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Global
August 2026

Global Mobility as a Service Market Size, Share & Forecast, By Service Type, Transport Mode & Revenue Model, 2026-2031

2031

The Global Mobility as a Service Market worth USD 11,400 million in 2025 is growing at a CAGR of 22.49% to reach USD 38,500 million by 2031. Uber Technologies, DiDi Global, Grab Holdings, Lyft and BlaBlaCar are the major companies operating in this market.

Report Details

Base Year

2025

Pages

99

Region

Global

Author

Ken Research

Product Code
KR-RPT-V02-04555

CHAPTER 1 - MARKET SUMMARY

Market Overview

The Global Mobility as a Service Market operates as a digital coordination layer across journey planning, booking, payment and service fulfillment. Commercial activity is driven by smartphone access, digital identity and cashless payments rather than vehicle ownership alone. In 2025, almost 75% of the global population used the internet, expanding the addressable base for app-led mobility accounts and real-time multimodal travel decisions.

Supply is concentrated in dense urban corridors where frequent public transport and shared mobility create enough trip liquidity for cross-mode bundling. Asia Pacific is the largest modeled regional pool, supported by rapid metropolitan expansion and a high concentration of megacities. Global projections indicate that close to 90% of incremental urban population through 2050 will be added in Asia and Africa, favoring scalable mobile-first MaaS architectures.

Market Value

USD 11,400 Mn

2025

Dominant Region

Asia Pacific

2025

Dominant Segment

Ride-Hailing and Ride-Sharing

fastest-growing sub-segment: Level 4 Societal Goal Integration

Total Number of Players

640

Future Outlook

The Global Mobility as a Service Market is projected to rise from USD 11,400 Mn in 2025 to USD 38,500 Mn by 2031, reflecting a forecast CAGR of 22.49%. Growth is expected to moderate from the 2020-2025 historical CAGR of 23.93% as the market moves from early platform formation toward scaled integration. Value growth will remain faster than journey growth because platforms are adding ticketing fees, employer mobility accounts, software licensing, analytics and managed-service revenue to basic transaction commissions. The most attractive markets will combine dense transport supply, digital payment readiness, open data frameworks and anchor contracts with transit agencies or enterprise buyers.

By 2031, the strongest profit pools are expected in Level 3 and Level 4 integration, where providers combine service bundles, policy incentives, accessibility controls and carbon-aware routing. MaaS-enabled paid journeys are modeled to increase from 6.00 Bn in 2025 to 14.95 Bn in 2031, while average retained platform revenue per journey rises from USD 1.90 to USD 2.58. Execution will depend on interoperable data standards, neutral access to ticket inventory, reliable settlement and commercially viable revenue sharing with public and private operators. Providers that remain limited to route information or referral traffic will face weaker retention and lower monetization than full-service integrators.

22.49%

Forecast CAGR

$38,500 Mn

2030 Projection

Base Year

2025

Historical Period

2020-2025

Forecast Period

2026-2031

Historical CAGR

23.93%

CHAPTER 2 - SCOPE OF REPORT

Scope of the Market

Click to Explore Interactive Mind Map

CHAPTER 3 - Key Stakeholders

Key Target Audience

Key stakeholders who can leverage from this market analysis for investment, strategy, and operational planning.

Investors

CAGR, take rate, user density, contribution margin, capex

Corporates

commuter spend, policy controls, carbon reporting, employee utilization

Government

modal shift, accessibility, fare integration, data governance, resilience

Operators

journey volume, occupancy, dispatch efficiency, settlement, retention

Financial institutions

platform risk, cash conversion, subsidy exposure, covenant resilience

What You'll Gain

  • Market sizing and trajectory
  • Policy and compliance mapping
  • Revenue model comparison
  • Segment structure and levers
  • Competitive landscape shortlist
  • CEO-grade risk priorities

80+

Pages of insights

CHAPTER 4 - Market Size & Growth

Market Size, Growth Forecast and Trends

This section evaluates the historical market size, analyzes year-over-year growth dynamics, and presents forecast projections supported by market performance indicators and demand-side drivers.

Historical & Projected Market Size ($ Million)

Year-over-Year Growth Rate (%)

Market Value vs Volume Growth (%)

Historical Market Performance (2020-2025)

The market expanded from USD 3,900 Mn in 2020 to USD 11,400 Mn in 2025, producing a five-year CAGR of 23.93%. The weakest annual increase occurred in 2021 at 17.9%, when urban travel demand, transit service levels and shared-mobility supply remained uneven. Growth accelerated to 28.1% in 2025 as superapps, open APIs, mobile ticketing and employer mobility programs broadened revenue beyond trip commissions. Active paying users rose from 235 Mn to 610 Mn, while journey volume increased at a 20.62% CAGR. The inflection reflected both demand recovery and a structural shift from single-mode booking toward integrated accounts and bundled services.

