Press release
Global AI in Water Management Market Insights & Growth Outlook (2025-2032) | Major Key Companies likes Honeywell International Inc, Schneider Electric, IBM Corp., ABB, TATA Consultancy Services Limited oracle, SUEZ
AI in Water Management Market
AI in Water Management Market report, published by DataM Intelligence, provides in-depth insights and analysis on key market trends, growth opportunities, and emerging challenges. Committed to delivering actionable intelligence, DataM Intelligence empowers businesses to make informed decisions and stay ahead of the competition. Through a combination of qualitative and quantitative research methods, it offers comprehensive reports that help clients navigate complex market landscapes, drive strategic growth, and seize new opportunities in an ever-evolving global market.
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AI in water management leverages data analytics, machine learning, and predictive modeling to optimize water usage, detect leaks, forecast demand, and improve infrastructure efficiency.
List of the Key Players in the AI in Water Management Market:
Honeywell International Inc, Schneider Electric, IBM Corp., ABB, TATA Consultancy Services Limited oracle, SUEZ, Landis+Gyr, Siemens and Larsen & Toubro.
Industry Development:
In October 2024, FIDO AI Ltd, a software company focused on reducing non-revenue water (NRW) using AI-powered solutions and curated water data, successfully closed its Series B funding round. The new investment will support FIDO AI's global expansion and its mission to enhance water resilience.
In July 2023, SUEZ partnered with Schneider Electric to promote digital solutions that improve energy efficiency, conserve resources, and reduce the carbon footprint of water management systems. The collaboration highlights the role of digital transformation in sustainable water practices.
In June 2023, SUEZ and Northumbrian Water Ltd. (NWL) launched the Hydro Powered Concentric Smart Meter Project, which received the Ofwat Innovation Fund's Catalyst Stream prize. This initiative aims to revolutionize water usage monitoring through next-generation smart metering technology.
Growth Forecast Projected:
The Global AI in Water Management Market is anticipated to rise at a considerable rate during the forecast period, between 2025 and 2032. In 2024, the market is growing at a steady rate, and with the rising adoption of strategies by key players, the market is expected to rise over the projected horizon.
Research Process:
Both primary and secondary data sources have been used in the global AI in Water Management Market research report. During the research process, a wide range of industry-affecting factors are examined, including governmental regulations, market conditions, competitive levels, historical data, market situation, technological advancements, upcoming developments, in related businesses, as well as market volatility, prospects, potential barriers, and challenges.
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Segment Covered in the AI in Water Management Market:
By Offering: Water Meter, Solutions, Services
By Capacity: Less than 25,000L, 25,001 TO 50,000 L, 50,001 L TO 100,000 L, More than 100,001 L
By Technology: Internet of Things (IoT) Devices, Remote Sensing and Satellite Imagery, Data Analytics and Big Data, Cloud Computing Solutions, Others
By End-User: Municipal, Industrial, Commercial, Others
Regional Analysis for AI in Water Management Market:
The regional analysis of the AI in Water Management Market covers key regions including North America, Europe, Asia Pacific Middle East and Africa and South America. The North America with a focus on the U.S., Canada, and Mexico; Europe, highlighting major countries like the U.K., Germany, France, and Italy, along with other nations in the region; Asia-Pacific, covering India, China, Japan, South Korea, and Australia, among others; South America, with emphasis on Colombia, Brazil, and Argentina; and the Middle East & Africa, which includes Saudi Arabia, the U.A.E., South Africa, and other countries. This comprehensive regional breakdown helps identify unique market trends and growth opportunities specific to each area.
⇥ North America (U.S., Canada, Mexico)
⇥ Europe (U.K., Italy, Germany, Russia, France, Spain, The Netherlands and Rest of Europe)
⇥ Asia-Pacific (India, Japan, China, South Korea, Australia, Indonesia Rest of Asia Pacific)
⇥ South America (Colombia, Brazil, Argentina, Rest of South America)
⇥ Middle East & Africa (Saudi Arabia, U.A.E., South Africa, Rest of Middle East & Africa)
Benefits of the Report:
➡ A descriptive analysis of demand-supply gap, market size estimation, SWOT analysis, PESTEL Analysis and forecast in the global market.
➡ Top-down and bottom-up approach for regional analysis
➡ Porter's five forces model gives an in-depth analysis of buyers and suppliers, threats of new entrants & substitutes and competition amongst the key market players.
➡ By understanding the value chain analysis, the stakeholders can get a clear and detailed picture of this Market
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People Also Ask:
➠ What is the global sales, production, consumption, import, and export value of the AI in Water Management market?
➠ Who are the leading manufacturers in the global AI in Water Management industry? What is their operational status in terms of capacity, production, sales, pricing, costs, gross margin, and revenue?
➠ What opportunities and challenges do vendors in the global AI in Water Management industry face?
➠ Which applications, end-users, or product types are expected to see growth? What is the market share for each type and application?
➠ What are the key factors and limitations affecting the growth of the AI in Water Management market?
➠ What are the various sales, marketing, and distribution channels in the global industry?
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DataM Intelligence is a Market Research and Consulting firm that provides end-to-end business solutions to organizations from Research to Consulting. We, at DataM Intelligence, leverage our top trademark trends, insights and developments to emancipate swift and astute solutions to clients like you. We encompass a multitude of syndicate reports and customized reports with a robust methodology.
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