Current Business Affairs Global Artificial Intelligence in Agriculture Mark

Artificial Intelligence in Agriculture Market Analysis by Technology, By
Application, By Region & Segment Forecast, 2017 – 2025
Market Definition:
The global Artificial Intelligence in Agriculture market was estimated as USD 431.6 million in 2015 and is expected to
grow significantly with a CAGR of over 22% over the forecast period. Growing implementation of advanced technologies
(such as computer vision, machine learning and predictive analysis) & applications in agricultural field which allows the
farmers to analyze real-time data of temperature, weather conditions plant health, and soil moisture. Rising adoption of
advanced technologies for enhancing the crop productivity is expected to drive the industry growth.
The AI technology is substantially implemented in the agriculture for productivity enhancement. Growing
implementation of robotics in agricultural sector for healthier crop-yield and elevated consumption power has
contributed for market growth. Continuous change in preference of agriculturalists towards drones, smart sensors,
robots, automated machines, and escalating trends of accuracy in farming is projected to propel the industry growth.
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Market Growth and Analysis:
Field intensive care, livestock monitoring, soil & crop management, precision farming, predictive analytics and robotics
are some of the foremost applications of the Artificial Intelligence in agricultural field. The robotics application in dairy
farms & fields offer various benefits such as enhancing operational control in farms and providing reliability. For
instance, milking robots helps to boost the dairy farms control by leveraging technology. Additionally, farmers’ work has
been accelerated with integrating operational flexibility through driverless tractors in farm operations.
Rising adoption of precision agriculture & smart sensors will also influence the market positively.. Smart sensors are
placed across the farms to support precision agriculture procedure via data provided by the control systems and
generate conversant decisions in fertilizing, harvesting, & planting. Moreover, the sensors measure various climatic &
soil aspects including humidity and temperature which forwards information to the control system. The technology
involves high initial investments, knowledgeable and skilled farmers and efficient farming tools among others, thereby
apprehensive the application of technology.
Market Segment:
Artificial Intelligence in Agriculture market has been segmented based on technology and application. Under technology
segment, the market is bifurcated as Computer Vision, Predictive Analytics, and Machine Learning. On the basis of
application, the market is sub-divided as Agriculture Robots, Precision Farming, Livestock Monitoring, and Drone
Analytics. Machine Learning technology held the major share owing to the increasing adoption of the technology for
various application which include drone analytics, livestock monitoring. Machine learning enabled solutions are
significantly adopted various farmers and agricultural organizations. Furthermore, Predictive analytics technology
supports agriculturalists in improving their crop yield and product quality by correlating and analyzing big amount of
data from numerous sources to enhance yield.