- Poland
- Rest of Europe
-
APAC
- China
- India
- Australia
- New Zealand
- Rest of APAC
-
Rest of the world
- Middle East
- Africa
- Turkey
Recent Developments in Livestock Identification Industry
- In February 2022, Luoyang Laipson launched the UHF RFID handheld reader that can operate at a frequency of between 860 and 960 MHz. The reader can be used to read UHF RFID Ear Tags such as UM301, UM401, US201, UF301, and UHF ear tags.
- In July 2021, MSD Animal Health acquired the assets of LIC Automation Ltd. (LIC) from New Zealand-based Livestock Improvement Corporation Ltd. (LIC). LICA is a leader in automation and technology for the dairy industry. With this acquisition, MSD Animal Health is expected to expand its product portfolio for shaping the future of animal health.
- In June 2021, Datamars acquired HerdInsights, a provider of health monitoring systems for the dairy industry, to accelerate and strengthen its livestock performance monitoring capabilities. This acquisition enabled the company to help its customers make more informed decisions and achieve measurable results.
- In May 2021, Nedap N.V. partnered with Waikato Milking Systems, a leading company developing and manufacturing dairy technology. Waikato Milking Systems now provides integrated identification, monitoring, and automation solutions with its smart CowTraQ collars and TracHQ platform, which are operated through Nedap’s integrated platform.
- In May 2020, Allflex Livestock Intelligence released SenseHub Version 4.2.0. SenseHub Version 4.2.0 adds the ability to directly Contact Us. The new Contact Us feature is available in version 4.2 on the web and mobile interfaces.
Frequently Asked Questions (FAQ):
Which are the major companies in the livestock identification market? What are their major strategies to strengthen their market presence?
The major companies in the livestock identification market are – Allflex Livestock Intelligence (US), Datamars (Switzerland), Nedap N.V. (Netherlands), MS Schippers (Netherlands), Livestock Improvement Corporation (New Zealand), Shearwell Data Ltd. (UK), Leader Products (Australia), CAISLEY International GmbH (Germany), Kupsan Tag Company Ltd. (Turkey), and Luoyang Laipson Information Technology Co., Ltd. (China). The major strategies adopted by these players are product launches, collaborations, partnerships, contracts, agreements, expansions, and acquisitions.
Which is the potential market for livestock identification in terms of the region?
The Europe region is expected to dominate the livestock identification market due to the presence of numerous consumers and livestock identification device manufacturing companies.
Which livestock identification hardware type is expected to dominate the market during the forecast period?
Electronic identification tags accounted for the largest share of the livestock identification market for hardware offerings in 2021. The growth of the segment can be attributed to the rising demand for RFID tags for livestock identification, especially due to mandates of governments in various countries to tag livestock species.
What are the drivers and opportunities for the livestock identification market?
Factors such as rapid adoption of automation technology and IoT-enabled devices for efficient management of livestock farms and increased focus of livestock farmers on real-time identification and tracking of animals are among the driving factors of the livestock identification market. Moreover, Rising number of government initiatives encouraging livestock identification technology use and growing adoption of livestock identification solutions in developing countries to create lucrative opportunities in the livestock identification market.
Who are the major consumers of livestock identification solutions that are expected to drive the growth of the market in the next 5 years?
The major consumers for livestock identification devices are cattle farms, poultry farms, swine farms, and bovine as well as equine farms are expected to have a significant share in this market. .
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TABLE OF CONTENTS
1 INTRODUCTION (Page No. - 22)
1.1 STUDY OBJECTIVES
1.2 DEFINITION AND SCOPE
1.2.1 INCLUSIONS AND EXCLUSIONS
1.3 STUDY SCOPE
1.3.1 MARKETS COVERED
FIGURE 1 LIVESTOCK IDENTIFICATION MARKET SEGMENTATION
1.3.2 GEOGRAPHIC SCOPE
1.3.3 YEARS CONSIDERED
1.4 CURRENCY
