Drone-Based Soil Moisture Mapping Market 2034

Drone-Based Soil Moisture Mapping Market 2034

Segments - by Component (Hardware, Software, Services), by Drone Type (Fixed-Wing, Rotary-Wing, Hybrid), by Sensor Type (Optical Sensors, Thermal Sensors, Multispectral Sensors, Others), by Application (Agriculture, Environmental Monitoring, Forestry, Research, Others), by End-User (Farmers, Research Institutes, Government Agencies, Agribusinesses, Others)

https://growthmarketreports.com/Anuradha
Author : Anuradha B. More
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Fact-checked by : Vaibhav Chandola
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Editor : Shruti Bhat

Last Updated : Jun, 2026 | Report ID :FB-12481 | 5.0 Rating | 52 Reviews | 297 Pages | Format : Docx PDF

Report Description

This report is updated with the latest market data and insights as of June 2026. Base year: 2025  |  Forecast period: 2026-2034


Drone-Based Soil Moisture Mapping Market Outlook

According to our latest research, the global Drone-Based Soil Moisture Mapping market size reached USD 1.62 billion in 2025, with a robust compound annual growth rate (CAGR) of 18.7% projected from 2026 to 2034. The market is forecasted to attain a value of USD 8.02 billion by 2034. The primary growth factor driving this surge is the accelerating adoption of precision agriculture technologies, which demand accurate and real-time soil moisture data for optimized crop management and sustainable land use practices across increasingly climate-stressed agricultural regions worldwide.

Global Drone-Based Soil Moisture Mapping Market Size Forecast 2025-2034, USD Billion

The growth of the Drone-Based Soil Moisture Mapping market is primarily fueled by the global push toward sustainable agriculture and the urgent need for efficient water resource management. With climate change intensifying the unpredictability of rainfall patterns and increasing the frequency and severity of droughts, farmers and agribusinesses are turning to advanced technologies like drone-based soil moisture mapping to make informed, data-driven irrigation decisions. The integration of drones equipped with sophisticated multispectral, thermal, and optical sensors enables real-time monitoring of soil moisture variability at field scale, thereby reducing water wastage and enhancing crop yields. This technological evolution not only supports environmental sustainability but also addresses the economic concerns of the agricultural sector by optimizing input costs and maximizing output per unit of water consumed.

Another significant growth driver is the rapid advancement in drone hardware and sensor technologies, making high-resolution soil moisture mapping more accessible and cost-effective than at any previous point. Innovations in lightweight multispectral, thermal, and hyperspectral sensor payloads have substantially improved the accuracy and spatial granularity of soil moisture data collected during drone missions. This advancement, combined with the proliferation of user-friendly cloud-based software platforms, has lowered the entry barrier for small and medium-sized enterprises and individual farmers. Supportive government policies, precision agriculture subsidy programs, and increasing venture capital investments in agri-tech startups are fostering the adoption of drone-based soil moisture mapping solutions across both developed and emerging economies. These developments complement related precision agriculture applications, such as drone-based precision irrigation auditing, which together are building a comprehensive digital farming ecosystem. The convergence of these factors is expected to sustain the market's high growth trajectory through 2034.

The expanding application of drone-based soil moisture mapping beyond agriculture is further catalyzing market growth. Environmental monitoring agencies, forestry departments, and research institutions are leveraging this technology for ecosystem management, reforestation projects, and climate research. The ability of drones to cover large and often inaccessible areas with minimal human intervention makes them invaluable tools for large-scale environmental monitoring initiatives. Moreover, the integration of artificial intelligence and machine learning algorithms into data analytics platforms is enabling more sophisticated interpretation of soil moisture patterns, anomaly detection, and predictive modeling, thereby expanding potential use cases and driving demand across diverse end-user segments. Complementary applications such as drone-enabled soil salinity mapping are increasingly being deployed alongside moisture surveys to give land managers a fuller picture of soil health.

From a regional perspective, North America currently dominates the Drone-Based Soil Moisture Mapping market, accounting for approximately 37.8% of global revenue in 2025, generating around USD 613 million. This leadership position is attributed to advanced agricultural practices, high technology adoption rates, and strong governmental support for precision farming initiatives. However, the Asia Pacific region is expected to witness the highest CAGR of 21.4% during the forecast period, propelled by the rapid modernization of agriculture in countries such as China, India, and Australia, as well as increasing government investments in smart farming infrastructure. Europe also represents a significant market, driven by stringent environmental regulations, EU Common Agricultural Policy incentives, and a strong institutional focus on sustainable land management.

Component Analysis

The Component segment of the Drone-Based Soil Moisture Mapping market is categorized into hardware, software, and services, each playing a pivotal role in the overall ecosystem. Hardware components, including drone platforms, sensor payloads, and related field equipment, constitute the largest share of the market at approximately 54.2% in 2025, as these are essential for data acquisition and field operations. The growing demand for advanced sensors and robust drone platforms is driving innovation among manufacturers, resulting in improved flight endurance, sensor accuracy, and real-time data transmission capabilities. As the market matures, there is a noticeable shift toward modular hardware designs that facilitate easy sensor upgrades and field maintenance, further enhancing the value proposition for end-users across all scales of operation.

Drone-Based Soil Moisture Mapping Market Share by Component 2025

The software sub-segment, representing approximately 27.6% of the market in 2025, is witnessing rapid growth driven by the increasing need for sophisticated data analytics and geospatial visualization tools. Modern software platforms are designed to process large volumes of multispectral and thermal sensor data, transforming raw imagery into actionable agronomic insights for farmers, researchers, and environmental agencies. The integration of artificial intelligence and machine learning is enabling predictive analytics, automated anomaly detection, and intelligent reporting, thereby streamlining decision-making. Cloud-based software solutions are gaining strong traction due to their scalability, ease of remote access, and collaborative multi-user features, making them particularly attractive to large agribusinesses and government agencies managing extensive agricultural landscapes. Alongside soil moisture platforms, farmers and agronomists are also turning to solutions for crop biomass estimation to build a richer digital model of field productivity.

Services form a crucial component of the market, encompassing consulting, data analysis, training, maintenance, and custom mapping solutions, accounting for approximately 18.2% of market revenue in 2025. As drone-based soil moisture mapping technology becomes more sophisticated, the demand for specialized end-to-end services is rising. Service providers are increasingly offering complete solutions, from initial site assessment and mission planning to post-flight data analysis, agronomic interpretation, and actionable reporting. This trend is particularly evident among small and medium-sized enterprises and individual farmers who may lack the technical expertise or capital to manage drone operations in-house. The emphasis on value-added managed services is driving recurring revenue streams and fostering long-term customer relationships for leading market participants.

