Dassault Systèmes

Every aircraft on earth was designed with French software

By VastBlue Editorial · 2026-03-26 · 18 min read

Series: Made in Europe · Episode 3

The Software Before the Machine

Before a single rivet is driven into an aircraft fuselage, before the first titanium bracket is milled, before a wind tunnel test is scheduled or a certification document is filed, something else happens. An engineer sits down at a workstation and opens a piece of software. That software will define the geometry of every component, simulate the aerodynamic forces on every surface, calculate the stress distribution in every structural member, and model the thermal behaviour of the engine nacelle at 40,000 feet. It will coordinate the work of thousands of engineers across dozens of countries, manage millions of individual parts, and ensure that when the first physical prototype is finally assembled, it works. Not approximately. Not hopefully. It works, because the software already proved that it would.

That software is CATIA. And the company that built it is Dassault Systèmes, headquartered in Vélizy-Villacoublay, a quiet commune on the southwestern edge of Paris, sandwiched between the runways of a military airbase and the suburban sprawl of the Île-de-France. It is not a company that most people have heard of. It does not make phones. It does not run a social network. It does not appear on the screens of consumers. But it appears on the screens of virtually every engineer who designs the complex products that the modern world depends on — aircraft, automobiles, ships, medical devices, industrial machinery, consumer electronics, and the factories that produce them.

The scale of this dependency is difficult to overstate. Every commercial aircraft flying today — every Boeing 787, every Airbus A350, every Embraer E-Jet, every Bombardier business jet — was designed in CATIA. Not some of them. All of them. Every major automotive manufacturer uses Dassault Systèmes software in some form. The company's simulation tools model the crash behaviour of cars before they are built, the airflow over Formula 1 bodywork before it reaches the track, the fluid dynamics inside a human heart before a surgeon makes an incision. Its product lifecycle management platform coordinates the work of engineering teams across entire industries.

From Fighter Jets to Digital Models

The story begins, as many consequential European technology stories do, with military aviation. In the 1970s, Avions Marcel Dassault — the French aircraft manufacturer founded by Marcel Dassault, born Marcel Bloch, who had been building aircraft since the First World War — faced a problem common to every aerospace company of that era. Designing complex three-dimensional shapes using two-dimensional drawings was slow, error-prone, and fundamentally inadequate for the swept-wing, high-performance fighter jets that the French Air Force demanded.

The Mirage series had established Dassault Aviation as one of the world's leading combat aircraft manufacturers. But each successive generation of aircraft was more complex than the last, with compound curves, variable-geometry surfaces, and internal systems that defied clean representation on paper. Engineers spent enormous amounts of time translating between the three-dimensional reality of an aircraft and the two-dimensional abstractions of their drawings. Errors in translation caused manufacturing defects. Manufacturing defects caused delays. Delays cost money and, in military aviation, sometimes lives.

In 1977, a team of engineers within Dassault Aviation began developing a solution. Rather than adapting existing mainframe CAD systems — most of which had been designed for simple geometric shapes and electrical circuit layouts — they set out to build something fundamentally new: a three-dimensional, interactive computer-aided design system capable of representing the complex curved surfaces of an aircraft with mathematical precision. The system needed to handle not just geometry but topology — the relationships between surfaces, edges, and volumes that define how a physical object actually fits together.

They called it CATIA: Computer-Aided Three-dimensional Interactive Application. The name was functional, almost bureaucratic. The software was revolutionary. CATIA was among the first CAD systems to use the mathematics of NURBS — Non-Uniform Rational B-Splines — to represent complex freeform surfaces with the precision required for aerospace tolerances. A wing leading edge, a turbine blade, a cockpit canopy — shapes that had previously required physical mock-ups and hand-sculpted master models could now be defined, manipulated, and analysed entirely within the computer.

The impact on Dassault Aviation's own programmes was immediate. The Mirage 2000 benefited from early CATIA development, and each subsequent programme — the Rafale, the Falcon business jets — was designed more extensively in the software. But the engineers who built CATIA quickly recognised that what they had created was far more valuable than an internal tool for one aircraft manufacturer. In 1981, a partnership with IBM gave CATIA access to the global market. IBM, which dominated enterprise computing at the time, became CATIA's exclusive distributor, selling it to aerospace companies, automotive manufacturers, and industrial firms worldwide.

In 1981, Dassault Aviation spun off its software division as an independent company: Dassault Systèmes. The decision was unusual. Most aerospace companies viewed their CAD tools as proprietary advantages, competitive secrets to be guarded rather than commercialised. Dassault took the opposite view. The software would be more powerful — and more profitable — if it served the entire industry rather than one manufacturer. It was a bet on platform economics before the term existed, made by a French defence contractor two decades before Silicon Valley would codify the concept.

