Studies 2022

Pricing Models for Industrial Data

Study Results /

Factory building in front of dark digital background
© Maksim Kabakou/

Motivation und Herausforderung

  • Although enormous amounts of data are generated in industrial value creation systems, there is currently little knowledge about the monetary equivalent value.
  • This knowledge gap is a major barrier to competitive pricing.


  • Development of pricing models and strategies for pricing industrial data
  • Derive and define appropriate KPIs to assess benefits and potentials for industry data pricing.


  • Determination of a pricing approach: Identification and description of possible approaches
  • Analysis of possible value contributions: Alignment of pricing approaches with the types of value contribution of the roles involved.
  • Derivation of KPIs: Identification and characterization of suitable KPIs for pricing approaches.