Agriculture Analytics

SKU ID : DA- 27919669

No. of pages : 115

Publishing Date : 29-Jul-2024

Global agriculture analytics will have an incremental growth in coming years. According to the WK Research, “Global Agriculture Analytics Professional Survey Report 2022, Forecast to 2027”, market revenue growth is primarily driven by increasing adoption of advanced technologies in the agriculture sector such as Internet of Things (IoT), Big Data, and other analytics tools to improve crop yield and enhance work efficiency. The compound annual growth rate (CAGR) for the 2022-2027 period is projected to be 12.01% base on WK Research regression analysis model.

Analysts’ Viewpoint:
“Increasing initiatives by governments regarding deployment of advanced technologies in the agriculture sector to maximize crop production is expected to drive growth of the agriculture analytics market during the forecast period. Potential of data analytics to enhance agricultural supply chain management is supporting rising demand for agriculture analytics platforms. Growing trend of urban farming among urban populations as it reduces runoff from heavy rainfall and enhances air quality is expected to offer lucrative growth opportunities for major players in agriculture analytics as big data analysis can maximize the potential of limited available space and enhance overall efficiency”, said Kevin Rose, Senior analyst, in WK Research.

Market insight:
Market revenue growth is primarily driven by increasing adoption of advanced technologies in the agriculture sector such as Internet of Things (IoT), Big Data, and other analytics tools to improve crop yield and enhance work efficiency. Factors such as rising concerns regarding food security owing to rapid population growth and climate change are driving adoption of modern technologies in the agriculture sector. Analysis of agriculture-related data to improve crop management is a key factor boosting rising deployment of agriculture analytics. Analytics software provides insights into trends derived from vast volumes of data and provides details regarding plant and crop-related growing techniques with greater efficiency, fewer errors, and better quality and yield. Climate change is affecting agricultural production and it is a constant global threat. The predictive capabilities of big data are expected to offer accurate forecasts to help farmers prepare for unexpected weather conditions. Big data can also offer parameters for other natural factors such as temperature, rainfall, sunshine, wind speed, and cloud cover. Increasing investments by major players for development of advanced weather advisory apps is expected to drive growth of the agriculture analytics market during the forecast period.
Lack of technological awareness among farmers in developing countries is expected to restrain growth of the agriculture analytics market during the forecast period. Requirement of significant amount of funding for development of big data systems for agriculture is projected to hamper demand for agriculture analytics.

Competition Landscape:
This WK Research market report is designed to help clients improve their market position, and in line with this, this report provides a detailed analysis of several leading agriculture analytics companies that include: Deere & Company, IBM, Bayer AG, SAP SE, Trimble, Accenture, DeLaval, Iteris, Inc., Oracle, AGRIVI.

Segmentation of Agriculture Analytics Market:
According to the technology, the market for agriculture analytics is divided into: Services, Solution. Solution has the largest market share. Solution segment accounted for largest revenue share in the agriculture analytics market. Solution segment revenue growth rate is projected to incline rapidly during the forecast period. Rising need for more accurate crop forecasting and yield is driving demand for agriculture analytics solutions as the solution helps in analyzing decades of crop data and supports farmers in forecasting the number and state of crops produced before the seeds are even planted. Agriculture analytics solution has ability to maximize crop production in the shortest time possible. Adoption of agriculture analytic solutions owing to ability to provide accurate forecast and help farmers to prepare for unusual weather conditions has been increasing and is expected to boost growth of the solutions segment. Supply chain management solutions have the potential to deliver integrated, real-time applications for raw materials and commodities business by digitally transforming processes and connecting both within and outside enterprises.

According to the application, the market for agriculture analytics is divided into: Livestock analytics, Farm analytics. Farm analytics has the largest market share. Farm analytics segment accounted for largest revenue share in the agriculture analytics market. Rising need to increase agricultural production to cater to rising food demand while maintaining a sustainable agricultural system is resulting in rising demand for farm analytics. Rising need to improve agricultural supply chain management to minimize waste and excess inventory is driving adoption of farm analytics. The insights provided by data centers and analytics technology provide better risk management assessments, which makes farmers and other members in the agriculture supply chain more aware of risks. Farm analytics is increasingly being adopted to reduce crop diseases and pest infestations by tracking signs of plant diseases, which is boosting growth of this segment. Moreover, rising need for accurate weather forecasts to help farmers prepare for unusual weather is expected to fuel demand for farm analytics during the forecast period.

Agriculture Analytics Market: Regional Analysis
In terms of geography, the global agriculture analytics market has been segmented into: North America, Asia Pacific, Europe, South America, and the Middle East and Africa. Among the regional markets, North America accounted for largest revenue share contribution to the global market. Technological advancements of traditional agricultural activities and presence of improved agricultural techniques in countries in the region is expected to drive growth of the agricultural analytics market in the region. Increasing adoption of big data IoT sensors among large farms in countries in the region to increase crop yield and enhance efficiency is a key factor contributing to rising demand for agriculture analytics. Rising need to improve agricultural supply chain management among farmers and distributors to minimize waste and excess inventory is another factor supporting increasing utilization of agriculture analytics in the region. Presence of major players such as Deere & Company, IBM, Trimble, Iteris, and Oracle is expected to boost growth of the North America agriculture analytics market going ahead.

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