封面
市場調查報告書
商品編碼
2044361

社群共享旅遊市場預測—全球服務類型、經營模式、會員類型、平台類型、資料與服務層、最終用戶與地區分析—2034年

Community-Based Ride Sharing Market Forecasts to 2034 - Global Analysis By Service Type, Business Model, Membership Type, Platform Type, Data & Service Layer, End User, and By Geography

出版日期: | 出版商: Stratistics Market Research Consulting | 英文 | 商品交期: 2-3個工作天內

價格

全球社區共享旅遊市場預計到 2026 年將達到 24 億美元,到 2034 年將達到 76 億美元,預測期內複合年成長率為 15.5%。

社區共享共乘是指特定社區、鄰里或職場內的居民共用車輛,沿著通用路線或目的地出行的有組織的交通途徑。與商業共享旅遊服務不同,這些平台促進了熟悉或經過驗證的社區成員之間的費用分攤,從而降低個人出行成本並緩解都市區交通堵塞。透過利用特定社區內的社會信任,這些平台在促進永續旅行的同時,也加強了參與者之間的聯繫。

都市區交通擁擠日益嚴重,以及對永續交通的需求不斷成長

隨著城市人口快速成長加劇大城市的交通堵塞,政府和企業正日益推廣共用交通模式。社區共乘透過將多個個人出行整合為共用出行,直接緩解尖峰時段的交通堵塞,從而減少道路上的車輛總數。針對都市區碳排放的環境法規正迫使交通管理部門強製或津貼共乘出行。社區共乘正被納入企業永續發展計畫和智慧城市交通總體規劃中,成為低排放量城市出行策略的基石。

航班時刻安排缺乏柔軟性,路線規劃複雜。

與按需商業共乘不同,社群共乘需要使用者與其他社群成員協調出發時間和路線,這種協調的複雜性限制了其即時使用。在日常行程安排多樣化、出發點地理位置分散或用戶密度較低的社區,演算法路線匹配效果不佳。社區成員臨時取消行程可能導致參與者滯留且沒有其他交通方式,從而降低服務的可靠性。這些協調方面的挑戰在目的地多樣且公共交通選擇有限的郊區社區尤為突出。

與公司主導的通勤計畫建立合作關係

將社區共享共乘平台與企業主導的通勤計畫結合,蘊藏著巨大的市場發展機會。希望減輕員工通勤壓力並滿足永續發展報告要求的企業,可以補貼共乘會員費、提供共用車輛停車獎勵,或將平台整合到其企業出行福利入口網站中。這種B2B合作管道為共乘平台提供了地理位置集中且穩定的使用者群體,並顯著簡化了路線匹配流程。此外,與企業的合作還能帶來持續的收入來源,並提高用戶留存率。

非正規交通服務的安全隱憂及監管問題

社區共享共乘平台在法律規範之外運營,正面臨交通管理部門日益嚴格的審查,他們對乘客安全、保險充足性和司機責任問題表示擔憂。涉及身份不明的社區司機的事故可能導致嚴重的聲譽損害和監管干預。缺乏專業的許可證制度、標準化的車輛檢驗和強制性保險框架,使乘客面臨在正規計程車或商業共乘服務中不存在的風險。跨司法管轄區的監管模糊性也為平台業者帶來了營運和法律上的不確定性。

新冠疫情的影響:

新冠疫情對社區共乘造成了沉重打擊,出於健康和安全考慮,許多用戶對共乘感到極度不適。然而,疫情也凸顯了私家車擁有所帶來的經濟負擔。隨著經濟復甦,人們對成本分攤的出行模式重新燃起了興趣。疫情過後,人們對最佳化出行成本的意識增強,加上平台衛生措施的改進和疫苗接種體系的建立,都恢復了使用者的信心。遠距辦公和彈性通勤方式的普及也為新的共乘模式創造了機會。

在預測期內,「按需本地共乘」細分市場預計將成為規模最大的市場。

在預測期內,「按需社區共乘」細分市場預計將佔據最大的市場佔有率。這一龐大的市場佔有率反映了共乘,共乘維護社區內的信任。在既定的社區網路中,使用者可以隨時要求或提供共乘服務,這解決了預先安排、固定時間表的共乘服務的一大弊端。整合即時匹配和支付功能的行動平台正使按需社區共乘服務變得越來越便捷易用。

