Robo-Taxi Market

Robo-Taxi Market by Application (Goods and Passenger), Level of Autonomy (L4 and L5), Vehicle (Car and Shuttle/Van), Service (Rental and Station Based), Propulsion (Electric, Hybrid, and Fuel Cell), Component, and Region - Global Forecast to 2030

Report Code: AT 7054 Apr, 2019, by marketsandmarkets.com
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[135 Pages Report] A Robo-taxi combines the benefits of an autonomous vehicle and e-cab hailing services by operating without a driver and focusing on ‘Mobility as a Service’ (MaaS). It is expected to reduce the cost of ownership and improve fleet management. It would offer a safe, convenient, and economical mode of transportation. OEMs have partnered with autonomous driving system providers and fleet managers to launch Robo-taxi services. Since most developments can be seen in the field of electric vehicles, the Robo-taxi market may initially feature electrically-propelled vehicles.

The global Robo-taxi market is projected to grow from 2,024 units in 2020 to 3,830,912 units by 2030, at a CAGR of 112.67%. The rising concerns over road safety, emissions, and the increasing demand for ride-hailing services have led to the growth of the market. Autonomous vehicles also help in optimizing cost to the fleet operator. Newer business models like mobility as a service would provide another sustainable and profitable revenue stream in the future.

Robo-Taxi Market

By vehicle type, car segment to hold the largest market share during the forecast period

Companies are investing billions in Robo-taxis to develop autonomous driving, connectivity, electrification, and shared mobility, which will drive the market. Also, robotic assistance used for delivery, supplies pick up, and other routine tasks by autonomous cars for small businesses could be one of the key adoption factors for the Robo-taxis. Robo-taxis will construe emerging challenges regarding car ownership or Mobility-as-a-Service (MaaS) model. Car companies producing generic, as well as Robo taxis, are adopting advanced production technologies in the race to deploy autonomous vehicles.

Robo-Taxi Market

By application, passenger transportation segment is projected to be the largest and the fastest market during the forecast period

Passenger transportation by Robo-taxis is expected to lower the cost of car ownership with greater convenience and less number of road accidents. Waymo is at a stage of building business models around their self-driving car technology. Other companies have aimed to reduce the cost of taxi or delivery services substantially. Once the technology is proven to be safe, Robo-taxis will soon become a standard mode for passenger transportation.

Robo-Taxi Market

Asia Pacific to dominate the Robo-taxi market during the forecast period

The Asia Pacific region is expected to be the fastest-growing market for Robo-taxi during the forecast period and emerge as the largest Robo-taxi market by 2030.

The Asia Pacific region comprises emerging economies such as China and India, along with developed nations such as Japan, and is the largest market for automotive. The key drivers for the Robo-taxi market in China are the growing concern about pollution and the increasing number of vehicles on the road that has led to traffic congestion. Also, the Chinese government has structured guidelines in place for the testing and implementation of the Robo-taxis. These guidelines have encouraged several companies to test their vehicles in China. Also, the increasing demand for electric cars in China and Japan augurs well for Robo-taxi deployment. The development of support infrastructure, such as charging stations, has encouraged OEMs to test their vehicles in this region. Also, favorable government policies to adopt EVs have attracted many players to deploy Robo-taxis in this region.

Market Dynamics

Driver: Race to deploy autonomous vehicles

A Robo-taxi is an upcoming megatrend that is likely to disrupt the automotive industry. The evolution of the Robo-taxi market began with autonomous driving, connectivity, electrification, and shared mobility. According to a report by McKinsey, Robo-taxi is proposed to reduce the fleet operator cost of ownership by 30–50% when compared to private-vehicle ownership, and by 70% against shared mobility, significantly turning the mobility market upside down. The major players in this market, such as Waymo and Uber, have invested billions of dollars in autonomous car development, while automotive manufacturers such as Daimler are testing prototypes.

