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市场调查报告书
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1858887

摩托车计程车市场机会、成长驱动因素、产业趋势分析及预测（2025-2034年）

Motorbike Taxi Market Opportunity, Growth Drivers, Industry Trend Analysis, and Forecast 2025 - 2034
出版日期: | 出版商: Global Market Insights Inc. | 英文 230 Pages | 商品交期: 2-3个工作天内

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简介目录

2024 年全球摩托车计程车市场价值 137 亿美元，预计到 2034 年将以 7.4% 的复合年增长率增长至 254 亿美元。

摩托车出租车市场 - IMG1

日益严重的城市拥挤、不断上涨的燃油成本以及人们对更快捷通勤方式的需求，正在加速摩托车计程车服务的转型。在基础设施紧张的城市，这些两轮计程车正成为传统交通工具的可靠替代方案，提供更快捷的门到门出行服务。营运商如今高度依赖数位化平台来高效匹配乘客和司机，确保价格透明并提升安全性。随着智慧型手机和网路普及率的提高，基于应用程式的预订和数位支付已成为标配。先进技术的应用也不断成长，例如人工智慧安全工具、基于GPS的路线管理和即时行程监控。车队所有者越来越多地提供电动自行车选项和客製化出行服务，使出行更加环保便捷。智慧型仪錶板、模组化方案和绩效追踪工具也正在被应用，以简化营运流程并提升城市和近郊地区的服务品质。

市场范围
起始年份 2024
预测年份 2025-2034
起始值 137亿美元
预测值 254亿美元
复合年增长率 7.4%

2024年，按需出行服务市占率达到61%，预计到2034年将以7%的复合年增长率成长。其灵活性、即时可用性和具有竞争力的价格体系，使其成为在繁忙的城市中心寻求快速便捷出行的通勤者的首选。应用程式用户数量的成长和出行平台的不断扩张也进一步推动了该领域的成长。

2024年，内燃机（ICE）摩托车市占率达到71%，预计2025年至2034年间将以7.5%的复合年增长率成长。由于价格实惠、加油网络完善且普及率高，亚洲和非洲等地区对内燃机摩托车的偏好依然强劲。营运商倾向于选择内燃机车辆，因为其性能可靠、易于维护且初始成本低。然而，在全球监管框架变化、政府支持以及新兴经济体电动车充电基础设施不断扩展的推动下，全球市场正逐步转型为电动车型。

亚太地区摩托车计程车市场占58%的市场份额，预计2024年市场规模将达到79亿美元。该地区蓬勃发展的城市人口、行动互联网的普及以及数位平台的快速整合是推动市场成长的关键因素。基于应用程式的旅游服务、最后一公里出行解决方案以及不断扩展的无现金经济推动了摩托车计程车在该地区日益普及。随着人们对灵活、经济且科技化的出行方式的需求不断增长，亚太地区各国正逐渐成为摩托车计程车产业的重要发展中心。

全球摩托车计程车市场的主要营运公司包括 Rapido、Angkas、Bolt、Safeboda、Uber、InDriver、Ola Bike、JOYRIDE、Gojek 和 Grab。为了巩固市场地位，领先的摩托车计程车服务提供者正在实施多项策略性措施。各公司积极投资科技以提升用户体验，并专注于即时追踪、智慧定价演算法和安全分析。许多企业正在转向车队电气化，以在降低营运成本的同时实现永续发展目标。与金融科技公司的合作也促进了更顺畅的数位支付整合。此外，这些公司正透过策略合作、遵守监管规定以及提供客製化服务来满足当地通勤需求，从而拓展区域市场。

目录

第一章：方法论

  • 市场范围和定义
  • 研究设计
    • 研究方法
    • 资料收集方法
  • 资料探勘来源
    • 全球的
    • 地区/国家
  • 基准估算和计算
    • 基准年计算
    • 市场估算的关键趋势
  • 初步研究和验证
    • 原始资料
  • 预测模型
  • 研究假设和局限性

