세계의 스마트 관개 시장(-2035년) : 구성요소 유형별, 시스템 유형별, 응용 분야별, 기업 유형별, 지역별, 산업 동향과 예측

Smart Irrigation Market, Till 2035: Distribution by Type of Component, Type of System, Area of Application, Type of Enterprise and Geographical Regions: Industry Trends and Global Forecasts

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한글목차

스마트 관개 시장 개요

세계 스마트 관개 시장 규모는 현재 18억 9,000만 달러에서 2035년까지 74억 7,000만 달러에 달할 것으로 예상되며, 2035년까지 예측 기간 동안 13.28%의 연평균 성장률을 보일 것으로 예상됩니다.

스마트 관개 시장 : 성장과 동향

Food and Agriculture Organization에 따르면, 현재 전 세계 3억 500만 헥타르가 넘는 면적에 관개를 사용할 수 있는 것으로 나타났습니다. 이는 관개에 기술이 획기적으로 통합되고 있음을 보여줍니다. 주목할 만한 점은 작물 관리와 자원 활용을 강화하기 위해 다양한 농작업에 스마트 기술이 점점 더 많이 통합되고 있기 때문에 관개용 AI가 이 산업을 변화시킬 것으로 예상된다는 점입니다.

스마트 관개의 주요 이점으로는 물과 에너지 절약, 인건비 절감, 식물 건강 상태 개선, 장기적인 비용 절감 등이 있습니다. 또한, 스마트 관개는 실시간으로 관수 스케줄을 조정하는 날씨 반응 기술과 토양 수분 모니터링 기술, 모바일 기기를 통한 원격 접속, 데이터 분석을 통한 지속적인 최적화 등 다양한 기능을 제공합니다. 인터넷의 급속한 확산과 사회적 인식의 증가로 인해 주요 산업에서 AI, IoT와 같은 기술 혁신의 채택이 증가하고 있음을 인식하는 것이 필수적입니다.

스마트 관개 시장은 더 높은 농업 효율성과 물 절약을 달성하기 위한 세계 혁신과 디지털 전환에 필수적인 요소로 부상하고 있습니다. IoT 장치는 토양 수분, 날씨 패턴, 작물 상태에 대한 실시간 정보 수집을 위해 센서를 활용하여 스마트 관개 시장의 잠재력을 최대로 실현하는 데 있어 중요합니다. 또한 AI 기반 도구는 데이터를 분석하여 정확한 예측 모델링과 적응형 관개 전략을 용이하게함으로써 물 관리의 효율성과 지속가능성을 모두 향상시키고 있습니다.

그 결과, 지속적인 기술 발전과 투자 증가로 인해 스마트 관개 시장은 예측 기간 동안 크게 성장할 것으로 예상됩니다.

세계의 스마트 관개 시장에 대해 조사했으며, 시장 규모 추정 및 기회 분석, 경쟁 상황, 기업 프로파일, SWOT 분석 등의 정보를 전해드립니다.

목차

섹션 1 보고서 개요

제1장 서문

제2장 조사 방법

제3장 시장 역학

제4장 거시경제 지표

섹션 2 정성적 인사이트

제5장 주요 요약

제6장 소개

제7장 규제 시나리오

섹션 3 시장 개요

제8장 주요 기업의 종합적인 데이터베이스

제9장 경쟁 구도

제10장 화이트 스페이스 분석

제11장 기업 경쟁력 분석

제12장 스마트 관개 시장의 스타트업 생태계

섹션 4 기업 개요

제13장 기업 개요

• 분석 개요
• AquaSpy
• Banyan Water
• Caipos
• Calsense
• Delta-T Devices
• ET Water
• Galcon
• Hunter Industries
• HydroPoint
• Jain Irrigation
• Netafim
• Rachio
• Rain Bird
• Soil Scout Oy
• The Toro Company
• Weathermatic