Overall, the synergy between hardware, software, and services is critical for the successful deployment and sustained adoption of drone-based soil moisture mapping solutions. Market players are focusing on developing tightly integrated solution stacks that offer seamless interoperability between components, ensuring a user-friendly experience and maximizing return on investment. The continuous evolution of each component segment, particularly the accelerating improvement of AI-powered software platforms, is expected to create new opportunities for innovation and market expansion throughout the 2026-2034 forecast period.

Report Scope

Attributes Details
Report Title Drone-Based Soil Moisture Mapping Market Research Report 2034
By Component Hardware, Software, Services
By Drone Type Fixed-Wing, Rotary-Wing, Hybrid
By Sensor Type Optical Sensors, Thermal Sensors, Multispectral Sensors, Others
By Application Agriculture, Environmental Monitoring, Forestry, Research, Others
By End-User Farmers, Research Institutes, Government Agencies, Agribusinesses, Others
Regions Covered North America, Europe, APAC, Latin America, MEA
Base Year 2025
Historic Data 2019-2024
Forecast Period 2026-2034
Number of Pages 297
Number of Tables & Figures 262
Customization Available Yes, the report can be customized as per your need.

Drone Type Analysis

The Drone Type segment is classified into fixed-wing, rotary-wing, and hybrid drones, each offering unique advantages for soil moisture mapping applications. Fixed-wing drones are favored for large-scale agricultural and environmental monitoring projects due to their extended flight times and ability to cover vast areas in a single mission, often exceeding several hundred hectares per flight. These drones are particularly suitable for mapping extensive farmlands, forests, and remote landscapes where operational efficiency and cost per hectare are paramount considerations. The demand for fixed-wing platforms is further supported by advancements in composite lightweight materials and high-density battery technologies, which have enhanced endurance and effective payload capacity.

Rotary-wing drones, including quadcopters and hexacopters, are widely adopted for their maneuverability and ease of use in smaller or irregularly shaped fields. These drones are ideal for precision agriculture applications where detailed soil moisture data is required at a granular level across complex field geometries. Their ability to hover and perform vertical take-offs and landings makes them suitable for mapping areas with challenging terrain, tall vegetation, or physical obstacles. The increasing availability of affordable rotary-wing platforms equipped with high-resolution multispectral sensors has democratized access to soil moisture mapping technology, enabling smallholder farmers and regional research institutions to leverage its benefits without prohibitive capital outlay.

Hybrid drones, which combine the vertical take-off and landing capability of rotary-wing models with the long-range cruising efficiency of fixed-wing platforms, are emerging as a highly versatile solution for diverse and demanding mapping requirements. These platforms can operate across varied environments and are particularly valuable for applications requiring both detailed site-specific data collection and broad-area coverage in a single mission. The development and commercialization of hybrid drones reflect the market's response to evolving end-user requirements for flexible, cost-effective solutions that can adapt to different operational scenarios without the need to maintain separate fleet types.

The choice of drone type is influenced by factors such as field size, topography, local regulatory airspace rules, budget constraints, and the specific objectives of the mapping project. As technological advancements continue to enhance the performance and affordability of all drone categories, end-users are increasingly able to select platforms that optimally align with their operational needs and economic realities. The ongoing innovation in autonomous flight control, obstacle avoidance, and multi-sensor payload integration is expected to further drive market growth and expand the range of viable applications for drone-based soil moisture mapping through 2034.

Sensor Type Analysis

The Sensor Type segment encompasses optical sensors, thermal sensors, multispectral sensors, and other specialized sensor systems, each contributing distinct and complementary data streams to soil moisture mapping workflows. Optical sensors are commonly used for capturing high-resolution RGB imagery and assessing surface characteristics such as vegetation cover, soil color, and surface texture. These sensors provide valuable contextual information that can be integrated with spectral data sources to enhance the overall accuracy of soil moisture assessments. The widespread commercial availability and declining cost of optical sensors have made them a standard component of most drone-based mapping solution packages.

Thermal sensors play a critical role in detecting soil moisture variations by measuring surface temperature differentials across the land surface. Moist soils and well-irrigated crop zones typically exhibit lower surface temperatures than dry areas, making thermal imaging an effective proxy indicator for moisture distribution. These sensors are particularly effective in identifying localized areas of water stress or excess saturation, which are directly actionable for irrigation planning and drought response management. Thermal imaging technology has advanced significantly, with modern sensors delivering higher thermal sensitivity, improved spatial resolution, and substantially reduced unit costs compared to systems available even five years ago.

Multispectral sensors are at the forefront of precision agriculture-focused drone payloads, enabling the simultaneous capture of data across multiple carefully selected wavelength bands beyond the visible spectrum. These sensors facilitate detailed analysis of plant health indicators, soil composition proxies, and moisture content by detecting subtle and characteristic changes in reflectance patterns across wavelengths such as near-infrared, red-edge, and shortwave infrared. The use of multispectral data allows for the generation of scientifically robust soil moisture maps and supports advanced agronomic analytics including normalized difference vegetation index calculations, canopy water content indices, and machine learning-based soil health scoring. Related services such as comprehensive drone-based crop nutrient mapping frequently utilize the same multispectral sensor payload, improving the economics of precision agriculture data collection for farmers.

Other sensor types, including hyperspectral sensors and lightweight ground-penetrating radar payloads, are being actively explored and commercialized for specialized soil moisture mapping applications. Hyperspectral sensors offer fine-grained spectral data across hundreds of contiguous narrow bands, enabling detailed mineralogical and soil water content analysis. Ground-penetrating radar offers the unique advantage of subsurface moisture profiling rather than surface-only measurements. While adoption of these advanced sensor types remains limited by higher unit costs and greater processing complexity, ongoing advances in miniaturization and signal processing are expected to bring these capabilities into mainstream commercial deployment during the forecast period.

Application Analysis

The Application segment of the Drone-Based Soil Moisture Mapping market includes agriculture, environmental monitoring, forestry, research, and other specialized use cases. Agriculture remains the dominant application area, accounting for over 56% of the market share in 2025. Farmers and agribusinesses leverage drone-based mapping to optimize irrigation schedules, enhance crop yields, reduce water and energy inputs, and comply with sustainability reporting requirements from retailers and investors. The ability to generate real-time, high-resolution soil moisture maps directly enables variable-rate irrigation programming and precision agriculture practices that improve resource efficiency at the field level.

Environmental monitoring agencies are increasingly adopting drone-based soil moisture mapping for watershed management, flood risk assessment, and habitat conservation projects. The technology's ability to provide timely and spatially accurate data over large and physically inaccessible areas makes it invaluable for monitoring soil moisture trends, detecting drought onset signals, and supporting national climate adaptation strategies. In regions prone to extreme hydrological events, drone-based mapping is becoming an essential tool for disaster preparedness, early warning systems, and post-event recovery assessment. These applications increasingly intersect with broader ecological studies, where practitioners also deploy tools for comprehensive aerial vegetation surveys to assess ecosystem response to moisture variability.

