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Global Smart Water Grid Market - 2025-2032

Global Smart Water Grid Market - 2025-2032


Overview Global Smart Water Grid Market reached US$ 29.41 billion in 2024 and is expected to reach US$ 49.15 billion by 2032, growing with a CAGR of 6.63% during the forecast period 2025-2032. ... もっと見る

 

 

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DataM Intelligence
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2025年2月13日 US$4,350
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3-4営業日以内 203 英語

 

Summary

Overview
Global Smart Water Grid Market reached US$ 29.41 billion in 2024 and is expected to reach US$ 49.15 billion by 2032, growing with a CAGR of 6.63% during the forecast period 2025-2032.
The smart water grid market is projected for considerable growth, driven by its advanced features and growing global acceptance. Significant advancements like real-time sensing, quality monitoring, demand forecasting and effective identification of bursts and leaks are transforming water management systems. The characteristics improve operating efficiency, facilitate strategic planning and reduce water loss, a progressively vital goal amid escalating worldwide water scarcity.
The refurbishment of old water infrastructure and the establishment of precise billing methodologies further propel the market's growth. The increasing focus on enhancing water supply systems and management methods highlights the essential function of smart water grids in tackling modern water issues. The incorporation of smart grid technology, which is already revolutionizing the energy sector, is crucial to this advancement.
Through the usage of digital intelligence, smart grids enhance the capabilities of water utilities and consumers, facilitating effective resource management and minimizing operational inefficiencies. In July 2023, the US exemplified the revolutionary capabilities of smart grids, featuring comprehensive infrastructure that facilitates efficient electricity delivery. The water sector is anticipated to gain from these developments, promoting sustainable resource management and decreasing carbon emissions associated with water distribution and treatment systems.
Dynamics
Driver 1 - Sustainability and efficiency in the smart water grid
The global shift to sustainable development has significantly increased dependence on renewable energy sources, including wind, solar, biofuels, hydro and geothermal, which today represent over 15% of global energy production. This change introduces increased complexity to power infrastructure, requiring creative solutions such as smart grid technologies.
Smart grids are transforming conventional infrastructure, especially in water management, by improving reliability and resilience. Smart grid technology facilitates swift service restoration following disturbances, decreasing outages, expenses and downtime, therefore mitigating financial losses. Utilizing cloud-based data processing and automation, these systems enhance situational awareness and optimize resource allocation through big data analytics.
Furthermore, incorporating technologies such as outage mapping optimizes the utilization of smart grid data for preventive and restorative initiatives. The infrastructure facilitates the seamless incorporation of renewable energy at transmission and distribution levels, enhancing energy efficiency and diminishing carbon emissions in water supply systems for commercial and residential applications.
Driver 2 – Technological advancement
The incorporation of sophisticated information technologies, including Geographic Information Systems (GIS) and Supervisory Control and Data Acquisition (SCADA) systems, substantially improves the capacity to oversee and regulate water systems in real-time. Geographic Information Systems (GIS) offer a more precise depiction of system assets and their geographical positions, enhancing planning and resource distribution. SCADA systems facilitate the centralized aggregation and processing of sensor data, hence enhancing the precision of control over geographically dispersed assets.
The above mentioned technologies provide the prompt identification and prevention of leaks, an essential component of efficient asset management and the reduction of water losses. Conventional water delivery systems frequently prioritize sustaining high-pressure pumping to service remote clients, resulting in inefficiencies, particularly within deteriorating infrastructure. Smart water grids are used near real-time data, variable-speed pumps, dynamic control valves and smart meters to equilibrate demand, mitigate over-pressure in pipelines and enhance the efficiency of both water and energy consumption. This dynamic, data-driven methodology facilitates the optimal management of water resources and systems, assuring long-term sustainability and cost efficiency.
Smart water systems provide substantial economic and environmental advantages through improved leak detection, enhanced conservation initiatives and ongoing water quality monitoring. The deployment of such devices enables utilities to detect water loss or unauthorized connections, hence minimizing financial waste and enhancing overall service performance. Smart water grids provide consumer monitoring of water usage via wireless data transfer, so enabling individuals to conserve water and reduce utility expenses, fostering a more sustainable and customer-oriented water management framework.
Restraint: Regulatory and policy constraints