Restraint: High R&D cost for implementation

Deploying a full-fledged Robo-taxi service requires high investments because components such as ultrasonic sensors, cameras, and LiDAR are quite expensive. Also, the deployment and implementation of Robo-taxi fleets is a complicated and time-consuming process. Currently, level 4 and level 5 autonomous vehicles are not yet available for tests and analyses. Therefore, the deployment of Robo-taxi services in a comprehensive manner is tedious. Moreover, software development for Robo-taxis is a complex process, and widespread application of level 5 autonomous vehicles is not only capital-intensive but is subject to regulatory compliance as well.

Opportunity: Government initiatives to drive the market growth for Robo-taxis

The race to deploy autonomous vehicles, especially in developed nations, has caught the attention of public policy-makers in autonomous transportation and its potential impact. Governments of various countries have already loosened legal hindrances to performing the testing of self-driving vehicles. The Ministry of Transport and Communications of Finland has gone a step ahead as it has prepared a legal structure for testing autonomous vehicles. Similarly, countries such as Austria, France, Netherlands, UK, and the US are also following suit.

Challenge: Navigation in crowded spaces

Robo-taxis would wait for people to cross zebra crossings and move after that. However, in developing countries, jaywalking is a commonplace practice with people passing by a zebra crossing randomly. This practice poses a significant challenge for Robo-taxis in developing countries. Crowded areas would also create a problem for these vehicles and would be a major challenge for implementing Robo-taxis. Technological advancements and strict implementation of regulations for pedestrians will help resolve this issue. Some organizations are working to solve the problem with the help of real-time data. For instance, Mobileye crowdsources real-time road condition reports from vehicles equipped with intelligent fleet features and feeds the data for use in self-driving vehicles, making sure networked smart cars can navigate real roads better.

Scope of the Report

Report Metric

Details

Market size available for years

2018 - 2030

Base year considered

2018

Forecast period

2020–2030

Forecast units

Units (Volume)

Segments covered

Application, Level of Autonomy, Vehicle, Propulsion, Component, Service Type, and Region

Geographies covered

North America, Asia Pacific, Europe, and Rest of the World

Companies covered

Total of 25 major players are covered under the report., including, Tesla (US), Easy Ride (Nissan + DeNa) (Japan), Ford (US), Volkswagen (Germany), Volvo (Sweden), Waymo (US), General Motors (US), LYFT (US), Uber (US), Daimler AG (Germany), Nutonomy (Ireland)

This research report categorizes the Robo-taxi market based on application, level of autonomy, vehicle, propulsion, component, service type, and region.

Based on application type

  • Goods Transportation
  • Passenger Transportation

Based on level of autonomy

  • Level 4
  • Level 5

Based on vehicle type

  • Car
  • Shuttle/Van

Based on propulsion

  • Electric
  • Hybrid
  • Fuel Cell

Based on service type

  • Car Rental
  • Station Based

Based on component

  • Camera
  • Radar
  • LiDAR
  • Ultrasonic Sensors

Based on region

  • Asia Pacific
    • China
    • India
    • Japan
    • South Korea
    • Singapore
  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • France
    • Germany
    • Norway
    • Spain
    • UK
    • The Netherlands
    • Sweden
  • Rest of the World
    • UAE
    • Russia

Key market players

Tesla (US), Easy Ride (Nissan + DeNA) (Japan), Ford (US), Volkswagen (Germany), Volvo (Sweden)

Key questions addressed in the report

  • Where will Robo-taxis take the industry in the long term?
  • How will the Robo-taxi market cope with the challenge of the high cost of implementation?
  • What is the impact of ride-sharing services on the Robo-taxi market?
  • What are the upcoming trends in the ride-sharing services? What impact would they make post-2022?
  • What are the key strategies adopted by the top players to increase their revenue?