Forestry applications are gaining meaningful traction, with drone-based soil moisture mapping being used for forest health assessment, reforestation success monitoring, and wildfire risk mitigation. The technology enables forestry managers to survey moisture conditions across vast forested landscapes, identify zones of abnormal dryness that elevate fire risk, and implement targeted water management interventions to promote ecosystem resilience and biodiversity. The growing international emphasis on sustainable forest management, carbon credit verification, and native vegetation restoration is expected to drive further adoption of drone-based mapping solutions in this sector through the forecast period.

Research institutions and universities are utilizing drone-based soil moisture mapping for a wide range of scientific studies spanning soil science, catchment hydrology, and climate dynamics research. The ability to collect high-frequency, spatially explicit field datasets supports advanced computational modeling and facilitates the development of new insights into soil-water dynamics and land-atmosphere interactions. Other emerging applications, such as mining site rehabilitation monitoring, urban green infrastructure management, and linear infrastructure slope stability assessment, are also developing as growth areas, reflecting the technology's broad versatility beyond traditional agricultural uses.

End-User Analysis

The End-User segment encompasses farmers, research institutes, government agencies, agribusinesses, and other stakeholders who derive value from drone-based soil moisture mapping. Farmers represent the largest end-user group, as they directly apply soil moisture data to improve irrigation efficiency, reduce input costs, improve crop quality, and document sustainable farming practices. The increasing availability of affordable entry-level drone solutions and intuitive software platforms is empowering both smallholder and commercial farmers to integrate advanced mapping technologies into their routine operations without requiring deep technical expertise.

Research institutes are at the forefront of technology adoption and methodological innovation, utilizing drone-based soil moisture mapping for experimental field studies, longitudinal monitoring programs, and applied academic research. These institutions play a critical role in advancing the scientific understanding of soil-water interactions, developing and publishing new analytical protocols, and rigorously validating the effectiveness of emerging commercial sensor systems. Their involvement is instrumental in building market credibility and disseminating evidence-based best practices across the broader agricultural, environmental, and geospatial science communities.

Government agencies are key end-users, particularly in regions where water scarcity, land degradation, and food security are pressing policy concerns. These agencies deploy drone-based mapping solutions for land management planning, water resource allocation, agricultural subsidy verification, and evidence-based policy development. By providing accurate and temporally responsive soil moisture data, drones support the transition to evidence-based governance of land and water resources. The increasing focus on nationally determined contributions to climate agreements, food system resilience, and sustainable development goals is expected to drive further government procurement of drone-based mapping services through 2034.

Agribusinesses, including large-scale farming enterprises, agricultural cooperatives, crop insurance companies, and agri-tech solution providers, are increasingly adopting drone-based soil moisture mapping to optimize operations, manage risk, and gain competitive advantage. These organizations integrate mapping data into enterprise digital agriculture platforms, enabling real-time field monitoring, predictive crop performance modeling, and automated irrigation decision support. The trend toward fully data-driven agricultural supply chains is expected to accelerate the adoption of drone-based mapping solutions among agribusinesses, creating new opportunities for market growth, platform integration partnerships, and adjacent service offerings.

Opportunities & Threats

The Drone-Based Soil Moisture Mapping market presents significant opportunities driven by the ongoing digital transformation of agriculture and the intensifying global emphasis on sustainable and climate-resilient land management. The integration of drones with next-generation sensor technologies, edge computing, and artificial intelligence is enabling the development of autonomous mapping systems that offer unprecedented accuracy, operational efficiency, and decision-support capability. As governments and international development organizations increasingly prioritize food security investment and climate adaptation finance, there is a corresponding and growing demand for technologies that support efficient water use, yield stability, and landscape resilience. Market players have the opportunity to capitalize on these structural tailwinds by offering innovative, scalable products and services tailored to the diverse needs of end-users ranging from smallholder farmers in Southeast Asia to large agribusinesses in North America.

Another major opportunity lies in the expansion of drone-based soil moisture mapping into new application verticals and geographic markets. Emerging economies in Asia Pacific, Latin America, and Sub-Saharan Africa are experiencing rapid agricultural modernization and infrastructure investment, creating fertile conditions for the adoption of precision farming technologies at scale. The application of drone-based mapping in sectors beyond agriculture, including forestry carbon monitoring, mine rehabilitation, and urban hydrology, is opening diversified revenue streams. Collaborations between technology providers, academic institutions, and government agencies are expected to accelerate the diffusion and commercial validation of drone-based solutions and drive value chain innovation. Related precision agriculture disciplines, including the emerging science of high-resolution orchard canopy analysis, are increasingly being bundled with soil moisture mapping services to offer comprehensive crop intelligence packages.

Despite the promising outlook, the market faces meaningful restraining factors. Regulatory complexity remains a significant barrier, with fragmented national and subnational rules governing commercial drone operations, data privacy, and airspace access creating compliance uncertainty for market participants operating across multiple jurisdictions. High initial investment costs for professional-grade drone platforms and multi-sensor payloads can still be prohibitive for smallholder farmers in lower-income markets, even as hardware prices trend downward. Technical skill gaps in drone operation, data processing, and agronomic interpretation of geospatial outputs may slow adoption in regions with limited agri-tech education infrastructure. Addressing these challenges will require coordinated efforts from industry stakeholders, regulators, financial institutions offering equipment financing, and educational bodies to promote regulatory harmonization, reduce total cost of ownership, and build practical user capacity across diverse markets.

Regional Outlook

In 2025, North America leads the Drone-Based Soil Moisture Mapping market with a revenue share of approximately USD 613 million, driven by the widespread adoption of precision agriculture, mature digital farming infrastructure, and robust governmental support through programs such as USDA precision agriculture initiatives and EPA environmental monitoring mandates. The United States continues to serve as a global hub for agri-tech innovation, with a dense ecosystem of startups, established technology companies, and well-capitalized venture investors driving continuous product development. Canada is also witnessing accelerating adoption, supported by federal and provincial funding for sustainable agriculture research and environmental monitoring. The region's high level of agricultural digital literacy and strong integration of farm management platforms with drone data systems is expected to sustain North America's leadership position throughout the 2026-2034 forecast period.

Drone-Based Soil Moisture Mapping Market Regional Share 2025

Asia Pacific is projected to register the highest regional CAGR of 21.4% from 2026 to 2034, with market revenues reaching approximately USD 412 million in 2025 and expected to surpass USD 2.42 billion by 2034. The rapid modernization of agriculture in China, India, and Australia is driving strong demand for advanced soil moisture mapping technologies, with government-sponsored smart farming programs in all three countries directly funding technology adoption. China's national drone industry policy and India's Digital Agriculture Mission are particularly significant catalysts for regional market expansion. The region's vast and highly diverse agricultural landscape, combined with increasing mobile and cloud infrastructure investment, presents substantial opportunities for market players to serve new customer segments.

