智慧自动化灌溉解决方案市场按产品类型、灌溉方式、技术、作物、最终用户和部署类型划分－2026-2032年全球预测

预计到 2025 年，智慧自动化灌溉解决方案市场规模将达到 44.5 亿美元，到 2026 年将成长至 48.1 亿美元，到 2032 年将达到 89.6 亿美元，年复合成长率为 10.50%。

关键市场统计数据
基准年 2025	44.5亿美元
预计年份：2026年	48.1亿美元
预测年份 2032	89.6亿美元
复合年增长率 (%)	10.50%

智慧自动化灌溉的策略方法将技术、营运实际情况以及与相关人员。

智慧自动化灌溉透过结合感测技术、互联互通和数据驱动的控制策略，正在重塑农业、商业和住宅领域的水资源管理。本文概述了支撑该领域快速现代化的核心技术和营运驱动因素，并解释了价值链上相关人员为何正在重新思考传统做法。首先，我们探讨了自动化如何消除人工劳动的限制、减少浪费、实现精准资源分配，同时为系统整合商和服务供应商创造新的价值机会。

感测器技术的进步、广泛的连接性以及监管压力如何共同作用，重新定义灌溉系统的部署模式和价值获取方式？

自动化灌溉产业正经历一场变革，其驱动力包括技术的成熟、监管重点的转变以及相关人员对永续性的期望。感测器精度的提高和物联网连接的广泛应用，正推动灌溉方式从基于日历的灌溉转向基于条件的预测性灌溉。边缘运算和低功耗通讯技术的同步进步，降低了延迟和营运成本，使得自动化灌溉能够应用于各种规模的场景，从大型农业到小规模商业和住宅应用。

2025年关税变动对筹资策略、供应商多元化以及硬体利润与服务型收入之间平衡的影响

2025年生效的关税以及不断变化的贸易政策正在改变整个自动化灌溉价值链的采购计算、零件筹资策略和成本结构。供应链经理和采购团队正在重新评估供应商关係，以降低进口关税对控制器、管道、管件和电子机械阀门等硬体组件的影响。当进口成本出现不可预测的上涨时，企业会透过重新设计材料清单(BOM)、寻找替代供应商以及尽可能加快本地化生产来应对。

详细的細項分析揭示了不同系统类型、组件优先顺序、解决方案模型、最终用户需求、先进技术、作物需求和实施方法等因素如何影响系统采用率。

从灌溉类型、组件、解决方案、最终用户、技术、作物和部署模式等方面对市场进行細項分析，可以发现细分结果清晰地揭示了不同灌溉系统在采用模式、价值驱动因素和竞争动态的差异。不同类型的灌溉系统在资本密集度和维修复杂性方面有显着差异，其中滴灌系统优先考虑节水和易于维修的控制器，而喷灌和地面灌溉系统则需要考虑不同的水力设计因素。组件、控制器设计、管道材料、感测器品质和阀门可靠性等因素共同决定了生命週期成本和服务模式。因此，製造商和整合商必须使其产品蓝图与可维护性和韧体更新路径保持一致。

全球市场在政策、基础设施和农业实践方面的区域差异决定了打入市场策略和技术选择的客製化程度。

区域分析表明，水资源政策、基础设施成熟度和技术生态系统的地理差异将显着影响智慧灌溉的推广路径。美洲市场正朝着快速采用智慧灌溉技术的方向发展，这得益于农业规模的扩张、强大的私人服务模式以及旨在提高效率的市政水资源管理政策。对精密农业的投资以及精通技术的整合商的存在，为推动智慧灌溉从试点阶段向大规模部署阶段的过渡提供了有利条件。

竞争格局强调模组化硬体、开放式整合和以服务为中心的经营模式，以此作为长期客户维繫和经常性收入的基础。

在企业层面，整合产品系列、策略伙伴关係和服务主导经营模式的重要性日益凸显。领先的设备製造商正投资于模组化硬体设计和开放式整合框架，以支援第三方感测器和分析工具，从而延长产品生命週期并降低客户锁定风险。同时，软体平台供应商则在数据品质、进阶分析以及与农场管理系统和建筑自动化平台的便利整合方面竞争。

供应商和整合商为确保规模化发展可采取的切实可行的策略性措施：模组化产品蓝图、多元化供应来源、服务货币化以及投资互通性。

产业领导者应优先考虑能够加速产品普及、同时保障利润率和规模的跨职能策略。首先，应协调产品蓝图，实现模组化升级，使控制器、感测器和阀门能够独立进行现代化改造，从而减少维修阻力，并维持现有资产的价值。其次，应透过对区域製造合作伙伴进行资质认证，并维持支援采购弹性的多源零件供应体系，实现供应链多元化，进而降低关税风险。第三，为稳定收入来源，应从一次性设备销售转向混合交付模式，将安装服务、分析订阅和效能保证结合。

采用严格的混合方法，结合从业者访谈、技术评估、标准审查和多方面检验，确保了可靠的证据和检验。

我们的调查方法整合了一级资讯来源和二级资讯来源，以得出基于实证、以实践者观点中心的分析。一级资讯来源包括对系统整合商、组件製造商、灌溉顾问以及商业、住宅和农业领域最终用户的结构化访谈，并辅以对已安装系统的技术评估。我们将这些第一手资料与技术蓝图、标准文件和营运案例研究进行交叉比对，以检验实施假设和效能声明。

整合与策略要务：技术、供应韧性与服务模式的整合，为实现扩充性且永续性的灌溉成果铺平了道路。

总之，智慧自动化灌溉代表着水资源管理和营运效率在不同终端用户环境中的策略转折点。技术融合，结合精准感测、无所不在的连接和先进的分析技术，实现了基于情境的灌溉，从而减少资源浪费，并使资源利用与农业需求相匹配。同时，地缘政治和政策的变化正在重塑采购格局，并推动优先考虑经常性收入和本地韧性的经营模式的发展。

