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Self-Driving Bus Market by Level of Automation and Component: Global Opportunity Analysis and Industry Forecast, 2020-2026

  • ID: 4990089
  • Report
  • December 2019
  • Region: Global
  • 195 pages
  • Allied Analytics LLP
UP TO OFF
until May 30th 2020
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FEATURED COMPANIES

  • AV Volvo
  • Continental AG
  • Daimler AG
  • Hino Motors Ltd.
  • Hyundai Motor Company
  • Navya
  • MORE
A self-driving bus is a robotic vehicle designed to travel between destinations without the need of a human operator. It combines sensors and software to control, navigate, and drive and uses LiDAR and RADAR and several other sensors for operation. These self-driving systems create and maintain an internal map of their surroundings, based on a wide array of sensors. Artificial intelligence (AI) software controls all the functionality related to sensors working and RADAR sensor is used to detect obstacles. Such advance technologies helps control these vehicles efficiently. Self-driving buses provide advantages such as reduction in accidents caused due to driver’s error and reduction of hazardous gas (CO2) from vehicles.

The market is anticipated to witness a significant growth over the years, owing to the growth in connected infrastructure for automobile.

The global self-driving bus market is segmented on the basis of level of automation, component, and region. On the basis of level of automation, it is divided into level 3, level 4, and level 5. By component, it is categorized into hardware, software, and services. Region wise, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.

The key players analyzed in the self-driving bus market include AV Volvo, Continental AG, Volkswagen AG, Tesla, Scania AB, Daimler AG, Proterra, Hyundai Motor Company, Hino Motors, Ltd., and Navya.

KEY BENEFITS FOR STAKEHOLDERS
  • This study presents the analytical depiction of the global self-driving bus market along with the current trends and future estimations to depict the imminent investment pockets.
  • The overall market potential is determined to understand the profitable trends to enable stakeholders gain a stronger foothold in the market.
  • The report presents information related to key drivers, restraints, and opportunities with a detailed impact analysis.
  • The current market is quantitatively analyzed from 2019 to 2026 to highlight the financial competency of the market.
  • Porter’s five forces analysis illustrates the potency of the buyers and suppliers.
KEY MARKET SEGMENTS

By Level of Automation
  • Level 3
  • Level 4
  • Level 5
By Component
  • Hardware
  • Software
  • Services
By Region
  • North America
  • U.S.
  • Canada
  • Mexico
  • Europe
  • UK
  • Germany
  • Russia
  • France
  • Rest of Europe
  • Asia-Pacific
  • China
  • India
  • Japan
  • Australia
  • Rest of Asia-Pacific
  • LAMEA
  • Latin America
  • Middle East
  • Africa
Note: Product cover images may vary from those shown
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FEATURED COMPANIES

  • AV Volvo
  • Continental AG
  • Daimler AG
  • Hino Motors Ltd.
  • Hyundai Motor Company
  • Navya
  • MORE
Chapter 1: Introduction
1.1. Report Description
1.2. Key Benefits For Stakeholders
1.3. Key Market Segments
1.4. Research Methodology
1.4.1. Primary Research
1.4.2. Secondary Research
1.4.3. Analyst Tools And Models

Chapter 2: Executive Summary
2.1. CXO Perspective

Chapter 3: Market Overview
3.1. Market Definition And Scope
3.2. Key Findings
3.2.1. Top Impacting Factors
3.2.2. Top Investment Pockets
3.2.3. Top Winning Strategies
3.3. Porter’S Five Forces Analysis
3.4. Market Share Analysis (2019)
3.5. Market Dynamics
3.5.1. Drivers
3.5.1.1. Reduction In Traffic Congestion Due To Improved Safety
3.5.1.2. Growing Connected Infrastructure
3.5.2. Restraint
3.5.2.1. High Manufacturing Cost
3.5.2.2. Data Management Challenges
3.5.3. Opportunities
3.5.3.1. Development of Smart Cities.