Europe accounted for approximately USD 358 million in 2025, characterized by a strong regulatory and policy framework that incentivizes precision land management. Countries such as Germany, France, the Netherlands, and Spain are at the forefront of drone-based mapping adoption for agriculture, forestry, and environmental compliance monitoring. The European Union's Farm to Fork strategy, Green Deal commitments, and reformed Common Agricultural Policy eco-scheme payments are providing meaningful financial incentives for precision farming technology adoption, including drone-based soil health monitoring solutions. Latin America and the Middle East and Africa, while currently smaller markets at approximately USD 135 million and USD 104 million respectively in 2025, are demonstrating accelerating interest as awareness grows, drone regulations mature, and local service provider ecosystems develop to support end-user needs in those geographies.

Competitor Outlook

The competitive landscape of the Drone-Based Soil Moisture Mapping market in 2025 is characterized by a dynamic mix of established global technology providers, specialized agri-drone companies, advanced sensor manufacturers, and innovative software platform developers. Leading players are focusing on product innovation, strategic ecosystem partnerships, and geographic expansion to consolidate their market positions and capture new growth opportunities in emerging markets. The market is witnessing an accelerating trend toward vertical integration, with companies assembling end-to-end solution portfolios that span drone hardware, precision sensor payloads, cloud-based data analytics software, and managed agronomic services. This integrated approach enables providers to deliver comprehensive, outcome-focused solutions tailored to specific end-user segments, enhancing customer lifetime value and driving predictable recurring revenue from subscription software and service contracts.

Innovation remains the primary competitive differentiator, with companies investing substantially in research and development to enhance the performance, operational reliability, and total cost of ownership of their solutions. The integration of artificial intelligence, deep learning, and edge computing is enabling the development of autonomous intelligent mapping platforms capable of real-time soil moisture data processing and in-field analytics without dependence on cloud connectivity. Market leaders are also investing in user experience improvements through intuitive mobile interfaces, customizable agronomic dashboards, and API integration layers that connect soil moisture insights with irrigation control systems, farm management software, and agricultural ERP platforms. Interoperability and open data standards are becoming increasingly important competitive attributes as agribusiness customers demand seamless data flows across their digital agriculture technology stacks.

Strategic collaborations and partnerships are playing a crucial role in driving market growth and accelerating innovation cycles. Technology providers are partnering with seed companies, agrochemical firms, satellite data providers, and crop insurance companies to co-develop integrated agronomic intelligence services that leverage soil moisture data as a core input alongside weather, crop, and market information. Mergers and acquisitions are prevalent as companies seek to acquire complementary sensor technologies, expand geographic coverage, and access established customer relationships in new regional markets. The continued influx of growth equity and strategic corporate investment is fueling the expansion of technology-focused startups, maintaining a vibrant and competitive market ecosystem.

Major companies operating in the Drone-Based Soil Moisture Mapping market include DJI Innovations, which maintains global drone hardware leadership with agricultural-grade platforms widely deployed in commercial mapping operations. Trimble Inc. delivers comprehensive precision agriculture solutions that integrate drone-derived soil moisture data with its established geospatial and farm management technology ecosystem. AgEagle Aerial Systems Inc. specializes in purpose-built agricultural UAV platforms combined with analytics software. Parrot SA and its subsidiary senseFly offer fixed-wing and rotary-wing platforms with strong adoption in European and research market segments. Delair provides enterprise-grade fixed-wing UAV solutions with professional geospatial data processing capabilities. Sentera focuses on high-performance multispectral sensor systems engineered for agronomic field applications. DroneDeploy operates a leading cloud-based drone data platform supporting mapping, analytics, and collaborative reporting. Pix4D is recognized as a leading provider of photogrammetry and geospatial processing software integral to professional mapping workflows. MicaSense, now part of the broader precision agriculture sensor ecosystem, produces industry-standard multispectral sensor solutions widely regarded as a benchmark for agricultural remote sensing accuracy. Quantum Systems and Microdrones offer advanced hybrid and multi-rotor platforms respectively, serving enterprise and government clients with demanding operational requirements. Terra Drone Corporation is expanding rapidly across Asia Pacific and Middle East markets with a broad portfolio of drone solutions and data services. These companies are continuously innovating to address evolving customer requirements, and as demand for drone-based soil moisture mapping continues to grow strongly through 2034, the competitive landscape is expected to intensify further through both organic innovation and strategic market consolidation.

Key Players

  • DJI Innovations
  • Parrot SA
  • Trimble Inc.
  • AgEagle Aerial Systems Inc.
  • senseFly (Parrot Group)
  • Delair
  • AeroVironment Inc.
  • Sentera
  • DroneDeploy
  • Terra Drone Corporation
  • MicaSense (Agrosphere)
  • Yamaha Motor Corporation
  • Quantum Systems
  • Microdrones
  • Pix4D
  • Agremo
  • SlantRange
  • Skycatch Inc.

Segments

The Drone-Based Soil Moisture Mapping market has been segmented on the basis of

Component

  • Hardware
  • Software
  • Services

Drone Type

  • Fixed-Wing
  • Rotary-Wing
  • Hybrid

Sensor Type

  • Optical Sensors
  • Thermal Sensors
  • Multispectral Sensors
  • Others

Application

  • Agriculture
  • Environmental Monitoring
  • Forestry
  • Research
  • Others

End-User

  • Farmers
  • Research Institutes
  • Government Agencies
  • Agribusinesses
  • Others

Frequently Asked Questions

Artificial intelligence is transforming drone-based soil moisture mapping from a data collection exercise into an intelligent decision-support system. Machine learning algorithms process vast volumes of multispectral, thermal, and optical imagery to automatically identify and classify moisture stress zones, soil types, and crop health anomalies with far greater speed and accuracy than traditional manual analysis. Deep learning models, particularly convolutional neural networks, are trained on labeled agronomic datasets to detect subtle spectral signatures associated with specific moisture levels, enabling predictions that go beyond direct measurement to infer subsurface conditions. AI-powered platforms integrate drone-derived data with weather forecasts, historical yield records, and satellite imagery to generate predictive soil moisture models that help farmers anticipate irrigation needs days in advance. Automated anomaly detection algorithms flag emerging issues such as localized drought stress or drainage problems in near real-time, enabling rapid targeted interventions. Natural language interfaces and AI-assisted reporting tools are lowering the barrier for non-technical users to interpret complex geospatial outputs, accelerating adoption among mainstream farmers and land managers. AI is also central to the continuous improvement of sensor fusion techniques, combining data from multiple sensor types for more reliable and comprehensive soil moisture assessments.