1.5 UNITS CONSIDERED
1.6 MARKET STAKEHOLDERS
1.7 SUMMARY OF CHANGES
2 RESEARCH METHODOLOGY (Page No. - 28)
2.1 RESEARCH DATA
FIGURE 2 LIVESTOCK IDENTIFICATION MARKET: RESEARCH DESIGN
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 Secondary sources
2.1.3 PRIMARY DATA
2.1.3.1 Primary interviews with experts
2.1.3.2 Breakdown of primaries
2.1.3.3 Key data from primary sources
2.1.3.4 Key industry insights
2.2 FACTOR ANALYSIS
FIGURE 3 MARKET SIZE ESTIMATION METHODOLOGY: APPROACH 1 – TOP-DOWN (SUPPLY SIDE): REVENUES GENERATED BY COMPANIES FROM SALES OF LIVESTOCK IDENTIFICATION PRODUCTS AND SERVICES
FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY: APPROACH 1 – TOP-DOWN (SUPPLY SIDE): ILLUSTRATION OF REVENUE ESTIMATIONS FOR ONE COMPANY IN LIVESTOCK IDENTIFICATION MARKET
FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY: APPROACH 2 – BOTTOM-UP (DEMAND SIDE): DEMAND FOR LIVESTOCK IDENTIFICATION SOLUTIONS, BY SPECIES
2.3 MARKET SIZE ESTIMATION
2.3.1 BOTTOM-UP APPROACH
2.3.1.1 Approach for obtaining market size using bottom-up analysis (demand side)
FIGURE 6 MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP APPROACH
2.3.2 TOP-DOWN APPROACH
2.3.2.1 Approach for obtaining market size using top-down analysis (supply side)
FIGURE 7 MARKET SIZE ESTIMATION METHODOLOGY: TOP-DOWN APPROACH
2.4 MARKET BREAKDOWN AND DATA TRIANGULATION
FIGURE 8 DATA TRIANGULATION
2.5 RESEARCH ASSUMPTIONS
2.5.1 ASSUMPTIONS
2.5.2 LIMITATIONS
2.6 RISK ASSESSMENT
3 EXECUTIVE SUMMARY (Page No. - 42)
3.1 IMPACT OF COVID-19 PANDEMIC ON LIVESTOCK IDENTIFICATION MARKET
FIGURE 9 GLOBAL PROPAGATION OF COVID-19
TABLE 1 RECOVERY SCENARIOS FOR GLOBAL ECONOMY
3.1.1 REALISTIC SCENARIO
3.1.2 OPTIMISTIC SCENARIO
3.1.3 PESSIMISTIC SCENARIO
FIGURE 10 GROWTH PROJECTIONS OF LIVESTOCK IDENTIFICATION MARKET IN REALISTIC, OPTIMISTIC, AND PESSIMISTIC SCENARIOS
FIGURE 11 HARDWARE SEGMENT TO ACCOUNT FOR LARGEST SHARE OF LIVESTOCK IDENTIFICATION MARKET, BY OFFERING, FROM 2022 TO 2030
FIGURE 12 CATTLE SEGMENT TO CAPTURE LARGEST SHARE OF LIVESTOCK IDENTIFICATION MARKET, BY SPECIES, IN 2030
FIGURE 13 ASIA PACIFIC TO REGISTER HIGHEST CAGR IN GLOBAL LIVESTOCK IDENTIFICATION MARKET DURING FORECAST PERIOD
4 PREMIUM INSIGHTS (Page No. - 49)
4.1 LIVESTOCK IDENTIFICATION MARKET OPPORTUNITIES
FIGURE 14 INCREASED GLOBAL POPULATION OF LIVESTOCK TO FUEL MARKET GROWTH FROM 2022 TO 2030
4.2 LIVESTOCK IDENTIFICATION MARKET, BY OFFERING
FIGURE 15 HARDWARE OFFERINGS TO ACCOUNT FOR LARGEST SHARE OF GLOBAL LIVESTOCK IDENTIFICATION MARKET IN 2030
4.3 LIVESTOCK IDENTIFICATION MARKET, BY DEVICE LIFECYCLE
FIGURE 16 LIVESTOCK IDENTIFICATION SOLUTIONS WITH LONG LIFECYCLE TO ACCOUNT FOR LARGER MARKET SHARE IN 2030
4.4 LIVESTOCK IDENTIFICATION MARKET, BY SPECIES
FIGURE 17 CATTLE SEGMENT TO ACCOUNT FOR LARGEST SHARE OF LIVESTOCK IDENTIFICATION MARKET IN 2022 AND 2030
4.5 LIVESTOCK IDENTIFICATION MARKET, BY REGION
FIGURE 18 ASIA PACIFIC TO WITNESS HIGHEST CAGR IN GLOBAL LIVESTOCK IDENTIFICATION MARKET DURING FORECAST PERIOD
5 MARKET OVERVIEW (Page No. - 52)
5.1 INTRODUCTION
5.2 MARKET DYNAMICS
FIGURE 19 LIVESTOCK IDENTIFICATION MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES
5.2.1 DRIVERS
5.2.1.1 Large potential to reduce economic losses and livestock mortality rates due to accurate and efficient animal disease traceability
5.2.1.2 Rapid adoption of automation technology and IoT-enabled devices for efficient management of livestock farms
5.2.1.3 Increased focus of livestock farmers on real-time identification and tracking of animals
FIGURE 20 LIVESTOCK IDENTIFICATION MARKET DRIVERS AND THEIR IMPACT
5.2.2 RESTRAINTS
5.2.2.1 Gradual transition to vegan diet affecting market growth in European countries
FIGURE 21 TOTAL NUMBER OF PARTICIPANTS IN VEGANUARY PROGRAM, 2014–2022
5.2.2.2 High cost of electronic identification devices
FIGURE 22 LIVESTOCK IDENTIFICATION MARKET RESTRAINTS AND THEIR IMPACT
5.2.3 OPPORTUNITIES
5.2.3.1 Rising number of government initiatives encouraging livestock identification technology use
5.2.3.2 Growing adoption of livestock identification solutions in developing countries
TABLE 2 TECHNOLOGY-WISE GLOBAL ADOPTION RATE
FIGURE 23 LIVESTOCK IDENTIFICATION MARKET OPPORTUNITIES AND THEIR IMPACT
5.2.4 CHALLENGES
5.2.4.1 Significant contribution of livestock in production of greenhouse gases
5.2.4.2 Limited awareness about benefits of livestock identification solutions among ranchers and farm owners
