Speed of innovation in German mechanical engineering and its hurdles

German mechanical engineering has always thrived on engineering skill, systems understanding, and the ability to translate complex customer problems into marketable technology. But in 2026, technological excellence alone is no longer enough. What is decisive is how quickly an idea becomes a robust product, a scalable process, a digital service, or a new business model. This innovation speed is now a central competitive factor - especially for a strongly export-oriented industry, which is among the largest industrial employers in Germany and at the same time is under pressure from digitalization, decarbonization, geopolitical tensions, and a shortage of skilled workers.

Mechanical engineering summit 2026: innovations in focus

The topic of innovation speed will also play an important role at THE industry event 2026: the German Mechanical Engineering Summit in Berlin. organized by VDMA and PRODUKTION. Experts, practitioners, and strategists from companies, politics, and associations will talk about what is preoccupying the industry - and moving it forward. So be there!

Click here for the program and registration.

Date & location: November 10 and 11, 2026 at Vienna House Andel's Berlin.

Participants: More than 900 executives from mechanical and plant engineering, top politicians, scientists, and start-up founders.

Core and focus topics:

• Competitiveness & geopolitics: location issues, market dynamics, and dealing with global trade conflicts.

• Digitalization & AI: use of artificial intelligence, machine learning, and data networks (e.g. Manufacturing-X).

• Sustainability & future technologies: climate protection in mechanical engineering (including presentation of the VDMA Award Carbon Busters)

Innovation speed is more than just pace

In the industrial context, innovation speed does not merely mean “developing faster.” What is meant is the ability to organize the entire path from idea generation through development, testing, industrialization, market launch, and scaling in such a way that new solutions become effective for customers earlier and more reliably. A Fraunhofer publication states the core precisely: Clear and efficient implementation, market preparation, and market launch steps are an elementary success factor in the race for market share. Only rapid market launch turns a technical invention into an economically effective innovation.

This is particularly relevant for mechanical engineering, because innovation here must be understood more broadly than classical research and development. KfW and OECD include not only new products, but also significantly improved processes. In addition, in mechanical and plant engineering there are increasingly digital services, data-based services, subscription and usage models as well as software-defined functions. A current VDMA-IMPULS study emphasizes that the future of the industry no longer lies solely in the physical product, but in the intelligent linking of machines, digital services and customer-oriented business models.

This also shifts the understanding of speed. In the past, innovative strength could be read strongly from patent portfolios, new machine generations and engineering depth. Today, what also counts is how quickly digital twins are used in development, how rapidly software updates are rolled out, how early usage data flows into services and whether AI applications make the leap from the pilot project into regular industrial operation. It is precisely this translation effort - from pilot to platform, from project to standard - that determines the actual implementation speed.

Mechanical engineering 2026: between crisis and comeback

2026 marks a turning point in mechanical engineering: between a stagnating economy and disruptive innovation, new rules of the game are taking shape for industry.

Why mechanical engineering is particularly dependent on speed

Hardly any German industry is as internationally positioned as mechanical and plant engineering. According to VDMA figures, the export ratio is around 80 percent. At the same time, the sector is under double pressure: On the one hand, customers worldwide are demanding higher efficiency, shorter delivery times, more transparency regarding sustainability metrics, and data-based services. On the other hand, competitors - especially in Asia - are catching up technologically and on price. In a current VDMA-IMPULS study, around 78 percent of the companies surveyed state that competitors from the Far East offer technically comparable products; two thirds even see these products as up to 30 percent cheaper.

In addition, there is the structure of the sector. Mechanical engineering is characterized by a high intensity of variants, customer-specificity, and complex system interrelationships. At the Siemens device plant in Erlangen, this is described as exemplary: More than 1,000 product variants in make-to-order operation (order-related production) can at some point no longer be managed economically with classical manual control mechanisms. Where complexity increases, efficient standards alone are no longer sufficient; the factory must understand interrelationships, evaluate options, and adaptively adjust to changes. This is precisely where implementation speed becomes a competitive factor.

At the political and scientific level as well, speed is increasingly being treated as a location issue. At acatech in the summer of 2026, it was emphasized that Germany still has a strong research and innovation landscape, but must transfer innovations into marketable products more quickly. Fraunhofer is also calling for the transfer to be accelerated and for companies to be strengthened through less bureaucracy as well as better access to research infrastructures. In 2026, the EFI Commission speaks of a system with high potential that, however, suffers from sluggish digitalization and bureaucratic obstacles.

Ai in mechanical engineering: from pilot to practice

AI in mechanical engineering is gaining significantly in importance. VDMA expert Guido Reimann explains why digitalization, standards, and data are crucial for the broad rollout.

Where mechanical engineering stands today

The good news is: Mechanical engineering remains an innovation-strong industry. The current ZEW industry report shows a share of innovating companies of 70.1 percent for 2024. Innovation expenditures rose to 19.04 billion euros, and the share of revenue from product innovations was 16.0 percent. As early as 2023, the share of innovators was 69.8 percent, revenue from product innovations was 15.1 percent, and the share of employees in companies with continuous R&D activity was 79 percent. Compared with the overall economy, mechanical engineering is thus clearly above average.