The Boeing Decision That Changed Everything

The moment that transformed Dassault Systèmes from a successful CAD vendor into the indispensable infrastructure of modern engineering came in the early 1990s, when Boeing made a decision that the aerospace industry still talks about. Boeing chose CATIA as the primary design tool for the 777 — and committed to designing the aircraft entirely in three dimensions, with no physical mock-up.

This was, in 1990, an act of extraordinary audacity. Every previous Boeing commercial aircraft — the 707, the 727, the 737, the 747, the 757, the 767 — had been designed using a combination of two-dimensional drawings and full-scale physical mock-ups. The mock-up was where fit-check happened: where engineers physically verified that the hydraulic lines cleared the structural members, that the wiring harnesses routed through their designated channels, that the environmental control ducts did not interfere with the cargo bay. A full-scale mock-up of a widebody aircraft occupied an entire building and took years to construct. It was expensive, slow, and inflexible — but it caught errors that drawings could not.

Boeing's decision to eliminate the mock-up and trust the digital model was not just a change in tools. It was a change in epistemology — in what it meant to know that an aircraft design was correct. Previously, correctness was verified by physical inspection: you looked at the mock-up, you measured clearances with callipers, you reached into tight spaces with your hand to check that cables had room to flex. Now, correctness would be verified by computational analysis: the software would detect interferences, calculate clearances, and flag conflicts automatically. If the digital model said the design was correct, Boeing would commit billions of dollars and the safety of future passengers to that assertion.

It worked. The 777 programme used approximately 2,200 CATIA workstations, operated by 238 design/build teams. Engineers in Everett, Washington designed components alongside colleagues in Wichita, Kansas; Nagoya, Japan; and numerous other locations, all working within the same digital model. The result was an aircraft with fewer engineering changes during manufacturing, faster assembly times, and better dimensional accuracy than any previous Boeing programme. The 777 entered service with United Airlines in June 1995 and went on to become one of the most successful widebody aircraft in aviation history.

The Boeing 777 was not just the first aircraft designed entirely in 3D. It was the proof that a digital model could replace physical reality as the authoritative definition of a complex machine — and that the software to do it was built in France.

Boeing 777 programme retrospective

The 777 programme did for CATIA what the Macintosh did for desktop publishing: it proved the concept at a scale and stakes that made the entire industry pay attention. After Boeing, the question was no longer whether aerospace companies would adopt 3D digital design. The question was how quickly. Airbus followed. Lockheed Martin followed. Northrop Grumman, Embraer, Bombardier, Saab — every significant aerospace manufacturer in the world migrated to CATIA. Not because Dassault Systèmes had the best salespeople, but because the 777 had proven that the approach worked at the highest level of complexity and consequence.

The Platform Beneath the Platform

What Dassault Systèmes built after CATIA's aerospace triumph is as important as the triumph itself. The company did not rest on its position as the dominant CAD vendor. Instead, it systematically expanded into every adjacent domain that mattered for the design and manufacture of complex products — and then integrated those domains into a unified platform.

The expansion began with acquisitions. In 1997, Dassault Systèmes acquired SolidWorks, a Massachusetts-based company that had built a mid-range 3D CAD system running on Windows. Where CATIA served the largest and most demanding engineering organisations — aerospace, automotive, shipbuilding — SolidWorks served the broad middle market: machine shops, consumer product designers, small engineering firms, and the millions of mechanical engineers who needed professional 3D modelling without the complexity and cost of CATIA. The acquisition gave Dassault Systèmes a portfolio that spanned the entire spectrum of engineering design, from a one-person workshop to a multi-billion-dollar aircraft programme.

Then came simulation. In 2005, Dassault Systèmes acquired Abaqus, the finite element analysis software widely regarded as the gold standard for nonlinear structural simulation. Abaqus could model the crash behaviour of an automobile, the fatigue life of a turbine blade, the buckling of a composite panel under aerodynamic load — problems that required both mathematical sophistication and engineering judgment. The acquisition formed the nucleus of SIMULIA, Dassault Systèmes' simulation brand. SIMULIA would grow to encompass not just structural analysis but computational fluid dynamics, electromagnetics, multibody dynamics, and multiphysics simulation — the ability to model how different physical phenomena interact in a single system.

Product lifecycle management came through ENOVIA, originally developed in-house. Manufacturing simulation through DELMIA. Scientific informatics through BIOVIA, acquired in 2014 from Accelrys. Clinical trials data management through Medidata Solutions, acquired in 2019 for $5.8 billion — Dassault Systèmes' largest acquisition, which extended its reach from engineering into the life sciences. Each acquisition was strategic, each integration deliberate. The goal was not a software conglomerate but a platform: a single digital environment in which a product could be conceived, designed, simulated, validated, manufactured, and maintained without ever leaving the Dassault Systèmes ecosystem.

