Soil Moisture Intelligence Market Forecasts to 2034 – Global Analysis By Technology (Dielectric Sensors, Tensiometers, Capacitance Sensors, Neutron Sensors, Remote Sensing and Other Technologies), Soil Depth, Data Mode, Intelligence Output, End User, and Geography
According to Stratistics MRC, the Global Soil Moisture Intelligence Market is accounted for $1.5 billion in 2026 and is expected to reach $4.9 billion by 2034 growing at a CAGR of 15.9% during the forecast period. Soil moisture intelligence refers to technology-enabled systems that collect, analyze, and interpret soil moisture data to optimize irrigation, crop management, and agricultural resource use. These solutions integrate soil sensors, satellite imagery, remote sensing, weather information, artificial intelligence, and predictive analytics to provide real-time or near-real-time insights into water availability within agricultural fields. Soil moisture intelligence helps farmers determine irrigation requirements, reduce water consumption, prevent crop stress, and improve yields. Increasing water scarcity, precision agriculture adoption, and demand for efficient irrigation management are driving the global adoption of soil moisture intelligence solutions.
Growing water scarcity and increasing demand for irrigation optimization are driving adoption of soil moisture intelligence solutions across all agricultural regions facing water constraints. Climate change impacts on precipitation patterns and water availability are accelerating demand for precision irrigation technologies that maximize water use efficiency. Regulatory requirements for water use efficiency and reporting are supporting market expansion as governments implement water conservation policies. Rising input costs and crop value are increasing economic incentives for water optimization through reduced pumping costs and improved yields. Water scarcity concerns are intensifying across major agricultural regions worldwide.
High sensor costs and infrastructure requirements for soil moisture monitoring systems present significant adoption barriers for smaller farming operations with limited capital resources. Limited connectivity in rural areas constrains real-time data availability and system performance where cellular or internet access is unreliable. Data interpretation and integration with irrigation systems require specialized technical expertise that is often unavailable on farms. Maintenance and calibration requirements affect long-term system reliability and increase total cost of ownership. Many farmers lack technical support for effective system utilization.
Integration of soil moisture intelligence with automated irrigation systems presents significant growth opportunities for precision agriculture solution providers seeking to create complete solutions. Development of low-cost, wireless sensor networks is expanding addressable markets to smaller operations that previously could not afford monitoring systems. AI and machine learning applications are improving forecasting and decision support capabilities through advanced data analysis. Partnerships with irrigation equipment manufacturers are accelerating solution adoption through integrated product offerings. Automated irrigation based on soil moisture data reduces labor requirements and improves water use efficiency.
Competition from satellite-based moisture estimation services may limit demand for in-situ monitoring solutions, particularly in regions with good satellite coverage. Climate variability affecting soil moisture patterns may influence system value perception during periods of extreme weather. Data privacy and ownership concerns may affect farmer participation in data sharing programs where information could be used competitively. Limited standardization across sensor technologies creates interoperability challenges for multi-vendor systems. Technology obsolescence requires continuous investment in system upgrades to maintain competitiveness.
Covid-19 Impact:
The COVID-19 pandemic highlighted the importance of water efficiency and food security, accelerating interest in soil moisture intelligence solutions across global agriculture. Supply chain disruptions affected sensor availability and installation during lockdown periods when movement restrictions limited on-farm service. The post-pandemic period has witnessed increased investment in precision agriculture technologies as farmers seek efficiency gains. Remote monitoring capabilities have gained importance for farm management as labor availability remains challenging. Water scarcity concerns continue to intensify, driving monitoring adoption.
The dielectric sensors segment is expected to be the largest during the forecast period
The dielectric sensors segment is expected to account for the largest market share during the forecast period as dielectric sensor technology provides accurate, reliable, and cost-effective soil moisture measurement across diverse soil types and environmental conditions. Capacitance and TDR sensors are widely adopted for both research and commercial applications due to their proven performance characteristics. Growing availability of affordable sensor solutions is driving sustained demand across all agricultural segments and geographic regions. Established industry standards and extensive field validation support continued dielectric sensor market dominance. Dielectric sensors offer the best combination of accuracy and affordability for most applications.
