WAREHOUSING & LOGISTICS REAL ESTATE

Warehousing & Logistics Real Estate Study

Real estate heads, supply chain directors, and logistics network planners evaluate lease structures, location trade-offs, and facility specifications across industrial corridors, so you can sharpen site acquisition strategy, benchmark occupancy costs, and fix positioning against competing asset classes.

Pan-India sample
Logistics occupiers (Real Estate & Network Heads)
15-20 min
Talk to a Survey Consultant
Lease conversion & site drop-offsIdentify where occupiers stall, switch sites, or abandon lease negotiations.
Location drivers & cost trade-offsBenchmark facility size, connectivity, and rental thresholds across industrial corridors.
TRUSTED BY LEADING BRANDS
Brand 0Brand 1Brand 2Brand 3Brand 4Brand 5Brand 6Brand 7Brand 8Brand 9Brand 10Brand 11Brand 12Brand 13Brand 14Brand 15Brand 16Brand 17Brand 18Brand 19Brand 20Brand 21Brand 22Brand 23Brand 24Brand 25Brand 26Brand 27Brand 28Brand 29Brand 30Brand 31

CONTEXT & RELEVANCE

Why run this survey now

Most logistics real estate teams don't lose lease negotiations purely on rental rates. They lose ground due to misread occupier demand signals, mispriced grade-A versus grade-B positioning, weak last-mile catchment data, untracked cold-chain absorption trends, and shifting 3PL consolidation patterns, none of which fully show up in vacancy reports or broker transaction logs.

If you are...

  • Logistics park developer or REIT

  • 3PL network planning lead

  • Industrial real estate fund manager

  • Head of supply chain infrastructure

  • Corporate real estate portfolio director

You're likely facing...

  • Grade-A vs grade-B absorption gap

  • Cold-chain demand: unquantified vs projected

  • 3PL consolidation vs multi-node tension

  • Last-mile site selection misalignment

  • Lease renewal risk: occupier churn signals

This will help answer...

  • Occupier preference drivers beyond rent

  • Lease drop-off and vacancy triggers

  • Segment split: 3PL vs captive occupier

  • Rental tolerance by warehouse grade

  • Renewal risk and relocation intent

RESEARCH THEMES

What This Survey Investigates

Eight interconnected research themes that map the complete logistics real estate journey from site selection to lease renewal.

TENETS 01

Site Selection Drivers

  • Location criteria, proximity trade-offs
  • Last-mile vs. bulk storage split
TENETS 02

Demand & Absorption

  • Leasing velocity by micro-market
  • Occupier segment, warehouse grade
TENETS 03

Rental Benchmarks

  • Quoted vs. effective rent gap
  • Rent escalation clauses, review cycles
TENETS 04

Grade & Spec Gaps

  • Grade A supply shortfall by city
  • Spec mismatches, fit-out expectations
TENETS 05

Developer & Supply

  • Institutional vs. fragmented developer share
  • Pipeline completions, delivery timelines
TENETS 06

Lease Friction

  • Negotiation bottlenecks, deal timelines
  • Exit clauses, lock-in period disputes
TENETS 07

ESG & Compliance

  • Green certification adoption, retrofit costs
  • Occupier ESG mandates, reporting obligations
TENETS 08

Investment & Yield

  • Cap rate expectations, yield compression trends
  • Investor appetite, REIT monetisation readiness
Request a scope validation call

SAMPLING STRATEGY

Tell us about your ideal sample

Help us understand your target respondent profile. Select what applies, we'll design the optimal sample plan based on your inputs.

Sample size
How many respondents do you need?
Not Selected
Target audience
Who should we survey?
Not Selected
Region
Which regions should we cover?
Not Selected
Segments
How should we slice the data?
Not Selected
Discuss sample plan

METHODOLOGY

Survey approach

For the Warehousing and Logistics Real Estate Study, we recommend a quant-first design with flexible data-collection modes to balance reach, depth, and verification across occupier, developer, and investor segments.