目录

第一章：序言

第二章调查方法

• 研究设计
• 研究框架
• 市场规模预测
• 数据三角测量
• 调查结果
• 调查前提
• 调查限制

第三章执行摘要

• 首席体验长观点
• 市场规模和成长趋势
• 2025年市占率分析
• FPNV定位矩阵，2025
• 新的商机
• 下一代经营模式
• 产业蓝图

第四章 市场概览

• 产业生态系与价值链分析
• 波特五力分析
• PESTEL 分析
• 市场展望
• 上市策略

第五章 市场洞察

• 消费者洞察与终端用户观点
• 消费者体验基准
• 机会地图
• 分销通路分析
• 价格趋势分析
• 监理合规和标准框架
• ESG与永续性分析
• 中断和风险情景
• 投资报酬率和成本效益分析

第六章：美国关税的累积影响，2025年

第七章：人工智慧的累积影响，2025年

8. 智慧自动化灌溉解决方案市场（依产品/服务分类）

• 软体
• 硬体
• 服务

9. 按灌溉方式分類的智慧自动化灌溉解决方案市场

• 滴灌
• 喷灌
• 地球表面

第十章 按技术分類的智慧自动化灌溉解决方案市场

• 人工智慧和机器学习分析
• 物联网和远端监控
• 土壤湿度感
• 天气预报

第十一章 按作物分類的智慧自动化灌溉解决方案市场

• 水果和蔬菜
• 田间作物
• 草坪和景观美化

第十二章 按最终用户分類的智慧自动化灌溉解决方案市场

• 农业
• 商业的
• 住宅

第十三章 按部署模式分類的智慧自动化灌溉解决方案市场

• 基于云端的
• 本地部署

第十四章 各地区智慧自动化灌溉解决方案市场

• 美洲
  • 北美洲
  • 拉丁美洲
• 欧洲、中东和非洲
  • 欧洲
  • 中东
  • 非洲
• 亚太地区

第十五章 智慧自动化灌溉解决方案市场（按组别划分）

• ASEAN
• GCC
• EU
• BRICS
• G7
• NATO

第十六章 各国智慧自动化灌溉解决方案市场

• 美国
• 加拿大
• 墨西哥
• 巴西
• 英国
• 德国
• 法国
• 俄罗斯
• 义大利
• 西班牙
• 中国
• 印度
• 日本
• 澳洲
• 韩国

第十七章：美国智慧自动化灌溉解决方案市场

第十八章：中国智慧自动灌溉解决方案市场

第十九章 竞争情势

• 市场集中度分析，2025年
  • 浓度比（CR）
  • 赫芬达尔-赫希曼指数 (HHI)
• 近期趋势及影响分析，2025 年
• 2025年产品系列分析
• 基准分析，2025 年
• CALSENSE
• Deere & Company
• Galcon
• Growlink, Inc.
• Hunter Industries Incorporated
• HydroPoint Data Systems, Inc.
• Jain Irrigation Systems Ltd.
• Lindsay Corporation
• Nelson Irrigation Corporation
• Netafim Ltd.
• Rachio, Inc.
• Rain Bird Corporation
• Ranch Systems, Inc.
• Rivulis Irrigation Ltd.
• Rubicon Water
• The Toro Company
• Valmont Industries, Inc.
• Xylem Inc.

The Intelligent Automated Irrigation Solutions Market was valued at USD 4.45 billion in 2025 and is projected to grow to USD 4.81 billion in 2026, with a CAGR of 10.50%, reaching USD 8.96 billion by 2032.

KEY MARKET STATISTICS
Base Year [2025]	USD 4.45 billion
Estimated Year [2026]	USD 4.81 billion
Forecast Year [2032]	USD 8.96 billion
CAGR (%)	10.50%

A strategic orientation to intelligent automated irrigation that frames technology convergence, operational realities, and decision-relevant implications for stakeholders

Intelligent automated irrigation is reshaping water management across agricultural, commercial, and residential landscapes by combining sensing, connectivity, and data-driven control strategies. This introduction frames the core technologies and operational drivers that underpin the sector's rapid modernization and explains why stakeholders across supply chains are reevaluating legacy practices. It begins by clarifying how automation dissolves manual constraints, reduces waste, and enables precision resource allocation while simultaneously creating new value streams for system integrators and service providers.

The narrative then situates the reader within a pragmatic view of deployment realities, highlighting real-world adoption patterns and the interoperability challenges that emerge as heterogeneous components are integrated. It addresses the evolving role of software and analytics in turning telemetry into actionable irrigation schedules and maintenance alerts. Finally, this section outlines the report's scope and analytical approach, setting expectations for strategic takeaways and operational guidance that follow. By connecting high-level trends to implementable insights, the introduction establishes a firm foundation for the deeper, segment-specific analysis in subsequent sections.

How sensor advancement, connectivity proliferation, and regulatory pressure are converging to redefine deployment models and value capture in irrigation systems

The landscape of automated irrigation is undergoing transformative shifts driven by technological maturation, changing regulatory priorities, and growing stakeholder expectations around sustainability. Advances in sensor fidelity and the proliferation of IoT connectivity are enabling a move away from calendar-based watering toward condition-based, predictive irrigation events. Concurrent advances in edge compute and low-power communications reduce latency and operational costs, making deployments viable for both large-scale agriculture and smaller commercial or residential applications.

Regulatory and water stewardship pressures are intensifying, prompting municipalities and water authorities to incentivize technologies that demonstrably reduce consumption. In parallel, service models are evolving: irrigation is increasingly offered as a managed service that blends hardware installations with subscription analytics and remote monitoring. Capital flow into platform vendors is shifting investment toward software and cloud capabilities, while component manufacturers prioritize modularity to support rapid field upgrades. These converging forces are creating a landscape where interoperability, data integrity, and resilient supply chains determine which solutions scale and which remain pilot projects.