To speak to our analyst for a discussion on the above findings, click Speak to Analyst

Table of Contents

1 Introduction (Page No. - 15)
    1.1 Objectives of the Study
    1.2 Market Definition
    1.3 Market Scope
           1.3.1 Markets Covered
           1.3.2 Years Considered for the Study
    1.4 Currency
    1.5 Limitations
    1.6 Stakeholders

2 Research Methodology (Page No. - 19)
    2.1 Research Data
    2.2 Secondary Data
           2.2.1 Key Secondary Sources
           2.2.2 Key Data From Secondary Sources
    2.3 Primary Data
           2.3.1 Sampling Techniques & Data Collection Methods
           2.3.2 Primary Participants
           2.3.3 Key Data From Primary Sources
    2.4 Market Size Estimation
           2.4.1 Bottom-Up Approach
    2.5 Market Breakdown and Data Triangulation
    2.6 Assumptions

3 Executive Summary (Page No. - 27)

4 Premium Insights (Page No. - 31)
    4.1 Robo-Taxi Market to Grow at A Significant Rate During the Forecast Period (2020–2030)
    4.2 North America to Lead the Global Robo-Taxi Market
    4.3 Global Robo-Taxi Market, By Vehicle Type and Application
    4.4 Robo-Taxi Market, By Vehicle Type
    4.5 Robo-Taxi Market, By Service Type
    4.6 Robo-Taxi Market, By Application
    4.7 Robo-Taxi Market, By Level of Autonomy
    4.8 Robo-Taxi Market, By Propulsion

5 Market Overview (Page No. - 36)
    5.1 Introduction
    5.2 Market Dynamics
           5.2.1 Drivers
                    5.2.1.1 Race to Deploy Autonomous Vehicles
                    5.2.1.2 Demand for Fuel-Efficient and Emission-Free Vehicles
                    5.2.1.3 Need for Better Road Safety and Traffic Control
           5.2.2 Restraints
                    5.2.2.1 Machines Jeopardizing Human Jobs Likely to Reduce Wide Acceptance
                    5.2.2.2 High R&D Cost for Implementation
                    5.2.2.3 Cybersecurity Threats
           5.2.3 Opportunities
                    5.2.3.1 Government Initiatives to Drive the Market
                    5.2.3.2 Robotic Assistance
                    5.2.3.3 Rapid Urbanization to Develop Better Infrastructure in Developing Nations
           5.2.4 Challenges
                    5.2.4.1 Navigation in Crowded Spaces
                    5.2.4.2 Gaining Public and Individual Trust
           5.2.5 Impact of Market Dynamics

6 Robo-Taxi Market, Future Trends & Scenario (2018–2030) (Page No. - 42)
    6.1 Introduction
    6.2 Robo-Taxi Market – Most Likely Scenario
    6.3 Robo-Taxi Market – Optimistic Scenario
    6.4 Robo-Taxi Market – Pessimistic Scenario

7 Industry Trends (Page No. - 45)
    7.1 Technological Overview
           7.1.1 IoT and 5G in Robo-Taxi Market
           7.1.2 Artificial Intelligence and Machine Learning in Robo-Taxi Market
           7.1.3 Cybersecurity and Data Privacy
    7.2 Regulatory Overview
    7.3 Macroindicator Analysis
           7.3.1 Growth of Robo-Taxi Market
           7.3.2 GDP (USD Billion)
           7.3.3 GNI Per Capita, Atlas Method (USD)
           7.3.4 GDP Per Capita PPP (USD)
           7.3.5 Macroindicators Influencing the Robo-Taxi Market, Top 3 Countries
                    7.3.5.1 Germany
                    7.3.5.2 US
                    7.3.5.3 China

8 Robo-Taxi Market, By Component (Page No. - 55)
    8.1 Introduction
    8.2 Camera
    8.3 Lidar
    8.4 Radar
    8.5 Ultrasonic Sensors

9 Robo-Taxi Market, By Application (Page No. - 57)
    9.1 Introduction
    9.2 Goods Transportation
           9.2.1 Rising Ecommerce Services and Utilization of Transport Capacity Will Drive the Goods Segment
    9.3 Passenger Transportation
           9.3.1 Growth in Urbanization Will Boost the Passenger Segment

