Global Autonomous Shuttle Market 2021-2026

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    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.



    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



    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



    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



    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.



    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.



    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, 2021-2026
    18 Market Segmentation, Dynamics and Forecast by Product Type, 2021-2026
    19 Market Segmentation, Dynamics and Forecast by Application, 2021-2026
    20 Market Segmentation, Dynamics and Forecast by End use, 2021-2026
    21 Product installation rate by OEM, 2021
    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, 2021
    29 Company Profiles
    30 Unmet needs and opportunity for new suppliers
    31 Conclusion
    32 Appendix


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