How 2025 tariff shifts are reshaping sourcing strategies, supplier diversification, and the balance between hardware margins and service-oriented revenue

The introduction of tariffs and shifting trade policies in 2025 are altering procurement calculus, component sourcing strategies, and cost structures across the automated irrigation value chain. Supply chain managers and procurement teams are reevaluating vendor relationships to mitigate exposure to import duties that affect hardware components, including controllers, pipes, fittings, and electromechanical valves. When import costs rise unpredictably, organizations respond by redesigning bills of materials, qualifying alternative suppliers, and accelerating localization of manufacturing where feasible.

These responses have cascading operational effects: longer vendor qualification cycles, increased emphasis on inventory buffering, and a renewed appetite for partnerships with regional manufacturers. On the demand side, end users weigh upfront implementation costs against anticipated operational savings, which can temper adoption velocity for capital-intensive solutions. At the same time, tariff-driven margin compression is encouraging vendors to prioritize software-enabled recurring revenue and service contracts, offsetting short-term hardware cost volatility with longer-term customer engagement and monetization strategies.

In-depth segmentation analysis exposing divergent adoption drivers across system types, component priorities, solution models, end-user needs, advanced technologies, crop requirements, and deployment approaches

Segmentation insight reveals distinct adoption patterns, value drivers, and competitive dynamics when the market is examined across irrigation type, component, solution, end user, technology, crop, and deployment mode. Based on irrigation type, systems differ substantially in capital intensity and retrofit complexity, with drip systems favoring water efficiency and retrofit-friendly controllers while sprinkler and surface systems require different hydraulic design considerations. Based on component, controller design, pipe materials, sensor quality, and valve reliability drive lifecycle costs and service models, so manufacturers and integrators must align product road maps with maintainability and firmware update pathways.

Based on solution, the interplay between hardware robustness, professional services, and analytics-rich software defines total cost of ownership and creates opportunities for subscription revenues that extend beyond initial installation. Based on end user, agricultural operators prioritize crop yield and irrigation uniformity, commercial users emphasize landscape aesthetics and regulatory compliance, and residential customers focus on convenience and water savings. Based on technology, AI and ML analytics, IoT and remote monitoring, soil moisture sensing, and weather forecasting each contribute unique value chains: predictive models reduce water use while IoT connectivity enables centralized orchestration. Based on crop, system requirements for fruit and vegetable operations differ from row crops and from turf and landscape in sensor density and irrigation scheduling complexity. Based on deployment mode, cloud-based platforms enable fleet-level analytics and rapid feature delivery whereas on-premise deployments appeal to users with security or connectivity constraints. Together these segment lenses clarify where innovation will have the greatest commercial impact and where tailored go-to-market approaches are essential.

Regional differentiation in policy, infrastructure, and agronomic practice that dictates tailored go-to-market approaches and technology choices across global markets

Regional insights reveal that geographic variation in water policy, infrastructure maturity, and technology ecosystems materially shapes adoption pathways for intelligent irrigation. In the Americas, markets tend to favor rapid technology adoption driven by agricultural scale, strong private-sector service models, and municipal water management initiatives that incentivize efficiency. Investment in precision farming practices and the presence of technology-savvy integrators create fertile ground for pilot-to-scale transitions.

In Europe, Middle East & Africa, regulatory frameworks, water scarcity in key subregions, and heterogeneous infrastructure mean that deployment strategies must be customized; some markets emphasize regulatory compliance and subsidy-driven uptake while others prioritize low-capex, decentralized solutions. In the Asia-Pacific region, diverse agricultural contexts and fast-growing commercial construction activity generate both high-volume opportunities and complex logistical challenges. Throughout these regions, differences in network coverage, local manufacturing capacity, and agricultural practices influence the choice between centralized cloud platforms and edge-enabled, on-premise solutions, making regional go-to-market strategies a critical determinant of success.

Competitive dynamics emphasizing modular hardware, open integration, and service-centric models as the foundation for long-term customer retention and recurring revenue

Company-level dynamics underscore the importance of integrated portfolios, strategic partnerships, and service-led business models. Leading equipment manufacturers are investing in modular hardware designs and open integration frameworks to support third-party sensors and analytics, thereby extending product lifecycles and reducing customer lock-in concerns. Meanwhile, software platform providers compete on data quality, analytics sophistication, and ease of integration with farm management systems or building automation platforms.

Strategic partnerships between component suppliers, channel partners, and analytics firms are becoming the primary vehicle for scaling deployments because they combine hardware reliability with the operational expertise required for installation and long-term maintenance. Additionally, organizations that pair strong field-service capabilities with subscription analytics are better positioned to capture recurring revenue and to build high-retention customer bases. Competition also centers on user experience and the ability to deliver measurable water savings and operational uptime, creating room for focused innovators that address niche crop or deployment challenges.

Actionable strategic moves for vendors and integrators to secure scale: modular product road maps, supply diversification, service monetization, and interoperability investments

Industry leaders should prioritize cross-functional strategies that accelerate adoption while protecting margin and scale. First, align product road maps to enable modular upgrades so that controllers, sensors, and valves can be modernized independently, reducing retrofit friction and protecting installed-base value. Second, diversify supply chains to reduce tariff exposure by qualifying regional manufacturing partners and maintaining multi-sourced component pipelines that support flexible procurement. Third, transition commercial models from one-time equipment sales to blended offers that combine installation services, analytics subscriptions, and performance guarantees to stabilize revenue streams.

Fourth, invest in data interoperability and standardized communication protocols to lower integration costs for third-party platforms and to foster broader ecosystem participation. Fifth, develop outcome-focused offerings that tie product performance to water savings and crop outcomes, thereby supporting incentive-based procurement and public-private partnerships. Finally, build robust customer success and field-service teams to ensure deployments meet operational expectations, which will sustain renewal rates and facilitate upsell into adjacent services such as predictive maintenance and irrigation optimization.