Current laws, generally formulated for conventional grid systems, are not compatible with the adaptable, dynamic characteristics of smart grids. Consequently, there is an urgent necessity to revise legislative frameworks to integrate new technology, business models and market structures vital for the effective deployment of smart grids.
In the US, the Federal Energy Regulatory Commission (FERC) and state regulators play essential roles in policy formulation; yet, regulatory differences among states may obstruct the establishment of a unified and efficient smart water grid infrastructure. The regulatory anomalies hinder the standardization of policies that may promote the use of smart grid technologies across various regions.
Furthermore, policy uncertainty inhibits investment, since utilities and stakeholders are reluctant to engage in long-term projects without clear and stable policies that provide dependable support. Effectively handling the extensive data produced by smart grids, encompassing real-time data from sensors and meters, necessitates advanced systems for data collecting, storage and analysis. The intricacy of complying with data privacy requirements, such as the GDPR in Europe, exacerbates the issue, since utilities must guarantee that sensitive consumer information is protected from unwanted access.
Segment Analysis
The global smart water grid market is segmented based on component, technology, application and region.
Advancement in smart water infrastructure for efficient water management
Smart Water Infrastructure (SWI) is an essential component of the modernized water distribution and treatment system, leveraging advanced technologies and data-driven analytics to enhance water resource management. SWI incorporates sensors, Internet of Things (IoT) devices, smart meters and real-time monitoring systems to improve the efficiency and sustainability of water systems.
By continuously monitoring water usage, flow rate and pressure levels, SWI can help utilities reduce water losses, improve water quality and optimize distribution and treatment processes. The technology behind SWI includes advanced data analytics and machine learning algorithms, enabling predictive maintenance, early leak detection and pollution monitoring. These capabilities provide utilities with the tools needed to make informed decisions about water usage and resource allocation.
Additionally, SWI helps utilities respond swiftly to issues, preventing overloading and ensuring efficient water supply management. In August 26, 2024, according to Siemens Smart Infrastructure in a release, the new grid sensor solution will play a pivotal role in digitalising distribution grids, enabling grid operators to achieve full network transparency.
Geographical Penetration
Rising urbanization and water security in North America
The market in North America is experiencing significant growth, driven by the increasing adoption of Automated Meter Reading (AMR) and Advanced Metering Infrastructure (AMI) technologies. The solutions provide utilities with real-time data on water consumption, enabling more efficient water management, improved billing accuracy and enhanced leak detection. North America, particularly US, leads in the installation of AMI systems, representing over 70% of the installed endpoints in Europe and North America in 2019.
The market’s expansion is also fueled by rising concerns about water security, particularly the need to reduce Non-Revenue Water (NRW), which includes water lost due to leaks, poor metering and theft. In North America, urbanization, aging infrastructure and rising energy costs are further driving the demand for smart water solutions. The US government’s investment in smart grid infrastructure, including the installation of smart water meters, has played a critical role in advancing the market. With projections for a 28% growth in the AMI smart water metering sector in 2024, the market outlook remains positive.
Competitive Landscape
The major global players in the market include IBM Corporation, Siemens AG, Xylem Inc., Schneider Electric SE, Honeywell International Inc., ABB Group, Itron Inc., Badger Meter, Inc., Aclara Technologies LLC and Trimble Inc.
Sustainability Analysis
The Smart Water Grid represents a sustainable approach for contemporary water distribution networks (WDNs), combining Information and Communications Technology (ICT) with traditional water management techniques. SWGs promote operational efficiency, reduce water wastage and improve decision-making by facilitating real-time monitoring and analysis of water consumption. The system mitigates uncertainties associated with conventional inspection methods and enables expedited responses to accidents like as leaks or faulty meters, hence decreasing maintenance expenses.
Real-time data promotes water conservation practices among consumers and enhances the precision of billed consumption. Extensively utilized in industrialized nations like Japan and Singapore, SWGs offer a more regulated and robust distribution system, guaranteeing water sustainability from various sources. Nonetheless, its utilization in nations such as Indonesia is nonetheless constrained. The incorporation of green technology enhances the environmental sustainability of water management, rendering SWGs an essential instrument for future water infrastructure design.
Consumer Behaviour Analysis
Consumer behavior in the smart water grid market indicates an escalating awareness of sustainable water management and a rising need for efficient and dependable water systems. As the worldwide water crisis escalates, urban consumers are increasingly motivated to use innovative technology to improve water usage efficiency, reduce waste and assure sustainable resource management.