預計在預測期內,微出行和社區共享產業將錄得最高的複合年成長率。

在預測期內,微出行和社區共享領域預計將呈現最高的成長率。受電動自行車、滑板車和其他共用個人出行工具在社區網路中普及的推動,微出行和社區共享領域預計將實現最高的複合年成長率。隨著城市不斷擴展自行車道和微出行基礎設施,社區為基礎的電動自行車和滑板車共享系統正逐漸成為解決「最後一公里」和「第一公里」出行問題的方案。低營運成本、環境效益以及在人口密集的城市環境中易於部署等優勢,使得基於社區的微出行成為成長最快的共享交通類別之一。

市佔率最大的地區:

在預測期內,歐洲地區預計將佔據最大的市場佔有率。歐洲在社區共乘領域佔據最大市場佔有率,這得益於其強大的永續交通途徑文化、高密度的城市環境以及政府對共享旅遊計畫的補貼。法國、德國和荷蘭等國已建立成熟的共乘生態系統,並輔以專門的基礎設施和有利的法律規範。歐洲城市與公共交通的緊密銜接以及積極抑制私家車使用的城市交通政策,為社區共乘的引入創造了理想條件。

複合年成長率最高的地區:

在預測期內,亞太地區預計將呈現最高的複合年成長率。受全球最大城市人口、嚴峻的交通堵塞挑戰以及政府積極推廣共享出行解決方案的推動,亞太地區預計將實現最高的複合年成長率。印度、中國和東南亞市場智慧型手機的快速普及以及數位支付基礎設施的成熟,​​使得本地交通的無縫銜接成為可能。該地區社區網路中強大的社會聯繫和信任,為社區交通模式提供了理想的文化基礎。

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    • 根據產品系列、地理覆蓋範圍和策略聯盟對領先公司進行基準分析。

目錄

第1章執行摘要

  • 市場概覽及主要亮點
  • 促進因素、挑戰與機遇
  • 競爭格局概述
  • 戰略洞察與建議

第2章:研究框架

  • 研究目標和範圍
  • 相關人員分析
  • 研究假設和限制
  • 調查方法

第3章 市場動態與趨勢分析

  • 市場定義與結構
  • 主要市場促進因素
  • 市場限制與挑戰
  • 投資成長機會和重點領域
  • 產業威脅與風險評估
  • 技術與創新展望
  • 新興市場/高成長市場
  • 監管和政策環境
  • 新冠疫情的影響及復甦前景

第4章:競爭環境與策略評估

  • 波特五力分析
    • 供應商的議價能力
    • 買方的議價能力
    • 替代品的威脅
    • 新進入者的威脅
    • 競爭公司之間的競爭
  • 主要公司市佔率分析
  • 產品基準評效和效能比較

