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Irrigation Scheduling Software Market by Scheduling Technology (Evapotranspiration, Satellite Imaging, Soil Moisture), End User (Agriculture, Horticulture, Landscape), Application, Deployment Model, Distribution Channel - Global Forecast 2025-2030

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    Report

  • 183 Pages
  • August 2025
  • Region: Global
  • 360iResearch™
  • ID: 6140721
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In an era defined by resource constraints and sustainability imperatives, irrigation scheduling software has emerged as a cornerstone of modern water management. This suite of advanced tools leverages real-time data and predictive algorithms to tailor irrigation practices to the unique needs of soil conditions, crop types, and weather patterns. By dynamically adjusting watering schedules and volumes, agricultural operators can both conserve precious freshwater resources and drive improved crop performance across diverse environments. Moreover, the convergence of sensor technology, cloud computing, and mobile connectivity empowers stakeholders with unprecedented visibility into field conditions, enabling them to make proactive decisions that balance yield objectives with environmental stewardship.

As farming enterprises face mounting pressure from regulatory bodies and consumer demand for sustainable production methods, the adoption of intelligent irrigation platforms has become a strategic necessity rather than an optional upgrade. These systems facilitate seamless integration of disparate data streams-from evapotranspiration metrics to soil moisture thresholds-thereby delivering actionable insights that translate into tangible cost reductions and resource optimization. Furthermore, the ability to simulate scenario-based outcomes under varying climatic scenarios allows users to refine water allocation strategies well in advance of critical growing periods.

Ultimately, intelligent irrigation scheduling solutions serve as the linchpin in the transition toward data-driven agronomy. By harnessing real-time analytics and predictive modeling, growers and landscape professionals are positioned to achieve higher levels of operational efficiency, minimize environmental impact, and sustain long-term productivity in an increasingly water-scarce world.

Exploring How Technological Innovations, Data-Driven Insights, and Climate Adaptations Are Reshaping Irrigation Scheduling Software Practices

In recent years, the irrigation scheduling landscape has undergone a fundamental transformation driven by breakthroughs in sensor technology, artificial intelligence, and satellite-based remote sensing. Advanced evapotranspiration models now integrate real-time weather forecasts with soil moisture sensors to deliver hyperlocal irrigation recommendations. At the same time, high-resolution satellite imagery enhances field-level visibility, empowering users to detect variability in crop stress and adjust water applications proactively. Combined with machine learning algorithms that refine predictive accuracy over time, these innovations have elevated scheduling platforms from static planning tools to dynamic decision-support systems capable of adapting to rapidly changing environmental conditions.

Concurrently, the proliferation of climate adaptation initiatives has placed a premium on systems that can accommodate erratic precipitation patterns and extreme temperature fluctuations. Software providers are increasingly embedding climate risk modules that forecast potential drought or flood scenarios, enabling stakeholders to devise contingency plans that safeguard crop health and water budgets. Such features not only address immediate operational challenges but also align with broader sustainability goals, as organizations seek to demonstrate resilience in the face of climate uncertainties.

Data privacy and cybersecurity considerations have also come to the forefront as irrigation scheduling platforms evolve into enterprise-grade solutions. Providers are integrating end-to-end encryption, role-based access controls, and compliance with data protection regulations to safeguard sensitive agronomic and operational information. This focus on security not only addresses stakeholder concerns but also supports interoperability with enterprise resource planning systems, enabling a seamless flow of data across supply chain, financial, and maintenance modules. As a result, operators gain a unified view of their operations, facilitating more informed strategic decisions.

Moreover, the integration of irrigation scheduling solutions with broader farm management systems has unlocked new avenues for efficiency gains. Through interoperable APIs and cloud-based architectures, users can synchronize irrigation data with nutrient management, pest control, and harvest scheduling workflows. This holistic approach fosters cross-functional insights, reduces manual intervention, and supports end-to-end traceability, setting a transformative precedent for the future of precision agriculture.

Assessing the Cumulative Effects of New United States Tariff Regulations on the Accessibility and Cost Structures of Irrigation Scheduling Solutions in 2025

With the introduction of new United States tariff measures in 2025, the irrigation scheduling software ecosystem is confronting a complex array of cost and supply chain implications. Tariffs on imported sensors, hardware modules, and specialized remote sensing components have elevated procurement challenges for both software vendors and end users. Consequently, development teams have been compelled to reevaluate vendor partnerships and prioritize sourcing from domestic manufacturers or restructure assembly operations to mitigate duty-related expenses. These adjustments have reverberated across the value chain, leading to phased increases in equipment pricing and prompting discussions around cost-sharing frameworks with downstream customers.

In response to this regulatory shift, many solution providers are exploring modular hardware designs that allow selective integration of tariff-exempt components. By decoupling critical sensing units from proprietary control modules, vendors can optimize production workflows and navigate trade barriers with greater agility. At the same time, software licensing models are adjusting to account for heightened overhead, with an emphasis on subscription-based services that distribute costs over time rather than upfront capital expenditures. This evolution in commercial structure has resonated with buyers, as it aligns investment patterns with operational budgets and facilitates scalable deployments across multiple sites.

Smaller agricultural operations, particularly those with limited internal procurement resources, are experiencing disproportionate challenges due to increased hardware costs. To address this, cooperative buying groups and local equipment leasing programs have emerged, enabling collective negotiation power and shared risk. These models are fostering new community-driven approaches to technology access, ensuring that smallholder farms can implement irrigation scheduling solutions despite budgetary constraints. Over time, such cooperative frameworks are expected to democratize technology, promoting more equitable access to precision irrigation across diverse farming communities.

Furthermore, the tariffs have catalyzed regional diversification strategies among providers, as companies seek to establish fulfillment centers in key domestic hubs. By localizing distribution and assembly, these firms are minimizing exposure to cross-border duties and accelerating delivery timelines. Ultimately, the cumulative impact of these measures is reshaping the competitive landscape, underscoring the importance of supply chain resilience and adaptive business models in sustaining growth within the irrigation scheduling software sector.

Gaining Strategic Perspectives Through Technology, User, Application, Deployment, and Distribution Segments to Drive Irrigation Scheduling Software Adoption

In-depth analysis of scheduling technology reveals that evapotranspiration-based platforms continue to garner attention for their precision in estimating crop water requirements through meteorological data and plant physiology models. Meanwhile, satellite imaging solutions offer expansive field coverage, enabling the detection of stress zones and irrigation uniformity issues at scale. Soil moisture sensing remains indispensable for understanding subsurface hydration dynamics, providing ground truth data that recalibrates predictive algorithms in real time. Weather-centric systems integrate forecast data to adjust irrigation windows dynamically, bridging the gap between historical patterns and immediate climate variability.

From an end-user perspective, agricultural producers are leading adoption by leveraging data-driven irrigation to optimize resource use across broad acreages, while horticultural operations apply these platforms to protect high-value crops from water stress and quality inconsistencies. Landscape management professionals are increasingly embracing scheduling solutions to maintain ornamental plant health under variable watering restrictions, and turf managers are deploying advanced automation to achieve uniformity and turf density in sports and recreational venues under tight maintenance budgets.