FIGURE 24 LIVESTOCK IDENTIFICATION MARKET CHALLENGES AND THEIR IMPACT
5.3 SUPPLY CHAIN ANALYSIS
FIGURE 25 SUPPLY CHAIN ANALYSIS OF LIVESTOCK IDENTIFICATION MARKET
5.4 TRENDS/DISRUPTIONS IMPACTING BUSINESS OF MARKET PLAYERS AND RAW MATERIAL SUPPLIERS
5.4.1 REVENUE SHIFT AND NEW REVENUE POCKETS FOR LIVESTOCK IDENTIFICATION MARKET PLAYERS
FIGURE 26 REVENUE SHIFT IN LIVESTOCK IDENTIFICATION MARKET
5.5 ECOSYSTEM
FIGURE 27 LIVESTOCK IDENTIFICATION ECOSYSTEM
TABLE 3 LIST OF LIVESTOCK IDENTIFICATION DEVICE MANUFACTURERS, SOFTWARE, AND SERVICE PROVIDERS
5.6 PORTER’S FIVE FORCE ANALYSIS
TABLE 4 LIVESTOCK IDENTIFICATION MARKET: PORTER’S FIVE FORCES ANALYSIS
FIGURE 28 PORTER’S FIVE FORCES ANALYSIS
5.6.1 INTENSITY OF COMPETITIVE RIVALRY
5.6.2 THREAT OF SUBSTITUTES
5.6.3 BARGAINING POWER OF BUYERS
5.6.4 BARGAINING POWER OF SUPPLIERS
5.6.5 THREAT OF NEW ENTRANTS
5.7 KEY STAKEHOLDERS & BUYING CRITERIA
5.7.1 KEY STAKEHOLDERS IN BUYING PROCESS
FIGURE 29 INFLUENCE OF STAKEHOLDERS IN BUYING PROCESS FOR MAJOR APPLICATIONS
TABLE 5 INFLUENCE OF STAKEHOLDERS IN BUYING PROCESS FOR MAJOR APPLICATIONS (%)
5.7.2 BUYING CRITERIA
FIGURE 30 KEY BUYING CRITERIA FOR MAJOR APPLICATION
TABLE 6 KEY BUYING CRITERIA FOR MAJOR APPLICATIONS
5.8 CASE STUDIES
TABLE 7 DEVELOPING RFID SYSTEMS COMPLIANT WITH NATIONAL LIVESTOCK IDENTIFICATION SYSTEM
TABLE 8 DEVELOPING RFID TAGS FOR ACCURATE IDENTIFICATION
TABLE 9 SMART TAGS FOR SEAMLESS TRANSMISSION OF RELATIONSHIP DATA FOR ACCURATE IDENTIFICATION OF LIVESTOCK
TABLE 10 AI-BASED PLATFORM FOR IDENTIFICATION OF COWS
5.9 TECHNOLOGY ANALYSIS
5.9.1 KEY TECHNOLOGIES
5.9.1.1 Radio frequency identification
5.9.2 COMPLEMENTARY TECHNOLOGIES
5.9.2.1 AI and blockchain
5.9.2.2 Bluetooth Low Energy (BLE)
5.9.2.3 Tissue sampling
FIGURE 31 LIVESTOCK IDENTIFICATION MARKET FOR TISSUE SAMPLING SOLUTIONS, 2021 VS. 2030
5.9.3 TECHNOLOGY ADOPTION IN DAIRY FARMS
TABLE 11 MAJOR TECHNOLOGY TRENDS IN DAIRY FARMS
TABLE 12 MAJOR TECHNOLOGY TRENDS IN POULTRY FARMS
5.10 PRICING ANALYSIS
TABLE 13 AVERAGE SELLING PRICES OF LIVESTOCK IDENTIFICATION SOLUTIONS, BY HARDWARE OFFERING
TABLE 14 AVERAGE SELLING PRICES OF HARDWARE OFFERINGS PROVIDED BY KEY PLAYERS IN LIVESTOCK IDENTIFICATION MARKET
FIGURE 32 AVERAGE SELLING PRICE TREND FOR RFID TAGS USED IN LIVESTOCK IDENTIFICATION, 2017–2030 (USD)
5.11 TRADE ANALYSIS
5.11.1 IMPORT SCENARIO
TABLE 15 IMPORT DATA, BY COUNTRY, 2016–2020 (USD MILLION)
FIGURE 33 ANIMAL IDENTIFICATION TAGS: IMPORT VALUES FOR MAJOR COUNTRIES, 2016–2020
5.11.2 EXPORT SCENARIO
TABLE 16 EXPORT DATA, BY COUNTRY, 2016–2020 (USD MILLION)
FIGURE 34 ANIMAL IDENTIFICATION TAGS: EXPORT VALUES FOR MAJOR COUNTRIES, 2016–2020
5.12 KEY CONFERENCES AND EVENTS DURING 2022–2023
TABLE 17 LIVESTOCK IDENTIFICATION MARKET: DETAILED LIST OF CONFERENCES AND EVENTS
5.13 PATENT ANALYSIS
TABLE 18 LIVESTOCK IDENTIFICATION SYSTEMS BY ANIMAL BIOTECH LLC
TABLE 19 LIVESTOCK IDENTIFICATION DEVICES BY ALLFLEX INTERNATIONAL LIMITED
TABLE 20 PATENT ANALYSIS FOR LIVESTOCK EAR TAGS BY ALLFLEX INTERNATIONAL LIMITED
FIGURE 35 PATENTS GRANTED WORLDWIDE, 2011–2021
TABLE 21 TOP 20 PATENT OWNERS IN US, 2011–2021
FIGURE 36 TOP 10 COMPANIES WITH HIGHEST NUMBER OF PATENT APPLICATIONS, 2011–2021
5.14 TARIFF AND REGULATORY LANDSCAPE
5.14.1 TARIFFS
TABLE 22 MFN TARIFF PERCENTAGE FOR LIVE ANIMALS EXPORTED BY FRANCE TO OTHER COUNTRIES, 2021
5.14.1.1 Impact of tariffs on livestock identification market
5.14.2 REGULATORY COMPLIANCE
5.14.2.1 Australia
5.14.2.2 Europe
5.14.3 STANDARDS
6 TECHNOLOGIES UTILIZED IN LIVESTOCK IDENTIFICATION SOLUTIONS (Page No. - 84)
6.1 INTRODUCTION
FIGURE 37 TECHNOLOGIES UTILIZED IN LIVESTOCK IDENTIFICATION SOLUTIONS
6.2 LOW-FREQUENCY RFID
6.2.1 LOW-FREQUENCY RFID TAGS ARE INCREASINGLY ADOPTED FOR ANIMAL TRACKING, TICKETING, AND ACCESS CONTROL APPLICATIONS
6.3 HIGH-FREQUENCY RFID
6.3.1 HIGH-FREQUENCY RFID TAGS, INCLUDING ANIMAL TAGS, ARE UTILIZED IN APPLICATIONS REQUIRING SMALL READ RANGE
6.4 ULTRA-HIGH-FREQUENCY (UHF) RFID
6.4.1 UHF PASSIVE TAGS ARE UTILIZED IN ANIMAL TRACKING, ANIMAL COUNTING, AND FARM MANAGEMENT APPLICATIONS THAT REQUIRE READ RANGE OF LONGER THAN ONE METER
6.5 ZIGBEE
6.5.1 ZIGBEE IS EXPECTED TO BE USED IN REAL-TIME TRACKING AND MONITORING OF LIVESTOCK IN NEAR FUTURE
6.6 4G/5G
6.6.1 5G WIRELESS TECHNOLOGY DELIVERS HIGHER MULTI GBPS PEAK DATA SPEEDS, ULTRA-LOW LATENCY, HIGHER RELIABILITY, MASSIVE NETWORK CAPACITY, INCREASED AVAILABILITY, AND UNIFORM USER EXPERIENCE