The competitive landscape features a mix of global drone manufacturers, specialized agricultural UAV companies, sensor developers, and software platform providers. DJI Innovations dominates global drone hardware supply and offers agricultural-grade platforms widely used for mapping missions. Trimble Inc. provides comprehensive precision agriculture solutions integrating drone data with its broader geospatial and farm management technology portfolio. AgEagle Aerial Systems Inc. specializes in agricultural UAV platforms and analytics. Parrot SA and its subsidiary senseFly offer fixed-wing and rotary-wing drones favored in European and research markets. Delair delivers enterprise-grade fixed-wing UAV solutions with strong geospatial data processing capabilities. Sentera focuses on high-resolution multispectral sensor systems specifically designed for agronomic applications. DroneDeploy provides a widely used cloud-based drone data platform supporting mapping, analytics, and reporting. Pix4D is a leading provider of photogrammetry and mapping software. MicaSense, now part of the Agrosphere portfolio, produces industry-standard multispectral sensors. Quantum Systems and Microdrones offer advanced hybrid and rotary platforms respectively. Terra Drone Corporation is expanding rapidly across Asia and emerging markets.

Despite strong growth fundamentals, several challenges temper market expansion. Regulatory complexity remains a significant barrier, with varying national and subnational rules governing drone flight zones, pilot licensing, data privacy, and commercial operations creating compliance burdens, particularly for cross-border agri-tech service providers. High upfront capital costs for professional-grade drone platforms and multi-sensor payloads can be prohibitive for smallholder farmers in low-income markets, even as prices continue to decline. Data management challenges persist, as drone missions generate massive volumes of geospatial data that require specialized storage, processing, and analytical skills to convert into actionable insights. Technical skill gaps among potential end-users, especially in developing regions, slow adoption and increase reliance on third-party service providers. Signal interference, adverse weather conditions, and battery limitations constrain operational windows in some geographies. Finally, data standardization and interoperability issues between different hardware and software platforms complicate integration with existing farm management systems.

Farmers, from smallholders to large commercial operators, represent the largest end-user group, directly applying soil moisture data to improve irrigation efficiency and reduce input costs. Research institutes and universities are critical early adopters that drive innovation, validate methodologies, and publish findings that build market confidence. Government agencies at national and regional levels use drone mapping for land management, water policy development, disaster response, and food security planning. Agribusinesses, including large farming enterprises, agricultural cooperatives, and crop insurance companies, integrate soil moisture data into digital decision-support platforms to optimize operations at scale. Specialty service providers, including drone-as-a-service companies and agronomy consulting firms, form a growing end-user and intermediary category, bundling hardware, software, and expertise into subscription-based offerings accessible to clients without in-house drone capabilities.

Agriculture is the dominant application, accounting for over 56% of market revenue in 2025, as farmers use moisture maps to optimize irrigation scheduling, reduce water waste, and enhance crop yields. Environmental monitoring agencies deploy the technology for watershed management, flood risk assessment, and climate adaptation planning. Forestry departments use it for forest health assessment, reforestation success monitoring, and wildfire risk mitigation by identifying zones of abnormal dryness. Research institutions leverage the technology for soil science, hydrology, and climate studies, benefiting from the high-frequency, spatially rich datasets drones can generate. Additional application areas include mining site rehabilitation, urban green space management, and infrastructure slope stability monitoring. Related precision agriculture practices such as crop nitrogen status assessment and orchard canopy mapping are frequently combined with soil moisture missions for holistic field intelligence.

Three primary drone categories serve the soil moisture mapping market. Fixed-wing drones are preferred for large-scale operations requiring extended flight endurance and coverage of vast agricultural or forested areas. Rotary-wing drones, including quadcopters and hexacopters, dominate smaller, irregularly shaped field applications and precision spot-mapping tasks due to their maneuverability and hover capability. Hybrid drones combine vertical take-off and landing with fixed-wing cruise efficiency, making them versatile for diverse terrain. On the sensor side, multispectral sensors are at the forefront, capturing data across multiple wavelengths to derive vegetation indices and infer soil moisture content. Thermal sensors detect surface temperature differentials indicative of moisture variability. Optical sensors provide high-resolution RGB imagery for contextual analysis. Emerging sensor types include hyperspectral sensors and lightweight ground-penetrating radar payloads, which offer enhanced depth penetration and spectral richness for specialized research applications. Complementary technologies such as drone-based vegetation surveys are frequently deployed alongside soil moisture missions to build a comprehensive land health picture.

North America holds the largest revenue share of the global market at approximately 37.8% in 2025, generating around USD 613 million, driven by the United States' highly advanced precision agriculture ecosystem, strong venture capital investment in agri-tech, and supportive federal and state-level policies for smart farming. Asia Pacific is the fastest-growing regional market, projected to register a CAGR of approximately 21.4% from 2026 to 2034, fueled by rapid agricultural modernization in China, India, and Australia, along with substantial government investments in digital farming infrastructure. Europe accounts for roughly 22.1% of global revenue in 2025, supported by EU Common Agricultural Policy funding and strict environmental regulations that incentivize precision land management. Latin America and the Middle East and Africa are emerging markets showing accelerating adoption as awareness and infrastructure improve.

Several interconnected factors are driving growth in this market through 2034. First, the global imperative for sustainable agriculture and water resource optimization is compelling farmers and land managers to adopt data-driven irrigation solutions, with drone-based mapping offering unmatched spatial resolution and real-time responsiveness. Second, the rapid advancement and cost reduction of multispectral and thermal sensor hardware have broadened accessibility beyond large agribusinesses to smallholder farmers. Third, supportive government policies, subsidy programs, and agri-tech investment funds in North America, Europe, and Asia Pacific are accelerating technology uptake. Fourth, the integration of artificial intelligence, cloud computing, and IoT connectivity is unlocking predictive analytics capabilities that significantly enhance the value of soil moisture data. Fifth, worsening climate variability, particularly prolonged droughts and erratic rainfall patterns, is increasing demand for real-time soil monitoring across agriculture, forestry, and environmental management sectors.

According to our latest research, the global drone-based soil moisture mapping market reached USD 1.62 billion in 2025, establishing this as the base year for current analysis. The market is projected to expand at a robust compound annual growth rate (CAGR) of 18.7% during the forecast period from 2026 to 2034, reaching an estimated value of approximately USD 8.02 billion by 2034. This strong growth trajectory is underpinned by accelerating adoption of precision agriculture, growing water scarcity concerns, increased drone affordability, and the proliferation of AI-powered data analytics platforms that transform raw sensor data into actionable agronomic insights.