PRIMARY
Online web surveySelf-administered survey shared via email / panels to capture structured responses at scale.
Best for
1
Ranking lease drivers across Grade A and Grade B stock
2
Benchmarking occupancy costs by logistics corridor
3
Comparing expansion intent by occupier segment and region
Deliverables
Lease driver rankings
Corridor cost benchmarks
Occupier intent matrix
OPTIONAL
CATI (phone survey)Interviewer-led telephone interviews to reach owners who are harder to get online.
Best for
1
Smaller 3PL operators with low digital engagement
2
Quick pulse across Tier 2 and Tier 3 logistics nodes
Deliverables
Tier 2 coverage data
Call-log diagnostics
SELECTIVE
Face-to-faceOn-ground surveys or interviews in key industrial clusters or high-value cohorts.
Best for
1
Large-format occupiers negotiating multi-site lease portfolios
2
Developer and REIT decision-makers in primary industrial parks
Deliverables
Cluster site insights
Lease negotiation maps
OPTIONAL
FGDs
Deliverables
Themes and verbatims
Spec concept feedback
OPTIONAL
Mixed surveysAny 4-mode combo Online + CATI + F2F + FGDs to maximise reach and representation. Mode-specific quotas and weighting for clean comparisons.
Deliverables
Unified dataset
Mode-adjusted analytics
Our Recommendation
Start with: Online web survey as the core quant layer, covering occupiers, developers, and logistics operators across primary and secondary corridors.
Consider adding: CATI for Tier 2 and Tier 3 nodes with low panel penetration, and F2F for large-format occupiers and REIT-backed developer cohorts requiring lease-level verification.
Confirm approach
Request timeline

EXECUTION PROCESS

How we execute

A proven 9-step process from scoping to delivery, designed to ensure quality, speed, and actionable insights.

Define the decision frame

Confirm objectives, target cohorts, geographies, and reporting cuts

Step 01

Define the decision frame

Design the instrument

Build workstream modules mapped to outputs (drivers, friction, pricing, retention, trust)

Step 02

Design the instrument

Lock the questionnaire

Review wording, sequencing, LOI, and competitive context; approve final version

Step 03

Lock the questionnaire

Pilot and calibrate

Test comprehension and ease quality; refine quotas and remove friction where needed

Step 04

Pilot and calibrate

Run fieldwork

Execute collection with active quota management and feasibility controls

Step 05

Run fieldwork

Assure quality

Dedupe, attention checks, speed/consistency rules, removals with audit trail

Step 06

Assure quality

Prepare the dataset

Clean data and deliver codebook/variable definitions

Step 07

Prepare the dataset

Analyse and synthesise

Driver ranking, leakage diagnostics, pricing bands, segment insights

Step 08

Analyse and synthesise

Deliver and align

Executive deck (optional dashboard) and leadership readout with recommendations

Step 09

Deliver and align

COMMERCIAL TERMS

Request a Commercial Proposal

Pricing depends on cohort, geography, sample size, approach, LOI, and deliverables. Configure below for an indicative estimate.

Select Sample Size

100

Geography

  • India
  • APAC (Singapore, Vietnam, Philippines, Indonesia, Australia, NZ, Japan, Thailand)
  • Middle East (UAE, KSA, Qatar, Bahrain, Oman, Kuwait)
  • North America (US, Canada)
  • Europe
  • Africa (South Africa, Kenya, Nigeria, Egypt, Algeria)
  • LATAM (Brazil, Mexico)

