首頁 > 市場調查報告書 > 汽車工業

遠距傳送 ADAS LBS IoT 雲端服務智能交通

市場調查報告書

商品編碼

1916680

全球在超當地語系化旅遊即服務 (MaaS) 市場預測至 2032 年：按車輛類型、經營模式、技術、服務類型、最終用戶和地區分類

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: 2026年01月01日 | 出版商:

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

價格

簡介目錄圖表

根據 Stratistics MRC 的一項研究，全球超當地語系化MaaS（出行即服務）市場預計在 2025 年達到 4307 億美元，預計到 2032 年將達到 11459 億美元，在預測期內以 15% 的複合年成長率成長。

超當地語系化服務 (MaaS) 指的是一種綜合交通模式，它在特定地理區域（例如社區、街區或城市叢集）內提供按需、基於位置的出行解決方案。它將多種交通途徑（例如共享單車、電動滑板Scooter、叫車和微型公車）整合到一個數位平台上，使用戶能夠無縫地規劃、預訂和支付行程。超當地語系化旅遊即服務優先考慮便利性、效率和永續性，透過最佳化短途出行、緩解交通堵塞和減少碳排放來實現這一目標。數據驅動的方法能夠實現即時路線最佳化、動態定價和個人化出行服務，從而在提升城市交通便利性的同時，促進社區層面的可及性和連結性。

城市壅塞問題日益惡化

城市面臨交通壅塞挑戰，導致效率降低、出行時間延長。在超當地語系化(MaaS) 平台透過最佳化路線、共用出行和多模態整合來緩解擁塞。供應商正在將人工智慧驅動的分析技術融入其平台，以增強即時交通管理。對永續和高效交通途徑日益成長的需求正在推動大都會圈的MaaS普及。憑藉其直接解決擁塞問題的能力，超當地語系化MaaS已成為城市交通轉型的重要驅動力。

高額的基礎設施安裝成本

建構數位化平台、智慧樞紐和整合支付系統需要大量資金投入。由於預算限制和投資回報的不確定性，小規模的市政當局往往會推遲採用。將出行即服務 (MaaS) 與現有交通網路整合的複雜性也會產生額外成本。不斷上漲的能源和維護成本進一步加劇了營運商的財務困境。這些障礙減緩了 MaaS 的普及，因此基礎設施的成本效益成為擴展超當地語系化MaaS 解決方案的關鍵因素。

與智慧城市計畫的融合

各國政府正日益將旅遊解決方案納入更廣泛的城市現代化規劃中。出行即服務 (MaaS) 平台實現了公共交通、共用車輛和微出行服務之間的無縫連接。供應商正在客製化符合永續性目標和數位化管治框架的解決方案。對智慧基礎設施投資的不斷增加正在推動對整合出行生態系統的需求。與智慧城市的融合不僅促進了出行即服務的應用，也正在將其重新定義為未來城市規劃的基礎。

與叫車公司的激烈競爭

現有平台憑藉著極具競爭力的價格和大規模的車隊規模，主導著城市市場。企業往往更傾向於選擇這些現有平台，因為它們可靠且規模龐大，這減少了新進入者的機會。日益激烈的競爭迫使企業不斷創新，也帶來了高昂的行銷成本。小規模的供應商在競爭激烈的市場環境中難以脫穎而出。叫車公司的主導地位正在重塑消費者的預期，使得出行即服務（MaaS）營運商的競爭定位面臨巨大挑戰。

新冠疫情的感染疾病：

新冠疫情擾亂了城市出行模式，並加速了對靈活出行即服務 (MaaS) 解決方案的需求。一方面，封鎖措施導致客流量下降，基礎設施計劃延長；另一方面，對安全、非接觸式和社區化交通途徑的需求增加，推動了在超當地語系化平台的普及。企業越來越依賴 MaaS 來確保基本服務的持續性和最後一公里的出行連線。供應商整合了衛生防疫通訊協定、數位支付和即時監控功能，以增強消費者信任。疫情凸顯了 MaaS 作為城市出行應對危機情況的彈性框架的重要性。