The principal factor affecting consumer behavior in this sector is the capacity of SWG systems to deliver real-time data and actionable insights. By facilitating transparency in water usage and providing accurate monitoring, these technologies enable consumers to effectively regulate their consumption and minimize billing conflicts. Moreover, increased environmental awareness is driving households and enterprises to implement technologies that correspond with sustainability objectives.
An exceptional instance of consumer-oriented implementation can be seen in Singapore, where the Smart Water Grid technology supports the Public Utilities Board's (PUB) objective of delivering a dependable water supply around the clock. PUB effectively oversees the water supply network around the island by utilizing sensors and analytical technologies, guaranteeing sustainable water resources for all Singaporeans.
Early Stage Innovations
The smart water grid market is experiencing a significant technological shift, driven by advancements like digital twin technologies and the enhanced use of sensors and artificial intelligence (AI). Significant early-stage advancements in this field encompass solutions aimed at mitigating non-revenue water and optimizing water management procedures.
An exemplary case is the collaboration between Xylem and Idrica, which introduced Xylem Vue powered by GoAigua. This platform consolidates data into a cohesive model, improving the efficiency of water utility operations. The proliferation of AI-driven technology is evident in initiatives such as VA SYD in Sweden, where AI is employed to identify water leaks and decrease non-revenue water by roughly 2%, from 10% to below 8%. The deployment of smart water meters, including the 315,000 NB-IoT meters provided by Vodafone in Spain, illustrates the continuous advancement towards digitalization.
The necessity for enhanced water management is becoming pressing as the global water crisis escalates, affecting 2-3 billion individuals globally who face water scarcity. The industry is experiencing an increase in funding, propelled by government subsidies and initiatives aimed at improving water efficiency and resilience. This financial assistance is expediting the implementation of smart water grid technologies.
Companies are prioritizing water reclamation, automation for process enhancement and cybersecurity to protect digital infrastructure. With water demand projected to rise by 30% by 2050, advances like AI and automation will be crucial for the efficient and sustainable management of water resources. The developments position the smart water grid market for substantial growth, tackling present and future difficulties in water management.
Emerging Market Players and Strategic Initiatives
Emerging players in the smart water grid market are focusing on large-scale initiatives to drive digital transformation and enhance operational efficiency. A prominent example is the Dubai Electricity and Water Authority (DEWA), which on December 30th, 2024, announced the implementation of a smart grid with a total investment of AED 7 billion (US$ 1.9 billion). This ambitious project aligns with the UAE’s vision to position Dubai as the smartest and happiest city globally.
The smart grid will enable seamless, 24/7 integrated services, incorporating cutting-edge technologies such as artificial intelligence (AI) and the Internet of Things (IoT). These innovations will facilitate automated decision-making and ensure interoperability across electricity and water networks, contributing to more reliable, efficient and sustainable operations. Such strategic initiatives reflect a growing commitment to leveraging the potential of disruptive technologies to enhance water and energy management in the global smart grid market.
By Component
• Hardware
• Software
• Services
By Technology
• Smart Infrastructure
• Control & Automation
• ICT & Analytical Software
• Design & Engineering
By Application
• Residential
• Commercial
• Industrial
By Region
• North America
• South America
• Europe
• Asia-Pacific
• Middle East and Africa
Key Developments
• In 23 January 2025, KETOS, a prominent innovator in water intelligence and Siemens, a major technology firm, have collaborated to deliver water quality solutions and enhance water management for operators. The collaboration targets the industrial and municipal water sectors, intending to deliver full water quality control systems.
• In 09 July 2024, Genus Power Infrastructures Limited, an Indian smart meter company, reported the successful completion of its inaugural shipment of Smart Ultrasonic Water Meters DN20 to Australia, signifying a pivotal advancement in the company's foray into water management systems.
Why Purchase the Report?
• To visualize the global smart water grid market segmentation based on component, technology, end-user and region, as well as understand key commercial assets and players.
• Identify commercial opportunities by analyzing trends and co-development.
• Excel data sheet with numerous data points of the smart water grid market with all segments.
• PDF report consists of a comprehensive analysis after exhaustive qualitative interviews and an in-depth study.
• Product mapping available as excel consisting of key products of all the major players.
The global smart water grid market report would provide approximately 62 tables, 53 figures and 203 pages.
Target Audience 2024
• Manufacturers/ Buyers
• Industry Investors/Investment Bankers
• Research Professionals
• Emerging Companies

