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市場調查報告書
商品編碼
1918552

智慧自動化灌溉解決方案市場按產品類型、灌溉方式、技術、作物、最終用戶和部署類型分類－2026-2032年全球預測

Intelligent Automated Irrigation Solutions Market by Offering (Software, Hardware, Service), Irrigation Type (Drip, Sprinkler, Surface), Technology, Crop, End User, Deployment Mode - Global Forecast 2026-2032
出版日期: | 出版商: 360iResearch | 英文 181 Pages | 商品交期: 最快1-2個工作天內

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預計到 2025 年，智慧自動化灌溉解決方案市場規模將達到 44.5 億美元，到 2026 年將成長至 48.1 億美元，到 2032 年將達到 89.6 億美元，年複合成長率為 10.50%。

關鍵市場統計數據
基準年 2025 44.5億美元
預計年份：2026年 48.1億美元
預測年份 2032 89.6億美元
複合年成長率 (%) 10.50%

智慧自動化灌溉的策略方法將技術、營運實際情況以及與相關人員。

智慧自動化灌溉透過結合感測技術、互聯互通和數據驅動的控制策略，正在重塑農業、商業和住宅領域的水資源管理。本文概述了支撐該領域快速現代化的核心技術和營運促進因素，並解釋了價值鏈上相關人員為何正在重新思考傳統做法。首先，我們探討了自動化如何消除人工勞動的限制、減少浪費、實現精準資源分配，同時為系統整合商和服務供應商創造新的價值機會。

感測器技術的進步、廣泛的連接性以及監管壓力如何共同作用，重新定義灌溉系統的部署模式和價值獲取方式？

自動化灌溉產業正經歷一場變革，其驅動力包括技術的成熟、監管重點的轉變以及相關人員對永續性的期望。感測器精度的提高和物聯網連接的廣泛應用，正推動灌溉方式從基於日曆的灌溉轉向基於條件的預測性灌溉。邊緣運算和低功耗通訊技術的同步進步，降低了延遲和營運成本，使得自動化灌溉能夠應用於各種規模的場景，從大型農業到小規模商業和住宅應用。

2025年關稅變動對籌資策略、供應商多元化以及硬體利潤與服務型收入之間平衡的影響

2025年生效的關稅以及不斷變化的貿易政策正在改變整個自動化灌溉價值鏈的採購計算、零件籌資策略和成本結構。供應鏈經理和採購團隊正在重新評估供應商關係，以降低進口關稅對控制器、管道、管件和電子機械閥門等硬體組件的影響。當進口成本出現不可預測的上漲時，企業會透過重新設計材料清單(BOM)、尋找替代供應商以及盡可能加快本地化生產來應對。

詳細的細分分析揭示了不同系統類型、組件優先順序、解決方案模型、最終用戶需求、先進技術、作物需求和實施方法等因素如何影響系統採用率。

從灌溉類型、組件、解決方案、最終用戶、技術、作物和部署模式等方面對市場進行細分分析，可以發現細分結果清晰地揭示了不同灌溉系統在採用模式、價值促進因素和競爭動態的差異。不同類型的灌溉系統在資本密集度和維修複雜性方面有顯著差異，其中滴灌系統優先考慮節水和易於維修的控制器，而噴灌和地面灌溉系統則需要考慮不同的水力設計因素。組件、控制器設計、管道材料、感測器品質和閥門可靠性等因素共同決定了生命週期成本和服務模式。因此，製造商和整合商必須使其產品藍圖與可維護性和韌體更新路徑保持一致。

全球市場在政策、基礎設施和農業實踐方面的區域差異決定了打入市場策略和技術選擇的客製化程度。

區域分析表明，水資源政策、基礎設施成熟度和技術生態系統的地理差異將顯著影響智慧灌溉的推廣路徑。美洲市場正朝著快速採用智慧灌溉技術的方向發展，這得益於農業規模的擴張、強大的私人服務模式以及旨在提高效率的市政水資源管理政策。對精密農業的投資以及精通技術的整合商的存在，為推動智慧灌溉從試點階段向大規模部署階段的過渡提供了有利條件。

競爭格局強調模組化硬體、開放式整合和以服務為中心的經營模式，以此作為長期客戶維繫和經常性收入的基礎。

在企業層面，整合產品系列、策略夥伴關係和服務主導經營模式的重要性日益凸顯。領先的設備製造商正投資於模組化硬體設計和開放式整合框架，以支援第三方感測器和分析工具，從而延長產品生命週期並降低客戶鎖定風險。同時，軟體平台供應商則在數據品質、進階分析以及與農場管理系統和建築自動化平台的便利整合方面競爭。

