Autonomous Shuttles Market Size, Trends and Insights By Vehicle Type (Passenger Vehicle, Commercial Vehicle), By System (Lidar, Ultrasonic Sonic Sensor, Artificial Intelligence, Radar), and By Region - Global Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2023–2032


Report Code: CMI25017

Published Date: July 2023

Pages: 220+

Category: Consumer Goods

Report Snapshot

CAGR: 5.2%
240.43M
2022
253.55M
2023
371.65M
2032

Source: CMI

Study Period: 2023-2032
Fastest Growing Market: Asia-Pacific
Largest Market: Europe

Major Players

  • EasyMile
  • Cisco Systems
  • Aptiv Inc.
  • Robert Bosch GmbH
  • Denso Corporation
  • Tesla
  • Others

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Reports Description

As per the current market research conducted by CMI Team, the global Autonomous Shuttles Market is expected to record a CAGR of 5.2% from 2023 to 2032. In 2022, the market size is projected to reach a valuation of USD 240.43 million. By 2032, the valuation is anticipated to reach USD 371.65 million.

Our recently published report, “Autonomous Shuttles Market”, offers a comprehensive and deep evaluation of the market stature. Also, the market report estimates the market size, revenue, price, market share, market forecast, growth rate, and competitive analysis.

Autonomous Shuttles Market: Overview

An autonomous shuttle is a vehicle that travels automatically at lower than 50 mph over pre-mapped routes while being monitored remotely and operating in a constrained area. The autonomous shuttle is equipped with a number of capabilities that enable accurate positioning and navigation, including LiDAR, GPS, and radar for the shuttle’s safety features.

The system enables the vehicle shuttle to follow a predetermined route while safely avoiding any potential hazards. It transports people and delivers products. In any case, one of the enablers of the safety fallback system is always a remote operator. Depending on the Operational Design Domain (ODD) and the expected level of human interaction, autonomous shuttles are currently transitioning from being remotely piloted to remote assisted.

Additionally, the autonomous shuttles offer a desirable, adaptable way to transfer people across business campuses, metropolitan cores, or suburban neighborhoods, linking them to major mass transit networks and significantly enhancing public transportation. Currently, a large number of businesses are working to build several autonomous shuttle systems.

Autonomous Shuttles Market: COVID–19 Impact Analysis

Global economies have been significantly impacted by the COVID-19 pandemic. For several industries, COVID-19 has created a number of difficulties. Lockdown procedures induced by the coronavirus pandemic have severely disrupted commercial operations throughout the automobile sector.

Future mobility solutions like autonomous vehicles have been severely hampered by business strategies that stop investment and development in new technology in an effort to save costs. The effects of COVID-19 have been startling and unprecedented on a worldwide scale, and the epidemic has had a detrimental effect on demand for autonomous shuttles globally.

Autonomous Shuttles Market: Growth Drivers

The widespread use of Advance Drive Assist System (ADAS) accelerates the market’s growth

Most people are likely to prefer autonomous vehicles because they are less likely to need maintenance and fueling infrastructure, which is predicted to increase the market for automotive autonomous shuttles. The rise in maintenance and infrastructure levels for traditional vehicles is likely to be the cause.

The vast majority of automakers worldwide are attempting to include cutting-edge technology, such as the Advance Drive Assist System (ADAS), in their vehicles, which is anticipated to increase the need for autonomous shuttles globally. Through artificial intelligence and other cutting-edge capabilities, advanced driver assistance systems (ADAS) help drivers, preventing distractions and relieving strain on the driver.

The widespread use of ADAS in automobiles has been made possible by the quick acceptance of cutting-edge technology in software algorithms, sensors, cameras, computers, and maps. Additionally, as a result of growing worries about the safety and security of automobiles, their occupants, and pedestrians as well as efforts to lower the number of traffic deaths, automakers are putting ADAS in their vehicles, which is boosting the market for autonomous vehicles.

The global increase in awareness of road safety is accelerating the market demand

Since autonomous shuttles have an extremely high number of safety equipment incorporated into vehicles, including as air bags, anti-lock brake systems, and traction control systems, it is projected that a rise in road safety awareness would propel the market for autonomous shuttles.

The key driver propelling the worldwide market for autonomous shuttles is an increasing emphasis on traffic management and road safety. The world is most concerned about how important transportation safety is. Studies show that as autonomous vehicle are put through extensive testing and global safety standards are established to ensure safer navigation, they are more likely to strengthen than undermine road safety.