Drone-based soil moisture mapping is a precision agriculture and environmental monitoring technique in which unmanned aerial vehicles (UAVs) equipped with multispectral, thermal, optical, or specialized radar sensors fly over land surfaces to collect spatially explicit data on soil water content. The collected imagery and sensor readings are processed through dedicated software platforms, often enhanced with artificial intelligence and machine learning algorithms, to generate high-resolution maps showing the distribution of moisture across fields, forests, or other landscapes. These maps enable farmers, land managers, and researchers to make evidence-based decisions on irrigation scheduling, crop management, reforestation planning, and environmental conservation. As of 2025, the technology has matured considerably, with commercially available end-to-end solutions accessible to both smallholder farmers and large agribusinesses.

Table Of Content

Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Drone-Based Soil Moisture Mapping Market Overview
   4.1 Introduction
      4.1.1 Market Taxonomy
      4.1.2 Market Definition
      4.1.3 Macro-Economic Factors Impacting the Market Growth
   4.2 Drone-Based Soil Moisture Mapping Market Dynamics
      4.2.1 Market Drivers
      4.2.2 Market Restraints
      4.2.3 Market Opportunity
   4.3 Drone-Based Soil Moisture Mapping Market - Supply Chain Analysis
      4.3.1 List of Key Suppliers
      4.3.2 List of Key Distributors
      4.3.3 List of Key Consumers
   4.4 Key Forces Shaping the Drone-Based Soil Moisture Mapping Market
      4.4.1 Bargaining Power of Suppliers
      4.4.2 Bargaining Power of Buyers
      4.4.3 Threat of Substitution
      4.4.4 Threat of New Entrants
      4.4.5 Competitive Rivalry
   4.5 Global Drone-Based Soil Moisture Mapping Market Size & Forecast, 2023-2032
      4.5.1 Drone-Based Soil Moisture Mapping Market Size and Y-o-Y Growth
      4.5.2 Drone-Based Soil Moisture Mapping Market Absolute $ Opportunity

Chapter 5 Global Drone-Based Soil Moisture Mapping Market Analysis and Forecast By Component
   5.1 Introduction
      5.1.1 Key Market Trends & Growth Opportunities By Component
      5.1.2 Basis Point Share (BPS) Analysis By Component
      5.1.3 Absolute $ Opportunity Assessment By Component
   5.2 Drone-Based Soil Moisture Mapping Market Size Forecast By Component
      5.2.1 Hardware
      5.2.2 Software
      5.2.3 Services
   5.3 Market Attractiveness Analysis By Component

Chapter 6 Global Drone-Based Soil Moisture Mapping Market Analysis and Forecast By Drone Type
   6.1 Introduction
      6.1.1 Key Market Trends & Growth Opportunities By Drone Type
      6.1.2 Basis Point Share (BPS) Analysis By Drone Type
      6.1.3 Absolute $ Opportunity Assessment By Drone Type
   6.2 Drone-Based Soil Moisture Mapping Market Size Forecast By Drone Type
      6.2.1 Fixed-Wing
      6.2.2 Rotary-Wing
      6.2.3 Hybrid
   6.3 Market Attractiveness Analysis By Drone Type

Chapter 7 Global Drone-Based Soil Moisture Mapping Market Analysis and Forecast By Sensor Type
   7.1 Introduction
      7.1.1 Key Market Trends & Growth Opportunities By Sensor Type
      7.1.2 Basis Point Share (BPS) Analysis By Sensor Type
      7.1.3 Absolute $ Opportunity Assessment By Sensor Type
   7.2 Drone-Based Soil Moisture Mapping Market Size Forecast By Sensor Type
      7.2.1 Optical Sensors
      7.2.2 Thermal Sensors
      7.2.3 Multispectral Sensors
      7.2.4 Others
   7.3 Market Attractiveness Analysis By Sensor Type

Chapter 8 Global Drone-Based Soil Moisture Mapping Market Analysis and Forecast By Application
   8.1 Introduction
      8.1.1 Key Market Trends & Growth Opportunities By Application
      8.1.2 Basis Point Share (BPS) Analysis By Application
      8.1.3 Absolute $ Opportunity Assessment By Application
   8.2 Drone-Based Soil Moisture Mapping Market Size Forecast By Application
      8.2.1 Agriculture
      8.2.2 Environmental Monitoring
      8.2.3 Forestry
      8.2.4 Research
      8.2.5 Others
   8.3 Market Attractiveness Analysis By Application

Chapter 9 Global Drone-Based Soil Moisture Mapping Market Analysis and Forecast By End-User
   9.1 Introduction
      9.1.1 Key Market Trends & Growth Opportunities By End-User
      9.1.2 Basis Point Share (BPS) Analysis By End-User
      9.1.3 Absolute $ Opportunity Assessment By End-User
   9.2 Drone-Based Soil Moisture Mapping Market Size Forecast By End-User
      9.2.1 Farmers
      9.2.2 Research Institutes
      9.2.3 Government Agencies
      9.2.4 Agribusinesses
      9.2.5 Others
   9.3 Market Attractiveness Analysis By End-User

Chapter 10 Global Drone-Based Soil Moisture Mapping Market Analysis and Forecast by Region
   10.1 Introduction
      10.1.1 Key Market Trends & Growth Opportunities By Region
      10.1.2 Basis Point Share (BPS) Analysis By Region
      10.1.3 Absolute $ Opportunity Assessment By Region
   10.2 Drone-Based Soil Moisture Mapping Market Size Forecast By Region
      10.2.1 North America
      10.2.2 Europe
      10.2.3 Asia Pacific
      10.2.4 Latin America
      10.2.5 Middle East & Africa (MEA)
   10.3 Market Attractiveness Analysis By Region

Chapter 11 Coronavirus Disease (COVID-19) Impact 
   11.1 Introduction 
   11.2 Current & Future Impact Analysis 
   11.3 Economic Impact Analysis 
   11.4 Government Policies 
   11.5 Investment Scenario