A rigorous mixed-methods approach combining practitioner interviews, technical assessments, standards review, and multi-source triangulation to ensure robust evidence and validation

The research methodology synthesizes primary and secondary sources to generate an evidence-based, practitioner-focused analysis. Primary inputs include structured interviews with system integrators, component manufacturers, irrigation consultants, and end users across commercial, residential, and agricultural segments, supplemented by technical assessments of deployed systems. These firsthand perspectives are cross-referenced with technology road maps, standards documentation, and operational case studies to validate deployment assumptions and performance claims.

Secondary analysis incorporates product literature, regulatory documentation, and academic work on sensor technologies and predictive analytics, alongside supply chain visibility derived from publicly available customs and trade data. Analytical techniques include comparative feature mapping, scenario planning to assess tariff impacts and supply disruptions, and triangulation across independent sources to mitigate single-source bias. Throughout, quality controls ensure that assertions are corroborated by multiple data points and that technical descriptions align with current engineering and agronomic practice.

Synthesis and strategic imperatives outlining how technology, supply resilience, and service models converge to deliver scalable and sustainable irrigation outcomes

In summary, intelligent automated irrigation represents a strategic inflection point for water stewardship and operational efficiency across multiple end-use contexts. Technological convergence-combining high-fidelity sensing, ubiquitous connectivity, and advanced analytics-is enabling condition-based irrigation that reduces waste and aligns resource use with agronomic needs. At the same time, geopolitical and policy shifts are reframing procurement dynamics and encouraging business models that emphasize recurring revenue and local resilience.

To capture the opportunity, stakeholders must act on multiple fronts: building modular hardware strategies, investing in data interoperability, diversifying supply chains, and developing service-led offerings that deliver verifiable outcomes. When these elements are combined, they create a durable foundation for scaling intelligent irrigation solutions that are both commercially sustainable and environmentally responsible. The conclusion reinforces the strategic imperative for organizations to translate insight into decisive action that balances short-term operational realities with long-term value creation.

Table of Contents

1. Preface

• 1.1. Objectives of the Study
• 1.2. Market Definition
• 1.3. Market Segmentation & Coverage
• 1.4. Years Considered for the Study
• 1.5. Currency Considered for the Study
• 1.6. Language Considered for the Study
• 1.7. Key Stakeholders

2. Research Methodology

• 2.1. Introduction
• 2.2. Research Design
  • 2.2.1. Primary Research
  • 2.2.2. Secondary Research
• 2.3. Research Framework
  • 2.3.1. Qualitative Analysis
  • 2.3.2. Quantitative Analysis
• 2.4. Market Size Estimation
  • 2.4.1. Top-Down Approach
  • 2.4.2. Bottom-Up Approach
• 2.5. Data Triangulation
• 2.6. Research Outcomes
• 2.7. Research Assumptions
• 2.8. Research Limitations

3. Executive Summary

• 3.1. Introduction
• 3.2. CXO Perspective
• 3.3. Market Size & Growth Trends
• 3.4. Market Share Analysis, 2025
• 3.5. FPNV Positioning Matrix, 2025
• 3.6. New Revenue Opportunities
• 3.7. Next-Generation Business Models
• 3.8. Industry Roadmap

4. Market Overview

• 4.1. Introduction
• 4.2. Industry Ecosystem & Value Chain Analysis
  • 4.2.1. Supply-Side Analysis
  • 4.2.2. Demand-Side Analysis
  • 4.2.3. Stakeholder Analysis
• 4.3. Porter's Five Forces Analysis
• 4.4. PESTLE Analysis
• 4.5. Market Outlook
  • 4.5.1. Near-Term Market Outlook (0-2 Years)
  • 4.5.2. Medium-Term Market Outlook (3-5 Years)
  • 4.5.3. Long-Term Market Outlook (5-10 Years)
• 4.6. Go-to-Market Strategy

5. Market Insights

• 5.1. Consumer Insights & End-User Perspective
• 5.2. Consumer Experience Benchmarking
• 5.3. Opportunity Mapping
• 5.4. Distribution Channel Analysis
• 5.5. Pricing Trend Analysis
• 5.6. Regulatory Compliance & Standards Framework
• 5.7. ESG & Sustainability Analysis
• 5.8. Disruption & Risk Scenarios
• 5.9. Return on Investment & Cost-Benefit Analysis

6. Cumulative Impact of United States Tariffs 2025

7. Cumulative Impact of Artificial Intelligence 2025

8. Intelligent Automated Irrigation Solutions Market, by Offering

• 8.1. Software
• 8.2. Hardware
• 8.3. Service

9. Intelligent Automated Irrigation Solutions Market, by Irrigation Type

• 9.1. Drip
• 9.2. Sprinkler
• 9.3. Surface

10. Intelligent Automated Irrigation Solutions Market, by Technology

• 10.1. AI & ML Analytics
• 10.2. IoT & Remote Monitoring
• 10.3. Soil Moisture Sensing
• 10.4. Weather Forecasting

11. Intelligent Automated Irrigation Solutions Market, by Crop

• 11.1. Fruit And Vegetable
• 11.2. Row Crop
• 11.3. Turf And Landscape

12. Intelligent Automated Irrigation Solutions Market, by End User

• 12.1. Agricultural
• 12.2. Commercial
• 12.3. Residential

13. Intelligent Automated Irrigation Solutions Market, by Deployment Mode

• 13.1. Cloud Based
• 13.2. On Premise

14. Intelligent Automated Irrigation Solutions Market, by Region

• 14.1. Americas
  • 14.1.1. North America
  • 14.1.2. Latin America
• 14.2. Europe, Middle East & Africa
  • 14.2.1. Europe
  • 14.2.2. Middle East
  • 14.2.3. Africa
• 14.3. Asia-Pacific

