List of MathWorks Simulink Customers
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Since 2010, our global team of researchers has been studying MathWorks Simulink 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 MathWorks Simulink for Process Simulation 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 MathWorks Simulink for Process Simulation include: Nissan, a Japan based Automotive organisation with 132790 employees and revenues of $82.63 billion, Magneti Marelli Europe, a Italy based Manufacturing organisation with 50000 employees and revenues of $14.10 billion, SENER Grupo de Ingenieria, a Spain based Construction and Real Estate organisation with 4000 employees and revenues of $1.20 billion, Arrival, a United Kingdom based Automotive organisation with 1900 employees and revenues of $860.0 million, Ingeteam, a Spain based Manufacturing organisation with 4108 employees and revenues of $627.0 million and many others.
Contact us if you need a completed and verified list of companies using MathWorks Simulink, 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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Arrival | Automotive | 1900 | $860M | United Kingdom | MathWorks | MathWorks Simulink | Process Simulation | 2018 | n/a |
In 2018, Arrival implemented MathWorks Simulink for Process Simulation to support the design and verification of battery management system BMS and charging control systems. The MathWorks Simulink deployment established model based engineering workflows within Arrival's Controls Engineering function, aligning simulation and code generation with system level requirements.
The implementation included configuration of control algorithm models, reusable model libraries for BMS and charging functions, and automation for iterative simulation runs. Standard Process Simulation capabilities were used to support model in the loop MIL testing, software in the loop SIL artifacts, and preparation of models for hardware in the loop HIL validation.
Integrations were implemented to feed simulation and validation data into performance analytics, specifically using CANalyzer for CAN bus capture and analysis alongside Simulink generated test traces. Operational scope covered control systems engineering and validation teams, with models exercised as part of feature delivery and development cycles.
Governance centered on model based test artifacts driving development and verification, with MIL and HIL test outputs incorporated into engineering sign off and defect triage workflows. MathWorks Simulink served as the central Process Simulation platform to structure control design, verification discipline, and test automation within Arrival’s engineering practice.
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Ingeteam | Manufacturing | 4108 | $627M | Spain | MathWorks | MathWorks Simulink | Process Simulation | 2022 | n/a |
In 2022, Ingeteam deployed MathWorks Simulink to support Process Simulation for PLC-based control development in its Marine Systems group. The effort targeted suction dredger control and consolidated sensor monitoring, actuation, and advanced control logic into a single model-based workflow.
Engineers modeled core functional modules in Simulink including Draught and Load Monitoring (DLM), Suction Tube Positioning Monitoring (STPM), and Automatic Draghead Winch Control (ADWC). They built a complete multi domain plant model with Simscape and Simscape Multibody, executed closed-loop desktop simulations, and used Simulink model-based code generation to produce C code for PLC deployment.
For hardware-in-the-loop testing the controller C code was deployed to a Bachmann M1 PLC while the Simscape plant model was converted to C and deployed to a Beckhoff CX2040 PLC, the two PLCs linked to exchange sensor readings and actuation commands in real time. The HIL setup included a 3D animation of the vessel to visualize dynamic behavior, and it was used to exercise fault scenarios and extreme conditions that would be difficult to test at sea.
The implementation established a digital twin used for virtual commissioning and iterative fixes, enabling the team to reproduce onboard issues, verify updates offline, and send validated controller updates to the vessel. The project delivered a prototype within four months with the controller keeping the dredge head within five centimeters of target depth, commissioning completed ahead of schedule, and the control system now in operation on three vessels, while the same MathWorks Simulink Process Simulation approach is being applied to a heavy lift crane vessel project.
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Magneti Marelli Europe | Manufacturing | 50000 | $14.1B | Italy | MathWorks | MathWorks Simulink | Process Simulation | 2018 | n/a |
In 2018, Magneti Marelli Europe implemented MathWorks Simulink for Process Simulation to support e-motor control, power electronics, and battery systems engineering. Magneti Marelli Europe MathWorks Simulink Process Simulation was applied directly within engineering teams responsible for electric and hybrid powertrain controls, centralizing model-based system design for motor drives and inverter control development.