Application analysis shows that drip irrigation continues to dominate, with subsurface and surface drip configurations allowing for targeted water delivery directly to the root zone. Sprinkler systems, encompassing center pivot, fixed spray, and lateral move technologies, benefit from precise scheduling to achieve uniform coverage and minimize evaporation losses. Surface methods such as flood and furrow irrigation are becoming more efficient through time-blocked scheduling that reduces run-off and soil erosion.

When considering deployment models, cloud-based platforms offer the advantage of remote accessibility and seamless updates, while on-premise installations appeal to organizations with robust IT capabilities and heightened data sovereignty requirements. Lastly, distribution channels are evolving as direct sales teams cultivate close customer relationships, online marketplaces streamline procurement processes, and third-party resellers provide regional support networks that accelerate adoption across diverse end-user segments.

Uncovering Regional Dynamics Across the Americas, Europe Middle East & Africa, and Asia-Pacific That Shape the Adoption of Irrigation Scheduling Software

In the Americas, advanced irrigation scheduling software has been propelled by a combination of stringent water regulations and robust investment in precision agriculture initiatives. Users across North and South America are prioritizing solutions that integrate local weather station feeds with field sensors to comply with evolving drought mitigation mandates. Moreover, the commercial sector is responding by establishing regional data centers and support hubs, ensuring minimal latency and tailored service packages. The trend toward subscription-based licensing models continues to gain traction, as agricultural enterprises appreciate the ability to scale deployments across multiple estates without large upfront capital outlays.

In Europe, the Middle East, and Africa, the market dynamic is defined by a diverse array of regulatory frameworks and water scarcity challenges. European growers are leveraging interoperability standards to connect irrigation scheduling systems with broader environmental monitoring platforms, aligning with sustainability certifications and carbon reduction goals. In the Middle East, high ambient temperatures and limited water reserves have driven demand for high-precision sensor arrays and predictive analytics that optimize each drop of irrigation water. African horticulture and smallholder farms are gradually adopting mobile-enabled scheduling tools, supported by government-led agricultural modernization programs that subsidize technology deployment in key export-oriented regions.

Asia-Pacific markets reflect a blend of mature agricultural economies and emerging growth corridors. In Australia and New Zealand, drought readiness strategies have spurred investment in advanced scheduling platforms with drought simulation modules. Southeast Asian producers are embracing cost-effective sensor networks coupled with cloud-based control systems that accommodate both rice paddy and plantation crop irrigation. Meanwhile, large-scale deployments are underway in China and India, where government incentives and public-private partnerships are accelerating digital irrigation transformation across vast agricultural landscapes.

Highlighting Leading Providers, Innovative Startups, and Collaborative Partnerships That Are Driving Competition and Innovation in Irrigation Scheduling Software

Within the irrigation scheduling software segment, established agricultural equipment manufacturers have intensified their software portfolios, embedding scheduling modules into comprehensive farm management suites. Companies with long-standing expertise in hardware development are extending their product lines to include cloud-based analytics, creating integrated ecosystems that streamline sensor calibration, data visualization, and event-triggered automation. Meanwhile, pure software vendors are fostering strategic alliances with sensor manufacturers and telecommunications providers to enhance the interoperability and coverage of their offerings.

Innovative startups are also emerging with niche solutions that focus on high-resolution remote sensing and machine learning-driven recommendation engines. These agile companies specialize in rapid prototyping and iterative deployment, often delivering continuous feature updates based on direct user feedback. By collaborating with academic research institutions and agricultural extension services, they are pushing the boundaries of predictive accuracy and system intelligence.

Additionally, a growing number of open-source irrigation scheduling projects are gaining traction among research communities and nonprofit organizations. These initiatives often provide customizable codebases and community-driven feature enhancements, allowing smaller stakeholders to adapt systems to local crop varieties and water availability profiles. While they may not offer the same level of vendor support as commercial platforms, open-source alternatives are instrumental in driving baseline innovation and providing cost-effective entry points for under-resourced regions.

Collaborative partnerships between multinational agribusiness firms and technology providers are further shaping the competitive environment. Joint ventures are enabling co-innovation, whereby irrigation software is seamlessly integrated with drone-based imagery and automated variable-rate irrigation equipment. These collaborations not only broaden the solution landscape but also reduce integration risks for end users. As a result, decision makers now have access to a wider array of validated, turnkey offerings that minimize implementation complexity and accelerate return on investment.

Delivering Clear, Evidence-Based Strategies and Best Practices to Guide Decision Makers in Successfully Implementing and Scaling Irrigation Scheduling Software

To capitalize on the transformative potential of irrigation scheduling software, industry leaders should prioritize platform interoperability and open architecture designs. By adopting standard communication protocols and modular hardware interfaces, organizations can reduce vendor lock-in risks and facilitate secondary integrations with complementary agricultural solutions. Additionally, investment in advanced analytics capabilities-particularly in machine learning and anomaly detection-will empower stakeholders to uncover hidden patterns in field data and preemptively address irrigation inefficiencies.

Furthermore, decision makers should evaluate the benefits of hybrid deployment strategies that combine cloud-based convenience with localized on-premise control. This approach ensures that critical operations remain uninterrupted during network outages or regulatory data restrictions, while still leveraging the scalability and update cycles of centralized platforms. Complementary to these technological strategies is the need for comprehensive training and change management programs that equip user teams with the skills to interpret data outputs and translate insights into actionable field activities.

Moreover, industry leaders should engage in ecosystem development by participating in standard-setting bodies and contributing to open data repositories. This collaborative approach enhances the collective knowledge base, accelerates the maturation of common protocols, and fosters trust among users and technology partners. By taking a proactive role in shaping industry standards, organizations can influence the trajectory of interoperability and ensure that future software iterations align with real-world operational needs.

In parallel, organizations should incorporate sustainability metrics into their key performance indicators, monitoring water usage efficiency, energy consumption, and environmental impact. Establishing clear benchmarks for these metrics will not only guide incremental improvements but also support regulatory compliance and reporting obligations. As the digital irrigation ecosystem continues to evolve, staying informed on emerging sensor technologies, data governance practices, and climate adaptation frameworks will further safeguard long-term program success.

Detailing the Rigorous Mixed-Method Research Design, Data Collection Techniques, and Analytical Frameworks Underpinning the Irrigation Scheduling Software Study

In conducting this study, a rigorous mixed-method research design was employed to ensure both depth and breadth of industry insights. Primary data collection involved structured interviews and expert consultations with agronomists, irrigation engineers, and technology providers, providing firsthand perspectives on solution efficacy, user requirements, and implementation challenges. These qualitative inputs were complemented by a comprehensive review of technical publications, industry white papers, and regulatory documentation to validate emerging trends and technology developments.

Secondary research encompassed systematic analysis of academic journals, corporate reports, and credible media sources relevant to irrigation scheduling innovation. Where applicable, sensor performance data and case study results were cross-referenced to triangulate findings and verify the consistency of reported outcomes. Throughout the process, stringent data quality checks and peer reviews were conducted to uphold reliability and minimize bias.

