List of ANSYS Fluids Customers
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Since 2010, our global team of researchers has been studying ANSYS Fluids 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 Fluids 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 Fluids for Computational Fluid Dynamics (CFD) include: Seagate Technology, a Singapore based Manufacturing organisation with 30000 employees and revenues of $6.55 billion, Oracle Red Bull Racing, a United Kingdom based Leisure and Hospitality organisation with 840 employees and revenues of $302.0 million, Iit Bombay, a India based Education organisation with 2000 employees and revenues of $100.0 million and many others.
Contact us if you need a completed and verified list of companies using ANSYS Fluids, 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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Iit Bombay | Education | 2000 | $100M | India | Ansys Inc. | ANSYS Fluids | Computational Fluid Dynamics (CFD) | 2020 | n/a |
In 2020, Indian Institute of Technology Bombay deployed ANSYS Fluids to support the IIT Bombay Racing Formula Student electric car program. The Apps Category is .
The implementation centered on computational fluid dynamics workflows using Ansys Fluent CFD capabilities inside ANSYS Fluids to design and optimize radiator inclination, develop porous-media radiator models, and model accumulator cooling behavior. Configuration focused on aerodynamic and thermal simulation setups, meshing strategies appropriate for complex radiator geometries, and coupled heat transfer analysis to represent coolant and cell thermal interactions.
This effort operated within the IIT Bombay Racing academic engineering team and directly impacted vehicle thermal management and battery systems design workflows. The project informed iterative design cycles between simulation and physical testing, integrating simulation outputs into mechanical design decisions and packaging constraints for the Formula Student vehicle.
Results reported from the academic engineering use case include a 24% reduction in radiator size and weight and a 15% reduction in cell temperature, outcomes that contributed to the team’s success in the 2020 Formula Student competition. The work illustrates ANSYS Fluids applied to targeted thermal management engineering, embedding CFD-driven design decisions into student-led R&D processes.
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Oracle Red Bull Racing | Leisure and Hospitality | 840 | $302M | United Kingdom | Ansys Inc. | ANSYS Fluids | Computational Fluid Dynamics (CFD) | 2008 | n/a |
In 2008, Oracle Red Bull Racing implemented ANSYS Fluids in the Computational Fluid Dynamics (CFD) category as its core virtual wind tunnel and CFD platform. The deployment established ANSYS Fluids as the primary engineering simulation backbone for aerodynamic evaluation and thermal management studies within the team’s UK engineering organization.
The implementation centered on ANSYS Fluent CFD and Fluent Meshing capabilities, configured to support high-fidelity aerodynamic simulation, virtual wind tunnel testing, and cooling-circuit design for power-unit cooling. Simulation workflows emphasized geometry meshing, transient and steady-state fluid dynamics runs, and aero-thermal co-simulation to inform both bodywork and cooling hardware iterations.
Operational coverage was focused on the United Kingdom engineering and aerodynamics departments, where ANSYS Fluids was embedded into the design iteration loop to accelerate aerodynamic development cycles. The implementation was used to drive engineering decisions across aerodynamic configuration workstreams and cooling-system design streams, aligning simulation output with track test planning and component development schedules.
This engineering and aerodynamics deployment reflects a long-standing partnership with Ansys since 2008, and ANSYS Fluids played a stated role in speeding aerodynamic iteration, reducing on-track testing, and supporting competitive performance improvements. Governance emphasized simulation validation against track data and iterative simulation-driven design reviews to tighten the correlation between virtual wind tunnel results and on-car behavior.
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Seagate Technology | Manufacturing | 30000 | $6.6B | Singapore | Ansys Inc. | ANSYS Fluids | Computational Fluid Dynamics (CFD) | 2024 | n/a |
In 2024, Seagate Technology deployed ANSYS Fluids within its Mozaic platform R&D to accelerate internal hard-drive airflow, particle transport, windage drag and aeroacoustics simulations. The initial implementation concentrated on engineering and R&D teams in the United States and addressed Computational Fluid Dynamics workload needs for drive aero-performance and contamination modeling.
Seagate integrated Ansys Fluent CFD solver capabilities under the ANSYS Fluids application, leveraging GPU-accelerated compute to shorten solver runtimes. The implementation emphasized solver throughput for transient flow, particle transport and aeroacoustic analysis, together with high-fidelity meshing and post-processing workflows typical of Computational Fluid Dynamics environments.
The deployment paired ANSYS Fluids with NVIDIA DGX accelerated compute as part of Mozaic platform experiment orchestration, enabling GPU-optimized solver runs to be submitted and managed from existing simulation pipelines. Operational scope covered simulation job orchestration, model versioning and accelerated compute provisioning for Seagate engineering groups focused on drive R&D in the United States.
This engineering R&D use case delivered roughly a 50x reduction in runtimes, enabling more design iterations, reduced prototyping and shorter development cycles. The ANSYS Fluids implementation therefore centralized high-performance CFD capabilities within Seagate’s Mozaic R&D workflows and established a GPU-accelerated simulation pattern for ongoing aero and contamination analysis.
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