How spatial computing creates new spaces for experiences

The term ‘spatial computing’ refers to technologies that enable computers not only to process data on screens, but also to recognise, understand and interact with our real, physical environment. It is therefore about machines learning to ‘understand’ physical spaces in the same way that we humans do – only faster, more precisely and often with greater foresight. 

Instead of viewing isolated information on a monitor, data is projected directly into the space in which we move – for example, via AR glasses, a smartphone or an in-car display. The computer thus becomes a ‘spatial interpreter’ which, with the aid of sensors (e.g. GPS, lidar, cameras and 3D scanners) to map and analyse the surroundings and convert them into digital models. These models can then be evaluated and utilised with the aid of artificial intelligence, simulation software and cloud or edge computing – in real time and often interactively. 

The most important feature of spatial computing is therefore the linking of digital information with physical locations. These include: 

• Augmented Reality (AR), in which digital content is superimposed onto real-world images,
• Virtual Reality (VR), in which completely simulated spaces are created,
• Digital twins, i.e. precise digital representations of real objects, buildings or processes,
• autonomous systems, such as robots or drones, which can navigate and act within a space. 

All these technologies interlock to enable a new form of human–machine interaction – one that thinks and acts spatially. 

Why is spatial computing relevant for businesses? 

With spatial computing, businesses can make processes more efficient, create new customer experiences and make complex decisions more effectively. Here are some specific examples: 

1. Manufacturing industry: Digital twins for maintenance and planning

A number of well-known companies use digital twins of machines or entire production lines. Thanks to spatially accurate simulation, they can: 

• plan maintenance before a breakdown is imminent (predictive maintenance),
• Identify bottlenecks and optimise processes,
• virtually test new equipment before it is built.

2. Retail: Augmented Reality in the customer experience

Retailers use spatial computing to display furniture or products virtually within customers’ own homes – via a smartphone or AR glasses. 

Benefits: 

• Higher conversion rates,
• Fewer returns,
• Greater customer loyalty through immersive experiences.

3. Logistics & Transport: Real-time navigation and warehouse optimisation

Spatial computing assists with the navigation of autonomous vehicles, precise localisation within warehouses and route optimisation for supply chains. 

Relevance for government bodies and public institutions 

There is also enormous potential in the public sector: 

1. Urban planning & infrastructure: Smart cities

Local authorities use 3D city models and digital twins to simulate new construction projects, analyse traffic flows or plan disaster response measures. 

Example: The city of Hamburg is running an ‘Urban Digital Twin’ project to improve traffic management and climate resilience. 

2. Emergency services & public safety: Situational awareness

The police, fire service and civil protection agencies can use spatial computing to obtain real-time situational awareness – for example, via drones or 3D mapping of incident locations. 

Benefits: 

• Faster response times,
• Better coordination of operations,
• Greater safety for staff and the public.

3. Cultural preservation & education: Digital reconstructions

Museums and heritage conservation authorities are digitising historic sites in 3D to preserve them or make them accessible – for example, through VR tours of destroyed buildings. 

Spatial computing is more than just a buzzword 

Spatial computing is the next big step in digitalisation – not just for tech giants, but also for small and medium-sized enterprises and public authorities. The ability to digitally capture real-world space and utilise it intelligently opens up new dimensions in efficiency, safety, sustainability and user experience.

Further information:

Digital Experience

Customer Service Management