섹션 5 시장 동향

제14장 메가트렌드 분석

제15장 미충족 수요 분석

제16장 특허 분석

제17장 최근 발전

섹션 6 시장 기회 분석

제18장 세계의 스마트 관개 시장

제19장 시장 기회 : 구성요소 유형별

제20장 시장 기회 : 시스템 유형별

제21장 시장 기회 : 응용 분야별

제22장 시장 기회 : 기업 유형별

제23장 북미의 스마트 관개 시장 기회

제24장 유럽의 스마트 관개 시장 기회

제25장 아시아의 스마트 관개 시장 기회

제26장 중동 및 북아프리카(MENA)의 스마트 관개 시장 기회

제27장 라틴아메리카의 스마트 관개 시장 기회

제28장 기타 지역의 스마트 관개 시장 기회

제29장 시장 집중 분석 : 주요 기업별

제30장 인접 시장 분석

섹션 7 전략 툴

제31장 주요 성공 전략

제32장 Porter's Five Forces 분석

제33장 SWOT 분석

제34장 밸류체인 분석

제35장 Roots의 전략적 제안

섹션 8 기타 독점적 인사이트

제36장 1차 조사를 통한 인사이트

제37장 보고서 결론

섹션 9 부록

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영문 목차

영문목차

Smart Irrigation Market Overview

As per Roots Analysis, the global smart irrigation market size is estimated to grow from USD 1.89 billion in the current year to USD 7.47 billion by 2035, at a CAGR of 13.28% during the forecast period, till 2035.

The opportunity for smart irrigation market has been distributed across the following segments:

Type of Component

• Controllers
• Sensors
• Water Flow Meters
• Others

Type of System

• Sensor-Based Controller Systems
• Weather-Based Controller Systems

Area of Application

• Agricultural
• Non-Agricultural

Type of Enterprise

• Large
• Small and Medium Enterprise

Geographical Regions

• North America
• US
• Canada
• Mexico
• Other North American countries
• Europe
• Austria
• Belgium
• Denmark
• France
• Germany
• Ireland
• Italy
• Netherlands
• Norway
• Russia
• Spain
• Sweden
• Switzerland
• UK
• Other European countries
• Asia
• China
• India
• Japan
• Singapore
• South Korea
• Other Asian countries
• Latin America
• Brazil
• Chile
• Colombia
• Venezuela
• Other Latin American countries
• Middle East and North Africa
• Egypt
• Iran
• Iraq
• Israel
• Kuwait
• Saudi Arabia
• UAE
• Other MENA countries
• Rest of the World
• Australia
• New Zealand
• Other countries

SMART IRRIGATION MARKET: GROWTH AND TRENDS

According to the Food and Agriculture Organization, over 305 million hectares worldwide are currently set up for irrigation. This demonstrates the groundbreaking integration of technology into irrigation. It is important to note that artificial intelligence in irrigation is set to transform the industry as smart technologies are increasingly incorporated into various agricultural practices to enhance crop management and resource use.

Some key benefits of smart irrigation include water and energy savings, reduced labor costs, improved plant health, and substantial long-term cost reductions. Additionally, smart irrigation provides various features, such as weather-responsive and soil moisture monitoring technologies that adjust watering schedules in real-time, remote access via mobile devices, and data analytics for continuous optimization. It is essential to recognize that the adoption of technological innovations like AI and IoT in major industries is increasing due to the rapid expansion of the internet and growing public awareness.

The smart irrigation market is rising as an essential element in the global evolution towards innovation and digital change aimed at achieving greater farming efficiency and water conservation. Internet of Things (IoT) devices have been crucial in realizing the full potential of the smart irrigation market by utilizing sensors to gather real-time information on soil moisture, weather patterns, and crop conditions. Further, AI-powered tools facilitate precise predictive modeling and adaptable irrigation strategies by analyzing data, thereby improving both efficiency and sustainability in water management.

As a result, with ongoing technological advancements and increasing investment, the smart irrigation market is anticipated to grow significantly during the forecast period.

SMART IRRIGATION MARKET: KEY SEGMENTS

Market Share by Type of Component

Based on type of component, the global smart irrigation market is segmented into controllers, sensors, water flow meters and others. According to our estimates, currently, sensors capture the majority share of the market. Further, this segment is expected to grow at a higher CAGR during the forecast period. This can be attributed to several factors, including their essential function in improving agricultural output and resource utilization by offering real-time information on soil moisture, temperature, and humidity.

