Global Autonomous Shuttle Market 2022-2027

    Multi User License - $2,800

    In Stock

    Published- Feb 2022

    Number Of Pages -109

    GLOBAL AUTONOMOUS SHUTTLE MARKET

     

    KEY FINDINGS

    1. The Global Autonomous Shuttle Market could be a key element which will improve the public transportation system thereby reducing private car ownership in the future.
    2. Huge delivery volume, workforce shortage and rapid growth in the e-commerce industry along with the penetration of internet during the pandemic has created an opportunity for autonomous vehicle services to cope with the delivery demand and to curb the spread of the virus
    3. The immense growth of the e-commerce industry has led to the opening of various warehouses and distribution centers for delivering goods faster to the consumers. The lack of employee shortage has created a massive logistical challenge but they used small autonomous shuttles as an alternative for moving goods inside a warehouse.
    4. The autonomous last mile delivery is driven by changing consumer expectations for same-day delivery and increasing trend for contactless delivery solution in the online food delivery sector due to risk of virus exposure
    5. China will be the market leader for autonomous shuttles with various players involved in the pursuit of L5 autonomous vehicles and various OEMs already set for mass manufacturing
    6. In Europe, the growth of the autonomous shuttle market will come due to the increase in reliability of the technology, and customer satisfaction. The technology development is also focusing on improving performance for all weather conditions
    7. The deployment of the L4 (Semi Autonomous) shuttles premiered across China, Europe, and USA. There are various services which claim to be L4 but aren’t deployed as L4 due to various regulatory pushbacks. In USA, only certain states allow driverless vehicles
    8. The role of Tier-2 Suppliers will be massive in transforming level of autonomy step by step as they are capable on focusing minute details in the autonomous vehicles than compared to major OEMs
    9. The autonomous shuttle market hasn’t quite developed so far because these types of shuttles don’t exist in many countries. But by 2026, a sizeable portion of the world will have experienced them and maybe there could be a market for thousands of shuttles, globally
    10. The lack of proper infrastructure, technical obstacles and stringent regulations by various governments has impeded the usage of autonomous delivery services. But the development of technological advancements in the upcoming years will plays a vital role in the adoption of autonomous delivery services
    11. Deployment of the L4 (Semi Autonomous) shuttle premiered across China, Europe, and the USA. There are various services which claim to be L4 but aren’t deployed as L4 due to various regulatory pushbacks. In USA, only certain states allow driverless vehicles
    12. Many Automobile OEMs have been exploring the potential role of hardware and its accessories in the Autonomous Vehicle Platform  
    13. In US,the autonomous shuttle market is backed by the top technology giants in the country. The investments are for decreasing the major costs in travel, future licensing and services revenue opportunities, and to set up themselves as a leader in autonomous technology
    14. MobileEye EyeQ5 is the leading ASIC-based solution to support fully-autonomous (Level 5) vehicles 
    15. Huge delivery volumes, workforce shortage and rapid growth in the e-commerce industry along with the penetration of internet has developed an opportunity for autonomous last-mile services to cope with the delivery demand and to curb the spread of the virus

     

    INTRODUCTION

    Autonomous shuttles provide an attractive, flexible solution to move people around industrial campuses, city centres, or suburban neighbourhoods, connecting such areas with main mass transit systems, greatly improving public transportation. Many companies today are involved in the development of a variety of autonomous shuttle platforms.

     

    infographic: Autonomous Shuttle Market, Autonomous Shuttle Market Size, Autonomous Shuttle Market Trends, Autonomous Shuttle Market Forecast, Autonomous Shuttle Market Risks, Autonomous Shuttle Market Report, Autonomous Shuttle Market Share

     

    Optimists predict that by 2030, autonomous vehicles will be sufficiently reliable, affordable, and common to displace most human driving, providing huge savings and benefits. However, there are good reasons to be sceptical. Most optimistic predictions are made by people with financial interests in the industry, based on experience with disruptive technologies such as digital cameras, smart phones, and personal computers.

     

    The impact of autonomous cars on overall vehicle travel and accompanying traffic concerns is a critical planning issue. It has the potential to go either way. They can boost vehicle travel by increasing non-driver vehicle travel, enhancing travel convenience and comfort, lowering vehicle operating costs, creating empty travel, and promoting longer-distance commutes and more spread development.

