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Digitalization in the automotive industry

Faster to market, free of licenses

Download the Trend Report now: “Data silos in industry”

Industry Trend Report

Automotive software engineering with a business focus

Digitalization in the automotive industry covers connected vehicles, OTA updates, digital twins and the networking of production and supply chains via cloud platforms. According to the Lünendonk study 2026 “Digitale Souveränität — Vom Risiko zur Resilienz” (Digital sovereignty — from risk to resilience, in German) (n = 155, DACH region), 9 out of 10 companies depend on hyperscalers, yet 83% see the kill switch as a relevant risk scenario — and very few have exit scenarios for an emergency.

Digitalization in the automotive industry therefore requires software that directly supports business goals, without vendor lock-in. We develop tailor-made automotive software: from the cloud platform to the app, secure and scalable. Our teams combine automotive software engineering, automotive cloud and automotive cybersecurity with a clear end-to-end approach: discover, design, develop, operate. We don't sell licenses or hardware — we take responsibility for impact, code quality and 24/7 operations.

Less Technology. Better Business.

Automotive engineering: independent, pragmatic, effective

End-to-end without lock-in
From exploration to 24/7 operations: we deliver architecture, code and automotive cloud from a single source. Because we don't sell licenses, you stay independent and keep full control over your roadmap and assets.
Security by design & compliance
We anchor automotive cybersecurity from day one. With test automation built directly into CI/CD and threat modeling, we close gaps immediately. This ensures audit-ready evidence for TISAX and UNECE R155 without slowing down release speed.
Modernization without downtime
We decouple grown systems with intelligent abstraction layers. This paves the way for modern cloud architectures and automotive software while your existing business keeps running stably and risk-free.
Cloud-native & scalability
We build platforms that grow with you. Thanks to everything as code and API as a product, your infrastructure stays flexible. Whether load peaks or new markets: we guarantee performance and cost efficiency in 24/7 operations.
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Cloud

With the right cloud architecture, we combine technology and business value: automated, secure, scalable. This creates room for innovation and lasting competitiveness.
More about cloud
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Cybersecurity

Cybersecurity starts with clarity: we protect your systems, data and processes with security by design — from risk analysis and penetration testing to DORA and NIS2 compliance.
More about cybersecurity
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Embedded systems & robotics

Intelligent systems start deep in the code. MaibornWolff develops robust embedded software and robotics solutions that perfectly combine precision, safety and performance.
More about embedded
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IoT

Connected products create new business models. We combine hardware, software and cloud into secure, scalable IoT solutions that make data usable and systems intelligent.
More about IoT
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IT modernization

Outdated systems slow down innovation. We modernize your IT while it keeps running — with a clear strategy, clean code and a focus on future readiness and stability.
More about IT modernization
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Data & AI

Data becomes decisions, AI creates value. We develop data-driven strategies, models and systems that make your company measurably smarter.
More about data & AI
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Industry 4.0

Production processes are becoming smart, connected and self-learning. We support you in the digital transformation of your factory — with IoT, cloud, edge and AI for measurable efficiency.
More about Industry 4.0
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Apps

From idea to rollout: we develop apps that make a measurable impact — intuitive, secure and built so that technologies such as AI or IoT can be integrated seamlessly.
More about Apps

Who we start the engine for

We don't build castles in the air, but software that arrives on the road (and in the plant). Whether you are connecting entire fleets or tracking the last screw in the warehouse — we pick you up where your legacy systems reach their limits.

How big the gap between the degree of connectivity and security really is, is reflected in a recent study:

The automotive industry connects vehicles, production and supply chains via cloud platforms. The Lünendonk study 2026 “Digitale Souveränität — Vom Risiko zur Resilienz” (Digital sovereignty — from risk to resilience, in German) (n = 155, DACH region) shows: the industry recognizes the sovereignty risk — but very few have exit scenarios for an emergency.

OEM & tier 1: scaling without pain

You want to roll out automotive IoT, but legacy IT is putting on the brakes? We integrate sensors and cloud analytics into your landscape — without line stoppages.

  • The approach: Decouple legacy systems, deliver clean APIs, scale vehicle connectivity.
  • The effect: Shorter cycles, stable releases and no more night shifts due to botched deployments.
Product IT & apps: services drivers love

For teams that don't see automotive software development as an end in itself, but want to build real D2C channels. We deliver backends that don't buckle even under load peaks.

