Market research

Smart Water Network

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360iResearch introduction

Smart Water Networks Connect Infrastructure, Data, and Resilience

Smart water networks combine connected meters, sensors, communications, analytics, and control systems to improve visibility across water supply and wastewater assets. Their strategic relevance is increasing as utilities address aging infrastructure, leakage, changing demand patterns, energy intensity, regulatory scrutiny, and climate-related disruption. The market is therefore defined not only by hardware deployment, but also by the integration of operational data into planning, maintenance, customer service, and emergency response.

Inside the research

Coverage at a glance

Selected branches from the published table of contents. Follow a chapter to explore its complete hierarchy.

  1. Chapter 7 Component Type

    • Hardware
    • Services
    • Software
    View chapter
  2. Chapter 8 Technology

    • Advanced Metering Infrastructure
    • Supervisory Control And Data Acquisition
    View chapter
  3. Chapter 9 Utilities Type

    • Wastewater Utilities
    • Water Utilities
    View chapter

Digital Operations Are Reshaping Water-Utility Priorities

Utilities are moving from isolated monitoring projects toward interoperable, network-wide operating models. Advanced metering infrastructure, pressure management, acoustic monitoring, digital twins, remote control, and asset-management platforms are being combined to identify losses and prioritize interventions. Cybersecurity, data governance, workforce skills, and compatibility with existing supervisory control systems have become central adoption considerations. Procurement is also placing greater emphasis on lifecycle performance, open interfaces, service continuity, and measurable operational outcomes.

Artificial Intelligence Turns Network Data Into Operational Decisions

Artificial intelligence can strengthen smart water operations by detecting abnormal consumption, identifying probable leaks, forecasting demand, optimizing pumping, and supporting predictive maintenance. Machine-learning models can also help utilities prioritize inspections by combining pressure, flow, weather, asset-condition, and service-history data. The cumulative effect depends on data quality, sensor coverage, explainability, and human oversight. Utilities must validate models against field conditions, protect sensitive operational information, and retain accountable engineering control over automated recommendations.

Regional Conditions Create Distinct Smart Water Priorities

North America is emphasizing infrastructure renewal, advanced metering, cybersecurity, and utility efficiency. Latin America is focused on non-revenue water, service reliability, and scalable monitoring that can operate across uneven infrastructure conditions. Europe is linking network digitization with water efficiency, environmental regulation, energy management, and resilience. The Middle East is prioritizing demand management, leakage reduction, desalination-related efficiency, and remote operations. Africa is concentrating on dependable service delivery, loss reduction, affordable monitoring, and systems suitable for constrained connectivity. Asia-Pacific combines rapid urbanization, industrial demand, flood and drought exposure, and broad interest in automation, metering, and integrated water management.

Multilateral Groups Shape Standards, Funding, and Implementation Capacity

ASEAN priorities center on urban growth, climate resilience, and scalable digital utility practices across varied institutional settings. BRICS members share interests in infrastructure modernization, water security, and adaptable technologies, while implementation remains shaped by national conditions. The European Union emphasizes environmental compliance, efficiency, interoperability, and data-informed resource management. G7 agendas support resilience, innovation, cybersecurity, and infrastructure quality. GCC countries place particular weight on demand management, desalination efficiency, and water security. NATO members increasingly treat critical-water infrastructure protection, cyber resilience, and continuity of essential services as strategic concerns.

Country Context Determines Deployment Models and Policy Priorities

Australia is focused on drought resilience, remote monitoring, and efficient allocation. Brazil is addressing distribution losses, uneven service quality, and large utility-system diversity. Canada emphasizes asset renewal, cold-climate reliability, and resilience. China is advancing urban digital infrastructure, leakage control, and integrated water governance. France and Germany are combining network modernization with environmental compliance, efficiency, and asset management. India is prioritizing urban service expansion, non-revenue-water reduction, and practical monitoring. Italy and Spain are responding to water scarcity, aging assets, and drought pressure. Japan emphasizes reliability, automation, and disaster preparedness. Mexico is focused on distribution efficiency and service continuity. Russia faces geographically dispersed infrastructure and operational modernization requirements. South Korea is advancing digitally enabled urban and industrial water management. The United Kingdom is emphasizing leakage reduction, resilience, customer visibility, and regulatory performance. The United States is combining infrastructure renewal, advanced metering, cybersecurity, and data-driven utility management.

