Artificial Intelligence in the German Chemical and Pharmaceutical Industry: A Comparative Analysis of Empirical Survey Results
Year: 2025
Type: article
Abstract: This study presents a comparative analysis of survey data collected from 124 companies in the German chemical and pharmaceutical industry in 2020 and 2025. The findings reveal a clear upward trend in digitalization: in 2025, 91% of companies rated digitalization as "relevant" or "very relevant", up from 75% in 2020. Over this period, digital initiatives shifted from a focus on basic IT infrastructure and communication tools to a more consistent integration of artificial intelligence (AI). The adoption of AI grew substantially, with active use expanding from 34% of companies in 2020 to 76% in 2025. Generative AI tools, such as ChatGPT and customized enterprise assistants, are increasingly embedded in daily operations, particularly in large firms and a rising number of SMEs. AI’s relevance is highest in research & development and customer service, likely reflecting new generative AI capabilities. Main obstacles to AI shifted from organizational and budget issues in 2020 to technical and regulatory challenges, particularly IT security, in 2025. Mid-sized companies (50-999 employees) report the greatest difficulties in keeping pace with digital transformation. Overall, the sector is transitioning from isolated pilot projects to broad, multi-functional use of AI technologies.
DOI: 10.17879/91948465351
Authors: Daubenfeld, Thorsten, Hasselbach, Fé, Just, Svenja
Language: English
Field: Decision Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W7106018571
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