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Autonomous Vehicle Market Growth & Key Business Strategies by Leading Industry Players General Motors, Daimler AG, Ford Motor Company., Volkswagen Group, BMW AG, Renault-Nissan-Mitsubishi alliance, Volvo-Autoliv-Ericsson-Zenuity alliance, Groupe SA, AB Vo

12-20-2018 02:44 PM CET | Industry, Real Estate & Construction

Press release from: Allied Market Research

Autonomous Vehicle Market

Autonomous Vehicle Market

In 2019, the level 3 segment is estimated to dominate the global autonomous vehicle market based on the level of automation segment, in terms of revenue. Furthermore, based on component, hardware is projected to lead the global market, followed by software in 2019. Autonomous vehicles use artificial intelligence (AI) software, light detection & ranging (LiDAR), and RADAR sensing technology which further is used to monitor a 60-meter range around the car and form active 3D map of the current environment. In addition, advancements in technology used in autonomous vehicles such as reading driver‐™s facial expression and activities such as drifting, braking, and accelerations to prevent possible accidents makes them more powerful, efficient, and attractive as well.

Global Autonomous Vehicle Market by Level of Automation, Component, and Application: Global Opportunity Analysis and Industry Forecast, 20192026, The global autonomous vehicle market is expected to be valued at $54.23 billion in 2019, and is projected to reach $556.67 billion by 2026, registering a CAGR of 39.47% from 2019 to 2026.

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Autonomous vehicle also known as self-driving vehicles uses artificial intelligence (AI) software, light detection & ranging (LiDAR), and RADAR sensing technology, which is further used to monitor a 60-meter range around the car and to form an active 3D map of the current environment. The vehicle is designed to travel between destinations without a human operator.

They combine sensors and software to control, navigate, and drive the vehicle. Autonomous vehicle uses LiDAR, RADAR sensors for its operation. Most self-driving systems create and maintain an internal map of their surroundings, based on a wide array of sensors, like radar.

The major companies profiled in the report are General Motors, Daimler AG, Ford Motor Company., Volkswagen Group, BMW AG, Renault-Nissan-Mitsubishi alliance, Volvo-Autoliv-Ericsson-Zenuity alliance, Groupe SA, AB Volvo, Toyota Motor Corporation, and Tesla Inc. Other companies in accordance with auto suppliers are Robert Bosch GMBH, Aptiv, Continental AG, and Denso Corporation. Also by technology providers, it includes Waymo, NVDIA Corporation, Intel Corporation, Baidu, and Samsung. And based on autonomous vehicle as a service provider, it includes Uber, Lyft and Didi Chuxing.

The autonomous vehicle market is segmented based on level of automation, component, application, and region. Based on level of automation, the market is divided into level 3, level 4, and level 5. By component, it is classified into hardware, software, and service. The applications discussed in this study are civil, robo taxi, ride hail, ride share, self-driving truck, and self-driving bus. Based on region, the market is analyzed across North America, Europe, AsiaPacific, and LAMEA.

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Development of smart cities and rise in demand for connected cars using internet of things (IoT), help solve the problem of traffic congestion, and impact the growth of the market. In addition, development in automotive sector, demand for the luxury cars, government regulation, high cost, and the burgeoning threat from hackers in driving operation also affect the growth of the global autonomous vehicle market. These factors are anticipated to either drive or hamper the market growth.

Through Internet of Things, car drivers improve their performance by receiving the real-time feedback from high speed in-memory computing systems inbuilt in connected cars. These inbuilt computers offer features such as collecting, analyzing, and storing data which helps for making decisions. The wide adoption of connected cars is expected to create lucrative opportunities for autonomous and semi-autonomous vehicles.

Rapid growth of economies ensures robust development from transport infrastructure to development of smart cities. Many countries such as Mexico, Canada, and the U.S. are deploying digital infrastructure to facilitate connectivity between vehicles and infrastructures to gather vital information, and thereby, reduce traffic congestion and increase road safety. Rise in the development of smart cities is expected to significantly drive the Autonomous Vehicle Market.

Due to constant technological advancements, the software in autonomous vehicle needs to be frequently upgraded to keep them compatible with the external environment. Also, the cost of all components and the sensor assembly in autonomous cars is more than emerging vehicles. Moreover, the ratio of premium consumers to that of economic consumers is very less globally, as it is difficult for ordinary people to afford high end cars. Therefore, high initial cost coupled with maintenance cost hamper the adoption of the autonomous vehicles.