Market Share by Type of System

Based on type of system, the smart irrigation market is segmented into sensor-based controller systems and weather-based controller systems. According to our estimates, currently, sensor-based controller systems capture the majority of the market. Further, this segment is expected to grow at a higher CAGR during the forecast period. This can be attributed to its capability to examine extensive datasets from various sources, along with its enhanced efficiency and flexibility in comparison to irrigation control systems that rely on weather data.

Market Share by Area of Application

Based on area of application, the smart irrigation market is segmented into agricultural and non-agricultural. According to our estimates, currently, non-agricultural segment captures the majority share of the market. This can be attributed to the growing need for effective water management in landscaping, golf courses, and sports venues, especially in urban locations experiencing water shortages.

Market Share by Type of Enterprise

Based on type of enterprise, the smart irrigation market is segmented into large and small and medium enterprise. According to our estimates, currently, large companies capture the majority share of the market. Further, this segment is expected to grow at a higher CAGR during the forecast period. This can be attributed to its ability to invest in advanced irrigation technologies, leverage significant resources, enhance economies of scale, and promote business expansion.

Market Share by Geographical Regions

Based on geographical regions, the smart irrigation market is segmented into North America, Europe, Asia, Latin America, Middle East and North Africa, and the rest of the world. According to our estimates, currently, North America captures the majority share of the market. However, owing to the significant investments, government programs, and the expanding irrigation sector in nations such as China and India, the market in Asia is anticipated to grow at a relatively higher CAGR during the forecast period.

Example Players in Smart Irrigation Market

• AquaSpy
• Banyan Water
• Caipos
• Calsense
• Delta-T Devices
• ET Water
• Galcon
• Hunter Industries
• HydroPoint
• Jain Irrigation
• Netafim
• Rachio
• Rain Bird
• Soil Scout Oy
• The Toro Company
• Weathermatic

SMART IRRIGATION MARKET: RESEARCH COVERAGE

The report on the smart irrigation market features insights on various sections, including:

• Market Sizing and Opportunity Analysis: An in-depth analysis of the smart irrigation market, focusing on key market segments, including [A] type of component, [B] type of system, [C] area of application, [D] type of enterprise, [E] geographical regions.
• Competitive Landscape: A comprehensive analysis of the companies engaged in the smart irrigation market, based on several relevant parameters, such as [A] year of establishment, [B] company size, [C] location of headquarters and [D] type of component, [E] type of system, [F] area of application, [G] type of enterprise
• Company Profiles: Elaborate profiles of prominent players engaged in the smart irrigation market, providing details on [A] location of headquarters, [B]company size, [C] company mission, [D] company footprint, [E] management team, [F] contact details, [G] financial information, [H] operating business segments, [I] smart irrigation portfolio, [J] moat analysis, [K] recent developments, and an informed future outlook.
• Megatrends: An evaluation of ongoing megatrends in smart irrigation industry.
• Patent Analysis: An insightful analysis of patents filed / granted in the smart irrigation domain, based on relevant parameters, including [A] type of patent, [B] patent publication year, [C] patent age and [D] leading players.
• Recent Developments: An overview of the recent developments made in the smart irrigation market, along with analysis based on relevant parameters, including [A] year of initiative, [B] type of initiative, [C] geographical distribution and [D] most active players.
• Porter's Five Forces Analysis: An analysis of five competitive forces prevailing in the smart irrigation market, including threats of new entrants, bargaining power of buyers, bargaining power of suppliers, threats of substitute products and rivalry among existing competitors.
• SWOT Analysis: An insightful SWOT framework, highlighting the strengths, weaknesses, opportunities and threats in the domain. Additionally, it provides Harvey ball analysis, highlighting the relative impact of each SWOT parameter.

KEY QUESTIONS ANSWERED IN THIS REPORT

• How many companies are currently engaged in smart irrigation market?
• Which are the leading companies in this market?
• What factors are likely to influence the evolution of this market?
• What is the current and future market size?
• What is the CAGR of this market?
• How is the current and future market opportunity likely to be distributed across key market segments?

