Summary
この調査レポートでは、ロボシャトルと自律走行バス業界を包括的に分析し、重要課題、市場ダイナミクス、将来展望について詳細に調査・分析しています。
主な掲載内容(目次より抜粋)
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ロボシャトル:プレーヤーと分析
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自律走行バス:プレーヤーと分析
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実現技術:カメラ サーマルカメラ
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量子ドットを光センサー材料として使用した赤外線、 赤外線、赤外線干渉計
Report Summary
In recent years promise of a public transport revolution is being teased by autonomous buses and roboshuttles. These technologies promise to deliver significant cost reductions for operators and alleviate labor pressures. Although full commercialization remains some distance away, advancements in this sector hold substantial potential for addressing many current industry challenges. This report provides a comprehensive analysis of the roboshuttles and autonomous buses industry, highlighting critical challenges, market dynamics, and future outlook.
Critical Challenges in the Roboshuttles and Autonomous Buses Industry
The development of urban public transportation faces several significant challenges. The rising average age of urban populations exacerbates labor shortages, making it increasingly difficult to find enough drivers to meet demand. This issue is further complicated by the rapid pace of urban development, which creates new challenges for efficient and effective public transportation. Additionally, the continuous improvement of urban infrastructure demands innovative solutions that can adapt to evolving needs. Autonomous buses and roboshuttles offer promising solutions to these problems by potentially replacing drivers in all bus use-cases, supporting drivers in conventional buses, and providing fully automated services in specific operational design domains such as airports.
Replacing drivers with autonomous systems can significantly lower operational costs. Driver salaries constitute a considerable portion of the operational costs for any commercial vehicle, and autonomous technology can offer large potential savings in this area. Furthermore, autonomous technology promises to drastically improve safety by reducing the number of traffic accidents. Human error accounts for 90-95% of all incidents, and autonomy offers a future where traffic accidents are significantly reduced. Cost savings from autonomous technology could also make it feasible to serve previously unprofitable routes, improving mobility in underserved areas such as small villages.
Industry Dynamics and Market Shifts
The roboshuttles market has seen significant shifts in recent years. From 2020 to 2024, the number of players in the market halved, reflecting the typical lifecycle of emerging industry bubbles, where the transition from innovation to commercial viability presents significant challenges. Despite this decrease in player numbers, 2023 saw notable activity in the roboshuttles sector. European leader Navya was acquired and rebranded by a Japanese company, while other financially strong players such as Toyota and Cruise exited the market. Meanwhile, Asian companies like WeRide, QCraft, and PIX Moving are rapidly expanding, demonstrating the dynamic and evolving nature of the industry.
IDTechEx believes that progress in the autonomous buses sector has been slower due to limited commercial scenarios and regulatory challenges. The higher requirements for infrastructure and lack of specific regulations for autonomous buses hinder widespread adoption. Currently, the lack of global regulations defining testing scope and procedures for autonomous buses impacts their deployment. Additionally, the complex environments in which autonomous buses operate, such as high-speed roads, multiple passengers, and intricate urban settings, pose further challenges. As a result, many companies have focused on testing and commercialization in highly controlled environments, such as closed campuses or predefined routes.
Comprehensive Analysis and Future Outlook
This report provides an in-depth analysis of the roboshuttles and autonomous buses industry, including policy support and future forecasts for China, the U.S., and Europe. IDTechEx's research covers a 20-year forecast period, offering detailed market predictions and trends. The report highlights the capabilities of Chinese startups such as WeRide, QCraft, and PIX Moving, and examines different drivetrain configurations. IDTechEx also estimated the manufacturing costs of autonomous shuttles and buses in different markets, revealing a cost disparity of over 3 times. This comprehensive analysis provides valuable insights into the most suitable vehicle capacities and constructive suggestions for industry development.
This report on Roboshuttles and Autonomous Buses provides a detailed analysis of the players and activities within the sector. Current market is contextualised through historical data on sales back to 2019, with regional granularity across China, Europe, USA and RoW. Key challenges and opportunities are identified for the industry, with predictions regarding their commercial deployment and Regional policies. The high-fidelity analysis of each market guides IDTechEx's 20-year forecasts.
Key aspects of this report include:
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An overview of the Roboshuttles and Autonomous Buses industry
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A summary of each player's product, commercialization, and activity
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Roboshuttles and Autonomous Buses trends and performance analysis
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An overview of Enabling Technologies include Cameras, Thermal Cameras, Quantum Dots as Optical Sensor Materials for IR, NIR, SWIR, LiDAR, and Radar.
