查看购物车
  • Traditional Chinese
  • English
  • Japanese
封面
市场调查报告书
商品编码
1916680

全球在超当地语系化旅游即服务 (MaaS) 市场预测至 2032 年：按车辆类型、经营模式、技术、服务类型、最终用户和地区划分

Hyperlocal Mobility-as-a-Service (MaaS) Market Forecasts to 2032 - Global Analysis By Vehicle Type (Two-Wheelers, Three-Wheelers, Four-Wheelers and Autonomous and Electric Vehicles), Business Model, Technology, Service Type, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 | 商品交期: 2-3个工作天内

价格

根据 Stratistics MRC 的一项研究，全球超当地语系化MaaS（出行即服务）市场预计在 2025 年达到 4307 亿美元，预计到 2032 年将达到 11459 亿美元，在预测期内以 15% 的复合年增长率增长。

超当地语系化服务 (MaaS) 指的是一种综合交通模式，它在特定地理区域（例如社区、街区或城市丛集）内提供按需、基于位置的出行解决方案。它将多种交通途径（例如共享单车、电动滑板Scooter、叫车和微型公车）整合到一个数位平台上，使用户能够无缝地规划、预订和支付行程。超当地语系化旅游即服务优先考虑便利性、效率和永续性，透过优化短途出行、缓解交通拥堵和减少碳排放来实现这一目标。数据驱动的方法能够实现即时路线优化、动态定价和个人化出行服务，从而在提升城市交通便利性的同时，促进社区层面的可及性和连结性。

城市壅塞问题日益恶化

城市面临交通壅塞挑战，导致效率降低、出行时间延长。在超当地语系化(MaaS) 平台透过优化路线、共用出行和多模态整合来缓解拥塞。供应商正在将人工智慧驱动的分析技术融入其平台，以增强即时交通管理。对永续和高效交通途径日益增长的需求正在推动大都会圈的MaaS普及。凭藉其直接解决拥塞问题的能力，超当地语系化MaaS已成为城市交通转型的重要驱动力。

高额的基础设施安装成本

建构数位化平台、智慧枢纽和整合支付系统需要大量资金投入。由于预算限制和投资回报的不确定性，小规模的市政当局往往会推迟采用。将出行即服务 (MaaS) 与现有交通网络整合的复杂性也会产生额外成本。不断上涨的能源和维护成本进一步加剧了营运商的财务困境。这些障碍减缓了 MaaS 的普及，因此基础设施的成本效益成为扩展超当地语系化MaaS 解决方案的关键因素。

与智慧城市计画的融合

各国政府正日益将旅游解决方案纳入更广泛的城市现代化规划中。出行即服务 (MaaS) 平台实现了公共交通、共用车辆和微出行服务之间的无缝连接。供应商正在客製化符合永续性目标和数位化管治框架的解决方案。对智慧基础设施投资的不断增加正在推动对整合出行生态系统的需求。与智慧城市的融合不仅促进了出行即服务的应用，也正在将其重新定义为未来城市规划的基础。

与叫车公司的激烈竞争

现有平台凭藉着极具竞争力的价格和大规模的车队规模，主导着城市市场。企业往往更倾向于选择这些现有平台，因为它们可靠且规模庞大，这减少了新进入者的机会。日益激烈的竞争迫使企业不断创新，也带来了高昂的行销成本。小规模的供应商在竞争激烈的市场环境中难以脱颖而出。叫车公司的主导地位正在重塑消费者的预期，使得出行即服务（MaaS）营运商的竞争定位面临巨大挑战。

新冠疫情的感染疾病：

新冠疫情扰乱了城市出行模式，并加速了对灵活出行即服务 (MaaS) 解决方案的需求。一方面，封锁措施导致客流量下降，基础设施计划延长；另一方面，对安全、非接触式和社区化交通途径的需求增加，推动了在超当地语系化平台的普及。企业越来越依赖 MaaS 来确保基本服务的持续性和最后一公里的出行连线。供应商整合了卫生防疫通讯协定、数位支付和即时监控功能，以增强消费者信任。疫情凸显了 MaaS 作为城市出行应对危机情况的弹性框架的重要性。

