List of ANSYS EnSight Customers
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Since 2010, our global team of researchers has been studying ANSYS EnSight 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 ANSYS EnSight 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 ANSYS EnSight for Computational Fluid Dynamics (CFD) include: Groupe PSA, a France based Automotive organisation with 210000 employees and revenues of $80.02 billion, Imperial College London, a United Kingdom based Education organisation with 8000 employees and revenues of $1.53 billion, Indian Institute of Technology, Kharagpur, a India based Education organisation with 1700 employees and revenues of $170.0 million and many others.
Contact us if you need a completed and verified list of companies using ANSYS EnSight, 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 PLM and Engineering software purchases.
The ANSYS EnSight customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of PLM and Engineering software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Groupe PSA | Automotive | 210000 | $80.0B | France | Ansys Inc. | ANSYS EnSight | Computational Fluid Dynamics (CFD) | 2018 | n/a |
In 2018, Groupe PSA used ANSYS EnSight within a PSA Fluid, Thermal and Aeroacoustic Science Department STFA internship executed with CNAM GROUP to support numerical modeling in fluid mechanics and aerodynamics. The work was scoped to validation of unsteady flow modeling using a hybrid RANS and LES DDES SST approach on a simplified car geometry, positioned under the Fluid Product Engineering category.
Implementation workstreams covered geometry and mesh preparation, transient solver programming, and high fidelity post processing and visualization. ANSYS EnSight was used for post processing and visualization, including handling of time dependent fields, field extraction and time history analysis consistent with Fluid Product Engineering workflows, while simulation scripting and case orchestration supported unsteady CFD experiments.
The technical chain explicitly integrated ANSA for body creation and area mesh generation, FLUENT for volume mesh creation and solver programming, and MATLAB for numerical post processing and scripted analysis, with Windows based S2A tests used for platform verification. Data handoffs occurred through case and field exports enabling time resolved result transfer into ANSYS EnSight and MATLAB for downstream analysis.
Governance for the internship emphasized reproducible simulation sequences, scripted pre processing and post processing routines, structured analysis cycles, and formal documentation of results and hypotheses. The activity directly impacted the STFA department engineering workflows for aerodynamics and aeroacoustics modeling and produced validated simulation sequences and analytical artifacts to inform further engineering investigations.
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Imperial College London | Education | 8000 | $1.5B | United Kingdom | Ansys Inc. | ANSYS EnSight | Computational Fluid Dynamics (CFD) | 2018 | n/a |
In 2018 Imperial College London used ANSYS EnSight as part of a Fluid Product Engineering effort to support post-processing analysis of 4D phase contrast MRI PC-MRI data in a clinical research context. The project focused on image processing techniques and produced a tentatively established optimal method for processing dual encoding velocity PC-MRI data, a conclusion described as clinically relevant.
The implementation leveraged ANSYS EnSight for time-resolved visualization and quantitative post-processing of volumetric flow and velocity vector fields, combined with algorithm development in MATLAB and scene-level visualization in Paraview. Workstreams included data ingestion and conversion of 4D PC-MRI volumes, scripted batch processing for repeatable analyses, and interactive exploration of velocity fields to validate the dual encoding processing approach.
Operationally the work was scoped to a self-directed research group at Imperial College London, aligning research computing, image analysis, and clinical research workflows. Integrations were implemented between MATLAB, ANSYS EnSight, and Paraview to move preprocessed MRI data through algorithmic processing into advanced visualization and sampling, using export and scripting capabilities to maintain reproducible pipelines.
Governance for the engagement was researcher-led with iterative validation against clinical criteria, and the project concluded with documented processing methods and hands-on team experience. Team members gained practical expertise in MATLAB, ANSYS EnSight, and Paraview while delivering a clinically relevant processing recommendation for dual encoding velocity PC-MRI data.
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Indian Institute of Technology, Kharagpur | Education | 1700 | $170M | India | Ansys Inc. | ANSYS EnSight | Computational Fluid Dynamics (CFD) | 2017 | n/a |
In 2017 Indian Institute of Technology, Kharagpur implemented ANSYS EnSight in the Department of Cryogenic Engineering for Fluid Product Engineering to support a Winter Research Internship focused on flow visualization and analysis. IIT Kharagpur used ANSYS EnSight to connect computational results to visual post-processing workflows, supporting research and engineering analysis of cavitating venturi flows.
The implementation centered on ANSYS EnSight as a post-process visualization tool, ingesting CFD results produced with ANSYS and producing temporal animations, scalar and vector field rendering, and configured views for cavitation and venturi flow structures. The project combined theoretical model validation and practical visualization work, and the narrative explicitly notes a complete analysis based on ANSYS and EnSight software.
Operationally the work was scoped to the Department of Cryogenic Engineering as a winter internship research activity, executed on departmental workstations and organized into reproducible post-processing steps for intern deliverables and reporting. Governance emphasized research workflow integration, where simulation outputs from ANSYS were handed off to ANSYS EnSight for visualization, and final visual artifacts were used to document experimental comparisons and analytical findings.
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Buyer Intent: Companies Evaluating ANSYS EnSight
- Universidad Nacional del Litoral, a Argentina based Education organization with 1434 Employees
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