Leaders Should Build Interoperable, Secure, and Outcome-Driven Programs

Industry leaders should begin with a verified asset and data baseline, then select use cases tied to measurable outcomes such as leakage reduction, service continuity, energy efficiency, response time, or maintenance productivity. Pilot programs should represent real operating conditions and include clear thresholds for scaling. Open architectures, strong identity management, segmentation, backup procedures, and incident-response plans should be embedded from the start. Utilities should invest in operator training, data stewardship, model validation, and cross-functional governance rather than treating technology as a standalone procurement. Partnerships with regulators, municipalities, infrastructure owners, and communities can improve adoption and ensure that digital upgrades support affordability and equitable service.

Methodology Combines Market Definition With Cross-Regional Evidence Review

This executive summary uses a structured review of the smart water network domain, covering connected sensing, metering, communications, analytics, control, and related operational practices across potable-water and wastewater networks. Insights are organized by technology shift, artificial-intelligence application, region, economic or policy grouping, and country context. The assessment emphasizes publicly documented infrastructure conditions, regulatory themes, utility operating priorities, climate pressures, and digital-transformation practices. Claims are framed qualitatively and exclude market estimates, market sizing, market shares, forecasts, and unsupported company-specific assertions.

Smart Water Networks Are Becoming Core Infrastructure for Resilient Service

The sector is shifting from discrete monitoring deployments toward integrated, data-enabled water operations. The strongest long-term value will come from connecting trustworthy field data with engineering expertise, secure systems, and practical asset-management decisions. Regional and national priorities differ, but leakage control, resilience, cybersecurity, workforce capability, and interoperability recur across geographies. Leaders that combine disciplined governance with targeted automation can improve operational visibility while building water systems better prepared for climate stress, infrastructure aging, and changing customer expectations.

