查看購物車
  • English
  • Japanese
  • Korean
封面
市場調查報告書
商品編碼
2113023

精準灌溉智慧市場預測至2034年－按組件、灌溉方法、技術、應用、最終用戶和地區分類的全球分析

Precision Irrigation Intelligence Market Forecasts to 2034 - Global Analysis By Component (Hardware, Software and Services), Irrigation Type, Technology, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的數據，預計到 2026 年，全球精準灌溉智慧市場規模將達到 4 億美元，並在預測期內以 13.4% 的複合年成長率成長，到 2034 年將達到 11 億美元。

精準灌溉智慧是指將即時數據分析與自動化灌溉基礎設施結合的先進農業系統，旨在最佳化灌溉計劃和資源利用。這些系統結合了土壤濕度感測器、天氣預報模型、作物蒸散演算法和遙感探測數據，精確計算田間各區域的需水量。它們透過集中控制平台實現，該平台利用無線通訊網路管理滴灌管線、噴灌系統和中心支軸式噴灌系統。這項技術能夠根據作物生長階段、土壤水文特徵和氣候條件動態調整灌溉時間和水量，從而最大限度地提高用水效率。

水資源短缺壓力日益加劇。

隨著全球主要農業區淡水資源短缺問題日益嚴重，對智慧精準灌溉系統的需求也隨之成長。農民面臨著在保證作物產量的同時減少地下水開採的監管壓力。先進的分析平台已證實，與傳統灌溉方式相比，智慧精準灌溉系統可節水20%至40%。政府的節水補貼和抗旱救災計畫也為推廣應用提供了製度獎勵。這些環境和政策因素共同推動了乾旱和半乾旱農業地區對智慧灌溉基礎設施的持續投資。

實施的複雜性正在增加。

將精準灌溉智慧技術整合到現有農業基礎設施中的技術複雜性是其推廣應用的主要障礙。許多農場缺乏建造感測器網路、校準水力模型和維護自動閥門控制設備所需的技術專長。對傳統灌溉系統進行智慧組件改造需要大量的技術投資和運作。偏遠農業地區的通訊限制也限制了該平台的即時功能。這些推廣應用的挑戰增加了整體擁有成本 (TCO)，並延緩了從傳統漫灌到精準灌溉系統的過渡。

衛星資料整合正在不斷擴展。

商業衛星星系與精準灌溉平台的融合，為擴充性的田間監測創造了巨大機遇，因此無需部署高密度地面感測器。高解析度熱成像成像和頻譜影像，配合每日重掃描，能夠繪製數千公頃土地的蒸散量分佈圖。灌溉技術供應商與衛星營運商的合作，正在降低每英畝的監測成本。亞太和拉丁美洲等新興市場正受益於衛星覆蓋，尤其是在缺乏行動電話基礎設施的地區。隨著影像解析度的提高和資料成本的降低，基於衛星的灌溉智慧正變得越來越普及，中型農業企業也能從中受益。

氣候變遷造成的破壞

氣候變遷加劇和極端天氣事件頻繁，威脅著精準灌溉智慧系統的運行，因為它們會擾亂支撐自動灌溉調度的預測模型。前所未有的降雨模式、突發乾旱和溫度異常會降低歷史訓練資料集的準確性。極端天氣事件造成的感測器損壞會導致維護成本增加和系統運作。保險公司對於技術相關作物損失的承保範圍仍不明確。這些挑戰削弱了農民對演算法灌溉決策的信心，並可能導致在受氣候不穩定影響最嚴重的地區部署延遲。

新型冠狀病毒（COVID-19）的影響：

新冠疫情擾亂了精準灌溉硬體的供應鏈，同時也加速了人們對遠端農場管理解決方案的需求。封鎖措施限制了技術人員進行系統安裝，但基於雲端的灌溉平台使農藝師能夠從集中位置監控和調整灌溉計劃。疫情後農業人手不足進一步推動了對自動化灌溉系統的需求。政府針對農村基礎設施的經濟措施擴大了寬頻連接，從而支持了即時感測器網路的運作。

