GLOBAL LIVESTOCK IDENTIFICATION MARKET RESEARCH REPORT, 2023-2029
Market Value:
• 2021 = USD 1.92 billion
• 2028 = USD 4.11 billion
• CAGR = 11.48%
• Date Published: April 2023
Publisher: Introspective Market Research
Annual Market Size and Forecast
Technological Roadmap & Regulatory Landscape
Analysis on type and applications
Industry Value Chain Analysis
Analysis on Major Trends
Key strategies by Top Market Players
Market Share Analysis 2021
The Global Livestock Identification market was valued at USD 1.92 billion in 2021 and is expected to reach USD 4.11 billion by the year 2028, at a CAGR of 11.48%.
Livestock identification is the basis for keeping proper production records of the herd/flock. Individual livestock identification enables producers to maintain records on an animal's birth date, health history, parentage, production records, and a host of other important management information. Additionally, authentic records offer the producer sufficient information to make individual or whole herd/flock management decisions. In many instances, the producer requirement to be able to rapidly identify an animal. A successful identification system makes this task more systematic. Identification is also important to identify ownership of a certain animal or to indicate the herd/flock of origin. The requirement for the identification of stock has developed. In many situations, confirming ownership is no longer the central need.
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The latest report on the Livestock Identification market provides a detailed analysis of the market for the years 2023 to 2029. It presents a comprehensive overview of the global Livestock Identification industry, incorporating all key industry trends, market dynamics, competitive landscape, and market analysis tools such as Porter's five forces analysis, Industry Value chain analysis, and PESTEL analysis of the Livestock Identification market. Moreover, the research covers crucial chapters such as Patent Analysis, Regulatory Framework, Technology Roadmap, BCG Matrix, Heat Map Analysis, Price Trend Analysis, and Investment Analysis which help to grasp the market direction and development in the present and forthcoming years. The report is meant to assist clients to obtain information and making decisions that will help them build their businesses. The study is produced with a specific aim in mind: to deliver business insights and consultation to help customers make wise business decisions and achieve long-term success in their particular market segments. The Report Will Include A Major Chapter
• Patent Analysis
• Regulatory Framework
• Technology Roadmap
• BCG Matrix
• Heat Map Analysis
• Price Trend Analysis
• Investment Analysis
• Company Profiling and Competitive Positioning
• Industry Value Chain Analysis
• Market Dynamics and Factors
• Porter’s Five Forces Analysis
• Pestle Analysis
• SWOT Analysis
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Key Prominent Players In The Livestock Identification Market:
• CAISLEY International (Germany)
• Kupsan Tag Company (Turkey)
• Afimilk (Israel)
• Livestock Improvement Corporation (New Zealand)
• Allflex (Part of Merck) (US)
• Zoetis (US)
• Leader Products (Australia)
• Nedap (Netherlands)
• Cainthus (Ireland)
• Connecterra (Netherlands)
• DeLaval (Sweden)
• Moocall (Ireland)
• Cowlar (US)
• Datamars (Switzerland)
• Others major Players.
Segmentation of The Livestock Identification Market
The report will help the Livestock Identification manufacturers, new entrants, and industry chain related companies in this market with information on the revenues, production, and average price for the overall market and the sub-segments across the different segments, product type By Component Type, Animal Type, application, and regions.
By Component Type
• Hardware
• Software
• Services
By Animal Type
• Cattle
• Poultry
• Swine
• Equine
• Others
By Application
• Milk Harvesting
• Breeding Management
• Feeding Management
• Animal Health Monitoring & Comfort
• Heat Stress
• Behavior Monitoring
• Others
By Region• North America (U.S., Canada, Mexico)
• Europe (Germany, U.K., France, Italy, Russia, Spain, Rest of Europe)
• Asia-Pacific (China, India, Japan, Singapore, Australia, New Zealand, Rest of APAC)
• Middle East & Africa (Turkey, Saudi Arabia, Iran, UAE, Africa, Rest of MEA)
• South America (Brazil, Argentina, Rest of SA)
This section of the report provides key insights regarding various regions and the key players operating in each region. Economic, social, environmental, technological, and political factors have been taken into consideration while assessing the growth of the particular region/country. The readers will also get their hands on the revenue and sales data of each region and country for the period 2023-2029.
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Introspective Market Research (IMR), in one of its latest reports states the global diabetes drugs market to be fragmented and intensely competitive due to the presence of several key vendors. With the expansion of product portfolio of existing companies and entry of new players, the competition in the market is likely to intensify in the future. Geographical expansion by means of mergers and acquisitions and strategic alliances continue to remain another key growth strategy for players in the market.
Effective Points Covered in Livestock Identification Market Report: -
1) Details Competitor analysis with accurate, up-to-date demand-side dynamics information.
2) Standard performance against major competitors.
3) Identify the growth segment of your investment.
4) Understanding most recent innovative development and supply chain pattern.
5) Establish regional / national strategy based on statistics.
6) Develop strategies based on future development possibilities.
Table of Content:
Chapter 1: Introduction
1.1 Research Objectives
1.2 Research Methodology
1.3 Research Process
1.4 Scope and Coverage
1.4.1 Market Definition
1.4.2 Key Questions Answered
1.5 Market Segmentation
Chapter 2:Executive Summary
Chapter 3:Growth Opportunities By Segment
3.1 By Component Type
3.2 By Animal Type
3.3 By Application
Chapter 4: Market Landscape
4.1 Porter's Five Forces Analysis
4.1.1 Bargaining Power of Supplier
4.1.2 Threat of New Entrants
4.1.3 Threat of Substitutes
4.1.4 Competitive Rivalry
4.1.5 Bargaining Power Among Buyers
4.2 Industry Value Chain Analysis
4.3 Market Dynamics
4.3.1 Drivers
4.3.2 Restraints
4.3.3 Opportunities
4.5.4 Challenges
4.4 Pestle Analysis
4.5 Technological Roadmap
4.6 Regulatory Landscape
4.7 SWOT Analysis
4.8 Price Trend Analysis
4.9 Patent Analysis
4.10 Analysis of the Impact of Covid-19
4.10.1 Impact on the Overall Market
4.10.2 Impact on the Supply Chain
4.10.3 Impact on the Key Manufacturers
4.10.4 Impact on the Pricing
Chapter 5: Livestock Identification Market by Component Type
5.1 Livestock Identification Market Overview Snapshot and Growth Engine
5.2 Livestock Identification Market Overview
5.3 Hardware
5.3.1 Introduction and Market Overview
5.3.2 Historic and Forecasted Market Size (2016-2028F)
5.3.3 Key Market Trends, Growth Factors and Opportunities
5.3.4 Hardware: Geographic Segmentation
Chapter 6: Livestock Identification Market by Animal Type
Chapter 7: Livestock Identification Market by Application
Chapter 8: Company Profiles and Competitive Analysis
Chapter 9: Global Livestock Identification Market Analysis, Insights and Forecast, 20162028
Chapter 10: North America Livestock Identification Market Analysis, Insights and Forecast, 2016-2028
Continue.
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Terms of Use:
This research study involved the extensive usage of both primary and secondary data sources. The research process involved the study of various factors affecting the industry, including the government policy, market environment, competitive landscape, historical data, present trends in the market, technological innovation, upcoming technologies and the technical progress in related industry, and market risks, opportunities, market barriers and challenges. The following illustrative figure shows the market research methodology applied in this report.
Top-down and bottom-up approaches are used to validate the global market size market and estimate the market size for Company, regions segments, product segments and Application (end users).