预计在预测期内，叫车细分市场将占据最大的市场份额。

在预测期内，受拥堵城市对经济实惠且灵活的交通途径的需求驱动，而叫车领域预计将占据最大的市场份额。叫车服务提供的便利性和可近性是传统公共运输所无法比拟的。各公司正在将出行即服务 (MaaS) 整合到其叫车平台中，以提高效率。对多模态连接日益增长的需求正在推动该领域的普及。供应商正在增加对先进路线规划和车辆优化技术的投资，以提高服务的可靠性。叫车的重要性反映了其在超当地语系化即服务 (MaaS) 生态系统中的核心地位。

在预测期内，自动驾驶和电动车领域将实现最高的复合年增长率。

在对永续和智慧交通解决方案日益增长的需求推动下，自动驾驶汽车和电动车 (EV) 细分市场预计将在预测期内实现最高成长率。自动驾驶汽车能够实现更安全、更有效率的路线规划，同时减少对人类的依赖。电动车则提供了更环保的选择，符合全球永续性的要求。供应商正在将人工智慧驱动的编配功能整合到其自动驾驶出行即服务 (MaaS) 平台中，以增强扩充性。对智慧运输计画的不断增加投资正在推动该细分市场的需求。自动驾驶汽车和电动车的成长凸显了它们在重新定义在超当地语系化出行即服务 (MaaS) 方面所发挥的重要作用，并使其成为下一代城市交通的促进者。

占比最大的地区：

由于北美拥有成熟的数位基础设施和消费者对旅游平台的高度接受度，预计在预测期内，北美将占据最大的市场份额。美国和加拿大的公司正主导出行即服务 (MaaS) 整合的投资，以协助城市交通现代化。主要叫车服务和技术提供者的存在进一步巩固了该地区的优势。对永续和多模态交通途径日益增长的需求正在推动大都会圈的MaaS普及。供应商正在整合先进的编配和合规能力，以在竞争激烈的市场中脱颖而出。北美的领先地位体现在其能够将创新、监管和消费者信任整合到超当地语系化的MaaS生态系统中。

预计年复合成长率最高的地区：

亚太地区预计将在预测期内实现最高的复合年增长率，这主要得益于快速的都市化、行动网路普及率的不断提高以及政府主导的智慧城市计划。中国、印度和东南亚国家等正在大力投资出行即服务（MaaS）平台，以支援电子商务、物流和公共交通的整合。该地区的企业正在采用在超当地语系化框架来增强扩充性，并满足消费者即时的出行需求。本地Start-Ups正在部署针对高密度城市生态系统量身定制的高性价比解决方案。政府推行的数位转型和永续交通计画正在加速这一进程。

免费客製化服务：

购买此报告的客户可以选择以下免费自订选项之一：

  • 公司概况
    • 对其他市场参与者（最多 3 家公司）进行全面分析
    • 主要参与者（最多3家公司）的SWOT分析
  • 区域细分
    • 根据客户要求，提供主要国家的市场估算和预测以及复合年增长率（註：可行性需确认）。
  • 竞争标竿分析
    • 根据主要参与者的产品系列、地理覆盖范围和策略联盟进行基准分析

目录

第一章执行摘要

第二章 前言

  • 概括
  • 相关利益者
  • 调查范围
  • 调查方法
  • 研究材料

第三章 市场趋势分析

  • 司机
  • 抑制因素
  • 机会
  • 威胁
  • 技术分析
  • 终端用户分析
  • 新兴市场
  • 新冠疫情的感染疾病

第四章 波特五力分析

  • 供应商的议价能力
  • 买方的议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争对手之间的竞争

5. 全球超当地语系化即服务 (MaaS) 市场（按车辆类型划分）

  • 摩托车
  • 三轮车
  • 四轮车
  • 公共运输共享车辆
  • 自动驾驶汽车和电动车

6. 全球超当地语系化即服务 (MaaS) 市场以经营模式

  • 佣金制收入模式
  • 订阅/会员模式
  • 计量收费模式
  • 广告和数据货币化模式
  • 其他的

7. 全球超当地语系化服务 (MaaS) 市场（按技术划分）

  • 行动预订和用户应用程式
  • 基于人工智慧的路径规划与需求预测
  • 基于物联网的车队追踪和智慧停车
  • 云端 MaaS 平台和 API
  • 数位支付和订阅管理
  • 其他的

8. 全球超当地语系化旅游即服务市场（依服务类型划分）

  • 微移动性
  • 配送移动性
  • 叫车
  • 自动驾驶班车
  • 汽车共享
  • 其他的

9. 全球超当地语系化服务 (MaaS) 市场（按最终用户划分）

  • 个人用户
  • 政府机构
  • 企业/零售商
  • 电子商务平台
  • 餐厅
  • 其他的

第十章：全球超当地语系化服务 (MaaS) 市场区域划分

  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 亚太其他地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 其他南美国家
  • 中东和非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲地区