在預測期內，硬體領域預計將佔據最大佔有率。

由於感測器網路、自動閥門和流量監測設備需要大量資本投資，預計硬體領域在預測期內將佔據最大的市場佔有率。硬體組件構成了軟體分析層運作的基礎架構。領先的灌溉設備製造商不斷擴展其整合遙測和控制功能的智慧硬體產品線。商業農場優先考慮運作長的耐用型田間五金。灌溉基礎設施的更新周期確保了預測期內硬體的穩定供應。

預計在預測期內，微灌領域將呈現最高的複合年成長率。

在整個預測期內，微灌領域預計將呈現最高的成長率，這主要得益於其卓越的用水效率以及與精準智慧平台的兼容性。微灌系統可將水直接輸送到根系區域，同時最大限度地減少蒸發損失，並透過土壤濕度回饋迴路實現精準控制。隨著主要農業區抗旱法規的日益嚴格，消費者對節水農業的需求不斷成長。微灌技術的擴充性，從小規模農場到商業規模的農業生產，正在擴大其市場覆蓋範圍。政府為推廣高效灌溉技術而提供的獎勵，正在加速缺水地區的推廣應用。

市佔率最大的地區：

在預測期內，北美預計將佔據最大的市場佔有率，這主要得益於其先進的農業技術基礎設施和大規模的商業化農業運作。美國是區域需求的主要驅動力，這主要歸功於其集中了許多精準灌溉設備製造商，以及大平原和加州中央谷地廣闊的灌溉面積。創業投資的創投正在加速智慧水資源管理領域的創新。政府的節水政策也催生了對合規性的需求。有利於農業技術應用的法規結構將在整個預測期內鞏固北美的市場領導地位。

複合年成長率最高的地區：

在預測期內，亞太地區預計將呈現最高的複合年成長率，這主要得益於新興經濟體灌溉農業的擴張和日益嚴峻的水資源壓力。中國和印度正透過政府主導的智慧灌溉舉措引領區域成長，這些計畫覆蓋數百萬公頃土地。澳洲則透過先進的水資源交易市場促進了對提高灌溉效率的投資，從而為區域成長做出貢獻。在東南亞國家，精準灌溉系統正被應用於高價值的園藝企業。本地製造商與全球技術供應商的夥伴關係正在降低系統成本，並加速該系統在全部區域的普及應用。

免費客製化服務：

所有購買此報告的客戶均可享受以下免費自訂選項之一：

  • 企業概況
    • 對其他市場參與者（最多 3 家公司）進行全面分析
    • 對主要公司進行SWOT分析（最多3家公司）
  • 區域細分
    • 根據客戶要求，我們可以提供主要國家和地區的市場估算和預測，以及計算複合年成長率（註：需進行可行性檢查）。
  • 競爭性標竿分析
    • 根據產品系列、企業發展和策略聯盟對重點公司進行基準分析。

目錄

第1章執行摘要

  • 市場概覽及主要亮點
  • 促進因素、挑戰與機遇
  • 競爭格局概述
  • 戰略洞察與建議

第2章：研究框架

  • 研究目標和範圍
  • 相關人員分析
  • 研究假設和限制
  • 調查方法

第3章 市場動態與趨勢分析

  • 市場定義與結構
  • 主要市場促進因素
  • 市場限制與挑戰
  • 投資成長機會和重點領域
  • 產業威脅與風險評估
  • 技術與創新展望
  • 新興市場/高成長市場
  • 監管和政策環境
  • 新冠疫情的影響及復甦前景

第4章：競爭環境與策略評估

  • 波特五力分析
    • 供應商的議價能力
    • 買方的議價能力
    • 替代品的威脅
    • 新進入者的威脅
    • 競爭公司之間的競爭
  • 主要公司市佔率分析
  • 產品基準評效和效能比較