     

    GLOBAL AUTONOMOUS SHUTTLE MARKET DEVELOPMENTS AND INNOVATIONS

    S No Overview of Development Development Detailing Region of Development Possible Future Outcomes
    1 City of Grand Rapids has next stage of autonomous shuttles real read. May Mobility, along with the city of Grand Rapids, Via and Gentex announced the launch of the next stage in autonomous vehicle services for the city. The expanded service began July 26 as part of phase 2 of the Grand Rapids Autonomous Vehicle Initiative (AVGR) and transitions the prior fixed-route AV service into a flexible system in a new service zone. USA This would enhance better EV battery Technologies and Shuttle production
    2 Cambridge Autonomous Shuttle Trail for better efficient tracking More than 300 passengers hopped on board the Aurrigo shuttles to take fully autonomous journeys around the University of Cambridge’s West of Cambridge. This was the first time custom-built autonomous vehicles have shared the road with other traffic in the UK whilst carrying passengers. UK This would bring up new options of production for Nissan presence as an EV Mobility solution for commercial requirements.
    3 Olympic Villages Autonomous Shuttles introduction Olympians competing in Tokyo this summer are riding around the Olympic Village in Toyota’s e-Palette, an autonomous shuttle designed with their specific needs in mind. This was introduced in the most recent Tokyo 2020 Olympics. Tokyo, Japan Better Mobility and presence across various nations

     

    GLOBAL AUTONOMOUS SHUTTLE MARKET DYNAMICS

     

    SI No Timeline Company Developments
    1 February 2022 Volkswagen AG Volkswagen AG partnered with Robert Bosch GmbH in order to develop a common software platform thereby bringing hands-free driving functions to the German carmaker fleet.
    2 January 2022 Navya Navya and Valeo partnered to develop a unique safety system for the commercialization of level 4 autonomous vehicles, and for the designing of the future “Autonomous Vehicle Failsafe System (AVFS).
    3 October 2021 Cummins Inc Cummins collaborated with autonomous vehicle system providers in order to integrate its powertrains by launching a set of software features for Automated Driving System (ADS) technology.
    4 August 2021 Xilinx Xilinx partnered with Motovis to introduce a complete hardware and software solution for vehicle perception and control thereby enhancing the camera innovation. 
    5 July 2021 KPIT Technologies KPIT Technologies joined the Autonomous vehicle Computing Consortium (AVCC) in order to lead the software technology thereby driving towards an autonomous future.

     

    Autonomous vehicle implementation is just one of many trends likely to affect future transport demands and impacts, and not necessarily the most important. Their ultimate impacts depend on how autonomous vehicles interact with other trends, such as shifts from private to shared vehicles.

     

    Vehicles last longer, cost more, impose larger external costs, and are more highly regulated than most other consumer goods. As a result, vehicle technologies take longer to penetrate markets than most other sectors. It will probably take decades for autonomous vehicles to dominate new vehicle purchases and fleets, and some motorists may resist using them.

     

    Optimistically, autonomous vehicles will be safe and reliable by 2025, and may be commercially available in many areas by 2030. If they follow the pattern of previous vehicle technologies, during the 2030s and probably the 2040s, they will be expensive and limited in performance, sometimes unable to reach a desired destination or requiring human intervention when they encounter unexpected situations.

     

    Another significant problem is how much potential value can be realised when only a fraction of vehicle trip is autonomous. Some benefits, such as increased mobility for rich nondrivers, may occur while autonomous cars are rare and expensive, but many potential benefits, such as lower congestion and pollution rates, reduced traffic signals and lane widths, need that vehicles operate autonomously.

     

    infographic: Autonomous Shuttle Market, Autonomous Shuttle Market Size, Autonomous Shuttle Market Trends, Autonomous Shuttle Market Forecast, Autonomous Shuttle Market Risks, Autonomous Shuttle Market Report, Autonomous Shuttle Market Share

    GLOBAL AUTONOMOUS SHUTTLE MARKET SEGMENTATION

     

    The Global Autonomous Shuttle Market can be segmented into following categories for further analysis.

