Art Market Statistics

3 interactive art market charts — free to explore, filter, download & embed

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ANYSTAT's art market collection runs to 3 datasets, including Most Expensive Photographs Ever Sold, Most Expensive Sculptures Ever Sold at Auction and Most Expensive Paintings Sold at Public Auction. Each one is sourced, explorable year by year, and switchable between bar, line, area, map and table views — free to download as an image or CSV, or embed on your own site.

Curated All Time
Le Violo The Flat Rhein II Noire et Spiritua Untitled
12.4
Le Violon d'Ingres - Man Ray (2022...
Most Expensive Photographs Ever Sold

Le Violon d'Ingres ($12.4M) and Edward Steichen's The Flatiron ($11.8M) - both sold in 2022 - stand alone at the top, mo...

View Chart 1 month ago
Curated All Time
L'Homme Danaïde L'Homme Chariot Rabbit - La jeune
141.3
L'Homme au doigt - Giacometti (201...
Most Expensive Sculptures Ever Sold at Auction

Giacometti's L'Homme au doigt ($141.3M) leads clearly, over $30M ahead of the next work, and his figures fill three of t...

View Chart 1 month ago
Curated All Time
Salvator Portrait Shot Sag Les Femm Nu couch Les Pose
450.3
Salvator Mundi - Leonardo da Vinci...
Most Expensive Paintings Sold at Public Auction

Salvator Mundi is in a league of its own at $450.3M - nearly double the second-place Klimt Portrait of Elisabeth Lederer...

View Chart 1 month ago

About Art Market statistics on ANYSTAT

This page collects 3 interactive art market datasets in one place — useful for research, articles, presentations, and quick fact-checks. Instead of static images, each chart is fully interactive: hover any data point to read the exact value, switch chart types with a single click, and compare categories or years side by side.

Every art market chart includes an AI-generated summary, the key findings, category rankings, and a link to the original data source where available. All of it is free, with no account required. New art market statistics are added regularly — bookmark this page or explore other topics to keep discovering data.

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