Chapter 4: Self-Driving Bus Market, By Level of Automation
4.1. Overview
4.2. Level 3
4.2.1. Key Market Trends, Growth Factors And Opportunities
4.2.2. Market Size And Forecast, By Region
4.2.3. Market Analysis By Country
4.3. Level 4
4.3.1. Key Market Trends, Growth Factors, And Opportunities
4.3.2. Market Size And Forecast, By Region
4.3.3. Market Analysis By Country
4.4. Level 5
4.4.1. Key Market Trends, Growth Factors, And Opportunities
4.4.2. Market Size And Forecast, By Region
4.4.3. Market Analysis By Country

Chapter 5: Self-Driving Bus Market, By Component
5.1. Overview
5.2. Hardware
5.2.1. Key Market Trends, Growth Factors And Opportunities
5.2.2. Market Size And Forecast, By Region
5.2.3. Market Analysis By Country
5.3. Software
5.3.1. Key Market Trends, Growth Factors, And Opportunities
5.3.2. Market Size And Forecast, By Region
5.3.3. Market Analysis By Country
5.4. Services
5.4.1. Key Market Trends, Growth Factors, And Opportunities
5.4.2. Market Size And Forecast, By Region
5.4.3. Market Analysis By Country

Chapter 6: Self-Driving Bus Market, By Region
6.1. Overview
6.2. North America
6.2.1. Key Market Trends, Growth Factors, And Opportunities
6.2.2. Market Size And Forecast, By Level of Automation
6.2.3. Market Size And Forecast, By Component
6.2.4. Market Analysis By Country
6.2.4.1. U.S.
6.2.4.1.1. Market Size And Forecast, By Level of Automation
6.2.4.1.2. Market Size And Forecast, By Component
6.2.4.2. Canada
6.2.4.2.1. Market Size And Forecast, By Level of Automation
6.2.4.2.2. Market Size And Forecast, By Component
6.2.4.3. Mexico
6.2.4.3.1. Market Size And Forecast, By Level of Automation
6.2.4.3.2. Market Size And Forecast, By Component
6.3. Europe
6.3.1. Key Market Trends, Growth Factors, And Opportunities
6.3.2. Market Size And Forecast, By Level of Automation
6.3.3. Market Size And Forecast, By Component
6.3.4. Market Analysis By Country
6.3.4.1. UK
6.3.4.1.1. Market Size And Forecast, By Level of Automation
6.3.4.1.2. Market Size And Forecast, By Component
6.3.4.2. Germany
6.3.4.2.1. Market Size And Forecast, By Level of Automation
6.3.4.2.2. Market Size And Forecast, By Component
6.3.4.3. Russia
6.3.4.3.1. Market Size And Forecast, By Level of Automation
6.3.4.3.2. Market Size And Forecast, By Component
6.3.4.4. France
6.3.4.4.1. Market Size And Forecast, By Level of Automation
6.3.4.4.2. Market Size And Forecast, By Component
6.3.4.5. Rest of Europe
6.3.4.5.1. Market Size And Forecast, By Level of Automation
6.3.4.5.2. Market Size And Forecast, By Component
6.4. Asia-Pacific
6.4.1. Key Market Trends, Growth Factors, And Opportunities
6.4.2. Market Size And Forecast, By Level of Automation
6.4.3. Market Size And Forecast, By Component
6.4.4. Market Analysis By Country
6.4.4.1. China
6.4.4.1.1. Market Size And Forecast, By Level of Automation
6.4.4.1.2. Market Size And Forecast, By Component
6.4.4.2. Japan
6.4.4.2.1. Market Size And Forecast, By Level of Automation
6.4.4.2.2. Market Size And Forecast, By Component
6.4.4.3. India
6.4.4.3.1. Market Size And Forecast, By Level of Automation
6.4.4.3.2. Market Size And Forecast, By Component
6.4.4.4. Australia
6.4.4.4.1. Market Size And Forecast, By Level of Automation
6.4.4.4.2. Market Size And Forecast, By Component
6.4.4.5. Rest of Asia-Pacific
6.4.4.5.1. Market Size And Forecast, By Level of Automation
6.4.4.5.2. Market Size And Forecast, By Component
6.5. LAMEA
6.5.1. Key Market Trends, Growth Factors, And Opportunities
6.5.2. Market Size And Forecast, By Level of Automation
6.5.3. Market Size And Forecast, By Component
6.5.4. Market Analysis By Country
6.5.4.1. Latin America
6.5.4.1.1. Market Size And Forecast, By Level of Automation
6.5.4.1.2. Market Size And Forecast, By Component
6.5.4.2. Middle East
6.5.4.2.1. Market Size And Forecast, By Level of Automation
6.5.4.2.2. Market Size And Forecast, By Component
6.5.4.3. Africa
6.5.4.3.1. Market Size And Forecast, By Level of Automation
6.5.4.3.2. Market Size And Forecast, By Component

