Optimizing Industrial Water Use through Digital Transformation

The document argues that industrial water management is currently inefficient, with significant water loss and pollution, but can be transformed through digital tools. It details four functional levers for improvement: using predictive maintenance and digital twins for infrastructure resilience; AI and IoT for flow and pressure optimization; smart sensors for real-time quality monitoring; and automated systems for wastewater treatment and reuse. The paper provides case studies from Sweden, Spain, and Romania to illustrate these applications and proposes a strategic action plan to overcome regulatory and financial barriers to adoption.

• Industrial water management is characterized by severe inefficiencies, including leakages that account for 25-50% of cumulative water use in industries, with losses reaching nearly 50% in Italy.
• Global freshwater demand is expected to exceed supply by 40% by 2030, and industrial applications currently account for approximately 17% of all water withdrawals.
• Digital transformation can enhance infrastructure resilience through predictive maintenance, using IoT sensors for acoustic vibrations and pressure, AI for pattern recognition, and digital twins to simulate failures and test maintenance strategies.
• AI-driven analytics and IoT can improve operational efficiency by optimizing flow rates and forecasting demand; for example, Amazon Web Services reduced data centre water use from 0.25 litres/kWh to 0.19 litres/kWh in one year.
• Real-time quality assurance is enabled by IoT sensors tracking pH, dissolved oxygen, and turbidity, while AI can predict contamination risks to allow for preventive measures like rerouting flow.
• Digital technologies advance resource recovery by optimizing wastewater treatment; a Beko facility in Ulmi, Romania, uses a membrane bioreactor and reverse osmosis with real-time monitoring to recycle 68% of wastewater.
• A strategic framework for 'water-smart industry' requires a three-pronged approach: navigating regulatory challenges through audits and automated reporting, driving collaboration via technology partnerships and benchmarking, and tackling financial barriers through ROI models and green bonds.

APA

World Economic Forum (2025). Optimizing Industrial Water Use through Digital Transformation. https://reports.weforum.org/docs/WEF_Optimizing_Industrial_Water_Use_2025.pdf

Chicago

World Economic Forum. Optimizing Industrial Water Use through Digital Transformation. 2025. https://reports.weforum.org/docs/WEF_Optimizing_Industrial_Water_Use_2025.pdf.

Wikipedia

{{cite report |author=World Economic Forum |title=Optimizing Industrial Water Use through Digital Transformation |date=July 2025 |url=https://reports.weforum.org/docs/WEF_Optimizing_Industrial_Water_Use_2025.pdf |access-date=23 October 2026 |via=Climate Insights Directory}}

BibTeX

@techreport{worldeconomicforum2025optimizing, author = {{World Economic Forum}}, title = {{Optimizing Industrial Water Use through Digital Transformation}}, institution = {World Economic Forum}, year = {2025}, month = jul, url = {https://reports.weforum.org/docs/WEF_Optimizing_Industrial_Water_Use_2025.pdf}, urldate = {2026-10-23}, note = {Indexed by Climate Insights Directory} }