Key Takeaways
- Video adoption is high: 91% of B2B marketers use video as a marketing tool (Wyzowl, 2024), supporting webinar and demo video investment in water
- The US EPA’s WaterSense program (a marketing/incentives program) has certified 58,000+ product models as of 2024, illustrating market adoption leveraged via messaging and certification
- US utilities serving 52% of the population have deployed some form of advanced metering infrastructure (AMI) as of 2022 (industry survey/utility penetration benchmark), supporting targeted marketing for metering vendors
- $14.6 billion global water treatment chemicals market size in 2023, showing the scale of chemicals suppliers that market through performance and regulatory messaging
- $46.0 billion global smart water management market size forecast for 2030, demonstrating long-term demand for connected solutions that often rely on lead-gen and brand trust
- 8.6% CAGR for the smart water meter market globally (2024–2030), supporting continued vendor marketing around interoperability and analytics value
- 42% of utilities reported that cybersecurity was a top/very important priority in 2023, indicating marketing opportunities centered on risk reduction and resilience messaging
- Water utilities in the US reported experiencing an increase in security incidents, with 58% stating an increase in cyber risk in 2024 (survey), emphasizing the sales/marketing value of compliance-driven narratives
- 1 in 3 (33%) utilities planned to upgrade water metering within 3 years (survey), supporting targeted marketing for AMI and metering equipment
- 48% of B2B buyers use multiple sources (including vendor websites, peer reviews, and industry reports) during the selection process (2023 B2B buyer survey), supporting multi-channel marketing for water vendors
- 63% of B2B buyers say they trust peer recommendations more than vendor communications (survey), implying marketing must activate credible third-party proof
- 54% of utility buyers reported that vendor references/case studies are required during procurement (survey), showing buyer behavior dependent on proof points
- 10.5% average conversion rate from marketing-qualified leads to sales-qualified leads in 2024 (reported benchmark), informing funnel metrics for water-sector lead gen
- Companies using marketing automation see an average 10% increase in revenue (peer-reviewed/meta analysis of marketing automation impact), supporting automation in water-sector lifecycle marketing
- B2B marketers reported that improving lead quality accounts for 40% of campaign optimization goals (annual marketing survey), relevant to targeting within water procurement roles
Water marketers are winning with proof driven video, trusted references, and targeted tech messaging as AMI, cyber, and platforms grow.
Related reading
01 · Category
User Adoption4 stats
User Adoption Interpretation
02 · Category
Market Size3 stats
Market Size Interpretation
03 · Category
Industry Trends6 stats
Industry Trends Interpretation
More related reading
04 · Category
Buyer Behavior3 stats
Buyer Behavior Interpretation
05 · Category
Performance Metrics3 stats
Performance Metrics Interpretation
06 · Category
Cost Analysis6 stats
Cost Analysis Interpretation
Where water marketing must win: adoption vs proof
Strong uptake signals clear channel opportunities—while buyer trust and procurement requirements mean marketing must deliver credible, reference-backed proof.
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Priya Chandrasekaran. (2026, February 13). Marketing In The Water Industry Statistics. Gitnux. https://gitnux.org/marketing-in-the-water-industry-statistics
Priya Chandrasekaran. "Marketing In The Water Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/marketing-in-the-water-industry-statistics.
Priya Chandrasekaran. 2026. "Marketing In The Water Industry Statistics." Gitnux. https://gitnux.org/marketing-in-the-water-industry-statistics.
Sources & references
25 datasets cited across this report · attribution is report-level
+4 additional datasets cited (not shown individually)

