Market Overview:
The global market for automatic driving vehicles is expected to grow at a CAGR of XX% during the forecast period from 2018 to 2030. The market growth can be attributed to the increasing demand for fuel-efficient and environment-friendly vehicles. Automatic driving vehicles are available in two types: fuel vehicle and new energy vehicle. The passenger vehicles segment is expected to account for the majority of the market share during the forecast period, followed by commercial vehicles. Regionally, North America is expected to lead the market in terms of revenue generation, followed by Europe and Asia Pacific.
Product Definition:
An automatically driving vehicle (ADV) is a machine that can guide itself along a set of predefined paths, usually using sensors and GPS receivers. ADV technology has the potential to improve traffic flow, reduce emissions, and increase safety on roads and highways. In addition, automated vehicles could improve access to transportation for people with disabilities or reduced mobility.
Fuel Vehicle:
The fuel vehicle is a device that uses chemical energy stored in liquid, gaseous or solid form to convert the received energy into motion. Fuel vehicles include ships, rail cars, trucks and buses. The most common type of fuel vehicle used for transportation is the truck which can be found on every street corner. However; there are strict regulations laid down for their use as they contribute to air pollution more than any other source of transportation apart from bicycles and pedestrians.
New Energy Vehicle:
New energy vehicles (NEV) are battery powered vehicles that run on rechargeable battery packs and have a significantly higher power-to-weight ratio than conventional fuel cell or electric batteries. New energy vehicle is driven by electricity instead of fossil fuels, which reduces the harmful emissions into the air. The driving force behind new energy vehicles market growth is increasing government initiatives to reduce carbon footprint in the environment along with growing awareness among consumers regarding greenhouse gas emissions from conventional fuel sources such as gasoline and diesel.
Application Insights:
The passenger vehicles segment dominated the market in 2017 and is expected to witness significant growth over the forecast period. The growing need for improving road safety and convenience, along with rising disposable income of consumers, is anticipated to drive demand for automatically driving vehicles in passenger cars over the forecast period.
Automatically driven commercial vehicles are poised to witness considerable growth over the next eight years owing to increasing adoption of these types of vehicle across logistics companies and warehouse operators. These companies are increasingly deploying these types of trucks as they can maneuver easily through narrow roads and complicated traffic situations due to active safety features installed in them such as lane departure warning systems, collision avoidance systems etc. Such trends are likely to positively influence industry expansion throughout this period.
Regional Analysis:
North America is expected to dominate the global ADVs market over the forecast period. The region accounted for a share of more than 35% in 2017 owing to increasing demand from U.S., which is one of the most developed countries in terms of ADVs technology and infrastructure. Moreover, presence of key players such as Tesla, Inc.; Google LLC; and Apple Inc.
Asia Pacific is anticipated to be one of the fastest-growing regions with CAGR exceeding 10% during 2018 - 2030 due to increasing government initiatives towards development.
Growth Factors:
- Increasing demand for fuel-efficient and environment-friendly vehicles
- Government initiatives for the promotion of electric and hybrid vehicles
- Development of advanced technologies such as autonomous driving, connected cars, and artificial intelligence
- Growing demand from the commercial sector for fleet management and logistics services
- Rising consumer preference for convenience and comfort
Scope Of The Report
Report Attributes
Report Details
Report Title
Automatically Driving Vehicles Market Research Report
By Type
Fuel Vehicle, New Energy Vehicle
By Application
Passenger Vehicles, Commercial Vehicles
By Companies
Alphabet-Waymo, Google, FCA, NXP Semiconductors, General Motors, Uber, Apple, Baidu, Ford, Intel, Argo.ai, CB Insights, Volkswagen, Toyota, Benz, Tesla, Audi
Regions Covered
North America, Europe, APAC, Latin America, MEA
Base Year
2021
Historical Year
2019 to 2020 (Data from 2010 can be provided as per availability)
Forecast Year
2030
Number of Pages
192
Number of Tables & Figures
135
Customization Available
Yes, the report can be customized as per your need.
Global Automatically Driving Vehicles Market Report Segments:
The global Automatically Driving Vehicles market is segmented on the basis of:
Types
Fuel Vehicle, New Energy Vehicle
The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.
Applications
Passenger Vehicles, Commercial Vehicles
The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.
Some of the companies that are profiled in this report are:
- Alphabet-Waymo
- Google
- FCA
- NXP Semiconductors
- General Motors
- Uber
- Apple
- Baidu
- Ford
- Intel
- Argo.ai
- CB Insights
- Volkswagen
- Toyota
- Benz
- Tesla
- Audi
Highlights of The Automatically Driving Vehicles Market Report:
- The market structure and projections for the coming years.
- Drivers, restraints, opportunities, and current trends of market.
- Historical data and forecast.
- Estimations for the forecast period 2030.
- Developments and trends in the market.
