Occupancy and space planning

Occupancy planning is the strategic discipline of matching an organization's workforce demand for space to its real estate supply by analyzing data on headcount, utilisation patterns, work styles, and growth projections to determine how much space is needed, where, and in what configuration.

In a hybrid workplace environment, occupancy planning has moved from a periodic space audit to a continuous portfolio management function. JLL's Global Occupancy Planning Benchmark Report — now in its 10th edition, drawing on data from 99 organizations managing 745 million+ square feet — shows that global office utilization reached 54% in 2025, up from 41% in 2023 but still well below the 79% target most organizations set. That persistent 25-point gap represents billions of dollars in underutilized real estate across corporate portfolios worldwide.

Occupancy planning addresses this gap through four core functions:

• Demand analysis: Forecasting how many people need space, when, and what types of space they need — factoring in hybrid schedules, growth projections, and seasonal patterns.

• Supply assessment: Mapping available space across a portfolio by type, location, capacity, and condition — identifying both surplus and deficit.

• Scenario modeling: Testing multiple futures (different hybrid policies, headcount trajectories, consolidation options) to quantify the financial and operational impact of each.

• Implementation planning: Translating analysis into actionable recommendations — move plans, reconfiguration designs, lease decisions, and change management strategies.

JLL manages occupancy planning across 880 million+ square feet globally, giving clients access to the industry's largest benchmarking dataset and a methodology calibrated against hundreds of peer organizations.

Occupancy measures how many people are assigned to a space (capacity allocation). Utilization measures how much of that space is actively used at a given time. The distinction is critical because the two metrics often tell very different stories about portfolio performance.

A building can be 100% occupied (every seat assigned) yet only 40% utilized (fewer than half those seats are in use on any given day). JLL's 2025 Global Occupancy Planning Benchmark Report found that global office utilization averaged 54%—meaning organizations are actively using just over half the space they pay for. The gap between allocated and utilized space represents the single largest cost optimization opportunity in most corporate real estate portfolios.

Leading organizations measure both metrics across multiple dimensions:

• Occupancy rate: Total assigned headcount divided by total seat capacity. JLL benchmark data shows the average office allocation rate now exceeds 111%—meaning more people are assigned than physical seats exist, reflecting the shift to seat-sharing models.

• Utilization rate: Actual presence measured by sensors, badge data, or WiFi analytics against available capacity. JLL data shows Tuesday peaks at 58.6% and Friday drops to 34.5%—a pattern consistent across hundreds of millions of square feet.

• Passive occupancy: Nearly one-third of all desk time is passive occupancy (like personal items on a desk with no person present). Badge data captures entry but not presence, systematically overstating actual utilization by 15–25%.

JLL's occupancy planning methodology integrates multiple data sources—sensors, badge systems, booking platforms, WiFi analytics, and HR headcount data—to produce a complete utilization measurement framework that accounts for these measurement gaps.

Portfolio optimization has overtaken cost reduction as the top priority for corporate real estate leaders—according to JLL's 2025 Global Occupancy Planning Benchmark report, 73% of organizations now prioritize optimizing how space is used over simply reducing how much space they have.

This shift reflects a maturation of occupancy planning from a cost-cutting exercise to a strategic portfolio management discipline. The top priorities identified across 99 organizations and 745 million+ square feet of tracked data include:

• Portfolio optimization: Aligning real estate holdings to actual workforce demand—identifying which locations to retain, consolidate, repurpose, or exit based on utilization data rather than assumptions.

• Data quality improvement: Only 7% of organizations rate their occupancy data quality as "excellent," while 20% rate it as "poor or none." Closing this gap through sensor deployment, system integration, and governance is a prerequisite for every other priority.

• Seat-sharing acceleration: Organizations are targeting seat-sharing ratios of 1.3 people per seat (up from 1.1), with 62% aiming for 1.5 or higher—requiring robust booking systems, workplace design changes, and employee change management.

• Sustainability integration: Nearly three-quarters of organizations (74%) now integrate sustainability targets into CRE portfolio strategy, connecting occupancy planning directly to Scope 1/2 emissions reduction and ESG reporting.

• Space-per-person reduction: Average space allocation is shrinking from 165 to 132 square feet per person as organizations invest in higher-quality, shared spaces rather than larger individual footprints.

