Would you like to have access to the complete UEIL Industry Statistics?

Purchase the licence!

Statistics Pricing Schedule – 2019
Blender Full Price Membership Discount – 50%
Printed Market Summary 200 100
Licensing Options All Categories All Categories
Full Price Membership Discount – 50%
All Categories 10 years 5 years 2 years 10 years 5 years 2 years
Central Europe 3000 2500 2000 1500 1250 1000
Northern Europe 3000 2500 2000 1500 1250 1000
Southern Europe/Med 3000 2500 2000 1500 1250 1000
All Regions 7200 6000 4800 3600 3000 2400
Licensing Options Industrial oils or automotive oils  Industrial oils or automotive oils
Central Europe 2250 1875 1500 1125 938 750
Northern Europe 2250 1875 1500 1125 938 750
Southern Europe/Med 2250 1875 1500 1125 938 750
All Regions 5400 4500 3600 2700 2250 1800

Contact secretariat@ueil.org to:

  • Have access to reliable sector’s statistics to provide data for decision makers in the industry,
  • Have access to accurate data for a wide range of countries across Europe,
  • Get a better understanding of industry trends, market dynamics and insight into end user behavior.


The UEIL Industry Statistics use an advanced estimation procedure developed in cooperation with the Fraunhofer Center for Economics of Materials CEM. Located in Halle (Saale), Germany, the CEM is a new research unit of the Fraunhofer Institute for Microstructure of Materials and Systems IMWS and the Martin Luther University Halle-Wittenberg. The CEM supports partners from industry and politics with a combination of materials science and economic competences. It provides expertise in the field of technology and regulatory impact assessment, the design and evaluation of structural change processes as well as global value chain analyses.

 The model employs an econometric panel data approach, applying explanatory factors for lubricant sales to explain observable market data. The model then is employed to quantify estimates for countries with limited or without market data. It builds primarily on internationally comparable data on factors influencing lubricant sales. These range from car ownership to value added in key manufacturing industries. The model has been verified against other data sources and expert feedback to ensure a high level of accuracy. Its geographical coverage will be increased constantly, aiming at a model encompassing the whole European Union as well as Turkey.

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