Austria: number of small and medium-sized enterprises 2014-2029

The number of small and medium-sized enterprises in Austria was forecast to continuously decrease between 2024 and 2029 by in total 0.8 thousand enterprises. After the ninth consecutive decreasing year, the number is estimated to reach 23.27 thousand enterprises and therefore a new minimum in 2029.
According to the OECD an enterprise is defined as the smallest combination of legal units, which is an organisational unit producing services or goods, that benefits from a degree of autonomy with regards to the allocation of resources and decision making. Shown here are small and medium-sized enterprises, which are defined as companies with 1-249 employees.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in more than 150 countries and regions worldwide. All input data are sourced from international institutions, national statistical offices, and trade associations. All data has been are processed to generate comparable datasets (see supplementary notes under details for more information).

Find more key insights for the number of small and medium-sized enterprises in countries like Germany and Switzerland.

Number of small and medium-sized enterprises in Austria from 2014 to 2029

Characteristic	Number of enterprises in thousands
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Special properties

all values are estimates

Supplementary notes

The shown forecasts represent a blend of multiple input datasets from both internal (primary) and external (secondary) sources. Whereas primary data are generated via Statista's own surveys like the Global Consumer Survey, secondary input datasets are mostly sourced from international institutions (such as the IMF, the World Bank or the United Nations), national statistical offices, trade associations and from the trade press. These datasets are often incomplete as there are gaps between survey years or no or no reliable information might be available for a specific indicator in a specific country or region. Data for missing years are interpolated by various statistical means, such as linear or exponential interpolation or cubic splines. Data for missing countries or regions are imputed by considering known information from other countries or regions that are found to be similar by cluster analyses like k-means or similar procedures.
Most indicators are composites of multiple input sources with slightly varying methodologies that have been processed by our analysts to be aligned and consistent with each other and with all other indicators in the KMI database. As new data becomes available or methodologies are adapted to suit changing requirements it can be possible that data is not comparable any longer with previously published data or is changed retroactively according to the new definitions.
Because of the high degree of processing no specific external source can be named for each data point and all data for historical years (usually until the last finished year before the current one) have to be considered Statista estimates. Future years are mostly Statista projections These projections or forecasts are conducted by regression analyses, exponential trend smoothing (ETS) or similar techniques and extrapolate the found historical trend.
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