第5章:全球社區共享旅遊市場:依服務類型分類

  • 共乘
  • 共乘/團體共乘
  • 按需共乘
  • 固定共乘
  • 微出行社群共享
  • 其他服務類型

第6章:全球社區共享旅遊市場:依經營模式

  • 點對點(P2P)社群平台
  • 合作/非營利共乘
  • B2C(企業對消費者)社群模式
  • 企業對企業 (B2B) 交易

第7章:全球社群共享旅遊市場:依會員類型分類

  • 固定地點共乘
  • 動態行駛匹配
  • 企業和校園共乘
  • 基於訂閱的社區騎行計劃

第8章:全球社群共享旅遊市場:依平台類型分類

  • 行動應用平台
  • 網路為基礎的平台
  • 混合平台

第9章:全球社區共享旅遊市場:依數據和服務層分類

  • 導航服務
  • 支付和計費系統
  • 共乘演算法
  • 安全與檢驗系統

第10章:全球社群共享旅遊市場:依最終用戶分類

  • 日常通勤者
  • 學生和校園用戶
  • 公司員工
  • 鄉村和半都市區
  • 基於事件的用戶
  • 其他最終用戶

第11章 全球社區共享旅遊市場:按地區分類

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 義大利
    • 西班牙
    • 荷蘭
    • 比利時
    • 瑞典
    • 瑞士
    • 波蘭
    • 其他歐洲國家
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 韓國
    • 澳洲
    • 印尼
    • 泰國
    • 馬來西亞
    • 新加坡
    • 越南
    • 其他亞太國家
  • 南美洲
    • 巴西
    • 阿根廷
    • 哥倫比亞
    • 智利
    • 秘魯
    • 其他南美國家
  • 世界其他地區(RoW)
    • 中東
      • 沙烏地阿拉伯
      • 阿拉伯聯合大公國
      • 卡達
      • 以色列
      • 其他中東國家
    • 非洲
      • 南非
      • 埃及
      • 摩洛哥
      • 其他非洲國家

第12章 策略市場資訊

  • 工業價值網路和供應鏈評估
  • 空白區域和機會地圖
  • 產品演進與市場生命週期分析
  • 通路、經銷商和打入市場策略的評估

第13章 產業趨勢與策略舉措

  • 併購
  • 夥伴關係、聯盟和合資企業
  • 新產品發布和認證
  • 擴大生產能力和投資
  • 其他策略舉措

第14章:公司簡介

  • BlaBlaCar
  • Uber Technologies, Inc.
  • Lyft, Inc.
  • Ola Cabs
  • DiDi Global Inc.
  • inDrive
  • Bolt Technology OU
  • Grab Holdings Limited
  • Carma Technology Corporation
  • Via Transportation, Inc.
  • Turo Inc.
  • Getaround, Inc.
  • SnappCar
  • Liftango
  • Scoop Technologies, Inc.
Product Code: SMRC36150

According to Stratistics MRC, the Global Community-Based Ride Sharing Market is accounted for $2.4 billion in 2026 and is expected to reach $7.6 billion by 2034, growing at a CAGR of 15.5% during the forecast period. Community-based ride sharing refers to organized transportation arrangements where individuals within a defined community, neighborhood, or workplace share vehicle trips along common routes or destinations. Unlike commercial ride-hailing, these platforms facilitate cost-sharing among known or verified community members, reducing individual transportation costs and alleviating urban traffic congestion. By leveraging social trust within defined communities, these platforms promote sustainable mobility while fostering interpersonal connections among participants.

Market Dynamics:

Driver:

Rising urban congestion and sustainable mobility mandates

Accelerating urban population growth has intensified traffic congestion in major cities, prompting governments and corporates to actively incentivize shared transportation models. Community ride sharing directly addresses peak-hour congestion by consolidating multiple single-occupant trips into shared journeys, reducing the total number of vehicles on roads. Environmental regulations targeting urban carbon emissions are compelling transport authorities to mandate or subsidize ride-sharing adoption. Corporate sustainability programs and smart city transportation master plans are embedding community ride sharing as a cornerstone of low-emission urban mobility strategies.

Restraint:

Scheduling inflexibility and route matching complexity

Unlike on-demand commercial ride-hailing, community ride sharing requires riders to align departure times and routes with fellow community members, introducing coordination complexity that limits spontaneous use. Algorithm-driven route matching struggles in communities with diverse daily schedules, geographically dispersed origins, or low user density. Last-minute cancellations by community members can leave participants stranded without alternative provisions, undermining reliability perceptions. These coordination challenges are particularly acute in suburban communities where destinations are varied and public transit alternatives are limited.

Opportunity:

Employer-sponsored commute program partnerships

Integrating community ride-sharing platforms with employer-sponsored commute programs represents a significant market development opportunity. Organizations seeking to reduce employee commute stress and meet sustainability reporting requirements can subsidize ride-sharing memberships, provide parking incentives for shared vehicles, and integrate platforms with corporate mobility benefits portals. This B2B engagement channel provides ride-sharing platforms with a captive, geographically clustered user base that dramatically simplifies route matching. Employer partnerships also deliver recurring revenue streams and enhance user retention.