15. Intelligent Automated Irrigation Solutions Market, by Group

• 15.1. ASEAN
• 15.2. GCC
• 15.3. European Union
• 15.4. BRICS
• 15.5. G7
• 15.6. NATO

16. Intelligent Automated Irrigation Solutions Market, by Country

• 16.1. United States
• 16.2. Canada
• 16.3. Mexico
• 16.4. Brazil
• 16.5. United Kingdom
• 16.6. Germany
• 16.7. France
• 16.8. Russia
• 16.9. Italy
• 16.10. Spain
• 16.11. China
• 16.12. India
• 16.13. Japan
• 16.14. Australia
• 16.15. South Korea

17. United States Intelligent Automated Irrigation Solutions Market

18. China Intelligent Automated Irrigation Solutions Market

19. Competitive Landscape

• 19.1. Market Concentration Analysis, 2025
  • 19.1.1. Concentration Ratio (CR)
  • 19.1.2. Herfindahl Hirschman Index (HHI)
• 19.2. Recent Developments & Impact Analysis, 2025
• 19.3. Product Portfolio Analysis, 2025
• 19.4. Benchmarking Analysis, 2025
• 19.5. CALSENSE
• 19.6. Deere & Company
• 19.7. Galcon
• 19.8. Growlink, Inc.
• 19.9. Hunter Industries Incorporated
• 19.10. HydroPoint Data Systems, Inc.
• 19.11. Jain Irrigation Systems Ltd.
• 19.12. Lindsay Corporation
• 19.13. Nelson Irrigation Corporation
• 19.14. Netafim Ltd.
• 19.15. Rachio, Inc.
• 19.16. Rain Bird Corporation
• 19.17. Ranch Systems, Inc.
• 19.18. Rivulis Irrigation Ltd.
• 19.19. Rubicon Water
• 19.20. The Toro Company
• 19.21. Valmont Industries, Inc.
• 19.22. Xylem Inc.

LIST OF FIGURES

• FIGURE 1. GLOBAL INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, 2018-2032 (USD MILLION)
• FIGURE 2. GLOBAL INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SHARE, BY KEY PLAYER, 2025
• FIGURE 3. GLOBAL INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET, FPNV POSITIONING MATRIX, 2025
• FIGURE 4. GLOBAL INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY OFFERING, 2025 VS 2026 VS 2032 (USD MILLION)
• FIGURE 5. GLOBAL INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY IRRIGATION TYPE, 2025 VS 2026 VS 2032 (USD MILLION)
• FIGURE 6. GLOBAL INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY TECHNOLOGY, 2025 VS 2026 VS 2032 (USD MILLION)
• FIGURE 7. GLOBAL INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY CROP, 2025 VS 2026 VS 2032 (USD MILLION)
• FIGURE 8. GLOBAL INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY END USER, 2025 VS 2026 VS 2032 (USD MILLION)
• FIGURE 9. GLOBAL INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY DEPLOYMENT MODE, 2025 VS 2026 VS 2032 (USD MILLION)
• FIGURE 10. GLOBAL INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY REGION, 2025 VS 2026 VS 2032 (USD MILLION)
• FIGURE 11. GLOBAL INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY GROUP, 2025 VS 2026 VS 2032 (USD MILLION)
• FIGURE 12. GLOBAL INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY COUNTRY, 2025 VS 2026 VS 2032 (USD MILLION)
• FIGURE 13. UNITED STATES INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, 2018-2032 (USD MILLION)
• FIGURE 14. CHINA INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, 2018-2032 (USD MILLION)