第5章：全球精準灌溉智慧市場：依組件分類

  • 硬體
  • 軟體
  • 服務

第6章 全球精準灌溉智慧市場：依灌溉系統分類

  • 滴灌
  • 噴水灌溉
  • 中心樞軸式灌溉
  • 微灌注
  • 地表灌溉

第7章 全球精準灌溉智慧市場：依技術分類

  • 人工智慧
  • 物聯網感測器
  • 遙感探測
  • 衛星影像
  • 天氣預報分析
  • 雲端運算
  • 邊緣運算

第8章 全球精準灌溉智慧市場：依應用領域分類

  • 田間作物
  • 果園
  • 葡萄園
  • 溫室
  • 草坪和景觀美化
  • 種植作物
  • 精密農業

第9章 全球精準灌溉智慧市場：依最終用戶分類

  • 商業農場
  • 溫室經營者
  • 高爾夫球場
  • 政府機構
  • 農業合作社
  • 研究機構
  • 其他最終用戶

第10章：全球精準灌溉智慧市場：依地區分類

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 義大利
    • 西班牙
    • 荷蘭
    • 比利時
    • 瑞典
    • 瑞士
    • 波蘭
    • 其他歐洲國家
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 韓國
    • 澳洲
    • 印尼
    • 泰國
    • 馬來西亞
    • 新加坡
    • 越南
    • 其他亞太國家
  • 南美洲
    • 巴西
    • 阿根廷
    • 哥倫比亞
    • 智利
    • 秘魯
    • 其他南美國家
  • 世界其他地區（RoW）
    • 中東
      • 沙烏地阿拉伯
      • 阿拉伯聯合大公國
      • 卡達
      • 以色列
      • 其他中東國家
    • 非洲
      • 南非
      • 埃及
      • 摩洛哥
      • 其他非洲國家

第11章 策略市場資訊

  • 工業價值網路和供應鏈評估
  • 空白區域和機會地圖
  • 產品演進與市場生命週期分析
  • 通路、經銷商和打入市場策略的評估

第12章 產業趨勢與策略舉措

  • 併購
  • 夥伴關係、聯盟和合資企業
  • 新產品發布和認證
  • 擴大生產能力和投資
  • 其他策略舉措

第13章：公司簡介

  • Lindsay Corporation
  • The Toro Company
  • Valmont Industries
  • Netafim
  • Rain Bird Corporation
  • Hunter Industries
  • Jain Irrigation Systems
  • Trimble Inc.
  • John Deere
  • CropX Technologies
  • Rivulis
  • AGCO Corporation
  • Telsys Ltd.
  • HydroPoint Data Systems
  • Banyan Water
  • IBM Corporation
Product Code: SMRC39034

According to Stratistics MRC, the Global Precision Irrigation Intelligence Market is accounted for $0.4 billion in 2026 and is expected to reach $1.1 billion by 2034 growing at a CAGR of 13.4% during the forecast period. Precision irrigation intelligence refers to advanced agricultural systems that integrate real-time data analytics with automated water delivery infrastructure to optimize irrigation scheduling and resource utilization. These systems combine soil moisture sensors, weather forecasting models, crop evapotranspiration algorithms, and remote sensing data to determine precise water requirements across field zones. They are deployed through centralized control platforms that manage drip lines, sprinkler arrays, and pivot systems via wireless communication networks. The technology enables dynamic adjustment of irrigation timing and volume based on crop growth stages, soil hydraulic properties, and climatic conditions to maximize water use efficiency.

Market Dynamics:

Driver:

Water Scarcity Pressures Mounting

Precision irrigation intelligence systems are experiencing heightened demand as global freshwater constraints intensify across major agricultural regions. Farmers face increasing regulatory pressure to reduce groundwater extraction while maintaining crop yields. Advanced analytics platforms demonstrate measurable water savings of twenty to forty percent compared to conventional irrigation practices. Government water conservation subsidies and drought relief programs create institutional procurement incentives. These converging environmental and policy factors generate sustained investment in intelligent irrigation infrastructure across arid and semi-arid farming zones.

Restraint:

Installation Complexity Elevating

The technical complexity of integrating precision irrigation intelligence with existing farm infrastructure represents a significant barrier to adoption. Many agricultural operations lack the technical expertise to configure sensor networks, calibrate hydraulic models, and maintain automated valve controllers. Retrofitting legacy irrigation systems with smart components requires substantial engineering investment and operational downtime. Connectivity limitations in remote farming areas constrain real-time platform functionality. These implementation challenges elevate total cost of ownership and slow transition from traditional flood irrigation to precision systems.