第十一章 重大进展

  • 协议、伙伴关係、合作和合资企业
  • 併购
  • 新产品发布
  • 业务拓展
  • 其他关键策略

第十二章：企业概况

  • Uber Technologies, Inc.
  • Lyft, Inc.
  • Ola Cabs
  • Rapido Bike Taxi
  • Bounce Infinity
  • Yulu Bikes Pvt. Ltd.
  • BlaBlaCar
  • Grab Holdings Ltd.
  • Gojek
  • Didi Chuxing Technology Co.
  • Bolt Technology OU
  • Free2Move
  • Bird Rides, Inc.
  • Lime（Neutron Holdings, Inc.）
  • Tier Mobility SE
Product Code: SMRC33253

According to Stratistics MRC, the Global Hyperlocal Mobility-as-a-Service (MaaS) Market is accounted for $430.7 billion in 2025 and is expected to reach $1,145.9 billion by 2032 growing at a CAGR of 15% during the forecast period. Hyperlocal Mobility-as-a-Service (MaaS) refers to an integrated transportation model that provides on-demand, location-specific mobility solutions within a confined geographic area, such as a neighborhood, city district, or urban cluster. It combines multiple transport modes-like shared bikes, e-scooters, ride-hailing, and micro-transit-into a single digital platform, enabling users to plan, book, and pay seamlessly. Hyperlocal MaaS prioritizes convenience, efficiency, and sustainability by optimizing short-distance travel, reducing congestion, and lowering carbon emissions. Its data-driven approach allows real-time route optimization, dynamic pricing, and personalized mobility options, enhancing urban mobility while promoting community-level accessibility and connectivity.

Market Dynamics:

Driver:

Growing urban congestion challenges

Cities are struggling with traffic density that reduces efficiency and increases travel times. Hyperlocal MaaS platforms enable optimized routing, shared mobility, and multimodal integration to ease congestion. Vendors are embedding AI-driven analytics into platforms to strengthen real-time traffic management. Rising demand for sustainable and efficient transport is reinforcing adoption across metropolitan areas. The ability to address congestion directly is positioning hyperlocal MaaS as a critical enabler of urban mobility transformation.

Restraint:

High infrastructure implementation costs

Establishing digital platforms, smart hubs, and integrated payment systems requires substantial capital investment. Smaller municipalities often delay deployment due to budget constraints and uncertain ROI. The complexity of integrating MaaS with existing transport networks adds further expense. Rising energy and maintenance costs amplify financial challenges for providers. These barriers are slowing penetration, making infrastructure affordability a decisive factor for scaling hyperlocal MaaS solutions.

Opportunity:

Integration with smart city initiatives

Governments are increasingly embedding mobility solutions into broader urban modernization programs. MaaS platforms enable seamless connectivity between public transport, shared vehicles, and micro-mobility services. Vendors are tailoring solutions to align with sustainability goals and digital governance frameworks. Rising investment in smart infrastructure is reinforcing demand for integrated mobility ecosystems. Smart city integration is not only expanding adoption but redefining MaaS as a cornerstone of future urban planning.

Threat:

Intense competition from ride-hailing firms

Established platforms dominate urban markets with aggressive pricing and extensive fleets. Enterprises often prefer incumbent services for reliability and scale which reduces opportunities for new entrants. Competitive intensity forces continuous innovation and high marketing spend. Smaller vendors struggle to differentiate offerings in a crowded ecosystem. The dominance of ride-hailing firms is reshaping consumer expectations, making competitive positioning a critical challenge for MaaS operators.

Covid-19 Impact:

The Covid-19 pandemic disrupted urban mobility patterns and accelerated demand for flexible MaaS solutions. On one hand, lockdowns reduced ridership and delayed infrastructure projects. On the other hand, rising demand for safe, contactless, and localized transport boosted adoption of hyperlocal platforms. Enterprises increasingly relied on MaaS to ensure continuity in essential services and last-mile connectivity. Vendors embedded hygiene protocols, digital payments, and real-time monitoring to strengthen consumer trust. The pandemic highlighted MaaS as a resilient framework for adapting urban mobility to crisis conditions.

