Livestock Monitoring Market Size, Share, Growth and Global Industry Analysis By Type & Application, Regional Insights and Forecast to 2024-2032
Growth Factors of Livestock Monitoring and Identification Market
The livestock monitoring and identification market size was valued at USD 1545.0 million in 2019, and the market is now projected to grow USD 3690.4 million in 2027 exhibiting a CAGR of 11.6% during the forecast period of 2020-2027.
Pandemic affected the livelihood of the livestock industry by having a negative though temporary effect. This caused a lowered demand for animal products especially meats and dairy products, as there were supply chain disruptions all-round the globe. The situation was made worse by a decline in the number of investments being made to animal monitoring solutions. Several countries’ hotel and catering closures had an impact on the reduction of meat and dairy intake which negatively impacted the market. This inflicted the problem of how industries could recover and again begin to grow during the pandemic.
Several of the trends point to the fact that demands for meats and livestock products will greatly increase with growth in population and incomes, which implies that there will be need for meat to be produced sustainably. Urbanization and climate change are some of the factors that contribute to increase the chances of being infected with diseases in cattle because of changing pathogen. Heat stress, floods and freakish droughts also add to the vectors of vector borne illness and macro parasites. The livestock industry must meet these challenges to meet the population’s needs for food. Quality, sustainability, and disease control show proportionality which will help in future preparedness.
IoT technology is transforming how the livestock business is run while at the same time satisfying the food needs of the people. The technological applications of IoT improve the monitoring and the application of analytical and control tools to undertake operations that reduce the cases of loss. Animal health can be easily monitored at a particular period it can be as a result early detection of disease hence control. This makes production to be high and at the same time reducing risks of production in livestock farming. IoT is critical for sustainable and efficient stock farming as a way of managing the increasing number of livestock.
Comprehensive Analysis of Livestock Monitoring and Identification Market
The livestock monitoring and identification market growth is rising at an exponential rate due to its market segmentation. This market expansion rightly provides a thorough market breakdown near to the industry considering the leading supply and demand forces. These segmentations are methodically segregated by component analysis and by end-use analysis. By component analysis includes hardware, software, and services. By end-use analysis includes dairy farm, beef farm, sheep farm, deer farm, and goat and pig farm.
The North America region lead the livestock monitoring and identification market share by benefitting a market size of USD 527.7 million in 2019 due to its high technological developments.
The top players in the markets have a central responsibility in the information & communication technology industry to be sure of industrial prospectus development and to establish the market norms. These players include, HerdX, Inc., Afimilk Agricultural Cooperative Ltd., infsoft GmbH, Zee Tags Ltd. (Datamars), Quantified AG, Allflex (SCR Engineers Ltd.), BouMatic, Connecterra B.V., ID Tech Solutions Private Limited, Shearwell Australia, Y-Tex Corporation, Dairymaster, GEA Group, DeLaval Inc., CowManager B.V., Valley Agricultural Software, Inc., Cainthus, Lely International N.V. these market players provide a level-playing competitive landscape.
In November 2019, DeLaval launched the VMS V310, an automated milking solution that detects cow heat and pregnancy during milking.
