TrendSift Google Trends rising searches · products / sites / ads
Keyword detail

Data visualization

Graphical representation of information and data using visual elements like charts, graphs, and maps. Data visualization tools make complex data more understandable, accessible, and usable by highlighting trends, outliers, and patterns.

Long-term growth Competitive
41KMonthly searches
-37.6%90-day growth
+142.7%12-month growth
LinkedInMain platform

History

201520202025

Covers 181 months, 2011-09 to 2026-09 · Peaked in 2026-05; now at 70% of peak

Last 24 months

What to build with it

Monthly searches: 40,500 · 90-day growth: -37.6% · 12-month growth: +142.7%

The history spans 181 months; current interest is 70% of the historical peak.

Take one "Data visualization" core and skin it for three industries, sell annual licences, and triple the price per account.

Down 38% over 90 days — only worth lightweight content, not development.

Metric

MetricValue
Estimated monthly searches40,500
90-day growth-37.6%
12-month growth+142.7%
Listed for87 months
CarrierWebsite / App / SaaS
FormSaaS / B2B tool
Opportunity typeFlat
StageLong-term growth
WindowCompetitive
Seasonality33%
Volatility22%

Channel mix

LinkedIn79K
Pinterest28K
YouTube20K
Facebook12K
Instagram8K
Reddit4K
TikTok838
X8

Social mentions by channel. The leading one is usually the cheapest place to start.

Score breakdown

Growth10030%
Scale10030%
Stability8818%
Freshness012%
Coverage8510%

Opportunity score:67.5 / 100

Related opportunities

Frequently asked questions

What is the monthly search volume for Data visualization

About 40,500 searches per month (estimate); -37.6% over the last 90 days.

Is Data visualization better for a website or a product

It mainly comes down to the carrier and the form. Digital product: delivered online, so acquisition cost and monetisation matter most.

Search interest comes from Google Trends. Monthly volume is an estimate converted with standard keyword-tool methodology, while growth and scores are computed by us from the historical curve. About the data