The ride-hailing segment is expected to be the largest during the forecast period

The ride-hailing segment is expected to account for the largest market share during the forecast period, driven by demand for affordable and flexible transport in congested cities. Ride-hailing services provide convenience and accessibility that traditional public transport cannot always match. Enterprises are embedding MaaS integration into ride-hailing platforms to strengthen efficiency. Rising demand for multimodal connectivity is reinforcing adoption in this segment. Vendors are investing in advanced routing and fleet optimization to improve service reliability. The prominence of ride-hailing reflects its role as the anchor service around which hyperlocal MaaS ecosystems are built.

The autonomous and electric vehicles segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the autonomous and electric vehicles segment is predicted to witness the highest growth rate, supported by rising demand for sustainable and intelligent transport solutions. Autonomous fleets enable safer, more efficient routing while reducing human dependency. Electric vehicles provide eco-friendly alternatives that align with global sustainability mandates. Vendors are embedding AI-driven orchestration into autonomous MaaS platforms to strengthen scalability. Rising investment in smart mobility initiatives is reinforcing demand in this segment. The growth of autonomous and electric vehicles highlights their role in redefining hyperlocal MaaS as a driver of next-generation urban transport.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share by mature digital infrastructure and strong consumer adoption of mobility platforms. Enterprises in the United States and Canada are leading investments in MaaS integration to support urban transport modernization. The presence of major ride-hailing and technology providers further strengthens regional dominance. Rising demand for sustainable and multimodal transport is reinforcing adoption across metropolitan areas. Vendors are embedding advanced orchestration and compliance features to differentiate offerings in competitive markets. North America's leadership is defined by its ability to combine innovation, regulation, and consumer trust in hyperlocal MaaS ecosystems.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, fueled by rapid urbanization, expanding mobile penetration, and government-led smart city initiatives. Countries such as China, India, and Southeast Asia are investing heavily in MaaS platforms to support e-commerce, logistics, and public transport integration. Enterprises in the region are adopting hyperlocal frameworks to strengthen scalability and meet consumer demand for instant mobility. Local startups are deploying cost-effective solutions tailored to dense urban ecosystems. Government programs promoting digital transformation and sustainable transport are accelerating adoption.

Key players in the market

Some of the key players in Hyperlocal Mobility-as-a-Service (MaaS) Market include Uber Technologies, Inc., Lyft, Inc., Ola Cabs, Rapido Bike Taxi, Bounce Infinity, Yulu Bikes Pvt. Ltd., BlaBlaCar, Grab Holdings Ltd., Gojek, Didi Chuxing Technology Co., Bolt Technology OU, Free2Move, Bird Rides, Inc., Lime (Neutron Holdings, Inc.) and Tier Mobility SE.

Key Developments:

In March 2025, Ola entered a strategic collaboration with Mahindra & Mahindra to integrate 10,000 electric XUV400 SUVs into its ride-hailing fleet. This partnership focused on enhancing the supply of EVs for its core mobility service while supporting driver-partners with vehicle access.

In November 2024, Uber deepened its integration with public transit by partnering with Dallas Area Rapid Transit (DART), embedding real-time trip planning and booking directly within the DART GoPass app, creating a seamless multi-modal hub.

Vehicle Types Covered:

  • Two-Wheelers
  • Three-Wheelers
  • Four-Wheelers
  • Shared Public Transit Vehicles
  • Autonomous and Electric Vehicles

Business Models Covered:

  • Commission-Based Revenue Model
  • Subscription and Membership Model
  • Pay-Per-Use Model
  • Advertising and Data Monetization Model
  • Other Business Models

Service Types Covered:

  • Micro-Mobility
  • Delivery Mobility
  • Ride-Hailing
  • Autonomous Shuttles
  • Car Sharing
  • Other Service Types

Technologies Covered:

  • Mobile Booking & User Apps
  • AI-Based Routing & Demand Forecasting
  • IoT Fleet Tracking & Smart Parking
  • Cloud MaaS Platforms & APIs
  • Digital Payments & Subscription Management
  • Other Technologies

End Users Covered:

  • Individual Users
  • Government Bodies
  • Businesses / Retailers
  • E-Commerce Platforms
  • Restaurants
  • Other End Users

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 Technology Analysis
  • 3.7 End User Analysis
  • 3.8 Emerging Markets
  • 3.9 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 Mobility-as-a-Service (MaaS) Market, By Vehicle Type

  • 5.1 Introduction
  • 5.2 Two-Wheelers
  • 5.3 Three-Wheelers
  • 5.4 Four-Wheelers
  • 5.5 Shared Public Transit Vehicles
  • 5.6 Autonomous and Electric Vehicles

