Qualitative and quantitative insights were obtained by interviewing supply-side and demand-side stakeholders during the primary research process. The supply-side sources consisted of CEOs, Chief Operating Officers, VP of Logistics, leaders of last-mile delivery operations, and heads of merchant partnerships from quick commerce platforms, dark store operators, micro-fulfillment center providers, and grocery retail chains. Operational managers from third-party logistics (3PL) providers, supply chain administrators from FMCG companies, urban logistics planners, and procurement managers from restaurant chains and retail outlets comprised demand-side sources. Market segmentation was validated across product categories (groceries, pharmaceuticals, electronics, fashion, home essentials) through primary research. Additionally, dark store expansion timelines were confirmed, and insights regarding delivery fleet optimization strategies, unit economics models, customer acquisition costs, and technology stack investments were obtained.
Primary Respondent Breakdown:
By Designation: C-level Primaries (28%), Director Level (32%), Others (40%)
By Region: North America (32%), Europe (29%), Asia-Pacific (33%), Rest of World (6%)
Global market valuation was derived through revenue mapping and transaction volume analysis. The methodology included:
Identification of 60+ key quick commerce platforms and dark store operators across North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa
Product mapping across groceries, pharmaceuticals, electronics, fashion, and home essentials categories
Analysis of reported and modeled annual revenues specific to quick commerce operations, excluding traditional e-commerce and standard delivery services
Coverage of platforms representing 75-80% of global market share in 2024
Extrapolation using bottom-up (order volume × average order value × take rate by country/region) and top-down (platform revenue validation, venture capital funding analysis, and dark store network density modeling) approaches to derive segment-specific valuations