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Report Description

Report Description

Forecast Period

2026-2030

Market Size (2024)

USD 65.40 Billion

CAGR (2025-2030)

5.94%

Fastest Growing Segment

P2P

Largest Market

United Kingdom

Market Size (2030)

USD 92.45 Billion

Market Overview:

Europe & CIS Ride Hailing Market was valued at USD 65.40 Billion in 2024 and is expected to reach USD 92.45 Billion by 2030 with a CAGR of 5.94% during the forecast period. The Europe & CIS ride hailing market is witnessing transformative growth driven by shifting consumer behavior, digital integration, and evolving mobility preferences. Growth is propelled by rising demand for on-demand transportation, increasing smartphone and internet penetration, and the integration of digital payment solutions that streamline the booking and transaction process. Urban consumers are showing a clear preference for shared and flexible mobility over vehicle ownership, while governments encourage sustainable transport alternatives, indirectly supporting ride hailing. Trends include the integration of AI and machine learning for route optimization, demand prediction, and dynamic pricing models that enhance efficiency and user satisfaction.

Market Drivers

Increasing Smartphone and Internet Penetration

The widespread availability of smartphones and affordable internet access is a primary enabler for the ride hailing market’s expansion. A growing number of users now rely on mobile apps for daily mobility, making app-based ride booking more intuitive and accessible. The integration of location-based services, cashless payments, and real-time tracking enhances user convenience and trust. These technologies have lowered the barriers to entry for users across different demographics, encouraging the transition from traditional transport modes to digital mobility platforms. With continuous improvements in app interfaces and AI-driven customization, ride hailing platforms are able to cater to individual travel preferences. The digital ecosystem surrounding smartphones also supports features such as fare comparison, driver ratings, and emergency contact options, further strengthening customer engagement. For instance, by 2030, the mobile industry is set to reach significant milestones, with mobile internet penetration surpassing 87% and over 500 million unique subscribers. Smartphone adoption will exceed 90%, while 5G adoption is projected to reach 87%, driven by the rapid decline of legacy networks 2G adoption falling below 1%, 3G below 2%, and 4G dropping to just 12%. With over 574 million 5G connections expected and 4G adoption decreasing steadily from 69% to under 20%, the shift toward next-generation connectivity will define the mobile landscape, signaling a nearly complete transition to high-speed mobile internet by the end of the decade.

Shift from Ownership to Mobility-as-a-Service (MaaS)

Consumer attitudes toward transportation are shifting from vehicle ownership to shared mobility models. Rising urban congestion, high vehicle maintenance costs, parking scarcity, and sustainability concerns have made personal vehicle ownership less attractive. Ride hailing offers a flexible alternative by providing point-to-point transportation without the financial burden of ownership. This transition supports the broader trend of Mobility-as-a-Service (MaaS), where users access transport services on-demand through digital platforms. The convenience of app-based bookings, transparent pricing, and availability of multiple vehicle categories makes ride hailing an appealing daily mobility solution. Many users are adopting ride hailing not just for commuting but for errands, airport transfers, and leisure travel, further embedding the service in routine behavior. Ride hailing also appeals to tourists and short-term visitors who seek hassle-free, localized transport options.

Integration of Digital Payments and Loyalty Programs

The ride hailing experience has been transformed by the seamless integration of digital payments, which eliminate cash handling and simplify transactions. Payment gateways, mobile wallets, and embedded payment systems have significantly enhanced convenience and security for both users and drivers. Instant fare settlements, promotional discounts, and flexible billing options such as split payments and fare estimates contribute to higher customer satisfaction. Loyalty programs tied to digital wallets and platform usage incentivize repeated bookings, offering points, rewards, or discounted future rides. These incentives not only retain existing users but also attract new ones looking for cost-effective mobility options. The digitization of payments also benefits fleet operators and drivers by offering real-time earnings visibility, faster settlements, and reduced risk of fare disputes.  For instance, in 2023, digital payments in the EU retail sector exceeded USD 1.08 trillion annually, more than doubling since 2017, highlighting their critical role in supporting seamless cross-border commerce within the internal market. E-commerce and point-of-sale transactions totaled approximately USD 1.24 trillion, with card payments contributing nearly 80% of this value.

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Key Market Challenges

Regulatory Compliance and Licensing Issues

Ride hailing platforms often face complex regulatory frameworks and licensing hurdles that vary across jurisdictions. Local governments may impose driver background checks, insurance mandates, emissions requirements, and operating permits that increase compliance costs. Sudden policy changes or new regulations targeting platform-based transport services can disrupt operations and limit expansion plans. Platforms must navigate disputes over driver classification, with legal battles centered on whether drivers are independent contractors or employees. These distinctions affect benefits eligibility, taxation, and labor protections, influencing operational models and profitability. Resistance from traditional taxi unions and transport authorities can also fuel stricter controls, protests, or legal injunctions against digital mobility services.