The main justification is that while human error is one of the major contributors to traffic accidents, self-driving vehicle can significantly reduce the risk of it happening.

Moreover, autonomous shuttles would take less time to park themselves, which is expected to increase demand for these vehicles globally.

The global transportation system is anticipated to change once autonomous vehicle technology becomes commercially available. To ensure the security of vehicle, passengers, and pedestrians, the governments of several nations have introduced strict safety regulations and are supporting automation in vehicles.

Global Autonomous Shuttles Market 2023–2032 (By Vehicle Type)

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Autonomous Shuttles Market: Segmentation Analysis

The autonomous shuttles market is segmented into the vehicle type, and system. Based on vehicle type, the market for passenger vehicle segment is estimated to lead the market during forecast period. The largest portion of the worldwide market is held by the passenger vehicle category.

The main drivers of the strong rise in autonomous shuttles manufacturing throughout the world include growing urbanization, rapid demographic expansion, higher living standards, and rising purchasing power. Additionally, a significant amount is being spent by governments and organizations from different areas on the creation of cutting-edge features for vehicles. Automated vehicles are gaining significant traction due to the growing demand for automobiles with improved comfort, convenience, and safety features.

By system, the LiDAR technology segment is anticipated to dominate the market during the forecast period. The main parts of autonomous vehicles are sensors and cameras. Lidar serves as the eye for self-driving cars since it gives them a 360-degree picture of their surroundings and enables safe autonomous driving. Many autonomous vehicles utilize it to navigate their surroundings in real time.

One of its benefits is precise depth perception, which enables LiDAR to determine an object’s distance to within a few millimeters, up to 60 meters away. As a result, returning cars can traverse the terrain predictably, which is a huge advantage for the majority of self-driving technologies. It is also very well suited for 3D mapping.

Report Scope

Feature of the Report Details
Market Size in 2023 USD 253.55 Million
Projected Market Size in 2032 USD 371.65 Million
Market Size in 2022 USD 240.43 Million
CAGR Growth Rate 5.2% CAGR
Base Year 2022
Forecast Period 2023-2032
Key Segment By Vehicle Type, System and Region
Report Coverage Revenue Estimation and Forecast, Company Profile, Competitive Landscape, Growth Factors and Recent Trends
Regional Scope North America, Europe, Asia Pacific, Middle East & Africa, and South & Central America
Buying Options Request tailored purchasing options to fulfil your requirements for research.

Key Insights:

  • Based on vehicle segmentation, the passenger vehicle segment is estimated to hold the largest market share during the forecast period.
  • Based on system segmentation, the LiDAR technology segment is the dominating category during the forecast period.
  • On the basis of geography/region, the North America region was the leading revenue generator in 2021.

Recent Development

  • January 2022: In order to construct the future Autonomous Vehicle Failsafe System, Navya and Valeo collaborated to create a novel safety system for the commercialization of level 4 autonomous cars (AVFS).
  • July 2021: To advance software development and move society closer to an autonomous future, KPIT Technologies joined the Autonomous Vehicle Computing Consortium (AVCC).

Regional Landscape

Throughout the projection period, North America is expected to continue to be among the most alluring markets and this region is accounted for the majority revenue share in the market.

This is because there are important firms in the area selling vehicles, such Nova Bus Inc., GILLIG LLC, New Flyer of America Inc., etc. In addition, these manufacturers and technology suppliers are increasing their R&D expenditures, which will boost regional growth in the ensuing years.

In the next years, the Asia-Pacific region is anticipated to expand at the highest rate and to control the market. The market is being stimulated by the region’s expanding use of autonomous shuttles. Additionally, the APAC market is anticipated to increase as a result of expanding government efforts and continuous investments in electric transportation.

Moreover, due to the existence of significant players in the global automotive sector, the Asia Pacific market size is predicted to grow by 20% by 2030. The market income is affected by elements including expanding urbanization and growing concerns to reduce pollution levels. Additionally, the region depends heavily on bus services, which is a significant component boosting industry statistics and the adoption of autonomous shuttles as a substitute.

Global Autonomous Shuttles Market 2023–2032 (By Million)

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Competitive Landscape

Our report offers both quantitative and qualitative insights into the WebRTC market and major development initiatives adopted by the key players. Further, it offers competitive details and market share analysis. The report further includes relevant financial information, products and services offered, SWOT analysis, and recent developments of the players profiled.

