
The study, titled "Global Animal Identification Systems Market in 2018-2028," offers a comprehensive analysis of the market in question. The research breaks down the market into its component parts and provides insight into the trends and drivers currently shaping it. The impact of these elements in the market is defined through the drivers, restraints, opportunities, and challenges that make up the market dynamics. The market's inherent aspects include drivers and restraints, while its extrinsic factors include opportunities and challenges. The research report titled "Global Animal Identification Systems Market" forecasts the market's revenue growth from 2018 to 2025.
The expansion of the global market for animal identification is expected to be bolstered by new developments in animal identity management and improved support services. The rapid adoption of Internet of Things (IoT) and artificial intelligence (AI)-powered devices for efficient management of domesticated animals, increased interest for robotization in animal cultivating, and expanded focus of ranchers on constant identifying proof and checking of animals are the critical driving variables for the domestic animals' ID market. Offering, device lifecycle, species, and geographies are the primary pillars on which the worldwide animal identification market rests. Market participants classify their wares into three broad categories: services, software, and hardware. The market is segmented into long-term and short-term segments based on the expected lifespan of the corresponding devices. The global livestock industry is segmented by species into pigs, chickens, cattle, and others.
Many people who rely on animal identification methods were adversely affected during the outbreak. The outbreak caused the closing of many factories. Concerns about the steady increase in cases and the arrival of the third and fourth waves of the pandemic led many factories to operate at reduced levels relative to usual situations and to continue confronting additional constraints. Low labour availability in the agricultural sector can be traced back to the widespread closure of factories and the quarantining of consumers as a result of the epidemic. Manufacturers of major animal identification solutions in the United States, the United Kingdom, China, Brazil, India, and France have all seen severe disruptions to their supply chains as a result of the pandemic. Prior to the COVID-19 pandemic, makers of animal identification solutions anticipated a return to normalcy in inventory levels by 2020. This optimism was driven by an increase in both public knowledge of the benefits of animal identification solutions and the global animal population. Since the viral outbreak, however, there has been a dramatic drop in demand for methods of animal identification. But from Q1 2021, there was a surge in international interest in methods of accurately identifying animals.
Maintaining food safety and quality, rising awareness of animal physical and mental fitness, rising adoption of IoT, and rising demand for animal monitoring and technological advancements are all factors driving the expansion of the animal identification systems market. One of the factors driving the market is the increasing popularity of solutions that enable animal monitoring in order to boost output, which in turn affects international trade. An increase in the number of pets in households has led to an increase in the amount spent on their care. The market is expected to develop over the next few years since many nations now mandate the traceability of live domestic animals and products of animal origin.
Market participants in animal identification are concentrating on survival and expanding their financial footing. This has resulted in fewer occurrences in the animal identification industry in 2020, including fewer product shipments and less widespread distribution. As the disease has progressed, many scheduled shipments and associated upgrades have been delayed. However, it is anticipated that COVID-19 would lose its intensity within the forecasted time range. Markets can see a gradual recovery beginning at the end of 2021, as governments worldwide have encouraged tightening restrictions and financial activities have continued in many parts of the world.
Identification of livestock is a crucial part of any animal agricultural operation. In the past, farmers had to physically fence in their cattle and use manual methods of identifying and tracking individual animals. However, modern tools have made it easy and systematic to keep track of individual farm animals in real time. Biometric sensors, which can be either non-invasive or intrusive, help farmers monitor the well-being of their animals and track their movements and behaviour in real time, providing valuable information for population studies. Big data analytics solutions use statistical algorithms to sift through massive, unstructured data sets, revealing useful patterns and insights for farmers to use in making informed decisions. The ability to collect data in real time has the potential to greatly improve agricultural productivity and decision making. The information can be utilised to streamline farming operations and aids in keeping supply chain operations open and honest. In order to better detect disease outbreaks and forestall the resulting economic losses, sensor-enabled blockchain technology provides secure and guaranteed traceability of animal products from farm to table. The expensive price of electronic identification equipment like RFID tags and readers is a major barrier to entry for small farmers or farmers with limited resources who need to use animal identification systems. In order to improve animal identification and administration in less time, livestock identification solutions incorporate expensive technology like RFID, IoT modules, AI, and the cloud.
Report Coverage
Global Animal Identification research report categorizes the market for global based on various segments and regions, forecasts revenue growth, and analyzes trends in each submarket. Global Animal Identification report analyses the key growth drivers, opportunities, and challenges influencing the global market. Recent market developments and Animal Identification competitive strategies such as expansion, product launch and development, partnership, merger, and acquisition have been included to draw the competitive landscape in the market. The report strategically identifies and profiles the key Animal Identification market players and analyses their core competencies in each global market sub-segments.
REPORT ATTRIBUTES | DETAILS |
---|---|
Study Period | 2017-2030 |
Base Year | 2022 |
Forecast Period | 2022-2030 |
Historical Period | 2017-2021 |
Unit | Value (USD Billion) |
Key Companies Profiled | 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 animal identification market. |
Segments Covered | • By Product |
Customization Scope | Free report customization (equivalent to up to 3 analyst working days) with purchase. Addition or alteration to country, regional & segment scope |
Key Points Covered in the Report
- Market Revenue of Animal Identification Market from 2021 to 2030.
- Market Forecast for Animal Identification Market from 2021 to 2030.
- Regional Market Share and Revenue from 2021 to 2030.
- Country Market share within region from 2021 to 2030.
- Key Type and Application Revenue and forecast.
- Company Market Share Analysis, Animal Identification competitive scenario, ranking, and detailed company
profiles. - Market driver, restraints, and detailed COVID-19 impact on Animal Identification
Market
Competitive Environment:
The research provides an accurate study of the major organisations and companies operating in the global Animal Identification market, along with a comparative evaluation based on their product portfolios, corporate summaries, geographic reach, business plans, Animal Identification market shares in specific segments, and SWOT analyses. A detailed analysis of the firms' recent news and developments, such as product development, inventions, joint ventures, partnerships, mergers and acquisitions, strategic alliances, and other activities, is also included in the study. This makes it possible to assess the level of market competition as a whole.
List of Major Market Participants
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 animal identification market.
Primary Target Market
- Market Players of Animal Identification
- Investors
- End-users
- Government Authorities
- Consulting And Research Firm
- Venture capitalists
- Third-party knowledge providers
- Value-Added Resellers (VARs)
Market Segment:
This study forecasts global, regional, and country revenue from 2019 to 2030. INFINITIVE DATA EXPERT has segmented the global Animal Identification market based on the below-mentioned segments:
Global Animal Identification Market, By Animal Type
Companion Animals
Livestock Animals
Other Animals
Global Animal Identification market, By Application
Hardware
Software
Services
Global Animal Identification Market, By Procedure
Wearables
Microchipping
Ear Notching
Tattooing
Other Methods
Global Animal Identification market, Regional Analysis
- Europe: Germany, Uk, France, Italy, Spain, Russia, Rest of Europe
- The Asia Pacific: China,Japan,India,South Korea,Australia,Rest of Asia Pacific
- South America: Brazil, Argentina, Rest of South America
- Middle East & Africa: UAE, Saudi Arabia, Qatar, South Africa, Rest of Middle East & Africa
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