Striking is the breadth of innovation. According to ZEW data, 44 percent of companies introduced product innovations, 62 percent process innovations, and 43 percent carried out continuous R&D. Mechanical engineering thus innovates not only through new machine concepts, but also through production methods, IT-supported processes and efficiency increases. This process side in particular is crucial for the pace of implementation, as it can accelerate development, manufacturing, ramp-up and service.

At the same time, KfW and Fraunhofer show that the breadth of the business landscape has not yet reached the same speed level. Among SMEs, the share of innovators was around 41 percent from 2022 to 2024. Fraunhofer ISI comes to the finding that AI has indeed arrived, but is still used only to a limited extent across the board: Around 16 percent of industrial companies integrate intelligent systems directly into the production process; among small companies it is about 13 percent, among large ones around 30 percent. Between lighthouses and breadth, there therefore continues to be a clear implementation gap.

The overall economic environment is ambivalent. Germany increased its R&D spending in 2024 to 137.1 billion euros; the share of GDP was 3.17 percent and thus at a record level. The innovation system is financially solid. At the same time, EFI and KfW point out that weaknesses are evident particularly in the diffusion, scaling and marketing of new technologies - especially among SMEs.

Ai makes flexible automation economical

AI is becoming the driver of flexible automation at the Siemens Equipment Plant Erlangen. Stephan Schlauß explains how technology, digital twins, and cultural change interact.

The biggest inhibiting factors for innovation in mechanical engineering

The hurdles are well documented empirically. KfW Research identifies three central fields of obstacles: bureaucratic, financing-related, and competence-related. Bureaucratic obstacles occur most frequently at around 46 percent, financing-related ones at 35 percent, and competence-related ones at 34 percent. Particularly frequently mentioned are high costs, regulatory uncertainty, unclear market success, as well as complex legal requirements. Innovation therefore rarely fails because of a single factor, but rather because of a bundle of structural risks.

How heavily bureaucracy weighs is shown by individual case studies from mechanical engineering: For companies with 150 to 170 employees, the burden was over 6 percent of revenue, while larger companies show significantly lower relative values. This points to a structural size-related problem. In addition, the IW Future Panel 2025 shows that more than half of companies report a significantly increased effort for reporting and documentation obligations.

The shortage of skilled workers acts as an additional structural bottleneck. The IW quantifies the demographically caused gap in mechanical engineering by 2034, based on a model, at around 178,000 workers. For an industry whose capacity for innovation depends heavily on engineering, software, and data competencies, this is a central limiting factor.

Added to this are high location costs and uncertainties. EFI, acatech and industry analyses point to energy costs, raw material dependencies, geopolitical risks and weak investment dynamics. Companies often respond to this with a more cautious allocation of innovation budgets - which slows the scaling of new solutions.

Where German mechanical engineering can grow again

Orders remain unevenly distributed, exports are declining, costs and geopolitical risks are slowing investment. Nevertheless, new markets are emerging for German mechanical engineering companies.

Which actors shape the pace

The pioneers are located in a network of industry, research and technology-affine production sites. Siemens is investing around 500 million euros in the Erlangen site, which serves as a reference for digital factory structures and industrial metaverse applications. Digital twins are already being used in the planning phase.

Wilo shows the connection between smart factory, AI and organization: At the Dortmund site, processes are monitored in real time, which increases energy efficiency and flexibility. According to company information, energy consumption and CO₂ emissions are decreasing significantly. The adaptive worker assistance supports the assembly of around 12,000 variants and is considered a benchmark.

Trumpf demonstrates how business models can increase the pace of innovation. In the “pay-per-part” model, the company takes over planning, control and maintenance remotely. According to manufacturer information, productivity increases of up to 50 percent were achieved among pilot customers. What is decisive here is the continuous data feedback between manufacturer and customer.

DMG Mori, for its part, relies on platforms and usability. With Celos X and corresponding applications, according to company information, significant setup time reductions are possible in suitable scenarios. Virtual twins and platform approaches play a central role in this.

Impressions: this was the mechanical engineering summit 2025

Around 950 women and men from mechanical engineering came to the summit in Berlin. The industry took advantage of the opportunities for exchange and networking - among themselves, but also with politics. The event in pictures.

Mechanical engineering: development lines and outlook

Since the early Industry 4.0 phase, the focus has shifted significantly. While the debate began early, implementation remained hesitant for a long time. Today, the question is less whether technologies are relevant, and more how quickly they can be scaled.

In this context, Wilo speaks of the “industrialization of AI” - that is, the transfer of individual solutions into standardized applications. Siemens is pursuing similar approaches with productive platforms. At the same time, Fraunhofer ISI shows that diffusion across the board still requires time.

The central challenge remains the combination of technology, organization and framework conditions. Funding approaches, reduction of bureaucracy and skills development are regarded as decisive levers. Mechanical engineering is developing from a traditional product provider into a data-driven solution provider.

The potential is particularly visible in the area of AI: studies indicate that generative AI can significantly increase profit margins in mechanical engineering - under optimal conditions by several percentage points. At the same time, it is evident that comprehensive implementation is still at the beginning.

Innovation speed is therefore not an isolated metric, but rather an expression of the ability to bring together technology, data, skills, and business models in a resilient industrial system.

Come to the mechanical engineering summit!

At the Mechanical Engineering Summit 2026, learn from the best in the industry how business models can be adapted to new conditions. Be there when the leading minds of European mechanical engineering discuss projects and best practices for mechanical engineering!