LIST OF TABLES

• TABLE 1. GLOBAL INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, 2018-2032 (USD MILLION)
• TABLE 2. GLOBAL INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY OFFERING, 2018-2032 (USD MILLION)
• TABLE 3. GLOBAL INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY SOFTWARE, BY REGION, 2018-2032 (USD MILLION)
• TABLE 4. GLOBAL INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY SOFTWARE, BY GROUP, 2018-2032 (USD MILLION)
• TABLE 5. GLOBAL INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY SOFTWARE, BY COUNTRY, 2018-2032 (USD MILLION)
• TABLE 6. GLOBAL INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY HARDWARE, BY REGION, 2018-2032 (USD MILLION)
• TABLE 7. GLOBAL INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY HARDWARE, BY GROUP, 2018-2032 (USD MILLION)
• TABLE 8. GLOBAL INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY HARDWARE, BY COUNTRY, 2018-2032 (USD MILLION)
• TABLE 9. GLOBAL INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY SERVICE, BY REGION, 2018-2032 (USD MILLION)
• TABLE 10. GLOBAL INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY SERVICE, BY GROUP, 2018-2032 (USD MILLION)
• TABLE 11. GLOBAL INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY SERVICE, BY COUNTRY, 2018-2032 (USD MILLION)
• TABLE 12. GLOBAL INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY IRRIGATION TYPE, 2018-2032 (USD MILLION)
• TABLE 13. GLOBAL INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY DRIP, BY REGION, 2018-2032 (USD MILLION)
• TABLE 14. GLOBAL INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY DRIP, BY GROUP, 2018-2032 (USD MILLION)
• TABLE 15. GLOBAL INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY DRIP, BY COUNTRY, 2018-2032 (USD MILLION)
• TABLE 16. GLOBAL INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY SPRINKLER, BY REGION, 2018-2032 (USD MILLION)
• TABLE 17. GLOBAL INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY SPRINKLER, BY GROUP, 2018-2032 (USD MILLION)
• TABLE 18. GLOBAL INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY SPRINKLER, BY COUNTRY, 2018-2032 (USD MILLION)
• TABLE 19. GLOBAL INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY SURFACE, BY REGION, 2018-2032 (USD MILLION)
• TABLE 20. GLOBAL INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY SURFACE, BY GROUP, 2018-2032 (USD MILLION)
• TABLE 21. GLOBAL INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY SURFACE, BY COUNTRY, 2018-2032 (USD MILLION)
• TABLE 22. GLOBAL INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY TECHNOLOGY, 2018-2032 (USD MILLION)
• TABLE 23. GLOBAL INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY AI & ML ANALYTICS, BY REGION, 2018-2032 (USD MILLION)
• TABLE 24. GLOBAL INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY AI & ML ANALYTICS, BY GROUP, 2018-2032 (USD MILLION)
• TABLE 25. GLOBAL INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY AI & ML ANALYTICS, BY COUNTRY, 2018-2032 (USD MILLION)
• TABLE 26. GLOBAL INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY IOT & REMOTE MONITORING, BY REGION, 2018-2032 (USD MILLION)
• TABLE 27. GLOBAL INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY IOT & REMOTE MONITORING, BY GROUP, 2018-2032 (USD MILLION)
• TABLE 28. GLOBAL INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY IOT & REMOTE MONITORING, BY COUNTRY, 2018-2032 (USD MILLION)
• TABLE 29. GLOBAL INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY SOIL MOISTURE SENSING, BY REGION, 2018-2032 (USD MILLION)
• TABLE 30. GLOBAL INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY SOIL MOISTURE SENSING, BY GROUP, 2018-2032 (USD MILLION)
• TABLE 31. GLOBAL INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY SOIL MOISTURE SENSING, BY COUNTRY, 2018-2032 (USD MILLION)
• TABLE 32. GLOBAL INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY WEATHER FORECASTING, BY REGION, 2018-2032 (USD MILLION)
• TABLE 33. GLOBAL INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY WEATHER FORECASTING, BY GROUP, 2018-2032 (USD MILLION)
• TABLE 34. GLOBAL INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY WEATHER FORECASTING, BY COUNTRY, 2018-2032 (USD MILLION)
• TABLE 35. GLOBAL INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY CROP, 2018-2032 (USD MILLION)
• TABLE 36. GLOBAL INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY FRUIT AND VEGETABLE, BY REGION, 2018-2032 (USD MILLION)
• TABLE 37. GLOBAL INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY FRUIT AND VEGETABLE, BY GROUP, 2018-2032 (USD MILLION)
• TABLE 38. GLOBAL INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY FRUIT AND VEGETABLE, BY COUNTRY, 2018-2032 (USD MILLION)
• TABLE 39. GLOBAL INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY ROW CROP, BY REGION, 2018-2032 (USD MILLION)
• TABLE 40. GLOBAL INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY ROW CROP, BY GROUP, 2018-2032 (USD MILLION)
• TABLE 41. GLOBAL INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY ROW CROP, BY COUNTRY, 2018-2032 (USD MILLION)
• TABLE 42. GLOBAL INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY TURF AND LANDSCAPE, BY REGION, 2018-2032 (USD MILLION)
• TABLE 43. GLOBAL INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY TURF AND LANDSCAPE, BY GROUP, 2018-2032 (USD MILLION)
• TABLE 44. GLOBAL INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY TURF AND LANDSCAPE, BY COUNTRY, 2018-2032 (USD MILLION)
• TABLE 45. GLOBAL INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY END USER, 2018-2032 (USD MILLION)
• TABLE 46. GLOBAL INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY AGRICULTURAL, BY REGION, 2018-2032 (USD MILLION)
• TABLE 47. GLOBAL INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY AGRICULTURAL, BY GROUP, 2018-2032 (USD MILLION)
• TABLE 48. GLOBAL INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY AGRICULTURAL, BY COUNTRY, 2018-2032 (USD MILLION)
• TABLE 49. GLOBAL INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY COMMERCIAL, BY REGION, 2018-2032 (USD MILLION)
• TABLE 50. GLOBAL INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY COMMERCIAL, BY GROUP, 2018-2032 (USD MILLION)
• TABLE 51. GLOBAL INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY COMMERCIAL, BY COUNTRY, 2018-2032 (USD MILLION)
• TABLE 52. GLOBAL INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY RESIDENTIAL, BY REGION, 2018-2032 (USD MILLION)
• TABLE 53. GLOBAL INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY RESIDENTIAL, BY GROUP, 2018-2032 (USD MILLION)
• TABLE 54. GLOBAL INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY RESIDENTIAL, BY COUNTRY, 2018-2032 (USD MILLION)
• TABLE 55. GLOBAL INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY DEPLOYMENT MODE, 2018-2032 (USD MILLION)
