하이퍼로컬 물류 플랫폼 시장 : 예측(-2032년) - 서비스 유형별, 차종별, 전개 형태별, 최종사용자별, 지역별 분석

According to Stratistics MRC, the Global Hyperlocal Logistics Platforms Market is accounted for $2.7 billion in 2025 and is expected to reach $6.8 billion by 2032 growing at a CAGR of 14% during the forecast period. Hyperlocal logistics platforms are technology-enabled services that manage the delivery of goods and services within a very confined geographic area, often a few miles or within the same city. They connect local merchants with nearby consumers, facilitating rapid delivery-sometimes in under an hour-of items like food, groceries, and pharmaceuticals. These platforms optimize delivery routes using mobile apps and a network of local couriers, meeting the demand for immediate convenience in urban centers.

According to the World Economic Forum, hyperlocal delivery models are reshaping urban logistics by reducing last-mile emissions and improving real-time responsiveness for food, pharma, and retail sectors.

Market Dynamics:

Driver:

Growing quick-commerce demand

The rapid rise of quick-commerce models delivering groceries and essentials within minutes has significantly fueled the growth of hyperlocal logistics platforms. Consumers now prioritize convenience, immediacy, and real-time order tracking, pushing logistics providers to enhance last-mile capabilities. Spurred by smartphone penetration and urban digital ecosystems, demand for same-hour delivery services continues to soar. Additionally, the surge in local vendor integration and the proliferation of app-based delivery aggregators have amplified platform adoption across both developed and emerging markets.

Restraint:

High operational and fuel costs

High operating expenses, including escalating fuel prices and labor costs, pose a substantial challenge to hyperlocal logistics profitability. Maintaining short delivery times requires frequent fleet dispatches and efficient route optimization, increasing operational burdens. Moreover, fluctuating energy costs and inadequate cost-sharing models with partner stores exacerbate margin pressures. Urban congestion and limited parking availability further reduce efficiency, making scalability complex. Consequently, these cumulative financial constraints hinder the sustained expansion and pricing flexibility of hyperlocal delivery platforms.

Opportunity:

Partnerships with e-commerce platforms

Strategic collaborations with established e-commerce platforms offer major growth opportunities for hyperlocal logistics providers. By integrating delivery infrastructure with major retail networks, players can expand service reach and improve delivery reliability. These partnerships facilitate shared data insights, route optimization, and order synchronization to enhance consumer satisfaction. Furthermore, co-branded delivery models and cloud-based logistics management strengthen visibility and brand equity. As omnichannel retail accelerates, such alliances are crucial for scaling hyperlocal networks across multiple product categories and geographies.

Threat:

Regulatory hurdles in urban areas

Complex and evolving municipal regulations surrounding last-mile delivery operations threaten to disrupt hyperlocal logistics expansion. Restrictions on delivery vehicle access in congested city zones, emission standards, and noise control measures increase compliance complexity. Additionally, inconsistent licensing policies across urban jurisdictions create operational inefficiencies. Labor classification debates for gig workers and data privacy laws add further uncertainty. Consequently, navigating these regulatory frameworks becomes critical for ensuring sustainable operations while maintaining compliance in competitive metropolitan logistics ecosystems.

Covid-19 Impact:

The pandemic accelerated the adoption of hyperlocal logistics platforms as lockdowns spurred surging demand for contactless delivery. Grocery, pharmacy, and restaurant sectors relied heavily on local delivery networks for business continuity. Although supply chain disruptions initially challenged capacity, platforms rapidly digitalized operations and expanded gig fleets to meet soaring orders. Post-pandemic, sustained consumer preference for convenience-driven, doorstep services continues to bolster growth. The health crisis ultimately transformed hyperlocal logistics from a niche service to an essential retail infrastructure component.

The delivery segment is expected to be the largest during the forecast period

The delivery segment is expected to account for the largest market share during the forecast period, owing to the increasing demand for fast and reliable last-mile delivery across diverse product categories. Retailers, restaurants, and pharmacies are increasingly adopting hyperlocal delivery solutions to improve customer retention. Spurred by real-time tracking and digital payment integration, this segment dominates revenue generation. Continuous platform innovation and the rise of subscription-based delivery models further solidify its position as the core operational category.