List of the prominent players in the global autonomous shuttles market:

  • EasyMile
  • Cisco Systems
  • Aptiv Inc.
  • Robert Bosch GmbH
  • Denso Corporation
  • Tesla
  • Hyundai Motor Company
  • Volkswagen AG
  • Delphi Inc.
  • NAVYA
  • Continental AG
  • ZF Friedrichshafen
  • Visteon
  • Valeo
  • Oxbotica
  • Sensible 4
  • Others

The global Autonomous Shuttles Market is segmented as follows:

By Vehicle Type

  • Passenger Vehicle
  • Commercial Vehicle

By System

  • Lidar
  • Ultrasonic Sonic Sensor
  • Artificial Intelligence
  • Radar

By Region

North America

  • U.S.
  • Canada
  • Mexico
  • Rest of North America

Europe

  • Germany
  • France
  • U.K.
  • Italy
  • Spain
  • Rest of Europe

Asia Pacific

  • China
  • Japan
  • India
  • New Zealand
  • Australia
  • South Korea
  • Rest of Asia Pacific

The Middle East & Africa

  • Saudi Arabia
  • UAE
  • Egypt
  • Kuwait
  • South Africa
  • Rest of the Middle East & Africa

Latin America

  • Brazil
  • Argentina
  • Rest of Latin America

Table of Contents

  • Chapter 1. Preface
    • 1.1 Report Description and Scope
    • 1.2 Research scope
    • 1.3 Research methodology
      • 1.3.1 Market Research Type
      • 1.3.2 Market research methodology
  • Chapter 2. Executive Summary
    • 2.1 Global Autonomous Shuttles Market, (2023 – 2032) (USD Million)
    • 2.2 Global Autonomous Shuttles Market : snapshot
  • Chapter 3. Global Autonomous Shuttles Market – Industry Analysis
    • 3.1 Autonomous Shuttles Market: Market Dynamics
    • 3.2 Market Drivers
      • 3.2.1 The widespread use of Advance Drive Assist System (ADAS) accelerates the market’s growth
      • 3.2.2 The global increase in awareness of road safety is accelerating the market demand.
    • 3.3 Market Restraints
    • 3.4 Market Opportunities
    • 3.5 Market Challenges
    • 3.6 Porter’s Five Forces Analysis
    • 3.7 Market Attractiveness Analysis
      • 3.7.1 Market attractiveness analysis By Vehicle Type
      • 3.7.2 Market attractiveness analysis By System
  • Chapter 4. Global Autonomous Shuttles Market- Competitive Landscape
    • 4.1 Company market share analysis
      • 4.1.1 Global Autonomous Shuttles Market: company market share, 2022
    • 4.2 Strategic development
      • 4.2.1 Acquisitions & mergers
      • 4.2.2 New Product launches
      • 4.2.3 Agreements, partnerships, cullaborations, and joint ventures
      • 4.2.4 Research and development and Regional expansion
    • 4.3 Price trend analysis
  • Chapter 5. Global Autonomous Shuttles Market – Vehicle Type Analysis
    • 5.1 Global Autonomous Shuttles Market overview: By Vehicle Type
      • 5.1.1 Global Autonomous Shuttles Market share, By Vehicle Type, 2022 and 2032
    • 5.2 Passenger Vehicle
      • 5.2.1 Global Autonomous Shuttles Market by Passenger Vehicle, 2023 – 2032 (USD Million)
    • 5.3 Commercial Vehicle
      • 5.3.1 Global Autonomous Shuttles Market by Commercial Vehicle, 2023 – 2032 (USD Million)
  • Chapter 6. Global Autonomous Shuttles Market – System Analysis
    • 6.1 Global Autonomous Shuttles Market overview: By System
      • 6.1.1 Global Autonomous Shuttles Market share, By System, 2022 and 2032
    • 6.2 Lidar