REASONS TO BUY THIS REPORT

• The report provides a comprehensive market analysis, offering detailed revenue projections of the overall market and its specific sub-segments. This information is valuable to both established market leaders and emerging entrants.
• Stakeholders can leverage the report to gain a deeper understanding of the competitive dynamics within the market. By analyzing the competitive landscape, businesses can make informed decisions to optimize their market positioning and develop effective go-to-market strategies.
• The report offers stakeholders a comprehensive overview of the market, including key drivers, barriers, opportunities, and challenges. This information empowers stakeholders to stay abreast of market trends and make data-driven decisions to capitalize on growth prospects.

ADDITIONAL BENEFITS

• Complimentary Excel Data Packs for all Analytical Modules in the Report
• 15% Free Content Customization
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TABLE OF CONTENTS

SECTION I: REPORT OVERVIEW

1. PREFACE

• 1.1. Introduction
• 1.2. Market Share Insights
• 1.3. Key Market Insights
• 1.4. Report Coverage
• 1.5. Key Questions Answered
• 1.6. Chapter Outlines

2. RESEARCH METHODOLOGY

• 2.1. Chapter Overview
• 2.2. Research Assumptions
• 2.3. Database Building
  • 2.3.1. Data Collection
  • 2.3.2. Data Validation
  • 2.3.3. Data Analysis
• 2.4. Project Methodology
  • 2.4.1. Secondary Research
    • 2.4.1.1. Annual Reports
    • 2.4.1.2. Academic Research Papers
    • 2.4.1.3. Company Websites
    • 2.4.1.4. Investor Presentations
    • 2.4.1.5. Regulatory Filings
    • 2.4.1.6. White Papers
    • 2.4.1.7. Industry Publications
    • 2.4.1.8. Conferences and Seminars
    • 2.4.1.9. Government Portals
    • 2.4.1.10. Media and Press Releases
    • 2.4.1.11. Newsletters
    • 2.4.1.12. Industry Databases
    • 2.4.1.13. Roots Proprietary Databases
    • 2.4.1.14. Paid Databases and Sources
    • 2.4.1.15. Social Media Portals
    • 2.4.1.16. Other Secondary Sources
  • 2.4.2. Primary Research
    • 2.4.2.1. Introduction
    • 2.4.2.2. Types
      • 2.4.2.2.1. Qualitative
      • 2.4.2.2.2. Quantitative
    • 2.4.2.3. Advantages
    • 2.4.2.4. Techniques
      • 2.4.2.4.1. Interviews
      • 2.4.2.4.2. Surveys
      • 2.4.2.4.3. Focus Groups
      • 2.4.2.4.4. Observational Research
      • 2.4.2.4.5. Social Media Interactions
    • 2.4.2.5. Stakeholders
      • 2.4.2.5.1. Company Executives (CXOs)
      • 2.4.2.5.2. Board of Directors
      • 2.4.2.5.3. Company Presidents and Vice Presidents
      • 2.4.2.5.4. Key Opinion Leaders
      • 2.4.2.5.5. Research and Development Heads
      • 2.4.2.5.6. Technical Experts
      • 2.4.2.5.7. Subject Matter Experts
      • 2.4.2.5.8. Scientists
      • 2.4.2.5.9. Doctors and Other Healthcare Providers
    • 2.4.2.6. Ethics and Integrity
      • 2.4.2.6.1. Research Ethics
      • 2.4.2.6.2. Data Integrity
  • 2.4.3. Analytical Tools and Databases

