Water Utility Analytics Market (2026-2036)

The growth of this market is mainly driven by rising pressure on water and wastewater utilities to reduce non-revenue water, prevent pipe failures, and control operating costs, the growing volume of data from smart meters, sensors, SCADA systems, and inspection technologies, aging infrastructure and large investment gaps that require better prioritization of capital spending, workforce retirements that make it important to capture operational knowledge in digital tools, stricter regulatory requirements for leakage, sewer overflows, water quality, and reporting, the maturity of cloud computing, artificial intelligence, and digital twin technologies, and the expansion of software-as-a-service models that make analytics affordable for small and medium-sized utilities. However, factors such as limited budgets and conservative procurement practices at utilities, fragmented and poor-quality data, integration challenges with legacy operational systems, cybersecurity concerns, and shortages of data skills are expected to restrain the growth of this market to some extent.

Water utility analytics refers to software and services that collect, integrate, and analyze data from water and wastewater utility systems to support operational, financial, and strategic decisions. These solutions use data from smart meters, flow and pressure sensors, SCADA systems, geographic information systems, customer information systems, computerized maintenance management systems, laboratory systems, inspection technologies, and weather and hydrological sources, and they apply statistical models, hydraulic models, machine learning, and artificial intelligence to generate insights. Applications include non-revenue water and leak analytics, customer and meter data analytics, asset management and predictive maintenance, network modeling and digital twins, treatment plant optimization, and water quality and other applications. This report covers analytics software and related implementation, integration, and managed services sold to drinking water, wastewater, and stormwater utilities, across offerings, applications, deployment models, utility types, and regions. Smart meters, sensors, and other hardware are excluded and are analyzed in separate reports. The market is measured on a revenue basis.

Water utilities face a growing set of operational, financial, and regulatory challenges that increase the value of analytics. Many networks are old and deteriorating, water losses and main breaks remain high, sewer overflows and flooding are increasing with more intense storms, regulatory requirements are becoming stricter, and experienced staff are retiring. At the same time, utilities generate large and growing amounts of data from meters, sensors, and operational systems, but much of this data has historically been stored in separate systems and used only for limited purposes. Analytics solutions help utilities turn this data into actionable insights, such as identifying leaks, predicting pipe failures, optimizing pumping and treatment, and planning capital investments.

The market has evolved from standalone tools, such as hydraulic modeling software and meter data management systems, toward integrated platforms that combine data from many sources and provide multiple applications. Platforms such as Xylem Vue, Bentley's water infrastructure solutions, Autodesk's Innovyze portfolio, and solutions from Itron, Badger Meter, Mueller, and others offer modules for leak detection, network management, asset management, and plant operations. Specialized providers such as TaKaDu, FIDO Tech, VODA.ai, Fracta, Aquasight, and Idrica focus on specific applications or offer advanced AI capabilities.

Non-revenue water and leak analytics account for the largest share of the market, since water losses are one of the most costly problems for utilities and analytics can identify leaks, bursts, and meter errors from meter, flow, pressure, and acoustic data. Asset management and predictive maintenance analytics help utilities prioritize pipe renewal and equipment maintenance, while network modeling and digital twins allow real-time simulation of networks for operations and planning. Treatment plant optimization uses analytics to reduce energy and chemical use, and customer and meter data analytics support billing, customer service, and demand forecasting.

Cloud deployment accounts for the largest and fastest-growing share of the market, as utilities adopt software-as-a-service models that reduce IT costs and allow faster deployment of new capabilities. However, many utilities still use on-premise systems for critical operational applications due to cybersecurity and regulatory concerns. Drinking water utilities account for the largest share of the market, while wastewater and stormwater utilities are growing faster, driven by sewer overflow regulations, flooding, and treatment optimization.

Services, including implementation, data integration, consulting, training, and managed analytics, are an important part of the market, since utilities often need help to integrate data, configure applications, and change their operating practices. Many utilities also outsource analytics to vendors or consultants, especially small utilities with limited in-house capabilities.

The market includes water technology companies, metering companies, engineering software companies, enterprise software companies, industrial automation companies, engineering consultants, and specialized analytics start-ups. Leading companies include Xylem, Itron, Badger Meter, Mueller Water Products, Bentley Systems, Autodesk (Innovyze), Oracle, AVEVA, Siemens, Arcadis, Idrica, TaKaDu, FIDO Tech, VODA.ai, Fracta, and Aquasight.

Over the forecast period, the water utility analytics market is expected to grow rapidly, supported by digital transformation programs at utilities, the growing installed base of smart meters and sensors, regulatory and financial pressures, and advances in artificial intelligence and cloud computing. North America is expected to remain the largest market, while Asia-Pacific is expected to grow fastest.

With smart meters and sensors across the city, we now have more data than our staff can analyze, so AI-based analytics are essential for reducing water losses.

This comment explains why Asia-Pacific is the fastest-growing region and why AI-based analytics are gaining importance in large cities.

North America is expected to account for the largest share of 40.0% of the market in 2026, mainly due to the large number of utilities, high adoption of smart meters and sensors, aging infrastructure, regulatory requirements, and the presence of leading analytics providers.

Asia-Pacific is projected to register the highest CAGR of 16.8% during the forecast period, driven by urbanization, high non-revenue water, water scarcity, smart city programs, and large-scale smart meter deployments.

The report profiles 16 companies, including Xylem, Itron, Badger Meter, Mueller Water Products, Bentley Systems, Autodesk (Innovyze), Oracle, AVEVA, Siemens, Arcadis, Idrica, TaKaDu, FIDO Tech, VODA.ai, Fracta, and Aquasight.