Global Agriculture Analytics Market is projected to reach USD 1.5 Billion by 2027, registering a CAGR of 11.71% during the forecast period. In this report, Market Research Future (MRFR) includes the segmentation and dynamics of the agriculture analytics market to offer a better glimpse into the coming years
Global Agriculture Analytics Market Growth Rate, Trends, Analysis, Future Scope, Size, Share, Forecast To 2027
Global Agriculture Analytics Market Growth Rate, Trends,
Analysis, Future Scope, Size, Share, Forecast To 2027
Market Overview
Global Agriculture Analytics Market is projected to reach USD 1.5 Billion by 2027, registering a
CAGR of 11.71% during the forecast period. In this report, Market Research Future (MRFR)
includes the segmentation and dynamics of the agriculture analytics market to offer a better glimpse
into the coming years
Global Agriculture Analytics Market has been segmented based on Component, Farm Size,
Deployment, Application, and Region.
Based on component, the global agriculture analytics market has been segmented into solution and
services. The solution segment is expected to account for a significant market share over the
projected period. The increasing need for agribusiness to analyse critical farm-related data for better
decision-making contributes to the growth of the solution segment in the global market during the
forecast period.
Based on farm size, the global agriculture analytics market has been segmented into large farms
and small and medium-sized farms. The large farms segment accounted for the larger market share
and is expected to hold the higher CAGR during the forecast period. The adoption of agriculture
analytics solutions in large farms is higher than in small and medium-sized farms due to the
affordability. Additionally, large farms usually have the capital to invest in innovative technologies
that allow them to improve a well-equipped next-generation agricultural infrastructure.
Based on deployment, the global agriculture analytics market has been segmented into cloud
and on-premises. The cloud-based segment is projected to witness the higher CAGR during
the study period. Cloud-based software solutions do not require users to purchase a server to
run the analytics techniques. Cloud computing focuses on shared networks, servers, and
storage devices, eliminating the high costs incurred in maintaining hardware and software
infrastructure.
Based on application, the agriculture analytics market has been segmented into farm
analytics, livestock analytics, aquaculture analytics, and others. The others segment is further
sub-divided into orchid, forestry, and horticulture. The livestock analytics segment is expected
to hold the largest share during the forecast period. Agriculture analytics solutions aid
livestock producers in making better decisions by acquiring real-time information about
animals and improving various livestock management processes.
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Competitive Analysis
The Key Players of the Global Agriculture Analytics Market are Deere & Company (US), IBM
(US), SAP SE (Germany), Trimble (US), Monsanto (US), Oracle (US), Accenture (Ireland),
Iteris (US), Taranis (Israel), Agribotix (US), Agrivi (UK), DTN (US), aWhere (US), Conservis
Corporation (US), DeLaval (Sweden), FBN (US), Farmers Edge (US), GEOSYS (US),
Granular (US), Gro Intelligence (US), Proagrica (UK), PrecisionHawk (US), RESSON
(Canada), Stesalit Systems (India), AgVue Technologies (US), Fasal (India), AGEYE
Technologies (US), HelioPas AI (Baden-Württemberg), OneSoil (Belarus), and Root AI (US)
Regional Analysis
The regional analysis for the global agriculture analytics market has been done for North
America, Europe, Asia-Pacific, and the Middle East & Africa, and South America. The market
in North America accounted for the largest market share in 2019, and it is expected to register
strong growth during the forecast period. The market in Asia-Pacific is expected to register the
highest CAGR during the forecast period. This growth can be attributed to the growing
adoption of agriculture analytics technology among the various verticals.
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