Most organizations are paying for nearly twice the office space their workforce actively uses. With global utilization averaging 54% against a 79% target, the financial exposure is significant: a 500,000-square-foot portfolio at $60 per square foot represents $7.5 million in annual excess cost for space that sits empty most of the time.

The cost of underutilization extends beyond rent:

• Operating expenses: HVAC, lighting, cleaning, and security costs continue for unoccupied floors and buildings. These operating costs typically represent 30–40% of total occupancy cost and do not scale down linearly with lower utilization.

• Capital misallocation: Every dollar tied up in underutilized real estate is a dollar unavailable for strategic investments — technology, talent, growth initiatives, or sustainability upgrades.

• Opportunity cost: Lease obligations on excess space create inflexibility. Organizations locked into long-term leases on underutilized buildings cannot respond quickly to headcount changes, market shifts, or strategic pivots.

JLL's benchmark data shows 55% of organizations are actively cutting real estate footprints based on occupancy insights. A global financial services leader partnered with JLL to integrate occupancy, lease, and transaction data across its global portfolio — generating $120 million in savings by right-sizing its real estate holdings and relocating its corporate headquarters from a 500,000-square-foot building to a trophy-class building roughly half that size.

Each occupancy data source captures a different dimension of space usage, and no single source provides a complete utilization picture. Badge data captures building entry. Sensors capture actual presence. WiFi analytics capture device proximity. Booking systems capture intent. JLL's occupancy planning methodology integrates all four for the most accurate view.

• Badge/access control data: Captures building entry and exit events. Strengths: widely available, no additional hardware. Limitations: captures entry but not presence or location within the building — an employee who badges in at 8 AM and leaves at 6 PM registers as "present" all day even if they spent four hours in external meetings.

• Occupancy sensors: Captures actual physical presence at the desk, room, or zone level. Sensor types include thermal/infrared, computer vision, mmWave radar (99% accuracy), and passive infrared. Strengths: highest accuracy, real-time data. Limitations: hardware investment and installation required.

• WiFi/BLE analytics: Captures device proximity to access points, providing zone-level occupancy data. Strengths: leverages existing infrastructure with minimal deployment time. Limitations: provides zone-level rather than seat-level granularity, and accuracy depends on network density.

• Booking/reservation systems: Captures intended space usage. Strengths: easy to deploy, integrates with calendar systems. Limitations: no-show rates of 30–40% are common — booking data systematically overstates actual utilization.

JLL's benchmark finding that only 7% of organizations rate their occupancy data as "excellent" underscores the importance of a multi-source approach. JLL's technology partnerships across sensor vendors, IWMS platforms, and analytics tools enable a technology-agnostic data strategy tailored to each client's existing infrastructure and accuracy requirements.

Occupancy data transforms facilities operations from fixed schedules to demand-driven service delivery — reducing costs by 15–30% while maintaining or improving service quality by directing resources to where they are actually needed.

• Demand-based cleaning: Traditional cleaning schedules clean every floor on a fixed rotation regardless of usage. Occupancy data enables cleaning teams to prioritize high-utilization floors and reduce frequency on underutilized ones. This approach has delivered $2 million+ in annual savings for financial services organizations.

• HVAC optimization: Occupancy-based HVAC scheduling delivers 20–25% energy savings by adjusting temperature and ventilation to match actual presence — conditioning occupied zones while setting unoccupied areas to setback temperatures.

• Lighting automation: Sensor-triggered lighting reduces energy consumption by 15–30% compared to fixed schedules, with the added benefit of extending lamp and fixture life cycles.

• Predictive maintenance: Correlating occupancy patterns with equipment run-time data enables predictive maintenance scheduling — servicing HVAC units, elevators, and restroom facilities based on actual usage rather than calendar intervals.

JLL's Smart Building Platform integrates occupancy sensor data with building management systems to automate these optimizations, while Corrigo CMMS tracks maintenance workflows and vendor management at enterprise scale.

AI and machine learning transform occupancy analytics from backward-looking reporting into forward-looking predictive intelligence — enabling organizations to anticipate space demand, optimize allocation in real time, and model future scenarios with significantly greater accuracy than manual analysis.

• Predictive utilization forecasting: Machine learning models trained on historical occupancy patterns can forecast future demand by day of week, season, and organizational event — enabling proactive space allocation rather than reactive adjustments.