The moisture forecasting segment is expected to have the highest CAGR during the forecast period
Over the forecast period, the moisture forecasting segment is predicted to witness the highest growth rate driven by increasing demand for predictive irrigation management capabilities that optimize water application timing and volume based on expected conditions. Moisture forecasting enables proactive irrigation decisions based on expected soil moisture changes rather than reactive responses to observed conditions. Growing integration with weather data and AI analytics is accelerating adoption of forecasting solutions that provide actionable recommendations. Producers increasingly seek predictive capabilities that optimize water use and reduce irrigation costs. Forecasting reduces the risk of both under-irrigation and over-irrigation.
Region with largest share:
During the forecast period, the North America region is expected to hold the largest market share owing to early adoption of precision irrigation technologies, well-established sensor infrastructure, and advanced agricultural practices across major production regions. The United States hosts major soil moisture intelligence providers with extensive commercial deployments across the Corn Belt and western irrigated regions. High technology adoption and water scarcity concerns reinforce regional market leadership through continued innovation and investment. Strong research infrastructure supports ongoing technology development and field validation. Significant water resource challenges in western states drive monitoring adoption.
Region with highest CAGR:
Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR driven by growing agricultural water challenges, expanding irrigated agriculture, and increasing adoption of precision irrigation technologies across major economies. China, India, and Australia are investing in soil moisture intelligence solutions to address water scarcity and improve agricultural water productivity. Rising agricultural productivity demands and government support for water efficiency are accelerating market expansion through policy incentives. Growing population and food demand increase pressure on water resources, driving technology adoption. Significant agricultural land area under irrigation creates substantial market opportunities.
In February 2025, Trimble Inc. announced significant enhancements to its soil moisture intelligence capabilities with new sensor technologies and analytics for improved irrigation decision support. The enhancements enable more precise water management and crop yield optimization.
Market Dynamics
Driver:
Growing water scarcity and irrigation optimization needsGrowing water scarcity and increasing demand for irrigation optimization are driving adoption of soil moisture intelligence solutions across all agricultural regions facing water constraints. Climate change impacts on precipitation patterns and water availability are accelerating demand for precision irrigation technologies that maximize water use efficiency. Regulatory requirements for water use efficiency and reporting are supporting market expansion as governments implement water conservation policies. Rising input costs and crop value are increasing economic incentives for water optimization through reduced pumping costs and improved yields. Water scarcity concerns are intensifying across major agricultural regions worldwide.
Restraint:
High sensor costs and infrastructure requirementsHigh sensor costs and infrastructure requirements for soil moisture monitoring systems present significant adoption barriers for smaller farming operations with limited capital resources. Limited connectivity in rural areas constrains real-time data availability and system performance where cellular or internet access is unreliable. Data interpretation and integration with irrigation systems require specialized technical expertise that is often unavailable on farms. Maintenance and calibration requirements affect long-term system reliability and increase total cost of ownership. Many farmers lack technical support for effective system utilization.
Opportunity:
Integration with automated irrigation systemsIntegration of soil moisture intelligence with automated irrigation systems presents significant growth opportunities for precision agriculture solution providers seeking to create complete solutions. Development of low-cost, wireless sensor networks is expanding addressable markets to smaller operations that previously could not afford monitoring systems. AI and machine learning applications are improving forecasting and decision support capabilities through advanced data analysis. Partnerships with irrigation equipment manufacturers are accelerating solution adoption through integrated product offerings. Automated irrigation based on soil moisture data reduces labor requirements and improves water use efficiency.
Threat:
Competition from satellite-based moisture estimationCompetition from satellite-based moisture estimation services may limit demand for in-situ monitoring solutions, particularly in regions with good satellite coverage. Climate variability affecting soil moisture patterns may influence system value perception during periods of extreme weather. Data privacy and ownership concerns may affect farmer participation in data sharing programs where information could be used competitively. Limited standardization across sensor technologies creates interoperability challenges for multi-vendor systems. Technology obsolescence requires continuous investment in system upgrades to maintain competitiveness.
Covid-19 Impact:
The COVID-19 pandemic highlighted the importance of water efficiency and food security, accelerating interest in soil moisture intelligence solutions across global agriculture. Supply chain disruptions affected sensor availability and installation during lockdown periods when movement restrictions limited on-farm service. The post-pandemic period has witnessed increased investment in precision agriculture technologies as farmers seek efficiency gains. Remote monitoring capabilities have gained importance for farm management as labor availability remains challenging. Water scarcity concerns continue to intensify, driving monitoring adoption.
