Biotechnology plays a crucial role in addressing global challenges in areas such as healthcare, climate change, and nutrition. However, bringing biotechnological R&D projects to market readiness involves significant technical risks and substantial financial investment. In addition, regulatory requirements – such as those governing clinical trials – legal frameworks for medicinal products, including advanced therapies, and national and international requirements for the testing and approval of biopharmaceuticals present further challenges. Only the consistent translation of research findings into tangible products and services will enable Germany to strengthen its position as a driver of innovation in the biotechnology sector. The German government therefore supports innovative companies with forward-looking projects through a broad range of funding opportunities, including tax-based incentives.

Today’s healthcare landscape is shaped by challenges relating to health, demographic change and well-being. It is crucial to ensure that healthcare remains affordable while maintaining efficient healthcare delivery and supporting independent ageing in order to address rising costs. New insights into the molecular mechanisms underlying diseases such as cancer can be leveraged to develop innovative therapies, preventive measures and diagnostic methods. However, translating these research findings into clinical practice is highly cost-intensive and involves significant technical risks, presenting major challenges for companies. To address these challenges, policymakers provide a broad range of funding opportunities, including tax-based incentives, to support innovative companies pursuing forward-looking projects.

The mechanical and plant engineering industry is undergoing significant transformation as digitalisation, automation and technologies such as AI, IoT and IIoT reshape the sector. These innovations are driving greater efficiency and flexibility in manufacturing. R&D is increasingly focused on sustainable technologies, including energy-efficient drive systems, as well as new manufacturing capabilities enabled by additive manufacturing. Existing machinery is also being enhanced through software and AI upgrades. In this rapidly evolving industry, continuous R&D activities are essential to maintaining technological leadership and long-term competitiveness.

Medical technology plays a vital role in this development by providing innovative tools and solutions for the diagnosis, care and treatment of patients. Imaging technologies and diagnostic systems, medical implants, and intelligent software solutions for the analysis and interpretation of healthcare data are just a few examples of this broad and dynamic field. By combining engineering expertise with advanced technologies, medical technology drives innovation and contributes to better clinical outcomes, improved efficiency and enhanced patient care.

Companies are increasingly investing in projects aimed at reducing CO₂ emissions, material consumption, water use and energy consumption. These efforts are driven by a combination of factors, including current and future regulatory requirements, rising energy and raw material costs, and the growing importance of corporate sustainability and brand reputation. Implementing the necessary measures often requires significant investment and can involve substantial technical risks, creating major challenges for companies. A broad range of public funding and tax incentive programmes can therefore support innovative businesses in implementing forward-looking projects and developing more sustainable solutions for the food industry.

Companies should invest in artificial intelligence (AI) to strengthen their competitiveness, increase productivity and unlock new business opportunities. AI enables innovative solutions and business models while enhancing an organisation’s capacity for innovation through data-driven decision-making. Against the backdrop of demographic change and growing skills shortages, AI can also help companies address capacity constraints and make more efficient use of available expertise. By combining AI with continuous research and development, businesses can strengthen their long-term resilience, competitiveness and ability to innovate.