Joint analysis of the regional innovation ecosystems in BrAIn partner countries

IDSI has finalized the first deliverable of the BrAIn project, focusing on a comprehensive analysis of the regional innovation ecosystem in the 10 partner countries and regions of the project. This report integrates the findings of 10 region/country innovation ecosystems analysis prepared by the BrAIn project partners. The objective of the regional analysis is to identify the right sets of skills needed by SMEs for enabling the application of AI-driven processes, concentrating on the 3 pre-defined sectors (agro-food, manufacturing and health-care), taking into account the horizontal challenges (energy efficiency, labour force and value chain). The deliverable is highlighting key findings, challenges, and strategic recommendations to foster innovation and economic growth.

The regions analyzed demonstrate significant potential for AI adoption, driven by robust R&D infrastructures, strong industrial bases, and strategic government support. Baden-Württemberg and Upper Austria lead in industrial innovation, leveraging their advanced manufacturing capabilities and comprehensive AI strategies. Meanwhile, emerging tech sectors in Bulgaria, Romania, and Moldova show promising growth, supported by entrepreneurial talent and EU funding. However, these regions face common challenges such as securing capital, navigating regulatory environments, and addressing skill shortages.

The regional analysis also shows that government policies play a crucial role in shaping the innovation landscape. Regions like Baden-Württemberg and Upper Austria benefit from strong government support and targeted R&D incentives, while EU funding programs like Horizon Europe provide vital resources for cross-border collaborations. Effective policies are essential for fostering digital transformation, AI adoption, and sustainable development across all regions.

Based on the findings of the analysis, the deliverable presents perspectives for AI applications in the predefined sectors among SMEs in BrAIn partner countries. It provides several recommendations, aimed to overcome identified challenges and fully realize the potential of AI in manufacturing, agro-food, and health sectors. Enhancing access to capital through dedicated AI funding programs and leveraging EU resources can provide the financial support SMEs need. Building technological expertise by expanding AI education and training programs and fostering industry-academia collaboration is crucial. Streamlining regulatory processes and creating supportive policy frameworks can facilitate smoother adoption of AI technologies. Promoting networking and partnerships through innovation hubs and cross-border collaborations can drive knowledge sharing and resource pooling. Lastly, investing in AI-specific infrastructure, such as testing facilities and data-sharing platforms, will support the practical application and scalability of AI solutions among SMEs. With focused efforts on these areas, the regions can drive significant advancements in AI adoption and innovation, contributing to economic growth and competitiveness in the global economy.