10 Robo-Taxi Market, By Service Type (Page No. - 61)
     10.1 Introduction
     10.2 Car Rental
             10.2.1 Concerns Over Traffic Congestion are Driving the Car Rental Market
     10.3 Station-Based
             10.3.1 Focus on Public Safety Will Boost the Sation-Based Robo-Taxi Market

11 Robo-Taxi Market, By Level of Autonomy (LOA) (Page No. - 65)
     11.1 Introduction
     11.2 Level 4
             11.2.1 Lack of Development in Level 5 Would Help the Level 4 Market to Expand Rapidly
     11.3 Level 5
             11.3.1 Future Technical Advancements Would Drive the Level 5 Market

12 Robo-Taxi Market, By Propulsion (Page No. - 69)
     12.1 Introduction
     12.2 Electric
             12.2.1 High Focus on Electric Robo-Taxis Will Boost the Overall Demand
     12.3 Fuel Cell
             12.3.1 Focus on Curbing Emissions Will Boost the Fuel Cell Robo-Taxi Market
     12.4 Hybrid
             12.4.1 Developments By Waymo and Other Player Will Drive the Hybrid Robo-Taxi Market

13 Robo-Taxi Market, By Vehicle (Page No. - 74)
     13.1 Introduction
     13.2 Car
             13.2.1 Developments in Ride-Sharing Market to Increase the Demand for Robo-Taxis
     13.3 Van/Shuttle
             13.3.1 Rising Focus on Public Transport Will Boost the Robo-Taxi Market

14 Robo-Taxi Market, By Region (Page No. - 78)
     14.1 Introduction
     14.2 Asia Pacific
             14.2.1 China
                        14.2.1.1 Technological Advancements in Autonomous Driving Will Boost the Market in China
             14.2.2 India
                        14.2.2.1 Government Policies and Infrastructure Will Impact the Market Positively
             14.2.3 Japan
                        14.2.3.1 Development of Advanced Ev Technologies to Reduce Carbon Footprint Will Drive the Market
             14.2.4 South Korea
                        14.2.4.1 Government Initiatives Towards Adoption of Ev to Propel the Market
             14.2.5 Singapore
                        14.2.5.1 Government Initiatives Towards Smarter Transportation to Drive the Overall Market
     14.3 Europe
             14.3.1 France
                        14.3.1.1 High Demand for Electric Vehicles Will Drive the Market
             14.3.2 Germany
                        14.3.2.1 Innovations From German Automakers in Autonomous Driving to Drive the Market
             14.3.3 Norway
                        14.3.3.1 Government Initiative to 0% Emission in Public Transport to Propel the Market
             14.3.4 Spain
                        14.3.4.1 Government Initiative for Safer Transportation is the Key Factor in the Overall Growth
             14.3.5 Sweden
                        14.3.5.1 Increasing Focus on Av Technology is Driving the Demand
             14.3.6 Netherlands
                        14.3.6.1 Increasing Ev Sales in the Country Will Boost the Market
             14.3.7 UK
                        14.3.7.1 Good Ev Infrastructure to Fuel the Growth of Robo-Taxi Market
     14.4 North America
             14.4.1 Canada
                        14.4.1.1 Developments in Ev Infrastructure Will Propel the Growth
             14.4.2 Mexico
                        14.4.2.1 Rising Awareness of Low Emission and Safe Transport Will Drive the Market
             14.4.3 US
                        14.4.3.1 Availability of Infrastructure, Regulation, and Large-Scale Testing Will Boost the Market
             14.4.4 Rest of the World (RoW)
             14.4.5 Russia
                        14.4.5.1 Advancements in Autonomous Driving Technology May Impact the Market Positively
             14.4.6 UAE
                        14.4.6.1 Growing Infrastructure for Ev Technology Will Impact the Market