The dielectric sensors segment is expected to be the largest during the forecast period
The dielectric sensors segment is expected to account for the largest market share during the forecast period as dielectric sensor technology provides accurate, reliable, and cost-effective soil moisture measurement across diverse soil types and environmental conditions. Capacitance and TDR sensors are widely adopted for both research and commercial applications due to their proven performance characteristics. Growing availability of affordable sensor solutions is driving sustained demand across all agricultural segments and geographic regions. Established industry standards and extensive field validation support continued dielectric sensor market dominance. Dielectric sensors offer the best combination of accuracy and affordability for most applications.
The moisture forecasting segment is expected to have the highest CAGR during the forecast period
Over the forecast period, the moisture forecasting segment is predicted to witness the highest growth rate driven by increasing demand for predictive irrigation management capabilities that optimize water application timing and volume based on expected conditions. Moisture forecasting enables proactive irrigation decisions based on expected soil moisture changes rather than reactive responses to observed conditions. Growing integration with weather data and AI analytics is accelerating adoption of forecasting solutions that provide actionable recommendations. Producers increasingly seek predictive capabilities that optimize water use and reduce irrigation costs. Forecasting reduces the risk of both under-irrigation and over-irrigation.
Region with largest share:
During the forecast period, the North America region is expected to hold the largest market share owing to early adoption of precision irrigation technologies, well-established sensor infrastructure, and advanced agricultural practices across major production regions. The United States hosts major soil moisture intelligence providers with extensive commercial deployments across the Corn Belt and western irrigated regions. High technology adoption and water scarcity concerns reinforce regional market leadership through continued innovation and investment. Strong research infrastructure supports ongoing technology development and field validation. Significant water resource challenges in western states drive monitoring adoption.
Region with highest CAGR:
Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR driven by growing agricultural water challenges, expanding irrigated agriculture, and increasing adoption of precision irrigation technologies across major economies. China, India, and Australia are investing in soil moisture intelligence solutions to address water scarcity and improve agricultural water productivity. Rising agricultural productivity demands and government support for water efficiency are accelerating market expansion through policy incentives. Growing population and food demand increase pressure on water resources, driving technology adoption. Significant agricultural land area under irrigation creates substantial market opportunities.
Key players in the market
Some of the key players in the Soil Moisture Intelligence Market include John Deere, Trimble Inc., Topcon Corporation, Valmont Industries, Inc., Netafim Ltd., Arable Labs, Inc., Irrometer Company, Inc., METER Group, Inc., Campbell Scientific, Inc., Stevens Water Monitoring Systems, Inc., Acclima, Inc., Sentek Pty Ltd., Verdi Expeditions, Inc., Planet Labs PBC, and Deveron Corp.Key Developments:
In April 2025, John Deere launched an enhanced soil moisture intelligence platform integrating sensor data, satellite imagery, and AI analytics for comprehensive irrigation management. The platform provides real-time moisture monitoring, forecasting, and automated irrigation recommendations. The development responds to growing demand for integrated precision irrigation solutions.In February 2025, Trimble Inc. announced significant enhancements to its soil moisture intelligence capabilities with new sensor technologies and analytics for improved irrigation decision support. The enhancements enable more precise water management and crop yield optimization.
