Big Data Analytics In Agriculture Market Growth and Trends: Key Insights into Market Opportunities for 2025-2034
2025 Market Reports Update: Market Size Forecasts to 2034, Key Trends, Leading Players, and Top Regions – Get Ahead of the Competition Today!
Which Major Market Drivers Are Expected to Boost the Growth Potential of the Big Data Analytics In Agriculture Market?
With the surge in precision farming adoption, there’s expected to be significant progression in the big data analytics for the agricultural market. Thanks to its technique of exploiting technology to improve crop production and efficiency while closely observing and adjusting to the fluctuation in field conditions, precision farming is growing in popularity as it not only bolsters productivity but also diminishes input costs and lessens environmental damage through focused resource allocation. Big data analytics further supports precision farming by thoroughly analysing an extensive array of farming data, providing vital insights for accurate decision-making in crop management practices. For instance, an August 2023 report from the US Department of Agriculture stated that precision agriculture in the United States had risen from 25% in 2021 to 27% in 2023. North Dakota had the topmost adoption rate at 57%, with a succession of states such as Illinois, Iowa, Kansas, Nebraska, and South Dakota, each registering rates of 49% or greater. Consequently, as precision farming adoption surges, the big data analytics for the agricultural market is set to grow too.
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#What is the Projected CAGR for the Big Data Analytics In Agriculture Market Size from 2025 to 2034?
The market size for big data analytics in the agricultural sector has experienced swift expansion in the past few years. The market is expected to increase from $1.3 billion in 2024 to $1.47 billion in 2025 with a compound annual growth rate (CAGR) of 13.4%. Factors contributing to the growth in this historic period include changing climate conditions, soil quality, crop yield, instances of pests and diseases, the adoption of technology, market costs, and water consumption.
The market size of big data analytics in agriculture is projected to experience a speedy escalation in the coming years, reaching $2.42 billion by 2029 with a 13.2% compound annual growth rate (CAGR). The anticipated surge in the said period can be linked to factors such as climate change, advances in technology, population increase, regulatory alterations, sustainable practices, pest and disease control measures, and the availability of resources. Key market trends during the forecast period are predicted to encompass precision farming, intelligent watering systems, automation in machinery, drone tech, genetic alterations, data-powered decision processes, and the utilization of blockchain in managing supply chains.
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What Are the Key Market Innovations in theBig Data Analytics In Agriculture Market Over the Coming Years?
Key firms involved in the agricultural big data analytics sector are increasingly resorting to strategic alliances to boost AI, machine learning, and widen their market scope. This type of partnership generally represents a cooperative alliance between two or more entities that merge their resources, skills, and efforts to accomplish shared goals. For example, in September 2023, Agrematch., a biotech research and AI organization from Israel, partnered with ICL Group Ltd., a similar Israel-based agrochemical manufacturer, to offer advanced AI for exploring bio stimulants to improve agriculture. The purpose of the alliance is to augment crop yields, enhance effective use of resources, and encourage eco-friendly farming by equipping farmers with accurate, data-dependent advice on using fertilizers and other farming essentials. In their quest to do so, Agrematch taps into the strength of data analytics and artificial intelligence, incorporating advanced machine and deep learning (ML/DL) systems with their unique database and uniting these technologies with proficiency in the fields of biology, chemistry, and agriculture. They created a sturdy AI predictive system to spark innovation, minimize environmental harm and equip farmers with essential tools and knowledge to boost their productivity and eco-friendliness.
Who Are the Top Companies Driving Innovation and Growth in theBig 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
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Which Key Market Segments Comprise the Big Data Analytics In Agriculture Market and Drive Its Revenue Growth?
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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Which Regions Are Emerging as Leaders 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.
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