모터바이크 택시 시장 : 시장 기회, 성장 촉진요인, 산업 동향 분석, 예측(2025-2034년)

The Global Motorbike Taxi Market was valued at USD 13.7 billion in 2024 and is estimated to grow at a CAGR of 7.4% to reach USD 25.4 billion by 2034.

Growing urban congestion, increasing fuel costs, and a demand for faster commute options are accelerating the shift toward motorbike taxi services. These two-wheeler taxis are becoming a reliable alternative to traditional transport in cities with strained infrastructure, enabling faster door-to-door mobility. Operators now rely heavily on digital platforms to match riders and drivers efficiently, ensuring pricing transparency and improved safety. With rising smartphone use and internet penetration, app-based bookings and digital payments have become standard. Advanced technology adoption is also on the rise, featuring AI-powered safety tools, GPS-based route management, and real-time ride monitoring. Fleet owners are increasingly offering electric bike options and customizable ride services, making travel eco-friendlier and more accessible. Smart dashboards, modular plans, and performance tracking tools are also being implemented to streamline operations and boost service quality in both urban and peri-urban zones.

In 2024, the on-demand ride-hailing segment held a 61% share and is set to grow at a CAGR of 7% through 2034. Its flexibility, instant availability, and competitive pricing structure make it the preferred option for commuters seeking fast and affordable rides across busy urban centers. The segment's growth is reinforced by the rising number of app users and the expanding presence of mobility platforms.

The internal combustion engine (ICE) motorbikes segment has a 71% share in 2024 and is projected to grow at a CAGR of 7.5% between 2025 and 2034. The preference for ICE motorbikes remains strong in regions like Asia and Africa due to their affordability, existing refueling networks, and widespread availability. Operators lean toward ICE vehicles for their proven performance, easy maintenance, and low initial costs. However, the global market is gradually shifting toward electric models, driven by changing regulatory frameworks, government support, and the expansion of EV charging infrastructure across emerging economies.

Asia Pacific Motorbike Taxi Market held a 58% share, generating USD 7.9 billion in 2024. The region's booming urban population, strong mobile adoption, and fast integration of digital platforms are key growth enablers. App-based transport, last-mile connectivity solutions, and expanding cashless economies have propelled the popularity of two-wheeler taxis in the region. As demand rises for flexible, affordable, and tech-enabled mobility options, countries across the region are becoming key development hubs for the motorbike taxi industry.

Key companies operating in the Global Motorbike Taxi Market include Rapido, Angkas, Bolt, Safeboda, Uber, InDriver, Ola Bike, JOYRIDE, Gojek, and Grab. To secure their market position, leading motorbike taxi service providers are implementing several strategic approaches. Businesses are aggressively investing in technology to enhance user experience, focusing on real-time tracking, smart pricing algorithms, and safety analytics. Many players are pivoting toward fleet electrification to meet sustainability targets while lowering operational costs. Collaborations with fintech companies are also enabling smoother digital payment integrations. Additionally, these firms are expanding regionally through strategic partnerships, regulatory alignment, and customized offerings to match local commuting needs.

Table of Contents

Chapter 1 Methodology

• 1.1 Market scope and definition
• 1.2 Research design
  • 1.2.1 Research approach
  • 1.2.2 Data collection methods
• 1.3 Data mining sources
  • 1.3.1 Global
  • 1.3.2 Regional/Country
• 1.4 Base estimates and calculations
  • 1.4.1 Base year calculation
  • 1.4.2 Key trends for market estimation
• 1.5 Primary research and validation
  • 1.5.1 Primary sources
• 1.6 Forecast model
• 1.7 Research assumptions and limitations

Chapter 2 Executive Summary

• 2.1 Industry 360⁰ synopsis, 2021 - 2034
• 2.2 Key market trends
  • 2.2.1 Regional
  • 2.2.2 Services
  • 2.2.3 Vehicles
  • 2.2.4 Booking Mode
  • 2.2.5 Area of Operation
  • 2.2.6 Business Model
  • 2.2.7 End Use
• 2.3 TAM Analysis, 2025-2034
• 2.4 CXO perspectives: Strategic imperatives
  • 2.4.1 Executive decision points
  • 2.4.2 Critical success factors
• 2.5 Future outlook and strategic recommendations

