Research report

On the road to AI excellence (Report 2025)

The most comprehensive study on AI maturity in Swiss companies - with exclusive insights into the use and obstacles, as well as the central fields of action for AI maturity.

One of the largest AI studies in Switzerland

Artificial intelligence is no longer just a dream of the future, but is already a reality in Swiss companies. But how successful is the integration of these technologies really? And how mature are Swiss companies in terms of AI strategies, skills and technical requirements? Our study examines the six key areas of action for AI maturity and combines detailed findings and recommendations for action from 1,338 companies surveyed.

Key Insights - The most important facts in brief.

only 8%
have a fully consistent data structure. The basis for any successful AI strategy is often missing.
65%
of companies see AI as part of their long-term strategy - but only 13% work with clearly defined, measurable goals.
51%
of companies do not currently measure the success of their AI initiatives at all - a lack of KPIs hinders strategic decisions.
only 9%
offer mandatory, regular AI training for employees. There are still gaps in skills development.
48%
of companies are already using AI in their first individual processes - an increase of around 10% compared to 2023.
40%
of companies lack end-to-end IT integration - specialized systems such as BI or SCM are often not integrated.

Integrability as a central AI obstacle for companies.

Challenges in relation to artificial intelligence

Lack of integration of AI into existing systems (64%)

Data protection and security concerns (50 %)

Lack of internal expertise and specialists (39 %)

Resistance or skepticism from employees (41 %)

Lack of data quality and availability (35%)

Table of contents

Even more insights in the full AI report.

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1. digital maturity level

Discover how Swiss companies assess their level of digital maturity and which sectors are leading the way.

2. data management as the key

Why a robust database is crucial for successful AI projects and what challenges exist.

3. strategic anchoring

Find out why many AI initiatives fail if there are no clear goals and consistent support from top management.

4. technical integration and infrastructure

Understand the crucial role of a flexible IT infrastructure and why specialized systems are often not yet sufficiently integrated.

5 Security, data protection and compliance

Gain insights into how Swiss companies deal with security standards and where there is an urgent need for action.

6 Employees and corporate culture

Why employee acceptance and competence are key factors for the success of AI projects and how change management helps to reduce fears.

About the study

A word on methodology and authors.

The study is based on a comprehensive online survey of 1,338 managers from Swiss companies of various sectors and sizes. It was conducted as part of a research project by CorpIn GmbH and students at the University of St. Gallen in March 2025.

Nicolas Quell
Nicolas Quell

Co-Founder & CEO

Julianus Kath
Julianus Kath

Co-Founder & CTO

Franco Loser
Franco Loser

Co-Founder & CMO

Samuel Vogt
Samuel Vogt

Co-Founder & CFO

Stella Seufert
Stella Seufert

Research Analyst

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On the road to AI excellence 2025

Overview of the status quo, opportunities and obstacles of AI in Swiss companies

Detailed analyses of the AI maturity level in Swiss companies according to six key fields of action

Concrete recommendations for action for companies to overcome existing hurdles

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