      • 6.2.1 Global Autonomous Shuttles Market by Lidar, 2023 – 2032 (USD Million)
    • 6.3 Ultrasonic Sonic Sensor
      • 6.3.1 Global Autonomous Shuttles Market by Ultrasonic Sonic Sensor, 2023 – 2032 (USD Million)
    • 6.4 Artificial Intelligence
      • 6.4.1 Global Autonomous Shuttles Market by Artificial Intelligence, 2023 – 2032 (USD Million)
    • 6.5 Radar
      • 6.5.1 Global Autonomous Shuttles Market by Radar, 2023 – 2032 (USD Million)
  • Chapter 7. Autonomous Shuttles Market – Regional Analysis
    • 7.1 Global Autonomous Shuttles Market Regional Overview
    • 7.2 Global Autonomous Shuttles Market Share, by Region, 2022 & 2032 (USD Million)
    • 7.3. North America
      • 7.3.1 North America Autonomous Shuttles Market, 2023 – 2032 (USD Million)
        • 7.3.1.1 North America Autonomous Shuttles Market, by Country, 2023 – 2032 (USD Million)
    • 7.4 North America Autonomous Shuttles Market, by Vehicle Type, 2023 – 2032
      • 7.4.1 North America Autonomous Shuttles Market, by Vehicle Type, 2023 – 2032 (USD Million)
    • 7.5 North America Autonomous Shuttles Market, by System, 2023 – 2032
      • 7.5.1 North America Autonomous Shuttles Market, by System, 2023 – 2032 (USD Million)
    • 7.6. Europe
      • 7.6.1 Europe Autonomous Shuttles Market, 2023 – 2032 (USD Million)
        • 7.6.1.1 Europe Autonomous Shuttles Market, by Country, 2023 – 2032 (USD Million)
    • 7.7 Europe Autonomous Shuttles Market, by Vehicle Type, 2023 – 2032
      • 7.7.1 Europe Autonomous Shuttles Market, by Vehicle Type, 2023 – 2032 (USD Million)
    • 7.8 Europe Autonomous Shuttles Market, by System, 2023 – 2032
      • 7.8.1 Europe Autonomous Shuttles Market, by System, 2023 – 2032 (USD Million)
    • 7.9. Asia Pacific
      • 7.9.1 Asia Pacific Autonomous Shuttles Market, 2023 – 2032 (USD Million)
        • 7.9.1.1 Asia Pacific Autonomous Shuttles Market, by Country, 2023 – 2032 (USD Million)
    • 7.10 Asia Pacific Autonomous Shuttles Market, by Vehicle Type, 2023 – 2032
      • 7.10.1 Asia Pacific Autonomous Shuttles Market, by Vehicle Type, 2023 – 2032 (USD Million)
    • 7.11 Asia Pacific Autonomous Shuttles Market, by System, 2023 – 2032
      • 7.11.1 Asia Pacific Autonomous Shuttles Market, by System, 2023 – 2032 (USD Million)
    • 7.12. Latin America
      • 7.12.1 Latin America Autonomous Shuttles Market, 2023 – 2032 (USD Million)
        • 7.12.1.1 Latin America Autonomous Shuttles Market, by Country, 2023 – 2032 (USD Million)
    • 7.13 Latin America Autonomous Shuttles Market, by Vehicle Type, 2023 – 2032
      • 7.13.1 Latin America Autonomous Shuttles Market, by Vehicle Type, 2023 – 2032 (USD Million)
    • 7.14 Latin America Autonomous Shuttles Market, by System, 2023 – 2032
      • 7.14.1 Latin America Autonomous Shuttles Market, by System, 2023 – 2032 (USD Million)
    • 7.15. The Middle-East and Africa
      • 7.15.1 The Middle-East and Africa Autonomous Shuttles Market, 2023 – 2032 (USD Million)
        • 7.15.1.1 The Middle-East and Africa Autonomous Shuttles Market, by Country, 2023 – 2032 (USD Million)
    • 7.16 The Middle-East and Africa Autonomous Shuttles Market, by Vehicle Type, 2023 – 2032