供應商和整合商為確保規模化發展可採取的切實可行的策略性措施：模組化產品藍圖、多元化供應來源、服務貨幣化以及投資互通性。

產業領導者應優先考慮能夠加速產品普及、同時保障利潤率和規模的跨職能策略。首先，應協調產品藍圖，實現模組化升級，使控制器、感測器和閥門能夠獨立進行現代化改造，從而減少維修阻力，並維持現有資產的價值。其次，應透過對區域製造合作夥伴進行資質認證，並維持支援採購彈性的多源零件供應體系，實現供應鏈多元化，進而降低關稅風險。第三，為穩定收入來源，應從一次性設備銷售轉向混合交付模式，將安裝服務、分析訂閱和效能保證結合。

採用嚴格的混合方法，結合從業者訪談、技術評估、標準審查和多方面檢驗，確保了可靠的證據和檢驗。

我們的調查方法整合了一級資訊來源和二級資訊來源，以得出基於實證、以實踐者觀點中心的分析。一級資訊來源包括對系統整合商、組件製造商、灌溉顧問以及商業、住宅和農業領域最終用戶的結構化訪談，並輔以對已安裝系統的技術評估。我們將這些第一手資料與技術藍圖、標準文件和營運案例研究進行交叉比對，以檢驗實施假設和效能聲明。

整合與策略要務：技術、供應韌性與服務模式的整合，為實現擴充性且永續性的灌溉成果鋪平了道路。

總之，智慧自動化灌溉代表著水資源管理和營運效率在不同終端用戶環境中的策略轉折點。技術融合，結合精準感測、無所不在的連接和先進的分析技術，實現了基於情境的灌溉，從而減少資源浪費，並使資源利用與農業需求相匹配。同時，地緣政治和政策的變化正在重塑採購格局，並推動優先考慮經常性收入和本地韌性的經營模式的發展。

目錄

第1章：序言

第2章調查方法

  • 研究設計
  • 研究框架
  • 市場規模預測
  • 數據三角測量
  • 調查結果
  • 調查前提
  • 調查限制

第3章執行摘要

  • 首席體驗長觀點
  • 市場規模和成長趨勢
  • 2025年市佔率分析
  • FPNV定位矩陣，2025
  • 新的商機
  • 下一代經營模式
  • 產業藍圖

第4章 市場概覽

  • 產業生態系與價值鏈分析
  • 波特五力分析
  • PESTEL 分析
  • 市場展望
  • 上市策略

第5章 市場洞察

  • 消費者洞察與終端用戶觀點
  • 消費者體驗基準
  • 機會地圖
  • 分銷通路分析
  • 價格趨勢分析
  • 監理合規和標準框架
  • ESG與永續性分析
  • 中斷和風險情景
  • 投資報酬率和成本效益分析

第6章：美國關稅的累積影響，2025年

第7章：人工智慧的累積影響，2025年

8. 智慧自動化灌溉解決方案市場（依產品/服務分類）

  • 軟體
  • 硬體
  • 服務

9. 按灌溉方式分類的智慧自動化灌溉解決方案市場

  • 滴灌
  • 噴灌
  • 地球表面

第10章 按技術分類的智慧自動化灌溉解決方案市場

  • 人工智慧和機器學習分析
  • 物聯網和遠端監控
  • 土壤濕度感
  • 天氣預報

第11章 按作物分類的智慧自動化灌溉解決方案市場

  • 水果和蔬菜
  • 田間作物
  • 草坪和景觀美化

第12章 按最終用戶分類的智慧自動化灌溉解決方案市場

  • 農業
  • 商業的
  • 住宅

第13章 按部署模式分類的智慧自動化灌溉解決方案市場

  • 基於雲端的
  • 本地部署

第14章 各地區智慧自動化灌溉解決方案市場

  • 美洲
    • 北美洲
    • 拉丁美洲
  • 歐洲、中東和非洲
    • 歐洲
    • 中東
    • 非洲
  • 亞太地區

第15章 智慧自動化灌溉解決方案市場（按組別分類）

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

第16章 各國智慧自動化灌溉解決方案市場

  • 美國
  • 加拿大
  • 墨西哥
  • 巴西
  • 英國
  • 德國
  • 法國
  • 俄羅斯
  • 義大利
  • 西班牙
  • 中國
  • 印度
  • 日本
  • 澳洲
  • 韓國

第17章：美國智慧自動化灌溉解決方案市場

第18章：中國智慧自動灌溉解決方案市場

第19章 競爭情勢

  • 市場集中度分析，2025年
    • 濃度比（CR）
    • 赫芬達爾-赫希曼指數 (HHI)
  • 近期趨勢及影響分析，2025 年
  • 2025年產品系列分析
  • 基準分析，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.
Product Code: MRR-AE420CB155CB

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)