Forecast Market Outlook (2026-2031)

Forecast value is expected to reach USD 38,500 Mn by 2031 at a 22.49% CAGR. Growth is supported by a shift from information-only applications toward unified booking, payment and policy-integrated mobility accounts. MaaS-enabled paid journeys are projected to reach 14.95 Bn, a 16.43% volume CAGR, while retained revenue per journey rises to USD 2.58. This mix change means subscription, licensing, managed-service and analytics revenue should outpace pure booking commissions across mature metropolitan markets. Expansion will be strongest where public authorities mandate usable transport data, employers fund flexible mobility benefits and operators accept standardized commercial settlement through neutral platforms.

CHAPTER 5 - Market Data

Market Breakdown

The Global Mobility as a Service Market is moving from fragmented single-mode aggregation toward monetizable mobility orchestration. For CEOs and investors, the central question is not only trip growth, but the platform's ability to retain revenue through subscriptions, ticketing, APIs and enterprise mobility programs.

Market Breakdown

Historical Data (2020-2024) • Base Data (2025) • Forecast Data (2026-2031)

Year
Market Size (USD Mn)
YoY Growth (%)
MaaS-Enabled Journeys (Bn)
Active Paying Users (Mn)
Average Platform Revenue per Journey (USD)
Period
2020$3,900 Mn+-2.35235
$#%
Forecast
2021$4,600 Mn+17.9%2.75270
$#%
Forecast
2022$5,700 Mn+23.9%3.25330
$#%
Forecast
2023$7,100 Mn+24.6%3.90405
$#%
Forecast
2024$8,900 Mn+25.4%4.75495
$#%
Forecast
2025$11,400 Mn+28.1%6.00610
$#%
Forecast
2026$14,000 Mn+22.8%7.15735
$#%
Forecast
2027$17,100 Mn+22.1%8.40870
$#%
Forecast
2028$20,900 Mn+22.2%9.801,020
$#%
Forecast
2029$25,500 Mn+22.0%11.351,190
$#%
Forecast
2030$31,300 Mn+22.7%13.051,390
$#%
Forecast
2031$38,500 Mn+23.0%14.951,620
$#%
Forecast

MaaS-Enabled Journeys

6.00 Bn, 2025, global modeled scope. Journey density improves routing economics and supplier bargaining power. DiDi reported 18.24 Bn core platform transactions in 2025, illustrating the transaction scale available when mobility networks reach national density.

Active Paying Users

610 Mn, 2025, global modeled scope. User growth expands cross-sell potential for passes, public transport tickets and travel protection. Almost 6 Bn people were online in 2025, leaving a large conversion pool but also a persistent affordability and digital-skills gap.

Average Platform Revenue per Journey

USD 1.90, 2025, global modeled scope. Monetization depends on retained fees rather than gross fares. Uber recorded USD 54.1 Bn in quarterly gross bookings and 3.8 Bn trips in Q4 2025, showing the underlying transaction base against which integrated services can be layered.

CHAPTER 6 - Segmentation

Market Segmentation Framework

Comprehensive analysis across key dimensions providing insights into market structure, consumer preferences, and distribution patterns.

No of Segments

7

Dominant Segment

Service Type

Fastest Growing Segment

Integration Level

Service Type

Ride-Hailing and Ride-Sharing
$%
Public Transit Integration
$%
Car Sharing and Vehicle Subscription
$%
Micromobility Services
$%

Transport Mode

Road-Based Motorized
$%
Rail-Based
$%
Bus-Based
$%
Micromobility
$%

Integration Level

Level 1 Information Integration
$%
Level 2 Booking and Payment Integration
$%
Level 3 Service Offer Integration
$%
Level 4 Societal Goal Integration
$%

Customer Type

Individual Commuters
$%
Leisure and Intercity Travelers
$%
Corporate Mobility Buyers
$%
Public and Institutional Buyers
$%

Deployment Model

Business-to-Consumer Platforms
$%
Business-to-Business Platforms
$%
Business-to-Government Platforms
$%
White-Label MaaS Infrastructure
$%

Revenue Model

Transaction Commission
$%
Subscription Revenue
$%
Platform Licensing
$%
Advertising and Data Services
$%

Geography

Asia Pacific
$%
Europe
$%
Americas
$%
Middle East and Africa
$%

Key Segmentation Takeaways

Comprehensive analysis across all extracted segmentation dimensions providing insights into market structure, consumer preferences, and distribution patterns.