Chapter 7: Company Profiles
7.1. Av Volvo
7.1.1. Company Overview
7.1.2. Company Snapshot
7.1.3. Operating Business Segments
7.1.4. Business Performance
7.1.5. Key Strategic Moves And Developments
7.2. Continental Ag
7.2.1. Company Overview
7.2.2. Company Snapshot
7.2.3. Operating Business Segments
7.2.4. Product Portfolio
7.2.5. Business Performance
7.2.6. Key Strategic Moves And Developments
7.3. Volkswagen Ag
7.3.1. Company Overview
7.3.2. Company Snapshot
7.3.3. Operating Business Segments
7.3.4. Business Performance
7.3.5. Key Strategic Moves And Developments
7.4. Tesla
7.4.1. Company Overview
7.4.2. Company Snapshot
7.4.3. Operating Business Segments
7.4.4. Product Portfolio
7.4.5. Business Performance
7.5. Scania Ab
7.5.1. Company Overview
7.5.2. Company Snapshot
7.5.3. Operating Business Segments
7.5.4. Business Performance
7.5.5. Key Strategic Moves And Developments
7.6. Daimler Ag
7.6.1. Company Overview
7.6.2. Company Snapshot
7.6.3. Operating Business Segments
7.6.4. Business Performance
7.6.5. Key Strategic Moves And Developments
7.7. Proterra
7.7.1. Company Overview
7.7.2. Company Snapshot
7.7.3. Key Strategic Moves And Developments
7.8. Hyundai Motor Company
7.8.1. Company Overview
7.8.2. Company Snapshot
7.8.3. Operating Business Segments
7.8.4. Business Performance
7.9. Hino Motors, Ltd.
7.9.1. Company Overview
7.9.2. Company Snapshot
7.9.3. Business Performance
7.10. Navya
7.10.1. Company Overview
7.10.2. Company Snapshot
7.10.3. Product Portfolio
7.10.4. Business Performance
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FEATURED COMPANIES

  • AV Volvo
  • Continental AG
  • Daimler AG
  • Hino Motors Ltd.
  • Hyundai Motor Company
  • Navya
  • MORE
According to the report titled 'Self-Driving Bus Market by Level of Automation and Component: Global Opportunity Analysis and Industry Forecast, 2020-2026', the global self-driving bus market size is anticipated to value at $6.81 billion in 2019, and is projected to reach $74.52 billion by 2026, registering a CAGR of 40.5% from 2020 to 2026.

Presently, North America dominates the market, followed by Europe, LAMEA, and Asia-Pacific. U.S. dominated the North America self-driving bus market share in 2019 and is anticipated to exhibit a remarkable growth during the forecast period.

