Big Data Analytics In Agriculture Market Rising Trends, Key Leading Players, Trends Analysis, Industry Share And Forecast To 2033

Overview and Scope
Big data analytics in agriculture refers to the process of collecting, processing, and analyzing large volumes of data from various agricultural sources (e.g., weather, soil, crop health, and machinery) to make informed decisions, optimize farming practices, improve crop yields, and enhance overall farm productivity. It enables precise decision-making, leading to optimized resource usage, improved crop yields, reduced costs, and enhanced sustainability.

Sizing and Forecast
The big data analytics in agriculture market size has grown rapidly in recent years. It will grow from $1.15 billion in 2023 to $1.30 billion in 2024 at a compound annual growth rate (CAGR) of 13.1%.  The growth in the historic period can be attributed to changing weather patterns, soil health, crop yields, pest and disease outbreaks, technological adoption, market prices, and water usage.

The big data analytics in agriculture market size is expected to see rapid growth in the next few years. It will grow to $2.14 billion in 2028 at a compound annual growth rate (CAGR) of 13.3%.  The growth in the forecast period can be attributed to climate change, technological advances, population growth, regulatory changes, sustainability practices, pest and disease management, and resource availability. Major trends in the forecast period include precision agriculture, smart irrigation systems, automated machinery, drone technology, genetic modification, data-driven decision-making, and blockchain for supply chain management.

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Segmentation & Regional Insights
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

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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Major Driver Impacting Market Growth
The increasing adoption of precision farming is expected to propel the growth of big data analytics in the agriculture market going forward. Precision farming is an agricultural management refers to approach that utilizes technology to optimize crop production and efficiency by closely monitoring and responding to variability in field conditions. Precision farming is gaining traction due to its ability to enhance productivity, reduce input costs, and minimize environmental impact through targeted application of resources. Big data analytics in agriculture supports precision farming by analyzing vast amounts of farming data to provide insights for precise decision-making in crop management practices. For instance, in August 2023, according to a report published by the United States Department of Agriculture, a US-based federal agency, the average adoption of precision agriculture in the US was 25% in 2021 and increased to 27% in 2023. Moreover, North Dakota has the highest adoption rate at 57%, followed by states such as Illinois, Iowa, Kansas, Nebraska, and South Dakota, each reporting rates of 49% or higher. Therefore, the increasing adoption of precision farming will drive the growth of big data analytics in the agriculture market.

Key Industry Players
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

The big data analytics in agriculture market report table of contents includes:
1. Executive Summary
2. Big Data Analytics In Agriculture Market Characteristics
3. Big Data Analytics In Agriculture Market Trends And Strategies
4. Big Data Analytics In Agriculture Market - Macro Economic Scenario
5. Global Big Data Analytics In Agriculture Market Size and Growth

...

32. Global Big Data Analytics In Agriculture Market Competitive Benchmarking
33. Global Big Data Analytics In Agriculture Market Competitive Dashboard
34. Key Mergers And Acquisitions In The Big Data Analytics In Agriculture Market
35. Big Data Analytics In Agriculture Market Future Outlook and Potential Analysis
36. Appendix

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