The implementation focused on system requirements management and model-based algorithm development, including field oriented control FOC and sensorless variants, space vector modulation SVM and PWM for SiC IGBT and Mosfet inverters, DCDC control, and battery management system modeling. MathWorks Simulink was used for autocode generation and for implementing model-in-the-loop, software-in-the-loop, and processor-in-the-loop test stages, reflecting a development pipeline aligned with control algorithm optimization and verification.
Simulink models were integrated into Hardware-in-the-Loop testbeds and custom real-time simulator interfaces, with engineering workflows referencing Xilinx ISE for FPGA and real-time component design where required. Operational ownership rested with E-Motor Control System Engineers and HIL Simulator Engineers within the electric and hybrid powertrain organization, with explicit engineering activity based in Bologna Italy and cross-functional interactions between control, power electronics, and test hardware teams.
Governance emphasized formalized requirements handling and staged model testing workflows, moving engineering activity from model creation to autocode generation and HIL validation. The rollout codified MIL, SIL, and PIL testing as part of routine verification, embedding model-based development practices into control software delivery for e-motor and battery subsystem projects.
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Nissan | Automotive | 132790 | $82.6B | Japan | MathWorks | MathWorks Simulink | Process Simulation | 2022 | n/a |
In 2022, Nissan Motor Corporation deployed MathWorks Simulink to support Model Based Design for engine control software development. Nissan uses MathWorks Simulink in the Process Simulation category to develop and validate powertrain application software and to evaluate nearly 1500 software components across a growing set of engine variants.
Nissan engineers standardized on Simulink and Powertrain Blockset capabilities, using the spark ignition engine dynamometer reference application as the baseline plant model. They employed the Resize Engine and Recalibrate Controller feature to automatically resize engine models and adjust calibration parameters for variations such as cylinder count and displacement, and they extended models to include subsystems like exhaust gas recirculation and turbocharger behavior. Engineers assemble system models by combining the validated engine plant with a controller model, a transmission model, and a simple vehicle model to drive model-in-the-loop testing workflows.
To operationalize testing, Nissan developed an automated testing framework in MATLAB that sets test conditions, initiates simulations, and produces visualization artifacts for MIL verification of controller models. For hardware-in-the-loop validation, teams generate production-representative code from the engine model with Simulink Coder and deploy it to dSPACE hardware, executing the same test cases used in MIL to maintain consistency between simulation and real-time test regimes. Reusing the same plant model for both MIL and HIL was a deliberate design choice to eliminate duplicated modeling effort and to shorten test schedules.
The implementation was led by the powertrain control engineering department and applied across evaluations of production vehicle engine control software, with plans to extend the workflow to plant model development for upcoming model introductions under Nissan Intelligent Mobility. Nissan reports that using the Powertrain Blockset dynamic engine model as a common starting point enabled more efficient creation and refinement of plant model variants, reducing effort and accelerating development timelines.
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SENER Grupo de Ingenieria | Construction and Real Estate | 4000 | $1.2B | Spain | MathWorks | MathWorks Simulink | Process Simulation | 2017 | n/a |
In 2017, SENER Grupo de Ingenieria deployed MathWorks Simulink to support verification activities for the AOCS/GNC subsystem on the ESA EUCLID project. The engagement ran in Madrid from Dec 2017 to Jul 2018 and involved AOCS/GNC engineers executing Matlab and Simulink simulations to validate and verify client requirements for navigation and attitude control functions.
The implementation used MathWorks Simulink to realize Process Simulation workflows, including model based development of navigation and attitude control algorithms, construction of simulation test benches, and scenario driven verification runs. Operational scope centered on the AOCS/GNC engineering and verification teams, with governance focused on requirement traceability, scripted simulation execution, and collaborative review cycles to support subsystem verification for the EUCLID mission.
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Manufacturing | 1200 | $320M | Italy | MathWorks | MathWorks Simulink | Process Simulation | 2022 | n/a |
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Buyer Intent: Companies Evaluating MathWorks Simulink
- Fortescue Metals Group, a Australia based Oil, Gas and Chemicals organization with 11910 Employees
- Mack Defense, a United States based Automotive company with 25 Employees
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