List of Siemens Simcenter STAR-CCM+ Customers
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Since 2010, our global team of researchers has been studying Siemens Simcenter STAR-CCM+ customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Siemens Simcenter STAR-CCM+ for Computational Fluid Dynamics (CFD) from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Siemens Simcenter STAR-CCM+ for Computational Fluid Dynamics (CFD) include: Kawasaki Heavy Industries, a Japan based Automotive organisation with 40640 employees and revenues of $14.53 billion, ARISTON SPA, a Italy based Manufacturing organisation with 10830 employees and revenues of $3.10 billion, Modine Manufacturing Company, a United States based Manufacturing organisation with 11000 employees and revenues of $2.30 billion, Elica S.p.A, a Italy based Manufacturing organisation with 2600 employees and revenues of $517.0 million, Bottero, a Italy based Manufacturing organisation with 623 employees and revenues of $265.0 million and many others.
Contact us if you need a completed and verified list of companies using Siemens Simcenter STAR-CCM+, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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ARISTON SPA | Manufacturing | 10830 | $3.1B | Italy | Siemens Digital Industries Software | Siemens Simcenter STAR-CCM+ | Computational Fluid Dynamics (CFD) | 2018 | n/a |
In 2018, Ariston Group implemented Siemens Simcenter STAR-CCM+ to standardize Computational Fluid Dynamics (CFD) simulation within its product development pipeline. Siemens Simcenter STAR-CCM+ was adopted by the 3D simulation organization to support thermal and fluid dynamic analysis and result validation for appliance development.
Configuration focused on multiphysics CFD workflows, thermal and fluid dynamic analyses, automated mesh generation and batch parametric studies to support design exploration. The implementation supported coupled fluid and thermal simulations and structured workflows for finite element model handoffs, aligning CFD outputs with structural assessment and product optimization activities.
The STAR-CCM+ environment was integrated into existing toolchains referenced by the simulation team, including ANSYS Mechanical, Fluent, CFX and modeFRONTIER for co simulation and data exchange workflows. Operational coverage included R&D, design and production engineering teams, with simulation artifacts used to inform decision making across those functions and to feed into product release cycles.
Governance and process changes emphasized cross functional collaboration, project level resource and time management and an agile framework for delivering simulation results. The 3D Simulation Senior Engineer led over 10 simulation projects using Siemens Simcenter STAR-CCM+, outcomes included improved thermal efficiency and lower noise by at least 10 percent, average product lifespan improvements of 15 percent and a 20 percent reduction in production defects as reported by engineering project summaries.
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Bottero | Manufacturing | 623 | $265M | Italy | Siemens Digital Industries Software | Siemens Simcenter STAR-CCM+ | Computational Fluid Dynamics (CFD) | 2012 | n/a |
In 2012, Bottero implemented Siemens Simcenter STAR-CCM+. The deployment established a persistent Computational Fluid Dynamics (CFD) capability within Bottero, focused on glass forming, thermal processing, and sensor calibration engineering.
The implementation centered on multi-physics and CFD workflows, including thermo-fluid-dynamics calculations, heat transfer modeling, multiphysics coupling and parametric optimization. Siemens Simcenter STAR-CCM+ was used for end-to-end simulation of the entire forming cycle of glass containers, optical and thermal simulations to model focused IR radiation heating and cutting of glass sheets, and electromagnetic field simulation to calibrate position sensors. Typical engineering activities cited include meshing strategy, solver configuration, transient and steady state analyses, and iterative model refinement.
Operational coverage combined numerical simulation with laboratory validation, with in-house laboratory testing used to correlate and validate numerical models. The capability was applied across R&D, process engineering and prototyping functions at Bottero, including design work that informed patents planning and prototype development in Cuneo, Italia. Engineers and analysts used simulation outputs to inform device design and experimental test plans.
Governance and workflow changes included establishing a dedicated Multi-Physics and CFD Analyst role to own model development and validation since April 2012, and embedding repeatable simulation procedures into engineering workflows. The program emphasized laboratory correlation, model version control for simulation artifacts, and standardized simulation templates to support ongoing design and prototyping cycles.
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Elica S.p.A | Manufacturing | 2600 | $517M | Italy | Siemens Digital Industries Software | Siemens Simcenter STAR-CCM+ | Computational Fluid Dynamics (CFD) | 2025 | n/a |
In 2025, Elica implemented Siemens Simcenter STAR-CCM+. The deployment targets Computational Fluid Dynamics (CFD) use cases in product engineering, focusing on aerodynamic and internal flow behavior for kitchen hood components at Elica's Fabriano engineering site in Marche, Italia.