Chapter 3 Industry Insights

• 3.1 Industry ecosystem analysis
  • 3.1.1 Supplier landscape
  • 3.1.2 Profit margin analysis
  • 3.1.3 Cost structure
  • 3.1.4 Value addition at each stage
  • 3.1.5 Factor affecting the value chain
  • 3.1.6 Disruptions
• 3.2 Industry impact forces
  • 3.2.1 Growth drivers
    • 3.2.1.1 Rising urbanization and traffic congestion
    • 3.2.1.2 Growing smartphone penetration and app-based platforms
    • 3.2.1.3 Adoption of electric two-wheelers in fleets
    • 3.2.1.4 Increasing focus on affordability and last-mile connectivity
    • 3.2.1.5 Government initiatives and regulatory support
  • 3.2.2 Industry pitfalls and challenges
    • 3.2.2.1 Safety concerns and accident risks
    • 3.2.2.2 Regulatory and legal uncertainties
  • 3.2.3 Market opportunities
    • 3.2.3.1 Expansion of ride-hailing platforms in emerging economies
    • 3.2.3.2 Integration of electric motorbikes into fleets
    • 3.2.3.3 Partnerships with financial and insurance providers
    • 3.2.3.4 Adoption of AI, GPS, and digital safety features
• 3.3 Growth potential analysis
• 3.4 Regulatory landscape
  • 3.4.1 Transportation service licensing requirements
  • 3.4.2 Driver licensing & background check standards
  • 3.4.3 Vehicle safety & insurance regulations
  • 3.4.4 Digital platform regulatory compliance
  • 3.4.5 Cross-border operational requirements
• 3.5 Porter's analysis
• 3.6 PESTEL analysis
• 3.7 Technology and innovation landscape
  • 3.7.1 Current technological trends
    • 3.7.1.1 Mobile application platform development
    • 3.7.1.2 GPS tracking & navigation technology
    • 3.7.1.3 Digital payment system integration
    • 3.7.1.4 AI-powered matching algorithms
    • 3.7.1.5 IoT & connected vehicle technology
  • 3.7.2 Emerging technologies
    • 3.7.2.1 AI-powered ride-matching algorithms
    • 3.7.2.2 Blockchain-based systems
• 3.8 Price trends
  • 3.8.1 By region
  • 3.8.2 By product
• 3.9 Production statistics
  • 3.9.1 Production hubs
  • 3.9.2 Consumption hubs
  • 3.9.3 Export and import
• 3.10 Cost breakdown analysis
• 3.11 Patent analysis
• 3.12 Sustainability and environmental aspects
  • 3.12.1 Sustainable practices
  • 3.12.2 Waste reduction strategies
  • 3.12.3 Energy efficiency in production
  • 3.12.4 Eco-friendly Initiatives
  • 3.12.5 Carbon footprint considerations
  • 3.12.6 Environmental durability standards
• 3.13 Safety & Security Analysis Framework
  • 3.13.1 Driver safety training & certification
  • 3.13.2 Passenger safety measures & protocols
  • 3.13.3 Accident prevention & emergency response
  • 3.13.4 Women's safety features & gender-specific services
  • 3.13.5 Vehicle safety standards & equipment requirements
  • 3.13.6 Insurance coverage & liability management
• 3.14 Driver economics & earnings analysis
  • 3.14.1 Driver income structure & earning potential
  • 3.14.2 Commission models & revenue sharing
  • 3.14.3 Operating cost analysis for drivers
  • 3.14.4 Vehicle financing & ownership models
  • 3.14.5 Driver retention & satisfaction metrics
• 3.15 Customer experience & service quality
  • 3.15.1 Service quality metrics & KPIs
  • 3.15.2 Customer satisfaction & loyalty analysis
  • 3.15.3 Pricing strategy & affordability assessment
  • 3.15.4 Service accessibility & availability
  • 3.15.5 Multi-modal transportation integration
• 3.16 Market entry strategy framework
  • 3.16.1 Regulatory approval & licensing process
  • 3.16.2 Local partnership & joint venture models
  • 3.16.3 Technology localization requirements
  • 3.16.4 Driver recruitment & training programs
  • 3.16.5 Marketing & brand positioning strategies
• 3.17 Future outlook & market opportunities
  • 3.17.1 Electric vehicle integration & sustainability
  • 3.17.2 Autonomous vehicle impact assessment
  • 3.17.3 Smart city integration opportunities
  • 3.17.4 Investment opportunities & funding requirements
  • 3.17.5 Business model innovation & disruption
  • 3.17.6 Risk assessment & mitigation strategies
  • 3.17.7 Long-term market evolution scenarios