15 Competitive Landscape (Page No. - 95)
     15.1 Overview
     15.2 Market Ranking Analysis
     15.3 Competitive Scenario
             15.3.1 New Product Developments
             15.3.2 Collaborations/Joint Ventures/Supply Contracts/Partnerships/Agreements
             15.3.3 Expansions, 2017–2019
     15.4 Competitive Leadership Mapping
             15.4.1 Visionary Leaders
             15.4.2 Innovators

16 Company Profiles (Page No. - 103)
     16.1 Waymo (Google)
             16.1.1 Business Overview
             16.1.2 Products and Services Offered
             16.1.3 Recent Developments
     16.2 Cruise Automation (General Motors)
             16.2.1 Business Overview
             16.2.2 Products Offered
             16.2.3 Recent Developments
     16.3 Tesla
             16.3.1 Business Overview
             16.3.2 Services Offered
             16.3.3 SWOT Analysis
     16.4 Easy Ride (Nissan & Dena)
             16.4.1 Business Overview
             16.4.2 Services Offered
             16.4.3 Recent Developments
             16.4.4 SWOT Analysis
     16.5 Lyft
             16.5.1 Business Overview
             16.5.2 Services Offered
             16.5.3 Recent Developments
     16.6 Uber
             16.6.1 Business Overview
             16.6.2 Services Offered
             16.6.3 Recent Developments
     16.7 Daimler AG
             16.7.1 Business Overview
             16.7.2 Services Offered
             16.7.3 Recent Developments
     16.8 Ford (Argo.Ai)
             16.8.1 Business Overview
             16.8.2 Services Offered
             16.8.3 Recent Developments
             16.8.4 SWOT Analysis
     16.9 Nutonomy (Aptiv)
             16.9.1 Business Overview
             16.9.2 Service Offered
             16.9.3 Recent Developments
     16.10 NAVYA
             16.10.1 Business Overview
             16.10.2 Products Offered
             16.10.3 Recent Developments
     16.11 Volkswagen
             16.11.1 Business Overview
             16.11.2 Services Offered
             16.11.3 Recent Developments
             16.11.4 SWOT Analysis
     16.12 Volvo
             16.12.1 Business Overview
             16.12.2 Products Offered
             16.12.3 Recent Developments
             16.12.4 SWOT Analysis
     16.13 Other Key Players
             16.13.1 Asia Pacific
                        16.13.1.1 Didi Chuxing
                        16.13.1.2 Weride
             16.13.2 Europe
                        16.13.2.1 Easymile
                        16.13.2.2 Transdev
                        16.13.2.3 ZF
             16.13.3 North America
                        16.13.3.1 Auro Ridecell
                        16.13.3.2 Drive.AI
                        16.13.3.3 Local Motors
                        16.13.3.4 May Mobility
                        16.13.3.5 Optimus Ride
                        16.13.3.6 Pony.AI
                        16.13.3.7 Voyage
                        16.13.3.8 Zoox

17 Appendix (Page No. - 130)
     17.1 Discussion Guide – Robo-Taxi Market
     17.2 Knowledge Store: Marketsandmarkets’ Subscription Portal
     17.3 Available Customizations
     17.4 Related Reports
     17.5 Author Details


List of Tables (44 Tables)