     

    By Level of Autonomy Type

    • Fully Autonomous
    • Semi-Autonomous
    • Hybrid Autonomous
    • Considerable Partial Autonomous

     

    By Seating capacity

    • under 5
    • 5 to 10
    • More than 10

     

    By Regional Classification

    • Asia Pacific Region – APAC
    • Middle East and Gulf Region
    • Africa Region
    • North America Region
    • Europe Region
    • Latin America and Caribbean Region

     

     

    GLOBAL AUTONOMOUS SHUTTLE MARKET RECENT ACQUISITION

     

    Optimus Ride, a Boston-based business creating SAE Level 4 autonomous vehicles, has sold its technology, intellectual property, and other assets to Magna International, a Canadian developer of car mobility technologies (AVs).

     

    More than 120 new Optimus Ride employees are joining Magna’s workforce. The business intends to leverage their knowledge to improve its capacity for sophisticated driver assistance systems (ADAS).

     

    Optimus Ride opened its doors  after spinning out of MIT.  Its objective was to develop electric, communal, and sociable AVs. A low-speed, electric, autonomous shuttle was unveiled as its first prototype.

     

    As a result of the Optimus Ride staff staying in Boston, Magna will establish a Boston-based engineering centre. There will be no longer be an Optimus Ride.

     

    With early MassDOT AV permission, Optimus Ride started testing their vehicles on the streets of Boston. The following year, Union Point in Weymouth, Massachusetts, saw the debut of its first residential community mobility pilot programme.

     

    The business started offering mobility services in New York and Virginia. Optimus Ride reconfigured their fleets to distribute more than 6,000 free meals to those in need in Washington, D.C. in response to the start of the COVID-19 pandemic.

     

    The Department of Energy granted the firm funding to use its autonomous fleets and work with Clemson University, UC Berkeley, and Argonne National Labs on AV research.

     

     

    RECENT MARKET TECHNOLOGICAL TRENDS IN GLOBAL AUTONOMOUS SHUTTLE MARKET

     

    SI No Timeline Company Developments
    1 February 2022 Aurrigo Aurrigo is set to deploy its Auto-Sim software platform in order to create a “digital twin” at the airport to manage autonomous vehicles on the flight line.
    2 January 2022 Pony.ai Pony.ai has developed a new ‘complete autonomous computing unit’ which has been built on the Nvidia Drive Orin system-on-chip(SoC).
    3 January 2022 Toyota Toyota is set to develop its own automotive software to be included in its vehicle by 2025 thereby operating the vehicles smoothly.
    4 January 2022 Nuro Nuro has introduced the Nuro’s third-generation autonomous delivery vehicle with improved design from the previous vehicle and it is ready for production. The top operating speed of this vehicle is 45mph and it is provided with an external airbag from the front of the boot to avoid collision
    5 November 2021 Nvidia Nvidia has launched its new AI-powered ‘Omniverse’ platform which includes a virtual driving assistant which can park a standard car and a system to speed up the training of AV
    6 September  2021 ZF ZF technology has launched its new supercomputer ZF ProAI along with control units, software, sensors and new mobility concepts for autonomous driving.
    7 September 2021 Arm British semiconductor and software design giant Arm has launched new hardware tools for the chip makers and carmakers to develop software-defined automobiles for the future.

     

    Autonomous Shuttles have been the changing trend in the most recent technological interventions being made into the Autonomous shuttle markets. Technology has been playing a major role in the autonomous requirements of the shuttles. There have been various forms of technologies being brought into existence through continual improvement in the technologies existing within the market.

     

    Leddar Pixell, the most robust LiDAR on the market, offers a comprehensive detection “cocoon,” enabling dependable object and vulnerable road user identification as well as excellent robustness and endurance. This 3D solid-state LiDAR is an excellent choice for autonomous shuttle applications.

     

    Many businesses are now working on the development of various autonomous shuttle systems. The market for LiDARs for autonomous shuttles is still in its early stages, but it is anticipated to grow more than 50% over the next five years. The sensor configuration varies greatly amongst autonomous shuttle platforms and can range from 3 to 12 LiDARs.

     

    There has been evolving technology in driverless autonomous vehicles. To do this, the deep learning machine learning technology is utilised to interact with the vehicle in order for it to learn by example without the presence of a human attendant on board. This includes actions such as recognising a stop sign or distinguishing between a pedestrian and a lamppost. As part of the process, the technology interacts with several next-generation radars, cameras, and lidar sensors. It crunches data from these in real-time for a 360-degree view of the vehicles’ surroundings.