3. MARKET DYNAMICS

• 3.1. Forecast Methodology
  • 3.1.1. Top-Down Approach
  • 3.1.2. Bottom-Up Approach
  • 3.1.3. Hybrid Approach
• 3.2. Market Assessment Framework
  • 3.2.1. Total Addressable Market (TAM)
  • 3.2.2. Serviceable Addressable Market (SAM)
  • 3.2.3. Serviceable Obtainable Market (SOM)
  • 3.2.4. Currently Acquired Market (CAM)
• 3.3. Forecasting Tools and Techniques
  • 3.3.1. Qualitative Forecasting
  • 3.3.2. Correlation
  • 3.3.3. Regression
  • 3.3.4. Time Series Analysis
  • 3.3.5. Extrapolation
  • 3.3.6. Convergence
  • 3.3.7. Forecast Error Analysis
  • 3.3.8. Data Visualization
  • 3.3.9. Scenario Planning
  • 3.3.10. Sensitivity Analysis
• 3.4. Key Considerations
  • 3.4.1. Demographics
  • 3.4.2. Market Access
  • 3.4.3. Reimbursement Scenarios
  • 3.4.4. Industry Consolidation
• 3.5. Robust Quality Control
• 3.6. Key Market Segmentations
• 3.7. Limitations

4. MACRO-ECONOMIC INDICATORS

• 4.1. Chapter Overview
• 4.2. Market Dynamics
  • 4.2.1. Time Period
    • 4.2.1.1. Historical Trends
    • 4.2.1.2. Current and Forecasted Estimates
  • 4.2.2. Currency Coverage
    • 4.2.2.1. Overview of Major Currencies Affecting the Market
    • 4.2.2.2. Impact of Currency Fluctuations on the Industry
  • 4.2.3. Foreign Exchange Impact
    • 4.2.3.1. Evaluation of Foreign Exchange Rates and Their Impact on Market
    • 4.2.3.2. Strategies for Mitigating Foreign Exchange Risk
  • 4.2.4. Recession
    • 4.2.4.1. Historical Analysis of Past Recessions and Lessons Learnt
    • 4.2.4.2. Assessment of Current Economic Conditions and Potential Impact on the Market
  • 4.2.5. Inflation
    • 4.2.5.1. Measurement and Analysis of Inflationary Pressures in the Economy
    • 4.2.5.2. Potential Impact of Inflation on the Market Evolution
  • 4.2.6. Interest Rates
    • 4.2.6.1. Overview of Interest Rates and Their Impact on the Market
    • 4.2.6.2. Strategies for Managing Interest Rate Risk
  • 4.2.7. Commodity Flow Analysis
    • 4.2.7.1. Type of Commodity
    • 4.2.7.2. Origins and Destinations
    • 4.2.7.3. Values and Weights
    • 4.2.7.4. Modes of Transportation
  • 4.2.8. Global Trade Dynamics
    • 4.2.8.1. Import Scenario
    • 4.2.8.2. Export Scenario
  • 4.2.9. War Impact Analysis
    • 4.2.9.1. Russian-Ukraine War
    • 4.2.9.2. Israel-Hamas War
  • 4.2.10. COVID Impact / Related Factors
    • 4.2.10.1. Global Economic Impact
    • 4.2.10.2. Industry-specific Impact
    • 4.2.10.3. Government Response and Stimulus Measures
    • 4.2.10.4. Future Outlook and Adaptation Strategies
  • 4.2.11. Other Indicators
    • 4.2.11.1. Fiscal Policy
    • 4.2.11.2. Consumer Spending
    • 4.2.11.3. Gross Domestic Product (GDP)
    • 4.2.11.4. Employment
    • 4.2.11.5. Taxes
    • 4.2.11.6. R&D Innovation
    • 4.2.11.7. Stock Market Performance
    • 4.2.11.8. Supply Chain
    • 4.2.11.9. Cross-Border Dynamics

SECTION II: QUALITATIVE INSIGHTS

5. EXECUTIVE SUMMARY

6. INTRODUCTION

• 6.1. Chapter Overview
• 6.2. Overview of Smart Irrigation Market
  • 6.2.1. Type of Component
  • 6.2.2. Type of System
  • 6.2.3. Area of Application
  • 6.2.4. Type of Enterprise
• 6.3. Future Perspective

7. REGULATORY SCENARIO

SECTION III: MARKET OVERVIEW

8. COMPREHENSIVE DATABASE OF LEADING PLAYERS

9. COMPETITIVE LANDSCAPE

• 9.1. Chapter Overview
• 9.2. Smart Irrigation: Overall Market Landscape
  • 9.2.1. Analysis by Year of Establishment
  • 9.2.2. Analysis by Company Size
  • 9.2.3. Analysis by Location of Headquarters
  • 9.2.4. Analysis by Ownership Structure

