China 2026: the changes beneath a steadier headline

Start with the expanded scope

The 2026 edition adds Hong Kong’s all-category auctions to the previous focus on Modern and Contemporary art. This broadens the view of its trading role but prevents one headline from describing every category.

Hong Kong’s 14.5% share belongs to the report’s selected-house, selected-centre comparison. It is not a share of all global galleries, private sales and auctions.

A modest annual decline can contain a rebound

Hong Kong all-category value fell 2.2%, while lots sold rose 4.4% to 22,247. Diverging value and volume suggest a changing mix, not that every work lost value or that collector numbers increased.

Second-half value was 34.8% above the first half and 13.5% above the same period a year earlier. The latter provides a seasonally closer comparison; auction scheduling also affects half-year totals.

Take with youRead value, volume and timing together.

Online growth and top-end contraction can coexist

Online lots sold increased 20.2%, while in-room volume fell 7.4%. These are channel and volume measures, not proof that participants are young or new collectors.

Frequent, lower-priced online transactions can coexist with concentrated high-value consignments in live sales. Digital engagement and headline weakness are therefore compatible.

Hong Kong and the Mainland are not one uniform market

Modern and Contemporary art remains under pressure from reduced high-value supply, while other categories, including traditional Asian works, support broader totals.

The report also identifies improvement at the Mainland’s upper end. Different houses, artists and price bands mean these markets cannot be treated as interchangeable. A few exceptional consignments may drive apparent recovery.

Take with youA trading centre’s resilience is distinct from a category’s strength.

Holding periods provide context, not guarantees

Short-holding-period resales remain weaker than longer-held groups in the evening-sale sample. This compares different works and acquisition eras, not randomly assigned holding strategies.

Private trades may occur between observed auctions, and some unsold outcomes are estimated from assumed reserves. Observed holding periods and annualised changes do not capture complete ownership histories or net proceeds.

Turn the outlook into questions to revisit

The share of experts expecting growth in Hong Kong and the Mainland rose to 48%, from 19% previously. This is improved sentiment, not a forecast of 48% sales growth.

Track supply at the top, continuity of online participation, and whether improvement reaches more artists and price bands. These questions make an optimistic outlook testable.

Take with youA useful forecast helps define what to watch next.

Resilience of a trading centre or of an art category?

Hong Kong hosts multiple collecting categories that can share infrastructure without sharing buyers or cycles. A centre’s resilience may come from activity shifting between categories.

Near-flat all-category totals can coexist with pressure on Modern and Contemporary art. Neither one category’s weakness nor a broad headline settles the question of the city’s changing role.

Trading prominence also differs from public cultural outcomes. Artist livelihoods, institutional research and audience access need their own evidence alongside commercial activity.

Read improvement through three coordinates

Use category, price band and channel as separate coordinates. Together they show whether improvement reflects broader participation or a narrow concentration.

Stable value with rising volume can result from cheaper works or changing category weights. Aggregate figures alone cannot establish that like-for-like prices fell.

The same framework makes the outlook testable: identify which segments actually strengthen and whether gains depend on one-off consignments. Expectations help define evidence to revisit rather than substitute for it.

Two datasets, two views of Hong Kong

See pp. 52–53. Different coverage and price bases prevent direct aggregation.

How can you use this research?

What changes when we read these together?