Beyond The Model: What’s Next For Engineering Design Simulation Software

Industrial firms are under growing pressure to deliver increasingly complex projects while balancing cost, safety, sustainability and operational performance. As facilities become larger, more interconnected and more technically demanding, traditional approaches based on manual calculations and disconnected engineering tools are becoming difficult to sustain. At the same time, engineering teams are accelerating digital transformation efforts and shifting towards model-driven design environments. Verdantix research shows that 41% of industrial firms are currently pursuing digital transformation initiatives across design, engineering and construction activities, while 46% plan to increase spending on process engineering and simulation software over the next 12 months (see Verdantix Global Corporate Survey 2026: Industrial Transformation Budgets, Priorities And Tech Preferences).

In the 2026 Smart Innovators: Engineering Design Simulation Software report, Verdantix benchmarked 33 vendors across six core simulation domains: process simulation and optimization; plant layout, digital twins and visualization; factory and plant flow simulation; electrical, control and power system; physics-based engineering simulation; and safety and risk management. The study evaluated how vendors are evolving to improve design accuracy, reduce project risk and support more integrated engineering workflows.

Innovation in engineering simulation is increasingly focused not on individual modelling capabilities, but on how simulation is applied across the engineering life cycle. Verdantix analysis reveals three key trends reshaping the market:

• Engineering data, domain expertise and simulation are converging.

  Simulation is evolving from a specialist modelling activity into a connected engineering workflow that captures both data and domain knowledge. Models are increasingly linked to engineering deliverables such as P&IDs, line lists and equipment datasheets, improving consistency across disciplines and reducing rework. Additionally, vendors such as AVEVA, Emerson (Aspen Technology) and Octave are embedding validated workflows, industry-specific libraries and engineering standards directly into their platforms, helping engineers configure and validate complex systems more efficiently.

• AI is accelerating physics-based simulation.

  One of the most notable areas of innovation is the application of AI to computationally intensive engineering simulation. Traditional CFD and finite element analysis workflows often require significant computing resources and specialist expertise, limiting the speed of design iteration. To overcome these constraints, vendors such as Ansys and SimScale are introducing AI-driven approaches including surrogate modelling, predictive simulation and automated workflow generation. These capabilities allow engineers to evaluate design alternatives faster while reducing the effort required to set up and execute complex simulations.

• Simulation is evolving into a lifecycle capability.
  Simulation is no longer a one-time design activity. Vendors are embedding simulation models within digital twin environments that persist from engineering through commissioning and into operations. Platforms from Bentley Systems, Dassault Systèmes and Siemens connect engineering models with operational data, enabling applications such as virtual commissioning, performance monitoring and scenario-based optimization throughout the asset life cycle.

Collectively, these developments point to a broader shift in the market. The most innovative vendors are combining engineering data, embedded expertise, AI-driven automation and digital twins to create more connected engineering workflows. Increasingly, they are also building platform ecosystems and partnerships that bridge gaps across process, electrical, production and safety disciplines. For buyers, the future of engineering design simulation will be defined not only by the quality of individual models, but by how effectively those models connect across the wider engineering life cycle.

To learn more about the capabilities of the 33 vendors featured in our benchmark, read Verdantix Smart Innovators: Engineering Design Simulation Software.