10. WHITE SPACE ANALYSIS

11. COMPANY COMPETITIVENESS ANALYSIS

12. STARTUP ECOSYSTEM IN THE SMART IRRIGATION MARKET

• 12.1. Smart Irrigation Market: Market Landscape of Startups
  • 12.1.1. Analysis by Year of Establishment
  • 12.1.2. Analysis by Company Size
  • 12.1.3. Analysis by Company Size and Year of Establishment
  • 12.1.4. Analysis by Location of Headquarters
  • 12.1.5. Analysis by Company Size and Location of Headquarters
  • 12.1.6. Analysis by Ownership Structure
• 12.2. Key Findings

SECTION IV: COMPANY PROFILES

13. COMPANY PROFILES

• 13.1. Chapter Overview
• 13.2. AquaSpy *
  • 13.2.1. Company Overview
  • 13.2.2. Company Mission
  • 13.2.3. Company Footprint
  • 13.2.4. Management Team
  • 13.2.5. Contact Details
  • 13.2.6. Financial Performance
  • 13.2.7. Operating Business Segments
  • 13.2.8. Service / Product Portfolio (project specific)
  • 13.2.9. MOAT Analysis
  • 13.2.10. Recent Developments and Future Outlook
• 13.3. Banyan Water
• 13.4. Caipos
• 13.5. Calsense
• 13.6. Delta-T Devices
• 13.7. ET Water
• 13.8. Galcon
• 13.9. Hunter Industries
• 13.10. HydroPoint
• 13.11. Jain Irrigation
• 13.12. Netafim
• 13.13. Rachio
• 13.14. Rain Bird
• 13.15. Soil Scout Oy
• 13.16. The Toro Company
• 13.17. Weathermatic

SECTION V: MARKET TRENDS

14. MEGA TRENDS ANALYSIS

15. UNMET NEED ANALYSIS

16. PATENT ANALYSIS

17. RECENT DEVELOPMENTS

• 17.1. Chapter Overview
• 17.2. Recent Funding
• 17.3. Recent Partnerships
• 17.4. Other Recent Initiatives

SECTION VI: MARKET OPPORTUNITY ANALYSIS

18. GLOBAL SMART IRRIGATION MARKET

• 18.1. Chapter Overview
• 18.2. Key Assumptions and Methodology
• 18.3. Trends Disruption Impacting Market
• 18.4. Demand Side Trends
• 18.5. Supply Side Trends
• 18.6. Global Smart Irrigation Market, Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 18.7. Multivariate Scenario Analysis
  • 18.7.1. Conservative Scenario
  • 18.7.2. Optimistic Scenario
• 18.8. Investment Feasibility Index
• 18.9. Key Market Segmentations

19. MARKET OPPORTUNITY BASED ON TYPE OF COMPONENT

• 19.1. Chapter Overview
• 19.2. Key Assumptions and Methodology
• 19.3. Revenue Shift Analysis
• 19.4. Market Movement Analysis
• 19.5. Penetration-Growth (P-G) Matrix
• 19.6. Smart Irrigation Market for Controllers: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 19.7. Smart Irrigation Market for Sensors: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 19.8. Smart Irrigation Market for Water Flow Meters: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 19.9. Smart Irrigation Market for Others: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 19.10. Data Triangulation and Validation
  • 19.10.1. Secondary Sources
  • 19.10.2. Primary Sources
  • 19.10.3. Statistical Modeling

20. MARKET OPPORTUNITIES BASED ON TYPE OF SYSTEM

• 20.1. Chapter Overview
• 20.2. Key Assumptions and Methodology
• 20.3. Revenue Shift Analysis
• 20.4. Market Movement Analysis
• 20.5. Penetration-Growth (P-G) Matrix
• 20.6. Smart Irrigation Market for Sensor-Based Controller Systems: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 20.7. Smart Irrigation Market for Weather-Based Controller Systems: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 20.8. Data Triangulation and Validation
  • 20.8.1. Secondary Sources
  • 20.8.2. Primary Sources
  • 20.8.3. Statistical Modeling

