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Evolving work patterns in the post-pandemic era, employees’ demands for a better workplace experience, the large regional supply pipeline and high vacancy, and the urgent need to enhance older properties to maintain their competitiveness are just a few of the factors converging to drive a new era of office innovation in Asia Pacific.

Supported and enabled by the latest technology, landlords and investors are striving to enhance tenants’ experience at every stage of their employees’ day; from the commute, to the work environment, and to the leisure offering.

Our latest report explains how innovation can drive these improvements via three pillars of office innovation:

  • Implementing a Human-centric approach
  • Introducing Physical enhancements
  • Embracing Digital integration
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Singapore’s flexible workspace market has matured into a dynamic and diverse ecosystem, offering a broad range of solutions—from on-demand access for startups to fully managed suites for enterprises. This evolution reflects both the rising sophistication of occupier needs and the agility of operators in responding to them.

Today, with about 5% market penetration rate, the flex workspace market features a healthy mix of brand positions, ranging from premium hospitality-driven environments to value-oriented, efficiency-focused models. Our findings show that the top 10 brands (by market size) now command 80% of the market, with varied pricing and positioning offerings to meet the needs of businesses across all sizes and sectors. This ensures that companies can find workspaces aligned with their identity, culture, and operational goals.

Notably, flex space is increasingly integrated into asset strategies, with landlords and operators collaborating to enhance both building value and tenant experience. As the market continues to evolve, innovation and adaptability will be key to shaping the future of work. This report further explores what occupiers seek and how landlords and operators can continue to strengthen the value proposition of flexible workplaces in Singapore.

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Please find below the rebalancing results (effective 23 June 2025 start of trading) for the:

  • GPR/APREA Investable 100 Index
  • GPR/APREA Investable REIT 100 Index
  • GPR/APREA Composite Index
  • GPR/APREA Composite REIT Index (indicated with an asterisk)

GPR/APREA Investable 100 Index

INCLUSIONS

AUS DigiCo Infrastructure REIT
CHN Kerry Properties Ltd.
CHN SUNeVision Holdings Ltd.
JPN  MIRARTH HOLDINGS INC
JPN  Mori Hills REIT


EXCLUSIONS

JPN AEON REIT Investment Corp
MYS Mah Sing Group Bhd
MYS SP Setia Bhd
THA Sansiri PCL
TWN Cathay Real Estate Development Co Ltd

 

GPR/APREA Investable REIT 100 Index

INCLUSIONS

AUS Abacus Storage King
AUS DigiCo Infrastructure REIT
NZL AREIT Inc


EXCLUSIONS

KOR Shinhan Alpha REIT Co. Ltd.
SGP Prime US REIT

 

GPR/APREA Composite Index

INCLUSIONS

AUS Eureka Group Holdings Ltd
CHN Country Garden Holdings Co
CHN Minmetals Land Ltd
CHN SUNeVision Holdings Ltd.

 

EXCLUSIONS

CHN LVGEM China Real Estate Investment Co Ltd
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The Asia Pacific data centre sector has undergone a significant transformation in recent years, evolving from what was formerly regarded as a mere piece of infrastructure to a highly sought-after real estate asset at the cutting edge of technology.

The Artificial Intelligence (AI) and cloud services boom is driving robust demand for both colocation and hyperscale data centres across Asia Pacific, stirring interest from real estate investors keen to capitalise on this rapid expansion.

This report explores the key data centre investment trends, opportunities and outlook for the sector in Asia Pacific, and offers insights into the data centre occupier and investment markets in Australia, Hong Kong SAR, India, Japan, Korea, Mainland China, Singapore and Southeast Asia.

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The rapid growth of artificial intelligence (AI) and cloud computing is driving unprecedented demand for data centres across Asia Pacific. Despite expectations that data centre supply will double by 2028, the region still faces a shortfall of 15–25 gigawatts, primarily due to limited power availability and a shortage of AI-ready infrastructure.

AI workloads require over twice the power density of traditional setups, necessitating upgrades in cooling, floor load, latency, and bandwidth. Many current and planned facilities are not equipped to meet these new technical standards.

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