DRT(Demand Responsive Transport) 시장 기회, 성장 촉진요인, 업계 동향 분석, 예측(2024-2032년)

The Global Demand Responsive Transport Market was valued at USD 23.3 billion in 2023 and is projected to grow at a CAGR of 15.6% from 2024 to 2032. The increasing urban population is fueling the need for more flexible and efficient transportation solutions, as traditional fixed-route services are proving inadequate in handling the diverse mobility needs of congested cities. Demand responsive transport offers a more adaptable option, providing enhanced last-mile connectivity and accommodating the ever-changing movement patterns of urban residents. Advances in mobile technology and real-time data analytics are playing a crucial role in enhancing transportation flexibility. As smartphone usage grows, more people can access on-demand services via user-friendly apps.

Real-time tracking and data-driven route optimization have improved operational efficiency and enhanced user experiences by offering more personalized and reliable transit options that can adapt to fluctuating demand. The market is segmented by vehicle type into bus, shuttle, car, and others. In 2023, the bus segment accounted for over 41% of the market. The rise of flexible bus services is reshaping urban transportation by allowing routes and schedules to adjust in response to real-time demand.

This dynamic approach overcomes the limitations of traditional systems, providing more efficient transit solutions. By leveraging technology such as GPS and data analytics, these services can modify routes dynamically, increasing service coverage and minimizing wait times for passengers. In terms of service type, the demand responsive transport market is divided into on-demand, scheduled, and subscription-based services. In 2023, the on-demand segment led the market with a share of over 57%.

The growing preference for on-demand services reflects a shift toward convenience and flexibility, with users increasingly seeking transportation solutions that can be tailored to their immediate needs. This trend is driven by the integration of mobile technology and real-time data analytics, enabling faster, more responsive transit services that cater to varying mobility requirements. North America held the largest share of over 37% in 2023. The widespread adoption of advanced technologies, including real-time analytics and mobile apps, is transforming the transportation landscape. Both urban and suburban areas are increasingly turning to these solutions to offer adaptable, on-demand transit choices that enhance last-mile connectivity and enhance overall service efficiency, marking a significant evolution in modern mobility solutions.

Table of Contents

Chapter 1 Methodology & Scope

• 1.1 Research design
  • 1.1.1 Research approach
  • 1.1.2 Data collection methods
• 1.2 Base estimates and calculations
  • 1.2.1 Base year calculation
  • 1.2.2 Key trends for market estimates
• 1.3 Forecast model
• 1.4 Primary research & validation
  • 1.4.1 Primary sources
  • 1.4.2 Data mining sources
• 1.5 Market definition

Chapter 2 Executive Summary

• 2.1 Industry 360° synopsis, 2021 - 2032

Chapter 3 Industry Insights

• 3.1 Industry ecosystem analysis
• 3.2 Supplier landscape
  • 3.2.1 Vehicle manufacturers
  • 3.2.2 Technology providers
  • 3.2.3 Connectivity and data providers
  • 3.2.4 Payment and transaction systems
  • 3.2.5 Service operators
  • 3.2.6 End users
• 3.3 Profit margin analysis
• 3.4 Technology & innovation landscape
• 3.5 Patent analysis
• 3.6 Key news & initiatives
• 3.7 Technology differentiators
  • 3.7.1 Routing algorithms
  • 3.7.2 Booking interfaces
  • 3.7.3 Vehicle tracking and ETA prediction
  • 3.7.4 Data analytics and demand prediction
• 3.8 Regulatory landscape
• 3.9 Impact forces
  • 3.9.1 Growth drivers
    • 3.9.1.1 Rising urbanization and population density
    • 3.9.1.2 Advancements in mobile apps and GPS technologies
    • 3.9.1.3 Growing demand for flexible mobility solutions
    • 3.9.1.4 Integration with public transportation systems
  • 3.9.2 Industry pitfalls & challenges
    • 3.9.2.1 High initial infrastructure and technology costs
    • 3.9.2.2 Difficulty in scaling services in rural areas
• 3.10 Growth potential analysis
• 3.11 Porter's analysis
• 3.12 PESTEL analysis

Chapter 4 Competitive Landscape, 2023

• 4.1 Introduction
• 4.2 Company market share analysis
• 4.3 Competitive positioning matrix
• 4.4 Strategic outlook matrix

Chapter 5 Market Estimates & Forecast, By Vehicle, 2021 - 2032 ($Bn, Units)

• 5.1 Key trends
• 5.2 Bus
• 5.3 Shuttle
• 5.4 Car
• 5.5 Others

Chapter 6 Market Estimates & Forecast, By Service, 2021 - 2032 ($Bn)

• 6.1 Key trends
• 6.2 On-demand
• 6.3 Scheduled
• 6.4 Subscription-based

Chapter 7 Market Estimates & Forecast, By Technology, 2021 - 2032 ($Bn)

• 7.1 Key trends
• 7.2 Traditional booking system
• 7.3 Mobile apps
• 7.4 Others

Chapter 8 Market Estimates & Forecast, By Application, 2021 - 2032 ($Bn)

• 8.1 Key trends
• 8.2 Urban areas
• 8.3 Rural areas
• 8.4 Corporate
• 8.5 Public sector
• 8.6 Others

Chapter 9 Market Estimates & Forecast, By Region, 2021 - 2032 ($Bn)

• 9.1 Key trends
• 9.2 North America
  • 9.2.1 U.S.
  • 9.2.2 Canada
• 9.3 Europe
  • 9.3.1 UK
  • 9.3.2 Germany
  • 9.3.3 France
  • 9.3.4 Spain
  • 9.3.5 Italy
  • 9.3.6 Russia
  • 9.3.7 Nordics
• 9.4 Asia Pacific
  • 9.4.1 China
  • 9.4.2 India
  • 9.4.3 Japan
  • 9.4.4 South Korea
  • 9.4.5 ANZ
  • 9.4.6 Southeast Asia
• 9.5 Latin America
  • 9.5.1 Brazil
  • 9.5.2 Mexico
  • 9.5.3 Argentina
• 9.6 MEA
  • 9.6.1 UAE
  • 9.6.2 South Africa
  • 9.6.3 Saudi Arabia

Chapter 10 Company Profiles

• 10.1 Arriva
• 10.2 Beeline
• 10.3 Bridj
• 10.4 CleverShuttle
• 10.5 First Transit
• 10.6 Go-Ahead Group
• 10.7 Keolis
• 10.8 Kyyti Group
• 10.9 Lyft
• 10.10 Moia
• 10.11 MVG IsarTiger
• 10.12 Padam Mobility
• 10.13 RATP Dev
• 10.14 RideCo
• 10.15 Shotl
• 10.16 Snap
• 10.17 Transdev
• 10.18 Uber
• 10.19 Via
• 10.20 Zeelo