Self-driving buses require high amount of computational power as the amount of data generated is enormous. Autonomous vehicles interact with other intelligent transportation systems, which generate large amount of data, therefore, need a proper data storage and processing system. Furthermore, they require a large set of datasets for training. Neural networks of autonomous vehicles need to be trained on representative datasets, which include examples of all possible conditions including driving, weather, roads, and other situational conditions.

Level 3 autonomous vehicles are capable of environment detection and can make informed decisions such as accelerating and decelerating past a moving vehicle based on the data collected by sensors from the environment. However, vehicles with level 3 automation still require human override and must remain alert and ready to take control. The major difference between level 3 and level 4 autonomous driving is that level 4 vehicles can take control in case there is a system failure or if things go wrong while driving. In addition, there is no need of human override to control these vehicles. However, driver can take up the option to manually override. Level 5 automation eliminates the need for a steering wheel and gas and brake pedals. Human’s role shifts from being a driver to just a passenger, where they need to tell the vehicle about destination and it can drive them anytime, anywhere, under any conditions. Humans have no other involvement in driving the vehicle, they only control the destination.

All the hardware components which are used for the functioning of self-driving buses are studied under the hardware segment. Hardware is divided into three categories—sensors, processors, and actuators. The sensors used in driverless cars consist of ultrasonic sensors, cameras, LiDAR, and RADAR. Software for self-driving buses consist of artificial intelligence (AI), image processing, face recognition, threat detection, and scattered laser beam detection. Services include training to operate these vehicles in a proper way, maintenance of vehicles to function well after using, and compliance with testing and design criteria required to launch a self-driving bus. These services also cover full vehicle homologation and testing, cellular regulatory & carrier approvals, and FCC compliance.

Factors such as reduction in traffic congestion due as it is capable of controlling pace of a vehicle on its own and growth in connected infrastructure are anticipated to drive the growth of the global self-driving bus market. However, high manufacturing cost and data management challenges are the factors hindering the growth of self-driving bus market. Further, development of smart cities is anticipated to provide remarkable growth opportunities for the players operating in the self-driving bus market.

Key Finding of The Self-driving Bus Market:

On the basis of level of automation, the level 4 segment is anticipated to exhibit a remarkable growth during the forecast period.
On the basis of component, the service segment is anticipated to grow at the highest CAGR during the forecast period.
Self-driving bus market region wise, Europe is the fastest growing region, followed by North America, Asia-Pacific, and LAMEA.
The key players analyzed in this report are AV Volvo, Continental AG, Volkswagen AG, Tesla, Scania AB, Daimler AG, Proterra, Hyundai Motor Company, Hino Motors, Ltd., and Navya.
Note: Product cover images may vary from those shown
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  • AV Volvo
  • Continental AG
  • Volkswagen AG
  • Tesla
  • Scania AB
  • Daimler AG
  • Proterra
  • Hyundai Motor Company
  • Hino Motors Ltd.
  • Navya
Note: Product cover images may vary from those shown
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The analyst offers exhaustive research and analysis based on a wide variety of factual inputs, which largely include interviews with industry participants, reliable statistics, and regional intelligence. The in-house industry experts play an instrumental role in designing analytic tools and models, tailored to the requirements of a particular industry segment. The primary research efforts include reaching out participants through mail, tele-conversations, referrals, professional networks, and face-to-face interactions.

They are also in professional corporate relations with various companies that allow them greater flexibility for reaching out to industry participants and commentators for interviews and discussions.

They also refer to a broad array of industry sources for their secondary research, which typically include; however, not limited to:

  • Company SEC filings, annual reports, company websites, broker & financial reports, and investor presentations for competitive scenario and shape of the industry
  • Scientific and technical writings for product information and related preemptions
  • Regional government and statistical databases for macro analysis
  • Authentic news articles and other related releases for market evaluation
  • Internal and external proprietary databases, key market indicators, and relevant press releases for market estimates and forecast

Furthermore, the accuracy of the data will be analyzed and validated by conducting additional primaries with various industry experts and KOLs. They also provide robust post-sales support to clients.

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