Analytical frameworks combined thematic analysis with comparative benchmarking, enabling a nuanced understanding of regional dynamics, segmentation drivers, and competitive positioning. Ethical considerations, including data privacy and consent protocols, were strictly observed during primary interactions. The integration of these methodological components has produced a robust and transparent evidentiary base, supporting the strategic recommendations and insights presented throughout this executive summary.

Summarizing Key Industry Insights, Emerging Trends, and Strategic Imperatives That Will Shape the Future Evolution of Irrigation Scheduling Software Initiatives

As the agricultural sector confronts escalating water scarcity and regulatory pressures, irrigation scheduling software has solidified its role as an indispensable tool for achieving resource efficiency and operational excellence. Key industry insights reveal that the convergence of predictive analytics, sensor innovation, and climate adaptation modules is unlocking new performance thresholds, while evolving tariff environments are accelerating supply chain realignments and cost management strategies. Segmentation analysis highlights the importance of tailoring solutions to specific technology, end-user, application, deployment, and distribution dimensions, ensuring that diverse stakeholder needs are effectively addressed.

Regional perspectives underscore the significance of localized support infrastructures, interoperability standards, and regulatory alignment in driving adoption across the Americas, Europe Middle East & Africa, and Asia-Pacific markets. Leading providers and agile startups alike are forging partnerships and expanding their value propositions through integrated ecosystems that bring together remote sensing, automation hardware, and decision-support analytics. Actionable recommendations emphasize the need for open architectures, hybrid deployment options, and comprehensive training programs to realize the full potential of intelligent scheduling solutions.

Looking ahead, the integration of Internet of Things edge computing and federated learning techniques is poised to further refine irrigation scheduling capabilities. Edge devices will process sensor data locally, reducing reliance on continuous network connectivity and enabling near-instantaneous irrigation adjustments. Simultaneously, federated learning frameworks will aggregate model improvements across distributed deployments without exposing raw field data, preserving privacy while enhancing algorithmic sophistication. These emerging technologies underscore the ongoing evolution of the irrigation software landscape, promising ever-greater efficiency and resilience.

In summary, the irrigation scheduling software landscape is marked by rapid innovation, competitive collaboration, and strategic adaptation to external forces. Organizations that invest in interoperable platforms, cultivate cross-sector partnerships, and embed data-driven decision-making within their operational frameworks will be best positioned to navigate this evolving environment and secure sustainable growth in the years ahead.

Market Segmentation & Coverage

This research report categorizes to forecast the revenues and analyze trends in each of the following sub-segmentations:
  • Scheduling Technology
    • Evapotranspiration
    • Satellite Imaging
    • Soil Moisture
    • Weather
  • End User
    • Agriculture
    • Horticulture
    • Landscape
    • Turf
  • Application
    • Drip
      • Subsurface Drip
      • Surface Drip
    • Sprinkler
      • Center Pivot
      • Fixed Spray
      • Lateral Move
    • Surface
      • Flood
      • Furrow
  • Deployment Model
    • Cloud
    • On Premise
  • Distribution Channel
    • Direct
    • Online
    • Third Party
This research report categorizes to forecast the revenues and analyze trends in each of the following sub-regions:
  • Americas
    • United States
      • California
      • Texas
      • New York
      • Florida
      • Illinois
      • Pennsylvania
      • Ohio
    • Canada
    • Mexico
    • Brazil
    • Argentina
  • Europe, Middle East & Africa
    • United Kingdom
    • Germany
    • France
    • Russia
    • Italy
    • Spain
    • United Arab Emirates
    • Saudi Arabia
    • South Africa
    • Denmark
    • Netherlands
    • Qatar
    • Finland
    • Sweden
    • Nigeria
    • Egypt
    • Turkey
    • Israel
    • Norway
    • Poland
    • Switzerland
  • Asia-Pacific
    • China
    • India
    • Japan
    • Australia
    • South Korea
    • Indonesia
    • Thailand
    • Philippines
    • Malaysia
    • Singapore
    • Vietnam
    • Taiwan
This research report delves into recent significant developments and analyzes trends in each of the following companies:
  • The Toro Company
  • Lindsay Corporation
  • Valmont Industries, Inc.
  • Jain Irrigation Systems Limited
  • Netafim Ltd
  • Rain Bird Corporation
  • Rivulis Irrigation Ltd
  • HydroPoint Data Systems, Inc.
  • Rachio, Inc.
  • CropX Inc.

This product will be delivered within 1-3 business days.

