This second decade of the twenty-first century is witnessing an explosion of invention and innovation in digital engineering technologies unrivaled since the 1980s, when so many foundational tools and methods were either created or brought to practical fruition. Here are eight megatrends that we believe will drive generational leaps forward in engineering modeling and simulation technologies, methods and work processes through 2020 and well beyond:
Democratization of engineering modeling and simulation.
Simulation app revolution.
Design space exploration.
Topology, materials and process optimization for additive manufacturing.
Simulation for the Industrial IoT and Industry 4.0.
Big-data analytics in simulation.
Cloud HPC for simulation.
Already, each of these is today the focus of intense development by technology providers—and of investigation, investment and, in many cases, deployment by leading engineering organizations. Much of this work is succeeding in at last transforming long-established, powerful but formerly difficult-to-use, specialist-user-only tools into practical everyday engineering aids. And some of it—rather a lot, actually—is giving engineering organizations capabilities never before possible…
‘…For me, the most compelling tidbit was CEO Bernard Charlès’ declaration that DS is so over the whole Industrie 4.0 thing. He said that it is “yesterday’s way of thinking, that tomorrow is about ecosystems of makers inventing new things with the end-customer in mind: new services, new content, that industries will offer their clients.” That’s fascinating, because many of the industrial companies I deal with are still very much in the midst of Industrie 4.0. They’re trying to figure out what that means to them, and what/how to digitalize more of what they do and if they even should. …’
Our impression, from the above highly observant note by astute industry analyst Monica Schnitger, plus many months of our own pondering:
Has DS at last thrown in the towel on engineering, and cast its fate instead in the future of its new ‘scientific‘ brands?
Dassault’s technological decision to require that, to implement 3DEXPERIENCE and CATIA V6 solutions, client organizations must commit to ENOVIA certainly suggests so, in the face of strong new-adoption preferences among leading engineering organizations for rival data/process management platforms such as Teamcenter, Windchill, and now Aras.