Driver Retention and Satisfaction Concerns

Maintaining a reliable and satisfied driver base is a growing concern for ride hailing platforms. High driver turnover stems from income volatility, long working hours, rising fuel and maintenance costs, and limited access to benefits or job security. As platforms grow, competition among drivers increases, reducing individual earnings and increasing dissatisfaction. Incentive-based earnings structures may not provide long-term financial sustainability for many drivers, especially when demand fluctuates. Drivers often report challenges related to algorithmic management, such as sudden deactivations, reduced ride assignments, or lack of transparency in performance evaluations. Negative user ratings or automated decisions can significantly impact a driver’s earning potential with limited scope for dispute resolution. The absence of health insurance, pension contributions, or other social protections further discourages long-term participation. These issues erode trust and loyalty, pushing drivers to switch platforms or exit the industry.  

Key Market Trends

Adoption of Electric Vehicles in Ride Hailing Fleets

Sustainability priorities are reshaping ride hailing fleets, with a rising share of electric vehicles (EVs) entering service. Regulatory incentives, declining battery costs, and growing environmental awareness are driving this shift. Ride hailing platforms are committing to fleet electrification as part of their climate pledges, and many are offering incentives for drivers who switch to EVs. EVs offer lower operating costs due to reduced fuel and maintenance expenses, which can improve driver profitability over time. However, charging infrastructure availability and vehicle cost remain barriers to widespread adoption. Some platforms are partnering with vehicle manufacturers, leasing companies, and energy providers to accelerate EV access and support. The visible presence of electric ride hailing vehicles also enhances brand perception, appealing to environmentally conscious consumers. For instance, the ride-hailing sector in Europe is undergoing a rapid shift toward electrification, with professional drivers adopting electric vehicles up to five times faster than the general population. A study across 22 European cities identified 380,000 shared vehicles in operation, underscoring the scale of this transition. According to research commissioned by BloombergNEF and Uber, ride-hailing drivers contribute four times more emissions reductions than regular motorists by averaging 250 kilometers of driving per day.

AI-Powered Route Optimization and Demand Forecasting

Artificial intelligence is playing a critical role in improving ride hailing efficiency through real-time route optimization and demand forecasting. AI-driven algorithms analyze traffic patterns, weather conditions, rider behavior, and historical data to recommend the fastest and most fuel-efficient routes. This not only shortens travel time but also reduces fuel costs and emissions. Predictive analytics helps platforms anticipate rider demand by time of day, location, and event occurrence, allowing for better driver allocation and surge pricing management. AI systems can adjust supply in real time to avoid bottlenecks and minimize rider wait times. These systems also support safety features such as driver fatigue detection, ride monitoring, and predictive maintenance alerts for vehicles.

Integration with Multimodal Transport Ecosystems

Ride hailing services are evolving from standalone offerings into integral parts of broader multimodal transport networks. Platforms are increasingly partnering with public transit agencies, bike-sharing services, and micro-mobility providers to offer seamless door-to-door mobility solutions. Users can plan journeys that include multiple modes—such as a ride hailing trip to a metro station—through a single interface. This integration supports the concept of Mobility-as-a-Service (MaaS), where users pay for access to various transport options through a subscription or unified app. Multimodal connectivity enhances user convenience, reduces congestion, and promotes more sustainable urban mobility. Ride hailing fills critical gaps in first-mile and last-mile connectivity, making public transport more viable for longer journeys. Digital platforms facilitate this integration through shared ticketing, scheduling, and payment systems.  

Segmental Insights

Type Insights

In 2024, the e-hailing segment emerged as the dominant force in the Europe & CIS ride hailing market, driven by its convenience, speed, and wide availability across urban areas. Consumers increasingly preferred app-based ride booking due to its user-friendly interfaces, real-time vehicle tracking, transparent pricing, and seamless payment systems. The segment benefited from growing digital literacy and smartphone penetration, which allowed more users to access mobility services instantly without the need for physical infrastructure like taxi stands or rental outlets. E-hailing platforms also attracted drivers due to flexible working hours, higher trip volumes, and access to demand-rich urban clusters. This digital-first model allowed for rapid scaling and better demand-supply alignment through algorithms that match riders with nearby drivers efficiently.