Table of Contents

1. Preface
1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Stakeholders
2. Research Methodology
2.1. Define: Research Objective
2.2. Determine: Research Design
2.3. Prepare: Research Instrument
2.4. Collect: Data Source
2.5. Analyze: Data Interpretation
2.6. Formulate: Data Verification
2.7. Publish: Research Report
2.8. Repeat: Report Update
3. Executive Summary
4. Market Overview
4.1. Introduction
4.2. Market Sizing & Forecasting
5. Market Dynamics
5.1. Integration of satellite imagery and AI algorithms for hyperlocal irrigation scheduling
5.2. Deployment of IoT sensor networks enabling real-time soil moisture and weather data analytics
5.3. Adoption of cloud-based irrigation platforms for multi-site remote water management
5.4. Implementation of predictive water demand forecasting powered by machine learning models
5.5. Development of mobile-first user interfaces for field-level irrigation system control
5.6. Emergence of subscription-based SaaS pricing models driving accessibility for small growers
5.7. Integration of drone-based aerial surveys with irrigation scheduling for precision crop health monitoring
6. Market Insights
6.1. Porter’s Five Forces Analysis
6.2. PESTLE Analysis
7. Cumulative Impact of United States Tariffs 2025
8. Irrigation Scheduling Software Market, by Scheduling Technology
8.1. Introduction
8.2. Evapotranspiration
8.3. Satellite Imaging
8.4. Soil Moisture
8.5. Weather
9. Irrigation Scheduling Software Market, by End User
9.1. Introduction
9.2. Agriculture
9.3. Horticulture
9.4. Landscape
9.5. Turf
10. Irrigation Scheduling Software Market, by Application
10.1. Introduction
10.2. Drip
10.2.1. Subsurface Drip
10.2.2. Surface Drip
10.3. Sprinkler
10.3.1. Center Pivot
10.3.2. Fixed Spray
10.3.3. Lateral Move
10.4. Surface
10.4.1. Flood
10.4.2. Furrow
11. Irrigation Scheduling Software Market, by Deployment Model
11.1. Introduction
11.2. Cloud
11.3. On Premise
12. Irrigation Scheduling Software Market, by Distribution Channel
12.1. Introduction
12.2. Direct
12.3. Online
12.4. Third Party
13. Americas Irrigation Scheduling Software Market
13.1. Introduction
13.2. United States
13.3. Canada
13.4. Mexico
13.5. Brazil
13.6. Argentina
14. Europe, Middle East & Africa Irrigation Scheduling Software Market
14.1. Introduction
14.2. United Kingdom
14.3. Germany
14.4. France
14.5. Russia
14.6. Italy
14.7. Spain
14.8. United Arab Emirates
14.9. Saudi Arabia
14.10. South Africa
14.11. Denmark
14.12. Netherlands
14.13. Qatar
14.14. Finland
14.15. Sweden
14.16. Nigeria
14.17. Egypt
14.18. Turkey
14.19. Israel
14.20. Norway
14.21. Poland
14.22. Switzerland
15. Asia-Pacific Irrigation Scheduling Software Market
15.1. Introduction
15.2. China
15.3. India
15.4. Japan
15.5. Australia
15.6. South Korea
15.7. Indonesia
15.8. Thailand
15.9. Philippines
15.10. Malaysia
15.11. Singapore
15.12. Vietnam
15.13. Taiwan
16. Competitive Landscape
16.1. Market Share Analysis, 2024
16.2. FPNV Positioning Matrix, 2024
16.3. Competitive Analysis
16.3.1. The Toro Company
16.3.2. Lindsay Corporation
16.3.3. Valmont Industries, Inc.
16.3.4. Jain Irrigation Systems Limited
16.3.5. Netafim Ltd
16.3.6. Rain Bird Corporation
16.3.7. Rivulis Irrigation Ltd
16.3.8. HydroPoint Data Systems, Inc.
16.3.9. Rachio, Inc.
16.3.10. CropX Inc.
17. ResearchAI
18. ResearchStatistics
19. ResearchContacts
20. ResearchArticles
21. Appendix
List of Figures
FIGURE 1. IRRIGATION SCHEDULING SOFTWARE MARKET RESEARCH PROCESS
FIGURE 2. GLOBAL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, 2018-2030 (USD MILLION)
FIGURE 3. GLOBAL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY REGION, 2024 VS 2025 VS 2030 (USD MILLION)
FIGURE 4. GLOBAL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
FIGURE 5. GLOBAL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SCHEDULING TECHNOLOGY, 2024 VS 2030 (%)
FIGURE 6. GLOBAL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SCHEDULING TECHNOLOGY, 2024 VS 2025 VS 2030 (USD MILLION)
FIGURE 7. GLOBAL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY END USER, 2024 VS 2030 (%)
FIGURE 8. GLOBAL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY END USER, 2024 VS 2025 VS 2030 (USD MILLION)
FIGURE 9. GLOBAL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY APPLICATION, 2024 VS 2030 (%)
FIGURE 10. GLOBAL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY APPLICATION, 2024 VS 2025 VS 2030 (USD MILLION)
FIGURE 11. GLOBAL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DEPLOYMENT MODEL, 2024 VS 2030 (%)
FIGURE 12. GLOBAL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DEPLOYMENT MODEL, 2024 VS 2025 VS 2030 (USD MILLION)
FIGURE 13. GLOBAL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DISTRIBUTION CHANNEL, 2024 VS 2030 (%)
FIGURE 14. GLOBAL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DISTRIBUTION CHANNEL, 2024 VS 2025 VS 2030 (USD MILLION)
FIGURE 15. AMERICAS IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY COUNTRY, 2024 VS 2030 (%)
FIGURE 16. AMERICAS IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
FIGURE 17. UNITED STATES IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY STATE, 2024 VS 2030 (%)
FIGURE 18. UNITED STATES IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY STATE, 2024 VS 2025 VS 2030 (USD MILLION)
FIGURE 19. EUROPE, MIDDLE EAST & AFRICA IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY COUNTRY, 2024 VS 2030 (%)
FIGURE 20. EUROPE, MIDDLE EAST & AFRICA IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
FIGURE 21. ASIA-PACIFIC IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY COUNTRY, 2024 VS 2030 (%)
FIGURE 22. ASIA-PACIFIC IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
FIGURE 23. IRRIGATION SCHEDULING SOFTWARE MARKET SHARE, BY KEY PLAYER, 2024
FIGURE 24. IRRIGATION SCHEDULING SOFTWARE MARKET, FPNV POSITIONING MATRIX, 2024
FIGURE 25. IRRIGATION SCHEDULING SOFTWARE MARKET: RESEARCHAI
FIGURE 26. IRRIGATION SCHEDULING SOFTWARE MARKET: RESEARCHSTATISTICS
FIGURE 27. IRRIGATION SCHEDULING SOFTWARE MARKET: RESEARCHCONTACTS
FIGURE 28. IRRIGATION SCHEDULING SOFTWARE MARKET: RESEARCHARTICLES
List of Tables
TABLE 1. IRRIGATION SCHEDULING SOFTWARE MARKET SEGMENTATION & COVERAGE
TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2024
TABLE 3. GLOBAL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, 2018-2024 (USD MILLION)
TABLE 4. GLOBAL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, 2025-2030 (USD MILLION)
TABLE 5. GLOBAL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY REGION, 2018-2024 (USD MILLION)
TABLE 6. GLOBAL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY REGION, 2025-2030 (USD MILLION)
TABLE 7. GLOBAL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY COUNTRY, 2018-2024 (USD MILLION)
TABLE 8. GLOBAL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY COUNTRY, 2025-2030 (USD MILLION)
TABLE 9. GLOBAL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SCHEDULING TECHNOLOGY, 2018-2024 (USD MILLION)
TABLE 10. GLOBAL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SCHEDULING TECHNOLOGY, 2025-2030 (USD MILLION)
TABLE 11. GLOBAL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY EVAPOTRANSPIRATION, BY REGION, 2018-2024 (USD MILLION)
TABLE 12. GLOBAL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY EVAPOTRANSPIRATION, BY REGION, 2025-2030 (USD MILLION)
TABLE 13. GLOBAL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SATELLITE IMAGING, BY REGION, 2018-2024 (USD MILLION)
TABLE 14. GLOBAL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SATELLITE IMAGING, BY REGION, 2025-2030 (USD MILLION)
TABLE 15. GLOBAL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SOIL MOISTURE, BY REGION, 2018-2024 (USD MILLION)
TABLE 16. GLOBAL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SOIL MOISTURE, BY REGION, 2025-2030 (USD MILLION)
TABLE 17. GLOBAL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY WEATHER, BY REGION, 2018-2024 (USD MILLION)
TABLE 18. GLOBAL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY WEATHER, BY REGION, 2025-2030 (USD MILLION)