Threat:

Safety concerns and regulatory scrutiny around informal transportation services

Community ride-sharing platforms that operate outside formal transport regulatory frameworks face increasing scrutiny from transport authorities concerned about passenger safety, insurance adequacy, and driver accountability. Incidents involving unverified community drivers can generate significant reputational damage and trigger regulatory intervention. The absence of professional licensing, standardized vehicle inspections, and mandatory insurance frameworks exposes passengers to risks not present in licensed taxi or commercial ride-hailing services. Regulatory ambiguity across jurisdictions creates operational and legal uncertainty for platform operators.

Covid-19 Impact:

The COVID-19 pandemic severely disrupted community ride sharing as health safety concerns made shared vehicle travel deeply uncomfortable for many users. However, the crisis also underscored the financial strain of private vehicle ownership, reigniting interest in cost-sharing transportation models as economic recovery unfolded. Post-pandemic, heightened awareness of transportation cost optimization alongside improved platform hygiene protocols and vaccination infrastructure has revived user confidence. The acceleration of remote work and flexible commuting has also created new shared trip pattern opportunities.

The On-Demand Community Ride Sharing segment is expected to be the largest during the forecast period

The On-Demand Community Ride Sharing segment is expected to account for the largest market share during the forecast period. On-demand community ride sharing accounts for the largest market share, reflecting consumer preference for flexible, real-time trip coordination that mirrors the convenience of commercial ride-hailing while maintaining community-trust dynamics. The ability to request or offer rides spontaneously within a defined community network addresses the primary criticism of scheduled carpools, which require advance planning. Mobile platforms with integrated real-time matching and payment capabilities have made on-demand community rides increasingly accessible and user-friendly.

The Micro-Mobility Community Sharing segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the Micro-Mobility Community Sharing segment is predicted to witness the highest growth rate. The micro-mobility community sharing segment is expected to register the highest CAGR, driven by the proliferation of electric bikes, scooters, and other shared personal mobility devices within neighborhood networks. As cities expand dedicated cycling and micro-mobility infrastructure, community-based e-bike and scooter sharing systems are emerging as first and last mile transportation solutions. The low operating cost, environmental benefits, and ease of deployment in dense urban environments position community micro-mobility as one of the fastest-growing shared transport categories.

Region with largest share:

During the forecast period, the Europe region is expected to hold the largest market share. Europe holds the largest market share in community-based ride sharing, driven by a strong culture of sustainable transportation, dense urban environments, and government subsidies for shared mobility initiatives. Countries such as France, Germany, and the Netherlands have established mature carpooling ecosystems supported by dedicated infrastructure and favorable regulatory frameworks. European cities' robust public transit integration and urban mobility policies that actively discourage private vehicle use create ideal conditions for community ride-sharing adoption.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR. Asia Pacific is anticipated to witness the highest CAGR, fueled by the world's largest urban populations, acute traffic congestion challenges, and governments' active promotion of shared mobility solutions. Rapid smartphone penetration and the maturation of digital payment infrastructure across India, China, and Southeast Asian markets are enabling seamless community trip coordination. The region's strong social connectivity and trust within community networks provide a cultural foundation well-suited to community-based transportation models.

Key players in the market

Some of the key players in Community-Based Ride Sharing Market include BlaBlaCar, Waze Carpool, Scoop Technologies, Commutifi, Avego, CarpoolWorld, Zimride, GoKid, Karos, Klaxit, Mobility as a Service (MaaS), TwoGo, Rideshare2, Liftshare, Carma.

Key Developments:

In May 2025, BlaBlaCar expanded its multimodal travel services by introducing train ticket sales in France, strengthening its position beyond carpooling into a broader travel platform. This move aligns with its strategy to integrate different transport options and improve user convenience across Europe.

In July 2024, Spacer Technologies acquired Scoop's commute business and relaunched it as "Scoop Commute," aiming to scale enterprise-focused carpooling services. The initiative focuses on reducing congestion, lowering emissions, and improving employee commuting experiences across major regions.