  • The approach: Connect mobile apps with the automotive cloud. From predictive services to updates — all TISAX-compliant.
  • The effect: Fast feedback through analytics, happy users in the app store and features that are actually used.
Production & logistics: data instead of gut feeling

From the shop floor to the cloud, but please without buzzword bingo. We implement Industry 4.0 in the automotive industry so that you get transparency in real time.

  • The approach: Connect machines and sensors — for real digital twins and predictive maintenance.
  • The effect: Less downtime, clear OEE targets and a production that simply purrs.
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Let's talk about your next releases

In 30 minutes, we clarify goals, risks and next steps: non-binding, practical, on equal footing. If a little technology is enough, we'll tell you.

Book an appointment now

Automotive security: mastering complexity, overcoming hurdles

Security in the vehicle is not a feature you quickly bolt on at the end — even if we know the project plan would sometimes like it that way. We make sure that security, compliance and legacy systems are not a brake, but the engine for modern architectures. That's how we turn mandatory exercises into real competitive advantages.
Regulation & efficiency

Cost pressure is rising, but regulations such as UNECE R155/156 or ISO/SAE 21434 allow no compromises. We prevent compliance from blowing your budgets: with security by design and automated CI/CD checks, we integrate TARA and threat models directly into the development process. This produces audit-ready evidence efficiently and in parallel with development, instead of in costly extra rounds.

Updates despite legacy load

Historically grown architectures often slow down fast releases. We release the handbrake in the backend: instead of rebuilding the vehicle architecture, we migrate your update processes to modern cloud environments. We decouple the legacy world with intelligent gateways and shift complexity to the cloud. With secure campaign management, rollback logic and pre-validation in the backend, we make OTA updates possible even for existing fleets — without a workshop visit.

Safety first meets agile speed

The worlds of “zero defect” (hardware) and “move fast” (software) often collide. We resolve this conflict technically: we define clear budgets for latency and determinism and cleanly separate safety paths (fail-operational vs. fail-safe). The result: strict safety requirements remain untouched, while software teams can deliver in an agile and fast way.

Industry 4.0 in the automotive industry

In the automotive industry, Industry 4.0 means bringing together data from machines, warehouses and vehicles, automating processes and making quality visible. We connect shop floor, cloud and BI — pragmatic, interoperable, step by step instead of big bang.

Case studies

Successful automotive software development projects

BMW high-rise building with logo against a blue sky

Virtualization of software testing for control units in the AWS cloud

Cloud Embedded & Robotics
To the BMW reference
A red MAN truck drives along an empty road under a clear night sky with shining stars.

MAN: Efficient threat analysis for control units

Cybersecurity IoT
See MAN reference
A technician in a green Siemens jacket sits in front of a computer in a factory hall with industrial equipment in the background.

Siemens: AI demand prediction platform for industrial production planning

AI & ML Cloud
See Siemens reference
VW drives through tunnel at night

VW: Digitization of key production figures with the iProcess app

Data Platforms Apps
See VW reference
Cars on assembly line in factory

BMW Group: Replacement of a production-critical legacy system

IT Consulting IT Modernization
See BMW Group reference
Sports car parked in a colorful desert landscape.

Mixed reality: driving a real car in a virtual world

Digital & UX Design Apps
See BMW reference
Man checks MAN trucks at sunset.

MAN: Secure Software Development Life Cycle

Cybersecurity IT Consulting
See MAN reference
Large rollers on conveyor belt in factory.

Planning systems: Optimizing the capacity utilization of pressing plants

AI & ML Data Platforms
See reference

See all case studies

Our approach: discover, develop, operate

An infographic shows the automotive software engineering process

We don't deliver slides, but results that arrive on the road. Our process is radically geared towards time to market and risk minimization. From the first exploration to 24/7 operations, we work technology-agnostic and without vendor lock-in — so that you generate maximum business value as quickly as possible.

Software speed meets engineering precision

We know: a car is not a smartphone. In your projects, two worlds often collide — the software teams' desire to “move fast & iterate” and the “zero defect” reality of hardware development. We resolve this cultural conflict.