Table of Content:

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

3.3.1. Low-to-high bargaining power of suppliers
3.3.2. Moderate-to-high threat of new entrants
3.3.3. Moderate threat of substitutes
3.3.4. Moderate intensity of rivalry
3.3.5. Low-to-moderate bargaining power of buyers

3.4. Competitive landscape

3.4.1. Market evolution
3.4.2. Industry roadmap
3.4.3. Market share analysis

3.4.3.1. Global market share analysis (Value)
3.4.3.2. Global market share analysis (Volume)

3.4.3.2.1. Race analysis of AV makers

3.4.4.1. U.S. market share analysis (Value)
3.4.4.2. U.S. market share analysis (Volume)
3.4.4.3. Market share analysis by auto suppliers

3.4.4.3.1. Race analysis of auto suppliers

3.4.4.4. Market share analysis by technology providers

3.4.4.4.1. Race analysis of technology providers

3.4.4.5. Market share analysis, by vehicle type (civil vs commercial)

3.5. Market dynamics

3.5.1. Drivers

3.5.1.1. Improved safety along with reduction in traffic congestion
3.5.1.2. Growth of connected infrastructure
3.5.1.3. Transition from ownership to mobility-as-a-service (MaaS)

3.5.2. Restraints

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
3.5.3.2. Supportive government regulations

Chapter: 4: AUTONOMOUS VEHICLE 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: AUTONOMOUS VEHICLE MARKET, BY APPLICATION

5.1. Overview
5.2. Civil

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. Robo taxi

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. Ride hail

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

5.5. Ride Share

5.5.1. Key market trends, growth factors and opportunities
5.5.2. Market size and forecast, by region
5.5.3. Market analysis by country

5.6. Self-driving truck

5.6.1. Key market trends, growth factors and opportunities
5.6.2. Market size and forecast, by region
5.6.3. Market analysis by country

5.7. Self-driving bus

5.7.1. Key market trends, growth factors and opportunities
5.7.2. Market size and forecast, by region
5.7.3. Market analysis by country

Chapter: 6: AUTONOMOUS VEHICLE MARKET, BY COMPONENT

6.1. Overview
6.2. Hardware

6.2.1. Key market trends, growth factors and opportunities
6.2.2. Market size and forecast, by region
6.2.3. Autonomous hardware

6.2.3.1. Ultrasonic
6.2.3.2. Lidar
6.2.3.3. Radar
6.2.3.4. Vision system
6.2.3.5. GPS receiver
6.2.3.6. Others

6.2.4. Other hardware
6.2.5. Market analysis by country

6.3. Software

6.3.1. Key market trends, growth factors and opportunities
6.3.2. Market size and forecast, by region
6.3.3. Market analysis by country

6.4. Services

6.4.1. Key market trends, growth factors and opportunities
6.4.2. Market size and forecast, by region
6.4.3. Market analysis by country

Chapter: 7: AUTONOMOUS VEHICLE MARKET, BY REGION

7.1. Overview
7.2. North America

7.2.1. Drivers

7.2.1.1. Mobility as a service
7.2.1.2. Development of smart cities

7.2.2. Restraint

7.2.2.1. High cost

7.2.3. Key market trends, growth factors and opportunities
7.2.4. Market size and forecast, by level of automation
7.2.5. Market size and forecast, by application
7.2.6. Market size and forecast, by component
7.2.7. Market analysis by country

7.2.7.1. U.S.

7.2.7.1.1. Market size and forecast, by level of automation
7.2.7.1.2. Market size and forecast, by application
7.2.7.1.3. Market size and forecast, by component

7.2.7.2. Canada

7.2.7.2.1. Market size and forecast, by level of automation
7.2.7.2.2. Market size and forecast, by application
7.2.7.2.3. Market size and forecast, by component

7.2.7.3. Mexico

7.2.7.3.1. Market size and forecast, by level of automation
7.2.7.3.2. Market size and forecast, by application
7.2.7.3.3. Market size and forecast, by component

7.3. Europe

7.3.1. Drivers

7.3.1.1. Rise in demand for connected cars using internet of things (IOT).
7.3.1.2. Eliminates the accidents caused due to manual errors.