• TABLE 56. GLOBAL INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY CLOUD BASED, BY REGION, 2018-2032 (USD MILLION)
• TABLE 57. GLOBAL INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY CLOUD BASED, BY GROUP, 2018-2032 (USD MILLION)
• TABLE 58. GLOBAL INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY CLOUD BASED, BY COUNTRY, 2018-2032 (USD MILLION)
• TABLE 59. GLOBAL INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY ON PREMISE, BY REGION, 2018-2032 (USD MILLION)
• TABLE 60. GLOBAL INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY ON PREMISE, BY GROUP, 2018-2032 (USD MILLION)
• TABLE 61. GLOBAL INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY ON PREMISE, BY COUNTRY, 2018-2032 (USD MILLION)
• TABLE 62. GLOBAL INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY REGION, 2018-2032 (USD MILLION)
• TABLE 63. AMERICAS INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY SUBREGION, 2018-2032 (USD MILLION)
• TABLE 64. AMERICAS INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY OFFERING, 2018-2032 (USD MILLION)
• TABLE 65. AMERICAS INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY IRRIGATION TYPE, 2018-2032 (USD MILLION)
• TABLE 66. AMERICAS INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY TECHNOLOGY, 2018-2032 (USD MILLION)
• TABLE 67. AMERICAS INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY CROP, 2018-2032 (USD MILLION)
• TABLE 68. AMERICAS INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY END USER, 2018-2032 (USD MILLION)
• TABLE 69. AMERICAS INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY DEPLOYMENT MODE, 2018-2032 (USD MILLION)
• TABLE 70. NORTH AMERICA INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
• TABLE 71. NORTH AMERICA INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY OFFERING, 2018-2032 (USD MILLION)
• TABLE 72. NORTH AMERICA INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY IRRIGATION TYPE, 2018-2032 (USD MILLION)
• TABLE 73. NORTH AMERICA INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY TECHNOLOGY, 2018-2032 (USD MILLION)
• TABLE 74. NORTH AMERICA INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY CROP, 2018-2032 (USD MILLION)
• TABLE 75. NORTH AMERICA INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY END USER, 2018-2032 (USD MILLION)
• TABLE 76. NORTH AMERICA INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY DEPLOYMENT MODE, 2018-2032 (USD MILLION)
• TABLE 77. LATIN AMERICA INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
• TABLE 78. LATIN AMERICA INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY OFFERING, 2018-2032 (USD MILLION)
• TABLE 79. LATIN AMERICA INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY IRRIGATION TYPE, 2018-2032 (USD MILLION)
• TABLE 80. LATIN AMERICA INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY TECHNOLOGY, 2018-2032 (USD MILLION)
• TABLE 81. LATIN AMERICA INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY CROP, 2018-2032 (USD MILLION)
• TABLE 82. LATIN AMERICA INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY END USER, 2018-2032 (USD MILLION)
• TABLE 83. LATIN AMERICA INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY DEPLOYMENT MODE, 2018-2032 (USD MILLION)
• TABLE 84. EUROPE, MIDDLE EAST & AFRICA INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY SUBREGION, 2018-2032 (USD MILLION)
• TABLE 85. EUROPE, MIDDLE EAST & AFRICA INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY OFFERING, 2018-2032 (USD MILLION)
• TABLE 86. EUROPE, MIDDLE EAST & AFRICA INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY IRRIGATION TYPE, 2018-2032 (USD MILLION)
• TABLE 87. EUROPE, MIDDLE EAST & AFRICA INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY TECHNOLOGY, 2018-2032 (USD MILLION)
• TABLE 88. EUROPE, MIDDLE EAST & AFRICA INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY CROP, 2018-2032 (USD MILLION)
• TABLE 89. EUROPE, MIDDLE EAST & AFRICA INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY END USER, 2018-2032 (USD MILLION)
• TABLE 90. EUROPE, MIDDLE EAST & AFRICA INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY DEPLOYMENT MODE, 2018-2032 (USD MILLION)
• TABLE 91. EUROPE INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
• TABLE 92. EUROPE INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY OFFERING, 2018-2032 (USD MILLION)
• TABLE 93. EUROPE INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY IRRIGATION TYPE, 2018-2032 (USD MILLION)
• TABLE 94. EUROPE INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY TECHNOLOGY, 2018-2032 (USD MILLION)
• TABLE 95. EUROPE INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY CROP, 2018-2032 (USD MILLION)
• TABLE 96. EUROPE INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY END USER, 2018-2032 (USD MILLION)
• TABLE 97. EUROPE INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY DEPLOYMENT MODE, 2018-2032 (USD MILLION)
• TABLE 98. MIDDLE EAST INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
• TABLE 99. MIDDLE EAST INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY OFFERING, 2018-2032 (USD MILLION)
• TABLE 100. MIDDLE EAST INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY IRRIGATION TYPE, 2018-2032 (USD MILLION)
• TABLE 101. MIDDLE EAST INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY TECHNOLOGY, 2018-2032 (USD MILLION)
• TABLE 102. MIDDLE EAST INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY CROP, 2018-2032 (USD MILLION)
• TABLE 103. MIDDLE EAST INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY END USER, 2018-2032 (USD MILLION)
• TABLE 104. MIDDLE EAST INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY DEPLOYMENT MODE, 2018-2032 (USD MILLION)
• TABLE 105. AFRICA INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
• TABLE 106. AFRICA INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY OFFERING, 2018-2032 (USD MILLION)
• TABLE 107. AFRICA INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY IRRIGATION TYPE, 2018-2032 (USD MILLION)
• TABLE 108. AFRICA INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY TECHNOLOGY, 2018-2032 (USD MILLION)
• TABLE 109. AFRICA INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY CROP, 2018-2032 (USD MILLION)
• TABLE 110. AFRICA INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY END USER, 2018-2032 (USD MILLION)
• TABLE 111. AFRICA INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY DEPLOYMENT MODE, 2018-2032 (USD MILLION)
• TABLE 112. ASIA-PACIFIC INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
• TABLE 113. ASIA-PACIFIC INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY OFFERING, 2018-2032 (USD MILLION)
• TABLE 114. ASIA-PACIFIC INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY IRRIGATION TYPE, 2018-2032 (USD MILLION)
