Software Defined Vehicle (SDV)

The central paradigm shift in vehicle development and customer experience

Software Defined Vehicle – The Vehicle of the New Generation

The automotive industry is currently undergoing the greatest transformation in its history. Whereas the focus used to be on hardware, the new-generation vehicle  inspires with one thing above all: Software. Because in the future, we'll be driving autonomously, electrically, highly connected and have the latest digital features on board as standard. In other words, the customer experience is largely defined by the software in the car. This trend is gaining momentum and is called “Software Defined Vehicle” (SDV).

In particular, the SDV requires a technical shift to a modern zonal domain architecture for the electrical/electronic components, as well as the introduction of an agile software lifecycle with regular (remote) software updates over-the-air - independent of ECUs or vehicles.

As an industry expert, msg builds on its long-term expertise from collaboration with OEMs and 1-tiers/2-tiers. Our holistic service portfolio includes the design of e/e processes (including requirements management, functional security or automotive SPICE,), e/e methods (including model-based software development or systems engineering) and e/e systems for SDV.Onboard, SDV.Offboard, SDV.Cloud or SDV.DEV.

Let's shape the automobile of the future together – the Software Defined Vehicle. We provide you with independent consultancy.

SDV.Onboard, SDV.Offboard, SDV.Cloud and SDV.DEV IT solutions

Fig. 1: SDV.Onboard, SDV.Offboard, SDV.Cloud and SDV.DEV IT solutions

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Marco Prucha

Business Development Automotive

Five Key Topics for the Mobility of the Future

Connected Car

Cloud-based networking of vehicles with the environment (Car2x), especially with the backend,  infrastructure or other vehicles is increasingly important for the mobility of the future. With more than 70 connected car services and numerous cloud-native applications based on the current hyperscaler stacks (mainly AWS, Azure, Google) we stand for state-of-the-art cloud computing. We actively take part in the design of cloud standards and ecosystems such as Gaia-X or Cantena-​X.


Human-Machine-Interface (HMI) & Infotainment

Seamless connectivity of smart devices (such as smartphones, smart watches) and the automobile via Android Auto, CarPlay or MirrorLink is now standard. Security and data protection aspects must be considered in all development steps of the UX/UI process. We develop apps and mobile online services in a natively, web or cloud based with the latest technologies and integrate new interaction possibilities that arise, for example, through augmented and virtual reality.

Software Journey

An end-to-end software journey is the path of software from development, production to the continuous distribution and use (including function on demand) of current software in the field. We advise our customers on state-of-the-art software methods, best practices, agile development, DevOps and the correct integration into automotive processes, such as automotive SPICE or AUTOSAR, and the efficient consideration of relevant regulations for homologation, in particular SUMS (UN-ECE R156) or CSMS (UN-ECE R155).



Well-developed charging infrastructure, barrier-free charging with a charging app, roaming, simple contracts and clear billing are indispensable for successful e-mobility. We develop apps and cloud-based applications in the context of e-charging. In this way, we are paving the way for the even more convenient charging of electric vehicles. With the help of our Plug&Charge solutions (according to ISO 15118), drivers can easily identify themselves  by plugging their car into a charging station and charge at any provider without major problems.

Advanced Driver Assistance Systems (ADAS) & Autonomous Driving (AD)

On the path to fully autonomous driving (level 5), increasingly complex driver assistance systems (ADAS) (level 1-4) are crucial to differentiate the company from the competition. We provide support primarily in the area of cloud-based remote ADAS solutions and in the design and safeguarding of these functions through our extensive expertise in systems engineering (architecture, safety, security) and testing of modern highly distributed vehicle architectures. We bring our extensive machine learning and analytics expertise to bear on the analysis of the extensive data sets generated in the process to safeguard the driving functions (see also our general AI & BigData portfolio).

"With our solutions for the Software Defined Vehicle, msg is shaping innovations in the automotive sector: 90 percent of all innovations are stimulated by electric/electronic topics. The trends autonomous driving, connected car, e-mobility and smart/shared mobility define our future mobility. With our expertise, we want to make an important contribution to this development."

Marco Prucha - Business Development Automotive

Our consulting focus in the area of Software Defined Vehicle

The Functional Safety (ISO 26262) and Safety Of The Intended Functionality (SOTIF, ISO 21448) methodologies are critical for safe vehicles and for minimizing risks to drivers. Through our holistic analysis with regard to the vehicle, we can identify dependencies and assess and design the functional safety of systems or individual components. We offer integrated consulting and support services (including gap analyses, training, assessments, HARAs) from requirements analysis, architecture, modeling, code generation, module test or integration test to system test.