第二章：执行概要

第三章：行业洞察

  • 产业生态系分析
    • 供应商格局
    • 利润率分析
    • 成本结构
    • 每个阶段的价值增加
    • 影响价值链的因素
    • 中断
  • 产业影响因素
    • 成长驱动因素
      • 都市化进程加速与交通拥挤加剧
      • 智慧型手机普及率不断提高以及基于应用程式的平台
      • 车队中电动两轮车的普及
      • 越来越重视价格可负担性和最后一公里连接
      • 政府措施和监管支持
    • 产业陷阱与挑战
      • 安全隐患与意外风险
      • 监管和法律方面的不确定性
    • 市场机会
      • 新兴经济体中叫车平台的扩张
      • 将电动摩托车整合到车队中
      • 与金融和保险提供者建立合作关係
      • 采用人工智慧、GPS 和数位安全功能
  • 成长潜力分析
  • 监管环境
    • 运输服务许可证要求
    • 驾驶执照和背景调查标准
    • 车辆安全与保险法规
    • 数位平台监管合规性
    • 跨境营运要求
  • 波特的分析
  • PESTEL 分析
  • 技术与创新格局
    • 当前技术趋势
      • 行动应用平台开发
      • GPS追踪和导航技术
      • 数位支付系统集成
      • 人工智慧驱动的匹配演算法
      • 物联网和连网汽车技术
    • 新兴技术
      • 人工智慧驱动的共乘演算法
      • 基于区块链的系统
  • 价格趋势
    • 按地区
    • 副产品
  • 生产统计
    • 生产中心
    • 消费中心
    • 进出口
  • 成本細項分析
  • 专利分析
  • 永续性和环境方面
    • 永续实践
    • 减少废弃物策略
    • 生产中的能源效率
    • 环保倡议
    • 碳足迹考量
    • 环境耐久性标准
  • 安全分析框架
    • 驾驶员安全培训和认证
    • 乘客安全措施和规程
    • 事故预防与紧急应变
    • 女性安全功能与性别专属服务
    • 车辆安全标准和设备要求
    • 保险范围及责任管理
  • 驾驶员经济效益及效益分析
    • 司机收入结构及收入潜力
    • 佣金模式及收益分成
    • 司机营运成本分析
    • 车辆融资和所有权模式
    • 司机留存率和满意度指标
  • 客户体验和服务品质
    • 服务品质指标和关键绩效指标
    • 客户满意度和忠诚度分析
    • 定价策略及可负担性评估
    • 服务可访问性和可用性
    • 多式联运一体化
  • 市场进入策略框架
    • 监管审批和许可流程
    • 本地合作与合资模式
    • 技术本地化需求
    • 司机招募和培训计划
    • 行销和品牌定位策略
  • 未来展望及市场机会
    • 电动车整合与永续性
    • 自动驾驶车辆影响评估
    • 智慧城市融合机会
    • 投资机会及资金需求
    • 商业模式创新与颠覆
    • 风险评估与缓解策略
    • 长期市场演变情景

第四章：竞争格局

  • 介绍
  • 公司市占率分析
    • 北美洲
    • 欧洲
    • 亚太地区
    • 拉丁美洲
    • MEA
  • 主要市场参与者的竞争分析
  • 竞争定位矩阵
  • 战略展望矩阵
  • 关键进展
    • 併购
    • 合作伙伴关係与合作
    • 新产品发布
    • 扩张计划和资金

第五章：市场估算与预测：依服务类型划分，2021-2034年

  • 主要趋势
  • 按需叫车
  • 已安排/已预订的行程
  • 交付整合服务

第六章：市场估价与预测：依车辆类型划分，2021-2034年

  • 主要趋势
  • 内燃机车
  • 电动摩托车
  • 其他轻型电动车/踏板车

第七章：市场估算与预测：依预约模式划分，2021-2034年

  • 主要趋势
  • 基于应用程式的预订
  • 离线/传统预订

第八章：市场估算与预测：依营运区域划分，2021-2034年

  • 主要趋势
  • 城市的
  • 半城市/近郊
  • 乡村的

第九章：市场估算与预测：依商业模式划分，2021-2034年

  • 主要趋势
  • 聚合器模型
  • 自有车队模式
  • 混合模型

第十章：市场估计与预测：依最终用途划分，2021-2034年

  • 主要趋势
  • 日常通勤者
  • 偶尔用户
  • 商务旅客
  • 送货客户

第十一章：市场估计与预测：按地区划分，2021-2034年

  • 主要趋势
  • 北美洲
    • 我们
    • 加拿大
  • 欧洲
    • 德国
    • 英国
    • 法国
    • 义大利
    • 西班牙
    • 俄罗斯
    • 北欧
    • 葡萄牙
    • 克罗埃西亚
  • 亚太地区
    • 中国
    • 印度
    • 日本
    • 澳洲
    • 韩国
    • 新加坡
    • 泰国
    • 印尼
    • 柬埔寨
    • 菲律宾
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 阿根廷
  • MEA
    • 南非
    • 沙乌地阿拉伯
    • 阿联酋
    • 奈及利亚
    • 肯亚
    • 乌干达

第十二章：公司简介

  • 全球参与者
    • Gojek
    • Grab
    • Uber
    • Bolt
  • 区域玩家
    • Angkas
    • InDriver
    • JOYRIDE
    • Ola Bike
    • Rapido
    • PickMe
  • 新兴参与者
    • HERE
    • MAX
  • Technology Solution Providers
    • Safeboda
    • Twilio
简介目录
Product Code: 14838

The Global Motorbike Taxi Market was valued at USD 13.7 billion in 2024 and is estimated to grow at a CAGR of 7.4% to reach USD 25.4 billion by 2034.

