도시형 MaaS(Mobility as a Service) 시장 예측(-2034년) : 서비스 유형별, 플랫폼 유형별, 교통수단, 차량 유형별, 용도, 최종사용자, 지역별 세계 분석

According to Stratistics MRC, the Global Urban Mobility-as-a-Service (MaaS) Market is accounted for $210.0 billion in 2026 and is expected to reach $620.0 billion by 2034 growing at a CAGR of 14.5% during the forecast period. Urban Mobility-as-a-Service (MaaS) is a digital transportation model that integrates various urban mobility options such as public transit, ride-hailing, bike-sharing, car-sharing, and micro-mobility into a single unified platform. Through mobile applications, users can plan, book, and pay for multiple transportation services within one system. MaaS aims to simplify urban travel, reduce reliance on private vehicles, improve traffic efficiency, and support sustainable transportation. By combining different transport modes, it provides flexible, convenient, and cost-effective mobility solutions for city residents and commuters.

Market Dynamics:

Driver:

Increasing urbanization and traffic congestion

Cities are actively seeking integrated mobility solutions to optimize road usage and reduce private car dependency. MaaS platforms offer real-time route optimization and multi-modal trip combinations, enabling smoother urban movement. Government initiatives promoting shared mobility and public transit integration are accelerating adoption. Rising environmental awareness among commuters is also shifting preferences toward sustainable transport options. As digital infrastructure expands, MaaS provides a viable alternative to vehicle ownership, reducing parking demand and overall urban traffic density significantly.

Restraint:

Data privacy and interoperability challenges

Integrating diverse transport operators with varying technical standards creates significant interoperability hurdles, limiting seamless user experiences. Smaller mobility providers often lack the API infrastructure required for full platform integration. Fragmented payment systems and ticketing protocols further complicate cross-service functionality. Without standardized data-sharing frameworks, platform scalability remains constrained. These challenges slow down widespread MaaS adoption, particularly in regions with fragmented transport governance and limited digital maturity.

Opportunity:

Integration with autonomous and electric vehicles

Self-driving vehicles can be dynamically deployed based on real-time demand, reducing operational costs and improving service reliability. Electric scooters, e-bikes, and EV ride-hailing fleets align with urban decarbonization goals, attracting government subsidies and green mobility funding. MaaS providers can integrate these emerging technologies to offer cleaner, cheaper, and more efficient transport options. Partnerships with EV charging networks and autonomous fleet operators will enable round-the-clock service availability. This convergence is poised to redefine urban mobility ecosystems.

Threat:

Rising operational costs and regulatory fragmentation

MaaS operators face escalating costs related to fleet maintenance, insurance, licensing, and technology upgrades, squeezing profit margins. Local regulations governing ride-hailing, bike sharing, and scooter deployments vary widely across cities, complicating expansion strategies. Some municipalities impose caps on shared mobility vehicles or require special permits, limiting operational flexibility. Competition from well-funded ride-hailing giants and public transit agencies further pressures smaller MaaS players. Without sustainable revenue models or government-backed mobility budgets, many platforms risk service reductions or market exit, undermining long-term growth.

Covid-19 Impact

The pandemic initially devastated shared mobility demand as lockdowns and hygiene concerns reduced ride-hailing and public transit usage significantly. However, it accelerated contactless payments, digital ticketing, and private micro-mobility adoption, with e-scooters and e-bikes witnessing surging demand. MaaS platforms pivoted to prioritize sanitation tracking, occupancy limits, and real-time crowding information. Post-pandemic recovery has seen renewed interest in multimodal platforms as commuters seek flexible, resilient alternatives to crowded public transport. Cities are now integrating MaaS into sustainable urban mobility plans, emphasizing health-safe, low-emission travel options across the value chain.

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 due to its widespread availability, user familiarity, and on-demand convenience. It serves diverse commuting needs across daily work trips, airport transfers, and late-night travel. Integration with mapping apps and digital wallets has simplified booking and payments. Real-time ride tracking and dynamic pricing optimize vehicle utilization. Growing partnerships between ride-hailing firms and public transit agencies enable first-mile/last-mile connectivity.

The micro-mobility segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the micro-mobility segment is predicted to witness the highest growth rate, driven by rising demand for eco-friendly, cost-effective short-distance travel. E-scooters and e-bikes offer flexible, dockless access for trips under five kilometers, reducing reliance on cars. Urban regulations promoting low-emission zones and dedicated micro-mobility lanes are accelerating deployment. Battery technology improvements are extending vehicle range and reducing maintenance costs.

Region with largest share:

During the forecast period, the Europe region is expected to hold the largest market share fueled by strong government support for sustainable urban transport and multimodal integration. The European Union's clean mobility directives and funding for smart city projects have accelerated MaaS adoption. Countries like Finland, Germany, and the Netherlands host mature platforms such as Whim and Moovel. Cross-border interoperability initiatives and open-data policies further strengthen Europe's leadership in MaaS deployment and innovation.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, supported by rapid urbanization, rising disposable incomes, and aggressive digital adoption. China, India, and Southeast Asian nations are witnessing explosive growth in ride-hailing, bike sharing, and micro-mobility services. Government smart city missions and investments in public transit digitization are enabling MaaS pilot projects. High smartphone penetration and low-cost mobile data facilitate platform scalability. As megacities seek congestion relief, Asia Pacific is becoming the fastest-growing MaaS market globally.

