Data valuation
How business data is valued for AI.
Quick answer
Data valuation for AI estimates what a dataset is worth to buyers who will use it to train or evaluate models. Value depends on task relevance, scarcity, quality, volume, recency, rights and exclusivity, minus the cost of preparation and privacy work. There is no public price index; actual value is established through buyer demand and negotiation.
- 01Your work records
- 02Personal details removed
- 03You approve the release
- 04Licensed to AI developers
Approaches#
- Market approach: comparison to similar deals (limited because few are public)
- Income approach: expected licensing revenue over time
- Cost approach: cost to recreate the data
- Utility approach: measured improvement to a model
Deal structures that affect value#
- One-time vs recurring delivery
- Exclusive vs non-exclusive
- Per-record, flat fee or revenue-linked
Limits#
Online estimates, including SourceX's estimator, are illustrative ranges, not offers.
Related#
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