6.7 LORA
6.7.1 LORA IS LONG-RANGE LOW-POWER WIRELESS PLATFORM USED FOR BUILDING IOT NETWORKS GLOBALLY
6.8 OTHERS
7 LIVESTOCK IDENTIFICATION MARKET, BY OFFERING (Page No. - 88)
7.1 INTRODUCTION
FIGURE 38 LIVESTOCK IDENTIFICATION MARKET, BY OFFERING
FIGURE 39 HARDWARE SEGMENT TO CAPTURE LARGEST SHARE OF MARKET, BY OFFERING, IN 2022
TABLE 23 MARKET, BY OFFERING, 2017–2021 (USD MILLION)
TABLE 24 MARKET, BY OFFERING, 2022–2030 (USD MILLION)
7.2 HARDWARE
TABLE 25 LIVESTOCK IDENTIFICATION MARKET FOR HARDWARE, BY TYPE, 2017–2021 (USD MILLION)
TABLE 26 MARKET FOR HARDWARE, BY TYPE, 2022–2030 (USD MILLION)
TABLE 27 MARKET FOR HARDWARE, BY SPECIES, 2017–2021 (USD MILLION)
TABLE 28 MARKET FOR HARDWARE, BY SPECIES, 2022–2030 (USD MILLION)
7.2.1 ELECTRONIC IDENTIFICATION TAGS
FIGURE 40 GPS TAGS TO RECORD HIGHER CAGR IN LIVESTOCK IDENTIFICATION MARKET, BY ELECTRONIC IDENTIFICATION TAG TYPE, FROM 2022 TO 2030
TABLE 29 MARKET FOR ELECTRONIC IDENTIFICATION TAGS, BY TYPE, 2017–2021 (USD MILLION)
TABLE 30 MARKET FOR ELECTRONIC IDENTIFICATION TAGS, BY TYPE, 2022–2030 (USD MILLION)
TABLE 31 MARKET FOR RFID TAGS, 2017–2021 (MILLION UNITS)
TABLE 32 MARKET FOR RFID TAGS, 2022–2030 (MILLION UNITS)
7.2.1.1 RFID tags
7.2.1.1.1 RFID tags enable easy and quick identification and tracking of livestock
TABLE 33 LIVESTOCK IDENTIFICATION MARKET FOR RFID TAGS, BY TYPE, 2017–2021 (USD MILLION)
TABLE 34 MARKET FOR RFID TAGS, BY TYPE, 2022–2030 (USD MILLION)
7.2.1.1.2 Ear tags
7.2.1.1.2.1 Ear tags are among widely used livestock identification devices
7.2.1.1.3 Leg tags
7.2.1.1.3.1 RFID leg tags provide accurate, real-time information to livestock farmers
7.2.1.1.4 Back tags
7.2.1.1.4.1 Back tags can be read from longer distance
7.2.1.2 GPS tags
7.2.1.2.1 GPS tags enable easy and quick tracking of animals
7.2.2 VISUAL IDENTIFICATION TAGS
7.2.2.1 Visual identification tags help farmers visually identify and track their herds
TABLE 35 LIVESTOCK IDENTIFICATION MARKET FOR VISUAL IDENTIFICATION TAGS, BY TYPE, 2017–2021 (USD MILLION)
TABLE 36 MARKET FOR VISUAL IDENTIFICATION TAGS, BY TYPE, 2022–2030 (USD MILLION)
7.2.2.2 One-piece tags
7.2.2.2.1 One-piece tags have long-lasting durability and retention
7.2.2.3 Two-piece tags
7.2.2.3.1 Two-piece visual identification tags are better option for livestock identification and management
7.2.2.4 Brisket tags
7.2.2.4.1 Brisket tags are easily visible and do not snag
7.2.3 READERS AND APPLICATORS
7.2.3.1 Readers and applicators are essential tools in livestock identification market
7.2.4 OTHER HARDWARE OFFERINGS
TABLE 37 MARKET FOR OTHER HARDWARE OFFERINGS, BY TYPE, 2017–2021 (USD MILLION)
TABLE 38 MARKET FOR OTHER HARDWARE OFFERINGS, BY TYPE, 2022–2030 (USD MILLION)
7.2.4.1 Sensors
7.2.4.1.1 Sensors enable continuous identification and monitoring of animal health
7.2.4.2 Boluses
7.2.4.2.1 Bolus is secure alternative for electronic livestock identification
7.3 SOFTWARE
TABLE 39 LIVESTOCK IDENTIFICATION MARKET FOR SOFTWARE, BY TYPE, 2017–2021 (USD MILLION)
TABLE 40 MARKET FOR SOFTWARE, BY TYPE, 2022–2030 (USD MILLION)
FIGURE 41 CATTLE SEGMENT TO CAPTURE LARGEST SHARE OF MARKET FOR SOFTWARE I 2022
TABLE 41 LIVESTOCK IDENTIFICATION MARKET FOR SOFTWARE, BY SPECIES, 2017–2021 (USD MILLION)
TABLE 42 MARKET FOR SOFTWARE, BY SPECIES, 2022–2030 (USD MILLION)
7.3.1 ON-CLOUD SOFTWARE
7.3.1.1 On-cloud software solutions are flexible, scalable, and affordable
7.3.2 LIVESTOCK RECORD-KEEPING SOFTWARE/ON-PREMISES
7.3.2.1 Livestock record-keeping software is beneficial for organizations migrating from one system to another
7.4 SERVICES
TABLE 43 MARKET FOR SERVICES, BY TYPE, 2017–2021 (USD MILLION)
TABLE 44 MARKET FOR SERVICES, BY TYPE, 2022–2030 (USD MILLION)
TABLE 45 MARKET FOR SERVICES, BY SPECIES, 2017–2021 (USD MILLION)
TABLE 46 MARKET FOR SERVICES, BY SPECIES, 2022–2030 (USD MILLION)
7.4.1 DATA ANALYTICS
7.4.1.1 Data analytics plays crucial role in analyzing information gathered on animal health
7.4.2 MAINTENANCE AND SUPPORT SERVICES
7.4.2.1 Maintenance and support services are essential to maintain performance of livestock identification devices
8 LIVESTOCK IDENTIFICATION MARKET, BY DEVICE LIFECYCLE (Page No. - 104)
8.1 INTRODUCTION
FIGURE 42 MARKET, BY DEVICE LIFECYCLE
FIGURE 43 LIVESTOCK IDENTIFICATION DEVICES WITH LONG LIFECYCLE TO DOMINATE MARKET FROM 2022 TO 2030
TABLE 47 MARKET, BY DEVICE LIFECYCLE, 2017–2021 (USD MILLION)