Table 1 Currency Exchange Rates (Per 1 USD)
Table 2 Robo-Taxi Market (Most Likely), By Region, 2018–2030 (Units)
Table 3 Robo-Taxi Market (Optimistic Scenario), By Region, 2018–2030 (Units)
Table 4 Robo-Taxi Market (Pessimistic), By Region, 2018–2030 (Units)
Table 5 Robo-Taxi Market, By Application, 2018–2030 (Units)
Table 6 Goods Transportation: Robo-Taxi Market, By Region, 2018–2030 (Units)
Table 7 Passenger Transportation: Robo-Taxi Market, By Region 2018–2030 (Units)
Table 8 Robo-Taxi Market, By Service Type, 2018–2030 (Units)
Table 9 Car Rental: Robo-Taxi Market, By Region, 2018–2030 (Units)
Table 10 Station-Based: Robo-Taxi Market, By Region 2018–2030 (Units)
Table 11 Robo-Taxi Market, By Level of Autonomy, 2018–2030 (Units)
Table 12 Level 4: Robo-Taxi Market, By Region, 2018–2030 (Units)
Table 13 Level 5: Rolling Stock Management Market, By Region 2018–2030 (Units)
Table 14 Robo-Taxi Market, By Propulsion, 2018–2030 (Units)
Table 15 Electric: Robo-Taxi Market, By Region, 2018–2030 (Units)
Table 16 Fuel Cell: Robo-Taxi Market, By Region 2018–2030 (Units)
Table 17 Hybrid: Robo-Taxi Market, By Region 2018–2030 (Units)
Table 18 Robo-Taxi Market, By Vehicle, 2018–2030 (Units)
Table 19 Car: Robo-Taxi Market, By Region, 2018–2030 (Units)
Table 20 Vans/Shuttle: Robo-Taxi Market, By Region 2018–2030 (Units)
Table 21 Robo-Taxi Market, By Region, 2018–2030 (Units)
Table 22 Asia Pacific: Robo-Taxi Market, By Country, 2018–2030 (Units)
Table 23 China: Robo-Taxi Market, By Vehicle Type, 2018–2030 (Units)
Table 24 India: Robo-Taxi Market, By Vehicle Type, 2018–2030 (Units)
Table 25 Japan: Robo-Taxi Market, By Vehicle Type, 2018–2030 (Units)
Table 26 South Korea: Robo-Taxi Market, By Vehicle Type, 2018–2030 (Units)
Table 27 Singapore: Robo-Taxi Market, By Vehicle Type, 2018–2030 (Units)
Table 28 Europe: Robo-Taxi Market, By Country, 2018–2030 (Units)
Table 29 France: Robo-Taxi Market, By Vehicle Type, 2018–2030 (Units)
Table 30 Germany: Robo-Taxi Market, By Vehicle Type, 2018–2030 (Units)
Table 31 Norway: Robo-Taxi Market, By Vehicle Type, 2018–2030 (Units)
Table 32 Spain: Robo-Taxi Market, By Vehicle Type, 2018–2030 (Units)
Table 33 Sweden: Robo-Taxi Market, By Vehicle Type, 2018–2030 (Units)
Table 34 Netherlands: Robo-Taxi Market, By Vehicle Type, 2018–2030 (Units)
Table 35 UK: Robo-Taxi Market, By Vehicle Type, 2018–2030 (Units)
Table 36 North America: Robo-Taxi Market, By Country, 2018–2030 (Units)
Table 37 Canada: Robo-Taxi Market, By Vehicle Type, 2018–2030 (Units)
Table 38 Mexico: Robo-Taxi Market, By Vehicle Type, 2018–2030 (Units)
Table 39 US: Robo-Taxi Market, By Vehicle Type, 2018–2030 (Units)
Table 40 RoW: Robo-Taxi Market, By Vehicle Type, 2018–2030 (Units)
Table 41 Russia: Robo-Taxi Market, By Vehicle Type, 2018–2030 (Units)
Table 42 UAE: Robo-Taxi Market, By Vehicle Type, 2018–2030 (Units)
Table 43 New Product Developments, 2016–2019
Table 44 Collaborations/Joint Ventures/Supply Contracts/Partnerships/ Agreements, 2016–2018


List of Figures (57 Figures)

