The Business Research Company’s report on the Agriculture Analytics Market provides insights into the global market size, growth rate, regional distribution, competitive landscape, key segments, emerging trends, and strategic opportunities.
#How have key drivers contributed to the rapid growth of the agriculture analytics market?
Increasing adoption of precision agriculture is expected to propel the growth of the agriculture analytics market going forward. Precision agriculture refers to the process of integrating advanced technologies, data-driven approaches, and innovative practices into farming to optimize resource use, improve productivity, and enhance sustainability. The adoption of precision agriculture is increasing due to the need for efficiency, rising food demand, technological advancements, environmental sustainability, government incentives, climate change challenges, the appeal of data-driven decision-making, and improved returns on investment. The agriculture analytics accelerates the adoption of precision agriculture by providing predictive insights to forecast yields and detect issues early while also optimizing resource management to reduce waste and improve efficiency. 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 leads with the highest adoption rate at 57%, followed by states like Illinois, Iowa, Kansas, Nebraska, and South Dakota, each reporting rates of 49% or higher. Therefore, increasing adoption of precision agriculture is driving the growth of the agriculture analytics market.
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How has the agriculture analytics market size evolved, and what are the latest forecasts for its expansion?
The agriculture analytics market size has grown rapidly in recent years. It will grow from $1.68 billion in 2024 to $1.87 billion in 2025 at a compound annual growth rate (CAGR) of 11.2%. The growth in the historic period can be attributed to increased focus on food security, government support and subsidies, climate change and resource management, rising global population, and increasing demand for crop yield optimization.
The agriculture analytics market size is expected to see rapid growth in the next few years. It will grow to $2.82 billion in 2029 at a compound annual growth rate (CAGR) of 10.9%. The growth in the forecast period can be attributed to rising adoption of cloud-based solutions, adoption of precision agriculture, growing demand for sustainable practices, use of drones and satellite imaging, and data-driven decisions. Major trends in the forecast period include the integration of blockchain for transparency, smart farm equipment and automation, personalized crop management, data sharing, and collaborative platforms.
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Which major companies dominate the agriculture analytics market?
Major companies operating in the agriculture analytics market are Microsoft Corporation, BASF SE, Amazon Web Services, Accenture plc, International Business Machines Corporation, Deere & Company, Oracle Corporation, SAP SE, AGCO Corporation, Wipro Inc., Corteva Inc., Xylem Inc., Hexagon AB, Trimble Inc, Topcon Positioning Systems Inc, Planet Labs PBC, PrecisionHawk Inc., Descartes Labs, Agribotix LLC, Conservis LLC
What trends will shape the future of the agriculture 4.0 market?
Major companies operating in the agriculture analytics market are focusing on the adoption of satellite imagery and AI-powered analytics features, such as map builders, to enhance operational efficiency, improve crop yields, and reduce costs, ultimately driving profitability and sustainability. The map builder enables farmers to create optimized variable-rate application maps by integrating satellite imagery and machinery data, enhancing resource efficiency and crop yields. For instance, in September 2024, EOS Data Analytics, a US-based company specializing in satellite-based software solutions, introduced the VRA Map Builder feature within its EOSDA Crop Monitoring platform to enhance precision farming capabilities. This new tool allows farmers and agronomists to generate Variable Rate Application (VRA) maps by integrating data from various sources, including satellite imagery and yield data from smart machinery. Aimed at users on the Professional plan, the VRA Map Builder simplifies the traditionally complex process of creating accurate VRA maps, making it more accessible to those without extensive technical knowledge. By enabling seamless uploads of machinery data, the feature helps optimize agricultural inputs based on specific field conditions, ultimately boosting crop yields while lowering costs and minimizing environmental impact.
Which region dominates the agriculture analytics market, and what factors contribute to its leadership?
North America was the largest region in the agriculture analytics market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the agriculture analytics market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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How is the agriculture analytics market segmented, and which segment holds the largest share?
The agriculture analytics market covered in this report is segmented –
1) By Component: Solution, Services
2) By Deployment: Cloud, On-Premises
3) By Technology: Remote Sensing And Satellite Imagery, Geographic Information System, Robotics And Automation, Big Data And Cloud Computing, Visualization And Reporting, Blockchain Technology, Other Technologies
4) By Application: Farm Analytics, Livestock Analytics, Aquaculture, Other Applications
5) By End Users: Farmers, Agronomists, Agribusinesses, Agricultural Researchers, Government Agencies, Other End Users
Subsegments:
1) By Solution: Farm Management Analytics, Yield Monitoring And Forecasting, Soil Health And Fertility Analytics, Climate And Weather Analytics
2) By Services: Consulting Services, Implementation And Integration Services, Support And Maintenance Services, Data Analytics And Advisory Services
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What defines the structure and scope of the agriculture analytics market?
Agriculture analytics refers to the application of advanced data analysis techniques, technologies, and tools to optimize agricultural operations, enhance productivity, and promote sustainability in farming. It involves collecting, processing, and analyzing data from various sources, such as sensors, satellite imagery, weather forecasts, and historical records, to provide actionable insights for farmers, agribusinesses, and policymakers.
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