預計在預測期內，叫車細分市場將佔據最大的市場佔有率。

在預測期內，受堵塞城市對經濟實惠且靈活的交通途徑的需求驅動，而叫車領域預計將佔據最大的市場佔有率。叫車服務提供的便利性和可近性是傳統公共運輸所無法比擬的。各公司正在將出行即服務 (MaaS) 整合到其叫車平台中，以提高效率。對多模態連接日益成長的需求正在推動該領域的普及。供應商正在增加對先進路線規劃和車輛最佳化技術的投資，以提高服務的可靠性。叫車的重要性反映了其在超當地語系化即服務 (MaaS) 生態系統中的核心地位。

在預測期內，自動駕駛和電動車領域將實現最高的複合年成長率。

在對永續和智慧交通解決方案日益成長的需求推動下，自動駕駛汽車和電動車 (EV) 細分市場預計將在預測期內實現最高成長率。自動駕駛汽車能夠實現更安全、更有效率的路線規劃，同時減少對人類的依賴。電動車則提供了更環保的選擇，符合全球永續性的要求。供應商正在將人工智慧驅動的編配功能整合到其自動駕駛出行即服務 (MaaS) 平台中，以增強擴充性。對智慧運輸計畫的不斷增加投資正在推動該細分市場的需求。自動駕駛汽車和電動車的成長凸顯了它們在重新定義在超當地語系化出行即服務 (MaaS) 方面所發揮的重要作用，並使其成為下一代城市交通的促進者。

佔比最大的地區：

由於北美擁有成熟的數位基礎設施和消費者對旅遊平台的高度接受度，預計在預測期內，北美將佔據最大的市場佔有率。美國和加拿大的公司正主導出行即服務 (MaaS) 整合的投資，以協助城市交通現代化。主要叫車服務和技術提供者的存在進一步鞏固了該地區的優勢。對永續和多模態交通途徑日益成長的需求正在推動大都會圈的MaaS普及。供應商正在整合先進的編配和合規能力，以在競爭激烈的市場中脫穎而出。北美的領先地位體現在其能夠將創新、監管和消費者信任整合到超當地語系化的MaaS生態系統中。

預計年複合成長率最高的地區：

亞太地區預計將在預測期內實現最高的複合年成長率，這主要得益於快速的都市化、行動網路普及率的不斷提高以及政府主導的智慧城市計劃。中國、印度和東南亞國家等正在大力投資出行即服務（MaaS）平台，以支援電子商務、物流和公共交通的整合。該地區的企業正在採用在超當地語系化框架來增強擴充性，並滿足消費者即時的出行需求。本地Start-Ups正在部署針對高密度城市生態系統量身定做的具成本效益解決方案。政府推行的數位轉型和永續交通計畫正在加速這一進程。

免費客製化服務：

購買此報告的客戶可以選擇以下免費自訂選項之一：

公司概況
- 對其他市場參與者（最多 3 家公司）進行全面分析
- 主要參與者（最多3家公司）的SWOT分析
區域細分
- 根據客戶要求，提供主要國家的市場估算和預測以及複合年成長率（註：可行性需確認）。
競爭標竿分析
- 根據主要參與者的產品系列、地理覆蓋範圍和策略聯盟進行基準分析

北美洲
- 美國
- 加拿大
- 墨西哥
歐洲
- 德國
- 英國
- 義大利
- 法國
- 西班牙
- 其他歐洲
亞太地區
- 日本
- 中國
- 印度
- 澳洲
- 紐西蘭
- 韓國
- 亞太其他地區
南美洲
- 阿根廷
- 巴西
- 智利
- 其他南美國家
中東和非洲
- 沙烏地阿拉伯
- 阿拉伯聯合大公國
- 卡達
- 南非
- 其他中東和非洲地區

第11章重大進展

協議、夥伴關係、合作和合資企業
併購
新產品發布
業務拓展
其他關鍵策略

第12章：企業概況

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

簡介目錄圖表

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

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

簡介目錄圖表

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)