Motorbike Taxi Market - IMG1

Growing urban congestion, increasing fuel costs, and a demand for faster commute options are accelerating the shift toward motorbike taxi services. These two-wheeler taxis are becoming a reliable alternative to traditional transport in cities with strained infrastructure, enabling faster door-to-door mobility. Operators now rely heavily on digital platforms to match riders and drivers efficiently, ensuring pricing transparency and improved safety. With rising smartphone use and internet penetration, app-based bookings and digital payments have become standard. Advanced technology adoption is also on the rise, featuring AI-powered safety tools, GPS-based route management, and real-time ride monitoring. Fleet owners are increasingly offering electric bike options and customizable ride services, making travel eco-friendlier and more accessible. Smart dashboards, modular plans, and performance tracking tools are also being implemented to streamline operations and boost service quality in both urban and peri-urban zones.

Market Scope
Start Year2024
Forecast Year2025-2034
Start Value$13.7 Billion
Forecast Value$25.4 Billion
CAGR7.4%

In 2024, the on-demand ride-hailing segment held a 61% share and is set to grow at a CAGR of 7% through 2034. Its flexibility, instant availability, and competitive pricing structure make it the preferred option for commuters seeking fast and affordable rides across busy urban centers. The segment's growth is reinforced by the rising number of app users and the expanding presence of mobility platforms.

The internal combustion engine (ICE) motorbikes segment has a 71% share in 2024 and is projected to grow at a CAGR of 7.5% between 2025 and 2034. The preference for ICE motorbikes remains strong in regions like Asia and Africa due to their affordability, existing refueling networks, and widespread availability. Operators lean toward ICE vehicles for their proven performance, easy maintenance, and low initial costs. However, the global market is gradually shifting toward electric models, driven by changing regulatory frameworks, government support, and the expansion of EV charging infrastructure across emerging economies.

Asia Pacific Motorbike Taxi Market held a 58% share, generating USD 7.9 billion in 2024. The region's booming urban population, strong mobile adoption, and fast integration of digital platforms are key growth enablers. App-based transport, last-mile connectivity solutions, and expanding cashless economies have propelled the popularity of two-wheeler taxis in the region. As demand rises for flexible, affordable, and tech-enabled mobility options, countries across the region are becoming key development hubs for the motorbike taxi industry.

Key companies operating in the Global Motorbike Taxi Market include Rapido, Angkas, Bolt, Safeboda, Uber, InDriver, Ola Bike, JOYRIDE, Gojek, and Grab. To secure their market position, leading motorbike taxi service providers are implementing several strategic approaches. Businesses are aggressively investing in technology to enhance user experience, focusing on real-time tracking, smart pricing algorithms, and safety analytics. Many players are pivoting toward fleet electrification to meet sustainability targets while lowering operational costs. Collaborations with fintech companies are also enabling smoother digital payment integrations. Additionally, these firms are expanding regionally through strategic partnerships, regulatory alignment, and customized offerings to match local commuting needs.

Table of Contents

Chapter 1 Methodology

  • 1.1 Market scope and definition
  • 1.2 Research design
    • 1.2.1 Research approach
    • 1.2.2 Data collection methods
  • 1.3 Data mining sources
    • 1.3.1 Global
    • 1.3.2 Regional/Country
  • 1.4 Base estimates and calculations
    • 1.4.1 Base year calculation
    • 1.4.2 Key trends for market estimation
  • 1.5 Primary research and validation
    • 1.5.1 Primary sources
  • 1.6 Forecast model
  • 1.7 Research assumptions and limitations

Chapter 2 Executive Summary

  • 2.1 Industry 3600 synopsis, 2021 - 2034
  • 2.2 Key market trends
    • 2.2.1 Regional
    • 2.2.2 Services
    • 2.2.3 Vehicles
    • 2.2.4 Booking Mode
    • 2.2.5 Area of Operation
    • 2.2.6 Business Model
    • 2.2.7 End Use
  • 2.3 TAM Analysis, 2025-2034
  • 2.4 CXO perspectives: Strategic imperatives
    • 2.4.1 Executive decision points
    • 2.4.2 Critical success factors
  • 2.5 Future outlook and strategic recommendations