6 Global Hyperlocal Mobility-as-a-Service (MaaS) Market, By Business Model

  • 6.1 Introduction
  • 6.2 Commission-Based Revenue Model
  • 6.3 Subscription and Membership Model
  • 6.4 Pay-Per-Use Model
  • 6.5 Advertising and Data Monetization Model
  • 6.6 Other Business Models

7 Global Hyperlocal Mobility-as-a-Service (MaaS) Market, By Technology

  • 7.1 Introduction
  • 7.2 Mobile Booking & User Apps
  • 7.3 AI-Based Routing & Demand Forecasting
  • 7.4 IoT Fleet Tracking & Smart Parking
  • 7.5 Cloud MaaS Platforms & APIs
  • 7.6 Digital Payments & Subscription Management
  • 7.7 Other Technologies

8 Global Hyperlocal Mobility-as-a-Service (MaaS) Market, By Service Type

  • 8.1 Introduction
  • 8.2 Micro-mobility
  • 8.3 Delivery mobility
  • 8.4 Ride-hailing
  • 8.5 Autonomous shuttles
  • 8.6 Car sharing
  • 8.7 Other Service Types

9 Global Hyperlocal Mobility-as-a-Service (MaaS) Market, By End User

  • 9.1 Introduction
  • 9.2 Individual users
  • 9.3 Government bodies
  • 9.4 Businesses / retailers
  • 9.5 E-commerce platforms
  • 9.6 Restaurants
  • 9.7 Other End Users

10 Global Hyperlocal Mobility-as-a-Service (MaaS) Market, By Geography

  • 10.1 Introduction
  • 10.2 North America
    • 10.2.1 US
    • 10.2.2 Canada
    • 10.2.3 Mexico
  • 10.3 Europe
    • 10.3.1 Germany
    • 10.3.2 UK
    • 10.3.3 Italy
    • 10.3.4 France
    • 10.3.5 Spain
    • 10.3.6 Rest of Europe
  • 10.4 Asia Pacific
    • 10.4.1 Japan
    • 10.4.2 China
    • 10.4.3 India
    • 10.4.4 Australia
    • 10.4.5 New Zealand
    • 10.4.6 South Korea
    • 10.4.7 Rest of Asia Pacific
  • 10.5 South America
    • 10.5.1 Argentina
    • 10.5.2 Brazil
    • 10.5.3 Chile
    • 10.5.4 Rest of South America
  • 10.6 Middle East & Africa
    • 10.6.1 Saudi Arabia
    • 10.6.2 UAE
    • 10.6.3 Qatar
    • 10.6.4 South Africa
    • 10.6.5 Rest of Middle East & Africa

11 Key Developments

  • 11.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 11.2 Acquisitions & Mergers
  • 11.3 New Product Launch
  • 11.4 Expansions
  • 11.5 Other Key Strategies

12 Company Profiling

  • 12.1 Uber Technologies, Inc.
  • 12.2 Lyft, Inc.
  • 12.3 Ola Cabs
  • 12.4 Rapido Bike Taxi
  • 12.5 Bounce Infinity
  • 12.6 Yulu Bikes Pvt. Ltd.
  • 12.7 BlaBlaCar
  • 12.8 Grab Holdings Ltd.
  • 12.9 Gojek
  • 12.10 Didi Chuxing Technology Co.
  • 12.11 Bolt Technology OU
  • 12.12 Free2Move
  • 12.13 Bird Rides, Inc.
  • 12.14 Lime (Neutron Holdings, Inc.)
  • 12.15 Tier Mobility SE

