And how cloud-native tools like Quanscient Allsolve are ready to meet their needs
In early 2025, we set out to get an honest, broad, and unfiltered view into the daily realities of engineers working with multiphysics simulations. The idea wasn’t to validate our own assumptions, but to let the data speak for itself.
We surveyed 250 engineers and decision-makers across industries—from semiconductors and aerospace to energy and medical devices. Many were familiar with Quanscient, many weren’t. That was intentional: we wanted insights that weren’t biased by our brand or technology.
What we got back was eye-opening.
The four simulation headaches that engineers face today
Across industry and company size, four key challenges kept surfacing again and again:
1. Long wait times for resources and simulation completion
A staggering 84.8% of respondents said they regularly have to wait for resources like licenses or hardware to become available before running essential simulations. Nearly half reported delays longer than 4 hours—sometimes even days.
“Reduce the simulation time to almost zero.”
– Survey respondent when asked about the number one thing they would change if they had a magic wand
2. Model simplification that hurts accuracy
Engineers are routinely forced to simplify their models to get simulations to run. In fact, 89.2% of respondents said they simplify models either "often" or "sometimes" due to time or hardware limitations.
And it shows in satisfaction: less than half are happy with the speed of their current simulation tools, and dissatisfaction with accuracy was a recurring theme.
“Results without having to wait a long time or sacrificing accuracy.”
3. Complex and time-consuming meshing
Meshing stood out not just in the data, but in the open responses. Engineers are frustrated by how much time is lost on preparing complex geometries, cleaning up CAD files, and dealing with mesh errors.
“Instant wonderful meshes from an ugly CAD file.”
4. Limited scalability for design exploration
Finally, engineers are struggling to explore wide parameter spaces. 64.8% said they weren’t satisfied with how well their current tools scale. This directly impacts the pace of innovation, optimization, and iteration.
“Make large parameter sweeps run in parallel to speed them up.”
Cloud computing is the sleeping giant
When we asked which technologies would drive the biggest changes in the next five years, cloud computing came last—with just 6.8% of the vote. Yet almost all of the problems engineers raised—resource bottlenecks, slow runtimes, rigid infrastructure—are exactly the problems the cloud is built to solve.
In fact, users of cloud-native simulation tools reported the highest satisfaction with simulation speed and scalability in our study.
How Quanscient Allsolve responds to these challenges
Here’s where we’ll get a bit more personal.
Allsolve was built from the ground up as a cloud-native multiphysics simulation platform. We didn’t start with legacy code—we started with the reality engineers are living in right now:
- You need to run simulations faster.
- You want to stop compromising on model fidelity.
- You want to explore more design options, not fewer.
- And you’re tired of fighting with software limitations just to do your actual job.
That’s why Allsolve offers:
- 100x faster runtimes through cloud-scale computing
- No license limits or hardware bottlenecks—run as much as you want, when you want
- High accuracy, full-physics simulations—no forced model simplification
- Automated meshing workflows designed to handle complex geometries with ease
- An API-first, automation-ready platform built for real engineering workflows
Put simply, Allsolve is here to remove the friction and let engineers get back to engineering.
Download the full report — and let’s talk
The full report dives much deeper into the data, with industry-by-industry breakdowns, workflow insights, and technology forecasts.
And if you’re curious to see how Allsolve might fit into your simulation workflow—especially if any of the pain points above sound familiar—get in touch. We’d love to show you what a cloud-native approach really feels like.
