Visualization practitioners
A general assistant beside Excel, Tableau, Python, R, D3, Figma, or a publishing tool
Prepare, debug, learn, storyboard, draft labels, make a first view
Observed survey patternSpecific AI-product share was not measured.
Who is reaching for what
AI is entering through existing work, not replacing the visualization stack.
The best available adoption evidence shows practitioners adding AI beside spreadsheets, code, design, and BI tools. Creation and analysis are ahead of trusted conversational consumption.
825 practitioners answered whether they had used AI in visualization work during the prior year.
Online, self-selected survey. The result describes respondents, not the population or product market share.
37.0%305 used AI
59.6%492 did not
Use was up 13 percentage points from the 2023 survey. The 28 unsure responses are the narrow violet segment.
Early-lifecycle jobs were more common than visualization production.
Multiple selections were allowed, so the bars do not sum to 100%.
Prepare or clean184
Analyze134
Ideate or storyboard119
Produce visualizations92
Support a viz team27
WhoFirst reachJobEvidence
Analytics engineers and code-capable analysts
General coding assistance, then project-aware notebook or development agents
Write SQL or Python, document models, debug pipelines, create analysis output
Observed survey patternBroader than visualization and vendor-adjacent.
Spreadsheet-native teams
AI inside Excel or Sheets; AI spreadsheets when code or live connections outgrow the grid
Ask about a range, create formulas and charts, preserve a familiar handoff
Installed-base inferenceExcel use is observed; AI-feature adoption is not.
BI authors and data teams
AI inside an existing BI, notebook, or governed data platform
Author reports, reuse measures, inspect queries, answer follow-ups, govern access
Provider target + casesNo independent head-to-head field test.
Business consumers and executives
Conversational BI over curated metrics
Retrieve a number, ask why it changed, get an ad hoc cut without navigating a report
Provider target + testimonyTrust depends on narrow, owned definitions.
Designers, journalists, and communicators
General help for ideation or code, then a deliberate design and publishing surface
Explore, create variants, annotate, improve accessibility, implement a story
Small subgroup + inferenceNot a population estimate.
DVS survey and public data ↗ · Analytics-engineering survey ↗. Both are self-reported and nonrepresentative; denominators remain attached.