WATER NEWS
enhancing relationships with users is transforming the way utilities operate, leading to more efficient and sustainable processes. These advances streamline resource management as well as addressing extreme events and bolstering the resilience of critical infrastructure. “In 2025, AI will effectively be the driving force transforming customer experiences and business operations, enhancing intelligent workflows and maximising efficiency,” says Maria Malhadas, Director Client Solutions Europe at Xylem.
The Xylem Vue platform, developed as a result of the partnership between Idrica and Xylem, has identified five areas where AI can be applied to transform water management worldwide. This is highlighted in the company's recently published report, Water Technology Trends 2025 - Revolutionising Water Management.
Firstly, dynamic optimisation in treatment plants. In 2025, AI will continue to revolutionise treatment plants through systems that fine-tune processes such as reagent dosing and treatment line control in real time. Digital twins will become more sophisticated, simulating complex scenarios to anticipate problems before they occur. This will boost operational resilience during extreme events and further optimise energy resource use.
Another area where AI plays a decisive role is demand forecasting. Trends indicate that advanced AI algorithms will be pivotal in more accurately predicting consumption peaks. In 2025, resource management will be fully integrated, enabling automatic adjustments in water distribution and storage. This will not only reduce waste but will also empower utilities to respond proactively to variations in user behaviour and weather events.
Similarly, AI is set to optimise energy consumption in pumping stations and treatment plants using predictive models that tailor operations to demand. These solutions, which have already reduced consumption by 25%, will become even more efficient thanks to the integration of real-time climate and usage data, leading to greener management.
48 | May 2025 |
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Some examples of AI-driven applications include advanced algorithms to anticipate consumption peaks and simulate fluctuations in water quality; the use of more sophisticated digital twins to model complex scenarios and anticipate problems such as flooding; and early leak detection and real-time consumption monitoring tools.
Another area where AI will lead is in predictive problem detection. AI systems will also become more skilled in the early detection of leaks, fraud and operational failures this year, according to Xylem Vue. This will strengthen resilience and lower maintenance costs, while delivering a more personalised user experience. Utilities will be able to notify customers instantly about specific issues, promoting more responsible water use.
Finally, Xylem Vue highlights the importance of enhancing wastewater treatment. In 2025, AI will drive fully optimised wastewater treatment, with predictive systems automatically adjusting critical processes to meet stricter environmental regulations. Additionally, digital twins will simulate fluctuations in water quality, anticipating challenges and ensuring long- term sustainability.
According to José Sánchez, Head of Client Delivery at Idrica, artificial intelligence “will remain a cornerstone of sustainable water management in 2025, enabling companies to optimise operations and cut costs through the processing of vast data volumes and real-time, data-driven decision-making.”
In short, AI’s role in water management in 2025 will continue to be critical. Public-private partnerships will also play a key role in maximising its potential.
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