• TABLE 115. ASIA-PACIFIC INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY TECHNOLOGY, 2018-2032 (USD MILLION)
• TABLE 116. ASIA-PACIFIC INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY CROP, 2018-2032 (USD MILLION)
• TABLE 117. ASIA-PACIFIC INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY END USER, 2018-2032 (USD MILLION)
• TABLE 118. ASIA-PACIFIC INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY DEPLOYMENT MODE, 2018-2032 (USD MILLION)
• TABLE 119. GLOBAL INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY GROUP, 2018-2032 (USD MILLION)
• TABLE 120. ASEAN INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
• TABLE 121. ASEAN INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY OFFERING, 2018-2032 (USD MILLION)
• TABLE 122. ASEAN INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY IRRIGATION TYPE, 2018-2032 (USD MILLION)
• TABLE 123. ASEAN INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY TECHNOLOGY, 2018-2032 (USD MILLION)
• TABLE 124. ASEAN INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY CROP, 2018-2032 (USD MILLION)
• TABLE 125. ASEAN INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY END USER, 2018-2032 (USD MILLION)
• TABLE 126. ASEAN INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY DEPLOYMENT MODE, 2018-2032 (USD MILLION)
• TABLE 127. GCC INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
• TABLE 128. GCC INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY OFFERING, 2018-2032 (USD MILLION)
• TABLE 129. GCC INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY IRRIGATION TYPE, 2018-2032 (USD MILLION)
• TABLE 130. GCC INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY TECHNOLOGY, 2018-2032 (USD MILLION)
• TABLE 131. GCC INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY CROP, 2018-2032 (USD MILLION)
• TABLE 132. GCC INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY END USER, 2018-2032 (USD MILLION)
• TABLE 133. GCC INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY DEPLOYMENT MODE, 2018-2032 (USD MILLION)
• TABLE 134. EUROPEAN UNION INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
• TABLE 135. EUROPEAN UNION INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY OFFERING, 2018-2032 (USD MILLION)
• TABLE 136. EUROPEAN UNION INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY IRRIGATION TYPE, 2018-2032 (USD MILLION)
• TABLE 137. EUROPEAN UNION INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY TECHNOLOGY, 2018-2032 (USD MILLION)
• TABLE 138. EUROPEAN UNION INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY CROP, 2018-2032 (USD MILLION)
• TABLE 139. EUROPEAN UNION INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY END USER, 2018-2032 (USD MILLION)
• TABLE 140. EUROPEAN UNION INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY DEPLOYMENT MODE, 2018-2032 (USD MILLION)
• TABLE 141. BRICS INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
• TABLE 142. BRICS INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY OFFERING, 2018-2032 (USD MILLION)
• TABLE 143. BRICS INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY IRRIGATION TYPE, 2018-2032 (USD MILLION)
• TABLE 144. BRICS INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY TECHNOLOGY, 2018-2032 (USD MILLION)
• TABLE 145. BRICS INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY CROP, 2018-2032 (USD MILLION)
• TABLE 146. BRICS INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY END USER, 2018-2032 (USD MILLION)
• TABLE 147. BRICS INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY DEPLOYMENT MODE, 2018-2032 (USD MILLION)
• TABLE 148. G7 INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
• TABLE 149. G7 INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY OFFERING, 2018-2032 (USD MILLION)
• TABLE 150. G7 INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY IRRIGATION TYPE, 2018-2032 (USD MILLION)
• TABLE 151. G7 INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY TECHNOLOGY, 2018-2032 (USD MILLION)
• TABLE 152. G7 INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY CROP, 2018-2032 (USD MILLION)
• TABLE 153. G7 INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY END USER, 2018-2032 (USD MILLION)
• TABLE 154. G7 INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY DEPLOYMENT MODE, 2018-2032 (USD MILLION)
• TABLE 155. NATO INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
• TABLE 156. NATO INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY OFFERING, 2018-2032 (USD MILLION)
• TABLE 157. NATO INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY IRRIGATION TYPE, 2018-2032 (USD MILLION)
• TABLE 158. NATO INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY TECHNOLOGY, 2018-2032 (USD MILLION)
• TABLE 159. NATO INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY CROP, 2018-2032 (USD MILLION)
• TABLE 160. NATO INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY END USER, 2018-2032 (USD MILLION)
• TABLE 161. NATO INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY DEPLOYMENT MODE, 2018-2032 (USD MILLION)
• TABLE 162. GLOBAL INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
• TABLE 163. UNITED STATES INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, 2018-2032 (USD MILLION)
• TABLE 164. UNITED STATES INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY OFFERING, 2018-2032 (USD MILLION)
• TABLE 165. UNITED STATES INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY IRRIGATION TYPE, 2018-2032 (USD MILLION)
• TABLE 166. UNITED STATES INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY TECHNOLOGY, 2018-2032 (USD MILLION)
• TABLE 167. UNITED STATES INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY CROP, 2018-2032 (USD MILLION)
• TABLE 168. UNITED STATES INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY END USER, 2018-2032 (USD MILLION)
• TABLE 169. UNITED STATES INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY DEPLOYMENT MODE, 2018-2032 (USD MILLION)
• TABLE 170. CHINA INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, 2018-2032 (USD MILLION)
• TABLE 171. CHINA INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY OFFERING, 2018-2032 (USD MILLION)
• TABLE 172. CHINA INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY IRRIGATION TYPE, 2018-2032 (USD MILLION)
• TABLE 173. CHINA INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY TECHNOLOGY, 2018-2032 (USD MILLION)
• TABLE 174. CHINA INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY CROP, 2018-2032 (USD MILLION)
• TABLE 175. CHINA INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY END USER, 2018-2032 (USD MILLION)
• TABLE 176. CHINA INTELLIGENT AUTOMATED IRRIGATION SOLUTIONS MARKET SIZE, BY DEPLOYMENT MODE, 2018-2032 (USD MILLION)