21. MARKET OPPORTUNITIES BASED ON AREA OF APPLICATION

• 21.1. Chapter Overview
• 21.2. Key Assumptions and Methodology
• 21.3. Revenue Shift Analysis
• 21.4. Market Movement Analysis
• 21.5. Penetration-Growth (P-G) Matrix
• 21.6. Smart Irrigation Market for Agricultural: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 21.7. Smart Irrigation Market for Non-Agricultural: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 21.9. Data Triangulation and Validation
  • 21.9.1. Secondary Sources
  • 21.9.2. Primary Sources
  • 21.9.3. Statistical Modeling

22. MARKET OPPORTUNITIES BASED ON TYPE OF ENTERPRISE

• 22.1. Chapter Overview
• 22.2. Key Assumptions and Methodology
• 22.3. Revenue Shift Analysis
• 22.4. Market Movement Analysis
• 22.5. Penetration-Growth (P-G) Matrix
• 22.6. Smart Irrigation Market for Large: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 22.7. Smart Irrigation Market for Small and Medium Enterprise: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 22.8. Data Triangulation and Validation
  • 22.8.1. Secondary Sources
  • 22.8.2. Primary Sources
  • 22.8.3. Statistical Modeling

23. MARKET OPPORTUNITIES FOR SMART IRRIGATION IN NORTH AMERICA

• 23.1. Chapter Overview
• 23.2. Key Assumptions and Methodology
• 23.3. Revenue Shift Analysis
• 23.4. Market Movement Analysis
• 23.5. Penetration-Growth (P-G) Matrix
• 23.6. Smart Irrigation Market in North America: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 23.6.1. Smart Irrigation Market in the US: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 23.6.2. Smart Irrigation Market in Canada: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 23.6.3. Smart Irrigation Market in Mexico: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 23.6.4. Smart Irrigation Market in Other North American Countries: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 23.7. Data Triangulation and Validation

24. MARKET OPPORTUNITIES FOR SMART IRRIGATION IN EUROPE

• 24.1. Chapter Overview
• 24.2. Key Assumptions and Methodology
• 24.3. Revenue Shift Analysis
• 24.4. Market Movement Analysis
• 24.5. Penetration-Growth (P-G) Matrix
• 24.6. Smart Irrigation Market in Europe: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 24.6.1. Smart Irrigation Market in Austria: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 24.6.2. Smart Irrigation Market in Belgium: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 24.6.3. Smart Irrigation Market in Denmark: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 24.6.4. Smart Irrigation Market in France: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 24.6.5. Smart Irrigation Market in Germany: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 24.6.6. Smart Irrigation Market in Ireland: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 24.6.7. Smart Irrigation Market in Italy: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 24.6.8. Smart Irrigation Market in Netherlands: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 24.6.9. Smart Irrigation Market in Norway: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 24.6.10. Smart Irrigation Market in Russia: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 24.6.11. Smart Irrigation Market in Spain: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 24.6.12. Smart Irrigation Market in Sweden: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 24.6.13. Smart Irrigation Market in Sweden: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 24.6.14. Smart Irrigation Market in Switzerland: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 24.6.15. Smart Irrigation Market in the UK: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 24.6.16. Smart Irrigation Market in Other European Countries: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 24.7. Data Triangulation and Validation

25. MARKET OPPORTUNITIES FOR SMART IRRIGATION IN ASIA

• 25.1. Chapter Overview
• 25.2. Key Assumptions and Methodology
• 25.3. Revenue Shift Analysis
• 25.4. Market Movement Analysis
• 25.5. Penetration-Growth (P-G) Matrix
• 25.6. Smart Irrigation Market in Asia: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 25.6.1. Smart Irrigation Market in China: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 25.6.2. Smart Irrigation Market in India: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 25.6.3. Smart Irrigation Market in Japan: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 25.6.4. Smart Irrigation Market in Singapore: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 25.6.5. Smart Irrigation Market in South Korea: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 25.6.6. Smart Irrigation Market in Other Asian Countries: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 25.7. Data Triangulation and Validation