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Country Insights

In 2024, the United Kingdom led the Europe & CIS ride hailing market due to dense urban populations, strong digital infrastructure, and widespread app usage. Consumers favored ride hailing over private cars and taxis, especially in congested cities. Features like digital payments, real-time tracking, and multiple ride options appealed to both residents and visitors. Supportive regulations further enabled consistent service growth. For instance, car sharing is gaining strong momentum in the UK, especially in London, where total membership surpassed 550,000 in 2020, with 189,275 active users. Membership grew by 130% since 2018, driven by the appeal of flexible, affordable access to vehicles without the costs of ownership. Londoners, who benefit from extensive public transport, are increasingly turning to car clubs for specific needs—37% cite faster journey times compared to transit, 31% use it for transporting bulky items, and 24% choose it due to the unaffordability of car ownership.

France followed with high demand in major urban areas where commuters sought flexible, affordable transport. The adoption of hybrid and electric ride hailing vehicles aligned with sustainability targets, strengthening user confidence. Growing smartphone access and digital payment use expanded reach beyond metro cities, while loyalty rewards and dynamic pricing boosted rider retention.

Russia also saw notable growth, driven by large urban populations and rising comfort with digital services. Even with economic constraints, ride hailing remained popular for its convenience, especially in areas with limited public transport. Drivers used platforms for flexible income, and improved routing technology enhanced service reliability, sustaining strong user demand.

Recent Developments

  • ​In 2025, Lyft entered the European market by acquiring FreeNow for €175 million (~$198 million), gaining access to 150 cities including London and Berlin. The move boosts competition with Uber and expands Lyft’s international footprint through FreeNow’s profitable, taxi-focused platform.
  • In 2025, Bolt surpassed €2 billion in revenue, solidifying its position as a leading ride-hailing platform in over 20 markets. The company is preparing for an IPO, with a valuation exceeding €8 billion.
  • In 2025, the EU approved new rules requiring platforms to classify around 5.5 million gig workers as employees, granting them benefits like minimum wage and paid leave, if platforms control their work conditions.
  • Bolt has launched a fleet of 350 Tesla EVs across 10 European cities to promote sustainable ride-hailing, with plans to expand in 2025 as part of its goal to reach net-zero emissions by 2040.

Key Market Players

  • Didi Chuxing Technology Co.
  • Uber Technologies Inc.
  • Lyft Inc. 
  • Grab Holdings Inc.
  • Free now (Daimler) 
  • BlaBla Car 
  • OLA
  • FastGo Vietnam JSC    
  • ZuumViet   
  • Be Group JSC

By Type

By Car Sharing

By Service

By Country

  • E-hailing
  • Station-Based
  • Car Sharing & Rental
  • P2P
  • Corporate
  • Navigation
  • Payment
  • Information
  • Germany
  • Russia
  • France
  • Spain
  • Italy
  • United Kingdom
  • Poland
  • Rest of Europe & CIS

Report Scope:

In this report, the Europe & CIS Ride Hailing Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

  •          Europe & CIS Ride Hailing Market, By Type:

o    E-hailing

o    Station-Based

o    Car Sharing & Rental

  •          Europe & CIS Ride Hailing Market, By Car Sharing:

o    P2P

o    Corporate

  •            Europe & CIS Ride Hailing Market, By Service:

o    Navigation

o    Payment

o    Information

  •         Europe & CIS Ride Hailing Market, By Country:

o    Germany

o    Russia

o    France

o    Spain

o    Italy

o    United Kingdom

o    Poland

o    Rest of Europe & CIS

Competitive Landscape

Company Profiles: Detailed analysis of the major companies presents in the Europe & CIS Ride Hailing Market.

Available Customizations:

Europe & CIS Ride Hailing Market report with the given market data, TechSci Research offers customizations according to the company’s specific needs. The following customization options are available for the report:

Company Information

  • Detailed analysis and profiling of additional market players (up to five).

Europe & CIS Ride Hailing Market is an upcoming report to be released soon. If you wish an early delivery of this report or want to confirm the date of release, please contact us at [email protected]