TABLE 19. GLOBAL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY END USER, 2018-2024 (USD MILLION)
TABLE 20. GLOBAL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY END USER, 2025-2030 (USD MILLION)
TABLE 21. GLOBAL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY AGRICULTURE, BY REGION, 2018-2024 (USD MILLION)
TABLE 22. GLOBAL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY AGRICULTURE, BY REGION, 2025-2030 (USD MILLION)
TABLE 23. GLOBAL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY HORTICULTURE, BY REGION, 2018-2024 (USD MILLION)
TABLE 24. GLOBAL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY HORTICULTURE, BY REGION, 2025-2030 (USD MILLION)
TABLE 25. GLOBAL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY LANDSCAPE, BY REGION, 2018-2024 (USD MILLION)
TABLE 26. GLOBAL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY LANDSCAPE, BY REGION, 2025-2030 (USD MILLION)
TABLE 27. GLOBAL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY TURF, BY REGION, 2018-2024 (USD MILLION)
TABLE 28. GLOBAL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY TURF, BY REGION, 2025-2030 (USD MILLION)
TABLE 29. GLOBAL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
TABLE 30. GLOBAL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY APPLICATION, 2025-2030 (USD MILLION)
TABLE 31. GLOBAL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DRIP, BY REGION, 2018-2024 (USD MILLION)
TABLE 32. GLOBAL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DRIP, BY REGION, 2025-2030 (USD MILLION)
TABLE 33. GLOBAL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SUBSURFACE DRIP, BY REGION, 2018-2024 (USD MILLION)
TABLE 34. GLOBAL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SUBSURFACE DRIP, BY REGION, 2025-2030 (USD MILLION)
TABLE 35. GLOBAL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SURFACE DRIP, BY REGION, 2018-2024 (USD MILLION)
TABLE 36. GLOBAL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SURFACE DRIP, BY REGION, 2025-2030 (USD MILLION)
TABLE 37. GLOBAL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DRIP, 2018-2024 (USD MILLION)
TABLE 38. GLOBAL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DRIP, 2025-2030 (USD MILLION)
TABLE 39. GLOBAL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SPRINKLER, BY REGION, 2018-2024 (USD MILLION)
TABLE 40. GLOBAL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SPRINKLER, BY REGION, 2025-2030 (USD MILLION)
TABLE 41. GLOBAL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY CENTER PIVOT, BY REGION, 2018-2024 (USD MILLION)
TABLE 42. GLOBAL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY CENTER PIVOT, BY REGION, 2025-2030 (USD MILLION)
TABLE 43. GLOBAL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY FIXED SPRAY, BY REGION, 2018-2024 (USD MILLION)
TABLE 44. GLOBAL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY FIXED SPRAY, BY REGION, 2025-2030 (USD MILLION)
TABLE 45. GLOBAL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY LATERAL MOVE, BY REGION, 2018-2024 (USD MILLION)
TABLE 46. GLOBAL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY LATERAL MOVE, BY REGION, 2025-2030 (USD MILLION)
TABLE 47. GLOBAL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SPRINKLER, 2018-2024 (USD MILLION)
TABLE 48. GLOBAL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SPRINKLER, 2025-2030 (USD MILLION)
TABLE 49. GLOBAL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SURFACE, BY REGION, 2018-2024 (USD MILLION)
TABLE 50. GLOBAL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SURFACE, BY REGION, 2025-2030 (USD MILLION)
TABLE 51. GLOBAL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY FLOOD, BY REGION, 2018-2024 (USD MILLION)
TABLE 52. GLOBAL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY FLOOD, BY REGION, 2025-2030 (USD MILLION)
TABLE 53. GLOBAL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY FURROW, BY REGION, 2018-2024 (USD MILLION)
TABLE 54. GLOBAL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY FURROW, BY REGION, 2025-2030 (USD MILLION)
TABLE 55. GLOBAL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SURFACE, 2018-2024 (USD MILLION)
TABLE 56. GLOBAL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SURFACE, 2025-2030 (USD MILLION)
TABLE 57. GLOBAL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2024 (USD MILLION)
TABLE 58. GLOBAL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DEPLOYMENT MODEL, 2025-2030 (USD MILLION)
TABLE 59. GLOBAL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY CLOUD, BY REGION, 2018-2024 (USD MILLION)
TABLE 60. GLOBAL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY CLOUD, BY REGION, 2025-2030 (USD MILLION)
TABLE 61. GLOBAL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY ON PREMISE, BY REGION, 2018-2024 (USD MILLION)
TABLE 62. GLOBAL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY ON PREMISE, BY REGION, 2025-2030 (USD MILLION)
TABLE 63. GLOBAL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DISTRIBUTION CHANNEL, 2018-2024 (USD MILLION)
TABLE 64. GLOBAL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DISTRIBUTION CHANNEL, 2025-2030 (USD MILLION)
TABLE 65. GLOBAL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DIRECT, BY REGION, 2018-2024 (USD MILLION)
TABLE 66. GLOBAL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DIRECT, BY REGION, 2025-2030 (USD MILLION)
TABLE 67. GLOBAL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY ONLINE, BY REGION, 2018-2024 (USD MILLION)
TABLE 68. GLOBAL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY ONLINE, BY REGION, 2025-2030 (USD MILLION)
TABLE 69. GLOBAL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY THIRD PARTY, BY REGION, 2018-2024 (USD MILLION)
TABLE 70. GLOBAL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY THIRD PARTY, BY REGION, 2025-2030 (USD MILLION)
TABLE 71. AMERICAS IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SCHEDULING TECHNOLOGY, 2018-2024 (USD MILLION)
TABLE 72. AMERICAS IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SCHEDULING TECHNOLOGY, 2025-2030 (USD MILLION)
TABLE 73. AMERICAS IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY END USER, 2018-2024 (USD MILLION)
TABLE 74. AMERICAS IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY END USER, 2025-2030 (USD MILLION)
TABLE 75. AMERICAS IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
TABLE 76. AMERICAS IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY APPLICATION, 2025-2030 (USD MILLION)
TABLE 77. AMERICAS IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DRIP, 2018-2024 (USD MILLION)
TABLE 78. AMERICAS IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DRIP, 2025-2030 (USD MILLION)
TABLE 79. AMERICAS IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SPRINKLER, 2018-2024 (USD MILLION)
TABLE 80. AMERICAS IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SPRINKLER, 2025-2030 (USD MILLION)
TABLE 81. AMERICAS IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SURFACE, 2018-2024 (USD MILLION)
TABLE 82. AMERICAS IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SURFACE, 2025-2030 (USD MILLION)
TABLE 83. AMERICAS IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2024 (USD MILLION)
TABLE 84. AMERICAS IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DEPLOYMENT MODEL, 2025-2030 (USD MILLION)
TABLE 85. AMERICAS IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DISTRIBUTION CHANNEL, 2018-2024 (USD MILLION)
TABLE 86. AMERICAS IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DISTRIBUTION CHANNEL, 2025-2030 (USD MILLION)
TABLE 87. AMERICAS IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY COUNTRY, 2018-2024 (USD MILLION)
TABLE 88. AMERICAS IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY COUNTRY, 2025-2030 (USD MILLION)
TABLE 89. UNITED STATES IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SCHEDULING TECHNOLOGY, 2018-2024 (USD MILLION)
TABLE 90. UNITED STATES IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SCHEDULING TECHNOLOGY, 2025-2030 (USD MILLION)
TABLE 91. UNITED STATES IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY END USER, 2018-2024 (USD MILLION)