Select Mode of Survey

  • Online
  • CATI
  • Online FGD (5 people per FGD)
  • F2F

Length of the Interview

  • Select
  • 0-15
  • 16-20
  • 21-30
  • 31-45
  • 46-60
  • Custom
Indicative Estimate
  • Indian Rupee (INR)
  • United Arab Emirates Dirham (AED)
  • Afghan Afghani (AFN)
  • Albanian Lek (ALL)
  • Armenian Dram (AMD)
  • Netherlands Antillean Guilder (ANG)
  • Angolan Kwanza (AOA)
  • Argentine Peso (ARS)
  • Australian Dollar (AUD)
  • Aruban Florin (AWG)
  • Azerbaijani Manat (AZN)
  • Bosnia-Herzegovina Convertible Mark (BAM)
  • Barbadian Dollar (BBD)
  • Bangladeshi Taka (BDT)
  • Bulgarian Lev (BGN)
  • Bahraini Dinar (BHD)
  • Burundian Franc (BIF)
  • Bermudian Dollar (BMD)
  • Brunei Dollar (BND)
  • Bolivian Boliviano (BOB)
  • Brazilian Real (BRL)
  • Bahamian Dollar (BSD)
  • Bhutanese Ngultrum (BTN)
  • Botswana Pula (BWP)
  • Belarusian Ruble (BYN)
  • Belize Dollar (BZD)
  • Canadian Dollar (CAD)
  • Congolese Franc (CDF)
  • Swiss Franc (CHF)
  • Chilean Peso (CLP)
  • Chinese Yuan (CNY)
  • Colombian Peso (COP)
  • Costa Rican Colón (CRC)
  • Cuban Peso (CUP)
  • Cape Verdean Escudo (CVE)
  • Czech Koruna (CZK)
  • Djiboutian Franc (DJF)
  • Danish Krone (DKK)
  • Dominican Peso (DOP)
  • Algerian Dinar (DZD)
  • Egyptian Pound (EGP)
  • Eritrean Nakfa (ERN)
  • Ethiopian Birr (ETB)
  • Euro (EUR)
  • Fijian Dollar (FJD)
  • Falkland Islands Pound (FKP)
  • British Pound (GBP)
  • Georgian Lari (GEL)
  • Ghanaian Cedi (GHS)
  • Gibraltar Pound (GIP)
  • Gambian Dalasi (GMD)
  • Guinean Franc (GNF)
  • Guatemalan Quetzal (GTQ)
  • Guyanese Dollar (GYD)
  • Hong Kong Dollar (HKD)
  • Honduran Lempira (HNL)
  • Croatian Kuna (HRK)
  • Haitian Gourde (HTG)
  • Hungarian Forint (HUF)
  • Indonesian Rupiah (IDR)
  • Israeli New Shekel (ILS)
  • Iraqi Dinar (IQD)
  • Iranian Rial (IRR)
  • Icelandic Króna (ISK)
  • Jamaican Dollar (JMD)
  • Jordanian Dinar (JOD)
  • Japanese Yen (JPY)
  • Kenyan Shilling (KES)
  • Kyrgyzstani Som (KGS)
  • Cambodian Riel (KHR)
  • Comorian Franc (KMF)
  • South Korean Won (KRW)
  • Kuwaiti Dinar (KWD)
  • Cayman Islands Dollar (KYD)
  • Kazakhstani Tenge (KZT)
  • Lao Kip (LAK)
  • Lebanese Pound (LBP)
  • Sri Lankan Rupee (LKR)
  • Liberian Dollar (LRD)
  • Lesotho Loti (LSL)
  • Libyan Dinar (LYD)
  • Moroccan Dirham (MAD)
  • Moldovan Leu (MDL)
  • Malagasy Ariary (MGA)
  • Macedonian Denar (MKD)
  • Burmese Kyat (MMK)
  • Mongolian Tögrög (MNT)
  • Macanese Pataca (MOP)
  • Mauritian Rupee (MUR)
  • Maldivian Rufiyaa (MVR)
  • Malawian Kwacha (MWK)
  • Mexican Peso (MXN)
  • Malaysian Ringgit (MYR)
  • Mozambican Metical (MZN)
  • Namibian Dollar (NAD)
  • Nigerian Naira (NGN)
  • Nicaraguan Córdoba (NIO)
  • Norwegian Krone (NOK)
  • Nepalese Rupee (NPR)
  • New Zealand Dollar (NZD)
  • Omani Rial (OMR)
  • Panamanian Balboa (PAB)
  • Peruvian Sol (PEN)
  • Papua New Guinean Kina (PGK)
  • Philippine Peso (PHP)
  • Pakistani Rupee (PKR)
  • Polish Złoty (PLN)
  • Paraguayan Guaraní (PYG)
  • Qatari Riyal (QAR)
  • Romanian Leu (RON)
  • Serbian Dinar (RSD)
  • Russian Ruble (RUB)
  • Rwandan Franc (RWF)
  • Saudi Riyal (SAR)
  • Solomon Islands Dollar (SBD)
  • Seychellois Rupee (SCR)
  • Sudanese Pound (SDG)
  • Swedish Krona (SEK)
  • Singapore Dollar (SGD)
  • Saint Helena Pound (SHP)
  • Sierra Leonean Leone (SLL)
  • Somali Shilling (SOS)
  • Surinamese Dollar (SRD)
  • São Tomé and Príncipe Dobra (STD)
  • Syrian Pound (SYP)
  • Swazi Lilangeni (SZL)
  • Thai Baht (THB)
  • Tajikistani Somoni (TJS)
  • Turkmenistani Manat (TMT)
  • Tunisian Dinar (TND)
  • Tongan Paʻanga (TOP)
  • Turkish Lira (TRY)
  • Trinidad and Tobago Dollar (TTD)
  • New Taiwan Dollar (TWD)
  • Tanzanian Shilling (TZS)
  • Ukrainian Hryvnia (UAH)
  • Ugandan Shilling (UGX)
  • United States Dollar (USD)
  • Uruguayan Peso (UYU)
  • Uzbekistani Som (UZS)
  • Vietnamese Đồng (VND)
  • Vanuatu Vatu (VUV)
  • Samoan Tālā (WST)
  • Central African CFA Franc (XAF)
  • East Caribbean Dollar (XCD)
  • West African CFA franc (XOF)
  • CFP Franc (XPF)
  • Yemeni Rial (YER)
  • South African Rand (ZAR)
  • Zambian Kwacha (ZMW)
  • Zimbabwean Dollar (ZWL)

