How big is the Water Analytics Market | Industry Trends & Growth Insights 2025

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Code: MTA9676

Publication Date: Oct 2025

What is the size of Water Analytics Market?

According to 6Wresearch internal database and industry insights, the Water Analytics Market was valued at USD 5.4 Billion in 2024 and is expected to reach USD 9.1 Billion by 2031, growing at a CAGR of 7.5% during the 2025-2031.

The main drivers of this growth are the increasing adoption of smart monitoring solutions, stricter regulatory frameworks for water quality management, and demand for data-driven insights to improve resource efficiency. Water utilities, municipalities, and industries are rapidly adopting advanced analytics platforms for compliance and sustainability.

Growth Factors for Water Analytics Industry

Rising demand for real-time monitoring of water treatment and distribution systems.
Adoption of cloud-based analytics to enhance operational efficiency.
Increasing need to detect contaminants with advanced sensor technologies.
Government policies promoting smart water infrastructure projects.
Integration of predictive analytics supporting preventive maintenance.

Water Analytics Market Trends

Trends in the Water Analytics Market indicate increasing usage of sensors integrated with the Internet of Things (IoT), cloud platforms, and analytics tools powered by artificial intelligence (AI) to improve water administration. Utilities and industry are using predictive analytics to identify anomalies and inefficiencies and detect leaks as part of preventative maintenance. There is a growing trend toward modular and scalable solutions that may be implemented over urban and industrial water utility networks. Digital twins of water systems are emerging, which are simulations for optimisation purposes. Sustainability initiatives are driving the adoption of more advanced analytics that aim at improving water conservation.

Emerging Developments in the Water Analytics Market

The Water Analytics Market developments highlight strong investments in AI- and machine learning-based platforms to allow for better accuracy in predictions about water quality. Companies are developing software ecosystems with integration across analytics, automation, and remote monitoring components. Edge computing solutions are being developed to improve timing in processing water data. Partnerships are being formed among utilities, technology providers and research organisations devoted to innovation. Subscription-based models for water analytics services are being developed to reach smaller and medium-sized water utilities and enable wider access to platforms offering more sophisticated analytics services.