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Table of Contents

1. Methodology and Scope
1.1. Research Methodology
1.2. Research Objective and Scope of the Report
2. Definition and Overview
3. Executive Summary
3.1. Snippet by Component
3.2. Snippet by Technology
3.3. Snippet by Application
3.4. Snippet by Region
4. Dynamics
4.1. Impacting Factors
4.1.1. Drivers
4.1.1.1. Sustainability and efficiency in the smart water grid
4.1.1.2. Technological advancement
4.1.2. Restraints
4.1.2.1. Regulatory and policy constraints
4.1.3. Opportunity
4.1.4. Impact Analysis
5. Industry Analysis
5.1. Porter's Five Force Analysis
5.2. Supply Chain Analysis
5.3. Pricing Analysis
5.4. Regulatory Analysis
5.5. DMI Opinion
6. By Component
6.1. Introduction
6.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
6.1.2. Market Attractiveness Index, By Component
6.2. Hardware*
6.2.1. Introduction
6.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
6.3. Software
6.4. Services
7. By Technology
7.1. Introduction
7.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
7.1.2. Market Attractiveness Index, By Technology
7.2. Smart Infrastructure*
7.2.1. Introduction
7.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
7.3. Control & Automation
7.4. ICT & Analytical Software
7.5. Design & Engineering
8. By Application
8.1. Introduction
8.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
8.1.2. Market Attractiveness Index, By Application
8.2. Residential*
8.2.1. Introduction
8.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
8.3. Commercial
8.4. Industrial
9. By Region
9.1. Introduction
9.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Region
9.1.2. Market Attractiveness Index, By Region
9.2. North America
9.2.1. Introduction
9.2.2. Key Region-Specific Dynamics
9.2.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
9.2.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
9.2.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
9.2.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
9.2.6.1. US
9.2.6.2. Canada
9.2.6.3. Mexico
9.3. Europe
9.3.1. Introduction
9.3.2. Key Region-Specific Dynamics
9.3.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
9.3.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
9.3.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
9.3.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
9.3.6.1. Germany
9.3.6.2. UK
9.3.6.3. France
9.3.6.4. Italy
9.3.6.5. Spain
9.3.6.6. Rest of Europe
9.4. South America
9.4.1. Introduction
9.4.2. Key Region-Specific Dynamics
9.4.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
9.4.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
9.4.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
9.4.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
9.4.6.1. Brazil
9.4.6.2. Argentina
9.4.6.3. Rest of South America
9.5. Asia-Pacific
9.5.1. Introduction
9.5.2. Key Region-Specific Dynamics
9.5.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
9.5.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
9.5.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
9.5.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
9.5.6.1. China
9.5.6.2. India
9.5.6.3. Japan
9.5.6.4. Australia
9.5.6.5. Rest of Asia-Pacific
9.6. Middle East and Africa
9.6.1. Introduction
9.6.2. Key Region-Specific Dynamics
9.6.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
9.6.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
9.6.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
10. Competitive Landscape
10.1. Competitive Scenario
10.2. Market Positioning/Share Analysis
10.3. Mergers and Acquisitions Analysis
11. Company Profiles
11.1. IBM Corporation*
11.1.1. Company Overview
11.1.2. Product Portfolio and Description
11.1.3. Financial Overview
11.1.4. Key Developments
11.2. Siemens AG
11.3. Xylem Inc.
11.4. Schneider Electric SE
11.5. Honeywell International Inc.
11.6. ABB Group
11.7. Itron Inc.
11.8. Badger Meter, Inc.
11.9. Aclara Technologies LLC
11.10. Trimble Inc.
LIST NOT EXHAUSTIVE
12. Appendix
12.1. About Us and Services
12.2. Contact Us

 

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