Technologies Covered:
- Dielectric Sensors
- Tensiometers
- Capacitance Sensors
- Neutron Sensors
- Remote Sensing
- Other Technologies
Soil Depths Covered:
- Surface
- Shallow
- Root Zone
- Deep Soil
- Multi-Depth
- Other Soil Depths
Data Modes Covered:
- Point Data
- Field Maps
- Time Series
- Forecast Data
- Real-Time Data
- Other Data Modes
Intelligence Outputs Covered:
- Moisture Mapping
- Moisture Forecasting
- Irrigation Alerts
- Water Stress Detection
- Water Balance
- Other Intelligence Outputs
End Users Covered:
- Farmers
- Irrigation Providers
- Agribusinesses
- Research Institutions
- Government Agencies
- Other End Users
Regions Covered:
- North America
- United States
- Canada
- Mexico
- Europe
- United Kingdom
- Germany
- France
- Italy
- Spain
- Netherlands
- Belgium
- Sweden
- Switzerland
- Poland
- Rest of Europe
- Asia Pacific
- China
- Japan
- India
- South Korea
- Australia
- Indonesia
- Thailand
- Malaysia
- Singapore
- Vietnam
- Rest of Asia Pacific
- South America
- Brazil
- Argentina
- Colombia
- Chile
- Peru
- Rest of South America
- Rest of the World (RoW)
- Middle East
- Saudi Arabia
- United Arab Emirates
- Qatar
- Israel
- Rest of Middle East
- Africa
- South Africa
- Egypt
- Morocco
- Rest of Africa
- Middle East
What our report offers:
- Market share assessments for the regional and country-level segments
- Strategic recommendations for the new entrants
- Covers Market data for the years 2023, 2024, 2025, 2026, 2027, 2028, 2030, 2032 and 2034
- Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
- Strategic recommendations in key business segments based on the market estimations
- Competitive landscaping mapping the key common trends
- Company profiling with detailed strategies, financials, and recent developments
- Supply chain trends mapping the latest technological advancements
Free Customization Offerings:
All the customers of this report will be entitled to receive one of the following free customization options:- Company Profiling
- Comprehensive profiling of additional market players (up to 3)
- SWOT Analysis of key players (up to 3)