     

    COMPETITIVE LANDSCAPE

     

    SI No Timeline Company Developments
    1 January 2022 Sensible 4 Sensible 4 has conducted a 2-5 month self-driving last-mile service trial for the tramline in Finland. The weather conditions have been really snowy, cold, and challenging, but the vehicles have performed well
    2 November 2021 Nuro Nuro has raised $600M in Series D funding, led by Tiger Global Management which will be used to support the development and deployment of autonomous delivery service in communities across the US
    3 January 2022 May Mobility Toyota backed, May Mobility has raised its Series C funding of $83M led by Mirai Creation Fund II – a SPARX Group Co., Ltd. managed fund that is renowned for supporting high-growth, high-tech companies and has made 76 investments to date
    4 December 2021 Apex AI Apex AI, software developer of autonomous driving, has raised $56.5 million for the development of new autonomous vehicle software.
    5 November 2021 Easymile Easymile became the first driverless solution provider in Europe to get authorized for the use of level 4 autonomous vehicles on public road

     

    Autonomous vehicles (AV) in the form of shared transport services (e.g. car sharing and ridesharing) can form a viable alternative to the personal car. If the user uptake of shared AVs is high, they can have a substantial impact on traffic related to personal mobility in cities. One specific service application of shared AVs is to form a first/last mile connection with a mass public transit hub. In the current paper, we refer to this type of service as an autonomous shuttle service.

     

    Neolix has been one of the most influencing brands amongst the Autonomous Shuttle manufacturing stakeholders in the global scale of operations. Beijing-based start-up Neolix recently closed a $29 million financing round and is using autonomous vehicles to deliver food to households, especially in the areas that were worst affected by the epidemic. The company is primarily based in the capital, but the main production facility is in Changzhou, around 700 miles south of Beijing, with an annual capacity of around 10,000 vehicles.

     

    The Neolix operates a custom-made autonomous shuttle requirements, which is a 2.4 x 2.4 x 2.4-metre shuttles move around using a mix of sensors, including lidar sensors and HD maps, and can go up to 60 miles on a single charge, up 20-degree inclines, and at a peak speed of 31 mph. The shuttles are Level 4 autonomous vehicles, which means they can handle the bulk of driving scenarios on their own, but they still have a cockpit and telecommunications systems.

     

    LeddarTech has been another stakeholder in active recognition throughout the market with a modernisation of prospective technologies being integrated at each step of requirements. LeddarTech is involved in propagating manufacturing of integrated approaches towards LiDAR based Solutions. They rely on a mechanical-scanning LiDAR sensor that is placed on top of the shuttle, which provides long-range detection and 360 degrees of coverage. Flash LiDAR, such as the new Leddar Pixell Cocoon LiDAR, offer considerably better mean-time-between-failures (MTBF) than mechanical scanning LiDAR, as well as 100 percent light density and total coverage of the field of view.

     

    COMPANIES PROFILED

    Sl no Topic
    1 Market Segmentation
    2 Scope of the report
    3 Abbreviations
    4 Research Methodology
    5 Executive Summary
    6 Introduction
    7 Insights from Industry stakeholders
    8 Cost breakdown of Product by sub-components and average profit margin
    9 Disruptive innovation in the Industry
    10 Technology trends in the Industry
    11 Consumer trends in the industry
    12 Recent Production Milestones
    13 Component Manufacturing in US, EU and China
    14 COVID-19 impact on overall market
    15 COVID-19 impact on Production of components
    16 COVID-19 impact on Point of sale
    17 Market Segmentation, Dynamics and Forecast by Geography, 2022-2027
    18 Market Segmentation, Dynamics and Forecast by Product Type, 2022-2027
    19 Market Segmentation, Dynamics and Forecast by Application, 2022-2027
    20 Market Segmentation, Dynamics and Forecast by End use, 2022-2027
    21 Product installation rate by OEM, 2022
    22 Incline/Decline in Average B-2-B selling price in past 5 years
    23 Competition from substitute products
    24 Gross margin and average profitability of suppliers
    25 New product development in past 12 months
    26 M&A in past 12 months
    27 Growth strategy of leading players
    28 Market share of vendors, 2022
    29 Company Profiles
    30 Unmet needs and opportunity for new suppliers
    31 Conclusion
    32 Appendix

     

    0
      0
      Your Cart
      Your cart is emptyReturn to Shop