New technologies allow engineering and construction sector to solve efficiency problems at each stage of a project, thanks to unprecedented collaboration.
What if the next megaprojet was delivered in advance and cost less than expected? In 2025, industrial software brought us closer and closer to this scenario formerly perceived as improbable, despite a context of increasing economic uncertainty for the engineering, supply and construction sector (EPC).
The sector is based on teamwork
Silo work, communication errors and lack of efficiency often slow down the progress of projects. Declooming emerges as a solution industrial software such as unified data management systems, digital twins and artificial intelligence (AI), including generative AI, act as real decompartmental factors. Hosted in the cloud, these technologies allow fluid cooperation between teams that share engineering data and technical solutions as we do today with an online document or spreadsheet and thus promote innovation.
Centralized decision -making for project teams
This type of information management of information guarantees the consistency of data from a project from start to finish. Each phase of an industrial project, from design to the dismantling of the asset at the end of life, is connected by a continuous digital thread. The projects remain on the right track, even in complex and multi-site environments. Result: fewer errors and bottlenecks, less necessary corrections and therefore more speed in solving problems.
The International Aibel Service Company was based on a unified platform to bring together 850 engineers located in Europe and Asia around an energy project. Despite the creation of 55,000 technical drawings, this collaboration made it possible to deliver a drilling platform of 22,500 tonnes on time and for a lower budget than expected, while reducing the time spent by engineering studies by 20 %.
Digital twins – advantages even after delivery of the project
Thanks to an integrated engineering workflow, construction companies can create a digital twin of their projects covering the design, engineering and transmission stages to the customer. By bringing together engineering and operating data enriched with analytical models and AI, digital twins offer in -depth industrial intelligence on the value and sustainability of assets, and allow their future performance to be provided.
In the Middle East and Asia, the Smart Engineering initiative of Veolia reduced the design time up to 80 % and the total duration of carrying out engineering studies linked to tenders has passed from several weeks to only 24 hours. How ? Behind this feat hides a digital twin solution based on the cloud. By automating the generation of engineering documents and allowing real -time collaboration, Veolia improves the accuracy of conceptions, reduces errors as well as time dedicated to correcting them and optimizing operational efficiency.
A automation and generative design potential tenfold thanks to AI
The AI has already produced impressive results in engineering, in particular thanks to the analysis of automatic learning which shorten deadlines and reduce costs. Toyo Engineering Corporation (Toyo) uses for example a 7 -dimensional engineering platform which incorporates many data layers to offer richer analyzes in planning, execution and maintenance of projects. Thanks to this infused AI platform, working time was reduced by 26 % on all the projects of the Japanese company. By the end of 2025, Toyo hoped to multiply its productivity by six thanks to integrated engineering and design processes.
Over the months, the industrial sector will adopt more and more AI, including generative AI and other emerging technologies. In doing so, repetitive tasks and design work will be automated, reducing the complexity of decision -making and accelerating the delivery of projects. For example, with the new generative design solutions by AI, it becomes possible to generate an optimized arrangement of the pipes of a factory in a few moments, taking into account parameters such as maximum speed, space constraints and minimization of the use of resources.
In addition, AI is the basis of a new user experience in the field of industrial software, where engineers can quickly exploit a wide range of solutions. Even newcomers will be able to interact with industrial AI assistants to instantly obtain specific information according to their needs.
By combining collaborative technologies, nearshoring strategies, hybrid numbers and ecosystems of enlarged partners, the engineering and construction sector will make its delivery objective within the time and below the planned budget. These solutions will also strengthen the resilience and sustainable growth of actors in a constantly evolving environment.