      • 7.16.1 The Middle-East and Africa Autonomous Shuttles Market, by Vehicle Type, 2023 – 2032 (USD Million)
    • 7.17 The Middle-East and Africa Autonomous Shuttles Market, by System, 2023 – 2032
      • 7.17.1 The Middle-East and Africa Autonomous Shuttles Market, by System, 2023 – 2032 (USD Million)
  • Chapter 8. Company Profiles
    • 8.1 EasyMile
      • 8.1.1 Overview
      • 8.1.2 Financials
      • 8.1.3 Product Portfolio
      • 8.1.4 Business Strategy
      • 8.1.5 Recent Developments
    • 8.2 Cisco Systems
      • 8.2.1 Overview
      • 8.2.2 Financials
      • 8.2.3 Product Portfolio
      • 8.2.4 Business Strategy
      • 8.2.5 Recent Developments
    • 8.3 Aptiv Inc.
      • 8.3.1 Overview
      • 8.3.2 Financials
      • 8.3.3 Product Portfolio
      • 8.3.4 Business Strategy
      • 8.3.5 Recent Developments
    • 8.4 Robert Bosch GmbH
      • 8.4.1 Overview
      • 8.4.2 Financials
      • 8.4.3 Product Portfolio
      • 8.4.4 Business Strategy
      • 8.4.5 Recent Developments
    • 8.5 Denso Corporation
      • 8.5.1 Overview
      • 8.5.2 Financials
      • 8.5.3 Product Portfolio
      • 8.5.4 Business Strategy
      • 8.5.5 Recent Developments
    • 8.6 Tesla
      • 8.6.1 Overview
      • 8.6.2 Financials
      • 8.6.3 Product Portfolio
      • 8.6.4 Business Strategy
      • 8.6.5 Recent Developments
    • 8.7 Hyundai Motor Company
      • 8.7.1 Overview
      • 8.7.2 Financials
      • 8.7.3 Product Portfolio
      • 8.7.4 Business Strategy
      • 8.7.5 Recent Developments
    • 8.8 Volkswagen AG
      • 8.8.1 Overview
      • 8.8.2 Financials
      • 8.8.3 Product Portfolio
      • 8.8.4 Business Strategy
      • 8.8.5 Recent Developments
    • 8.9 Delphi Inc.
      • 8.9.1 Overview
      • 8.9.2 Financials
      • 8.9.3 Product Portfolio
      • 8.9.4 Business Strategy
      • 8.9.5 Recent Developments
    • 8.10 NAVYA
      • 8.10.1 Overview
      • 8.10.2 Financials
      • 8.10.3 Product Portfolio
      • 8.10.4 Business Strategy
      • 8.10.5 Recent Developments
    • 8.11 Continental AG
      • 8.11.1 Overview
      • 8.11.2 Financials
      • 8.11.3 Product Portfolio
      • 8.11.4 Business Strategy
      • 8.11.5 Recent Developments
    • 8.12 ZF Friedrichshafen
      • 8.12.1 Overview
      • 8.12.2 Financials
      • 8.12.3 Product Portfolio
      • 8.12.4 Business Strategy
      • 8.12.5 Recent Developments
    • 8.13 Visteon
      • 8.13.1 Overview
      • 8.13.2 Financials
      • 8.13.3 Product Portfolio
      • 8.13.4 Business Strategy
      • 8.13.5 Recent Developments
    • 8.14 Valeo
      • 8.14.1 Overview
      • 8.14.2 Financials
      • 8.14.3 Product Portfolio
      • 8.14.4 Business Strategy
      • 8.14.5 Recent Developments
    • 8.15 Oxbotica
      • 8.15.1 Overview
      • 8.15.2 Financials
      • 8.15.3 Product Portfolio
      • 8.15.4 Business Strategy
      • 8.15.5 Recent Developments
    • 8.16 Sensible 4
      • 8.16.1 Overview
      • 8.16.2 Financials
      • 8.16.3 Product Portfolio
      • 8.16.4 Business Strategy
      • 8.16.5 Recent Developments
    • 8.17 Others
      • 8.17.1 Overview
      • 8.17.2 Financials
      • 8.17.3 Product Portfolio
      • 8.17.4 Business Strategy
      • 8.17.5 Recent Developments
List Of Figures