Segmentation Table
ATTRIBUTE DETAILS
Study Period 2016-2027
Base Year 2019
Forecast Period 2020-2027
Historical Period 2018
Unit Value (USD million)
Segmentation Component; End-use; and Geography
By Component
Hardware
RFID Tags
Injectable Tags
Software
Services
By End-use
Dairy Farm
Beef Farm
Sheep Farm
Deer Farm
Goat and Pig Farm
By Geography
North America (By Component; End-use; and Country)
United States (By End-use)
Canada (By End-use)
Europe (By Component; End-use; and Country)
Germany (By End-use)
United Kingdom (By End-use)
France (By End-use)
Italy (By End-use)
Spain (By End-use)
Netherlands (By End-use)
Poland (By End-use)
Rest of Europe
Asia Pacific (By Component; End-use; and Country)
India (By End-use)
China (By End-use)
Australia (By End-use)
New Zealand (By End-use)
South Korea (By End-use)
Rest of APAC
The Middle East & Africa (By Component; End-use; and Country)
South Africa (By End-use)
Turkey (By End-use)
Rest of MEA
Latin America (By Component; End-use; and Country)
Argentina (By End-use)
Rest of LATAM
- 1. Introduction
- 1.1. Definition, By Segment
- 1.2. Research Methodology/Approach
- 1.3. Data Sources
- 2. Key Takeaways
- 3. Market Dynamics
- 3.1. Macro and Micro Economic Indicators
- 3.2. Drivers, Restraints, Opportunities and Trends
- 3.3. Impact of COVID-19
- 3.3.1. Short-term Impact
- 3.3.2. Long-term Impact
- 4. Competition Landscape
- 4.1. Business Strategies Adopted by Key Players
- 4.2. Consolidated SWOT Analysis of Key Players
- 4.3. Porter’s Five Force Analysis
- 5. Global Livestock Monitoring and Identification Key Players Market Share Insights and Analysis, 2019
- 6. Key Market Insights and Strategic Recommendations
- 7. Primary Interviewee’s Key Responses
- 8. Companies Profiled (Covered for key 10 players only)
- 8.1. Overview
- 8.1.1. Key Management
- 8.1.2. Headquarters etc.
- 8.2. Offerings/Business Segments
- 8.3. Key Details (Key details are subjected to data availability in public domain and/or on paid databases)
- 8.3.1. Employee Size
- 8.3.2. Key Financials
- 8.3.2.1. Past and Current Revenue
- 8.3.2.2. Gross Margin
- 8.3.2.3. Geographical Share
- 8.3.2.4. Business Segment Share
- 8.4. Recent Developments
- 9. Annexure / Appendix
- 9.1. Global Livestock Monitoring and Identification Market Size Estimates and Forecasts (Quantitative Data), By Segments, 2016-2027
- 9.1.1. By Component (Value)
- 9.1.1.1. Hardware
- 9.1.1.2. Software
- 9.1.1.3. Services
- 9.1.2. By End-use (Value)
- 9.1.2.1. Dairy Farm
- 9.1.2.2. Beef Farm
- 9.1.2.3. Sheep Farm
- 9.1.2.4. Deer Farm
- 9.1.2.5. Goat and Pig Farm
- 9.1.3. By Region (Value)
- 9.1.3.1. North America
- 9.1.3.2. Europe
- 9.1.3.3. Asia-Pacific
- 9.1.3.4. Middle East & Africa
- 9.1.3.5. Latin America
- 9.2. North America Livestock Monitoring and Identification Market Size Estimates and Forecasts (Quantitative Data), By Segments, 2016-2027
- 9.2.1. By Component (Value)
- 9.2.1.1. Hardware
- 9.2.1.2. Software
- 9.2.1.3. Services
- 9.2.2. By End-use (Value)
- 9.2.2.1. Dairy Farm
- 9.2.2.2. Beef Farm
- 9.2.2.3. Sheep Farm
- 9.2.2.4. Deer Farm
- 9.2.2.5. Goat and Pig Farm
- 9.2.3. By Country (Value)
- 9.2.3.1. United States
- 9.2.3.1.1. By End-use
- 9.2.3.2. Canada
- 9.2.3.2.1. By End-use
- 9.2.3.3. Mexico
- 9.2.3.3.1. By End-use