Figure 1 Robo-Taxi Market Segmentation
Figure 2 Robo-Taxi Market: Research Design
Figure 3 Research Methodology Model
Figure 4 Breakdown of Primary Interviews
Figure 5 Market Size Estimation Methodology for the Robo-Taxi Market: Bottom-Up Approach
Figure 6 Data Triangulation
Figure 7 Robo-Taxi Market: Market Dynamics
Figure 8 Robo-Taxi Market, By Region, 2020–2030 (Market Share)
Figure 9 Car is Expected to Hold the Largest Share in the Robo-Taxi Market in 2020
Figure 10 Growth of Ride-Hailing Service and Increasing Focus on Road Safety Will Boost the Robo-Taxi Market
Figure 11 Robo-Taxi Market Share, By Region, 2020
Figure 12 Car is Expected to Account for the Largest Share of the Robo-Taxi Market in 2020
Figure 13 Car Segment to Hold the Largest Market Share, 2020 vs. 2030 (Units)
Figure 14 Car Rental Segment to Hold the Largest Market Share, 2020 vs. 2030 (Units)
Figure 15 Passenger Transportation Segment to Play A Major Role in the Robo-Taxi Market (2020–2030)
Figure 16 Level 4 Autonomy to Play A Major Role in the Robo-Taxi Market (2020–2030)
Figure 17 Electric Segment to Play A Major Role in the Robo-Taxi Market (2020–2030)
Figure 18 Robo-Taxi Market: Market Dynamics
Figure 19 Five Eras of Safety
Figure 20 Society of Automotive Engineers Automation Levels
Figure 21 Robo-Taxi Market– Future Trends & Scenario, 2018–2030 (Units)
Figure 22 Iot Devcies in Autonomous Vehicles
Figure 23 Sensors and their Importance in Autonomous Vehicles
Figure 24 Connected Vehicle for Autonomous Driving
Figure 25 Applications of Ai in Automotive Industry
Figure 26 Data From an Autonomous Vehicle
Figure 27 Enacted Legislation and Executive Order in the Us
Figure 28 Autonomous Vehicle Testing Area in China
Figure 29 Autonomous Vehicle Testing Area in Germany
Figure 30 Autonomous Vehicle Testing Area in Singapore
Figure 31 Robo-Taxi Market: By Level of Autonomy, 2020 vs. 2030 (Units)
Figure 32 Robo-Taxi Market, By Service Type, 2020 vs. 2030 (Units)
Figure 33 Robo-Taxi Market, By Level of Autonomy, 2020 vs. 2030 (Units)
Figure 34 Robo-Taxi Market, By Propulsion, 2020 vs. 2030 (Units)
Figure 35 Robo-Taxi Market, By Vehicle, 2020 vs. 2030 (Units)
Figure 36 Robo-Taxi Market, By Region, 2020 vs. 2030
Figure 37 Asia Pacific: Robo-Taxi Market Snapshot
Figure 38 Europe: Robo-Taxi Market Snapshot
Figure 39 Key Developments By Leading Players in the Market, 2016–2019
Figure 40 Robo-Taxi Market (Global): Competitive Leadership Mapping for Oems, 2019
Figure 41 Robo-Taxi Market (Global): Competitive Leadership Mapping for Tier 1 Companies, 2019
Figure 42 Waymo (Google): Company Snapshot
Figure 43 General Motors: Company Snapshot
Figure 44 Tesla: Company Snapshot
Figure 45 Tesla: SWOT Analysis
Figure 46 Nissan: Comapany Snapshot
Figure 47 Nissan: SWOT Analysis
Figure 48 Lyft: Company Snapshot
Figure 49 Diamler AG: Company Snapshot
Figure 50 Ford: Company Snapshot
Figure 51 Ford: SWOT Analysis
Figure 52 Aptiv: Company Snapshot
Figure 53 NAVYA Group: Company Snapshot
Figure 54 Volkswagen: Company Snapshot
Figure 55 Volkswagen: SWOT Analysis
Figure 56 Volvo Cars: Company Snapshot
Figure 57 Volvo: SWOT Analysis

The study involved 4 major activities in estimating the current size of the robo-taxi market. Exhaustive secondary research was done to collect information on the market, the peer market, and the parent market. The next step was to validate these findings, assumptions, and sizing with the industry experts across value chains through primary research. The top-down approach was employed to estimate the complete market size. Thereafter, market breakdown and data triangulation were used in estimating the market size of segments and subsegments.

