Fine Art Pricing History Data for Market Research & Investment
Realized auction prices for fine art across every movement and period: paintings, prints, photographs, sculpture and drawings. 4,105,363 records across 496 auction houses, 1989 to 2026, every price normalized to USD. Real transactions, not asking prices.
2,278,439 realized sold lots · 496 auction houses · median $2,200
Image: Christie'sOne Fine Art dataset. Six ways to put it to work.
From a thirty-second valuation to a full API feed, every ALT/FNDATA product runs on the same Fine Art pricing data: 4,105,363 records, 496 houses, 2,278,439 realized sales.
See what the world's fine art actually sold for.
A live slice of the Fine Art dataset: top realized results. Every figure is a real transaction, not an estimate.
What the Fine Art market is made of.
Top artists and leading auction houses by lot volume, drawn live from the dataset.
Top artists by lots
Leading houses by lots
In every record
- artist
- medium
- dimensions
- year
- provenance
- realized price (USD)
- sale date
- auction house
Enterprise data access for financial firms
Connect directly to the Fine Art dataset via API, BigQuery or bulk download. Used by hedge funds, wealth managers, insurers and academic institutions.
- Full transaction-level data, 1989 to 2026
- Custom date ranges, filters and fields
- USD-normalized realized prices
- Dedicated onboarding support
Questions
Frequently asked questions
How many Fine Art records are in the dataset?
What time period does the Fine Art data cover?
Are the prices realized or asking prices?
How do I access the Fine Art data?
Start with the Fine Art data today.
Create a free account to explore fine art pricing in the app, or talk to us about API access and licensing for your team.
Source: ALT/FNDATA, 19.24M realized auction results across 37 collectible categories, normalized to USD. Featured lot images courtesy of the auction houses named. Methodology · All datasets · Brands · Market statistics