Digital Soil Mapping Platforms & Applications Market Size is valued at USD 248.85 Mn in 2024 and is predicted to reach USD 709.74 Mn by the year 2034 at an 11.1% CAGR during the forecast period for 2025-2034.
Digital Soil Mapping applies modern techniques and employment of advanced technologies such as GPS, remote sensing, GIS, and computational methods to generate detailed maps of soil characteristics. Field and laboratory data unite with spatial and non-spatial information to create quantitative links between soil properties and environmental variables. DSM uses geostatistical interpolation and other computational methods to generate geographically referenced databases more efficiently and at less cost than manual mapping.
The applications of DSM include the mapping of depth, texture, pH, and organic carbon of soil properties and modelling of soil dynamics such as hydraulic properties and carbon density. Soil sites have the interest of a wide range of users from the farmer to the landowner, governments, and forest managers in terms of critical and up-to-date information on soils that are believed to be crucial for issues such as sustainable agriculture, land degradation, and climate change. It generates high-resolution maps in detail and integrates with GIS that makes it very useful for modern soil management.
The digital soil mapping platforms and applications market is segmented by application and product type. By application the market is segmented into agriculture cooperatives, government and research institutes, agribusiness companies, and others. By product type market is categorized into drone scouting, mobile scouting, satellite imagery, others.
Through advanced technologies to efficiently and effectively optimize agricultural practices, agribusiness companies are at the forefront of driving the growth of digital soil mapping. Companies like Trimble use detailed soil data on pH levels, nutrient levels, and moisture content using precision agriculture to manage better and increase yields, maximizing resources. They integrate technologies such as drone scouting, mobile applications, and satellite imagery to continuously monitor the soil health, thus supporting real-time decisions and sustainable farming. The focus on sustainability together with global environmental goals fuels the demand for high-tech solutions in soil mapping in terms of both productivity and conservation.
Mobile scouting is gaining pace in the digital soil mapping market as it is straightforward, accessible, and more powerful. It allows farmers and agronomists to collect real-time data on the soil directly from the field with the help of smartphones or tablets, thus providing real-time decisions and timely interventions. Features such as GPS tracking, extensive user interfaces, and real-time analytics being added to mobile scouting apps by companies also enhance accuracy and make the technology accessible to more people. It optimizes the utilization of all resources and maximizes productivity while there is a growing emphasis on precision agriculture.
The North American region is primarily leading the market of digital soil mapping platforms and applications thanks to advanced agricultural practices, substantial investments in technology, and high adoption rates of digital tools like mobile scouting, drone scouting, and satellite imagery. Major companies include Trimble Inc., Deere & Company, and Ag Leader Technology, which are the top innovators in the sector. One of the emerging trends in remote sensing, data analytics, and IoT technologies is the enhancement of soil data acquisition to achieve improved accuracy and efficiency in sustainable agriculture that ensures North America's leadership in the market.
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Report Attribute |
Specifications |
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Market Size Value In 2024 |
USD 248.85 Mn |
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Revenue Forecast In 2034 |
USD 709.74 Mn |
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Growth Rate CAGR |
CAGR of 11.1% from 2025 to 2034 |
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Quantitative Units |
Representation of revenue in US$ Bn and CAGR from 2025 to 2034 |
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Historic Year |
2021 to 2024 |
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Forecast Year |
2025-2034 |
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Report Coverage |
The forecast of revenue, the position of the company, the competitive market structure, growth prospects, and trends |
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Segments Covered |
By Application, Product Type |
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Regional Scope |
North America; Europe; Asia Pacific; Latin America; Middle East & Africa |
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Country Scope |
U.S.; Canada; U.K.; Germany; China; India; Japan; Brazil; Mexico; France; Italy; Spain; South Korea; Southeast Asia |
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Competitive Landscape |
SoilOptix, Veris Technologies, Inc., Crop Nutrition Laboratory Services Ltd., SMARTCLOUDFARMING, Esri, Trimble Inc., Ag Leader Technology, CropX inc., AgEagle Aerial Systems Inc, Taranis, EarthOptics, Teralytic, Corteva, EOS Data Analytics, Inc., Arable Labs, Inc. |
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Customization Scope |
Free customization report with the procurement of the report, Modifications to the regional and segment scope. Geographic competitive landscape. |
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Pricing and Available Payment Methods |
Explore pricing alternatives that are customized to your particular study requirements. |
Digital Soil Mapping Platforms & Applications Market by Application -
Digital Soil Mapping Platforms & Applications Market by Product Type -
Digital Soil Mapping Platforms & Applications Market by region-
North America-
Europe-
Asia-Pacific-
Latin America-
Middle East & Africa-
InsightAce Analytic follows a standard and comprehensive market research methodology focused on offering the most accurate and precise market insights. The methods followed for all our market research studies include three significant steps – primary research, secondary research, and data modeling and analysis - to derive the current market size and forecast it over the forecast period. In this study, these three steps were used iteratively to generate valid data points (minimum deviation), which were cross-validated through multiple approaches mentioned below in the data modeling section.
Through secondary research methods, information on the market under study, its peer, and the parent market was collected. This information was then entered into data models. The resulted data points and insights were then validated by primary participants.
Based on additional insights from these primary participants, more directional efforts were put into doing secondary research and optimize data models. This process was repeated till all data models used in the study produced similar results (with minimum deviation). This way, this iterative process was able to generate the most accurate market numbers and qualitative insights.
Secondary research
The secondary research sources that are typically mentioned to include, but are not limited to:
The paid sources for secondary research like Factiva, OneSource, Hoovers, and Statista
Primary Research:
Primary research involves telephonic interviews, e-mail interactions, as well as face-to-face interviews for each market, category, segment, and subsegment across geographies
The contributors who typically take part in such a course include, but are not limited to:
Data Modeling and Analysis:
In the iterative process (mentioned above), data models received inputs from primary as well as secondary sources. But analysts working on these models were the key. They used their extensive knowledge and experience about industry and topic to make changes and fine-tuning these models as per the product/service under study.
The standard data models used while studying this market were the top-down and bottom-up approaches and the company shares analysis model. However, other methods were also used along with these – which were specific to the industry and product/service under study.