That platform is called the 3DEXPERIENCE platform, and it represents Dassault Systèmes' most ambitious bet. Launched in 2012 under CEO Bernard Charlès, who led the company for more than two decades, the 3DEXPERIENCE platform is an attempt to unify every aspect of product development — and, increasingly, business operations — into a single cloud-connected environment. Engineers in Tokyo design a component in CATIA, simulate its structural behaviour in SIMULIA, validate its manufacturability in DELMIA, manage its documentation in ENOVIA, and visualise the complete product in 3DEXPERIENCE — all within one integrated system, sharing one data model, governed by one set of access controls.

The Invisible Monopoly

Dassault Systèmes does not have the cultural visibility of a Google or an Apple. It does not advertise on television. Its name does not appear on the products it helps create. When you board a Boeing 787 Dreamliner, nothing tells you that every one of its 2.3 million parts was modelled in CATIA, that the carbon fibre composite layup was simulated in SIMULIA, that the factory workflow was planned in DELMIA. When you drive a car designed by BMW, Toyota, or Tesla, nothing indicates that its body panels were surfaced in CATIA, its crash performance validated in Abaqus, its assembly sequence optimised in DELMIA before a single production vehicle rolled off the line.

This invisibility is not accidental — it is structural. Dassault Systèmes sells to enterprises, not consumers. Its customers are the engineering departments of the world's largest manufacturers. Its products are so deeply embedded in their customers' workflows that switching would require retraining tens of thousands of engineers, converting millions of legacy design files, and re-qualifying critical processes with regulatory authorities. In aerospace, where design data must be maintained for the entire service life of an aircraft — potentially fifty years or more — the cost of switching CAD systems is not merely high; it is, for practical purposes, prohibitive.

The company's financial performance reflects this structural entrenchment. In 2024, Dassault Systèmes reported revenues of approximately €6.2 billion, with recurring software revenue — subscriptions and maintenance — accounting for roughly 80 per cent of the total. The company employs more than 23,000 people across 140 countries. Its operating margins consistently exceed 30 per cent, a figure that reflects both the high value its customers place on the software and the near-impossibility of displacing it once adopted.

The competitive landscape reinforces the point. Siemens Digital Industries Software — formerly UGS, which produces NX and Teamcenter — is the only credible alternative at the top end of the market. PTC, with its Creo platform, competes in specific segments. Autodesk dominates architecture, construction, and media. But in aerospace — the most demanding, most regulated, and most consequential domain of mechanical engineering — CATIA's position is essentially unassailable. The software is not just a tool; it is the medium in which the knowledge of how to build aircraft is expressed, stored, and transmitted between generations of engineers.

The Digital Twin and the Virtual World

Dassault Systèmes has always understood something that many technology companies struggle with: the value of software is not in the software itself but in the virtual representation of the physical world that the software creates. A CATIA model of a jet engine is not just a collection of geometric surfaces. It is a digital twin — a mathematically precise representation that encodes not just shape but material properties, manufacturing tolerances, assembly relationships, and performance characteristics. The model knows what the engine is made of, how its parts fit together, how it behaves under load, how it degrades over time.

This concept of the digital twin — a term that has become fashionable in recent years but whose practical foundations Dassault Systèmes laid decades ago — is transforming how industries operate. In aerospace, digital twins of aircraft engines are updated with real-time sensor data during flight, allowing predictive maintenance that detects problems before they cause failures. In automotive, digital twins of vehicles are crash-tested thousands of times in simulation before a single physical prototype is built, reducing development costs by hundreds of millions of dollars. In life sciences, through the Medidata acquisition, Dassault Systèmes is building digital twins of clinical trials — virtual models of patient populations that can predict drug efficacy and side effects before trials are conducted.

The ambition goes further. Under the leadership of Pascal Daloz, who became CEO in January 2024 following Bernard Charlès' transition to executive chairman, Dassault Systèmes has articulated a vision of "virtual twin experiences" — complete digital replicas not just of individual products but of entire systems. A virtual twin of a city that models traffic flow, energy consumption, and emergency response. A virtual twin of a human body that personalises medical treatment. A virtual twin of a factory that optimises production in real time. The 3DEXPERIENCE platform is the infrastructure on which these virtual twins are built, and Dassault Systèmes is betting the company on the proposition that the virtual world will increasingly govern the physical one.

The most important aircraft in the world is one that has never been built. It exists entirely inside a computer, modelled in French software, and it has already been tested more rigorously than any physical prototype in history.