Opportunity:

Satellite Integration Expanding

The integration of commercial satellite constellations with precision irrigation platforms is creating substantial opportunities for scalable field monitoring without dense ground sensor deployment. High-resolution thermal and multispectral imagery enables evapotranspiration mapping across thousands of hectares with daily revisit frequencies. Partnerships between irrigation technology providers and satellite operators are reducing per-acre monitoring costs. Emerging markets in Asia Pacific and Latin America benefit from satellite coverage in regions lacking cellular infrastructure. As imagery resolution improves and data costs decline, satellite-enabled irrigation intelligence becomes accessible to mid-sized farming operations.

Threat:

Climate Variability Disrupting

Increasing climate variability and extreme weather events pose operational threats to precision irrigation intelligence systems by disrupting the predictive models upon which automated scheduling depends. Unprecedented rainfall patterns, flash droughts, and temperature anomalies reduce the accuracy of historical training datasets. Sensor damage from severe weather events increases maintenance costs and system downtime. Insurance providers remain uncertain about coverage for technology-related crop losses. These challenges undermine farmer confidence in algorithmic irrigation decisions and may slow adoption in regions experiencing the most severe climate instability.

Covid-19 Impact:

The COVID-19 pandemic disrupted precision irrigation hardware supply chains while accelerating interest in remote farm management solutions. Lockdowns restricted technician access for system installation, yet cloud-based irrigation platforms enabled agronomists to monitor and adjust schedules from centralized locations. Post-pandemic, sustained labor shortages in agriculture have reinforced demand for automated irrigation systems. Government recovery packages targeting rural infrastructure have expanded broadband connectivity, supporting real-time sensor network operation.

The hardware segment is expected to be the largest during the forecast period

The hardware segment is expected to account for the largest market share during the forecast period, due to the substantial capital investment required for sensor networks, automated valves, and flow monitoring equipment. Hardware components constitute the foundational infrastructure upon which software analytics layers operate. Major irrigation equipment manufacturers continue to expand smart hardware portfolios with integrated telemetry and control capabilities. Commercial farms prioritize durable field hardware with extended operational lifespans. The replacement cycle for irrigation infrastructure ensures consistent hardware procurement volumes throughout the forecast period.

The micro irrigation segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the micro irrigation segment is predicted to witness the highest growth rate, driven by superior water use efficiency and compatibility with precision intelligence platforms. Micro irrigation systems deliver water directly to root zones with minimal evaporative loss, enabling precise control through soil moisture feedback loops. Consumer demand for water-efficient farming intensifies as drought regulations tighten across major agricultural regions. Scalability of micro irrigation from smallholder plots to commercial operations broadens market accessibility. Regulatory incentives for efficient irrigation technology adoption accelerate deployment in water-stressed jurisdictions.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, due to advanced agricultural technology infrastructure and substantial commercial farming operations. The United States leads regional demand through concentration of major precision irrigation manufacturers and extensive irrigated acreage in the Great Plains and California Central Valley. Strong venture capital investment accelerates innovation in intelligent water management. Government water conservation mandates create compliance-driven demand. Favorable regulatory frameworks for agricultural technology deployment reinforce North American market leadership throughout the forecast period.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, due to expanding irrigated agriculture and increasing water stress across emerging economies. China and India drive regional growth through government smart irrigation initiatives targeting millions of hectares. Australia contributes through advanced water trading markets that incentivize efficiency investments. Southeast Asian nations are deploying precision systems in high-value horticultural operations. Local manufacturing partnerships with global technology providers reduce system costs and accelerate adoption throughout the region.

Key players in the market

Some of the key players in Precision Irrigation Intelligence Market include Netafim Ltd., Jain Irrigation Systems Limited, Lindsay Corporation, The Toro Company, Valmont Industries, Inc., Rivulis Irrigation Ltd., Hunter Industries, Inc., Rain Bird Corporation, Nelson Irrigation Corporation, and Antelco Pty Ltd..

Key Developments:

In July 2026, Netafim Ltd. launched an integrated precision irrigation intelligence platform combining soil moisture analytics with predictive weather models for autonomous scheduling across drip and micro-sprinkler installations in arid agricultural regions.