TABLE 92. UNITED STATES IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY END USER, 2025-2030 (USD MILLION)
TABLE 93. UNITED STATES IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
TABLE 94. UNITED STATES IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY APPLICATION, 2025-2030 (USD MILLION)
TABLE 95. UNITED STATES IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DRIP, 2018-2024 (USD MILLION)
TABLE 96. UNITED STATES IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DRIP, 2025-2030 (USD MILLION)
TABLE 97. UNITED STATES IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SPRINKLER, 2018-2024 (USD MILLION)
TABLE 98. UNITED STATES IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SPRINKLER, 2025-2030 (USD MILLION)
TABLE 99. UNITED STATES IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SURFACE, 2018-2024 (USD MILLION)
TABLE 100. UNITED STATES IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SURFACE, 2025-2030 (USD MILLION)
TABLE 101. UNITED STATES IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2024 (USD MILLION)
TABLE 102. UNITED STATES IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DEPLOYMENT MODEL, 2025-2030 (USD MILLION)
TABLE 103. UNITED STATES IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DISTRIBUTION CHANNEL, 2018-2024 (USD MILLION)
TABLE 104. UNITED STATES IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DISTRIBUTION CHANNEL, 2025-2030 (USD MILLION)
TABLE 105. UNITED STATES IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY STATE, 2018-2024 (USD MILLION)
TABLE 106. UNITED STATES IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY STATE, 2025-2030 (USD MILLION)
TABLE 107. CANADA IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SCHEDULING TECHNOLOGY, 2018-2024 (USD MILLION)
TABLE 108. CANADA IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SCHEDULING TECHNOLOGY, 2025-2030 (USD MILLION)
TABLE 109. CANADA IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY END USER, 2018-2024 (USD MILLION)
TABLE 110. CANADA IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY END USER, 2025-2030 (USD MILLION)
TABLE 111. CANADA IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
TABLE 112. CANADA IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY APPLICATION, 2025-2030 (USD MILLION)
TABLE 113. CANADA IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DRIP, 2018-2024 (USD MILLION)
TABLE 114. CANADA IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DRIP, 2025-2030 (USD MILLION)
TABLE 115. CANADA IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SPRINKLER, 2018-2024 (USD MILLION)
TABLE 116. CANADA IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SPRINKLER, 2025-2030 (USD MILLION)
TABLE 117. CANADA IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SURFACE, 2018-2024 (USD MILLION)
TABLE 118. CANADA IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SURFACE, 2025-2030 (USD MILLION)
TABLE 119. CANADA IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2024 (USD MILLION)
TABLE 120. CANADA IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DEPLOYMENT MODEL, 2025-2030 (USD MILLION)
TABLE 121. CANADA IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DISTRIBUTION CHANNEL, 2018-2024 (USD MILLION)
TABLE 122. CANADA IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DISTRIBUTION CHANNEL, 2025-2030 (USD MILLION)
TABLE 123. MEXICO IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SCHEDULING TECHNOLOGY, 2018-2024 (USD MILLION)
TABLE 124. MEXICO IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SCHEDULING TECHNOLOGY, 2025-2030 (USD MILLION)
TABLE 125. MEXICO IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY END USER, 2018-2024 (USD MILLION)
TABLE 126. MEXICO IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY END USER, 2025-2030 (USD MILLION)
TABLE 127. MEXICO IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
TABLE 128. MEXICO IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY APPLICATION, 2025-2030 (USD MILLION)
TABLE 129. MEXICO IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DRIP, 2018-2024 (USD MILLION)
TABLE 130. MEXICO IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DRIP, 2025-2030 (USD MILLION)
TABLE 131. MEXICO IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SPRINKLER, 2018-2024 (USD MILLION)
TABLE 132. MEXICO IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SPRINKLER, 2025-2030 (USD MILLION)
TABLE 133. MEXICO IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SURFACE, 2018-2024 (USD MILLION)
TABLE 134. MEXICO IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SURFACE, 2025-2030 (USD MILLION)
TABLE 135. MEXICO IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2024 (USD MILLION)
TABLE 136. MEXICO IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DEPLOYMENT MODEL, 2025-2030 (USD MILLION)
TABLE 137. MEXICO IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DISTRIBUTION CHANNEL, 2018-2024 (USD MILLION)
TABLE 138. MEXICO IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DISTRIBUTION CHANNEL, 2025-2030 (USD MILLION)
TABLE 139. BRAZIL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SCHEDULING TECHNOLOGY, 2018-2024 (USD MILLION)
TABLE 140. BRAZIL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SCHEDULING TECHNOLOGY, 2025-2030 (USD MILLION)
TABLE 141. BRAZIL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY END USER, 2018-2024 (USD MILLION)
TABLE 142. BRAZIL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY END USER, 2025-2030 (USD MILLION)
TABLE 143. BRAZIL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
TABLE 144. BRAZIL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY APPLICATION, 2025-2030 (USD MILLION)
TABLE 145. BRAZIL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DRIP, 2018-2024 (USD MILLION)
TABLE 146. BRAZIL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DRIP, 2025-2030 (USD MILLION)
TABLE 147. BRAZIL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SPRINKLER, 2018-2024 (USD MILLION)
TABLE 148. BRAZIL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SPRINKLER, 2025-2030 (USD MILLION)
TABLE 149. BRAZIL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SURFACE, 2018-2024 (USD MILLION)
TABLE 150. BRAZIL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SURFACE, 2025-2030 (USD MILLION)
TABLE 151. BRAZIL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2024 (USD MILLION)
TABLE 152. BRAZIL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DEPLOYMENT MODEL, 2025-2030 (USD MILLION)
TABLE 153. BRAZIL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DISTRIBUTION CHANNEL, 2018-2024 (USD MILLION)
TABLE 154. BRAZIL IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DISTRIBUTION CHANNEL, 2025-2030 (USD MILLION)
TABLE 155. ARGENTINA IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SCHEDULING TECHNOLOGY, 2018-2024 (USD MILLION)
TABLE 156. ARGENTINA IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SCHEDULING TECHNOLOGY, 2025-2030 (USD MILLION)
TABLE 157. ARGENTINA IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY END USER, 2018-2024 (USD MILLION)
TABLE 158. ARGENTINA IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY END USER, 2025-2030 (USD MILLION)
TABLE 159. ARGENTINA IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
TABLE 160. ARGENTINA IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY APPLICATION, 2025-2030 (USD MILLION)
TABLE 161. ARGENTINA IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DRIP, 2018-2024 (USD MILLION)
TABLE 162. ARGENTINA IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DRIP, 2025-2030 (USD MILLION)
TABLE 163. ARGENTINA IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SPRINKLER, 2018-2024 (USD MILLION)
TABLE 164. ARGENTINA IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SPRINKLER, 2025-2030 (USD MILLION)
TABLE 165. ARGENTINA IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SURFACE, 2018-2024 (USD MILLION)
TABLE 166. ARGENTINA IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SURFACE, 2025-2030 (USD MILLION)
TABLE 167. ARGENTINA IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2024 (USD MILLION)
