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Modern workplaces are evolving faster than their real estate. Hybrid schedules, flexible seating, and shifting team dynamics make it difficult for facilities and workplace leaders to know how spaces are actually used.
Space analytics — the practice of collecting and analyzing occupancy and activity data — gives organizations the evidence they need to align space with work patterns. This article explains how real-time occupancy insights improve office utilization, what technologies to consider, key metrics to track, and practical steps to implement a successful program, while highlighting privacy-forward, camera-free approaches that deliver anonymous, actionable data.
Space analytics is the systematic measurement and analysis of how physical spaces are used. It includes metrics such as occupancy counts, dwell time, movement patterns, and area utilization.
- Occupancy: the number of people in a specific area at a given time.
- Dwell time: how long people remain in a space.
- Utilization rate: proportion of available space actively used over time.
Space analytics turns raw occupancy signals into insights that drive decisions about layout, scheduling, and building operations.
Real-time occupancy answers immediate operational needs and enables dynamic responses.
- Improve user experience: route people to available meeting rooms or desks and reduce frustration.
- Optimize operations: deploy cleaning and HVAC resources precisely where and when needed.
- Safety and compliance: manage density limits during emergencies or public-health events.
- Data-driven policy: validate or adjust hybrid-work policies with live evidence.
Real-time data also feeds historical analysis—helping leaders spot trends, seasonality, and the impact of policy changes.