B
Evidence Grade B
Graded
accuracy verified by the review judge
Safe to Cite
Current
60%
60% -- genai data augmentation adoption rate for enterprises (2026)
Gartner predicts that 60% of enterprises will use generative AI for data augmentation by 2026.
- Forward-looking analyst projection / forecast
Attribution:
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Lighthouse Research Team
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Source verified
Evidence graded
Value
60%
Unit
Percentage
Data Vintage
2026
Entity
Evidence Quality
B
Strong, reliable evidence
Sourced from a well-regarded research firm or industry leader with transparent methodology and a reasonably large sample.
Single source - not yet corroborated
Score breakdown
Extraction
50
Source Trust
60
Citation Chain
20
Independence
30
Methodology
45
Freshness
95
Source
Gartner
Primary
Tier C
https://merren.io/ai-in-survey-data-analysis/ ↗
Source Article
Analyze Survey Data with Artificial Intelligence
The launch of ChatGPT in November 2022 marked a turning point. Everyone could access generative artificial intelligence (AI) and capture data that was on their finger-prints. AI is transforming survey data analysis by quickly and accurately identifying patterns and trends in responses. This shift is…
Original Research
Gartner
· Original study ↗
Methodology
Gartner forecast cited secondhand; baseline 20% adoption in 2023
Methodology documented
Segmentation
Industrymarketing
Cite this stat
Plain Text
enterprises: 60% genai data augmentation adoption rate. Source: Gartner (2026). Via Lighthouse Intelligence -- https://lighthousedata.io/data/genai-data-augmentation-enterprises-2026
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<blockquote cite="https://lighthousedata.io/data/genai-data-augmentation-enterprises-2026" style="border-left:3px solid #2563eb;padding:12px 16px;margin:16px 0;font-family:system-ui,sans-serif;background:#f0f4ff;"><strong>60%</strong> -- genai data augmentation adoption rate for enterprises<br><small>Source: Gartner (2026) · <a href="https://lighthousedata.io/data/genai-data-augmentation-enterprises-2026" target="_blank" rel="noopener">Lighthouse Intelligence</a></small></blockquote>
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