Key players in the market

Some of the key players in Urban Mobility-as-a-Service (MaaS) Market include Uber Technologies Inc., Lyft, Inc., DiDi Chuxing Technology Co., Grab Holdings Inc., Ola Cabs, BlaBlaCar, Gett, Inc., Careem Networks FZ-LLC, Bolt Technology OU, Moovit Inc., MaaS Global Ltd., Citymapper Ltd., Transit App, Inc., SkedGo Pty Ltd., and Lime.

Key Developments:

In April 2026, Uber Technologies, Inc. and Ace Hardware announced a new partnership that will bring over 3,700 Ace Hardware locations across all 50 states to the Uber Eats platform. Together, Ace's neighborhood footprint and Uber's delivery technology make it even easier for consumers to shop for home improvement essentials with just a few taps. Live today, customers can shop their neighborhood Ace Hardware on the Uber Eats app for convenient on-demand or scheduled delivery.

In March 2026, Lyft announced it will use NVIDIA AI to enhance the company's machine learning systems across its global operations. The work spans across AI-driven mobility services Lyft continues to invest in, including enterprise AI infrastructure, next-generation mapping systems, and future Level 4 autonomous fleet architectures powered by NVIDIA DRIVE Hyperion.

Service Types Covered:

• Ride-Hailing
• Car Sharing
• Bike Sharing
• Micro-Mobility
• Public Transit Integration
• Shuttle Services
• Other Service Types

Platform Types Covered:

• Technology Platforms
• Payment Engines
• Navigation & Route Planning
• Customer Engagement/Support Solutions
• Backend Infrastructure & Connectivity
• Software & Analytics Tools

Transportation Modes Covered:

• Public Transportation
• Private Transportation
• Hybrid Models

Vehicle Types Covered:

• Micro-Mobility Vehicles
• Four-Wheel Vehicles
• Buses & Coaches
• Other Mobility Vehicles

Applications Covered:

• Personal Mobility
• Business Mobility Solutions
• First-Mile/Last-Mile Connectivity
• Leisure & Tourism
• Special Use Cases

End Users Covered:

• Individual Commuters
• Corporate/Business Users
• Government & Municipal Agencies
• Tourists & Visitors
• Students & Special-Needs Groups

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 Urban Mobility-as-a-Service (MaaS) Market, By Service Type

• 5.1 Ride Hailing
  • 5.1.1 On Demand Rides
  • 5.1.2 Scheduled & Pre Booked Rides
  • 5.1.3 Shared/Pooled Rides
• 5.2 Car Sharing
  • 5.2.1 Station Based
  • 5.2.2 Free Floating
  • 5.2.3 Peer to Peer (P2P)
• 5.3 Bike Sharing
• 5.4 Micro Mobility
• 5.5 Public Transit Integration
• 5.6 Shuttle Services
• 5.7 Other Service Types

6 Global Urban Mobility-as-a-Service (MaaS) Market, By Platform Type

• 6.1 Technology Platforms
• 6.2 Payment Engines
• 6.3 Navigation & Route Planning
• 6.4 Customer Engagement/Support Solutions
• 6.5 Backend Infrastructure & Connectivity
• 6.6 Software & Analytics Tools

7 Global Urban Mobility-as-a-Service (MaaS) Market, By Transportation Mode

• 7.1 Public Transportation
• 7.2 Private Transportation
• 7.3 Hybrid Models

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

• 8.1 Micro Mobility Vehicles
  • 8.1.1 E Scooters
  • 8.1.2 E Bikes
  • 8.1.3 E Mopeds
• 8.2 Four Wheel Vehicles
• 8.3 Buses & Coaches
• 8.4 Other Mobility Vehicles

9 Global Urban Mobility-as-a-Service (MaaS) Market, By Application

• 9.1 Personal Mobility
• 9.2 Business Mobility Solutions
• 9.3 First Mile/Last Mile Connectivity
• 9.4 Leisure & Tourism
• 9.5 Special Use Cases

10 Global Urban Mobility-as-a-Service (MaaS) Market, By End User

• 10.1 Individual Commuters
• 10.2 Corporate/Business Users
• 10.3 Government & Municipal Agencies
• 10.4 Tourists & Visitors
• 10.5 Students & Special Needs Groups

11 Global Urban Mobility-as-a-Service (MaaS) 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 Uber Technologies Inc.
• 14.2 Lyft, Inc.
• 14.3 Didi Chuxing Technology Co.
• 14.4 Grab Holdings Inc.
• 14.5 Ola Cabs
• 14.6 BlaBlaCar
• 14.7 Gett, Inc.
• 14.8 Careem Networks FZ LLC
• 14.9 Bolt Technology OU
• 14.10 Moovit Inc.
• 14.11 MaaS Global Ltd.
• 14.12 Citymapper Ltd.
• 14.13 Transit App, Inc.
• 14.14 SkedGo Pty Ltd.
• 14.15 Lime