TABLE 168. ARGENTINA IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DEPLOYMENT MODEL, 2025-2030 (USD MILLION)
TABLE 169. ARGENTINA IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DISTRIBUTION CHANNEL, 2018-2024 (USD MILLION)
TABLE 170. ARGENTINA IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DISTRIBUTION CHANNEL, 2025-2030 (USD MILLION)
TABLE 171. EUROPE, MIDDLE EAST & AFRICA IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SCHEDULING TECHNOLOGY, 2018-2024 (USD MILLION)
TABLE 172. EUROPE, MIDDLE EAST & AFRICA IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SCHEDULING TECHNOLOGY, 2025-2030 (USD MILLION)
TABLE 173. EUROPE, MIDDLE EAST & AFRICA IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY END USER, 2018-2024 (USD MILLION)
TABLE 174. EUROPE, MIDDLE EAST & AFRICA IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY END USER, 2025-2030 (USD MILLION)
TABLE 175. EUROPE, MIDDLE EAST & AFRICA IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
TABLE 176. EUROPE, MIDDLE EAST & AFRICA IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY APPLICATION, 2025-2030 (USD MILLION)
TABLE 177. EUROPE, MIDDLE EAST & AFRICA IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DRIP, 2018-2024 (USD MILLION)
TABLE 178. EUROPE, MIDDLE EAST & AFRICA IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DRIP, 2025-2030 (USD MILLION)
TABLE 179. EUROPE, MIDDLE EAST & AFRICA IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SPRINKLER, 2018-2024 (USD MILLION)
TABLE 180. EUROPE, MIDDLE EAST & AFRICA IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SPRINKLER, 2025-2030 (USD MILLION)
TABLE 181. EUROPE, MIDDLE EAST & AFRICA IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SURFACE, 2018-2024 (USD MILLION)
TABLE 182. EUROPE, MIDDLE EAST & AFRICA IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SURFACE, 2025-2030 (USD MILLION)
TABLE 183. EUROPE, MIDDLE EAST & AFRICA IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2024 (USD MILLION)
TABLE 184. EUROPE, MIDDLE EAST & AFRICA IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DEPLOYMENT MODEL, 2025-2030 (USD MILLION)
TABLE 185. EUROPE, MIDDLE EAST & AFRICA IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DISTRIBUTION CHANNEL, 2018-2024 (USD MILLION)
TABLE 186. EUROPE, MIDDLE EAST & AFRICA IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DISTRIBUTION CHANNEL, 2025-2030 (USD MILLION)
TABLE 187. EUROPE, MIDDLE EAST & AFRICA IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY COUNTRY, 2018-2024 (USD MILLION)
TABLE 188. EUROPE, MIDDLE EAST & AFRICA IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY COUNTRY, 2025-2030 (USD MILLION)
TABLE 189. UNITED KINGDOM IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SCHEDULING TECHNOLOGY, 2018-2024 (USD MILLION)
TABLE 190. UNITED KINGDOM IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SCHEDULING TECHNOLOGY, 2025-2030 (USD MILLION)
TABLE 191. UNITED KINGDOM IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY END USER, 2018-2024 (USD MILLION)
TABLE 192. UNITED KINGDOM IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY END USER, 2025-2030 (USD MILLION)
TABLE 193. UNITED KINGDOM IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
TABLE 194. UNITED KINGDOM IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY APPLICATION, 2025-2030 (USD MILLION)
TABLE 195. UNITED KINGDOM IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DRIP, 2018-2024 (USD MILLION)
TABLE 196. UNITED KINGDOM IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DRIP, 2025-2030 (USD MILLION)
TABLE 197. UNITED KINGDOM IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SPRINKLER, 2018-2024 (USD MILLION)
TABLE 198. UNITED KINGDOM IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SPRINKLER, 2025-2030 (USD MILLION)
TABLE 199. UNITED KINGDOM IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SURFACE, 2018-2024 (USD MILLION)
TABLE 200. UNITED KINGDOM IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SURFACE, 2025-2030 (USD MILLION)
TABLE 201. UNITED KINGDOM IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2024 (USD MILLION)
TABLE 202. UNITED KINGDOM IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DEPLOYMENT MODEL, 2025-2030 (USD MILLION)
TABLE 203. UNITED KINGDOM IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DISTRIBUTION CHANNEL, 2018-2024 (USD MILLION)
TABLE 204. UNITED KINGDOM IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DISTRIBUTION CHANNEL, 2025-2030 (USD MILLION)
TABLE 205. GERMANY IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SCHEDULING TECHNOLOGY, 2018-2024 (USD MILLION)
TABLE 206. GERMANY IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SCHEDULING TECHNOLOGY, 2025-2030 (USD MILLION)
TABLE 207. GERMANY IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY END USER, 2018-2024 (USD MILLION)
TABLE 208. GERMANY IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY END USER, 2025-2030 (USD MILLION)
TABLE 209. GERMANY IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
TABLE 210. GERMANY IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY APPLICATION, 2025-2030 (USD MILLION)
TABLE 211. GERMANY IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DRIP, 2018-2024 (USD MILLION)
TABLE 212. GERMANY IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DRIP, 2025-2030 (USD MILLION)
TABLE 213. GERMANY IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SPRINKLER, 2018-2024 (USD MILLION)
TABLE 214. GERMANY IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SPRINKLER, 2025-2030 (USD MILLION)
TABLE 215. GERMANY IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SURFACE, 2018-2024 (USD MILLION)
TABLE 216. GERMANY IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SURFACE, 2025-2030 (USD MILLION)
TABLE 217. GERMANY IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2024 (USD MILLION)
TABLE 218. GERMANY IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DEPLOYMENT MODEL, 2025-2030 (USD MILLION)
TABLE 219. GERMANY IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DISTRIBUTION CHANNEL, 2018-2024 (USD MILLION)
TABLE 220. GERMANY IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DISTRIBUTION CHANNEL, 2025-2030 (USD MILLION)
TABLE 221. FRANCE IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SCHEDULING TECHNOLOGY, 2018-2024 (USD MILLION)
TABLE 222. FRANCE IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SCHEDULING TECHNOLOGY, 2025-2030 (USD MILLION)
TABLE 223. FRANCE IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY END USER, 2018-2024 (USD MILLION)
TABLE 224. FRANCE IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY END USER, 2025-2030 (USD MILLION)
TABLE 225. FRANCE IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
TABLE 226. FRANCE IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY APPLICATION, 2025-2030 (USD MILLION)
TABLE 227. FRANCE IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DRIP, 2018-2024 (USD MILLION)
TABLE 228. FRANCE IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DRIP, 2025-2030 (USD MILLION)
TABLE 229. FRANCE IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SPRINKLER, 2018-2024 (USD MILLION)
TABLE 230. FRANCE IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SPRINKLER, 2025-2030 (USD MILLION)
TABLE 231. FRANCE IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SURFACE, 2018-2024 (USD MILLION)
TABLE 232. FRANCE IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SURFACE, 2025-2030 (USD MILLION)
TABLE 233. FRANCE IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2024 (USD MILLION)
TABLE 234. FRANCE IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DEPLOYMENT MODEL, 2025-2030 (USD MILLION)
TABLE 235. FRANCE IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DISTRIBUTION CHANNEL, 2018-2024 (USD MILLION)
TABLE 236. FRANCE IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DISTRIBUTION CHANNEL, 2025-2030 (USD MILLION)
TABLE 237. RUSSIA IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SCHEDULING TECHNOLOGY, 2018-2024 (USD MILLION)