TABLE 48 MARKET, BY DEVICE LIFECYCLE, 2022–2030 (USD MILLION)
8.2 SHORT
8.2.1 SHORT-LIFECYCLE DEVICES ARE PRIMARILY USED IN SWINE AND POULTRY FARMS
8.3 LONG
8.3.1 LONG-LIFECYCLE LIVESTOCK IDENTIFICATION DEVICES ARE IDEAL FOR ANIMALS WITH LONGER LIFESPAN
9 LIVESTOCK IDENTIFICATION MARKET, BY SPECIES (Page No. - 107)
9.1 INTRODUCTION
FIGURE 44 MARKET, BY SPECIES
FIGURE 45 CATTLE SEGMENT TO ACCOUNT FOR LARGEST SHARE OF LIVESTOCK IDENTIFICATION MARKET IN 2030
TABLE 49 MARKET, BY SPECIES, 2017–2021 (USD MILLION)
TABLE 50 MARKET, BY SPECIES, 2022–2030 (USD MILLION)
9.2 CATTLE
9.2.1 INCREASING USE OF IDENTIFICATION SOLUTIONS TO TRACK CATTLE PRODUCTION AND HEALTH RECORDS EXPECTED TO AUGMENT MARKET GROWTH
TABLE 51 LIVESTOCK IDENTIFICATION MARKET FOR CATTLE, BY OFFERING, 2017–2021 (USD MILLION)
TABLE 52 MARKET FOR CATTLE, BY OFFERING, 2022–2030 (USD MILLION)
9.3 POULTRY
9.3.1 RISING POULTRY MEAT PRODUCTION WORLDWIDE TO SUPPORT MARKET GROWTH
TABLE 53 MARKET FOR POULTRY, BY OFFERING, 2017–2021 (USD MILLION)
TABLE 54 MARKET FOR POULTRY, BY OFFERING, 2022–2030 (USD MILLION)
9.4 SWINE/PIGS
9.4.1 GROWING NUMBER OF CONSUMERS OF PORK MEAT GLOBALLY LIKELY TO STIMULATE MARKET GROWTH
TABLE 55 LIVESTOCK IDENTIFICATION MARKET FOR SWINE, BY OFFERING, 2017–2021 (USD MILLION)
TABLE 56 MARKET FOR SWINE, BY OFFERING, 2022–2030 (USD MILLION)
9.5 OTHERS
TABLE 57 MARKET FOR OTHER SPECIES, BY OFFERING, 2017–2021 (USD MILLION)
TABLE 58 MARKET FOR OTHER SPECIES, BY OFFERING, 2022–2030 (USD MILLION)
10 GEOGRAPHIC ANALYSIS (Page No. - 115)
10.1 INTRODUCTION
FIGURE 46 REGIONAL-LEVEL CLASSIFICATION OF MARKET
FIGURE 47 ASIA PACIFIC TO WITNESS HIGHEST CAGR IN MARKET DURING FORECAST PERIOD
TABLE 59 LIVESTOCK IDENTIFICATION MARKET, BY REGION, 2017–2021 (USD MILLION)
TABLE 60 MARKET, BY REGION, 2022–2030 (USD MILLION)
10.2 AMERICAS
FIGURE 48 AMERICAS: LIVESTOCK IDENTIFICATION MARKET SNAPSHOT
TABLE 61 MARKET IN AMERICAS, BY REGION, 2017–2021 (USD MILLION)
TABLE 62 MARKET IN AMERICAS, BY REGION, 2022–2030 (USD MILLION)
TABLE 63 MARKET IN AMERICAS, BY OFFERING, 2017–2021 (USD MILLION)
TABLE 64 MARKET IN AMERICAS, BY OFFERING, 2022–2030 (USD MILLION)
10.2.1 MNM VIEW ON COVID-19 IMPACT IN AMERICAS
10.2.2 NORTH AMERICA
FIGURE 49 US TO ACCOUNT FOR LARGEST SHARE OF LIVESTOCK IDENTIFICATION MARKET IN 2022
TABLE 65 MARKET IN NORTH AMERICA, BY COUNTRY, 2017–2021 (USD MILLION)
TABLE 66 MARKET IN NORTH AMERICA, BY COUNTRY, 2022–2030 (USD MILLION)
TABLE 67 MARKET IN NORTH AMERICA, BY OFFERING, 2017–2021 (USD MILLION)
TABLE 68 MARKET IN NORTH AMERICA, BY OFFERING, 2022–2030 (USD MILLION)
10.2.2.1 US
10.2.2.1.1 US to dominate livestock identification market in North America in coming years
TABLE 69 LIVESTOCK IDENTIFICATION MARKET IN US, BY OFFERING, 2017–2021 (USD MILLION)
TABLE 70 MARKET IN US, BY OFFERING, 2022–2030 (USD MILLION)
10.2.2.2 Canada
10.2.2.2.1 Beef industry to contribute to market growth in Canada
TABLE 71 MARKET IN CANADA, BY OFFERING, 2017–2021 (USD MILLION)
TABLE 72 MARKET IN CANADA, BY OFFERING, 2022–2030 (USD MILLION)
10.2.2.3 Mexico
10.2.2.3.1 Mexican market growth is driven by widespread network of distributors of livestock identification solutions
TABLE 73 MARKET IN MEXICO, BY OFFERING, 2017–2021 (USD MILLION)
TABLE 74 MARKET IN MEXICO, BY OFFERING, 2022–2030 (USD MILLION)
10.2.3 SOUTH AMERICA
TABLE 75 LIVESTOCK IDENTIFICATION MARKET IN SOUTH AMERICA, BY COUNTRY, 2017–2021 (USD MILLION)
TABLE 76 MARKET IN SOUTH AMERICA, BY COUNTRY, 2022–2030 (USD MILLION)
FIGURE 50 HARDWARE SEGMENT TO ACCOUNT FOR LARGEST SHARE OF SOUTH AMERICAN LIVESTOCK IDENTIFICATION MARKET, BY OFFERING, IN 2022
TABLE 77 MARKET IN SOUTH AMERICA, BY OFFERING, 2017–2021 (USD MILLION)
TABLE 78 MARKET IN SOUTH AMERICA, BY OFFERING, 2022–2030 (USD MILLION)
10.2.3.1 Brazil
10.2.3.1.1 Brazil to dominate South American market during forecast period
TABLE 79 LIVESTOCK IDENTIFICATION MARKET IN BRAZIL, BY OFFERING, 2017–2021 (USD MILLION)
TABLE 80 MARKET IN BRAZIL, BY OFFERING, 2022–2030 (USD MILLION)
10.2.3.2 Argentina
10.2.3.2.1 Argentina likely to be fastest-growing market for livestock identification solutions
TABLE 81 MARKET IN ARGENTINA, BY OFFERING, 2017–2021 (USD MILLION)
TABLE 82 MARKET IN ARGENTINA, BY OFFERING, 2022–2030 (USD MILLION)
10.2.3.3 Uruguay
10.2.3.3.1 Livestock identification market expected to grow steadily in Uruguay with increasing livestock population