Service Types Covered:

  • Carpooling
  • Vanpooling / Group Ride Sharing
  • On-Demand Community Ride Sharing
  • Fixed Route Ride Sharing
  • Micro-Mobility Community Sharing
  • Other Service Types

Business Models Covered:

  • Peer-to-Peer (P2P) Community Platforms
  • Cooperative / Non-Profit Ride Sharing
  • Business-to-Consumer (B2C) Community Models
  • Business-to-Business (B2B)

Membership Types Covered:

  • Fixed Ride Sharing
  • Dynamic Ride Matching
  • Corporate / Campus Ride Sharing
  • Subscription-Based Community Ride Programs

Platform Types Covered:

  • Mobile App-Based Platforms
  • Web-Based Platforms
  • Hybrid Platforms

Data & Service Layers Covered:

  • Navigation Services
  • Payment & Billing Systems
  • Ride Matching Algorithms
  • Safety & Verification Systems

End Users Covered:

  • Daily Commuters
  • Students & Campus Users
  • Corporate Employees
  • Rural & Semi-Urban Communities
  • Event-Based Users
  • Other End Users

Regions Covered:

  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • United Kingdom
    • Germany
    • France
    • Italy
    • Spain
    • Netherlands
    • Belgium
    • Sweden
    • Switzerland
    • Poland
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Indonesia
    • Thailand
    • Malaysia
    • Singapore
    • Vietnam
    • Rest of Asia Pacific
  • South America
    • Brazil
    • Argentina
    • Colombia
    • Chile
    • Peru
    • Rest of South America
  • Rest of the World (RoW)
    • Middle East
  • Saudi Arabia
  • United Arab Emirates
  • Qatar
  • Israel
  • Rest of Middle East
    • Africa
  • South Africa
  • Egypt
  • Morocco
  • Rest of 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 2023, 2024, 2025, 2026, 2027, 2028, 2030, 2032 and 2034
  • 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

  • 1.1 Market Snapshot and Key Highlights
  • 1.2 Growth Drivers, Challenges, and Opportunities
  • 1.3 Competitive Landscape Overview
  • 1.4 Strategic Insights and Recommendations

2 Research Framework

  • 2.1 Study Objectives and Scope
  • 2.2 Stakeholder Analysis
  • 2.3 Research Assumptions and Limitations
  • 2.4 Research Methodology
    • 2.4.1 Data Collection (Primary and Secondary)
    • 2.4.2 Data Modeling and Estimation Techniques
    • 2.4.3 Data Validation and Triangulation
    • 2.4.4 Analytical and Forecasting Approach

3 Market Dynamics and Trend Analysis

  • 3.1 Market Definition and Structure
  • 3.2 Key Market Drivers
  • 3.3 Market Restraints and Challenges
  • 3.4 Growth Opportunities and Investment Hotspots
  • 3.5 Industry Threats and Risk Assessment
  • 3.6 Technology and Innovation Landscape
  • 3.7 Emerging and High-Growth Markets
  • 3.8 Regulatory and Policy Environment
  • 3.9 Impact of COVID-19 and Recovery Outlook

4 Competitive and Strategic Assessment

  • 4.1 Porter's Five Forces Analysis
    • 4.1.1 Supplier Bargaining Power
    • 4.1.2 Buyer Bargaining Power
    • 4.1.3 Threat of Substitutes
    • 4.1.4 Threat of New Entrants
    • 4.1.5 Competitive Rivalry
  • 4.2 Market Share Analysis of Key Players
  • 4.3 Product Benchmarking and Performance Comparison

5 Global Community-Based Ride Sharing Market, By Service Type

  • 5.1 Carpooling
  • 5.2 Vanpooling / Group Ride Sharing
  • 5.3 On-Demand Community Ride Sharing
  • 5.4 Fixed Route Ride Sharing
  • 5.5 Micro-Mobility Community Sharing
  • 5.6 Other Service Types

6 Global Community-Based Ride Sharing Market, By Business Model

  • 6.1 Peer-to-Peer (P2P) Community Platforms
  • 6.2 Cooperative / Non-Profit Ride Sharing
  • 6.3 Business-to-Consumer (B2C) Community Models
  • 6.4 Business-to-Business (B2B)

7 Global Community-Based Ride Sharing Market, By Membership Type

  • 7.1 Fixed Ride Sharing
  • 7.2 Dynamic Ride Matching
  • 7.3 Corporate / Campus Ride Sharing
  • 7.4 Subscription-Based Community Ride Programs