Service Type

Service Type remains dominant because commercial revenue is still anchored in high-frequency ride-hailing and ride-sharing transactions, supplemented by public transport ticketing and car-sharing commissions. Ride-Hailing and Ride-Sharing provides the broadest user liquidity, the most mature payment behavior and the clearest unit economics. Public Transit Integration is strategically important because it increases trip frequency and reduces dependence on a single operator category.

Integration Level

Integration Level is the fastest-growing dimension as cities and enterprise buyers move beyond route information toward unified payment, service bundles and policy-linked mobility accounts. Level 3 Service Offer Integration is scaling through commuter subscriptions and employer allowances, while Level 4 Societal Goal Integration is emerging around carbon-aware routing, accessibility prioritization and incentives that align commercial platforms with public transport and climate objectives.

CHAPTER 7 - Regional Analysis

Regional Analysis

Asia Pacific ranks first among the five modeled regions for platform and integration revenue, supported by dense urban travel, mobile-first payments and large shared-mobility networks. Europe remains the strongest policy-led integration market, while North America retains higher platform monetization per user. Public market estimates also place Asia Pacific as the leading broad MaaS region in 2025.

Focus Region Ranking

1st

Focus Region Market Size (2025)

USD 3,876 Mn

Asia Pacific CAGR (2026-2031)

25.2%

Regional Analysis (Current Year)

Regional Analysis Comparison

MetricAsia PacificEuropeNorth AmericaLatin AmericaMiddle East and Africa
Market Size (USD Mn, 2025)3,8763,1922,622912798
CAGR (%, 2026-2031)25.2%21.9%20.8%24.0%23.4%
Urban Population Share (%, 2025)52%75%83%82%50%
5G Population Coverage (%, 2025)55%81%91%52%25%

Market Position

Asia Pacific ranks 1st with a modeled USD 3,876 Mn in 2025, reflecting scale in China, India, Japan and Southeast Asia, where superapps and mobile payments compress customer acquisition costs.

Growth Advantage

Asia Pacific's projected 25.2% CAGR exceeds Europe's 21.9% and North America's 20.8%, positioning the region as the leading expansion pool for multimodal booking, integrated payment and demand-responsive transit.

Competitive Strengths

The region combines a modeled 55% 5G population coverage, rapid urban growth and large transaction networks. Nearly 90% of incremental urban population through 2050 is expected in Asia and Africa, strengthening long-run trip density.

CHAPTER 8 - INDUSTRY ANALYSIS

Growth Drivers, Challenges & Opportunities

Comprehensive analysis of key factors shaping the Global Mobility as a Service Market, including growth catalysts, operational challenges, and emerging opportunities across platform development, transport integration, distribution and traveler adoption.

Growth Drivers

Mobile Connectivity and Cashless Mobility Accounts

  • More than four in five people own a mobile phone (2025, global), reducing onboarding friction for QR ticketing, account-based fares and real-time disruption alerts. Platforms that integrate payment credentials once can increase repeat use and lower transaction abandonment.
  • Unique mobile subscriber penetration is projected to reach 71% by 2030 (global), expanding the addressable user base for commuter subscriptions and shared-mobility bundles. Value accrues to platforms that can localize pricing, identity and payment flows across diverse telecom ecosystems.
  • 5G covers more than half of the world's population (2025, global), improving map refresh, vehicle location, crowding data and low-latency dispatch. Transit agencies, mobility operators and API providers capture value through more accurate service matching and lower missed-connection risk.

Urbanization and Multimodal Capacity Pressure

  • Urban growth could add roughly 2.5 Bn residents by 2050, with most growth concentrated in Asia and Africa. MaaS platforms benefit where new transport capacity is fragmented across buses, rail, ride-hailing and micromobility and requires a common customer interface.
  • Urban mobility projects completed since 2012 have benefited more than 20 Mn people, demonstrating that mass transit investment expands the service inventory available for digital integration. Ticketing providers, platform operators and transit technology vendors gain recurring integration and support revenue.
  • Road traffic incidents kill or disable about 1.19 Mn people annually, increasing policy pressure for safer public and shared transport options. Platforms that incorporate safety scoring, accessible routing and verified operator data can strengthen public-sector eligibility and user trust.