Figures No 1 to 20

List Of Tables

Tables No 1 to 52

Report Methodology

In order to get the most precise estimates and forecasts possible, Custom Market Insights applies a detailed and adaptive research methodology centered on reducing deviations. For segregating and assessing quantitative aspects of the market, the company uses a combination of top-down and bottom-up approaches. Furthermore, data triangulation, which examines the market from three different aspects, is a recurring theme in all of our research reports. The following are critical components of the methodology used in all of our studies:

Preliminary Data Mining

On a broad scale, raw market information is retrieved and compiled. Data is constantly screened to make sure that only substantiated and verified sources are taken into account. Furthermore, data is mined from a plethora of reports in our archive and also a number of reputed & reliable paid databases. To gain a detailed understanding of the business, it is necessary to know the entire product life cycle and to facilitate this, we gather data from different suppliers, distributors, and buyers.

Surveys, technological conferences, and trade magazines are used to identify technical issues and trends. Technical data is also gathered from the standpoint of intellectual property, with a focus on freedom of movement and white space. The dynamics of the industry in terms of drivers, restraints, and valuation trends are also gathered. As a result, the content created contains a diverse range of original data, which is then cross-validated and verified with published sources.

Statistical Model

Simulation models are used to generate our business estimates and forecasts. For each study, a one-of-a-kind model is created. Data gathered for market dynamics, the digital landscape, development services, and valuation patterns are fed into the prototype and analyzed concurrently. These factors are compared, and their effect over the projected timeline is quantified using correlation, regression, and statistical modeling. Market forecasting is accomplished through the use of a combination of economic techniques, technical analysis, industry experience, and domain knowledge.

Short-term forecasting is typically done with econometric models, while long-term forecasting is done with technological market models. These are based on a synthesis of the technological environment, legal frameworks, economic outlook, and business regulations. Bottom-up market evaluation is favored, with crucial regional markets reviewed as distinct entities and data integration to acquire worldwide estimates. This is essential for gaining a thorough knowledge of the industry and ensuring that errors are kept to a minimum.

Some of the variables taken into account for forecasting are as follows:

• Industry drivers and constraints, as well as their current and projected impact

• The raw material case, as well as supply-versus-price trends

• Current volume and projected volume growth through 2030

We allocate weights to these variables and use weighted average analysis to determine the estimated market growth rate.

Primary Validation

This is the final step in our report’s estimating and forecasting process. Extensive primary interviews are carried out, both in-person and over the phone, to validate our findings and the assumptions that led to them.
Leading companies from across the supply chain, including suppliers, technology companies, subject matter experts, and buyers, use techniques like interviewing to ensure a comprehensive and non-biased overview of the business. These interviews are conducted all over the world, with the help of local staff and translators, to overcome language barriers.

Primary interviews not only aid with data validation, but also offer additional important insight into the industry, existing business scenario, and future projections, thereby improving the quality of our reports.

All of our estimates and forecasts are validated through extensive research work with key industry participants (KIPs), which typically include:

• Market leaders

• Suppliers of raw materials

• Suppliers of raw materials

• Buyers.

The following are the primary research objectives:

• To ensure the accuracy and acceptability of our data.

• Gaining an understanding of the current market and future projections.

Data Collection Matrix

Perspective Primary research Secondary research
Supply-side
  • Manufacturers
  • Technology distributors and wholesalers
  • Company reports and publications
  • Government publications
  • Independent investigations
  • Economic and demographic data
Demand-side
  • End-user surveys
  • Consumer surveys
  • Mystery shopping
  • Case studies
  • Reference customers


Market Analysis Matrix

Qualitative analysis Quantitative analysis
  • Industry landscape and trends
  • Market dynamics and key issues
  • Technology landscape
  • Market opportunities
  • Porter’s analysis and PESTEL analysis
  • Competitive landscape and component benchmarking
  • Policy and regulatory scenario
  • Market revenue estimates and forecast up to 2030
  • Market revenue estimates and forecasts up to 2030, by technology
  • Market revenue estimates and forecasts up to 2030, by application
  • Market revenue estimates and forecasts up to 2030, by type
  • Market revenue estimates and forecasts up to 2030, by component
  • Regional market revenue forecasts, by technology
  • Regional market revenue forecasts, by application
  • Regional market revenue forecasts, by type
  • Regional market revenue forecasts, by component

Prominent Players

  • EasyMile
  • Cisco Systems
  • Aptiv Inc.
  • Robert Bosch GmbH
  • Denso Corporation
  • Tesla
  • Hyundai Motor Company
  • Volkswagen AG
  • Delphi Inc.
  • NAVYA
  • Continental AG
  • ZF Friedrichshafen
  • Visteon
  • Valeo
  • Oxbotica
  • Sensible 4
  • Others

FAQs

“North America” region will lead the Global Autonomous Shuttles Market during the forecast period 2023 to 2032.

The key factors driving the Market are The widespread use of Advance Drive Assist System (ADAS) accelerates the market’s growth And The global increase in awareness of road safety is accelerating the market demand.

The key players operating in the Autonomous Shuttles Market are EasyMile, Cisco Systems, Aptiv Inc., Robert Bosch GmbH, Denso Corporation, Tesla, Hyundai Motor Company, Volkswagen AG, Delphi Inc., NAVYA, Continental AG, ZF Friedrichshafen, Visteon, Valeo, Oxbotica, Sensible 4, Others.

The Global Autonomous Shuttles Market is expanding growth with a CAGR of approximately 5.2% during the forecast period (2023 to 2032).

The Global Autonomous Shuttles Market size was valued at USD 240.43 Million in 2022 and it is projected to reach around USD 371.65 Million by 2032.

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