8 Global Community-Based Ride Sharing Market, By Platform Type

  • 8.1 Mobile App-Based Platforms
  • 8.2 Web-Based Platforms
  • 8.3 Hybrid Platforms

9 Global Community-Based Ride Sharing Market, By Data & Service Layer

  • 9.1 Navigation Services
  • 9.2 Payment & Billing Systems
  • 9.3 Ride Matching Algorithms
  • 9.4 Safety & Verification Systems

10 Global Community-Based Ride Sharing Market, By End User

  • 10.1 Daily Commuters
  • 10.2 Students & Campus Users
  • 10.3 Corporate Employees
  • 10.4 Rural & Semi-Urban Communities
  • 10.5 Event-Based Users
  • 10.6 Other End Users

11 Global Community-Based Ride Sharing Market, By Geography

  • 11.1 North America
    • 11.1.1 United States
    • 11.1.2 Canada
    • 11.1.3 Mexico
  • 11.2 Europe
    • 11.2.1 United Kingdom
    • 11.2.2 Germany
    • 11.2.3 France
    • 11.2.4 Italy
    • 11.2.5 Spain
    • 11.2.6 Netherlands
    • 11.2.7 Belgium
    • 11.2.8 Sweden
    • 11.2.9 Switzerland
    • 11.2.10 Poland
    • 11.2.11 Rest of Europe
  • 11.3 Asia Pacific
    • 11.3.1 China
    • 11.3.2 Japan
    • 11.3.3 India
    • 11.3.4 South Korea
    • 11.3.5 Australia
    • 11.3.6 Indonesia
    • 11.3.7 Thailand
    • 11.3.8 Malaysia
    • 11.3.9 Singapore
    • 11.3.10 Vietnam
    • 11.3.11 Rest of Asia Pacific
  • 11.4 South America
    • 11.4.1 Brazil
    • 11.4.2 Argentina
    • 11.4.3 Colombia
    • 11.4.4 Chile
    • 11.4.5 Peru
    • 11.4.6 Rest of South America
  • 11.5 Rest of the World (RoW)
    • 11.5.1 Middle East
      • 11.5.1.1 Saudi Arabia
      • 11.5.1.2 United Arab Emirates
      • 11.5.1.3 Qatar
      • 11.5.1.4 Israel
      • 11.5.1.5 Rest of Middle East
    • 11.5.2 Africa
      • 11.5.2.1 South Africa
      • 11.5.2.2 Egypt
      • 11.5.2.3 Morocco
      • 11.5.2.4 Rest of Africa

12 Strategic Market Intelligence

  • 12.1 Industry Value Network and Supply Chain Assessment
  • 12.2 White-Space and Opportunity Mapping
  • 12.3 Product Evolution and Market Life Cycle Analysis
  • 12.4 Channel, Distributor, and Go-to-Market Assessment

13 Industry Developments and Strategic Initiatives

  • 13.1 Mergers and Acquisitions
  • 13.2 Partnerships, Alliances, and Joint Ventures
  • 13.3 New Product Launches and Certifications
  • 13.4 Capacity Expansion and Investments
  • 13.5 Other Strategic Initiatives

14 Company Profiles

  • 14.1 BlaBlaCar
  • 14.2 Uber Technologies, Inc.
  • 14.3 Lyft, Inc.
  • 14.4 Ola Cabs
  • 14.5 DiDi Global Inc.
  • 14.6 inDrive
  • 14.7 Bolt Technology OU
  • 14.8 Grab Holdings Limited
  • 14.9 Carma Technology Corporation
  • 14.10 Via Transportation, Inc.
  • 14.11 Turo Inc.
  • 14.12 Getaround, Inc.
  • 14.13 SnappCar
  • 14.14 Liftango
  • 14.15 Scoop Technologies, Inc.