The two-wheeler segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the two-wheeler segment is predicted to witness the highest growth rate, reinforced by its flexibility, cost-efficiency, and suitability for dense urban delivery networks. Motorbikes and e-scooters allow quicker navigation through traffic and lower maintenance costs compared to four-wheelers. The growing adoption of electric two-wheelers for sustainable last-mile logistics further enhances their appeal. Additionally, partnerships with EV startups and shared mobility providers are enabling environmentally conscious, faster, and more agile hyperlocal delivery operations worldwide.

Region with largest share:

During the forecast period, the Asia Pacific region is expected to hold the largest market share, ascribed to its massive urban population, growing e-commerce ecosystem, and strong smartphone penetration. Countries like India, China, and Indonesia are witnessing an upsurge in app-based food, grocery, and parcel delivery demand. The expansion of digital wallets and local logistics startups further supports this dominance. Moreover, regional governments' digital economy initiatives and investments in smart urban infrastructure amplify hyperlocal logistics adoption across major metropolitan clusters.

Region with highest CAGR:

Over the forecast period, the North America region is anticipated to exhibit the highest CAGR associated with the rapid evolution of on-demand delivery ecosystems and advanced logistics technology integration. Consumers increasingly prefer same-day or instant delivery, pushing companies to innovate with predictive analytics and AI-based route optimization. The proliferation of gig economy platforms and hyperlocal retail partnerships further drive momentum. Additionally, strong investment inflows in last-mile automation and sustainable vehicle fleets are propelling market expansion across U.S. and Canada.

Key players in the market

Some of the key players in Hyperlocal Logistics Platforms Market include Zomato, Swiggy, Dunzo, ShipBob, Lalamove, Getir, Glovo, Gorillas, Instacart, Gopuff, Just Eat Takeaway.com, Rappi, Postmates, Uber Eats, DoorDash, and Delivery Hero.

Key Developments:

In September 2025, Gopuff launched its "Gopuff Micro-Fulfillment" initiative, deploying AI-powered, compact automated dark stores in high-density apartment complexes and office parks. The system promises delivery of over 3,000 items in under 5 minutes to residents and workers within the same building.

In August 2025, DoorDash announced the expansion of its "DashCorps" service, a B2B hyperlocal logistics platform that enables small businesses to offer same-day delivery to their customers by leveraging the Dasher network for non-food items, from electronics to pharmaceuticals.

In July 2025, Zomato integrated its quick-commerce arm, Blinkit, with its food delivery app to launch "Zomato Shops." This feature allows users to order both restaurant meals and groceries from a dark store in a single transaction, with a unified delivery promise.

Service Types Covered:

• Delivery
• Pickup
• Courier
• E-Commerce
• Grocery

Vehicle Types Covered:

• Two-Wheeler
• Three-Wheeler
• Four-Wheeler
• Drones

Deployments Covered:

• Web-Based
• App-Based

End Users Covered:

• Retailers
• Restaurants
• Individuals
• Pharmacies

Regions Covered:

• North America
  • US
  • Canada
  • Mexico
• Europe
  • Germany
  • UK
  • Italy
  • France
  • Spain
  • Rest of Europe
• Asia Pacific
  • Japan
  • China
  • India
  • Australia
  • New Zealand
  • South Korea
  • Rest of Asia Pacific
• South America
  • Argentina
  • Brazil
  • Chile
  • Rest of South America
• Middle East & Africa
  • Saudi Arabia
  • UAE
  • Qatar
  • South Africa
  • Rest of Middle East & Africa

What our report offers:

• Market share assessments for the regional and country-level segments
• Strategic recommendations for the new entrants
• Covers Market data for the years 2024, 2025, 2026, 2028, and 2032
• Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
• Strategic recommendations in key business segments based on the market estimations
• Competitive landscaping mapping the key common trends
• Company profiling with detailed strategies, financials, and recent developments
• Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