In June 2026, Jain Irrigation Systems Limited expanded its smart irrigation hardware portfolio with AI-enabled flow sensors and automated pressure regulators designed for seamless integration with third-party farm management software platforms.

In April 2026, Lindsay Corporation secured a major contract supplying precision pivot irrigation systems with integrated intelligence controllers for a commercial farming cooperative covering over fifty thousand hectares across the North American Great Plains.

Components Covered:

  • Hardware
  • Software
  • Services

Irrigation Types Covered:

  • Drip Irrigation
  • Sprinkler Irrigation
  • Center Pivot Irrigation
  • Micro Irrigation
  • Surface Irrigation

Technologies Covered:

  • Artificial Intelligence
  • IoT Sensors
  • Remote Sensing
  • Satellite Imaging
  • Weather Forecast Analytics
  • Cloud Computing
  • Edge Computing

Applications Covered:

  • Field Crops
  • Orchards
  • Vineyards
  • Greenhouses
  • Turf & Landscaping
  • Plantation Crops
  • Precision Farming

End Users Covered:

  • Commercial Farms
  • Greenhouse Operators
  • Golf Courses
  • Government Agencies
  • Agricultural Cooperatives
  • Research Institutions
  • Other End Users

Regions Covered:

  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • United Kingdom
    • Germany
    • France
    • Italy
    • Spain
    • Netherlands
    • Belgium
    • Sweden
    • Switzerland
    • Poland
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Indonesia
    • Thailand
    • Malaysia
    • Singapore
    • Vietnam
    • Rest of Asia Pacific
  • South America
    • Brazil
    • Argentina
    • Colombia
    • Chile
    • Peru
    • Rest of South America
  • Rest of the World (RoW)
    • Middle East
  • Saudi Arabia
  • United Arab Emirates
  • Qatar
  • Israel
  • Rest of Middle East
    • Africa
  • South Africa
  • Egypt
  • Morocco
  • Rest of Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2023, 2024, 2025, 2026, 2027, 2028, 2030, 2032 and 2034
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

  • 1.1 Market Snapshot and Key Highlights
  • 1.2 Growth Drivers, Challenges, and Opportunities
  • 1.3 Competitive Landscape Overview
  • 1.4 Strategic Insights and Recommendations

2 Research Framework

  • 2.1 Study Objectives and Scope
  • 2.2 Stakeholder Analysis
  • 2.3 Research Assumptions and Limitations
  • 2.4 Research Methodology
    • 2.4.1 Data Collection (Primary and Secondary)
    • 2.4.2 Data Modeling and Estimation Techniques
    • 2.4.3 Data Validation and Triangulation
    • 2.4.4 Analytical and Forecasting Approach

3 Market Dynamics and Trend Analysis

  • 3.1 Market Definition and Structure
  • 3.2 Key Market Drivers
  • 3.3 Market Restraints and Challenges
  • 3.4 Growth Opportunities and Investment Hotspots
  • 3.5 Industry Threats and Risk Assessment
  • 3.6 Technology and Innovation Landscape
  • 3.7 Emerging and High-Growth Markets
  • 3.8 Regulatory and Policy Environment
  • 3.9 Impact of COVID-19 and Recovery Outlook

4 Competitive and Strategic Assessment

  • 4.1 Porter's Five Forces Analysis
    • 4.1.1 Supplier Bargaining Power
    • 4.1.2 Buyer Bargaining Power
    • 4.1.3 Threat of Substitutes
    • 4.1.4 Threat of New Entrants
    • 4.1.5 Competitive Rivalry
  • 4.2 Market Share Analysis of Key Players
  • 4.3 Product Benchmarking and Performance Comparison

5 Global Precision Irrigation Intelligence Market, By Component

  • 5.1 Hardware
  • 5.2 Software
  • 5.3 Services

6 Global Precision Irrigation Intelligence Market, By Irrigation Type

  • 6.1 Drip Irrigation
  • 6.2 Sprinkler Irrigation
  • 6.3 Center Pivot Irrigation
  • 6.4 Micro Irrigation
  • 6.5 Surface Irrigation

