Press release
Dairy Herd Management Market Expected to Deliver Dynamic Progression until 2022 | Global Key Players - Valley Agriculture Software, Dairy Master, Afimilk, Sum-It Computer Systems, SCR Dairy, GEA Group
Dairy Herd Management Market
Global Dairy Herd Management Market Overview:
According to Market Analyst, Global Dairy Herd Management Market is projected to grow at a healthy growth rate from 2018 to 2022.
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Dairy herd management systems have been replacing the application of traditional and manual herd management techniques owing to cost benefits associated with it. This shift in demand towards automated herd management systems is expected to drive the market. Increasing annual milk production across the globe is further expected to boost the market demand over the forecast period. Increasing population in countries including India and China is further expected to boost milk products demand, which in turn is expected to augment herd management market over the forecast period.
Dairy Herd Management Market is segmented based on Product Type, End user and by region. On the basis of Product Type, the global Dairy Herd Management market is segmented as automated systems and standalone software. The automated systems segment includes cattle management systems, feeding management systems, reproductive health management systems, milk management systems, and herd health management systems. The standalone software segment includes on-premise and web-based/cloud-based software. The milk management systems segment is estimated to account for the largest share of the automated dairy management systems market. In the global standalone software market, the on-premise software segment is expected to account for the largest share of the market
In term of End User, Dairy Herd Management Market further segmented into small-scale dairy farms, large-scale dairy farms, and cooperative dairy farms. Small-scale dairy farms are the largest end users of dairy herd management products.
Regionally, Europe held the leading share in the global market for dairy herd management, owing to the increasing popularity of the system in this region. The developing countries in Latin America, the Middle East and Africa, and Asia Pacific are slated to exhibit rapid growth over the next few years, due to rising awareness about dairy herd management.
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The Market is segmented and projected on the basis of major key player’s:
1 Valley Agriculture Software (U.S.)
2 Dairy Master (Ireland)
3 Afimilk (Israel)
4 Sum-It Computer Systems (U.K.)
5 SCR Dairy (Israel)
6 GEA Group (Germany)
7 DeLaval (Sweden)
8 BouMatic (U.S.)
9 Lely Holdings (Netherlands)
10 Infovet (India)
The Market is segmented and projected on the basis of major Region Segmentation
1 North America Country (United States, Canada)
2 South America
3 Asia Country (China, Japan, India, Korea)
4 Europe Country (Germany, UK, France, Italy)
5 Other Country (Middle East, Africa, GCC)
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Key Questions Answered in this Report:
1 How has the Dairy Herd Management market performed so far and how will it perform in the coming years?
2 What will the market size be in 2022?
3 What are the key factors driving the Dairy Herd Management Market?
4 What are the challenges to market growth?
5 What is the structure of the Dairy Herd Management industry and who are the key players?
6 What are the market opportunities and threats faced by the key players?
7 What are the profit margins in the Dairy Herd Management industry?
TABLE OF CONTENTS
1 Dairy Herd Management Definition
2 Global Dairy Herd Management Market Major Player Share and Market Overview
3 Major Player Dairy Herd Management Business Introduction
4 Global Dairy Herd Management Market Segmentation (Region Level)
5 Global Dairy Herd Management Market Segmentation (Type Level)
6 Global Dairy Herd Management Market Segmentation (Industry Level)
7 Global Dairy Herd Management Market Segmentation (Channel Level)
8 Dairy Herd Management Market Forecast 2018-2022
9 Dairy Herd Management Segmentation Type
10 Dairy Herd Management Segmentation Industry
11 Dairy Herd Management Cost Analysis
12 Conclusion
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