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Granular 20-year forecasts for Roboshuttles and Autonomous Buses sales and revenue
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Table of Contents
1. |
EXECUTIVE SUMMARY |
1.1. |
Roboshuttles and Autonomous Buses 2024-2044 |
1.2. |
What makes it a roboshuttle? |
1.3. |
Distribution of roboshuttle cities |
1.4. |
Autonomous bus introduction |
1.5. |
Categories of bus |
1.6. |
Technology Readiness |
1.7. |
Different powertrains for different vehicles |
1.8. |
Types of service for roboshuttles and buses |
1.9. |
Number of active companies |
1.10. |
The Sensor Trio |
1.11. |
Sensor suites for Roboshuttles and autonomous buses |
1.12. |
SWOT analysis and comparisons for roboshuttles and autonomous buses |
1.13. |
Commercial readiness and opportunity comparison of roboshuttles and autonomous buses |
1.14. |
IDTechEx predicted timelines |
1.15. |
Roboshuttle and unit sales 2020-2044 |
1.16. |
Roboshuttle revenues, vehicle sales and passenger fares 2022-2044 |
1.17. |
Roboshuttle revenues, vehicle sales and passenger fares 2022-2044 |
1.18. |
Autonomous bus unit sales 2022-2044 |
1.19. |
Autonomous bus unit sales by regions 2022-2044 |
1.20. |
Autonomous bus revenue 2022-2044 |
1.21. |
Autonomous bus revenue by region 2022-2044 |
1.22. |
Roboshuttle and autonomous bus sales revenue 2022-2044 |
1.23. |
Access more with an IDTechEx Subscription |
2. |
ROBOSHUTTLES: PLAYERS AND ANALYSIS |
2.1. |
Introduction |
2.1.1. |
Key Takeaways For Roboshuttles |
2.1.2. |
What Makes it a Roboshuttle? - Part 1 |
2.1.3. |
What Makes it a Roboshuttle? - Part 2 |
2.1.4. |
Table Comparison Of Active Companies |
2.1.5. |
EasyMile |
2.1.6. |
EasyMile Real World Trials And Testing |
2.1.7. |
HOLON |
2.1.8. |
Auve Tech |
2.1.9. |
GAMA (Formerly Navya) |
2.1.10. |
GAMA Use Case Examples |
2.1.11. |
GAMA (Formerly Navya)'s Business Model |
2.1.12. |
Zoox |
2.1.13. |
Zoox Sensor Suite |
2.1.14. |
PIX Moving |
2.1.15. |
Yutong and WeRide |
2.1.16. |
Yutong Use Cases accelerate by WeRide.ai |
2.1.17. |
Qcraft |
2.1.18. |
Apollo - Autonomous Branch of Baidu |
2.1.19. |
Ohmio - Lift |
2.1.20. |
Ohmio Trials |
2.1.21. |
Lohr, Torc and Transdev |
2.1.22. |
Beep -Olli 2.0 |
2.2. |
Roboshuttle projects that have become dormant |
2.2.1. |
Table Comparison Of Inactive Companies |
2.2.2. |
ZF - A Robot Shuttle Future. |
2.2.3. |
ZF - Robot Shuttle Deployment (Rivium3.0) |
2.2.4. |
ZF with authorized service providers and manufacturers |
2.2.5. |
ZF - Strategic Realignment 2030 |
2.2.6. |
Toyota e-PALETTE |
2.2.7. |
Cruise Origin |
2.3. |
Roboshuttle projects that have been discontinued |
2.3.1. |
Table Comparison of Discontinued Companies |
2.3.2. |
NEVS |
2.3.3. |
May Mobility |
2.3.4. |
Higer |
2.3.5. |
Coast |
2.3.6. |
Sensible 4 - GACHA |
2.3.7. |
IAV and the HEAT project |
2.3.8. |
Continental |
2.3.9. |
Bosch |
2.3.10. |
Local Motors - Olli |
2.3.11. |
e.Go Moove |
2.3.12. |
DGWORLD |
2.3.13. |
Projects That Are No Longer Active (1) |
2.3.14. |
Projects That Are No Longer Active (2) |
2.3.15. |
Projects That Are No Longer Active (3) |
2.4. |
Roboshuttles analysis and conclusions |
2.4.1. |
Table Comparison Of Active Companies |
2.4.2. |
Technology Readiness before 2023 |
2.4.3. |
Technology Readiness - Still Active in 2024 |
2.4.4. |
Decline in Roboshuttle Companies (1) |
2.4.5. |
Decline in Roboshuttle Companies (2) |
2.4.6. |
Where Players Exit |
2.4.7. |
Where Are Players In The Value Chain (1) |
2.4.8. |
Where Are Players In The Value Chain (2) |
2.4.9. |
Passenger Capacity |
2.4.10. |
Total Cost of Ownership Analysis (1) |
2.4.11. |
Total Cost of Ownership Analysis (2) |
2.4.12. |
Reasons Roboshuttles Will Succeed (1) |
2.4.13. |
Reasons Roboshuttles Will Succeed (2) |
2.4.14. |
Reasons Roboshuttles Will Succeed (3) |
2.4.15. |
Reasons Roboshuttles Will Fail (1) |
2.4.16. |
IDTechEx Opinion On Roboshuttles |
3. |
AUTONOMOUS BUSES: PLAYERS AND ANALYSIS |
3.1. |
Introduction |
3.1.1. |
Categories of Bus |
3.1.2. |
Bus Category Sizing |
3.1.3. |
Reasons to automate |
3.1.4. |
Types of Autonomous Services |
3.1.5. |
Challenges of Automating |
3.1.6. |
Table Comparison Of Active Players (1) |
3.1.7. |
Table Comparison Of Active Players (2) |
3.2. |
Players - Minibuses |
3.2.1. |
eVersum |
3.2.2. |
King Long |
3.2.3. |
BrightDrive |
3.2.4. |
Aurrigo |
3.2.5. |
Hyundai Autonomous Bus |
3.2.6. |
Volkswagen |
3.2.7. |
Volkswagen ID.Buzz - Sensor Suite |
3.2.8. |
Volkswagens MOIA Project |
3.2.9. |
Perrone Robotics - Overview |
3.2.10. |
Perrone Robotics - Sensor Suite |
3.2.11. |
Perrone Robotics - Deployment And Planned Rollout |
3.3. |
Players - Midibuses |
3.3.1. |
eVersum |
3.3.2. |
ADASTEC |
3.3.3. |
ADASTEC and Karsan - Sensor Suite |
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