Hannover Messe 2026 is one of the world’s leading industrial trade fairs, bringing together global innovators to explore the future of automation, digitalization, AI, and sustainable manufacturing.

The event provides a pivotal platform for industry leaders to address disruption, rapidly shifting customer expectations, and the growing need for resilient, sustainable operations.

Make it real.

Capgemini will participate as an exhibitor in hall 15, booth F52, showcasing how we make AI-powered solutions real. By merging the physical and digital worlds—and leveraging data, software, engineering, and AI—we help organizations reimagine products, operations, and supply chains.

AI as a catalyst

AI powers predictive operations, intelligent supply chains, and sustainable product design. We de-risk AI at scale with ethical guardrails, while agentic systems and digital twins accelerate R&D and decarbonization—turning environmental goals into measurable outcomes.

Real business value

Intelligent Industry drives personalization, operational excellence, and new revenue streams. Sustainability becomes a profit driver through smart design and climate tech. Our solutions deliver tangible ROI—financial, environmental, and societal.

Demos and content

This year’s program at Hannover Messe will feature a dynamic demo area, where visitors can explore our latest innovations firsthand. Our experts will be on site to discuss three core areas shaping the future of Intelligent Industry:

  • AI & technology impact on business:
    companies view AI as a key driver of long‑term growth and competitiveness. Despite short‑term uncertainty, they are increasing multi‑year AI investments, scaling GenAI use cases, and exploring agentic and edge AI. Success hinges on governance, strong sponsorship, solid data foundations, and effective human‑AI collaboration—already delivering clear productivity gains and enabling more intelligent, future‑ready enterprises.
  • Product development:
    Modern product development integrates digital engineering, AI‑driven design, and seamless cross‑team collaboration. Sustainability by design ensures that environmental impact is reduced from the very first concept through the entire lifecycle. This accelerates time‑to‑market, improves product quality, and drives scalable, responsible innovation.
  • Manufacturing operations & supply chain:
    digital technologies optimize manufacturing and supply chain performance through real‑time transparency, intelligent automation, and predictive capabilities. Manufacturing operations platforms combining Unified Namespace, next‑gen MES/MOM architectures, and AI‑enabled operations—unify data and processes across plants, enabling faster decisions, scalable automation, and consistent execution. Companies gain resilience, reduce downtime, and ensure efficient, sustainable, and flexible production and logistics.

Experience three hands-on demonstrators that bring these focus areas to live:

Technology | Humanoid Robot

A humanoid robot operates as part of the internal logistics chain in a real manufacturing environment. When materials in the production cell are consumed, the robot autonomously replenishes them by picking and placing components in the designated area.

Product | Mars Rover

The Mars Rover is a modular physical demonstrator showcasing Capgemini’s AI and PLM expertise. Visitors enter high‑level requirements via chat, triggering specialized AI agents that configure, validate, and orchestrate the engineering setup end‑to‑end.

Operations | Production Cell

A connected production cell demonstrates how manufacturing operations interact with physical AI. A human and an industrial robot collaboratively produce components of a Mars Rover. A chatbot provides real‑time insights into machine status, production progress, and orders, while service tickets are generated automatically.

Speaker presentation

In addition, a curated speaker program on our booth will feature Capgemini and industry experts sharing insights into the latest technological trends and developments in manufacturing.