Real Estate/Property

Occupancy Sensor Data

Post-COVID, every office landlord wants to know actual desk utilization -- occupancy sensors reveal the real return-to-office numbers that survey data gets wrong.

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Overview

What Is Occupancy Sensor Data?

Occupancy sensor data captures real-time, minute-level insights into how physical spaces are actually being used. Rather than relying on booking systems or surveys that overestimate utilization, sensors track presence, heat, and motion patterns to deliver objective evidence of space occupancy. Post-COVID, this has become critical for office landlords and corporate real estate teams verifying return-to-office adoption and justifying real estate portfolios. Occupancy sensors integrate with workplace analytics platforms to anonymously aggregate utilization trends across rooms, floors, and entire campuses. The data enables space optimization, energy efficiency, hybrid work planning, and capacity design decisions grounded in actual behavior rather than assumptions. Leading sensor providers achieve 99% accuracy through proprietary heat and motion detection algorithms, with multi-year battery life and minimal installation overhead.

Market Data

99%

Sensor Accuracy

Source: HubStar

Every 2 minutes

Data Collection Interval

Source: HubStar

Less than 1 hour

Installation Time

Source: HubStar

Evidence-based meeting room optimization using actual occupancy vs. peak-demand booking assumptions

Key Market Driver

Source: ResearchGate

Who Uses This Data

What AI models do with it.do with it.

01

Meeting Room Portfolio Optimization

Corporate real estate teams use minute-level occupancy analytics to right-size meeting room capacity and configuration, replacing overestimated peak-demand assumptions with evidence-based utilization patterns.

02

Hybrid Work & Return-to-Office Planning

Office landlords and workplace leaders verify actual desk utilization and occupancy trends to inform hybrid policies, space allocation, and real estate consolidation decisions post-COVID.

03

Energy Efficiency & Building Operations

Facility managers integrate occupancy data with smart building systems to optimize HVAC, lighting, and cleaning schedules based on real space usage rather than fixed schedules.

04

Campus & Portfolio Management

Universities and large organizations track occupancy across distributed facilities to guide capital planning, space design, and utilization benchmarking across regions.

What Can You Earn?

What it's worth.worth.

Occupancy Sensor Market Reports

€3,500–€4,850 USD (~$3,900–$5,400)

Comprehensive global market analysis and forecasts; varies by report depth and forecast period

Individual Sensor Data Feeds

Varies

Direct occupancy data licensing from providers like HubStar, Butlr, VergeSense, XYSense, and Pointgrab depends on scope (single building vs. portfolio), frequency, and integration requirements

What Buyers Expect

What makes it valuable.valuable.

01

High Accuracy Detection

Sensors must reliably detect presence via heat and motion with 99%+ accuracy to ensure CRE decisions are grounded in trustworthy data, not false positives.

02

Privacy & Security Compliance

Data collection must be GDPR-compliant, anonymized, and meet enterprise ISO 27001 security standards; secure hosting and encryption are non-negotiable for corporate deployment.

03

Granular Time-Stamped Data

Data must be collected at frequent intervals (e.g., every 2 minutes) with precise timestamps to support time-of-day analysis, peak detection, and occupancy trend modeling.

04

Platform Integration & Analytics

Sensors should integrate seamlessly with workplace analytics platforms and business intelligence tools to aggregate data across multiple spaces and provide actionable dashboards for stakeholders.

05

Low Maintenance & Long Battery Life

Deployed sensors must operate for multi-year periods with minimal maintenance and replacement burden to keep operational costs low and deployment scalable.

Companies Active Here

Who's buying.buying.

HubStar

Provides cost-effective, low-footprint occupancy sensors with 99% accuracy and 2-minute granularity; integrates with PresenceIQ analytics for CRE optimization; trusted by organizations like Radboud University and Pay.UK for workplace utilization analysis.

Butlr, Pointgrab, XYSense, VergeSense

Multi-vendor occupancy sensor ecosystem offering people-counting and occupancy pattern integration; enables customers to map spaces and analyze utilization data at room and building levels.

Honeywell International, Schneider Electric, Eaton, Lutron Electronics

Large building automation and industrial companies offering occupancy sensor solutions; integrate occupancy data with smart building systems for energy management and facility optimization.

OMRON, ABB, Delta Intelligent Building Technologies

Industrial automation and building technology firms supplying occupancy sensing hardware and integrated facility management solutions for commercial and industrial real estate.

FAQ

Common questions.questions.

How accurate is occupancy sensor data compared to booking systems?

Occupancy sensors achieve 99% accuracy by detecting heat and motion via proprietary algorithms, providing objective minute-level data. Booking systems and surveys significantly overestimate actual utilization, especially post-COVID, because they reflect reserved capacity rather than real occupancy.

What privacy concerns do occupancy sensors raise?

Leading sensors are designed to be privacy-preserving—they track presence anonymously without identifying individuals or capturing video. Compliant solutions meet GDPR, ISO 27001, and secure hosting standards to protect data integrity and user privacy across EU, UK, and US deployments.

How quickly can occupancy sensors be deployed?

HubStar and similar vendors claim installation in under 1 hour with no ongoing maintenance. Sensors feature multi-year battery life and low footprint design, making large-scale rollouts across office portfolios practical and cost-effective.

What decisions does occupancy data support?

Occupancy analytics inform meeting room right-sizing, hybrid work policies, real estate consolidation, energy optimization (HVAC/lighting schedules), campus utilization benchmarking, and capital planning. It replaces peak-demand assumptions with evidence-based space design and portfolio decisions.

Sell youroccupancy sensordata.

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