26. MARKET OPPORTUNITIES FOR SMART IRRIGATION IN MIDDLE EAST AND NORTH AFRICA (MENA)

• 26.1. Chapter Overview
• 26.2. Key Assumptions and Methodology
• 26.3. Revenue Shift Analysis
• 26.4. Market Movement Analysis
• 26.5. Penetration-Growth (P-G) Matrix
• 26.6. Smart Irrigation Market in Middle East and North Africa (MENA): Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 26.6.1. Smart Irrigation Market in Egypt: Historical Trends (Since 2019) and Forecasted Estimates (Till 205)
  • 26.6.2. Smart Irrigation Market in Iran: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 26.6.3. Smart Irrigation Market in Iraq: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 26.6.4. Smart Irrigation Market in Israel: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 26.6.5. Smart Irrigation Market in Kuwait: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 26.6.6. Smart Irrigation Market in Saudi Arabia: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 26.6.7. Smart Irrigation Market in United Arab Emirates (UAE): Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 26.6.8. Smart Irrigation Market in Other MENA Countries: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 26.7. Data Triangulation and Validation

27. MARKET OPPORTUNITIES FOR SMART IRRIGATION IN LATIN AMERICA

• 27.1. Chapter Overview
• 27.2. Key Assumptions and Methodology
• 27.3. Revenue Shift Analysis
• 27.4. Market Movement Analysis
• 27.5. Penetration-Growth (P-G) Matrix
• 27.6. Smart Irrigation Market in Latin America: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 27.6.1. Smart Irrigation Market in Argentina: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 27.6.2. Smart Irrigation Market in Brazil: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 27.6.3. Smart Irrigation Market in Chile: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 27.6.4. Smart Irrigation Market in Colombia Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 27.6.5. Smart Irrigation Market in Venezuela: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 27.6.6. Smart Irrigation Market in Other Latin American Countries: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 27.7. Data Triangulation and Validation

28. MARKET OPPORTUNITIES FOR SMART IRRIGATION IN REST OF THE WORLD

• 28.1. Chapter Overview
• 28.2. Key Assumptions and Methodology
• 28.3. Revenue Shift Analysis
• 28.4. Market Movement Analysis
• 28.5. Penetration-Growth (P-G) Matrix
• 28.6. Smart Irrigation Market in Rest of the World: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 28.6.1. Smart Irrigation Market in Australia: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 28.6.2. Smart Irrigation Market in New Zealand: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 28.6.3. Smart Irrigation Market in Other Countries
• 28.7. Data Triangulation and Validation

29. MARKET CONCENTRATION ANALYSIS: DISTRIBUTION BY LEADING PLAYERS

• 29.1. Leading Player 1
• 29.2. Leading Player 2
• 29.3. Leading Player 3
• 29.4. Leading Player 4
• 29.5. Leading Player 5
• 29.6. Leading Player 6
• 29.7. Leading Player 7
• 29.8. Leading Player 8

30. ADJACENT MARKET ANALYSIS

SECTION VII: STRATEGIC TOOLS

31. KEY WINNING STRATEGIES

32. PORTER'S FIVE FORCES ANALYSIS

33. SWOT ANALYSIS

34. VALUE CHAIN ANALYSIS

35. ROOTS STRATEGIC RECOMMENDATIONS

• 35.1. Chapter Overview
• 35.2. Key Business-related Strategies
  • 35.2.1. Research & Development
  • 35.2.2. Product Manufacturing
  • 35.2.3. Commercialization / Go-to-Market
  • 35.2.4. Sales and Marketing
• 35.3. Key Operations-related Strategies
  • 35.3.1. Risk Management
  • 35.3.2. Workforce
  • 35.3.3. Finance
  • 35.3.4. Others

SECTION VIII: OTHER EXCLUSIVE INSIGHTS

36. INSIGHTS FROM PRIMARY RESEARCH

37. REPORT CONCLUSION

SECTION IX: APPENDIX

38. TABULATED DATA

39. LIST OF COMPANIES AND ORGANIZATIONS

40. CUSTOMIZATION OPPORTUNITIES

41. ROOTS SUBSCRIPTION SERVICES

42. AUTHOR DETAILS

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