Policy-Led Data and Ticketing Interoperability

  • An EU assessment of 100 routes found multimodal options in 76% of cases, yet few platforms displayed combined alternatives. This gap creates a monetizable integration opportunity for neutral journey planners, ticket distributors and transport-data infrastructure providers.
  • A survey of 26,000 EU citizens in 2024 found material booking barriers for multimodal and multi-operator journeys. Platforms that aggregate inventory and passenger rights can reduce search costs, lift conversion and attract public-sector support.
  • A global development-finance institution maintained an active transport portfolio of nearly USD 45 Bn in February 2026, signaling a substantial pipeline of transit assets that can be digitally connected. MaaS vendors benefit when funding conditions include open data, integrated fares and user-centered access.

Market Challenges

Fragmented Data Ownership and Uneven Interoperability

  • Platforms must reconcile four core operational data classes (2023, OECD/ITF): schedules, availability, fares and disruptions. Incompatible formats force bespoke city connectors, reducing margins for smaller providers and slowing geographic replication.
  • EU analysis found that more than one-third of multimodal bookers experienced barriers in 2024, including inability to find combinations or buy tickets in one place. Fragmentation directly suppresses conversion and weakens customer confidence in end-to-end journeys.
  • National access points apply across 27 member states (2024, EU), but data quality, refresh rates and commercial ticket access remain uneven. Platforms must invest in validation, fallback routing and service-level monitoring before scaling paid guarantees or integrated passenger protection.

Challenging Unit Economics and Multisided Network Balancing

  • Uber recorded 3.8 Bn trips in Q4 2025, but scale requires continuous spending on incentives, safety, insurance and product expansion. MaaS providers with lower trip frequency need licensing or subscription revenue to avoid overdependence on thin per-booking commissions.
  • DiDi processed 18.24 Bn core platform transactions in 2025, showing that routing, dispatch and support infrastructure must operate at exceptional reliability. Smaller entrants face high fixed costs in mapping, fraud prevention, payments and real-time customer service before reaching efficient utilization.
  • A 100-route assessment (2026, EU) showed extensive multimodal supply but limited combined distribution. Regulated transit fares and dynamic private pricing create bundle conflicts, lengthening contracts and delaying profitable service-offer integration.

Privacy, Labor and Algorithmic Accountability

  • Member states have two years from October 2024 adoption to transpose platform-work rules, creating near-term compliance variability across Europe. Mobility platforms may face higher legal, workforce-management and documentation costs before harmonized implementation becomes clear.
  • MaaS platforms combine four sensitive data domains (2023, OECD/ITF): location, payment, identity and behavioral records. Privacy failures can affect every connected operator, so investors should prioritize consent architecture, purpose limitation, cybersecurity and auditable sharing controls.
  • Directive 2024/2831 (2024, EU) governs algorithmic management affecting dispatch, pricing and worker access. Transparency and human oversight reduce opaque optimization but require explainable models, appeal processes and governance teams.

Market Opportunities

Enterprise Mobility Budgets and Subscription Bundles

  • retained revenue is modeled to rise from USD 1.90 to USD 2.58 per journey (2025-2031, global) as subscriptions combine transit, ride-hailing, micromobility and carbon reporting.
  • a modeled 610 Mn active paying users (2025, global) gives employers, travelers and operators a large conversion base. Platforms capture integration fees, account-management charges and share-of-wallet expansion.
  • evidence from 26,000 surveyed citizens (2024, EU) shows booking friction remains material. Tax treatment, entitlement APIs, operator settlement and unused-balance rules must support multi-provider mobility wallets.

White-Label MaaS for Cities and Transit Agencies

  • a USD 45 Bn transport portfolio (2026, global) supports SaaS licenses, implementation fees, managed-service revenue and API charges for journey planning, ticketing and demand-responsive transit.
  • supported transport programs already benefit 176 Mn people (2026, global). Transit agencies gain faster deployment, cities gain unified demand data and private operators gain standardized distribution access.
  • 27 national access-point regimes (2024, EU) illustrate the need for interoperable platforms, data portability and measurable service outcomes. Contracts should separate public data rights from vendor intellectual property.

Carbon-Aware Routing and Incentive Marketplaces

  • transport emissions increased by nearly 240 Mt CO2 (2023, global), strengthening demand for carbon reporting, incentive administration and lower-emission route prioritization sold through premium B2B and B2G contracts.
  • completed urban mobility projects have benefited more than 20 Mn people (2012-2024, global). Cities gain modal-shift tools, employers gain commuting data and transit operators gain incremental ridership.
  • with transport at 23% of energy-related CO2 emissions (2020 benchmark, global), operators need comparable factors, verified trip data and rules preventing misleading sustainability claims.

