Facial Recognition For Cows Market Size & Analysis - Forecasts To 2025 By Product (Feed Management, Milk Harvesting, Breeding Management, Animal Comfort Management, Behavior Monitoring & Management, Others), By Region (North America, Europe, Asia Pacific, Central & South America, Middle East & Africa), Market Share Analysis, End-Use Landscape, Vendor Landscape, & Competitive Landscape - Global Market Estimates
Facial Recognition For Cows: Market Insights
The facial recognition for cows market is projected to grow at a high CAGR over the coming years on account of increasing attention given to monitoring animal health and feed. Rapidly increasing population and food security concerns are expected to boost demand for facial recognition for cows. Technological advancements in the livestock production and animal farming industry is projected to increase the use of facial recognition in feed management, milk harvesting, breeding, comfort and behavior management
Facial Recognition For Cows Market: Product Insights
On the basis of product, the facial recognition for cows market is segmented into feed management, milk harvesting, breeding management, animal comfort management, behavior monitoring & management, and others. Feed management is an important aspect of animal farming as it helps deliver a balanced diet and avoids overfeeding. Facial recognition technology maps a cow's unique features, patterns, and movements in order to provide water & feed intake analysis, health monitoring, and track behavioral patterns.
Facial Recognition For Cows Market: Regional Insights
The demand for facial recognition for cows is expected to occupy a large share in the North American and European market. Rapid improvements made in animal husbandry and stringent regulations implemented on monitoring animal health & well-being is anticipated to propel demand for facial recognition for cows over the coming years.
The Asia Pacific is expected to occupy a large share in the livestock production market. Efficient production and reproduction are critical in developing a profitable dairy farming and livestock production market. The prevalence of different infectious diseases adversely impacts the breeding cost. Therefore, investing in suitable technology is expected to increase the productivity of livestock production. The increasing demand for packaged and frozen food & beverages across the world is expected to positively impact market demand over the forecast period.
Facial Recognition For Cows Market: Vendor Landscape
The report contains a chapter dedicated to vendors operating in the market, covering raw material manufactures, equipment developers, manufacturers, and distributors. The report provides these insights on a regional level. This section of the report entails contact details, experience, products manufactured/supplied, and geographical presence of companies.
Facial Recognition For Cows Market: End-Use Landscape
The report provides a detailed list of end-users operating across the world. The end-user landscape includes consumer contact details, geographical presence, revenue, product portfolio, organic and inorganic growth strategies among others. Some of the companies who are likely to use facial recognition for cows include Mudanjiang City Mega Farm, Modern Dairy, and Anna Creek among others.
Facial Recognition For Cows Market Share & Competitor Analysis
Some of the prominent companies engaged in facial recognition for cows market include Deere & Company, Cainthus, Trimble, Inc., Agjunction, Inc., Raven Industries, Inc., Iteris, Inc., AG Leader Technology, Dickey-John Corporation, SST Development Group, Inc., and Grownetics among others.
Please note: This is not an exhaustive list of companies profiled in the report.
In January 2018, Cargill has reported investing extensively in Cainthus, a Dublin-based machine vision company. The company uses facial recognition technology to garner predictive imaging to monitor the health and well-being of livestock.
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The Global Facial Recognition For Cows Market has been studied from the year 2016 till 2025. However, the CAGR provided in the report is from the year 2017 to 2025. The research methodology involved three stages: Desk research, Primary research, and Analysis & Output from the entire research process.
The desk research involved a robust background study which meant referring to paid and unpaid databases to understand the market dynamics; mapping contracts from press releases; identifying the key players in the market, studying their product portfolio, competition level, annual reports/SEC filings & investor presentations; and learning the demand and supply side analysis for the Facial Recognition For Cows Market .
The primary research activity included telephonic conversations with more than 50 tier 1 industry consultants, distributors, and end-use product manufacturers.
Finally, based on the above thorough research process, an in-depth analysis was carried out considering the following aspects: market attractiveness, current & future market trends, market share analysis, SWOT analysis of the companies and customer analytics.
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