The global Artificial Intelligence in Agriculture market was estimated at $431.6 million in 2015 and is expected to grow at a CAGR of over 22% due to the increasing implementation of advanced technologies like machine learning and computer vision. Machine learning has become the dominant technology for applications like predictive analytics, drone analytics, and livestock monitoring. North America currently dominates the market due to major industry players implementing AI applications to improve crop management and productivity.

1. Global Artificial Intelligence in Agriculture Market Trends,
Analysis, And Forecast To 2025
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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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

2. skilled farmers and efficient farming tools among others, thereby apprehensive the application of
technology.
Machine Learning segment emerged as the dominant segment in technology
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.
Increasing application of computer vision technology such as plant image recognition, and the cumulative
demand for healthier crop analyses are the significant factors subsidizing the segment growth. Also, drone
analytics application is projected to witness substantial growth owing to the wide-ranging application for
real-time decisions along with mapping & diagnosing crop health. Pleasing government regulations for
drones’ application in agricultural sector is expected to fuel the growth.
North America holds largest share in overall market
North America region dominated the market for AI in agriculture. Increasing demand for advanced
technologies is estimated to drive the growth of the market owing to the significant industry players which
has implemented the technology applications to improve the crop management techniques along with the
productivity. The levitating implementation of computer vision technologies with deep learning for AI
applications in agricultural sector is a major driver for the market development in the Asia Pacific countries
such as India, and China over the forecast period.
Prominent market players are Agrosmart, Iteris, Farmlogs, Granular, Agworld, Gamaya, Trimble, Raven
Industries, Hortau, John Deere, aWhere, Grownetics, Pycno, Scicorp, and AGCO Corporation. The
players are adopting various marketing strategies such as R&D, merger & acquisitions, global expansion,
product launch, and, collaboration.
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Market

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