Connected Cow and Farm Market Report 2020-2025
発行: Arcluster Pte. Ltd.
ページ情報: 英文 92 Pages | 26 Tables | 22 Charts | 28 Companies
Arcluster' ‘2020 Connected Farm Market Report ’covers the market sizes and forecasts of
The connected farm market report provides an in-depth analysis of the market size, forecasts and opportunities of the various systems and services that cater to the connected farm ecosystem. The study includes market analysis of seven categories of systems - Health Monitoring, Mating Management, Herd Management, Automated Milking, Comfort and Cleaning, Automated Feeding, and others. The study also covers the analysis of the market for services for the connected farm environment. Further to this, the report also provides the market data for systems across five regions - North America, Europe, Asia-Pacific, Central America and Latin America (CALA), and Middle-East and Africa (MEA).
Arcluster's connected farm market report also includes insights into key market requirements gathered from users, buyers, farmers, farm owners, and consultants. The report also provides their preferences, priorities and perception of the application of connected systems in this ecosystem. The study also covers key demand side ratings such as user ratings across regions for farm systems, services, dashboard features, and deployment timeframes.
The analysis in this report will help market participants, vendors, suppliers, system integrators, channel players, manufacturers, and value added resellers (VARs) to develop strategies, marketing goals and business decisions based on the actionable market intelligence from this report.
This report has been built on a rigorous period of information gathering from both secondary and primary sources through several interviews with industry participants, manufacturers, suppliers, vendors, farm owners, business owners consultants, organizations, and regulators. Data gathered from these interviews and surveys was curated, analyzed, and engineered to understand buying, spending, demand and supply patterns and to estimate market sizes and forecasts. The resultant data was checked for applicability across the insect, food and farm management value chains through market-data associations and then further validated through multiple check points to check consistencies, error samples, variances.