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Global Big Data Analytics In Agriculture Growth Rate 2025, Forecast To 2034

25 Mar, 2025

What Has Been the Progress and Growth of the Big Data Analytics In Agriculture Market in Recent Years?

The big data analytics in agriculture market has seen considerable growth due to a variety of factors.
• The big data analytics in agriculture market has experienced rapid growth in recent years. It will increase from $1.3 billion in 2024 to $1.47 billion in 2025, at a CAGR of 13.4%.
The growth is driven by changing weather patterns, the need for soil health monitoring, crop yield optimization, and the adoption of advanced technologies.

How Does the Forecast Look for the Big Data Analytics In Agriculture Market?

The big data analytics in agriculture market is expected to maintain its strong growth trajectory in upcoming years.
• The big data analytics in agriculture market is expected to grow rapidly, reaching $2.42 billion by 2029 at a CAGR of 13.2%.
Growth is attributed to climate change, technological advances, population growth, and sustainability practices. Major trends include precision agriculture, smart irrigation, automated machinery, drone technology, and blockchain integration.

What Are The Leading Drivers Of Growth In The Big Data Analytics In Agriculture Market?

The growing adoption of precision farming is expected to drive the growth of big data analytics in agriculture. Precision farming uses technology to optimize crop production, reduce costs, and minimize environmental impact. Big data analytics supports this by providing insights to improve decision-making in crop management. According to the United States Department of Agriculture, precision farming adoption grew from 25% in 2021 to 27% in 2023. Therefore, the increasing use of precision farming is promoting the growth of big data analytics in agriculture.

How Are The Segments Defined Within The Global Big Data Analytics In Agriculture Market?

The big data analytics in agriculture market covered in this report is segmented –
1) By Component: Solution, Services
2) By Type: Capturing Data, Storing Data, Sharing Data, Analyzing Data, Other Types
3) By Application: Chemical, Financial, Weather, Farm Equipment, Crop Production Subsegments:
1) By Solution: Data Management And Storage Solutions, Data Visualization Tools, Predictive Analytics Solutions, Decision Support Systems, Cloud-Based Solutions, Farm Management Software
2) By Services: Consulting Services, Implementation Services, Training and Support Services, Managed Services, Data Analysis And Reporting Services

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What Trends Are Shaping The Big Data Analytics In Agriculture Market?

Companies in big data analytics for agriculture are forming strategic partnerships to enhance AI and machine learning capabilities. For example, in September 2023, Agrematch, an Israel-based AI company, partnered with ICL Group Ltd., an agrochemical manufacturer, to use AI for optimizing agricultural practices. This partnership aims to increase crop yields and reduce environmental impact by providing data-driven recommendations to farmers.

Who Are the Key Players In The Big Data Analytics In Agriculture Market?

Major companies operating in the big data analytics in agriculture market are:
• BASF SE
• International Business Machines Corporation (IBM)
• Deere & Company (John Deere)
• SAP SE
• Bayer AG
• Yara International ASA
• CNH Industrial NV
• AGCO Corporation
• Corteva Inc.
• Hexagon AB
• Valmont Industries Inc
• Trimble Inc
• NTT DATA Business Solutions AG
• Topcon Positioning Systems Inc
• Lindsay Corporation
• AeroVironment Inc.
• Raven Industries Inc
• The Climate Corporation
• Planet Labs PBC
• AG Leader Technology Inc.
• Farmers Edge Inc
• PrecisionHawk Inc.
• Prospera Technologies
• Descartes Labs
• Agribotix LLC
• AgDNA
• OnFarm Systems
• Conservis LLC

What Is The Most Dominant Region In The Big Data Analytics In Agriculture Market?

North America was the largest region in the big data analytics in agriculture market in 2023. The regions covered in the big data analytics in agriculture market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.