• Anomaly detection: AI identifies unusual patterns — sudden changes in floor utilization, meeting room booking anomalies, or gradual shifts in team location preferences — that manual analysis would miss.

• Scenario modeling at scale: AI enables rapid testing of hundreds of portfolio scenarios (different hybrid policies, growth trajectories, consolidation options) that would be impractical to model manually.

• Automated space recommendations: Advanced platforms generate specific recommendations — which floors to consolidate, how to reconfigure neighborhoods, where to add or remove meeting rooms — based on pattern analysis across the full portfolio.

JLL's Azara analytics platform provides AI-powered workplace insights that integrate occupancy, energy, maintenance, and financial data into a unified view. JLL's broader AI capabilities, including JLL Falcon, bring market intelligence and property-level data analytics to inform occupancy planning recommendations with external market context.

JLL integrates occupancy planning with workplace strategy through a shared data-and-design methodology — using utilization analytics to inform strategic vision and design decisions, rather than treating space optimization and experience design as separate workstreams.
 

The integration operates at three levels:

• Data informs strategy: Occupancy data reveals which space types employees actually use, when collaboration happens naturally, and where friction exists in the current environment. This evidence base replaces assumptions in workplace strategy development.

• Strategy shapes space: Workplace strategy defines the vision — how the workplace supports culture, collaboration, and productivity. Occupancy planning translates that vision into specific space type ratios, density targets, and allocation models.

• Experience validates both: Post-implementation occupancy monitoring confirms whether strategy and design achieved their intended outcomes — and identifies adjustments needed as work patterns evolve.

JLL's integrated approach is demonstrated in its work with a leading technology company's new sales headquarters — where JLL's consulting team integrated occupancy analytics, workplace strategy, service design, and experience management to create a workplace model that delivered improved occupancy rates and employee satisfaction.

JLL uses occupancy data as the analytical foundation for the most consequential financial decisions in a CRE portfolio: which locations to retain, consolidate, or exit; when and how to renegotiate leases; and where to expand or relocate based on actual workforce demand rather than assumptions.

• Portfolio right-sizing: Utilization data identifies which buildings and floors are consistently underutilized, quantifying the financial case for consolidation. JLL's scenario modeling calculates the net financial impact of different consolidation options, including moving costs, lease termination fees, and ongoing savings.

• Lease renegotiation: Occupancy data provides leverage in lease negotiations — demonstrating to landlords that a tenant's actual space needs have changed, supporting right-sizing requests, and informing decisions about renewal, downsizing, or relocation.

• Location strategy: Occupancy patterns reveal which locations attract the highest employee attendance, informing hub-and-spoke decisions and geographic expansion strategy.

A global financial services leader used JLL's integrated data platform to cross-reference attendance, occupancy, lease, and transaction data across its global portfolio — identifying $120 million in savings opportunities and relocating its headquarters from a 500,000-square-foot building to a trophy-class building half that size.

A typical occupancy planning engagement takes 8–16 weeks from kickoff to actionable portfolio recommendations, depending on portfolio complexity, data readiness, and whether new sensor infrastructure needs to be deployed.
 

JLL's engagement follows a phased approach:

• Discovery and scoping (weeks 1–2): Define objectives, identify data sources, assess current data quality, and establish the measurement framework. JLL's team works with the client's CRE, HR, IT, and facilities stakeholders to align on scope and priorities.

• Data collection and integration (weeks 2–6): Aggregate badge, sensor, booking, and HR data into a unified analytical framework. If new sensors are required, deployment typically adds 1–3 weeks depending on technology type and portfolio size.

• Analysis and benchmarking (weeks 4–8): JLL's analytics team processes utilization data, identifies patterns, and benchmarks findings against the JLL Global Occupancy Planning Benchmark dataset. AI-driven pattern analysis via JLL Azara accelerates this phase.

• Scenario modeling and recommendations (weeks 6–12): JLL develops 3–5 portfolio scenarios with financial impact analysis, presents findings to stakeholders, and refines recommendations based on feedback.

• Implementation roadmap (weeks 10–16): Finalize the action plan — move schedules, reconfiguration designs, lease decisions, technology deployments, and change management programs — with timelines, responsibilities, and success metrics.

For organizations seeking ongoing occupancy management, JLL transitions from project-based analysis to continuous monitoring with quarterly strategic reviews.