- By Type:
- Fuel Vehicle
- New Energy Vehicle
- By Application:
- Passenger Vehicles
- Commercial Vehicles
- Market scenario by region, sub-region, and country.
- Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
- Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
- Government Policies, Macro & Micro economic factors are also included in the report.
We have studied the Automatically Driving Vehicles Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.
Regional Analysis
- North America
- Europe
- Asia Pacific
- Middle East & Africa
- Latin America
Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.
The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.
How you may use our products:
- Correctly Positioning New Products
- Market Entry Strategies
- Business Expansion Strategies
- Consumer Insights
- Understanding Competition Scenario
- Product & Brand Management
- Channel & Customer Management
- Identifying Appropriate Advertising Appeals
8 Reasons to Buy This Report
- Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
- Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
- Implemented Robust Methodology to Prepare the Report
- Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
- Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
- Provides Information About the Top-winning Strategies Implemented by Industry Players.
- In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
- Customization of the Report Available
Frequently Asked Questions?
Automatically driving vehicles are self-driving cars that can operate without a driver.
Some of the major companies in the automatically driving vehicles market are Alphabet-Waymo, Google, FCA, NXP Semiconductors, General Motors, Uber, Apple, Baidu, Ford, Intel, Argo.ai, CB Insights, Volkswagen, Toyota, Benz, Tesla, Audi.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Automatically Driving Vehicles Market Overview
4.1 Introduction
4.1.1 Market Taxonomy
4.1.2 Market Definition
4.1.3 Macro-Economic Factors Impacting the Market Growth
4.2 Automatically Driving Vehicles Market Dynamics
4.2.1 Market Drivers
4.2.2 Market Restraints
4.2.3 Market Opportunity
4.3 Automatically Driving Vehicles Market - Supply Chain Analysis
4.3.1 List of Key Suppliers
4.3.2 List of Key Distributors
4.3.3 List of Key Consumers
4.4 Key Forces Shaping the Automatically Driving Vehicles Market
4.4.1 Bargaining Power of Suppliers
4.4.2 Bargaining Power of Buyers
4.4.3 Threat of Substitution
4.4.4 Threat of New Entrants
4.4.5 Competitive Rivalry
4.5 Global Automatically Driving Vehicles Market Size & Forecast, 2018-2028
4.5.1 Automatically Driving Vehicles Market Size and Y-o-Y Growth
4.5.2 Automatically Driving Vehicles Market Absolute $ Opportunity
Chapter 5 Global Automatically Driving Vehicles Market Analysis and Forecast by Type
5.1 Introduction
5.1.1 Key Market Trends & Growth Opportunities by Type
5.1.2 Basis Point Share (BPS) Analysis by Type
5.1.3 Absolute $ Opportunity Assessment by Type
5.2 Automatically Driving Vehicles Market Size Forecast by Type
5.2.1 Fuel Vehicle
5.2.2 New Energy Vehicle
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global Automatically Driving Vehicles Market Analysis and Forecast by Applications
6.1 Introduction
6.1.1 Key Market Trends & Growth Opportunities by Applications
6.1.2 Basis Point Share (BPS) Analysis by Applications
6.1.3 Absolute $ Opportunity Assessment by Applications
6.2 Automatically Driving Vehicles Market Size Forecast by Applications
6.2.1 Passenger Vehicles
6.2.2 Commercial Vehicles
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global Automatically Driving Vehicles Market Analysis and Forecast by Region