Chapter 12 North America Drone-Based Soil Moisture Mapping Analysis and Forecast
   12.1 Introduction
   12.2 North America Drone-Based Soil Moisture Mapping Market Size Forecast by Country
      12.2.1 U.S.
      12.2.2 Canada
   12.3 Basis Point Share (BPS) Analysis by Country
   12.4 Absolute $ Opportunity Assessment by Country
   12.5 Market Attractiveness Analysis by Country
   12.6 North America Drone-Based Soil Moisture Mapping Market Size Forecast By Component
      12.6.1 Hardware
      12.6.2 Software
      12.6.3 Services
   12.7 Basis Point Share (BPS) Analysis By Component 
   12.8 Absolute $ Opportunity Assessment By Component 
   12.9 Market Attractiveness Analysis By Component
   12.10 North America Drone-Based Soil Moisture Mapping Market Size Forecast By Drone Type
      12.10.1 Fixed-Wing
      12.10.2 Rotary-Wing
      12.10.3 Hybrid
   12.11 Basis Point Share (BPS) Analysis By Drone Type 
   12.12 Absolute $ Opportunity Assessment By Drone Type 
   12.13 Market Attractiveness Analysis By Drone Type
   12.14 North America Drone-Based Soil Moisture Mapping Market Size Forecast By Sensor Type
      12.14.1 Optical Sensors
      12.14.2 Thermal Sensors
      12.14.3 Multispectral Sensors
      12.14.4 Others
   12.15 Basis Point Share (BPS) Analysis By Sensor Type 
   12.16 Absolute $ Opportunity Assessment By Sensor Type 
   12.17 Market Attractiveness Analysis By Sensor Type
   12.18 North America Drone-Based Soil Moisture Mapping Market Size Forecast By Application
      12.18.1 Agriculture
      12.18.2 Environmental Monitoring
      12.18.3 Forestry
      12.18.4 Research
      12.18.5 Others
   12.19 Basis Point Share (BPS) Analysis By Application 
   12.20 Absolute $ Opportunity Assessment By Application 
   12.21 Market Attractiveness Analysis By Application
   12.22 North America Drone-Based Soil Moisture Mapping Market Size Forecast By End-User
      12.22.1 Farmers
      12.22.2 Research Institutes
      12.22.3 Government Agencies
      12.22.4 Agribusinesses
      12.22.5 Others
   12.23 Basis Point Share (BPS) Analysis By End-User 
   12.24 Absolute $ Opportunity Assessment By End-User 
   12.25 Market Attractiveness Analysis By End-User

Chapter 13 Europe Drone-Based Soil Moisture Mapping Analysis and Forecast
   13.1 Introduction
   13.2 Europe Drone-Based Soil Moisture Mapping Market Size Forecast by Country
      13.2.1 Germany
      13.2.2 France
      13.2.3 Italy
      13.2.4 U.K.
      13.2.5 Spain
      13.2.6 Russia
      13.2.7 Rest of Europe
   13.3 Basis Point Share (BPS) Analysis by Country
   13.4 Absolute $ Opportunity Assessment by Country
   13.5 Market Attractiveness Analysis by Country
   13.6 Europe Drone-Based Soil Moisture Mapping Market Size Forecast By Component
      13.6.1 Hardware
      13.6.2 Software
      13.6.3 Services
   13.7 Basis Point Share (BPS) Analysis By Component 
   13.8 Absolute $ Opportunity Assessment By Component 
   13.9 Market Attractiveness Analysis By Component
   13.10 Europe Drone-Based Soil Moisture Mapping Market Size Forecast By Drone Type
      13.10.1 Fixed-Wing
      13.10.2 Rotary-Wing
      13.10.3 Hybrid
   13.11 Basis Point Share (BPS) Analysis By Drone Type 
   13.12 Absolute $ Opportunity Assessment By Drone Type 
   13.13 Market Attractiveness Analysis By Drone Type
   13.14 Europe Drone-Based Soil Moisture Mapping Market Size Forecast By Sensor Type
      13.14.1 Optical Sensors
      13.14.2 Thermal Sensors
      13.14.3 Multispectral Sensors
      13.14.4 Others
   13.15 Basis Point Share (BPS) Analysis By Sensor Type 
   13.16 Absolute $ Opportunity Assessment By Sensor Type 
   13.17 Market Attractiveness Analysis By Sensor Type
   13.18 Europe Drone-Based Soil Moisture Mapping Market Size Forecast By Application
      13.18.1 Agriculture
      13.18.2 Environmental Monitoring
      13.18.3 Forestry
      13.18.4 Research
      13.18.5 Others
   13.19 Basis Point Share (BPS) Analysis By Application 
   13.20 Absolute $ Opportunity Assessment By Application 
   13.21 Market Attractiveness Analysis By Application
   13.22 Europe Drone-Based Soil Moisture Mapping Market Size Forecast By End-User
      13.22.1 Farmers
      13.22.2 Research Institutes
      13.22.3 Government Agencies
      13.22.4 Agribusinesses
      13.22.5 Others
   13.23 Basis Point Share (BPS) Analysis By End-User 
   13.24 Absolute $ Opportunity Assessment By End-User 
   13.25 Market Attractiveness Analysis By End-User

Chapter 14 Asia Pacific Drone-Based Soil Moisture Mapping Analysis and Forecast
   14.1 Introduction
   14.2 Asia Pacific Drone-Based Soil Moisture Mapping Market Size Forecast by Country
      14.2.1 China
      14.2.2 Japan
      14.2.3 South Korea
      14.2.4 India
      14.2.5 Australia
      14.2.6 South East Asia (SEA)
      14.2.7 Rest of Asia Pacific (APAC)
   14.3 Basis Point Share (BPS) Analysis by Country
   14.4 Absolute $ Opportunity Assessment by Country
   14.5 Market Attractiveness Analysis by Country
   14.6 Asia Pacific Drone-Based Soil Moisture Mapping Market Size Forecast By Component
      14.6.1 Hardware
      14.6.2 Software
      14.6.3 Services
   14.7 Basis Point Share (BPS) Analysis By Component 
   14.8 Absolute $ Opportunity Assessment By Component 
   14.9 Market Attractiveness Analysis By Component
   14.10 Asia Pacific Drone-Based Soil Moisture Mapping Market Size Forecast By Drone Type
      14.10.1 Fixed-Wing
      14.10.2 Rotary-Wing
      14.10.3 Hybrid
   14.11 Basis Point Share (BPS) Analysis By Drone Type 
   14.12 Absolute $ Opportunity Assessment By Drone Type 
   14.13 Market Attractiveness Analysis By Drone Type
   14.14 Asia Pacific Drone-Based Soil Moisture Mapping Market Size Forecast By Sensor Type
      14.14.1 Optical Sensors
      14.14.2 Thermal Sensors
      14.14.3 Multispectral Sensors
      14.14.4 Others
   14.15 Basis Point Share (BPS) Analysis By Sensor Type 
   14.16 Absolute $ Opportunity Assessment By Sensor Type 
   14.17 Market Attractiveness Analysis By Sensor Type
   14.18 Asia Pacific Drone-Based Soil Moisture Mapping Market Size Forecast By Application
      14.18.1 Agriculture
      14.18.2 Environmental Monitoring
      14.18.3 Forestry
      14.18.4 Research
      14.18.5 Others
   14.19 Basis Point Share (BPS) Analysis By Application 
   14.20 Absolute $ Opportunity Assessment By Application 
   14.21 Market Attractiveness Analysis By Application
   14.22 Asia Pacific Drone-Based Soil Moisture Mapping Market Size Forecast By End-User
      14.22.1 Farmers
      14.22.2 Research Institutes
      14.22.3 Government Agencies
      14.22.4 Agribusinesses
      14.22.5 Others
   14.23 Basis Point Share (BPS) Analysis By End-User 
   14.24 Absolute $ Opportunity Assessment By End-User 
   14.25 Market Attractiveness Analysis By End-User

