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Big Data Analytics In Agriculture Market Size Forecasted To Achieve $2.42 Billion By 2029 With Steady Growth
Big Data Analytics In Agriculture
What Is the Big Data Analytics In Agriculture Market Size and Projected Growth Rate?
The big data analytics in agriculture market size has grown rapidly in recent years. It will grow from $1.3 billion in 2024 to $1.47 billion in 2025, reflecting a CAGR of 13.4%. This growth is attributed to factors like changing weather patterns, crop yield optimization, pest and disease control, technological adoption, and water usage efficiency.
The big data analytics in agriculture market is projected to grow to $2.42 billion by 2029 at a CAGR of 13.2%. Growth is attributed to climate change, population growth, and sustainability practices. Key trends include precision agriculture, smart irrigation, and drone technology.
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What Are the Major Segments in the 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 Are The Driving Big Data Analytics In Agriculture Market Evolution?
The increasing adoption of precision farming is expected to boost the big data analytics market in agriculture. Precision farming uses technology to optimize crop production by monitoring and responding to field variability. It helps improve productivity, reduce costs, and minimize environmental impact through the targeted application of resources. Big data analytics supports precision farming by analyzing large datasets to help farmers make precise decisions. According to the U.S. Department of Agriculture (USDA), precision agriculture adoption in the U.S. rose from 25% in 2021 to 27% in 2023, with North Dakota having the highest adoption rate at 57%. This growing adoption of precision farming is driving the growth of big data analytics in agriculture.
Which Firms Dominate The Big Data Analytics In Agriculture Market Segments?
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 Are the Major Trends Shaping the Big Data Analytics In Agriculture Market?
Companies in the big data analytics for agriculture market are forming strategic partnerships to boost AI and machine learning capabilities. In September 2023, Agrematch, an Israeli AI company, partnered with ICL Group Ltd. to develop AI tools that optimize crop yields and enhance sustainable farming practices. This partnership aims to provide farmers with data-driven solutions to improve efficiency and productivity.
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Which Is The Largest 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.
Frequently Asked Questions:
1. What Is the Market Size and Growth Rate of the Big Data Analytics In Agriculture Market?
2. What is the CAGR expected in the Big Data Analytics In Agriculture Market?
3. What Are the Key Innovations Transforming the Big Data Analytics In Agriculture Industry?
4. Which Region Is Leading the Big Data Analytics In Agriculture Market?
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