2025 Integrated Annual Report

Introduction

Partnership

Siemens and Capgemini deepen industrial AI partnership

Logo: Siemens

Cedrik Neike, member of the Managing Board and CEO of Siemens Digital Industries, discusses how the company deepened its partnership with Capgemini to transform manufacturing through industrial AI and deliver future-ready solutions.

Why do you think Capgemini is the right partner to deliver on the promises of industrial AI?

Cedrik Neike - For our customers, Capgemini is like a compass, deeply familiar with their challenges and ambitions. Siemens provides the engine: technologies like industrial AI, digital twins, and automation. Capgemini brings engineering capabilities, industry knowledge, and business transformation expertise. Together, we guide manufacturing companies through their digital transformation journey, enabling faster time-to-market, improved operational efficiency, scalability, and a shared commitment to sustainability.

How do Siemens and Capgemini guide customers through their digital transformation?

C. N. - Building on a strong partnership that has spanned nearly two decades, Siemens and Capgemini work together to address complex industrial challenges that were once difficult to overcome. We collaborate proactively with customers to deliver tailored, holistic solutions for them. For example, we enable the seamless convergence of IT and production systems and transform industrial AI into production-ready applications.

How do you see this partnership evolving?

C. N. - Our partnership continues to evolve alongside technology and customer needs. Today, we are co-developing AI-native assets across 16 high-impact capability areas, delivering measurable outcomes in efficiency, time-to-market, quality, and sustainability. Our focus is on key industries and growth markets. Capgemini is expanding its pool of Siemens certified experts across multiple technologies and industries, enabling customers to bridge the gap between technology’s promise and industrial reality, today and in the future.

Real business value

Co-developing AI-native assets across 16 high-impact capability areas. Delivering measurable outcomes in efficiency, time-to-market, quality, and sustainability.