Our activities include consulting, analysis and design as well as  implementation and testing (including pen tests, security code checks such as SAST, DAST) of high-security critical systems in the area of information and IT security – including onboarding, offboarding and for cloud solutions. The central administration and distribution of cryptographic keys and signatures for software components, vehicle keys, function enabling and ECUs to development, production and services are important topics. We also advice our customers on data protection/security concepts (incl. gap analysis, TARAs), security processes (TISAX, CSMS, ISO21434) and risk management. For our general IT security portfolio, see link to msg security advisors.

We cover all phases and areas of software development, both for onboard components (embedded software) and offboard solutions (cloud or backend), using the appropriate software stack and up-to-date frameworks. We advise our customers on state-of-the-art software methodologies, DevOps, best practices, agile development or AUTOSAR adaptive/classic, for example. Especially agile system development in the area of HMI and infotainment and end-to-end integration of vehicle software for the Software Defined Vehicle are part of our portfolio.

The changes in the market with ever increasing complexity, shorter development times and much more demands holistic solution approaches (model-based, function-oriented, data-oriented etc.) in the field of systems engineering. We are your ideal partner for the digitalization of your product development and your transformation of the added value chain. In doing so, we consider the processes, methods and tools for systems engineering in the 4 dimensions:

  • Organization & culture
  • Expertise & methodology
  • Processes & roles
  • IT systems & migration

With our electric/electronic laboratories, we have our own ESD-compatible facilities with modern e/e laboratory equipment, including measurement and testing technology, to carry out tests, implementation and maintenance work on different electronic components (including testing targets, breadboard assemblies, ECUs, IoT hardware, sensors, actuators). We have the equipment to create embedded hardware/software prototypes (breadboard assemblies, simulations etc.) on the basis of rapid prototyping, including wiring harnesses, soldering furnaces, circuit boards, frames. We also offer hardware-related consulting and implementation services (classic and adaptive AUTOSAR etc.) as well as pen testing and safety analysis for ECUs and IoT devices.

In the context of analytics and big data, we offer end-to-end solution expertise and consulting. For example, our data engineers and data analysts assist you in data preparation for ADAS remote services to provide various data products (including road works detection, road sign recognition, road damage) or identification of security anomalies with the help of VIDS systems (Vehicle Intrusion Detection). In our innovative projects, we use our broad knowledge of AI algorithms (see also to unlock the full potential of your added value creation in e/e and SDV, e.g. for object recognition in LiDAR point clouds, trace file analysis for ADAS regression testing, automated defect detection using image recognition or chatbots and voice assistants.

More about the topic


Join us for an in-depth look at the challenges and opportunities for ADAS in the backend and find out why providing additional information for ADAS functions is so crucial.

SDV, Quantum Computing

Experts assume that information security will be threatened by quantum computers in the future. With the right action plan, companies from the IIoT, automotive and KRITIS sectors can prepare themselves today for the use of new encryption technologies and thus mitigate the risks posed by quantum computers.

Homologation, SDV, Cybersecurity

With the growing proportion of software in automobiles, the risk of a cyber attack is rising in parallel. This adds another dimension to the concept of vehicle quality – that of cybersecurity.

Data-based ecosystems, SDV

The development of highly complex driving functions for autonomous driving requires improved sensors and optimized data use in the collaboration between automobile manufacturers, sensor suppliers and simulation development. Data ecosystems in conjunction with digital twins offer an efficient solution for safe and cost-effective updates.

Data-based ecosystems, SDV

The close interaction between hardware, software and data in the vehicle opens up new opportunities for car manufacturers.

Homologation, SDV, Cybersecurity

The UN regulation for cyber security management systems provides automotive manufacturers with a framework for identifying, assessing and managing cyber security risks in vehicle development. This involves the monitoring of cyber attacks as well as an effective response to and analysis of successful or attempted attacks.


Modern vehicles are equipped with an increasing number of automated driving functions. How can external data increase the safety level without compromising functional safety?

Homologation, SDV

New UNECE regulation: Automotive manufacturers are under increasing pressure to implement this regulation (SUMS 11-2), which requires efficient control of E/E product data via ECU networks and the resolution of scheduling conflicts.