$0.00

+ applicable taxes

Proposal turnaround typically 24–48 hours

Note: Estimate is indicative only. Final pricing is subject to scope finalization after discovery call.

REFERENCE CASELETS

Reference

Real-world examples of survey work in the warehousing and logistics real estate space.

CASELET 1

Cold chain facility demand signals & tenant preference mapping (India)

CASELET 2

Last-mile fulfillment hub site selection friction & leasing barriers (West India)

Cold chain facility demand signals & tenant preference mapping (India)

OBJECTIVE

A pan-India logistics park developer needed to quantify demand signals across temperature-controlled and ambient warehousing segments, and map how FMCG, pharma, and e-commerce tenants prioritise location, lease structure, and facility specifications when shortlisting sites.

WHAT WE DID

Ran a structured quant survey across 180 supply chain and procurement decision-makers in 6 cities, capturing facility shortlisting criteria, lease tenure preferences, dock-door ratios, floor-load requirements, and willingness to pay across three warehouse grade tiers.

DELIVERED

A tenant preference map by sector and city cluster, a specification priority index ranking 14 facility attributes, a pricing corridor by warehouse grade, and a segment framework separating first-time leaseholders from multi-site occupiers by decision criteria.
Talk to Survey Consultant
CASELET 1

Cold chain facility demand signals & tenant preference mapping (India)

CASELET 2

Last-mile fulfillment hub site selection friction & leasing barriers (West India)

Cold chain facility demand signals & tenant preference mapping (India)

OBJECTIVE

A pan-India logistics park developer needed to quantify demand signals across temperature-controlled and ambient warehousing segments, and map how FMCG, pharma, and e-commerce tenants prioritise location, lease structure, and facility specifications when shortlisting sites.

WHAT WE DID

Ran a structured quant survey across 180 supply chain and procurement decision-makers in 6 cities, capturing facility shortlisting criteria, lease tenure preferences, dock-door ratios, floor-load requirements, and willingness to pay across three warehouse grade tiers.

DELIVERED

A tenant preference map by sector and city cluster, a specification priority index ranking 14 facility attributes, a pricing corridor by warehouse grade, and a segment framework separating first-time leaseholders from multi-site occupiers by decision criteria.

FREQUENTLY ASKED QUESTIONS

Common Questions

Answers to frequently asked questions about this survey mandate.

What decisions will this survey enable?

Who is the buyer vs who are the respondents?

Can we see differences between Grade A multi-user facilities, built-to-suit campuses and cold chain or temperature-controlled assets?

How will you measure location and site selection preference beyond simple ratings?

Will the survey map the full warehouse leasing and procurement journey and drop-offs?

Can this survey inform product and pricing strategy?

How will findings improve our leasing velocity and portfolio absorption rate?

Still have questions?

Schedule a discovery call to discuss your specific needs and get a custom quote.

Book a Discovery Call