Chapter 4 Competitive Landscape, 2024

• 4.1 Introduction
• 4.2 Company market share analysis
  • 4.2.1 North America
  • 4.2.2 Europe
  • 4.2.3 Asia Pacific
  • 4.2.4 LATAM
  • 4.2.5 MEA
• 4.3 Competitive analysis of major market players
• 4.4 Competitive positioning matrix
• 4.5 Strategic outlook matrix
• 4.6 Key developments
  • 4.6.1 Mergers & acquisitions
  • 4.6.2 Partnerships & collaborations
  • 4.6.3 New Product Launches
  • 4.6.4 Expansion Plans and funding

Chapter 5 Market Estimates & Forecast, By Service, 2021 - 2034 ($Mn, Units)

• 5.1 Key trends
• 5.2 On-demand ride-hailing
• 5.3 Scheduled/pre-booked rides
• 5.4 Delivery-integrated services

Chapter 6 Market Estimates & Forecast, By Vehicle, 2021 - 2034 ($Mn, Units)

• 6.1 Key trends
• 6.2 ICE motorbikes
• 6.3 Electric motorbikes
• 6.4 Other light EVs / scooters

Chapter 7 Market Estimates & Forecast, By Booking Mode, 2021 - 2034 ($Mn, Units)

• 7.1 Key trends
• 7.2 App-based booking
• 7.3 Offline/traditional booking

Chapter 8 Market Estimates & Forecast, By Area of Operation, 2021 - 2034 ($Mn, Units)

• 8.1 Key trends
• 8.2 Urban
• 8.3 Semi-urban / peri-urban
• 8.4 Rural

Chapter 9 Market Estimates & Forecast, By Business Model, 2021 - 2034 ($Mn, Units)

• 9.1 Key trends
• 9.2 Aggregator model
• 9.3 Owned fleet model
• 9.4 Hybrid model

Chapter 10 Market Estimates & Forecast, By End Use, 2021 - 2034 ($Mn, Units)

• 10.1 Key trends
• 10.2 Daily commuters
• 10.3 Occasional users
• 10.4 Corporate travelers
• 10.5 Delivery clients

Chapter 11 Market Estimates & Forecast, By Region, 2021 - 2034 ($Mn, Units)

• 11.1 Key trends
• 11.2 North America
  • 11.2.1 US
  • 11.2.2 Canada
• 11.3 Europe
  • 11.3.1 Germany
  • 11.3.2 UK
  • 11.3.3 France
  • 11.3.4 Italy
  • 11.3.5 Spain
  • 11.3.6 Russia
  • 11.3.7 Nordics
  • 11.3.8 Portugal
  • 11.3.9 Croatia
• 11.4 Asia Pacific
  • 11.4.1 China
  • 11.4.2 India
  • 11.4.3 Japan
  • 11.4.4 Australia
  • 11.4.5 South Korea
  • 11.4.6 Singapore
  • 11.4.7 Thailand
  • 11.4.8 Indonesia
  • 11.4.9 Cambodia
  • 11.4.10 Philippines
• 11.5 Latin America
  • 11.5.1 Brazil
  • 11.5.2 Mexico
  • 11.5.3 Argentina
• 11.6 MEA
  • 11.6.1 South Africa
  • 11.6.2 Saudi Arabia
  • 11.6.3 UAE
  • 11.6.4 Nigeria
  • 11.6.5 Kenya
  • 11.6.6 Uganda

Chapter 12 Company Profiles

• 12.1 Global Players
  • 12.1.1 Gojek
  • 12.1.2 Grab
  • 12.1.3 Uber
  • 12.1.4 Bolt
• 12.2 Regional Players
  • 12.2.1 Angkas
  • 12.2.2 InDriver
  • 12.2.3 JOYRIDE
  • 12.2.4 Ola Bike
  • 12.2.5 Rapido
  • 12.2.6 PickMe
• 12.3 Emerging Players
  • 12.3.1 HERE
  • 12.3.2 MAX
• 12.4 Technology Solution Providers
  • 12.4.1 Safeboda
  • 12.4.2 Twilio