Chapter 3 Industry Insights

  • 3.1 Industry ecosystem analysis
    • 3.1.1 Supplier landscape
    • 3.1.2 Profit margin analysis
    • 3.1.3 Cost structure
    • 3.1.4 Value addition at each stage
    • 3.1.5 Factor affecting the value chain
    • 3.1.6 Disruptions
  • 3.2 Industry impact forces
    • 3.2.1 Growth drivers
      • 3.2.1.1 Rising urbanization and traffic congestion
      • 3.2.1.2 Growing smartphone penetration and app-based platforms
      • 3.2.1.3 Adoption of electric two-wheelers in fleets
      • 3.2.1.4 Increasing focus on affordability and last-mile connectivity
      • 3.2.1.5 Government initiatives and regulatory support
    • 3.2.2 Industry pitfalls and challenges
      • 3.2.2.1 Safety concerns and accident risks
      • 3.2.2.2 Regulatory and legal uncertainties
    • 3.2.3 Market opportunities
      • 3.2.3.1 Expansion of ride-hailing platforms in emerging economies
      • 3.2.3.2 Integration of electric motorbikes into fleets
      • 3.2.3.3 Partnerships with financial and insurance providers
      • 3.2.3.4 Adoption of AI, GPS, and digital safety features
  • 3.3 Growth potential analysis
  • 3.4 Regulatory landscape
    • 3.4.1 Transportation service licensing requirements
    • 3.4.2 Driver licensing & background check standards
    • 3.4.3 Vehicle safety & insurance regulations
    • 3.4.4 Digital platform regulatory compliance
    • 3.4.5 Cross-border operational requirements
  • 3.5 Porter's analysis
  • 3.6 PESTEL analysis
  • 3.7 Technology and innovation landscape
    • 3.7.1 Current technological trends
      • 3.7.1.1 Mobile application platform development
      • 3.7.1.2 GPS tracking & navigation technology
      • 3.7.1.3 Digital payment system integration
      • 3.7.1.4 AI-powered matching algorithms
      • 3.7.1.5 IoT & connected vehicle technology
    • 3.7.2 Emerging technologies
      • 3.7.2.1 AI-powered ride-matching algorithms
      • 3.7.2.2 Blockchain-based systems
  • 3.8 Price trends
    • 3.8.1 By region
    • 3.8.2 By product
  • 3.9 Production statistics
    • 3.9.1 Production hubs
    • 3.9.2 Consumption hubs
    • 3.9.3 Export and import
  • 3.10 Cost breakdown analysis
  • 3.11 Patent analysis
  • 3.12 Sustainability and environmental aspects
    • 3.12.1 Sustainable practices
    • 3.12.2 Waste reduction strategies
    • 3.12.3 Energy efficiency in production
    • 3.12.4 Eco-friendly Initiatives
    • 3.12.5 Carbon footprint considerations
    • 3.12.6 Environmental durability standards
  • 3.13 Safety & Security Analysis Framework
    • 3.13.1 Driver safety training & certification
    • 3.13.2 Passenger safety measures & protocols
    • 3.13.3 Accident prevention & emergency response
    • 3.13.4 Women's safety features & gender-specific services
    • 3.13.5 Vehicle safety standards & equipment requirements
    • 3.13.6 Insurance coverage & liability management
  • 3.14 Driver economics & earnings analysis
    • 3.14.1 Driver income structure & earning potential
    • 3.14.2 Commission models & revenue sharing
    • 3.14.3 Operating cost analysis for drivers
    • 3.14.4 Vehicle financing & ownership models
    • 3.14.5 Driver retention & satisfaction metrics
  • 3.15 Customer experience & service quality
    • 3.15.1 Service quality metrics & KPIs
    • 3.15.2 Customer satisfaction & loyalty analysis
    • 3.15.3 Pricing strategy & affordability assessment
    • 3.15.4 Service accessibility & availability
    • 3.15.5 Multi-modal transportation integration
  • 3.16 Market entry strategy framework
    • 3.16.1 Regulatory approval & licensing process
    • 3.16.2 Local partnership & joint venture models
    • 3.16.3 Technology localization requirements
    • 3.16.4 Driver recruitment & training programs
    • 3.16.5 Marketing & brand positioning strategies
  • 3.17 Future outlook & market opportunities
    • 3.17.1 Electric vehicle integration & sustainability
    • 3.17.2 Autonomous vehicle impact assessment
    • 3.17.3 Smart city integration opportunities
    • 3.17.4 Investment opportunities & funding requirements
    • 3.17.5 Business model innovation & disruption
    • 3.17.6 Risk assessment & mitigation strategies
    • 3.17.7 Long-term market evolution scenarios

