Description
Clay roof tile market Germany: consumption in million m² and forecast to 2031
How is the clay roof tile market in Germany developing? The dataset provides the consumption of clay roof tiles in million m² of roof area for every quarter from Q1/2021 to Q4/2031 – as historical market data and forecast.
It covers fired clay tiles for pitched roofs, mainly plain (beaver-tail) tiles as well as interlocking tiles and pantiles. They are very durable, frost-resistant and non-combustible. Most are laid on pitched-roof homes, with smaller volumes on farm, public and church buildings. Concrete tiles, slate and metal roofs are separate datasets; flat roofs form a distinct market. As Germany is a net exporter, the dataset shows domestic consumption, not production.
Demand comes mainly from re-roofing existing buildings, with new build second. Re-roofing is a sizeable investment sensitive to interest rates and subsidies, so many projects were postponed in the downturn, while energy prices hit the kiln firing process. On pitched roofs, clay tiles hold a larger market share than concrete tiles. A large backlog of ageing roofs supports the recovery, while interest rates and uncertain subsidies slow it; pre-crisis levels are not regained by 2031. As roofing comes late, new-build volumes lag permits.
Which questions about the clay roof tile market does the dataset answer?
- How far did clay tile consumption fall in the downturn, and how quickly does it recover?
- How much roof area is re-roofing and how much is new pitched roofs?
- How is clay-tiled roof area split between residential and non-residential buildings?
- How does in-house sales and kiln planning compare with the expected consumption path to 2031?
Who is the dataset for?
Tile manufacturers use the series for capacity, kiln and sales planning. Roofing contractors, builders’ merchants and makers of ridge tiles and underlays gain a reliable volume basis; investors, banks and analysts can underpin models and valuations.
Data basis and methodology
The dataset shows the total market and the split by new build and renovation and by residential and non-residential. The model combines building completions, building permits and re-roofing activity with roof area per square metre of floor area by building type, the clay share of pitched roofs and the lag of roofing; foreign trade is netted out. The model was validated against industry association statistics, official statistics and internal data.
Delivered as CSV and Excel files, each in German and English, with 44 quarterly values. Related datasets: Concrete roof tiles, Slate (natural roofing), Roof underlay membrane and all data on roofs.