CHAPTER 9 - Competitive Landscape

Competitive Landscape Overview

Competition is moderately concentrated in transaction-heavy ride-hailing, but fragmented across public transport integration, white-label MaaS and regional superapps. Entry barriers include user liquidity, operator contracts, regulatory approvals, payment infrastructure and real-time data quality.

Market Share Distribution

Uber Technologies, Inc.
DiDi Global Inc.
Grab Holdings Limited
Lyft, Inc.

Top 5 Players

1
Uber Technologies, Inc.
!$*
2
DiDi Global Inc.
^&
3
Grab Holdings Limited
#@
4
Lyft, Inc.
$
5
BlaBlaCar
&@$
Combined Share$%

Market Dynamics

Local Players70%
Regional/Int'l30%

8 new entrants in the past 5 years, indicating strong market attractiveness and growth potential.

Company Profiles (Top 10 Players)
Company Name
Market Share
Headquarters
Founding Year
Core Market Focus
Uber Technologies, Inc.
-San Francisco, United States2009Multimodal mobility marketplace, ride-hailing, transit integrations and autonomous vehicle distribution
DiDi Global Inc.
-Beijing, China2012Large-scale ride-hailing, taxi aggregation, shared mobility and international mobility platforms
Grab Holdings Limited
-Singapore2012Southeast Asian superapp integrating mobility, payments, enterprise travel and local transport services
Lyft, Inc.
-San Francisco, United States2012Ride-hailing, bikeshare, scooter sharing and multimodal mobility partnerships
BlaBlaCar
-Paris, France2006Intercity carpooling, coach distribution and multimodal ground travel marketplace
Moovit
-Ness Ziona, Israel2012Journey planning, mobile ticketing, transit analytics and white-label MaaS solutions
Via Transportation, Inc.
-New York, United States2012Demand-responsive transit software, microtransit operations and public mobility platforms
SkedGo Pty Ltd
-Sydney, Australia2009White-label trip planning, routing APIs, booking integration and MaaS orchestration
Trafi
-Vilnius, Lithuania2013City mobility platforms, real-time transport information and public-private MaaS integration
UbiGo Innovation AB
-Gothenburg, Sweden2011Subscription-based household mobility bundles integrating public and shared transport

Cross Comparison Parameters

The report provides detailed cross-comparison of key players across 10 performance parameters to identify competitive strengths and weaknesses.

1

Integrated Transport Modes

2

Monthly Active Mobility Users

3

Mobility Revenue Growth

4

Contribution Margin per Journey

Analysis Covered

Market Share Analysis:

Compares platform revenue pools across global and regional operators.

Cross Comparison Matrix:

Benchmarks scale, integration depth, monetization and operating efficiency metrics.

SWOT Analysis:

Assesses strategic assets, vulnerabilities, whitespace opportunities and competitive threats.

Pricing Strategy Analysis:

Evaluates commissions, subscriptions, licensing, bundles and incentive economics.

Company Profiles:

Reviews geographic presence, product scope, partnerships and strategic priorities.

CHAPTER 10 - REPORT TOC

Table of Contents

99Pages
34Chapters
10Companies Profiled
7Segmentation Types

Phase 1
Market Assessment Phase

11

Chapters

Supply-side and competitive intelligence covering market sizing, segmentation, competitive dynamics, regulatory landscape, and future forecasts.

Phase 2
Go-To-Market Strategy Phase

15

Chapters

Entry strategy evaluation, execution roadmap, partner recommendations, and profitability outlook.

Complete Report Coverage

201+ detailed sections covering every aspect of the market

143

Assessment Sections

58

Strategy Sections

CHAPTER 11 - Our Approach

Research Methodology

Desk Research

  • Mapped MaaS platform revenue streams
  • Reviewed transport data access rules
  • Benchmarked multimodal ticketing deployments globally
  • Analyzed operator filings and transactions

Primary Research

  • Interviewed MaaS platform strategy directors
  • Engaged transit authority digital leads
  • Consulted shared mobility operations heads
  • Surveyed enterprise mobility procurement managers

Validation and Triangulation

  • Validated findings across 326 respondents
  • Reconciled platform revenue and journeys
  • Cross-checked regional adoption and regulation
  • Stress-tested take-rate and user assumptions

CHAPTER 12 - FAQ

FAQs

Still have questions?

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CHAPTER 13 - Related Research

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Countries Covered

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