- Regional Segmentation
- Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
- Competitive Benchmarking
- Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances
1 EXECUTIVE SUMMARY
1.1 Market Snapshot and Key Highlights
1.2 Growth Drivers, Challenges, and Opportunities
1.3 Competitive Landscape Overview
1.4 Strategic Insights and Recommendations
2 RESEARCH FRAMEWORK
2.1 Study Objectives and Scope
2.2 Stakeholder Analysis
2.3 Research Assumptions and Limitations
2.4 Research Methodology
2.4.1 Data Collection (Primary and Secondary)
2.4.2 Data Modeling and Estimation Techniques
2.4.3 Data Validation and Triangulation
2.4.4 Analytical and Forecasting Approach
3 MARKET DYNAMICS AND TREND ANALYSIS
3.1 Market Definition and Structure
3.2 Key Market Drivers
3.3 Market Restraints and Challenges
3.4 Growth Opportunities and Investment Hotspots
3.5 Industry Threats and Risk Assessment
3.6 Technology and Innovation Landscape
3.7 Emerging and High-Growth Markets
3.8 Regulatory and Policy Environment
3.9 Impact of COVID-19 and Recovery Outlook
4 COMPETITIVE AND STRATEGIC ASSESSMENT
4.1 Porter's Five Forces Analysis
4.1.1 Supplier Bargaining Power
4.1.2 Buyer Bargaining Power
4.1.3 Threat of Substitutes
4.1.4 Threat of New Entrants
4.1.5 Competitive Rivalry
4.2 Market Share Analysis of Key Players
4.3 Product Benchmarking and Performance Comparison
5 GLOBAL SOIL MOISTURE INTELLIGENCE MARKET, BY TECHNOLOGY
5.1 Dielectric Sensors
5.2 Tensiometers
5.3 Capacitance Sensors
5.4 Neutron Sensors
5.5 Remote Sensing
5.6 Other Technologies
6 GLOBAL SOIL MOISTURE INTELLIGENCE MARKET, BY SOIL DEPTH
6.1 Surface
6.2 Shallow
6.3 Root Zone
6.4 Deep Soil
6.5 Multi-Depth
6.6 Other Soil Depths
7 GLOBAL SOIL MOISTURE INTELLIGENCE MARKET, BY DATA MODE
7.1 Point Data
7.2 Field Maps
7.3 Time Series
7.4 Forecast Data
7.5 Real-Time Data
7.6 Other Data Modes
8 GLOBAL SOIL MOISTURE INTELLIGENCE MARKET, BY INTELLIGENCE OUTPUT
8.1 Moisture Mapping
8.2 Moisture Forecasting
8.3 Irrigation Alerts
8.4 Water Stress Detection
8.5 Water Balance
8.6 Other Intelligence Outputs
9 GLOBAL SOIL MOISTURE INTELLIGENCE MARKET, BY END USER
9.1 Farmers
9.2 Irrigation Providers
9.3 Agribusinesses
9.4 Research Institutions
9.5 Government Agencies
9.6 Other End Users
10 GLOBAL SOIL MOISTURE INTELLIGENCE MARKET, BY GEOGRAPHY
10.1 North America
10.1.1 United States
10.1.2 Canada
10.1.3 Mexico
10.2 Europe
10.2.1 United Kingdom
10.2.2 Germany
10.2.3 France
10.2.4 Italy
10.2.5 Spain
10.2.6 Netherlands
10.2.7 Belgium
10.2.8 Sweden
10.2.9 Switzerland
10.2.10 Poland
10.2.11 Rest of Europe
10.3 Asia Pacific
10.3.1 China
10.3.2 Japan
10.3.3 India
10.3.4 South Korea
10.3.5 Australia
10.3.6 Indonesia
10.3.7 Thailand
10.3.8 Malaysia
10.3.9 Singapore
10.3.10 Vietnam
10.3.11 Rest of Asia Pacific
10.4 South America
10.4.1 Brazil
10.4.2 Argentina
10.4.3 Colombia
10.4.4 Chile
10.4.5 Peru
10.4.6 Rest of South America
10.5 Rest of the World (RoW)
10.5.1 Middle East
10.5.1.1 Saudi Arabia
10.5.1.2 United Arab Emirates
10.5.1.3 Qatar
10.5.1.4 Israel
10.5.1.5 Rest of Middle East
10.5.2 Africa
10.5.2.1 South Africa
10.5.2.2 Egypt
10.5.2.3 Morocco
10.5.2.4 Rest of Africa
11 STRATEGIC MARKET INTELLIGENCE
11.1 Industry Value Network and Supply Chain Assessment
11.2 White-Space and Opportunity Mapping
11.3 Product Evolution and Market Life Cycle Analysis
11.4 Channel, Distributor, and Go-to-Market Assessment
12 INDUSTRY DEVELOPMENTS AND STRATEGIC INITIATIVES
12.1 Mergers and Acquisitions
12.2 Partnerships, Alliances, and Joint Ventures
12.3 New Product Launches and Certifications
12.4 Capacity Expansion and Investments
12.5 Other Strategic Initiatives
13 COMPANY PROFILES
13.1 John Deere
13.2 Trimble Inc.
13.3 Topcon Corporation