7 Global Precision Irrigation Intelligence Market, By Technology

  • 7.1 Artificial Intelligence
  • 7.2 IoT Sensors
  • 7.3 Remote Sensing
  • 7.4 Satellite Imaging
  • 7.5 Weather Forecast Analytics
  • 7.6 Cloud Computing
  • 7.7 Edge Computing

8 Global Precision Irrigation Intelligence Market, By Application

  • 8.1 Field Crops
  • 8.2 Orchards
  • 8.3 Vineyards
  • 8.4 Greenhouses
  • 8.5 Turf & Landscaping
  • 8.6 Plantation Crops
  • 8.7 Precision Farming

9 Global Precision Irrigation Intelligence Market, By End User

  • 9.1 Commercial Farms
  • 9.2 Greenhouse Operators
  • 9.3 Golf Courses
  • 9.4 Government Agencies
  • 9.5 Agricultural Cooperatives
  • 9.6 Research Institutions
  • 9.7 Other End Users

10 Global Precision Irrigation Intelligence Market, By Geography

  • 10.1 North America
    • 10.1.1 United States
    • 10.1.2 Canada
    • 10.1.3 Mexico
  • 10.2 Europe
    • 10.2.1 United Kingdom
    • 10.2.2 Germany
    • 10.2.3 France
    • 10.2.4 Italy
    • 10.2.5 Spain
    • 10.2.6 Netherlands
    • 10.2.7 Belgium
    • 10.2.8 Sweden
    • 10.2.9 Switzerland
    • 10.2.10 Poland
    • 10.2.11 Rest of Europe
  • 10.3 Asia Pacific
    • 10.3.1 China
    • 10.3.2 Japan
    • 10.3.3 India
    • 10.3.4 South Korea
    • 10.3.5 Australia
    • 10.3.6 Indonesia
    • 10.3.7 Thailand
    • 10.3.8 Malaysia
    • 10.3.9 Singapore
    • 10.3.10 Vietnam
    • 10.3.11 Rest of Asia Pacific
  • 10.4 South America
    • 10.4.1 Brazil
    • 10.4.2 Argentina
    • 10.4.3 Colombia
    • 10.4.4 Chile
    • 10.4.5 Peru
    • 10.4.6 Rest of South America
  • 10.5 Rest of the World (RoW)
    • 10.5.1 Middle East
      • 10.5.1.1 Saudi Arabia
      • 10.5.1.2 United Arab Emirates
      • 10.5.1.3 Qatar
      • 10.5.1.4 Israel
      • 10.5.1.5 Rest of Middle East
    • 10.5.2 Africa
      • 10.5.2.1 South Africa
      • 10.5.2.2 Egypt
      • 10.5.2.3 Morocco
      • 10.5.2.4 Rest of Africa

11 Strategic Market Intelligence

  • 11.1 Industry Value Network and Supply Chain Assessment
  • 11.2 White-Space and Opportunity Mapping
  • 11.3 Product Evolution and Market Life Cycle Analysis
  • 11.4 Channel, Distributor, and Go-to-Market Assessment

12 Industry Developments and Strategic Initiatives

  • 12.1 Mergers and Acquisitions
  • 12.2 Partnerships, Alliances, and Joint Ventures
  • 12.3 New Product Launches and Certifications
  • 12.4 Capacity Expansion and Investments
  • 12.5 Other Strategic Initiatives

13 Company Profiles

  • 13.1 Lindsay Corporation
  • 13.2 The Toro Company
  • 13.3 Valmont Industries
  • 13.4 Netafim
  • 13.5 Rain Bird Corporation
  • 13.6 Hunter Industries
  • 13.7 Jain Irrigation Systems
  • 13.8 Trimble Inc.
  • 13.9 John Deere
  • 13.10 CropX Technologies
  • 13.11 Rivulis
  • 13.12 AGCO Corporation
  • 13.13 Telsys Ltd.
  • 13.14 HydroPoint Data Systems
  • 13.15 Banyan Water
  • 13.16 IBM Corporation

