Occupancy analytics has become a core capability for workplace strategy, corporate real estate, and facilities teams. As hybrid work reshapes how offices are used, organizations increasingly rely on data to understand when, where, and how spaces are actually occupied.

Modern occupancy analytics platforms provide visibility into actual office usage, highlight underutilized spaces, surface peak activity patterns, and show how these dynamics influence real estate costs and long-term planning.

At the same time, the market has become fragmented. Solutions differ not only in how they collect occupancy data, but also in what insights they enable and how they support decision-making.
In this article, we review the top occupancy analytics solutions, outline key evaluation criteria, and compare the most common approaches used across the market.

What to Look for When Choosing an Occupancy Analytics Solution

Before reviewing vendors, it helps to understand the foundational differences between platforms:

Data sources: Sensors, Wi-Fi, access control, booking data or a combination.

Privacy: Device-level detection vs. anonymized, aggregated data.

Scalability: Ease of deployment across multi-site portfolios.

Accuracy: The level of precision required, from high-level trends to space-level measurement.

Decision support: Linking occupancy to cost, strategy, and action.

With these criteria in mind, below is a structured overview of the Top 10 Occupancy Analytics Solutions in 2025.

Leading Occupancy Analytics Solutions:

1. Basking

Basking is an occupancy intelligence platform that brings together Wi-Fi, access control, and sensor data to give organizations a complete, real-time view of how their spaces are used. Instead of focusing on a single data source, Basking unifies multiple signals into one analytics layer — allowing workplace and real estate teams to work with reliable, portfolio-wide insights.

What distinguishes Basking is its ability to translate dynamic occupancy patterns into clear operational and strategic decisions. The platform connects utilization trends with AI-driven analysis, portfolio benchmarks, and lease context, helping organizations understand not just where space is used, but what that usage means for costs, consolidation opportunities, and long-term workplace strategy. This makes Basking especially relevant for multi-site portfolios where occupancy data must support both day-to-day operations and long-term planning.

2. Density

Density delivers high-accuracy occupancy data using radar-based sensors. Its hardware provides real-time visibility into entrances, open areas, and high-traffic points without capturing personal information.

The platform is widely used in environments where precise space-level measurement is essential, such as validating capacity, monitoring foot traffic, or analyzing how specific areas perform over time. Organizations choosing Density typically prioritize accuracy and real-time detection, and are comfortable deploying and maintaining physical sensors.

3. VergeSense

VergeSense focuses on AI-powered occupancy sensors that capture highly granular usage patterns across desks, rooms, and zones. Deploying sensors throughout an office allows organizations to analyze how specific spaces are used throughout the day.

This approach is especially useful for teams evaluating hybrid work behavior, optimizing seating strategies, or analyzing room utilization. As with other sensor-based solutions, it requires installing and maintaining hardware across selected office areas.

4. Cisco Spaces

Cisco Spaces builds occupancy analytics on top of Cisco’s enterprise networking ecosystem. By using Wi-Fi and network data, it provides real-time and historical views into how buildings and campuses are utilized.

It’s particularly attractive for organizations that already rely heavily on Cisco infrastructure. Without deploying new hardware, companies can access campus-wide occupancy trends for operational planning and workplace insights.

5. Juniper Mist

Juniper Mist integrates occupancy analytics into its AI-driven network platform. Occupancy is detected through Wi-Fi signal patterns and delivered as part of broader network intelligence.

This solution fits organizations using Juniper networks who want visibility into workspace usage alongside connectivity and performance metrics, rather than adopting a separate workplace analytics tool.

6. Tango Analytics

Tango Analytics offers sensorless occupancy insights that tie directly into broader IWMS and real estate workflows. By using existing network infrastructure and combining it with lease and portfolio data, Tango positions occupancy as part of a unified real estate strategy.

It is often selected by organizations already using IWMS tools or those wanting to integrate utilization insights with lease administration, cost analysis, and long-term space planning.

7. XY Sense

XY Sense is a sensor-based occupancy analytics platform focused on measuring how spaces are used across offices and campuses. The solution relies on dedicated hardware to capture real-time utilization data, typically at the room or zone level, and is often used to understand density, availability, and movement patterns within defined areas.

XY Sense is commonly adopted by organizations that require consistent, sensor-driven visibility into space usage and are prepared to deploy and manage physical devices across locations. Its strength lies in delivering reliable, localized occupancy data that supports operational decisions around space configuration, utilization tracking, and workplace optimization.

8. Robin

Robin combines desk and room booking with analytics that reflect attendance patterns and space demand. Occupancy signals come from reservations, check-ins, and user engagement, rather than physical presence detection.

It’s a strong fit for hybrid teams looking to understand peak days, collaboration patterns, and space preferences, especially when workplace coordination is as important as measurement.

9. Officely

Officely integrates directly with Slack and Microsoft Teams to help hybrid teams declare attendance and book desks. Its analytics are based on expected and actual usage patterns derived from bookings.

This approach works well for organizations that value simplicity, high user adoption, and clear visibility into declared vs. actual attendance.

10. HID Global, Brivo, and Kastle Systems

Access-control-driven solutions use badge data to infer occupancy through entry and exit activity. While not designed for deep occupancy analytics on their own, they provide reliable directional visibility into who is in the building and when.

These tools are often used alongside other data sources, particularly in environments where security systems already play a central operational role.

Choosing the Right Approach: Sensors, Wi-Fi, or a Combination

The right occupancy data source depends on your goals, scale, and workplace context.
Sensors provide highly granular, real-time visibility at the room or desk level when precise measurement is required. Access control systems reveal reliable entry and exit patterns, while booking platforms surface demand and attendance intentions.

Wi-Fi analytics, however, play a different role. Because Wi-Fi is already present across almost every workplace, it offers broad, portfolio-wide coverage with no added hardware and naturally anonymized, aggregated signals. This makes Wi-Fi a practical foundation for understanding utilization at scale — especially in organizations operating multiple sites.

At the same time, no single method answers every occupancy question. A balanced, multi-source approach, using Wi-Fi for coverage, access control for flow insights, and sensors where room-level detail is needed – provides the most complete view of how workplaces function.

When these inputs are paired with AI-driven analytics and workplace context, occupancy data becomes a powerful basis for decisions about space efficiency, cost optimization, and long-term portfolio strategy.
This is the direction platforms like Basking are designed to support.

Final Thoughts

Occupancy analytics is no longer just about counting people in offices. Its real value lies in understanding patterns, context, implications, and using that understanding to make better workplace and real estate decisions.

As the market continues to evolve, choosing the right solution means looking beyond individual technologies and focusing on how insights are generated, interpreted, and applied.