Chapter 15 Latin America Drone-Based Soil Moisture Mapping Analysis and Forecast
   15.1 Introduction
   15.2 Latin America Drone-Based Soil Moisture Mapping Market Size Forecast by Country
      15.2.1 Brazil
      15.2.2 Mexico
      15.2.3 Rest of Latin America (LATAM)
   15.3 Basis Point Share (BPS) Analysis by Country
   15.4 Absolute $ Opportunity Assessment by Country
   15.5 Market Attractiveness Analysis by Country
   15.6 Latin America Drone-Based Soil Moisture Mapping Market Size Forecast By Component
      15.6.1 Hardware
      15.6.2 Software
      15.6.3 Services
   15.7 Basis Point Share (BPS) Analysis By Component 
   15.8 Absolute $ Opportunity Assessment By Component 
   15.9 Market Attractiveness Analysis By Component
   15.10 Latin America Drone-Based Soil Moisture Mapping Market Size Forecast By Drone Type
      15.10.1 Fixed-Wing
      15.10.2 Rotary-Wing
      15.10.3 Hybrid
   15.11 Basis Point Share (BPS) Analysis By Drone Type 
   15.12 Absolute $ Opportunity Assessment By Drone Type 
   15.13 Market Attractiveness Analysis By Drone Type
   15.14 Latin America Drone-Based Soil Moisture Mapping Market Size Forecast By Sensor Type
      15.14.1 Optical Sensors
      15.14.2 Thermal Sensors
      15.14.3 Multispectral Sensors
      15.14.4 Others
   15.15 Basis Point Share (BPS) Analysis By Sensor Type 
   15.16 Absolute $ Opportunity Assessment By Sensor Type 
   15.17 Market Attractiveness Analysis By Sensor Type
   15.18 Latin America Drone-Based Soil Moisture Mapping Market Size Forecast By Application
      15.18.1 Agriculture
      15.18.2 Environmental Monitoring
      15.18.3 Forestry
      15.18.4 Research
      15.18.5 Others
   15.19 Basis Point Share (BPS) Analysis By Application 
   15.20 Absolute $ Opportunity Assessment By Application 
   15.21 Market Attractiveness Analysis By Application
   15.22 Latin America Drone-Based Soil Moisture Mapping Market Size Forecast By End-User
      15.22.1 Farmers
      15.22.2 Research Institutes
      15.22.3 Government Agencies
      15.22.4 Agribusinesses
      15.22.5 Others
   15.23 Basis Point Share (BPS) Analysis By End-User 
   15.24 Absolute $ Opportunity Assessment By End-User 
   15.25 Market Attractiveness Analysis By End-User

Chapter 16 Middle East & Africa (MEA) Drone-Based Soil Moisture Mapping Analysis and Forecast
   16.1 Introduction
   16.2 Middle East & Africa (MEA) Drone-Based Soil Moisture Mapping Market Size Forecast by Country
      16.2.1 Saudi Arabia
      16.2.2 South Africa
      16.2.3 UAE
      16.2.4 Rest of Middle East & Africa (MEA)
   16.3 Basis Point Share (BPS) Analysis by Country
   16.4 Absolute $ Opportunity Assessment by Country
   16.5 Market Attractiveness Analysis by Country
   16.6 Middle East & Africa (MEA) Drone-Based Soil Moisture Mapping Market Size Forecast By Component
      16.6.1 Hardware
      16.6.2 Software
      16.6.3 Services
   16.7 Basis Point Share (BPS) Analysis By Component 
   16.8 Absolute $ Opportunity Assessment By Component 
   16.9 Market Attractiveness Analysis By Component
   16.10 Middle East & Africa (MEA) Drone-Based Soil Moisture Mapping Market Size Forecast By Drone Type
      16.10.1 Fixed-Wing
      16.10.2 Rotary-Wing
      16.10.3 Hybrid
   16.11 Basis Point Share (BPS) Analysis By Drone Type 
   16.12 Absolute $ Opportunity Assessment By Drone Type 
   16.13 Market Attractiveness Analysis By Drone Type
   16.14 Middle East & Africa (MEA) Drone-Based Soil Moisture Mapping Market Size Forecast By Sensor Type
      16.14.1 Optical Sensors
      16.14.2 Thermal Sensors
      16.14.3 Multispectral Sensors
      16.14.4 Others
   16.15 Basis Point Share (BPS) Analysis By Sensor Type 
   16.16 Absolute $ Opportunity Assessment By Sensor Type 
   16.17 Market Attractiveness Analysis By Sensor Type
   16.18 Middle East & Africa (MEA) Drone-Based Soil Moisture Mapping Market Size Forecast By Application
      16.18.1 Agriculture
      16.18.2 Environmental Monitoring
      16.18.3 Forestry
      16.18.4 Research
      16.18.5 Others
   16.19 Basis Point Share (BPS) Analysis By Application 
   16.20 Absolute $ Opportunity Assessment By Application 
   16.21 Market Attractiveness Analysis By Application
   16.22 Middle East & Africa (MEA) Drone-Based Soil Moisture Mapping Market Size Forecast By End-User
      16.22.1 Farmers
      16.22.2 Research Institutes
      16.22.3 Government Agencies
      16.22.4 Agribusinesses
      16.22.5 Others
   16.23 Basis Point Share (BPS) Analysis By End-User 
   16.24 Absolute $ Opportunity Assessment By End-User 
   16.25 Market Attractiveness Analysis By End-User

Chapter 17 Competition Landscape 
   17.1 Drone-Based Soil Moisture Mapping Market: Competitive Dashboard
   17.2 Global Drone-Based Soil Moisture Mapping Market: Market Share Analysis, 2023
   17.3 Company Profiles (Details – Overview, Financials, Developments, Strategy) 
      17.3.1 DJI Innovations
      17.3.2 Parrot SA
      17.3.3 Trimble Inc.
      17.3.4 AgEagle Aerial Systems Inc.
      17.3.5 Delair
      17.3.6 AeroVironment Inc.
      17.3.7 Sentera
      17.3.8 DroneDeploy
      17.3.9 Terra Drone Corporation
      17.3.10 MicaSense (Agrosphere)
      17.3.11 Quantum Systems
      17.3.12 Microdrones
      17.3.13 Pix4D
      17.3.14 Agremo
      17.3.15 senseFly (Parrot Group)
      17.3.16 SlantRange
      17.3.17 Skycatch Inc.
      17.3.18 Yamaha Motor Corporation

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