• Company Profiling
  • Comprehensive profiling of additional market players (up to 3)
  • SWOT Analysis of key players (up to 3)
• Regional Segmentation
  • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
• Competitive Benchmarking
  • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

• 2.1 Abstract
• 2.2 Stake Holders
• 2.3 Research Scope
• 2.4 Research Methodology
  • 2.4.1 Data Mining
  • 2.4.2 Data Analysis
  • 2.4.3 Data Validation
  • 2.4.4 Research Approach
• 2.5 Research Sources
  • 2.5.1 Primary Research Sources
  • 2.5.2 Secondary Research Sources
  • 2.5.3 Assumptions

3 Market Trend Analysis

• 3.1 Introduction
• 3.2 Drivers
• 3.3 Restraints
• 3.4 Opportunities
• 3.5 Threats
• 3.6 End User Analysis
• 3.7 Emerging Markets
• 3.8 Impact of Covid-19

4 Porters Five Force Analysis

• 4.1 Bargaining power of suppliers
• 4.2 Bargaining power of buyers
• 4.3 Threat of substitutes
• 4.4 Threat of new entrants
• 4.5 Competitive rivalry

5 Global Hyperlocal Logistics Platforms Market, By Service Type

• 5.1 Introduction
• 5.2 Delivery
• 5.3 Pickup
• 5.4 Courier
• 5.5 E-Commerce
• 5.6 Grocery

6 Global Hyperlocal Logistics Platforms Market, By Vehicle Type

• 6.1 Introduction
• 6.2 Two-Wheeler
• 6.3 Three-Wheeler
• 6.4 Four-Wheeler
• 6.5 Drones

7 Global Hyperlocal Logistics Platforms Market, By Deployment

• 7.1 Introduction
• 7.2 Web-Based
• 7.3 App-Based

8 Global Hyperlocal Logistics Platforms Market, By End User

• 8.1 Introduction
• 8.2 Retailers
• 8.3 Restaurants
• 8.4 Individuals
• 8.5 Pharmacies

9 Global Hyperlocal Logistics Platforms Market, By Geography

• 9.1 Introduction
• 9.2 North America
  • 9.2.1 US
  • 9.2.2 Canada
  • 9.2.3 Mexico
• 9.3 Europe
  • 9.3.1 Germany
  • 9.3.2 UK
  • 9.3.3 Italy
  • 9.3.4 France
  • 9.3.5 Spain
  • 9.3.6 Rest of Europe
• 9.4 Asia Pacific
  • 9.4.1 Japan
  • 9.4.2 China
  • 9.4.3 India
  • 9.4.4 Australia
  • 9.4.5 New Zealand
  • 9.4.6 South Korea
  • 9.4.7 Rest of Asia Pacific
• 9.5 South America
  • 9.5.1 Argentina
  • 9.5.2 Brazil
  • 9.5.3 Chile
  • 9.5.4 Rest of South America
• 9.6 Middle East & Africa
  • 9.6.1 Saudi Arabia
  • 9.6.2 UAE
  • 9.6.3 Qatar
  • 9.6.4 South Africa
  • 9.6.5 Rest of Middle East & Africa

10 Key Developments

• 10.1 Agreements, Partnerships, Collaborations and Joint Ventures
• 10.2 Acquisitions & Mergers
• 10.3 New Product Launch
• 10.4 Expansions
• 10.5 Other Key Strategies

11 Company Profiling

• 11.1 Zomato
• 11.2 Swiggy
• 11.3 Dunzo
• 11.4 ShipBob
• 11.5 Lalamove
• 11.6 Getir
• 11.7 Glovo
• 11.8 Gorillas
• 11.9 Instacart
• 11.10 Gopuff
• 11.11 Just Eat Takeaway.com
• 11.12 Rappi
• 11.13 Postmates
• 11.14 Uber Eats
• 11.15 DoorDash
• 11.16 Delivery Hero