TABLE 83 MARKET IN URUGUAY, BY OFFERING, 2017–2021 (USD MILLION)
TABLE 84 MARKET IN URUGUAY, BY OFFERING, 2022–2030 (USD MILLION)
10.2.3.4 Chile
10.2.3.4.1 Chilean market growth is driven by prominent presence of pig and poultry farms
TABLE 85 MARKET IN CHILE, BY OFFERING, 2017–2021 (USD MILLION)
TABLE 86 MARKET IN CHILE, BY OFFERING, 2022–2030 (USD MILLION)
10.2.3.5 Rest of South America
TABLE 87 MARKET IN REST OF SOUTH AMERICA, BY OFFERING, 2017–2021 (USD THOUSAND)
TABLE 88 MARKET IN REST OF SOUTH AMERICA, BY OFFERING, 2022–2030 (USD THOUSAND)
10.3 EUROPE
FIGURE 51 EUROPE: LIVESTOCK IDENTIFICATION MARKET SNAPSHOT
FIGURE 52 GERMANY TO ACCOUNT LARGEST SHARE OF EUROPEAN MARKET THROUGHOUT FORECAST PERIOD
TABLE 89 MARKET IN EUROPE, BY COUNTRY, 2017–2021 (USD MILLION)
TABLE 90 MARKET IN EUROPE, BY COUNTRY, 2022–2030 (USD MILLION)
TABLE 91 MARKET IN EUROPE, BY OFFERING, 2017–2021 (USD MILLION)
TABLE 92 MARKET IN EUROPE, BY OFFERING, 2022–2030 (USD MILLION)
10.3.1 GERMANY
10.3.1.1 Germany to dominate European livestock identification market in coming years
TABLE 93 MARKET IN GERMANY, BY OFFERING, 2017–2021 (USD MILLION)
TABLE 94 MARKET IN GERMANY, BY OFFERING, 2022–2030 (USD MILLION)
10.3.2 NETHERLANDS
10.3.2.1 Increasing livestock population to drive market growth in Netherlands
TABLE 95 LIVESTOCK IDENTIFICATION MARKET IN NETHERLANDS, BY OFFERING, 2017–2021 (USD MILLION)
TABLE 96 MARKET IN NETHERLANDS, BY OFFERING, 2022–2030 (USD MILLION)
10.3.3 UK
10.3.3.1 Robust economy and significant funding from public and private authorities for R&D in livestock farming technologies fuel market growth
TABLE 97 MARKET IN UK, BY OFFERING, 2017–2021 (USD MILLION)
TABLE 98 MARKET IN UK, BY OFFERING, 2022–2030 (USD MILLION)
10.3.4 FRANCE
10.3.4.1 Active involvement of France in strengthening agriculture and livestock sectors to propel market growth
TABLE 99 LIVESTOCK IDENTIFICATION MARKET IN FRANCE, BY OFFERING, 2017–2021 (USD MILLION)
TABLE 100 MARKET IN FRANCE, BY OFFERING, 2022–2030 (USD MILLION)
10.3.5 DENMARK
10.3.5.1 Stringent government norms related to livestock tagging and regular inspection by authorities support market growth
TABLE 101 MARKET IN DENMARK, BY OFFERING, 2017–2021 (USD MILLION)
TABLE 102 MARKET IN DENMARK, BY OFFERING, 2022–2030 (USD MILLION)
10.3.6 SPAIN
10.3.6.1 Increased livestock production and meat consumption spur market growth
TABLE 103 LIVESTOCK IDENTIFICATION MARKET IN SPAIN, BY OFFERING, 2017–2021 (USD MILLION)
TABLE 104 MARKET IN SPAIN, BY OFFERING, 2022–2030 (USD MILLION)
10.3.7 NORWAY
10.3.7.1 Norway is projected to record second-highest CAGR in European market during forecast period
TABLE 105 MARKET IN NORWAY, BY OFFERING, 2017–2021 (USD MILLION)
TABLE 106 MARKET IN NORWAY, BY OFFERING, 2022–2030 (USD MILLION)
10.3.8 POLAND
10.3.8.1 High bovine population fuels market growth
TABLE 107 LIVESTOCK IDENTIFICATION MARKET IN POLAND, BY OFFERING, 2017–2021 (USD MILLION)
TABLE 108 MARKET IN POLAND, BY OFFERING, 2022–2030 (USD MILLION)
10.3.9 REST OF EUROPE
TABLE 109 MARKET IN REST OF EUROPE, BY OFFERING, 2017–2021 (USD MILLION)
TABLE 110 MARKET IN REST OF EUROPE, BY OFFERING, 2022–2030 (USD MILLION)
10.3.10 MNM VIEW ON COVID-19 IMPACT IN EUROPE
10.4 ASIA PACIFIC
FIGURE 53 ASIA PACIFIC: LIVESTOCK IDENTIFICATION MARKET SNAPSHOT
FIGURE 54 CHINA TO ACCOUNT FOR LARGEST SHARE OF MARKET IN ASIA PACIFIC FROM 2022 TO 2030
TABLE 111 MARKET IN ASIA PACIFIC, BY COUNTRY, 2017–2021 (USD MILLION)
TABLE 112 MARKET IN ASIA PACIFIC, BY COUNTRY, 2022–2030 (USD MILLION)
TABLE 113 MARKET IN ASIA PACIFIC, BY OFFERING, 2017–2021 (USD MILLION)
TABLE 114 MARKET IN ASIA PACIFIC, BY OFFERING, 2022–2030 (USD MILLION)
10.4.1 CHINA
10.4.1.1 Huge cattle and pig population and high demand for meat products to boost market growth
TABLE 115 LIVESTOCK IDENTIFICATION MARKET IN CHINA, BY OFFERING, 2017–2021 (USD MILLION)
TABLE 116 MARKET IN CHINA, BY OFFERING, 2022–2030 (USD MILLION)
10.4.2 AUSTRALIA
10.4.2.1 Strict regulatory policies related to livestock tagging imposed by Australian state and territory legislator authorities to spur market growth
TABLE 117 MARKET IN AUSTRALIA, BY OFFERING, 2017–2021 (USD MILLION)
TABLE 118 MARKET IN AUSTRALIA, BY OFFERING, 2022–2030 (USD MILLION)
10.4.3 NEW ZEALAND
10.4.3.1 High labor costs to drive demand for livestock identification solutions in New Zealand
TABLE 119 MARKET IN NEW ZEALAND, BY OFFERING, 2017–2021 (USD MILLION)
