PUBLISHER: Global Market Insights Inc. | PRODUCT CODE: 1524282
PUBLISHER: Global Market Insights Inc. | PRODUCT CODE: 1524282
Autonomous/Driverless Shuttles Market Size - By Vehicle, By Fuel, By Level of Autonomy, & Forecast, 2024 - 2032
Global Autonomous/driver less Shuttles Market size will register over 20% CAGR between 2024 and 2032, owing to increasing R&D investments coupled with the expansion of smart city initiatives. These investments are fueling innovations, leading to advancements in autonomous technologies and infrastructure.
Moreover, smart city projects are prioritizing efficient and sustainable transportation solutions, further creating a conducive environment for the adoption of autonomous shuttles. With cities worldwide seeking to alleviate congestion and reduce emissions, autonomous shuttles will emerge as viable solutions, driving their deployment in urban environments. For instance, in April 2024, the Hawai?i Department of Transportation HDOT inaugurated a novel autonomous electric passenger shuttle to complement the current Wiki Wiki shuttle bus service at the Daniel K. Inouye International Airport HNL.
The autonomous/driver less shuttles market is fragmented on the basis of vehicle, fuel, level of autonomy, and region.
By vehicle, the hotel shuttle segment will witness significant CAGR through 2032. Amidst the resurgence of the tourism sector and the call for better transportation systems, hotels have turned to self-driving shuttles to make the experiences of guests more enhancing. Moreover, hotel properties provide restricted areas with definite routes where these buses can operate on their own. Rising usage for offering convenient, safe, and cost-savings, in line with the customer-centric hotel industry demand will favor the segment growth.
Based on fuel, the autonomous/driver less shuttles industry from the hybrid segment will witness notable growth by 2032, driven by their versatility and efficiency. By combining electric and traditional fuel powered systems, hybrid shuttles offer an ideal solution for a wide range of operating conditions with extended reach. They are most suitable for urban and suburban areas with poor charging infrastructure. They also help to save energy by allowing power transformation, to lowers the overall cost of operation while reducing environmental pollution.
Asia Pacific autonomous/driver less shuttles industry size will experience a substantial CAGR from 2024 to 2032, propelled by rapid urbanization and government initiatives for promoting smart transportation solutions. With densely populated cities and burgeoning megacities, APAC presents a fertile ground for autonomous shuttle deployment. Additionally, advancements in technology and supportive regulatory frameworks will further accelerate the regional market growth."
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 definitions
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 Raw material providers
- 3.2.2 Component providers
- 3.2.3 Manufacturers
- 3.2.4 Technology providers
- 3.2.5 Distributors
- 3.2.6 End users
- 3.3 Profit margin analysis
- 3.4 Technology & innovation landscape
- 3.5 Patent analysis
- 3.6 Key news & initiatives
- 3.6.1 Partnership/collaboration
- 3.6.2 Merger/acquisition
- 3.6.3 Investment
- 3.6.4 Product launch and innovation
- 3.7 Regulatory landscape
- 3.8 Impact forces
- 3.8.1 Growth drivers
- 3.8.1.1 Growing urbanization across the globe
- 3.8.1.2 Rising need for last-mile connectivity
- 3.8.1.3 Growing demand for on-demand transportation services
- 3.8.1.4 Rapid technological advancements in the automotive sector
- 3.8.1 Growth drivers
- 3.9 Industry pitfalls & challenges
- 3.9.1.1 Technical limitations and reliability issues
- 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 ($ Mn, Units)
- 5.1 Key trends
- 5.2 Airport shuttle
- 5.3 Hotel shuttle
- 5.4 Event shuttle
- 5.5 Campus shuttle
- 5.6 Corporate Shuttle
Chapter 6 Market Estimate & Forecast, By Fuel, 2021-2032 ($ Mn, Units)
- 6.1 Key trends
- 6.2 Diesel
- 6.3 Electric
- 6.4 Hybrid
Chapter 7 Market Estimates & Forecast, By Level of Autonomy, 2021-2032 ($ Mn, Units)
- 7.1 Key trends
- 7.2 Level 1
- 7.3 Level 2
- 7.4 Level 3
- 7.5 Level 4
Chapter 8 Market Estimates & Forecast, By Region, 2021-2032 ($ Mn, Units)
- 8.1 Key trends
- 8.2 North America
- 8.2.1 U.S.
- 8.2.2 Canada
- 8.3 Europe
- 8.3.1 UK
- 8.3.2 Germany
- 8.3.3 France
- 8.3.4 Italy
- 8.3.5 Russia
- 8.3.6 Belgium
- 8.3.7 Sweden
- 8.3.8 Rest of Europe
- 8.4 Asia Pacific
- 8.4.1 China
- 8.4.2 India
- 8.4.3 Japan
- 8.4.4 South Korea
- 8.4.5 Indonesia
- 8.4.6 Thailand
- 8.4.7 Vietnam
- 8.4.8 Rest of Asia Pacific
- 8.5 Latin America
- 8.5.1 Brazil
- 8.5.2 Mexico
- 8.5.3 Argentina
- 8.5.4 Rest of Latin America
- 8.6 MEA
- 8.6.1 South Africa
- 8.6.2 Saudi Arabia
- 8.6.3 UAE
- 8.6.4 Iran
- 8.6.5 Turkey
- 8.6.6 Rest of MEA
Chapter 9 Company Profiles
- 9.1 2getthere
- 9.2 Auro Robotics
- 9.3 AutoX
- 9.4 Baidu
- 9.5 Coast Automonous
- 9.6 e.Go
- 9.7 EasyMile
- 9.8 LeddarTech
- 9.9 Local Motors
- 9.10 May Mobility
- 9.11 Navya
- 9.12 Neolix
- 9.13 Next
- 9.14 Ohmio
- 9.15 Optimus Ride
- 9.16 Sensible4
- 9.17 Softbank
- 9.18 Toyota
- 9.19 Transdev
- 9.20 Yutong