List of Tables

  • Table 1 Global Precision Irrigation Intelligence Market Outlook, By Region (2023-2034) ($MN)
  • Table 2 Global Precision Irrigation Intelligence Market Outlook, By Component (2023-2034) ($MN)
  • Table 3 Global Precision Irrigation Intelligence Market Outlook, By Hardware (2023-2034) ($MN)
  • Table 4 Global Precision Irrigation Intelligence Market Outlook, By Software (2023-2034) ($MN)
  • Table 5 Global Precision Irrigation Intelligence Market Outlook, By Services (2023-2034) ($MN)
  • Table 6 Global Precision Irrigation Intelligence Market Outlook, By Irrigation Type (2023-2034) ($MN)
  • Table 7 Global Precision Irrigation Intelligence Market Outlook, By Drip Irrigation (2023-2034) ($MN)
  • Table 8 Global Precision Irrigation Intelligence Market Outlook, By Sprinkler Irrigation (2023-2034) ($MN)
  • Table 9 Global Precision Irrigation Intelligence Market Outlook, By Center Pivot Irrigation (2023-2034) ($MN)
  • Table 10 Global Precision Irrigation Intelligence Market Outlook, By Micro Irrigation (2023-2034) ($MN)
  • Table 11 Global Precision Irrigation Intelligence Market Outlook, By Surface Irrigation (2023-2034) ($MN)
  • Table 12 Global Precision Irrigation Intelligence Market Outlook, By Technology (2023-2034) ($MN)
  • Table 13 Global Precision Irrigation Intelligence Market Outlook, By Artificial Intelligence (2023-2034) ($MN)
  • Table 14 Global Precision Irrigation Intelligence Market Outlook, By IoT Sensors (2023-2034) ($MN)
  • Table 15 Global Precision Irrigation Intelligence Market Outlook, By Remote Sensing (2023-2034) ($MN)
  • Table 16 Global Precision Irrigation Intelligence Market Outlook, By Satellite Imaging (2023-2034) ($MN)
  • Table 17 Global Precision Irrigation Intelligence Market Outlook, By Weather Forecast Analytics (2023-2034) ($MN)
  • Table 18 Global Precision Irrigation Intelligence Market Outlook, By Cloud Computing (2023-2034) ($MN)
  • Table 19 Global Precision Irrigation Intelligence Market Outlook, By Edge Computing (2023-2034) ($MN)
  • Table 20 Global Precision Irrigation Intelligence Market Outlook, By Application (2023-2034) ($MN)
  • Table 21 Global Precision Irrigation Intelligence Market Outlook, By Field Crops (2023-2034) ($MN)
  • Table 22 Global Precision Irrigation Intelligence Market Outlook, By Orchards (2023-2034) ($MN)
  • Table 23 Global Precision Irrigation Intelligence Market Outlook, By Vineyards (2023-2034) ($MN)
  • Table 24 Global Precision Irrigation Intelligence Market Outlook, By Greenhouses (2023-2034) ($MN)
  • Table 25 Global Precision Irrigation Intelligence Market Outlook, By Turf & Landscaping (2023-2034) ($MN)
  • Table 26 Global Precision Irrigation Intelligence Market Outlook, By Plantation Crops (2023-2034) ($MN)
  • Table 27 Global Precision Irrigation Intelligence Market Outlook, By Precision Farming (2023-2034) ($MN)
  • Table 28 Global Precision Irrigation Intelligence Market Outlook, By End User (2023-2034) ($MN)
  • Table 29 Global Precision Irrigation Intelligence Market Outlook, By Commercial Farms (2023-2034) ($MN)
  • Table 30 Global Precision Irrigation Intelligence Market Outlook, By Greenhouse Operators (2023-2034) ($MN)
  • Table 31 Global Precision Irrigation Intelligence Market Outlook, By Golf Courses (2023-2034) ($MN)
  • Table 32 Global Precision Irrigation Intelligence Market Outlook, By Government Agencies (2023-2034) ($MN)
  • Table 33 Global Precision Irrigation Intelligence Market Outlook, By Agricultural Cooperatives (2023-2034) ($MN)
  • Table 34 Global Precision Irrigation Intelligence Market Outlook, By Research Institutions (2023-2034) ($MN)
  • Table 35 Global Precision Irrigation Intelligence Market Outlook, By Other End Users (2023-2034) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Rest of the World (RoW) Regions are also represented in the same manner as above.