Occupancy and space planning

Occupancy planning is the strategic process of aligning workforce demand with real estate supply using occupancy, utilisation and business data. It helps organisations make informed decisions on portfolio optimisation, workplace design and future space requirements.

In the Indian market, characterised by rapid Global Capability Centre (GCC) expansion, massive multi-tenant tech parks, and high-density corporate campuses, occupancy planning has evolved from a periodic desk audit into a continuous portfolio management function.

An effective occupancy planning programme focuses on:

• Demand forecasting to anticipate future space needs.
• Portfolio assessment to evaluate workplace performance.
• Scenario planning to test workplace and portfolio strategies.
• Continuous optimisation to improve utilisation and support informed business decisions.
  
  

In India, occupancy planning is increasingly driving business outcomes beyond space management. JLL’s Initiatives such as Low Carbon Friday and the ACES (Automated Campus Scoring Dashboard) for some of its occupancy management clients demonstrate how occupancy insights can support energy optimisation, campus performance and smarter portfolio decisions.

Ultimately, occupancy planning enables organisations to make faster, evidence-based real estate decisions that improve portfolio performance, workplace experience and business resilience.

Although often used interchangeably, occupancy and utilisation measure two different aspects of workplace performance.

Occupancy measures the number of people assigned to or present within a workplace relative to its available capacity.

Utilisation measures how effectively that space is actually being used throughout the working day. Understanding both metrics provides a far more accurate view of portfolio performance than relying on either measure independently.

According to JLL's 2026 Occupancy Planning Benchmark Report, actual office utilisation has improved to 61%, compared with a target utilisation of 74%, leaving a 13-percentage-point opportunity for portfolio optimisation.

Leading organisations evaluate workplace performance using several complementary measures:

• Occupancy Rate: the proportion of workplace capacity assigned or occupied by employees.
• Utilisation Rate: the percentage of available workspaces actively used over a defined period.
• Peak and average attendance: identifying demand across different days and times to optimise workplace capacity.
• Space-type utilisation: measuring how meeting rooms, collaboration areas, focus rooms and individual work settings are being used.
• Portfolio-level performance: comparing utilisation across locations to identify consolidation or investment opportunities.
  
  

Rather than relying on a single data source, organisations increasingly combine badge access data, Wi-Fi analytics, booking systems, occupancy sensors and HR workforce information to build a more complete picture of workplace demand.

As organisations prepare for AI-enabled occupancy planning, high-quality utilisation data has become a strategic asset. JLL benchmark shows that 72% of organisations now prioritise improving space data accuracy, recognising that reliable data underpins better forecasting, automation and portfolio decisions.

Corporate real estate priorities have shifted from managing costs to improving portfolio performance through better data, workplace intelligence and strategic decision-making.

According to JLL's 2026 Occupancy Planning Benchmark Report, portfolio optimisation is now the leading priority for 75% of organisations, followed by improving space data accuracy (72%), reflecting the growing recognition that high-quality occupancy data is essential for AI-enabled workplace strategies and better business decisions.

The leading priorities include:

• Portfolio optimisation: aligning workplace supply with changing business demand while improving portfolio efficiency.
• Improving space data accuracy: strengthening data governance to support AI, analytics and informed decision-making.
• Increasing the use of utilisation data: moving from descriptive reporting to predictive portfolio planning.
• Enhancing reporting and business intelligence: providing leadership with actionable workplace insights.
• Improving headcount forecasting: aligning workplace investments with future organisational growth.
• Supporting hybrid workplace programmes: ensuring workplaces remain adaptable as work patterns continue to evolve.
  
  

India is seeing similar priorities, particularly among large enterprises managing multi-city portfolios. Organisations increasingly expect occupancy planning teams to provide business intelligence rather than simply maintain space records.

AI, ML and automation intervention in Occupancy Management demonstrate this shift by providing a consolidated view of portfolio performance across occupancy, workplace utilisation, lease exposure, operational efficiency and energy performance enabling leadership teams to make faster, data-driven portfolio decisions while reducing operational risk.

Hybrid work has fundamentally changed occupancy planning by shifting workplace demand from predictable, static occupancy to dynamic patterns that vary by day, business function and location. As a result, occupancy planning is no longer a periodic workplace exercise—it has become a continuous business planning capability.

Across APAC, 78% of employees now attend the office between three and five days each week, demonstrating that while office attendance has strengthened, workplace demand remains uneven across the working week. Organisations therefore need workplaces that can flex with changing attendance patterns rather than relying on fixed seating allocations.