Secondary Research

In the secondary research process, various secondary sources such as company annual reports/presentations, press releases, industry association publications [for example, publications of automobile OEMs, American Automobile Association (AAA), country-level automotive associations and European Alternative Fuels Observatory (EAFO)], automobile magazines, articles, directories, technical handbooks, World Economic Outlook, trade websites, technical articles, and databases (for example, Marklines, and Factiva) have been used to identify and collect information useful for an extensive commercial study of the global robo-taxi market.

Primary Research

Extensive primary research has been conducted after acquiring an understanding of the Robo-taxi market scenario through secondary research. Several primary interviews have been conducted with market experts from both the demand-side [robo-taxi operators (in terms of services, country-level government associations, and trade associations)] and supply-side (OEMs and component manufacturers) across 4 major regions, namely, North America, Europe, Asia Pacific, and the Rest of the World. Approximately 14% and 86% of primary interviews have been conducted from the demand- and supply-side, respectively. Primary data has been collected through questionnaires, emails, and telephonic interviews. In the canvassing of primaries, we have strived to cover various departments within organizations, such as sales, operations, and administration, to provide a holistic viewpoint in our report.
After interacting with industry experts, we have also conducted brief sessions with highly experienced independent consultants to reinforce the findings from our primaries. This, along with the in-house subject-matter experts’ opinions, has led us to the findings as described in the remainder of this report. Following is the breakdown of primary respondents

Robo-Taxi Market

To know about the assumptions considered for the study, download the pdf brochure

Market Size Estimation

The bottom-up approach was used to estimate and validate the total size of the robo-taxi market. These methods were also used extensively to estimate the size of various subsegments in the market. The research methodology used to estimate the market size includes the following:

  • The key players in the industry and markets have been identified through extensive secondary research.
  • The industry’s supply chain and market size, in terms of volume, have been determined through primary and secondary research processes.
  • All percentage shares, splits, and breakdowns have been determined using secondary sources and verified through primary sources.

Data Triangulation

After arriving at the overall market size-using the market size estimation processes as explained above-the market was split into several segments and subsegments. To complete the overall market engineering process and arrive at the exact statistics of each market segment and subsegment, data triangulation, and market breakdown procedures were employed, wherever applicable. The data was triangulated by studying various factors and trends from both the demand and supply sides.

Report Objectives

  • To segment and forecast the robo-taxi market, in terms of volume (units)
  • To define, describe, and forecast the robo-taxi market based on vehicle type, propulsion type, automation level, type of application, service type, and region
  • To analyze the regional markets for growth trends, prospects, and their contribution to the overall market
  • To segment and forecast the robo-taxi market, by application (passenger transportation and goods transportation)
  • To segment and forecast the robo-taxi market, by service type (car rental and station-based)
  • To segment and forecast the robo-taxi market, by propulsion (hybrid, electric, and fuel cell)
  • To segment the robo-taxi market providing qualitative data on the basis of component (camera, LiDAR, radar, and ultra-sonic sensors)
  • To segment and forecast the robo-taxi market, by level of autonomy (level 4 and level 5)
  • To segment and forecast the robo-taxi market, by vehicle (car and van/shuttle)
  • To forecast the robo-taxi market with respect to the key regions, namely, North America, Europe, Asia Pacific, and Rest of the World
  • To provide detailed information regarding the major factors influencing the market growth (drivers, restraints, opportunities, and challenges)
  • To strategically analyze markets with respect to individual growth trends, future prospects, and contribution to the total market
  • To analyze opportunities for stakeholders and details of the competitive landscape for market leaders
  • To strategically profile key players and comprehensively analyze their respective market share and core competencies
  • To analyze recent developments, alliances, joint ventures, product innovations, and mergers & acquisitions in the robo-taxi market

Available Customizations

With the given market data, MarketsandMarkets offers customizations in accordance to the company’s specific needs.

  • Robo-taxi Market, by vehicle at country level (for countries not covered in the report)
  • Robo-taxi Market, by application at country level (for countries not covered in the report)

Company Information

  • Profiling of Additional Market Players (Up to 3)
Report Code
AT 7054
Published ON
Apr, 2019
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