List of Tables

  • Table 1 Global Community-Based Ride Sharing Market Outlook, By Region (2023-2034) ($MN)
  • Table 2 Global Community-Based Ride Sharing Market Outlook, By Service Type (2023-2034) ($MN)
  • Table 3 Global Community-Based Ride Sharing Market Outlook, By Carpooling (2023-2034) ($MN)
  • Table 4 Global Community-Based Ride Sharing Market Outlook, By Vanpooling / Group Ride Sharing (2023-2034) ($MN)
  • Table 5 Global Community-Based Ride Sharing Market Outlook, By On-Demand Community Ride Sharing (2023-2034) ($MN)
  • Table 6 Global Community-Based Ride Sharing Market Outlook, By Fixed Route Ride Sharing (2023-2034) ($MN)
  • Table 7 Global Community-Based Ride Sharing Market Outlook, By Micro-Mobility Community Sharing (2023-2034) ($MN)
  • Table 8 Global Community-Based Ride Sharing Market Outlook, By Other Service Types (2023-2034) ($MN)
  • Table 9 Global Community-Based Ride Sharing Market Outlook, By Business Model (2023-2034) ($MN)
  • Table 10 Global Community-Based Ride Sharing Market Outlook, By Peer-to-Peer (P2P) Community Platforms (2023-2034) ($MN)
  • Table 11 Global Community-Based Ride Sharing Market Outlook, By Cooperative / Non-Profit Ride Sharing (2023-2034) ($MN)
  • Table 12 Global Community-Based Ride Sharing Market Outlook, By Business-to-Consumer (B2C) Community Models (2023-2034) ($MN)
  • Table 13 Global Community-Based Ride Sharing Market Outlook, By Business-to-Business (B2B) (2023-2034) ($MN)
  • Table 14 Global Community-Based Ride Sharing Market Outlook, By Membership Type (2023-2034) ($MN)
  • Table 15 Global Community-Based Ride Sharing Market Outlook, By Fixed Ride Sharing (2023-2034) ($MN)
  • Table 16 Global Community-Based Ride Sharing Market Outlook, By Dynamic Ride Matching (2023-2034) ($MN)
  • Table 17 Global Community-Based Ride Sharing Market Outlook, By Corporate / Campus Ride Sharing (2023-2034) ($MN)
  • Table 18 Global Community-Based Ride Sharing Market Outlook, By Subscription-Based Community Ride Programs (2023-2034) ($MN)
  • Table 19 Global Community-Based Ride Sharing Market Outlook, By Platform Type (2023-2034) ($MN)
  • Table 20 Global Community-Based Ride Sharing Market Outlook, By Mobile App-Based Platforms (2023-2034) ($MN)
  • Table 21 Global Community-Based Ride Sharing Market Outlook, By Web-Based Platforms (2023-2034) ($MN)
  • Table 22 Global Community-Based Ride Sharing Market Outlook, By Hybrid Platforms (2023-2034) ($MN)
  • Table 23 Global Community-Based Ride Sharing Market Outlook, By Data & Service Layer (2023-2034) ($MN)
  • Table 24 Global Community-Based Ride Sharing Market Outlook, By Navigation Services (2023-2034) ($MN)
  • Table 25 Global Community-Based Ride Sharing Market Outlook, By Payment & Billing Systems (2023-2034) ($MN)
  • Table 26 Global Community-Based Ride Sharing Market Outlook, By Ride Matching Algorithms (2023-2034) ($MN)
  • Table 27 Global Community-Based Ride Sharing Market Outlook, By Safety & Verification Systems (2023-2034) ($MN)
  • Table 28 Global Community-Based Ride Sharing Market Outlook, By End User (2023-2034) ($MN)
  • Table 29 Global Community-Based Ride Sharing Market Outlook, By Daily Commuters (2023-2034) ($MN)
  • Table 30 Global Community-Based Ride Sharing Market Outlook, By Students & Campus Users (2023-2034) ($MN)
  • Table 31 Global Community-Based Ride Sharing Market Outlook, By Corporate Employees (2023-2034) ($MN)
  • Table 32 Global Community-Based Ride Sharing Market Outlook, By Rural & Semi-Urban Communities (2023-2034) ($MN)
  • Table 33 Global Community-Based Ride Sharing Market Outlook, By Event-Based Users (2023-2034) ($MN)
  • Table 34 Global Community-Based Ride Sharing Market Outlook, By Other End Users (2023-2034) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Rest of the World (RoW) are also represented in the same manner as above.