Chapter 4 Competitive Landscape, 2024

  • 4.1 Introduction
  • 4.2 Company market share analysis
    • 4.2.1 North America
    • 4.2.2 Europe
    • 4.2.3 Asia Pacific
    • 4.2.4 LATAM
    • 4.2.5 MEA
  • 4.3 Competitive analysis of major market players
  • 4.4 Competitive positioning matrix
  • 4.5 Strategic outlook matrix
  • 4.6 Key developments
    • 4.6.1 Mergers & acquisitions
    • 4.6.2 Partnerships & collaborations
    • 4.6.3 New Product Launches
    • 4.6.4 Expansion Plans and funding

Chapter 5 Market Estimates & Forecast, By Service, 2021 - 2034 ($Mn, Units)

  • 5.1 Key trends
  • 5.2 On-demand ride-hailing
  • 5.3 Scheduled/pre-booked rides
  • 5.4 Delivery-integrated services

Chapter 6 Market Estimates & Forecast, By Vehicle, 2021 - 2034 ($Mn, Units)

  • 6.1 Key trends
  • 6.2 ICE motorbikes
  • 6.3 Electric motorbikes
  • 6.4 Other light EVs / scooters

Chapter 7 Market Estimates & Forecast, By Booking Mode, 2021 - 2034 ($Mn, Units)

  • 7.1 Key trends
  • 7.2 App-based booking
  • 7.3 Offline/traditional booking

Chapter 8 Market Estimates & Forecast, By Area of Operation, 2021 - 2034 ($Mn, Units)

  • 8.1 Key trends
  • 8.2 Urban
  • 8.3 Semi-urban / peri-urban
  • 8.4 Rural

Chapter 9 Market Estimates & Forecast, By Business Model, 2021 - 2034 ($Mn, Units)

  • 9.1 Key trends
  • 9.2 Aggregator model
  • 9.3 Owned fleet model
  • 9.4 Hybrid model

Chapter 10 Market Estimates & Forecast, By End Use, 2021 - 2034 ($Mn, Units)

  • 10.1 Key trends
  • 10.2 Daily commuters
  • 10.3 Occasional users
  • 10.4 Corporate travelers
  • 10.5 Delivery clients

Chapter 11 Market Estimates & Forecast, By Region, 2021 - 2034 ($Mn, Units)

  • 11.1 Key trends
  • 11.2 North America
    • 11.2.1 US
    • 11.2.2 Canada
  • 11.3 Europe
    • 11.3.1 Germany
    • 11.3.2 UK
    • 11.3.3 France
    • 11.3.4 Italy
    • 11.3.5 Spain
    • 11.3.6 Russia
    • 11.3.7 Nordics
    • 11.3.8 Portugal
    • 11.3.9 Croatia
  • 11.4 Asia Pacific
    • 11.4.1 China
    • 11.4.2 India
    • 11.4.3 Japan
    • 11.4.4 Australia
    • 11.4.5 South Korea
    • 11.4.6 Singapore
    • 11.4.7 Thailand
    • 11.4.8 Indonesia
    • 11.4.9 Cambodia
    • 11.4.10 Philippines
  • 11.5 Latin America
    • 11.5.1 Brazil
    • 11.5.2 Mexico
    • 11.5.3 Argentina
  • 11.6 MEA
    • 11.6.1 South Africa
    • 11.6.2 Saudi Arabia
    • 11.6.3 UAE
    • 11.6.4 Nigeria
    • 11.6.5 Kenya
    • 11.6.6 Uganda

Chapter 12 Company Profiles

  • 12.1 Global Players
    • 12.1.1 Gojek
    • 12.1.2 Grab
    • 12.1.3 Uber
    • 12.1.4 Bolt
  • 12.2 Regional Players
    • 12.2.1 Angkas
    • 12.2.2 InDriver
    • 12.2.3 JOYRIDE
    • 12.2.4 Ola Bike
    • 12.2.5 Rapido
    • 12.2.6 PickMe
  • 12.3 Emerging Players
    • 12.3.1 HERE
    • 12.3.2 MAX
  • 12.4 Technology Solution Providers
    • 12.4.1 Safeboda
    • 12.4.2 Twilio