13.4 Valmont Industries, Inc.
13.5 Netafim Ltd.
13.6 Arable Labs, Inc.
13.7 Irrometer Company, Inc.
13.8 METER Group, Inc.
13.9 Campbell Scientific, Inc.
13.10 Stevens Water Monitoring Systems, Inc.
13.11 Acclima, Inc.
13.12 Sentek Pty Ltd.
13.13 Verdi Expeditions, Inc.
13.14 Planet Labs PBC
13.15 Deveron Corp.
1.1 Market Snapshot and Key Highlights
1.2 Growth Drivers, Challenges, and Opportunities
1.3 Competitive Landscape Overview
1.4 Strategic Insights and Recommendations
2 RESEARCH FRAMEWORK
2.1 Study Objectives and Scope
2.2 Stakeholder Analysis
2.3 Research Assumptions and Limitations
2.4 Research Methodology
2.4.1 Data Collection (Primary and Secondary)
2.4.2 Data Modeling and Estimation Techniques
2.4.3 Data Validation and Triangulation
2.4.4 Analytical and Forecasting Approach
3 MARKET DYNAMICS AND TREND ANALYSIS
3.1 Market Definition and Structure
3.2 Key Market Drivers
3.3 Market Restraints and Challenges
3.4 Growth Opportunities and Investment Hotspots
3.5 Industry Threats and Risk Assessment
3.6 Technology and Innovation Landscape
3.7 Emerging and High-Growth Markets
3.8 Regulatory and Policy Environment
3.9 Impact of COVID-19 and Recovery Outlook
4 COMPETITIVE AND STRATEGIC ASSESSMENT
4.1 Porter's Five Forces Analysis
4.1.1 Supplier Bargaining Power
4.1.2 Buyer Bargaining Power
4.1.3 Threat of Substitutes
4.1.4 Threat of New Entrants
4.1.5 Competitive Rivalry
4.2 Market Share Analysis of Key Players
4.3 Product Benchmarking and Performance Comparison
5 GLOBAL SOIL MOISTURE INTELLIGENCE MARKET, BY TECHNOLOGY
5.1 Dielectric Sensors
5.2 Tensiometers
5.3 Capacitance Sensors
5.4 Neutron Sensors
5.5 Remote Sensing
5.6 Other Technologies
6 GLOBAL SOIL MOISTURE INTELLIGENCE MARKET, BY SOIL DEPTH
6.1 Surface
6.2 Shallow
6.3 Root Zone
6.4 Deep Soil
6.5 Multi-Depth
6.6 Other Soil Depths
7 GLOBAL SOIL MOISTURE INTELLIGENCE MARKET, BY DATA MODE
7.1 Point Data
7.2 Field Maps
7.3 Time Series
7.4 Forecast Data
7.5 Real-Time Data
7.6 Other Data Modes
8 GLOBAL SOIL MOISTURE INTELLIGENCE MARKET, BY INTELLIGENCE OUTPUT
8.1 Moisture Mapping
8.2 Moisture Forecasting
8.3 Irrigation Alerts
8.4 Water Stress Detection
8.5 Water Balance
8.6 Other Intelligence Outputs
9 GLOBAL SOIL MOISTURE INTELLIGENCE MARKET, BY END USER
9.1 Farmers
9.2 Irrigation Providers
9.3 Agribusinesses
9.4 Research Institutions
9.5 Government Agencies
9.6 Other End Users
10 GLOBAL SOIL MOISTURE INTELLIGENCE MARKET, BY GEOGRAPHY
10.1 North America
10.1.1 United States
10.1.2 Canada
10.1.3 Mexico
10.2 Europe
10.2.1 United Kingdom
10.2.2 Germany
10.2.3 France
10.2.4 Italy
10.2.5 Spain
10.2.6 Netherlands
10.2.7 Belgium
10.2.8 Sweden
10.2.9 Switzerland
10.2.10 Poland
10.2.11 Rest of Europe
10.3 Asia Pacific
10.3.1 China
10.3.2 Japan
10.3.3 India
10.3.4 South Korea
10.3.5 Australia
10.3.6 Indonesia
10.3.7 Thailand
10.3.8 Malaysia
10.3.9 Singapore
10.3.10 Vietnam
10.3.11 Rest of Asia Pacific
10.4 South America
10.4.1 Brazil
10.4.2 Argentina
10.4.3 Colombia
10.4.4 Chile
10.4.5 Peru
10.4.6 Rest of South America
10.5 Rest of the World (RoW)
10.5.1 Middle East
10.5.1.1 Saudi Arabia
10.5.1.2 United Arab Emirates
10.5.1.3 Qatar
10.5.1.4 Israel
10.5.1.5 Rest of Middle East
10.5.2 Africa
10.5.2.1 South Africa
10.5.2.2 Egypt
10.5.2.3 Morocco
10.5.2.4 Rest of Africa
11 STRATEGIC MARKET INTELLIGENCE
11.1 Industry Value Network and Supply Chain Assessment
11.2 White-Space and Opportunity Mapping
11.3 Product Evolution and Market Life Cycle Analysis
11.4 Channel, Distributor, and Go-to-Market Assessment
12 INDUSTRY DEVELOPMENTS AND STRATEGIC INITIATIVES
12.1 Mergers and Acquisitions
12.2 Partnerships, Alliances, and Joint Ventures
12.3 New Product Launches and Certifications
12.4 Capacity Expansion and Investments
