Jyoti Waghmare
Jyoti Waghmare
3 hours ago
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Agriculture Analytics Market: Sustainability Practices and Innovations

Agriculture Analytics Market Size, Share & Trends Analysis Report By Offering (Solutions and Aquaculture Farming), By Application, By Field Size, By Region, And Segment Forecasts

The global agriculture analytics market is experiencing substantial growth, with its value projected to rise from an estimated $6.49 billion in 2024 to $14.22 billion by 2030. This growth is driven by a CAGR of 14.4% from 2025 to 2030. The market's expansion is primarily fueled by the increasing adoption of advanced technologies like predictive analytics and machine learning (ML).

 

These technologies enable farmers to make data-driven decisions by analyzing historical and real-time data. ML algorithms help identify trends, allowing farmers to predict yields, anticipate weather impacts, and detect potential risks such as disease or pest outbreaks. Predictive analytics also assist in optimizing planting and harvesting schedules, which boosts operational efficiency and profitability by reducing uncertainty.

 

The market is further propelled by the rise of digital farming ecosystems, which integrate various technologies, including IoT devices, sensors, drones, and software platforms. In this interconnected environment, agriculture analytics is crucial for processing data from different sources to provide farmers with actionable insights. This allows for real-time monitoring of field conditions and equipment performance, enabling quick, informed responses to changing conditions.

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Key Market Trends & Insights

  • North America holds a significant market share, accounting for 45.1% in 2024. This is largely due to the growth of vertical farming and urban agriculture in the U.S.
  • By offering, the solution segment dominated the market with a 58.6% revenue share in 2024. The demand for user-friendly, mobile-compatible solutions providing real-time insights is a key growth driver.
  • The precision farming segment led by application, holding a 47.6% revenue share in 2024. This is being fueled by the increasing use of Variable Rate Technology (VRT), which allows for precise application of fertilizers and other inputs based on specific soil and crop conditions.
  • Based on field size, the large field size segment was the market leader, with a revenue share of 49.8% in 2024. This is driven by increased investment in IoT-enabled farm management systems for large-scale operations.

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Order a free sample PDF of the Agriculture Analytics Market Intelligence Study, published by Grand View Research.

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Market Size & Forecast

  • 2024 Market Size: USD 6.49 Billion
  • 2030 Projected Market Size: USD 14.22 Billion
  • CAGR (2025-2030): 14.4%
  • North America: Largest market in 2024

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Key Companies & Market Share Insights

The market includes key players such as Trimble Inc., IBM Corporation, Wipro, and SAP SE, among others. Emerging participants like Wolkus Technology Solutions and AGEYE Technologies are also contributing to the market's innovation by offering specialized solutions for water management, micro-climatic forecasting, and autonomous indoor farming.

Key Players

  • Trimble Inc.
  • IBM Corporation
  • Wipro
  • SAP SE
  • Iteris
  • Taranis
  • Oracle Corporation
  • Conservis Corporation
  • Geosys Inc.
  • Xylem Inc.
  • PrecisionHawk
  • Gro Intelligence

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Conclusion

The agriculture analytics market is experiencing robust expansion, with its value projected to more than double over the next six years. This growth is directly linked to the widespread adoption of predictive analytics and machine learning, which enable farmers to improve efficiency and profitability through data-driven decisions. The ongoing digitalization of farming, particularly through the use of integrated ecosystems and IoT devices, further solidifies the central role of analytics in modern agriculture. This transformation is set to continue as technology empowers farmers to manage resources, mitigate risks, and optimize operations more effectively than ever before.