List of Tables

  • Table 1 Global Hyperlocal Mobility-as-a-Service (MaaS) Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global Hyperlocal Mobility-as-a-Service (MaaS) Market Outlook, By Vehicle Type (2024-2032) ($MN)
  • Table 3 Global Hyperlocal Mobility-as-a-Service (MaaS) Market Outlook, By Two-Wheelers (2024-2032) ($MN)
  • Table 4 Global Hyperlocal Mobility-as-a-Service (MaaS) Market Outlook, By Three-Wheelers (2024-2032) ($MN)
  • Table 5 Global Hyperlocal Mobility-as-a-Service (MaaS) Market Outlook, By Four-Wheelers (2024-2032) ($MN)
  • Table 6 Global Hyperlocal Mobility-as-a-Service (MaaS) Market Outlook, By Shared Public Transit Vehicles (2024-2032) ($MN)
  • Table 7 Global Hyperlocal Mobility-as-a-Service (MaaS) Market Outlook, By Autonomous and Electric Vehicles (2024-2032) ($MN)
  • Table 8 Global Hyperlocal Mobility-as-a-Service (MaaS) Market Outlook, By Business Model (2024-2032) ($MN)
  • Table 9 Global Hyperlocal Mobility-as-a-Service (MaaS) Market Outlook, By Commission-Based Revenue Model (2024-2032) ($MN)
  • Table 10 Global Hyperlocal Mobility-as-a-Service (MaaS) Market Outlook, By Subscription and Membership Model (2024-2032) ($MN)
  • Table 11 Global Hyperlocal Mobility-as-a-Service (MaaS) Market Outlook, By Pay-Per-Use Model (2024-2032) ($MN)
  • Table 12 Global Hyperlocal Mobility-as-a-Service (MaaS) Market Outlook, By Advertising and Data Monetization Model (2024-2032) ($MN)
  • Table 13 Global Hyperlocal Mobility-as-a-Service (MaaS) Market Outlook, By Other Business Models (2024-2032) ($MN)
  • Table 14 Global Hyperlocal Mobility-as-a-Service (MaaS) Market Outlook, By Technology (2024-2032) ($MN)
  • Table 15 Global Hyperlocal Mobility-as-a-Service (MaaS) Market Outlook, By Mobile Booking & User Apps (2024-2032) ($MN)
  • Table 16 Global Hyperlocal Mobility-as-a-Service (MaaS) Market Outlook, By AI-Based Routing & Demand Forecasting (2024-2032) ($MN)
  • Table 17 Global Hyperlocal Mobility-as-a-Service (MaaS) Market Outlook, By IoT Fleet Tracking & Smart Parking (2024-2032) ($MN)
  • Table 18 Global Hyperlocal Mobility-as-a-Service (MaaS) Market Outlook, By Cloud MaaS Platforms & APIs (2024-2032) ($MN)
  • Table 19 Global Hyperlocal Mobility-as-a-Service (MaaS) Market Outlook, By Digital Payments & Subscription Management (2024-2032) ($MN)
  • Table 20 Global Hyperlocal Mobility-as-a-Service (MaaS) Market Outlook, By Other Technologies (2024-2032) ($MN)
  • Table 21 Global Hyperlocal Mobility-as-a-Service (MaaS) Market Outlook, By Service Type (2024-2032) ($MN)
  • Table 22 Global Hyperlocal Mobility-as-a-Service (MaaS) Market Outlook, By Micro-Mobility (2024-2032) ($MN)
  • Table 23 Global Hyperlocal Mobility-as-a-Service (MaaS) Market Outlook, By Delivery Mobility (2024-2032) ($MN)
  • Table 24 Global Hyperlocal Mobility-as-a-Service (MaaS) Market Outlook, By Ride-Hailing (2024-2032) ($MN)
  • Table 25 Global Hyperlocal Mobility-as-a-Service (MaaS) Market Outlook, By Autonomous Shuttles (2024-2032) ($MN)
  • Table 26 Global Hyperlocal Mobility-as-a-Service (MaaS) Market Outlook, By Car Sharing (2024-2032) ($MN)
  • Table 27 Global Hyperlocal Mobility-as-a-Service (MaaS) Market Outlook, By Other Service Types (2024-2032) ($MN)
  • Table 28 Global Hyperlocal Mobility-as-a-Service (MaaS) Market Outlook, By End User (2024-2032) ($MN)
  • Table 29 Global Hyperlocal Mobility-as-a-Service (MaaS) Market Outlook, By Individual Users (2024-2032) ($MN)
  • Table 30 Global Hyperlocal Mobility-as-a-Service (MaaS) Market Outlook, By Government Bodies (2024-2032) ($MN)
  • Table 31 Global Hyperlocal Mobility-as-a-Service (MaaS) Market Outlook, By Businesses / Retailers (2024-2032) ($MN)
  • Table 32 Global Hyperlocal Mobility-as-a-Service (MaaS) Market Outlook, By E-Commerce Platforms (2024-2032) ($MN)
  • Table 33 Global Hyperlocal Mobility-as-a-Service (MaaS) Market Outlook, By Restaurants (2024-2032) ($MN)
  • Table 34 Global Hyperlocal Mobility-as-a-Service (MaaS) Market Outlook, By Other End Users (2024-2032) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.