Industrial Technology and Engineering
Having successfully supported various M&A projects with our unique database, which allows us to identify suitable M&A targets even in the smallest niches of the industry, makes Delphi an ideal partner to solve market challenges.
- Due to the value chain structure and the business model of most market participants, most of the profits in the mechanical Engineering sector are traditionally generated by aftermarket sales.
- Furthermore, many industries have developed into mature market segments in the past decade. In segments such as compressors for the Oil & Gas Industry (60%) or pumps for Mining applications (70%), aftermarket sales already account for the majority of sales technology suppliers. Therefore, it is difficult for companies with a small installed base to compete in those mature sectors.
- We support you to determine the current lifecycle stage of your product portfolio and help you to develop a successful aftermarket strategy
- Today, China is already the most important supplier of technology in the mechanical engineering sector. Being the export king globally in 2020 - for the first time (15,8% vs Germany 15,5% VDMA) - production in the country grew by over 50% since 2015. Furthermore, international subsidiaries are facing more and more problems to compete with local companies in China.
- Still, many American & European multinationals are not aware of the strength and the strategy of their Chinese competitors yet. One major problem is the lack of accurate data on Chinese market players.
- With the help of our huge China focused company datasets, you will be able to develop strategies to compete in the future, both internationally and in China.
- The COVID crisis brought the vulnerability of global supply chains to light. Many countries implemented policies of nationalization or relocation for technology sectors to increase domestic production and to reduce dependency from foreign political actors. While important emerging markets such as Saudi Arabia or Egypt already announced their nationalization strategies and future requirements for international manufacturing companies, OECD countries have not yet introduced such steps.
- We help you to identify your most attractive future markets, design your future geographic setup and to diversify your global supply chain.
- Digitalization & IIoT will be the biggest disruptors in the industrial space since the electrification. Industry 4.0 is a huge challenge for many companies in themechanical engineering sector.
- Business models will be changing, new technologies will be demanded. Yet, there is still no clear pathway for many of our customers.
- Delphi Data Labs supports with mapping key technologies and markets, as well as help with key strategic questions, such as make or buy decisions or identifying relevant tech-startup collaborations for your product portfolio.
- The global energy & sustainability transition leads to new emerging sectors such as alternative proteins, Green Hydrogen or Bioplastics.
- Many of the key customers in those new segments are young companies and are not on the radar of machinery manufacturers yet.
- Delphi Data Labs helps not only with the identification of the most important end-customers and integrators/EPCs, we also support you in communicating hee benefits of your existing products for the new sectors in an adequate way.
Data & digitalization build the core of our consulting approach.
Unlike the industry standard, which relies mainly on interviews, our process is built on big data analytics. Our approach ensures highest academic research standards, and limits the negative impact of cognitive bias, which happens to occur in expert interviews. The human brain is simply not designed to correctly record and depict the nature of complex international multi-billion dollar markets.
That’s why statistical analysis of adequate data is the core of our research methodology. Nevertheless, we strongly rely on human expertise, which marks the starting & final process step in our work:
At first we map and understand the relationships in an industrial value chain to set the frame for our research. In the second step, we fill our value chain model with data from various sources to determine the market potential. In the next step of the process, our data is challenged by human expertise. We then integrate the feedback and adjust our data in a second human feedback & approval process.