12.5 Other Strategic Initiatives
13 COMPANY PROFILES
13.1 John Deere
13.2 Trimble Inc.
13.3 Topcon Corporation
13.4 Valmont Industries, Inc.
13.5 Netafim Ltd.
13.6 Arable Labs, Inc.
13.7 Irrometer Company, Inc.
13.8 METER Group, Inc.
13.9 Campbell Scientific, Inc.
13.10 Stevens Water Monitoring Systems, Inc.
13.11 Acclima, Inc.
13.12 Sentek Pty Ltd.
13.13 Verdi Expeditions, Inc.
13.14 Planet Labs PBC
13.15 Deveron Corp.
LIST OF TABLES
Table 1 Global Soil Moisture Intelligence Market Outlook, By Region (2023-2034) ($MN)
Table 2 Global Soil Moisture Intelligence Market, By Technology (2023–2034) ($MN)
Table 3 Global Soil Moisture Intelligence Market, By Dielectric Sensors (2023–2034) ($MN)
Table 4 Global Soil Moisture Intelligence Market, By Tensiometers (2023–2034) ($MN)
Table 5 Global Soil Moisture Intelligence Market, By Capacitance Sensors (2023–2034) ($MN)
Table 6 Global Soil Moisture Intelligence Market, By Neutron Sensors (2023–2034) ($MN)
Table 7 Global Soil Moisture Intelligence Market, By Remote Sensing (2023–2034) ($MN)
Table 8 Global Soil Moisture Intelligence Market, By Other Technologies (2023–2034) ($MN)
Table 9 Global Soil Moisture Intelligence Market, By Soil Depth (2023–2034) ($MN)
Table 10 Global Soil Moisture Intelligence Market, By Surface (2023–2034) ($MN)
Table 11 Global Soil Moisture Intelligence Market, By Shallow (2023–2034) ($MN)
Table 12 Global Soil Moisture Intelligence Market, By Root Zone (2023–2034) ($MN)
Table 13 Global Soil Moisture Intelligence Market, By Deep Soil (2023–2034) ($MN)
Table 14 Global Soil Moisture Intelligence Market, By Multi-Depth (2023–2034) ($MN)
Table 15 Global Soil Moisture Intelligence Market, By Other Soil Depths (2023–2034) ($MN)
Table 16 Global Soil Moisture Intelligence Market, By Data Mode (2023–2034) ($MN)
Table 17 Global Soil Moisture Intelligence Market, By Point Data (2023–2034) ($MN)
Table 18 Global Soil Moisture Intelligence Market, By Field Maps (2023–2034) ($MN)
Table 19 Global Soil Moisture Intelligence Market, By Time Series (2023–2034) ($MN)
Table 20 Global Soil Moisture Intelligence Market, By Forecast Data (2023–2034) ($MN)
Table 21 Global Soil Moisture Intelligence Market, By Real-Time Data (2023–2034) ($MN)
Table 22 Global Soil Moisture Intelligence Market, By Other Data Modes (2023–2034) ($MN)
Table 23 Global Soil Moisture Intelligence Market, By Intelligence Output (2023–2034) ($MN)
Table 24 Global Soil Moisture Intelligence Market, By Moisture Mapping (2023–2034) ($MN)
Table 25 Global Soil Moisture Intelligence Market, By Moisture Forecasting (2023–2034) ($MN)
Table 26 Global Soil Moisture Intelligence Market, By Irrigation Alerts (2023–2034) ($MN)
Table 27 Global Soil Moisture Intelligence Market, By Water Stress Detection (2023–2034) ($MN)
Table 28 Global Soil Moisture Intelligence Market, By Water Balance (2023–2034) ($MN)
Table 29 Global Soil Moisture Intelligence Market, By Other Intelligence Outputs (2023–2034) ($MN)
Table 30 Global Soil Moisture Intelligence Market, By End User (2023–2034) ($MN)
Table 31 Global Soil Moisture Intelligence Market, By Farmers (2023–2034) ($MN)
Table 32 Global Soil Moisture Intelligence Market, By Irrigation Providers (2023–2034) ($MN)
Table 33 Global Soil Moisture Intelligence Market, By Agribusinesses (2023–2034) ($MN)
Table 34 Global Soil Moisture Intelligence Market, By Research Institutions (2023–2034) ($MN)
Table 35 Global Soil Moisture Intelligence Market, By Government Agencies (2023–2034) ($MN)
Table 36 Global Soil Moisture Intelligence Market, By Other End Users (2023–2034) ($MN)
Note: Tables for North America, Europe, APAC, South America, and Rest of the World (RoW) are also represented in the same manner as above.