Industry observation on virtual certification

Built in Vélizy

Vélizy-Villacoublay sits in the Yvelines département, about fifteen kilometres southwest of central Paris. The town is bisected by the Vélizy-Villacoublay Air Base, one of the oldest military airfields in France, where Louis Blériot — the first person to fly across the English Channel — conducted flight tests in 1909. The proximity to aviation is not coincidental. Dassault Aviation's headquarters are in Saint-Cloud, a few kilometres north. The Dassault family — Marcel's son Serge, and now his grandson Olivier — remain the controlling shareholders of both Dassault Aviation and Dassault Systèmes through the Groupe Industriel Marcel Dassault holding company. The software company and the aircraft company share a bloodline, a geography, and a conviction that engineering excellence is the only competitive advantage that endures.

The Dassault Systèmes campus in Vélizy is an exercise in French corporate understatement. Low-rise buildings set among landscaped grounds, with little exterior signage that would suggest the strategic significance of what happens inside. The company's other major development centres are in Aachen, Germany; Waltham, Massachusetts; Bangalore, India; and Shanghai, China — but Vélizy remains the intellectual heart of the enterprise. The core CATIA development team still works here, along with the architects of the 3DEXPERIENCE platform and the researchers exploring generative design, artificial intelligence, and quantum computing applications for engineering simulation.

There is a pattern in European technology that is easy to overlook because it does not conform to the Silicon Valley narrative. The pattern is this: some of the most consequential software companies in the world were built not by venture-backed startups in garage mythology but by European industrial companies solving real engineering problems with mathematical rigour and long-term institutional commitment. SAP emerged from IBM Germany. ARM grew out of Acorn Computers in Cambridge. And CATIA was born inside a French aircraft manufacturer, built by engineers who needed to design fighter jets and had the intellectual ambition to create a tool that would eventually design everything else.

Dassault Systèmes' journey from an internal software project at an aircraft company to a €60-billion-market-capitalisation platform company is not just a corporate success story. It is a demonstration of what happens when deep domain expertise meets software engineering at the highest level. The company did not build a generic tool and search for applications. It built a specific solution to the hardest problem in engineering — representing the real world with mathematical precision inside a computer — and then expanded that solution until it encompassed the entire product lifecycle, across every industry that makes physical things.

Today, when a new aircraft programme is launched anywhere in the world — in Toulouse, in Seattle, in São José dos Campos, in Nagoya, in Chengdu — the first act is not to commission a wind tunnel or reserve a hangar. The first act is to open CATIA. The geometry that will define the aircraft for the next fifty years is created in that first session. The simulation models that will prove its airworthiness are built in SIMULIA. The manufacturing processes that will produce it are planned in DELMIA. The documentation that will maintain it throughout its service life is managed in ENOVIA. All of it runs on the 3DEXPERIENCE platform. All of it was built in Vélizy-Villacoublay, outside Paris, by a company that most air travellers have never heard of.

The next time you settle into your seat on a commercial aircraft and watch the wing flex gently as the plane accelerates down the runway, consider this: every curve of that wing, every rib and spar inside it, every fastener hole and fuel seal, every millimetre of its shape was defined in software written by French engineers. The wing was tested against turbulence it will never experience, stressed beyond loads it will never bear, and fatigued through lifetimes it will never fly — all inside a computer, all before it was built. The software that made this possible was not invented in California. It was invented in the suburbs of Paris, by people who came from an aircraft company and never forgot that the purpose of software is to make things that fly.

Europe does not merely contribute to the world's engineering infrastructure. In this case, it is the engineering infrastructure. Every aircraft designed. Every car crash-tested in simulation. Every factory digitally planned. The digital substrate beneath modern manufacturing is French, and the world builds on it every day — whether it knows it or not.

Sources

1. Dassault Systèmes Annual Report 2024 — https://www.3ds.com/investors/annual-report
2. Boeing 777 — Karl Sabbagh (Macmillan, 1996) — https://www.amazon.com/Twenty-First-Century-Jet-Building-777/dp/0684307235
3. The History of CATIA — Dassault Systèmes Corporate — https://www.3ds.com/about/history
4. Dassault Systèmes acquires Medidata Solutions — Press Release, 2019 — https://www.3ds.com/press-releases/single/dassault-systemes-completes-acquisition-of-medidata-solutions
5. NURBS and CAD: 35 Years of Development — Gerald Farin, Computer Aided Geometric Design, 2002 — https://doi.org/10.1016/S0167-8396(02)00126-8
6. Engineering the Boeing 777 — IEEE Spectrum — https://spectrum.ieee.org/the-making-of-the-777
7. Abaqus Finite Element Analysis — Dassault Systèmes SIMULIA — https://www.3ds.com/products/simulia/abaqus
8. The 3DEXPERIENCE Platform — Dassault Systèmes — https://www.3ds.com/3dexperience