7.3.2. Restraint

7.3.2.1. Difficulty in operation during harsh weather conditions.

7.3.3. Key market trends, growth factors and opportunities
7.3.4. Market size and forecast, by level of automation
7.3.5. Market size and forecast, by application
7.3.6. Market size and forecast, by component
7.3.7. Market analysis by country

7.3.7.1. UK

7.3.7.1.1. Market size and forecast, by level of automation
7.3.7.1.2. Market size and forecast, by application
7.3.7.1.3. Market size and forecast, by component

7.3.7.2. Germany

7.3.7.2.1. Market size and forecast, by level of automation
7.3.7.2.2. Market size and forecast, by application
7.3.7.2.3. Market size and forecast, by component

7.3.7.3. France

7.3.7.3.1. Market size and forecast, by level of automation
7.3.7.3.2. Market size and forecast, by application
7.3.7.3.3. Market size and forecast, by component

7.3.7.4. Russia

7.3.7.4.1. Market size and forecast, by level of automation
7.3.7.4.2. Market size and forecast, by application
7.3.7.4.3. Market size and forecast, by component

7.3.7.5. Rest of Europe

7.3.7.5.1. Market size and forecast, by level of automation
7.3.7.5.2. Market size and forecast, by application
7.3.7.5.3. Market size and forecast, by component

7.4. Asia-Pacific

7.4.1. Drivers

7.4.1.1. Reduced CO2 emission from autonomous vehicle
7.4.1.2. Solves the problem of Traffic congestion

7.4.2. Restraint

7.4.2.1. The increase in threat from hackers in driving operation

7.4.3. Key market trends, growth factors and opportunities
7.4.4. Market size and forecast, by level of automation
7.4.5. Market size and forecast, by application
7.4.6. Market size and forecast, by component

7.4.6.1. China

7.4.6.1.1. Market size and forecast, by level of automation
7.4.6.1.2. Market size and forecast, by application
7.4.6.1.3. Market size and forecast, by component

7.4.6.2. India

7.4.6.2.1. Market size and forecast, by level of automation
7.4.6.2.2. Market size and forecast, by application
7.4.6.2.3. Market size and forecast, by component

7.4.6.3. Japan

7.4.6.3.1. Market size and forecast, by level of automation
7.4.6.3.2. Market size and forecast, by application
7.4.6.3.3. Market size and forecast, by component

7.4.6.4. Australia

7.4.6.4.1. Market size and forecast, by level of automation
7.4.6.4.2. Market size and forecast, by application
7.4.6.4.3. Market size and forecast, by component

7.4.6.5. Rest of Asia-Pacific

7.4.6.5.1. Market size and forecast, by level of automation
7.4.6.5.2. Market size and forecast, by application
7.4.6.5.3. Market size and forecast, by component

7.5. LAMEA

7.5.1. Drivers

7.5.1.1. Development in automobile sector
7.5.1.2. Increasing adoption of mobility solutions

7.5.2. Restraint

7.5.2.1. Lower consumer acceptance ratio

7.5.3. Key market trends, growth factors and opportunities
7.5.4. Market size and forecast, by level of automation
7.5.5. Market size and forecast, by application
7.5.6. Market size and forecast, by component

7.5.6.1. Latin America

7.5.6.1.1. Market size and forecast, by level of automation
7.5.6.1.2. Market size and forecast, by application
7.5.6.1.3. Market size and forecast, by component

7.5.6.2. Middle East

7.5.6.2.1. Market size and forecast, by level of automation
7.5.6.2.2. Market size and forecast, by application
7.5.6.2.3. Market size and forecast, by component

7.5.6.3. Africa

7.5.6.3.1. Market size and forecast, by level of automation
7.5.6.3.2. Market size and forecast, by application
7.5.6.3.3. Market size and forecast, by component

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Allied Market Research (AMR) is a full-service market research and business-consulting wing of Allied Analytics LLP based in Portland, Oregon. Allied Market Research provides global enterprises as well as medium and small businesses with unmatched quality of "Market Research Reports" and "Business Intelligence Solutions.” AMR has a targeted view to provide business insights and consulting to assist its clients to make strategic business decisions and achieve sustainable growth in their respective market domain.

We are in professional corporate relations with various companies and this helps us in digging out market data that helps us generate accurate research data tables and confirms utmost accuracy in our market forecasting. Each and every data presented in the reports published by us is extracted through primary interviews with top officials from leading companies of domain concerned. Our secondary data procurement methodology includes deep online and offline research and discussion with knowledgeable professionals and analysts in the industry.

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