Digital Construction


The European construction equipment industry is confidently looking towards the future and is ready to embrace the transition into the digital era, with a stronger-than-ever focus on technology leadership and customer needs. CECE and its members are leading the digital transformation of the construction industry. In a collaborative approach through the industrial value-chain, smart machines are creating connected jobsites, which will advance automation technologies to unthinkable level of unmanned construction machinery.

This process is long and needs to be followed through a strategic approach. This is ensured by the CECE High-Level Technical Policy Advisory Group, which monitors digitalisation as a key industry megatrend and merges this area with the key policy developments coming from the European Commission. Together with the adequate EU institutions representatives, the group identifies the steps for the co-creation of roadmaps towards the green, digital and resilient transitions of the EU construction industry.

In line with the collaborative spirit of the digital transformation, CECE by its involvement in relevant EU funded projects, contributes to identifying pathways towards digitalisation of the construction industry. CECE has been involved in the first ever EU-funded project to digitise the construction industry, DigiPLACE. The project was concluded in May 2021, delivering a Reference Architecture Framework and a Strategic Roadmap towards the development of digital platforms for construction in Europe. Moreover, CECE is involved in the InfraROB project, aiming at increasing performance and safety of the road infrastructure through autonomous robotized solutions.


Smarter Construction, Stronger Economy, Inclusive Society: The European Construction Industry Manifesto for Digitalisation
McKinsey Report 'Reengineering construction equipemnt: From operations focused to consumer centric'
Digitising the EU's construction industry
Digitilising the Construction Sector: Unlocking the potential of data with a value chain approach