Table 1 Global Soil Moisture Intelligence Market Outlook, By Region (2023-2034) ($MN)
Table 2 Global Soil Moisture Intelligence Market, By Technology (2023–2034) ($MN)
Table 3 Global Soil Moisture Intelligence Market, By Dielectric Sensors (2023–2034) ($MN)
Table 4 Global Soil Moisture Intelligence Market, By Tensiometers (2023–2034) ($MN)
Table 5 Global Soil Moisture Intelligence Market, By Capacitance Sensors (2023–2034) ($MN)
Table 6 Global Soil Moisture Intelligence Market, By Neutron Sensors (2023–2034) ($MN)
Table 7 Global Soil Moisture Intelligence Market, By Remote Sensing (2023–2034) ($MN)
Table 8 Global Soil Moisture Intelligence Market, By Other Technologies (2023–2034) ($MN)
Table 9 Global Soil Moisture Intelligence Market, By Soil Depth (2023–2034) ($MN)
Table 10 Global Soil Moisture Intelligence Market, By Surface (2023–2034) ($MN)
Table 11 Global Soil Moisture Intelligence Market, By Shallow (2023–2034) ($MN)
Table 12 Global Soil Moisture Intelligence Market, By Root Zone (2023–2034) ($MN)
Table 13 Global Soil Moisture Intelligence Market, By Deep Soil (2023–2034) ($MN)
Table 14 Global Soil Moisture Intelligence Market, By Multi-Depth (2023–2034) ($MN)
Table 15 Global Soil Moisture Intelligence Market, By Other Soil Depths (2023–2034) ($MN)
Table 16 Global Soil Moisture Intelligence Market, By Data Mode (2023–2034) ($MN)
Table 17 Global Soil Moisture Intelligence Market, By Point Data (2023–2034) ($MN)
Table 18 Global Soil Moisture Intelligence Market, By Field Maps (2023–2034) ($MN)
Table 19 Global Soil Moisture Intelligence Market, By Time Series (2023–2034) ($MN)
Table 20 Global Soil Moisture Intelligence Market, By Forecast Data (2023–2034) ($MN)
Table 21 Global Soil Moisture Intelligence Market, By Real-Time Data (2023–2034) ($MN)
Table 22 Global Soil Moisture Intelligence Market, By Other Data Modes (2023–2034) ($MN)
Table 23 Global Soil Moisture Intelligence Market, By Intelligence Output (2023–2034) ($MN)
Table 24 Global Soil Moisture Intelligence Market, By Moisture Mapping (2023–2034) ($MN)
Table 25 Global Soil Moisture Intelligence Market, By Moisture Forecasting (2023–2034) ($MN)
Table 26 Global Soil Moisture Intelligence Market, By Irrigation Alerts (2023–2034) ($MN)
Table 27 Global Soil Moisture Intelligence Market, By Water Stress Detection (2023–2034) ($MN)
Table 28 Global Soil Moisture Intelligence Market, By Water Balance (2023–2034) ($MN)
Table 29 Global Soil Moisture Intelligence Market, By Other Intelligence Outputs (2023–2034) ($MN)
Table 30 Global Soil Moisture Intelligence Market, By End User (2023–2034) ($MN)
Table 31 Global Soil Moisture Intelligence Market, By Farmers (2023–2034) ($MN)
Table 32 Global Soil Moisture Intelligence Market, By Irrigation Providers (2023–2034) ($MN)
Table 33 Global Soil Moisture Intelligence Market, By Agribusinesses (2023–2034) ($MN)
Table 34 Global Soil Moisture Intelligence Market, By Research Institutions (2023–2034) ($MN)
Table 35 Global Soil Moisture Intelligence Market, By Government Agencies (2023–2034) ($MN)
Table 36 Global Soil Moisture Intelligence Market, By Other End Users (2023–2034) ($MN)
Note: Tables for North America, Europe, APAC, South America, and Rest of the World (RoW) are also represented in the same manner as above.
More Publications
Hydroponics Nutrient Market Forecasts to 2034 – Global Analysis By Type (Macronutrients, and Micronutrients), Product Type (Synthetic Nutrients, Organic Nutrients, and Hybrid/Custom Blends), Form, Crop Type, Application System, Distribution Channel, End User, and By Geography
US$ 4,150.00
March 2026
200 pages
Agricultural Carbon Monitoring Market Forecasts to 2034 – Global Analysis By Carbon Pool (Soil Carbon, Biomass Carbon, Crop Carbon, Residue Carbon and Other Carbon Pools), Measurement Method, Data Source, Monitoring Output, End User, and Geography
US$ 4,150.00
September 2026
200 pages
Precision Seeding Market Forecasts to 2034 – Global Analysis By Product Type (Air Seeders, Planters, Seed Drills, Variable Rate Seeding Systems and Other Product Types), Seeding Mechanism, Technology, Application, End User and Geography
US$ 4,150.00
June 2026
200 pages
Vertical Berry Farming Market Forecasts to 2034 – Global Analysis By Berry Type (Strawberries, Blueberries, Raspberries, Blackberries, and Exotic Berries), Farming Technique, Component, Automation Level, Facility Type, Application, End User, Distribution Channel, and By Geography
US$ 4,150.00
April 2026
200 pages
Crop Carbon Management Market Forecasts to 2034 – Global Analysis By Management Practice (Cover Cropping, Reduced Tillage, Crop Rotation, Organic Inputs, Precision Fertilization and Other Management Practices), Outcome, Crop Type, Management Approach, End User, and Geography
US$ 4,150.00
September 2026
200 pages