Research report

Table of contents

  1. 1.Preface
    1. 1.1Objectives of the Study
    2. 1.2Market Definition
    3. 1.3Market Segmentation & Coverage
    4. 1.4Years Considered for the Study
    5. 1.5Currency Considered for the Study
    6. 1.6Language Considered for the Study
    7. 1.7Key Stakeholders
  2. 2.Research Methodology
    1. 2.1Introduction
    2. 2.2Research Design
      1. 2.2.1Primary Research
      2. 2.2.2Secondary Research
    3. 2.3Research Framework
      1. 2.3.1Qualitative Analysis
      2. 2.3.2Quantitative Analysis
    4. 2.4Market Size Estimation
      1. 2.4.1Top-Down Approach
      2. 2.4.2Bottom-Up Approach
    5. 2.5Data Triangulation
    6. 2.6Research Outcomes
    7. 2.7Research Assumptions
    8. 2.8Research Limitations
  3. 3.Executive Summary
    1. 3.1Introduction
    2. 3.2CXO Perspective
    3. 3.3New Revenue Opportunities
    4. 3.4Next-Generation Business Models
    5. 3.5Industry Roadmap
  4. 4.Market Overview
    1. 4.1Introduction
    2. 4.2Industry Ecosystem & Value Chain Analysis
      1. 4.2.1Supply-Side Analysis
      2. 4.2.2Demand-Side Analysis
      3. 4.2.3Stakeholder Analysis
    3. 4.3Market Dynamics
      1. 4.3.1Key Drivers
      2. 4.3.2Key Restraints
      3. 4.3.3Key Opportunities
      4. 4.3.4Key Challenges
    4. 4.4Porter’s Five Forces Analysis
    5. 4.5PESTLE Analysis
    6. 4.6Market Outlook
      1. 4.6.1Near-Term Market Outlook (0–2 Years)
      2. 4.6.2Medium-Term Market Outlook (3–5 Years)
      3. 4.6.3Long-Term Market Outlook (5–10 Years)
    7. 4.7Go-to-Market Strategy
  5. 5.Market Insights
    1. 5.1Consumer Insights & End-User Perspective
    2. 5.2Consumer Experience Benchmarking
    3. 5.3Opportunity Mapping
    4. 5.4Distribution Channel Analysis
    5. 5.5Pricing Trend Analysis
    6. 5.6Regulatory Compliance & Standards Framework
    7. 5.7ESG & Sustainability Analysis
    8. 5.8Disruption & Risk Scenarios
    9. 5.9Return on Investment & Cost-Benefit Analysis
  6. 6.Cumulative Impact of Artificial Intelligence 2026
  7. 7.Smart Water Network Market, by Component Type
    1. 7.1Introduction
    2. 7.2Hardware
      1. 7.2.1Flow Meters
      2. 7.2.2Sensors
    3. 7.3Services
      1. 7.3.1Consulting
      2. 7.3.2Implementation
      3. 7.3.3Maintenance
    4. 7.4Software
      1. 7.4.1Hydraulic Modeling Software
      2. 7.4.2Leak Detection & Localization Software
      3. 7.4.3Water Quality Management Software
      4. 7.4.4Predictive Maintenance Analytics
  8. 8.Smart Water Network Market, by Technology
    1. 8.1Introduction
    2. 8.2Advanced Metering Infrastructure
    3. 8.3Supervisory Control And Data Acquisition
  9. 9.Smart Water Network Market, by Utilities Type
    1. 9.1Introduction
    2. 9.2Wastewater Utilities
    3. 9.3Water Utilities
  10. 10.Smart Water Network Market, by Control Mode
    1. 10.1Introduction
    2. 10.2Monitoring
    3. 10.3Decision Support
    4. 10.4Remote Control
    5. 10.5Autonomous Control
  11. 11.Smart Water Network Market, by Application
    1. 11.1Introduction
    2. 11.2Leak Detection
    3. 11.3Pressure Management
    4. 11.4Water Quality Monitoring
    5. 11.5Asset Performance Management
    6. 11.6Consumption Analytics
    7. 11.7Non-Revenue Water Management
  12. 12.Smart Water Network Market, by End Use
    1. 12.1Introduction
    2. 12.2Commercial
    3. 12.3Residential
  13. 13.Smart Water Network Market, by Region
    1. 13.1Introduction
    2. 13.2Asia-Pacific
    3. 13.3North America
    4. 13.4Latin America
    5. 13.5Europe
    6. 13.6Middle East
    7. 13.7Africa
  14. 14.Smart Water Network Market, by Group
    1. 14.1Introduction
    2. 14.2ASEAN
    3. 14.3GCC
    4. 14.4European Union
    5. 14.5BRICS
    6. 14.6G7
    7. 14.7NATO
  15. 15.Smart Water Network Market, by Country
    1. 15.1Introduction
    2. 15.2United States
    3. 15.3Canada
    4. 15.4Mexico
    5. 15.5Brazil
    6. 15.6United Kingdom
    7. 15.7Germany
    8. 15.8France
    9. 15.9Russia
    10. 15.10Italy
    11. 15.11Spain
    12. 15.12China
    13. 15.13India
    14. 15.14Japan
    15. 15.15Australia
    16. 15.16South Korea
  16. 16.Competitive Landscape
    1. 16.1Market Share Analysis, 2025
    2. 16.2Market Concentration Analysis, 2025
      1. 16.2.1Concentration Ratio (CR)
      2. 16.2.2Herfindahl Hirschman Index (HHI)
    3. 16.3Recent Developments & Impact Analysis, 2025
    4. 16.4Product Portfolio Analysis, 2025
    5. 16.5Benchmarking Analysis, 2025
  17. 17.Company Profiles
    1. 17.1ABB Ltd.
    2. 17.2Aquamatix Limited
    3. 17.3Arad Group
    4. 17.4Badger Meter, Inc.
    5. 17.5Bentley Systems Inc.
    6. 17.6Diehl Stiftung & Co. KG
    7. 17.7Emerson Electric Co.
    8. 17.8Evoqua Water Technologies Corp.
    9. 17.9General Electric Company
    10. 17.10Hitachi, Ltd.
    11. 17.11Honeywell International Inc.
    12. 17.12Hubbell Incorporated
    13. 17.13HydroPoint Data Systems, Inc.
    14. 17.14IBM Corporation
    15. 17.15Itron Inc.
    16. 17.16Kamstrup A/S
    17. 17.17Landis + Gyr AG
    18. 17.18Moen Incorporated
    19. 17.19Mueller Water Products, Inc. by Walter Industries Inc.
    20. 17.20Neptune Technology Group Inc.
    21. 17.21Oracle Corporation
    22. 17.22Schneider Electric SE
    23. 17.23Siemens AG
    24. 17.24Smart Water Networks Forum
    25. 17.25SPML Infra Limited
    26. 17.26SUEZ Group
    27. 17.27TaKaDu Ltd.
    28. 17.28Trimble Inc.
    29. 17.29Veolia Environnement S.A.
    30. 17.30Xylem Inc.
  18. 18.Key Experts

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