Rapid growth in the implementation of AI in municipal water treatment has been driven by the challenges utilities face, including water scarcity, aging infrastructure, rising energy costs, and strict regulations. The use of advanced AI-based technologies such as machine learning, predictive analytics, digital twins, and real-time process optimization continues to drive improvements in treatment efficiency, operational automation, chemical and energy use optimization, and enable predictive maintenance of water and wastewater treatment plants. AI has evolved from pilot testing to commercial use at an accelerating pace, driven by both increased public and private capital. Municipalities are currently selecting AI solutions that will integrate with their existing Supervisory Control and Data Acquisition (SCADA) and Internet of Things (IoT) systems and demonstrate measurable operational benefits.
Report Includes
Impact analysis of artificial intelligence (AI) on the global advanced technologies for municipal water treatment market
Case studies for successful integration of AI and machine learning in water quality monitoring, process optimization, predictive maintenance and resource management
Highlights of AI adoption trends across major geographical regions, as well as disruptions caused by AI across urban municipal facilities, community and rural treatment plant and residential and institutional systems
AI’s role in operational efficiency, regulatory compliance, system reliability and sustainability initiatives
Review of AI impact on the various stages of the global municipal water treatment value chain and supply chain analysis
Competitive landscape featuring key strategic initiatives, market spendings and an investment outlook
Table of Contents
Chapter 1 Key Use Cases for AI Adoption in Advanced Technologies for Municipal Water Treatment Market
Overview
Key Use Cases/Case Studies
Case 1: AI-Driven Digital Twin for Process Optimization
Case 2: Digital Twin and Predictive Asset Management (Suez)
Case 3: AI for Water Quality Verification in Drinking Water Supply
Case 4: AI-Enhanced Leak and Failure Prediction Models
Chapter 2 AI Adoption Trends
Adoption Trends by Region
Adoption Trends in North America
Adoption Trends in Europe
Adoption Trends in Asia-Pacific
Adoption Trends in the Rest of the World (RoW)
Chapter 3 AI Disruption Trends
Impact of AI on Key Industry Verticals
Urban Municipal Facilities
Community and Rural Treatment Plant
Residential and Institutional Systems
Impact of AI on Various Stages of the Supply Chain
Technology Development and System Design
Manufacturing and System Integration
Deployment and Commissioning
Marketing
Chapter 4 Market Spending and Investment Scenario
Overview
Market Spending and Investment Scenario
Chapter 5 Abbreviations
Abbreviations Used in the Report
List of Tables
Table 1: Advanced Technologies for Municipal Water Treatment Spending and Investment, 2023 to 2025 Table 2: Abbreviations Used in This Report
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