Table of content

Table of content

1. Introduction

1.1.  Product Overview

1.2.  Key Highlights of the Report

1.3.  Market Coverage

1.4.  Market Segments Covered

1.5.  Research Tenure Considered

2. Research Methodology

2.1.  Methodology Landscape

2.2.  Objective of the Study

2.3.  Baseline Methodology

2.4.  Formulation of the Scope

2.5.  Assumptions and Limitations

2.6.  Sources of Research

2.7.  Approach for the Market Study

2.8.  Methodology Followed for Calculation of Market Size & Market Shares

2.9.  Forecasting Methodology

3. Executive Summary

3.1.  Overview of the Market

3.2.  Overview of Key Market Segmentations

3.3.  Overview of Key Market Players

3.4.  Overview of Key Countries

4. Europe & CIS Ride Hailing Market Outlook

4.1.  Market Size & Forecast

4.1.1.  By Value

4.2.  Market Share & Forecast

4.2.1.  By Type Market Share Analysis (E-hailing, Station-Based, Car Sharing & Rental)

4.2.2.  By Car Sharing Market Share Analysis (P2P, Corporate)

4.2.3.  By Service Market Share Analysis (Navigation, Payment, Information)

4.2.4.  By Country

4.2.5.  By Company (2024)

4.3.  Market Map

5. Germany Ride Hailing Market Outlook

5.1.  Market Size & Forecast 

5.1.1. By Value

5.2.  Market Share & Forecast

5.2.1. By Type Market Share Analysis

5.2.2. By Car Sharing Market Share Analysis

5.2.3. By Service Market Share Analysis

6. Russia Ride Hailing Market Outlook

6.1.  Market Size & Forecast 

6.1.1. By Value

6.2.  Market Share & Forecast

6.2.1. By Type Market Share Analysis

6.2.2. By Car Sharing Market Share Analysis

6.2.3. By Service Market Share Analysis

7. France Ride Hailing Market Outlook

7.1.  Market Size & Forecast 

7.1.1. By Value

7.2.  Market Share & Forecast

7.2.1. By Type Market Share Analysis

7.2.2. By Car Sharing Market Share Analysis

7.2.3. By Service Market Share Analysis

8. Spain Ride Hailing Market Outlook

8.1.  Market Size & Forecast 

8.1.1. By Value

8.2.  Market Share & Forecast

8.2.1. By Type Market Share Analysis

8.2.2. By Car Sharing Market Share Analysis

8.2.3. By Service Market Share Analysis

9. Italy Ride Hailing Market Outlook

9.1.  Market Size & Forecast 

9.1.1. By Value

9.2.  Market Share & Forecast

9.2.1. By Type Market Share Analysis

9.2.2. By Car Sharing Market Share Analysis

9.2.3. By Service Market Share Analysis

10. United Kingdom Ride Hailing Market Outlook

10.1.  Market Size & Forecast    

10.1.1. By Value

10.2.  Market Share & Forecast

10.2.1. By Type Market Share Analysis

10.2.2. By Car Sharing Market Share Analysis

10.2.3. By Service Market Share Analysis

11. Poland Ride Hailing Market Outlook

11.1.  Market Size & Forecast    

11.1.1. By Value

11.2.  Market Share & Forecast

11.2.1. By Type Market Share Analysis

11.2.2. By Car Sharing Market Share Analysis

11.2.3. By Service Market Share Analysis

12. Market Dynamics

12.1.  Drivers

12.2.  Challenges

13. Key Market Disruptions

13.1.  Conflicts

13.2.  Pandemic

13.3.  Trade Barriers

14. Market Trends & Developments

15. Porter's Five Forces Analysis

16. Policy & Regulatory Landscape

17. Competitive Landscape

17.1.  Company Profiles

17.1.1. Didi Chuxing Technology Co.

17.1.1.1.   Business Overview

17.1.1.2.   Company Snapshot

17.1.1.3.   Products & Services

17.1.1.4.   Financials (As Per Availability)

17.1.1.5.   Key Market Focus & Geographical Presence

17.1.1.6.   Recent Developments

17.1.1.7.   Key Management Personnel

17.1.2.   Uber Technologies Inc.

17.1.3.   Lyft Inc. 

17.1.4.  Grab Holdings Inc.

17.1.5.   Free now (Daimler) 

17.1.6.   BlaBla Car 

17.1.7.   OLA

17.1.8.   FastGo Vietnam JSC

17.1.9.   ZuumViet   

17.1.10. Be Group JSC

18. Strategic Recommendations

19. About Us & Disclaimer

Figures and Tables

Frequently asked questions

Frequently asked questions

The market size of the Europe & CIS Ride Hailing Market was estimated to USD 65.40 Billion in 2024.

Major drivers include rising urbanization, increasing smartphone penetration, shift toward shared mobility, growing demand for convenient transport, supportive digital infrastructure, and integration of cashless payments and real-time ride tracking.

Key trends include fleet electrification, AI‑driven route optimization, multimodal mobility integration, dynamic pricing, subscription ride plans, digital wallets, advanced safety features, personalized loyalty programs, and predictive demand forecasting.

Major challenges include intricate regulatory compliance, inconsistent ride-sharing policies, driver retention issues, fluctuating income and operational costs, data privacy concerns, algorithm transparency, and balancing affordability with service profitability.

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