This shift is driving several structural changes:

• Greater adoption of shared neighbourhoods and activity-based workplaces.
• Increased investment in collaboration spaces alongside individual work settings.
• Higher reliance on occupancy analytics to understand actual workplace demand.
• More frequent workplace reconfiguration based on evolving business requirements.
• Continuous portfolio reviews supported by utilisation and occupancy insights.
  
  

For many organisations in India, particularly those operating large campuses and GCC portfolios, occupancy planning now supports decisions well beyond workplace allocation. It informs lease strategy, capital investment, sustainability initiatives, workforce planning and employee experience.

Low Carbon Friday, a programme piloted by JLL at a client location in India, illustrates this evolution. By analysing attendance patterns and identifying Fridays as consistently lower occupancy days, clients can selectively reduce building operations without compromising employee experience, delivering measurable operational efficiencies while supporting sustainability objectives.

As hybrid work continues to mature, occupancy planning is becoming an enterprise capability that connects workplace strategy, operational performance and business growth.

There is no single benchmark for space allocation or seat-sharing that applies across every organisation. Appropriate workplace standards depend on industry, business function, workplace culture, regulatory requirements and the maturity of hybrid working.

Rather than applying generic density targets, leading organisations benchmark workplace performance using a combination of utilisation, occupancy and business outcomes.

Organisations in APAC maintain the most aggressive seat-sharing targets globally, with a target ratio of 1.56 employees per seat. However, the actual average seat-sharing ratio currently stands at 1.34, highlighting an opportunity to further optimise space allocation.

APAC office utilisation averages 61%, approaching pre-pandemic levels of 65%. The region maintains the narrowest utilisation gap globally (13 percentage points against the 74% target). When establishing workplace benchmarks, organisations typically evaluate:

• Space allocation by employee role and business function.
• Seat-sharing ratios appropriate to hybrid attendance patterns.
• Utilisation by workplace type, including individual workspaces, collaboration areas and meeting spaces.
• Peak attendance across locations and days of the week.
• Business-specific operational requirements such as laboratories, engineering environments or secure workspaces.
  
  

For organisations operating across India, workplace benchmarking increasingly combines occupancy analytics with business intelligence to determine the right workplace mix rather than pursuing density targets alone.

JLL's occupancy planning approach supports this through continuous benchmarking, scenario planning and predictive analytics, helping organisations align workplace investments with future workforce demand while improving operational efficiency.

As AI adoption increases, benchmarking will continue to evolve from historical reporting towards predictive recommendations. However, the quality of those recommendations will depend on reliable, governed occupancy data—one of the reasons 72% of APAC organisations now prioritise improving space data accuracy as part of their occupancy planning strategy.

For several clients in India, JLL has observed what it refers to as the "Tuesday-Wednesday-Thursday (TWT) Phenomenon."

Workplace demand typically builds through Tuesday, remains consistently high on Wednesday and reaches its peak on Thursday, while Mondays and Fridays experience significantly lower attendance. Rather than designing workplaces around average occupancy, this understanding enables organisations to plan for peak demand while optimising services, collaboration spaces and operational resources during leaner days.

Attendance fluctuation: With 72% of APAC companies mandating in-office days and attendance concentrated mid-week, dedicated desks leave substantial footprint unused for portions of the week.

• Demand for varied workspaces: Employees seek task-appropriate environments when visiting the office. In response, APAC occupiers are shifting space from private offices to shared workstations, collaboration spaces, focus rooms, and phone booths.
• AI-assisted workplace design: Modern workplace tools accelerate spatial transitions. JLL utilises laiout, an AI-driven layout generator that converts spatial constraints and headcount rules into optimised test-fit options in minutes.
• Dynamic visual stacking: Visual drag-and-drop scenario modelling, reducing scenario generation time by up to 46% and simplifying complex restacking efforts across large campuses.
  
  

Finally, employee expectations continue to evolve. Rather than expecting a permanently assigned desk, employees increasingly value the concept of “Give-up your desk and own the office” where they access to a variety of workplace settings that support focused work, collaboration, learning and social interaction.

In prime Indian business districts (like Bandra-Kurla Complex in Mumbai, Outer Ring Road in Bengaluru, or Cyber City in Gurugram), real estate represents one of the largest fixed operating expenses on the balance sheet. Running underutilised office buildings carries a high financial drag.

