Farmers often face challenges and issues such as poor infrastructure, low connectivity, unmet demands for animal proteins, and rapidly spreading disease amongst livestock. AI Technology is disrupting all industries in the modern age and livestock management is no exception. Since the past few years, the entire dairy and livestock industry has drastically changed due to the augmentation of disruptive digital transformation, which has made traditional procedures simpler and has helped farmers make data-driven decisions. With the launch of AI technologies in livestock farming, many farmers were able to accelerate their livestock production, overall revenue, enhance livestock health and carefully monitor budding diseases that could likely be a threat to the animals.
Market Insights
QY Research has lately published a report titled “Global Artificial Intelligence in Livestock Farming Market Report, History and Forecast 2016-2027, Breakdown Data by Companies, Key Regions, Types and Application”, with the help of industry-leading research methods, along with observing subtle details and understanding the overall dynamics.
The insights included in this report have been prepared in view of varied aspects that affect the growth. The report elucidates key drivers, trends, prospects, restraining factors, and challenges that players may across in the coming years. With the assistance of this research, players can recognize and capitalize on profitable opportunities. They can further utilize it to make the required advancements in their operations to acquire a competitive advantage over other participants.
The global Artificial Intelligence in Livestock Farming market size is projected to reach US$ million by 2027, from US$ million in 2020, at a CAGR of % during 2021-2027.
Segment Scope
An intensive study of key type and application segments has been done in this segmentation section. The authors of the report have provided reliable figures including revenue forecast data by type and application for the period 2016-2027. They have also studied how the segments are gaining or losing growth in various geographies and their respective countries. Thanks to this study, readers can thoroughly grasp the growth pattern and potential of different segments.
Segment by Type
Software
IoT Sensors
Service
Segment by Application
Small and Medium-Sized Farms
Large Sized Farms
Regional Scope
This segment of the report offers a thorough regional study of the global Artificial Intelligence in Livestock Farming market. Drivers and restraints for each region are broadly examined in the report. Readers will get familiar with the driving forces and challenges that are specific to the regions. The specialists have identified growth opportunities in key geographical regions and their respective countries to aid players to reinforce their presence. All the regions and their countries in the report are assessed based on the growth rate and revenue according to the consumption for the period 2016-2027. This geographical analysis will help readers to gain in-depth knowledge of the regional growth. The key geographical regions surveyed in this research report involve North America, Europe, Asia Pacific, Central and South America, and Middle East and Africa. The report has specifically covered major countries including United States, Canada, Germany, France, U.K., Italy, Russia, China, Japan, South Korea, India, Australia, China Taiwan, Indonesia, Thailand, Malaysia, Mexico, Brazil, Turkey, Saudi Arabia, UAE, etc.
Key Players
This section has provided an exhaustive analysis of the strategies that the companies are focusing on to stay ahead of other players. The strategies mainly involve research and development, new product developments, and mergers and acquisitions. The researchers have also provided revenue shares of the key companies, company overview, and the latest company developments so as to help players to sustain the cutthroat competition. In this section, the report offers global revenue data of manufacturers for the period 2016-2021. Following is the list of key manufacturers observed in this research study:
Connecterra
Cainthus
Vence
SmartShepherd
Pixobot
AgriWebb
BovControl
FarrPro
H2Oalert
Hencol
Jaguza Tech
Moonsyst
Roper
Simple Ag Solutions
SomaDetect
SwineTech
Frequently Asked Questions
Which application segment captured the leading share in the Artificial Intelligence in Livestock Farming market?
How fragmented is the Artificial Intelligence in Livestock Farming market?
Which are the key growth drivers in the Artificial Intelligence in Livestock Farming market?
Which are the top strategies undertaken by the Artificial Intelligence in Livestock Farming market players?
Which technological trends are likely to affect the Artificial Intelligence in Livestock Farming market?
What is the expected Artificial Intelligence in Livestock Farming market size by 2027?
Which companies are dominating the Artificial Intelligence in Livestock Farming market?
Which region is projected to witness the fastest growth in the future?
What factors are restraining the Artificial Intelligence in Livestock Farming market growth?
Which are the emerging companies in the Artificial Intelligence in Livestock Farming market?
Summary:
Get latest Market Research Reports on Artificial Intelligence in Livestock Farming. Industry analysis & Market Report on Artificial Intelligence in Livestock Farming is a syndicated market report, published as Global Artificial Intelligence in Livestock Farming Market Report, History and Forecast 2016-2027, Breakdown Data by Companies, Key Regions, Types and Application. It is complete Research Study and Industry Analysis of Artificial Intelligence in Livestock Farming market, to understand, Market Demand, Growth, trends analysis and Factor Influencing market.