Mechanical engineering is hungry for startups
More than half of the respondents already work with startups today - almost three quarters would like to start doing so in the next few years.Almost 70 percent of the companies that already work with startups are satisfied with the success of the cooperation.
- The top motives are access to new technologies and new business models as well as products.
- The most frequently used form of cooperation among the startup shares of mechanical engineers is project-related cooperation.
- The study is now available to VDMA members and interested members of the public.
Motives for cooperation with startups
There are many reasons for cooperating with startups. 93 percent of those surveyed stated that they wanted to gain access to new technologies and process knowledge through cooperation. 90 percent of those surveyed aim to develop new products and business models. Startups in technology topics of the future such as Industry 4.0/Industrial Internet of Things (IIoT) (93 percent) or Data Analytics and Artificial Intelligence (83 percent) are particularly popular with machine and plant manufacturers. Cooperation with young companies is therefore a good way to develop future technologies and make them quickly usable in the company and in the development of new products. Startups increase the speed in the company and help to shorten the time to market of an idea. At the same time, they make it possible to test out new ideas beyond the company's classic core business.
Successful models of cooperation with startups
A broad spectrum of cooperation and innovation models is available for cooperation with startups. These include simpler forms of cooperation such as project-related cooperations, but also longer-term partnerships such as customer-supplier relationships or joint ventures. And more and more companies are also using their own innovation models such as accelerators or corporate venture units. Particularly popular in mechanical and plant engineering are flexible, purpose-built cooperation models that are easy to set up and bring immediate benefits. At 75 percent and 56 percent, respectively, project-related cooperation and the customer-supplier relationship are currently the most frequently used practices by machine and plant manufacturers. They require a relatively small amount of resources and are therefore an optimal entry model for machine builders into startup cooperation. This makes them particularly attractive for small and medium-sized enterprises. The downside of flexibility and low commitment, however, is that long-term participation in the startup is limited.
If a company is willing to commit itself in the long term and is not afraid of high resource costs, the operation of equity-based internal innovation initiatives such as Corporate Business Acclerators or Corporate Business Labs can be considered. Corporate Business Acclerators are independent business units in which startups with an already established business model are supported for a limited period of time in their rapid development. Corporate Business Labs are initiatives in which company representatives develop new innovations independently or collaboratively with external partners. They are more costly to implement and operate, but bring high potentials with them, as external startups can be strategically bound or a new innovation culture can be initiated in the company. So far, corporate business accelerators have only been used by 15 percent, corporate business labs by 30 percent of the experienced machinery and plant manufacturers. But their attractiveness is increasing: by 2021 almost 50 percent of those willing to cooperate want to have such innovation laboratories implemented in their companies. Which cooperation and innovation models are ultimately chosen depends on the company's specific goals and resources. It is important that a strategic fit is given.
Startup scouting as a challenge
Before cooperating with startups, however, the screening of startup trends and the scouting of candidates in the international and diffuse startup scene must be carried out. This is a complex and extensive task. As many as 42 percent of startup-affine machine and plant manufacturers take up this challenge and operate their own startup scouting - of which 23 percent are small and medium-sized enterprises. However, this also clearly shows that a large number of companies need support with startup searches and matchmaking.
VDMA Startup Radar
In April 2019, VDMA Startup-Machine will publish the VDMA Startup-Radar, a machine-learning-based instrument that can be used to track down startup trends and startup contacts with mechanical engineering relevance worldwide, in order to support machine and plant manufacturers in this strategic corporate task. The product was developed in cooperation with the Berlin business intelligence provider AtomLeap. The startup radar provides VDMA members with a navigation aid through the extensive and heterogeneous startup landscape. It acts as a guide by breaking down the topic fields in which startups are active (so-called startup action fields). It provides information on current trends in startups, the global distribution of startups ("hotspots") and financing trends along the fields of action. It is also a search tool in which VDMA members receive a searchable longlist in which startups are broken down by topic in addition to the publication. The Startup Radar thus supports VDMA members in finding and addressing suitable cooperation partners. The focus is on startups with mechanical engineering relevance whose skills and services complement those of our industry.
In order to win these startups, AtomLeap collects data from young companies worldwide using specially developed software. AtomLeap uses machine learning techniques to process and interpret the large data sets. This enables the identified startups to be grouped thematically in order to identify the main fields of action for startups in mechanical engineering. Machine Learning-based cluster analysis is based on the Pareto principle: Eight fields of action were identified, accounting for more than 80 percent of the startups identified worldwide.
As different as the individual startup requirements along the different mechanical engineering clusters and companies may be, in the Startup Radar VDMA members will find a scouting tool that is useful and informative for everyone. On the one hand, the Startup Radar serves companies that are still at the beginning of the Startup cooperation by providing them with an entry instrument with important context information and an integrated contact list. On the other hand, companies that carry out their own startup scouting also benefit by being able to validate and enrich their own results.
Save the Date
Learn more about radar at the Hannover Messe in the lecture
"Startup analysis of mechanical engineering relevant trends worldwide - how does it work" by Dr. Robin Tech, AtomLeap GmbH (only in german)
When? 01.04.2019 | 15.00 - 15:30
Where? Forum "Motion & Drives" Future Business Session Hall 23, Booth B20