Siemens Simcenter STAR-CCM+ was configured to deliver core CFD workflows including advanced mesh generation, finite volume solvers, turbulence modeling, conjugate heat transfer and multiphysics coupling, with automation and parameterized studies to support iterative design exploration. Configuration emphasized simulation templates and scripting to standardize impeller and scroll housing analyses used in acoustic and flow performance development.
The implementation is operational within R&D and product development teams on-site at Fabriano, and is reflected in hiring activity where a Junior CFD Engineer role cites bench tests and CFD simulations for impeller and scroll housing development. Run management, case versioning and postprocessing were organized to align simulation outputs with physical bench test data for correlation and validation workflows.
Governance centered on embedding Siemens Simcenter STAR-CCM+ into existing product development lifecycle stages, with defined simulation handoffs, model validation checkpoints and documentation of simulation recipes to ensure reproducibility across engineering teams. Ongoing staffing and role level adoption indicate the tool is moving from pilot use toward sustained engineering practice.
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Intermarine | Manufacturing | 244 | $53M | Italy | Siemens Digital Industries Software | Siemens Simcenter STAR-CCM+ | Computational Fluid Dynamics (CFD) | 2013 | n/a |
In 2013, Intermarine evaluated hull resistance using Siemens Simcenter STAR-CCM+ during a seven month program from July 2013 to January 2014 based in Sarzana, Italy. The effort applied Computational Fluid Dynamics (CFD) to compute resistance for fast motorboats and an Italian Navy ship, with CFD outputs compared directly to towing tank test data and sea trials. Siemens Simcenter STAR-CCM+ and CFX were both exercised to produce a side by side performance comparison of software capabilities.
The implementation centered on creation of a parametric overset meshed model within Siemens Simcenter STAR-CCM+ to enable systematic variation and optimization of flap positioning. Standard CFD workflows were applied, including geometry preparation, overset meshing, solver setup and iterative run management, and engineering post processing to extract resistance and flow fields. The parametric model supported multiple configuration runs to evaluate sensitivity of hydrodynamic forces to control surface placement.
Operationally the project was executed by Intermarine engineering teams in Sarzana, integrating experimental datasets from towing tank tests and sea trials as validation inputs to the simulation process. Computational tasks were conducted as an engineering project using workstation level simulation resources and organized simulation runs, with outputs routed to naval architecture and performance engineering functions for interpretation. The relationship Intermarine Siemens Simcenter STAR-CCM+ Computational Fluid Dynamics (CFD) informed naval design and performance assessment workflows.
Governance followed an evaluation and validation workflow, with parallel comparisons of STAR-CCM+ and CFX results against physical test data to assess fidelity. The parametric overset approach was explicitly used to optimize flap positioning, and the comparative software analysis documented relative performance characteristics of the two CFD tools.
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Kawasaki Heavy Industries | Automotive | 40640 | $14.5B | Japan | Siemens Digital Industries Software | Siemens Simcenter STAR-CCM+ | Computational Fluid Dynamics (CFD) | 2014 | n/a |
In 2014 Kawasaki Heavy Industries deployed Siemens Simcenter STAR-CCM+ as a Computational Fluid Dynamics (CFD) application in Japan to accelerate motorcycle concept-to-model work. The implementation targeted motorcycle aerodynamics and design turnaround, providing simulation capabilities directly to engineering teams responsible for concept modelling and detailed design.
Siemens Simcenter STAR-CCM+ was configured to automate core CFD workflows, using surface wrapping for geometry preparation and Java macros to orchestrate repetitive setup and execution tasks. The environment leveraged standard CFD capabilities including meshing, solver execution, and post-processing to shorten iteration cycles and enforce consistent simulation setups.
The deployment streamlined handoffs between CAD and simulation by embedding surface wrapping into the geometry cleanup process and by reducing manual CAD rework prior to meshing. Operational coverage was concentrated on Kawasaki motorcycle programmes in Japan, with simulation used during early concept validation through detailed aerodynamic refinement.
Governance emphasized templated macros and automated run procedures to standardize setup and accelerate rollout across design teams, while workflow automation reduced user intervention in routine tasks. The project achieved explicit reductions in cycle times, lowering CFD time by 75 percent and CAD cleanup time by 85 percent as reported in the implementation.
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Manufacturing | 11000 | $2.3B | United States | Siemens Digital Industries Software | Siemens Simcenter STAR-CCM+ | Computational Fluid Dynamics (CFD) | 2020 | n/a |
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Construction and Real Estate | 240 | $60M | United States | Siemens Digital Industries Software | Siemens Simcenter STAR-CCM+ | Computational Fluid Dynamics (CFD) | 2021 | n/a |
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