- 9.3. Europe Livestock Monitoring and Identification Market Size Estimates and Forecasts (Quantitative Data), By Segments, 2016-2027
- 9.3.1. By Component (Value)
- 9.3.1.1. Hardware
- 9.3.1.2. Software
- 9.3.1.3. Services
- 9.3.2. By End-use (Value)
- 9.3.2.1. Dairy Farm
- 9.3.2.2. Beef Farm
- 9.3.2.3. Sheep Farm
- 9.3.2.4. Deer Farm
- 9.3.2.5. Goat and Pig Farm
- 9.3.3. By Country (Value)
- 9.3.3.1. United Kingdom
- 9.3.3.1.1. By End-use
- 9.3.3.2. Germany
- 9.3.3.2.1. By End-use
- 9.3.3.3. France
- 9.3.3.3.1. By End-use
- 9.3.3.4. Italy
- 9.3.3.4.1. By End-use
- 9.3.3.5. Spain
- 9.3.3.5.1. By End-use
- 9.3.3.6. Netherlands
- 9.3.3.6.1. By End-use
- 9.3.3.7. Poland
- 9.3.3.7.1. By End-use
- 9.3.3.8. Rest of Europe
- 9.4. Asia Pacific Livestock Monitoring and Identification Market Size Estimates and Forecasts (Quantitative Data), By Segments, 2016-2027
- 9.4.1. By Component (Value)
- 9.4.1.1. Hardware
- 9.4.1.2. Software
- 9.4.1.3. Services
- 9.4.2. By End-use (Value)
- 9.4.2.1. Dairy Farm
- 9.4.2.2. Beef Farm
- 9.4.2.3. Sheep Farm
- 9.4.2.4. Deer Farm
- 9.4.2.5. Goat and Pig Farm
- 9.4.3. By Country (Value)
- 9.4.3.1. China
- 9.4.3.1.1. By End-use
- 9.4.3.2. India
- 9.4.3.2.1. By End-use
- 9.4.3.3. Australia
- 9.4.3.3.1. By End-use
- 9.4.3.4. South Korea
- 9.4.3.4.1. By End-use
- 9.4.3.5. New Zealand
- 9.4.3.5.1. By End-use
- 9.4.3.6. Rest of Asia Pacific
- 9.5. Middle East & Africa Livestock Monitoring and Identification Market Size Estimates and Forecasts (Quantitative Data), By Segments, 2016-2027
- 9.5.1. By Component (Value)
- 9.5.1.1. Hardware
- 9.5.1.2. Software
- 9.5.1.3. Services
- 9.5.2. By End-use (Value)
- 9.5.2.1. Dairy Farm
- 9.5.2.2. Beef Farm
- 9.5.2.3. Sheep Farm
- 9.5.2.4. Deer Farm
- 9.5.2.5. Goat and Pig Farm
- 9.5.3. By Country (Value)
- 9.5.3.1. South Africa
- 9.5.3.1.1. By End-use
- 9.5.3.2. Turkey
- 9.5.3.2.1. By End-use
- 9.5.3.3. Rest of MEA
- 9.6. Latin America Livestock Monitoring and Identification Market Size Estimates and Forecasts (Quantitative Data), By Segments, 2016-2027
- 9.6.1. By Component (Value)
- 9.6.1.1. Hardware
- 9.6.1.2. Software
- 9.6.1.3. Services
- 9.6.2. By End-use (Value)
- 9.6.2.1. Dairy Farm
- 9.6.2.2. Beef Farm
- 9.6.2.3. Sheep Farm
- 9.6.2.4. Deer Farm
- 9.6.2.5. Goat and Pig Farm
- 9.6.3. By Country (Value)
- 9.6.3.1. Argentina
- 9.6.3.1.1. By End-use
- 9.6.3.2. Rest of LATAM
- 10. Companies Analyzed (In order to estimate the market size and/or understanding the market ecosystem) (Note that the purpose of the below list is to highlight the exhaustiveness of coverage. This does not necessarily mean that all the below companies are profiled in the scope. Kindly refer Companies Profiled Section for more details. However, at the same, we are open to profile additional company(s) on specific request)
- 10.1. HerdX, Inc.
- 10.2. Afimilk Agricultural Cooperative Ltd.
- 10.3. infsoft GmbH
- 10.4. Zee Tags Ltd. (Datamars)
- 10.5. Quantified AG
- 10.6. Allflex (SCR Engineers Ltd.)
- 10.7. BouMatic
- 10.8. Connecterra B.V.
- 10.9. ID Tech Solutions Private Limited
- 10.10. Shearwell Australia
- 10.11. Y-Tex Corporation
- 10.12. Dairymaster
- 10.13. GEA Group
- 10.14. DeLaval Inc.
- 10.15. CowManager B.V.
- 10.16. Valley Agricultural Software, Inc.
- 10.17. Cainthus
- 10.18. Lely International N.V.
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