TABLE 238. RUSSIA IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SCHEDULING TECHNOLOGY, 2025-2030 (USD MILLION)
TABLE 239. RUSSIA IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY END USER, 2018-2024 (USD MILLION)
TABLE 240. RUSSIA IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY END USER, 2025-2030 (USD MILLION)
TABLE 241. RUSSIA IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
TABLE 242. RUSSIA IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY APPLICATION, 2025-2030 (USD MILLION)
TABLE 243. RUSSIA IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DRIP, 2018-2024 (USD MILLION)
TABLE 244. RUSSIA IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DRIP, 2025-2030 (USD MILLION)
TABLE 245. RUSSIA IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SPRINKLER, 2018-2024 (USD MILLION)
TABLE 246. RUSSIA IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SPRINKLER, 2025-2030 (USD MILLION)
TABLE 247. RUSSIA IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SURFACE, 2018-2024 (USD MILLION)
TABLE 248. RUSSIA IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SURFACE, 2025-2030 (USD MILLION)
TABLE 249. RUSSIA IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2024 (USD MILLION)
TABLE 250. RUSSIA IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DEPLOYMENT MODEL, 2025-2030 (USD MILLION)
TABLE 251. RUSSIA IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DISTRIBUTION CHANNEL, 2018-2024 (USD MILLION)
TABLE 252. RUSSIA IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DISTRIBUTION CHANNEL, 2025-2030 (USD MILLION)
TABLE 253. ITALY IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SCHEDULING TECHNOLOGY, 2018-2024 (USD MILLION)
TABLE 254. ITALY IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SCHEDULING TECHNOLOGY, 2025-2030 (USD MILLION)
TABLE 255. ITALY IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY END USER, 2018-2024 (USD MILLION)
TABLE 256. ITALY IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY END USER, 2025-2030 (USD MILLION)
TABLE 257. ITALY IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
TABLE 258. ITALY IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY APPLICATION, 2025-2030 (USD MILLION)
TABLE 259. ITALY IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DRIP, 2018-2024 (USD MILLION)
TABLE 260. ITALY IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DRIP, 2025-2030 (USD MILLION)
TABLE 261. ITALY IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SPRINKLER, 2018-2024 (USD MILLION)
TABLE 262. ITALY IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SPRINKLER, 2025-2030 (USD MILLION)
TABLE 263. ITALY IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SURFACE, 2018-2024 (USD MILLION)
TABLE 264. ITALY IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SURFACE, 2025-2030 (USD MILLION)
TABLE 265. ITALY IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2024 (USD MILLION)
TABLE 266. ITALY IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DEPLOYMENT MODEL, 2025-2030 (USD MILLION)
TABLE 267. ITALY IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DISTRIBUTION CHANNEL, 2018-2024 (USD MILLION)
TABLE 268. ITALY IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DISTRIBUTION CHANNEL, 2025-2030 (USD MILLION)
TABLE 269. SPAIN IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SCHEDULING TECHNOLOGY, 2018-2024 (USD MILLION)
TABLE 270. SPAIN IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SCHEDULING TECHNOLOGY, 2025-2030 (USD MILLION)
TABLE 271. SPAIN IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY END USER, 2018-2024 (USD MILLION)
TABLE 272. SPAIN IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY END USER, 2025-2030 (USD MILLION)
TABLE 273. SPAIN IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
TABLE 274. SPAIN IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY APPLICATION, 2025-2030 (USD MILLION)
TABLE 275. SPAIN IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DRIP, 2018-2024 (USD MILLION)
TABLE 276. SPAIN IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DRIP, 2025-2030 (USD MILLION)
TABLE 277. SPAIN IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SPRINKLER, 2018-2024 (USD MILLION)
TABLE 278. SPAIN IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SPRINKLER, 2025-2030 (USD MILLION)
TABLE 279. SPAIN IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SURFACE, 2018-2024 (USD MILLION)
TABLE 280. SPAIN IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SURFACE, 2025-2030 (USD MILLION)
TABLE 281. SPAIN IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2024 (USD MILLION)
TABLE 282. SPAIN IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DEPLOYMENT MODEL, 2025-2030 (USD MILLION)
TABLE 283. SPAIN IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DISTRIBUTION CHANNEL, 2018-2024 (USD MILLION)
TABLE 284. SPAIN IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DISTRIBUTION CHANNEL, 2025-2030 (USD MILLION)
TABLE 285. UNITED ARAB EMIRATES IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SCHEDULING TECHNOLOGY, 2018-2024 (USD MILLION)
TABLE 286. UNITED ARAB EMIRATES IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SCHEDULING TECHNOLOGY, 2025-2030 (USD MILLION)
TABLE 287. UNITED ARAB EMIRATES IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY END USER, 2018-2024 (USD MILLION)
TABLE 288. UNITED ARAB EMIRATES IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY END USER, 2025-2030 (USD MILLION)
TABLE 289. UNITED ARAB EMIRATES IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
TABLE 290. UNITED ARAB EMIRATES IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY APPLICATION, 2025-2030 (USD MILLION)
TABLE 291. UNITED ARAB EMIRATES IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DRIP, 2018-2024 (USD MILLION)
TABLE 292. UNITED ARAB EMIRATES IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DRIP, 2025-2030 (USD MILLION)
TABLE 293. UNITED ARAB EMIRATES IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SPRINKLER, 2018-2024 (USD MILLION)
TABLE 294. UNITED ARAB EMIRATES IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SPRINKLER, 2025-2030 (USD MILLION)
TABLE 295. UNITED ARAB EMIRATES IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SURFACE, 2018-2024 (USD MILLION)
TABLE 296. UNITED ARAB EMIRATES IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SURFACE, 2025-2030 (USD MILLION)
TABLE 297. UNITED ARAB EMIRATES IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2024 (USD MILLION)
TABLE 298. UNITED ARAB EMIRATES IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DEPLOYMENT MODEL, 2025-2030 (USD MILLION)
TABLE 299. UNITED ARAB EMIRATES IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DISTRIBUTION CHANNEL, 2018-2024 (USD MILLION)
TABLE 300. UNITED ARAB EMIRATES IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DISTRIBUTION CHANNEL, 2025-2030 (USD MILLION)
TABLE 301. SAUDI ARABIA IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SCHEDULING TECHNOLOGY, 2018-2024 (USD MILLION)
TABLE 302. SAUDI ARABIA IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY SCHEDULING TECHNOLOGY, 2025-2030 (USD MILLION)
TABLE 303. SAUDI ARABIA IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY END USER, 2018-2024 (USD MILLION)
TABLE 304. SAUDI ARABIA IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY END USER, 2025-2030 (USD MILLION)
TABLE 305. SAUDI ARABIA IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
TABLE 306. SAUDI ARABIA IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY APPLICATION, 2025-2030 (USD MILLION)
TABLE 307. SAUDI ARABIA IRRIGATION SCHEDULING SOFTWARE MARKET SIZE, BY DRIP, 2018-2024 (USD MILLION)
TABLE 308. SAUDI ARABIA IRRIGATION S

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Companies Mentioned

The companies profiled in this Irrigation Scheduling Software market report include:
  • The Toro Company
  • Lindsay Corporation
  • Valmont Industries, Inc.
  • Jain Irrigation Systems Limited
  • Netafim Ltd
  • Rain Bird Corporation
  • Rivulis Irrigation Ltd
  • HydroPoint Data Systems, Inc.
  • Rachio, Inc.
  • CropX Inc.