Strategic Insight into the Global Autonomous Shuttle Market, Forecast to 2030
Autonomous Shuttles to Constitute 50% of the DRT Market; Cost Considerations, Fleet Efficiency, and Wide-Ranging Use Cases as the Key Driving Forces
23-Aug-2019
Europe
Market Research
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The advent of new mobility services such as carsharing, bikesharing, ridesharing, ride hailing, and demand responsive transit (DRT) has brought the concept of shared mobility to center stage. Growing environmental concerns, congestion, lack of parking, vertical expansion in most emerging cities, and smart city initiatives have spearheaded a new revolution in mobility – from single occupancy (ride hailing) to multiple occupancy shared mobility (ride sharing, DRT).
Advanced technology platforms are being leveraged that help improve fleet optimization and precise fleet sizing across all mobility modes. Autonomous mobility services are emerging as an amalgamation of all possible solutions to urban mobility issues – highly efficient fleets that operate for more than 20 hours in a day, shared mobility services, compact vehicles, and limited number of active vehicles on the roads.
This study analyzes the emerging autonomous shuttle mobility market from different perspectives – stakeholder ecosystem and the growing significance of OEMs, autonomous startups, technology platforms and cities, regulatory outlook and commercialization potential, possible business and revenue models, cost comparisons, the importance of data and data sharing, and the global market outlook. Autonomous vehicle designing, parking, maintenance and repair, and insurance are some of the key markets that are expected to be disrupted by the advent of autonomous shuttles.
While commercialization in developed markets is expected by 2019, commercial autonomous shuttle services are expected post-2021 in emerging markets. Commercialization, however, will require substantial capital investment due to factors such as low awareness, low utilization rates, and high initial capital outlay for operations. Government funding will play a critical role in determining success for the market. Cities and transit agencies will be instrumental in implementing the services – integrating autonomous shuttle into the public transit system. Determining proper use cases and deploying the shuttles accordingly will lead to higher adoption and uptake rates. The current use case typically includes last mile connectivity; however, it can be expanded to suit a wide range of mobility requirements across geofenced and non-geofenced operations - in the short run, autonomous shuttles are expected to continue being geofenced and supervised. In the mid to long term, autonomous shuttles will gradually move towards being unsupervised and will operate on non-geofenced routes.
The autonomous shuttle market is currently dominated by vehicle manufacturers and technology platforms such as Easymile, Navya, Aptiv, May Mobility, Bestmile, Oxbotica, and Sensible 4. However, it is expected that all service providers will move towards becoming a platform – controlling every part of the value chain.
As the market evolves, new business models such as autonomous delivery and logistics services are expected to gain significance. A number of pilots, including pilots by OEMs such as Ford and GM, are being undertaken for autonomous deliveries.
With robust market potential and growth trajectory, the autonomous shuttle market is expected to constitute 50% of the demand responsive transit market by 2030.
Key Findings
Transition from Single Occupancy Shared Mobility towards Shared Mobility Modes
Key Application Areas of Geofenced Autonomous Shuttles
Key Application Areas of Non-Geofenced Autonomous Shuttles
Initiatives Across the Globe—Public-Private Integration
Snapshot of the Key Markets—Feasibility Analysis and Timeline
Market Developments
Market Developments (continued)
Regulatory Landscape
Regulatory Landscape (continued)
Key Findings and Future Outlook
Research Scope
Research Aims and Objectives
Key Questions This Study Will Answer
Research Background
Research Methodology
Autonomous Shuttle Market—Segmentation
Demand-Responsive Transit—Market Definitions
Value Chain and Business Models
Pricing Models
O&M—Cost Assumptions
O&M Scenario—Operating Factors
O&M Scenario—Cost Analysis
Major OEM Strategy—Stepwise Introduction of Automated Driving (AD)
Future Roadmap—Autonomous Driving
Expanding Demand—Benefits and Applications of Autonomous Shuttles
Market Potential for Autonomous Shuttles across Applications
Value Chain Analysis—Aftermarket Solution Providers
Value Chain Analysis—Aftermarket Solution Providers (continued)
Value Chain Analysis—Aftermarket Solution Providers (continued)
Data Analytics—Leveraging Data as well as Providing User Insights
Data Analytics—Leveraging Data as well as Providing User Insights (continued)
Data Analytics—Leveraging Data as well as Providing User Insights (continued)
Mobility Use Case 1— Lyft
Technology Use Case 1—HERE’s Real-time Traffic Service
Autonomous Shuttle Manufacturing Startups
Autonomous Shuttle Technology Startups
Impending Advent of Automated Taxis
The Emerging Urban Mobility Landscape
Real Impact of Autonomous Shuttles—Boost to Economy
Regulatory Outlook—North America: United States
Regulatory Outlook—North America: Canada
Regulatory Outlook—Europe
Regulatory Outlook—Europe (continued)
Regulatory Outlook—Asia: China, Japan, Singapore, South Korea
Regulatory Outlook—Asia: China, Japan, Singapore, South Korea (continued)
Regulatory Outlook—Oceania: Australia and New Zealand
Regulatory Outlook—Oceania: Australia and New Zealand (continued)
Regulatory Outlook—The Middle East: Dubai (UAE)
2025 Cost Comparison—Autonomous Shuttles vs. Traditional Shuttles
Autonomous Shuttles and Cost Remodelling—2017 vs. 2025
Evolution of Autonomous Shuttles
Impact of Blockchain Technology on the Autonomous Shuttles
Navya—Company Profile
Bestmile—Company Profile
May Mobility—Company Profile
Postbus—Company Profile
Transdev—Company Profile
Ridecell—Company Profile
Driverless Delivery Shuttles
Driverless Delivery Shuttles (continued)
Autonomous Car Concepts
Autonomous Car Concepts (continued)
Autonomous Car Concepts (continued)
Autonomous Shuttles Unit Shipment Forecast Scenario Analysis
Autonomous Shuttles Revenue Forecast Scenario Analysis
Market Opportunities
Key Conclusions and Future Outlook
Growth Opportunity—Partnerships, New Business Models, and New Technology
Strategic Imperatives for Success and Growth
The Last Word—3 Big Predictions
Legal Disclaimer
Abbreviations and Acronyms Used
Abbreviations and Acronyms Used (continued)
Market Engineering Methodology
List of Exhibits
List of Exhibits (continued)
List of Exhibits (continued)
List of Exhibits (continued)
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Deliverable Type | Market Research |
---|---|
No Index | No |
Podcast | No |
Predecessor | None |
Author | Ayush Patodia |
Industries | Automotive |
WIP Number | MEA6-01-00-00-00 |
Is Prebook | No |
GPS Codes | 9673-A6,9800-A6,9807-A6,9801-A6,9A57-A6 |