The cost of underutilised office space extends far beyond rent. Every underused workplace continues to incur operating costs, consumes energy, ties up capital and limits an organisation's ability to respond quickly to changing business needs.

For many organisations, this gap represents a significant opportunity to improve utilisation before considering additional space or major capital investments.

The financial impact of underutilisation typically includes:

• Higher operating costs: building services such as HVAC, lighting, cleaning and security continue regardless of daily occupancy levels.
• Inefficient capital allocation: excess space increases occupancy costs while limiting investment in workplace transformation, technology or business growth.
• Reduced portfolio agility: poorly utilised space can delay consolidation opportunities, lease optimisation and expansion decisions.
• Higher energy consumption: operating buildings below optimal occupancy increases energy intensity per employee and can slow progress towards sustainability targets.
  
  

For corporates across India, occupancy analytics are increasingly supporting operational as well as financial decisions. Rather than focusing solely on reducing footprint, leading organisations are using occupancy planning to maximise the value of every square foot by aligning workplace supply with actual business demand.

Rather than managing space in isolation, leading organisations use occupancy intelligence to support broader business planning.

At its core, occupancy planning helps organisations answer fundamental business questions: Where should we invest? Which locations should grow? Which workplaces need redesign? How can the portfolio better support future business requirements?

This enables corporate real estate teams to contribute directly to enterprise priorities by:

• Supporting business growth through proactive capacity planning and workforce forecasting.
• Improving capital efficiency by aligning workplace investment with actual business demand rather than historical allocation.
• Enhancing employee experience by creating workplaces that reflect how employees collaborate and use space.
• Reducing operational risk through data-driven portfolio decisions during organisational change, expansion or consolidation.
• Supporting sustainability objectives by improving workplace efficiency and reducing unnecessary operational demand.
  
  

This strategic role is reflected in JLL's 2026 Occupancy Planning Benchmark Report, where 75% of organisations identify portfolio optimisation as their highest corporate real estate priority, while 72% are focused on improving space data accuracy to support better decision-making and future AI adoption.

As occupancy planning becomes increasingly data-driven, corporate real estate leaders are moving beyond reporting historical utilisation to providing forward-looking insights that influence business, financial and workplace strategy.

JLL’s occupancy planning methodology combines structured data governance, an enterprise analytics tech stack, and benchmarking data across 103 million sq. ft. in APAC.

• Multi-source telemetry ingestion: JLL integrates badge swipes, Wi-Fi device density (Lambent / Occuspace), desk reservations, and HR headcount feeds to eliminate single-source measurement errors.
• Enterprise data governance (JLL Lighthouse): Automated data cleansing resolves CAD, floorplan, and space assignment errors before analytics are presented to executive leadership.
• Advanced analytics & machine learning (JLL Azara): Raw utilisation data is processed through JLL Azara, applying machine learning algorithms to uncover utilisation trends, departmental peak behaviours, and space allocation inefficiencies.
• Regional benchmark calibration: Utilisation data is benchmarked directly against JLL’s proprietary APAC dataset (103M sq. ft. across 34 enterprise organisations).
• Automated scenario modelling & scoring: AI tools like laiout generate automated floor layout options, while ACES provides ongoing campus health scoring to guide executive portfolio decisions.
  

JLL’s occupancy planning practice is built on four core capabilities which distinguish JLL's approach.

• Evidence-led decision making: JLL's recommendations are informed by one of the industry's largest occupancy planning benchmark programmes. The 2026 APAC Occupancy Planning Benchmark Report draws insights from 103 million square feet of corporate real estate across Australia, China and India, enabling clients to compare their portfolio performance against regional market trends.
• Technology-enabled, not technology-dependent: JLL works within clients' existing technology environments while integrating occupancy analytics, workplace management platforms, data governance and AI capabilities where they deliver measurable business value. This enables organisations to build solutions that support their operating model rather than adopting technology for its own sake.
• Integrated delivery across the real estate lifecycle: Occupancy planning is connected with workplace strategy, portfolio optimisation, facilities management, sustainability, leasing and workplace experience. This ensures occupancy insights inform broader business decisions rather than remaining isolated within workplace reporting.
  
  

As organisations continue to invest in AI and digital transformation, the differentiator is no longer access to data alone, it is the ability to convert trusted data into actionable decisions. JLL's integrated approach helps clients achieve that by combining occupancy expertise, technology and strategic advisory into a single decision-making framework.