TABLE 120 MARKET IN NEW ZEALAND, BY OFFERING, 2022–2030 (USD MILLION)
10.4.4 INDIA
10.4.4.1 Robust presence of market players and huge cattle population to boost demand for livestock identification solutions in India
TABLE 121 LIVESTOCK IDENTIFICATION MARKET IN INDIA, BY OFFERING, 2017–2021 (USD MILLION)
TABLE 122 MARKET IN INDIA, BY OFFERING, 2022–2030 (USD MILLION)
10.4.5 REST OF ASIA PACIFIC
TABLE 123 MARKET IN REST OF ASIA PACIFIC, BY OFFERING, 2017–2021 (USD MILLION)
TABLE 124 MARKET IN REST OF ASIA PACIFIC, BY OFFERING, 2022–2030 (USD MILLION)
10.4.6 MNM VIEW ON COVID-19 IMPACT IN ASIA PACIFIC
10.5 ROW
TABLE 125 LIVESTOCK IDENTIFICATION MARKET IN ROW, BY GEOGRAPHY, 2017–2021 (USD MILLION)
TABLE 126 MARKET IN ROW, BY GEOGRAPHY, 2022–2030 (USD MILLION)
TABLE 127 MARKET IN ROW, BY OFFERING, 2017–2021 (USD MILLION)
TABLE 128 MARKET IN ROW, BY OFFERING, 2022–2030 (USD MILLION)
10.5.1 MIDDLE EAST
10.5.1.1 Middle Eastern livestock identification market is still in growth phase and presents growth opportunities
TABLE 129 MARKET IN MIDDLE EAST, BY OFFERING, 2017–2021 (USD MILLION)
TABLE 130 MARKET IN MIDDLE EAST, BY OFFERING, 2022–2030 (USD MILLION)
10.5.2 AFRICA
10.5.2.1 Investment in commercial farming projects expected to support livestock identification market growth in Africa
TABLE 131 MARKET IN AFRICA, BY OFFERING, 2017–2021 (USD MILLION)
TABLE 132 MARKET IN AFRICA, BY OFFERING, 2022–2030 (USD MILLION)
10.5.3 TURKEY
10.5.3.1 Livestock identification solutions help farmers to increase profitability of livestock farming businesses
TABLE 133 MARKET IN TURKEY, BY OFFERING, 2017–2021 (USD MILLION)
TABLE 134 MARKET IN TURKEY, BY OFFERING, 2022–2030 (USD MILLION)
10.5.4 MNM VIEW ON COVID-19 IMPACT IN ROW
11 COMPETITIVE LANDSCAPE (Page No. - 158)
11.1 OVERVIEW
11.2 MARKET EVALUATION FRAMEWORK
TABLE 135 REVIEW OF STRATEGIES DEPLOYED BY KEY LIVESTOCK IDENTIFICATION SOLUTION MANUFACTURERS
11.2.1 PRODUCT PORTFOLIO
11.2.2 REGIONAL FOCUS
11.2.3 MANUFACTURING FOOTPRINT
11.2.4 ORGANIC/INORGANIC STRATEGIES
11.3 MARKET SHARE ANALYSIS, 2021
TABLE 136 MARKET SHARE ANALYSIS OF TOP 5 COMPANIES (2021)
11.4 FIVE-YEAR COMPANY REVENUE ANALYSIS
FIGURE 55 FIVE-YEAR REVENUE ANALYSIS OF TOP 5 PLAYERS IN LIVESTOCK IDENTIFICATION MARKET, 2017–2021
11.5 COMPANY EVALUATION QUADRANT
11.5.1 STAR
11.5.2 EMERGING LEADER
11.5.3 PERVASIVE
11.5.4 PARTICIPANT
FIGURE 56 LIVESTOCK IDENTIFICATION MARKET: COMPANY EVALUATION QUADRANT, 2021
11.6 START-UP/SME EVALUATION MATRIX
11.6.1 COMPETITIVE BENCHMARKING
TABLE 137 MARKET: DETAILED LIST OF KEY START-UP/SME PLAYERS
TABLE 138 MARKET: COMPETITIVE BENCHMARKING OF KEY PLAYERS (START-UP/SME COMPANIES)
11.6.2 PROGRESSIVE COMPANY
11.6.3 RESPONSIVE COMPANY
11.6.4 DYNAMIC COMPANY
11.6.5 STARTING BLOCKS
FIGURE 57 LIVESTOCK IDENTIFICATION MARKET: START-UP/SME EVALUATION MATRIX, 2021
TABLE 139 COMPANY OFFERING FOOTPRINT
TABLE 140 COMPANY SPECIES FOOTPRINT
TABLE 141 COMPANY REGION FOOTPRINT
TABLE 142 COMPANY FOOTPRINT
11.7 COMPETITIVE SCENARIO
11.7.1 PRODUCT LAUNCHES
TABLE 143 PRODUCT LAUNCHES, JANUARY 2019–DECEMBER 2022
11.7.2 DEALS
TABLE 144 DEALS, JANUARY 2019–DECEMBER 2022
11.7.3 OTHERS
TABLE 145 EXPANSION, JANUARY 2019–DECEMBER 2022
12 COMPANY PROFILES (Page No. - 174)
(Business overview, Products/solutions/services offered, Recent developments & MnM View)*
12.1 KEY PLAYERS
12.1.1 ALLFLEX LIVESTOCK INTELLIGENCE (MSD ANIMAL HEALTH)
TABLE 146 ALLFLEX LIVESTOCK INTELLIGENCE: BUSINESS OVERVIEW
12.1.2 DATAMARS
TABLE 147 DATAMARS: BUSINESS OVERVIEW
12.1.3 NEDAP N.V.
TABLE 148 NEDAP N.V.: BUSINESS OVERVIEW
FIGURE 58 NEDAP N.V.: COMPANY SNAPSHOT
12.1.4 MS SCHIPPERS
TABLE 149 MS SCHIPPERS: BUSINESS OVERVIEW
12.1.5 LIVESTOCK IMPROVEMENT CORPORATION
TABLE 150 LIVESTOCK IMPROVEMENT CORPORATION: BUSINESS OVERVIEW
FIGURE 59 LIVESTOCK IMPROVEMENT CORPORATION: COMPANY SNAPSHOT
12.1.6 SHEARWELL DATA LTD.
TABLE 151 SHEARWELL DATA LTD.: BUSINESS OVERVIEW
12.1.7 LEADER PRODUCTS
TABLE 152 LEADER PRODUCTS: BUSINESS OVERVIEW
12.1.8 CAISLEY INTERNATIONAL GMBH
TABLE 153 CAISLEY INTERNATIONAL GMBH: BUSINESS OVERVIEW
12.1.9 KUPSAN TAG COMPANY LTD.
TABLE 154 KUPSAN TAG COMPANY LTD.: BUSINESS OVERVIEW
12.1.10 LUOYANG LAIPSON INFORMATION TECHNOLOGY CO., LTD
TABLE 155 LUOYANG LAIPSON INFORMATION TECHNOLOGY CO., LTD: BUSINESS OVERVIEW
*Details on Business overview, Products/solutions/services offered, Recent developments & MnM View might not be captured in case of unlisted companies.