Our teams speak both languages: we synchronize agile sprints with the milestones of vehicle development. We bring product owners, IT and business units to one table and make sure time to market doesn't fail because of internal silos. We don't just deliver code, but the methodical bridge that gives your transformation traction.

How automotive companies in the DACH region strategically combine digital sovereignty and cloud connectivity is shown in the Lünendonk study 2026 “Digitale Souveränität — Vom Risiko zur Resilienz” (Digital sovereignty — from risk to resilience, in German).

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Would you like to become a satisfied MaibornWolff customer yourself?

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Frequently asked questions about digitalization in the automotive industry

Do legacy systems have to be completely shut down to become cloud-native?

No, we rely on the principle of decoupling: we build modern APIs and gateways in front of your legacy systems (e.g. mainframes). This allows new apps and services to be developed quickly while the legacy system keeps running stably in the background until it can be migrated step by step.

Does MaibornWolff also operate the solutions it develops?

We don't think in projects, but in products. Once the first version (MVP) is complete, the product life cycle is only just beginning. We take you along during development and enable you. This way, you can develop the product further yourself — or we continue the journey together.

How do you make sure AI projects don't get stuck at the “proof of concept” stage?

By tackling the problem at its root: data quality. Many AI initiatives fail because of poor data. That's why we often start with data exploration and business intelligence to create a clean foundation. Only then do we scale use cases — from the chatbot in aftersales to predictive maintenance in manufacturing — so that they deliver real ROI.

Practical knowledge on digitalization in the automotive industry

In-depth guides on the questions only touched on here — from data silos and smart maintenance to multi-cloud.
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MLOps

From the PoC graveyard to production – lifecycle, maturity levels, stumbling blocks.
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AI as a Service

Rent AI instead of building it – models, inference and platforms from the cloud.
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Predictive Analytics

Predictive analytics explained – definition, benefits, process & models.
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What are data silos?

Data silos slow down projects and AI. Learn how to make scattered data usable.
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Multi-cloud strategy

Multi-cloud promises flexibility, but implementation & strategy must be well planned.
Read more …
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Smart Maintenance

Here's how to get started with connected and predictive maintenance.
Read more …
Six humanoid robots in pink and blue tones sit on a steel beam high above a city skyline, connected to one another.

M2M communication explained simply

Was M2M bedeutet, wie es funktioniert und wo es in der Praxis eingesetzt wird.
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Understanding the Pros and Cons of AI

Seize opportunities, manage risks—and make informed decisions.
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A digital lighthouse on a rocky island in a dark, turbulent ocean

AI Governance: Definition & Principles

AI governance allows you to establish a framework for the use of AI in your organization.
Read more …
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Effective AI implementation: A practical guide for modern organizations

Successful AI implementation requires expertise and a clear roadmap.
Read more …
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Robotic process automation with a clear focus

Streamline processes, structure interfaces, and implement automation where it makes sense.
Read more …
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Production automation that provides guidance

Stabilise processes, reduce complexity, make results measurable.
Read more …
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Process automation with a sense of proportion

Simplify processes, identify potential, and use automation in a targeted manner.
Read more …
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AI automation with a clear focus

Stabilize processes, reduce complexity, create measurable benefits.
Read more …
A factory production line where small robotic arms place glowing data packets into a mechanical brain, symbolizing artificial intelligence.

How does artificial intelligence work?

How AI works explained in simple terms—from data to models to benefits.
Read more …

View all guides

Why MaibornWolff

As one of the most innovative IT service providers with a deep passion for AI, we focus entirely on project-based work and custom software development—without offering our own products. To stay at the forefront, we continuously invest in our team of digital technology engineers and develop digital solutions that are well-thought-out, efficient, and stripped down to the essentials.

Our guiding principle: simplicity over complexity. We develop only what is truly needed — tailored to your needs, beneficial, and reliable. Our results speak for themselves. With over 800 large-scale systems and more than 10,000 person-years of experience in high-end software engineering, we are among the few who can reliably implement even the largest and most complex IT landscapes. Thanks to close partnerships with leading hyperscalers, our customers run their solutions in today’s most modern and powerful environments.

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Digitalize the automotive industry

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In 30 minutes, we'll work out together where your biggest lever lies — software, cloud or security.

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