12.2 OTHER PLAYERS
12.2.1 Y-TEX CORPORATION
12.2.2 MOOVEMENT
12.2.3 OMNIA TECHNOLOGIES
12.2.4 HID GLOBAL CORPORATION
12.2.5 DALTON TAGS
12.2.6 RITCHEY LIVESTOCK ID
12.2.7 OSBORNE INDUSTRIES, INC.
12.2.8 ARDES
12.2.9 NATIONAL BAND & TAG COMPANY
12.2.10 ID TECH SOLUTIONS PRIVATE LIMITED
12.2.11 I.D.OLOGY
12.2.12 THE COBURN COMPANY INC.
12.2.13 MILKRITE INTERPULS S.P.A.
12.2.14 CERESTAG PTY LTD.
12.2.15 HAUPTNER-HERBERHOLZ
13 APPENDIX (Page No. - 216)
13.1 DISCUSSION GUIDE
13.2 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
13.3 AVAILABLE CUSTOMIZATION
13.4 RELATED REPORTS
13.5 AUTHOR DETAILS
The study involved four major activities in estimating the size of the livestock identification market. Exhaustive secondary research has been carried out to collect information on the market, the peer markets, and the parent market. Both top-down and bottom-up approaches have been employed to estimate the total market size. Market breakdown and data triangulation methods have also been used to estimate the market for segments and subsegments.
Secondary Research
In the secondary research process, various sources have been referred to for identifying and collecting information for this study on the livestock identification market. Secondary sources considered for this research study include government sources; corporate filings (such as annual reports, investor presentations, and financial statements); and trade, business, and professional associations. Secondary data has been collected and analyzed to arrive at the overall market size, which has been further validated through primary research.
Secondary research has been mainly used to obtain key information about the supply chain of the livestock identification industry to identify the key players based on their products, as well as to identify the prevailing industry trends in the livestock identification market based on offering, device lifecycle, species, and geography. It also includes information about the key developments undertaken from both market- and technology-oriented perspectives.
Primary Research
Extensive primary research has been conducted after understanding and analyzing the current scenario of the livestock identification market through secondary research. Several primary interviews have been conducted with key opinion leaders from both the demand and supply sides across four major regions: Americas, Europe, APAC, and RoW. Approximately 25% of the primary interviews have been conducted with the demand side, while 75% have been conducted with the supply side. This primary data has been collected mainly through telephonic interviews, which account for 80% of the total primary interviews. Questionnaires and e-mails have also been used to collect data.
After interacting with industry experts, brief sessions were conducted with highly experienced independent consultants to reinforce the findings from our primaries. This, along with the in-house subject matter experts’ opinions, has led us to the findings as described in the remainder of this report. The breakdown of primary respondents is as follows:
To know about the assumptions considered for the study, download the pdf brochure
Market Size Estimation
The bottom-up procedure has been employed to arrive at the overall size of the livestock identification market.
- Identifying various key players offering different livestock identification solutions/services
- Analyzing each livestock identification solution/service offered by major market players
- Estimating the market for livestock identification solutions, by species
- Tracking the ongoing and upcoming installation of livestock identification solutions and adoption of related services by end users and forecasting the market based on these developments and other critical parameters
- Undertaking multiple discussions with key opinion leaders to understand different types of advanced livestock identification hardware and software solutions and associated services, which helped analyze the impact of developments undertaken by each major company to increase their share in the livestock identification market
- Verifying and crosschecking estimates at every level with key opinion leaders, including chief executive officers (CEOs), directors, and operation managers, and then finally with the domain experts of MarketsandMarkets
- Studying various paid and unpaid sources of information such as annual reports, press releases, white papers, and databases for the company- and region-specific developments undertaken in the livestock identification market
To know about the assumptions considered for the study, Request for Free Sample Report
The top-down approach has been used to estimate and validate the total size of the livestock identification market.
- Focusing initially on the high investments and expenditures undertaken in the ecosystem of livestock identification; further splitting into offering, device lifecycle, species, and region and listing key developments in major market areas
- Identifying all major players in the livestock identification market and the deployment of their products for various livestock species and verifying the findings through secondary research and brief discussions with industry experts
- Analyzing revenues, product mix, geographic presence, and key end users of livestock identification solutions to estimate and arrive at the percentage splits
- Discussing these splits with industry experts to validate the information and identify key growth pockets across all major segments
- Breaking down the total market based on verified splits and key growth pockets across all segments
Data Triangulation
After arriving at the overall size of the livestock identification market through the process explained above, the total market has been split into several segments and subsegments. Market breakdown and data triangulation procedures have been employed, wherever applicable, to complete the overall market engineering process and arrive at the exact statistics for all segments and subsegments. The data has been triangulated by studying various factors and trends from the demand and supply sides. The market has also been validated using the top-down and bottom-up approaches.
Report Objectives
- To describe, segment, and forecast the livestock identification market based on offering, device lifecycle, and species, in terms of value
- To describe and forecast the market size for RFID tags, in terms of value and volume
- To describe and forecast the market size of the tissue sampling system, in terms of value, for 2021 and 2030
- To describe and forecast the market for four key regions, namely, the Americas, Europe, Asia Pacific, and Rest of the World (RoW), in terms of value
- To describe technologies utilized in livestock identification solutions
- To provide detailed information regarding the drivers, restraints, opportunities, and challenges influencing the growth of the livestock identification market
- To provide a detailed overview of the supply chain pertaining to the livestock identification ecosystem, along with the average selling prices of different types of livestock identification hardware offerings
- To strategically analyze the ecosystem, Porter's five forces, technology analysis, tariffs and regulations, patent landscape, trade landscape, key conferences and events, and case studies pertaining to the market under study
- To describe the detailed impact of the COVID-19 pandemic on the market in each region
- To strategically analyze micromarkets1 with regard to individual growth trends, prospects, and contributions to the overall market
- To analyze opportunities in the market for stakeholders and provide a competitive landscape of the market
- To analyze competitive developments such as product launches, collaborations, partnerships, contracts, agreements, expansions, and acquisitions in the livestock identification market
- To strategically profile the key players in the livestock identification market and comprehensively analyze their market ranking and core competencies2
Available Customizations:
With the given market data, MarketsandMarkets offers customizations according to a company’s specific needs. The following customization options are available for the report:
- Detailed analysis and profiling of additional market players based on various blocks of the supply chain
Growth opportunities and latent adjacency in Livestock Identification Market