7.1 Introduction
7.1.1 Key Market Trends & Growth Opportunities by Region
7.1.2 Basis Point Share (BPS) Analysis by Region
7.1.3 Absolute $ Opportunity Assessment by Region
7.2 Automatically Driving Vehicles Market Size Forecast by Region
7.2.1 North America
7.2.2 Europe
7.2.3 Asia Pacific
7.2.4 Latin America
7.2.5 Middle East & Africa (MEA)
7.3 Market Attractiveness Analysis by Region
Chapter 8 Coronavirus Disease (COVID-19) Impact
8.1 Introduction
8.2 Current & Future Impact Analysis
8.3 Economic Impact Analysis
8.4 Government Policies
8.5 Investment Scenario
Chapter 9 North America Automatically Driving Vehicles Analysis and Forecast
9.1 Introduction
9.2 North America Automatically Driving Vehicles Market Size Forecast by Country
9.2.1 U.S.
9.2.2 Canada
9.3 Basis Point Share (BPS) Analysis by Country
9.4 Absolute $ Opportunity Assessment by Country
9.5 Market Attractiveness Analysis by Country
9.6 North America Automatically Driving Vehicles Market Size Forecast by Type
9.6.1 Fuel Vehicle
9.6.2 New Energy Vehicle
9.7 Basis Point Share (BPS) Analysis by Type
9.8 Absolute $ Opportunity Assessment by Type
9.9 Market Attractiveness Analysis by Type
9.10 North America Automatically Driving Vehicles Market Size Forecast by Applications
9.10.1 Passenger Vehicles
9.10.2 Commercial Vehicles
9.11 Basis Point Share (BPS) Analysis by Applications
9.12 Absolute $ Opportunity Assessment by Applications
9.13 Market Attractiveness Analysis by Applications
Chapter 10 Europe Automatically Driving Vehicles Analysis and Forecast
10.1 Introduction
10.2 Europe Automatically Driving Vehicles Market Size Forecast by Country
10.2.1 Germany
10.2.2 France
10.2.3 Italy
10.2.4 U.K.
10.2.5 Spain
10.2.6 Russia
10.2.7 Rest of Europe
10.3 Basis Point Share (BPS) Analysis by Country
10.4 Absolute $ Opportunity Assessment by Country
10.5 Market Attractiveness Analysis by Country
10.6 Europe Automatically Driving Vehicles Market Size Forecast by Type
10.6.1 Fuel Vehicle
10.6.2 New Energy Vehicle
10.7 Basis Point Share (BPS) Analysis by Type
10.8 Absolute $ Opportunity Assessment by Type
10.9 Market Attractiveness Analysis by Type
10.10 Europe Automatically Driving Vehicles Market Size Forecast by Applications
10.10.1 Passenger Vehicles
10.10.2 Commercial Vehicles
10.11 Basis Point Share (BPS) Analysis by Applications
10.12 Absolute $ Opportunity Assessment by Applications
10.13 Market Attractiveness Analysis by Applications
Chapter 11 Asia Pacific Automatically Driving Vehicles Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific Automatically Driving Vehicles Market Size Forecast by Country
11.2.1 China
11.2.2 Japan
11.2.3 South Korea
11.2.4 India
11.2.5 Australia
11.2.6 South East Asia (SEA)
11.2.7 Rest of Asia Pacific (APAC)
11.3 Basis Point Share (BPS) Analysis by Country
11.4 Absolute $ Opportunity Assessment by Country
11.5 Market Attractiveness Analysis by Country
11.6 Asia Pacific Automatically Driving Vehicles Market Size Forecast by Type
11.6.1 Fuel Vehicle
11.6.2 New Energy Vehicle
11.7 Basis Point Share (BPS) Analysis by Type
11.8 Absolute $ Opportunity Assessment by Type
11.9 Market Attractiveness Analysis by Type
11.10 Asia Pacific Automatically Driving Vehicles Market Size Forecast by Applications
11.10.1 Passenger Vehicles
11.10.2 Commercial Vehicles
11.11 Basis Point Share (BPS) Analysis by Applications
11.12 Absolute $ Opportunity Assessment by Applications
11.13 Market Attractiveness Analysis by Applications
Chapter 12 Latin America Automatically Driving Vehicles Analysis and Forecast
12.1 Introduction
12.2 Latin America Automatically Driving Vehicles Market Size Forecast by Country
12.2.1 Brazil
12.2.2 Mexico
12.2.3 Rest of Latin America (LATAM)
12.3 Basis Point Share (BPS) Analysis by Country
12.4 Absolute $ Opportunity Assessment by Country
12.5 Market Attractiveness Analysis by Country
12.6 Latin America Automatically Driving Vehicles Market Size Forecast by Type
12.6.1 Fuel Vehicle
12.6.2 New Energy Vehicle
12.7 Basis Point Share (BPS) Analysis by Type
12.8 Absolute $ Opportunity Assessment by Type
12.9 Market Attractiveness Analysis by Type
12.10 Latin America Automatically Driving Vehicles Market Size Forecast by Applications
12.10.1 Passenger Vehicles
12.10.2 Commercial Vehicles
12.11 Basis Point Share (BPS) Analysis by Applications
12.12 Absolute $ Opportunity Assessment by Applications
12.13 Market Attractiveness Analysis by Applications
Chapter 13 Middle East & Africa (MEA) Automatically Driving Vehicles Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) Automatically Driving Vehicles Market Size Forecast by Country
13.2.1 Saudi Arabia
13.2.2 South Africa
13.2.3 UAE
13.2.4 Rest of Middle East & Africa (MEA)
13.3 Basis Point Share (BPS) Analysis by Country
13.4 Absolute $ Opportunity Assessment by Country
13.5 Market Attractiveness Analysis by Country
13.6 Middle East & Africa (MEA) Automatically Driving Vehicles Market Size Forecast by Type
13.6.1 Fuel Vehicle
13.6.2 New Energy Vehicle
13.7 Basis Point Share (BPS) Analysis by Type
13.8 Absolute $ Opportunity Assessment by Type
13.9 Market Attractiveness Analysis by Type
13.10 Middle East & Africa (MEA) Automatically Driving Vehicles Market Size Forecast by Applications
13.10.1 Passenger Vehicles
13.10.2 Commercial Vehicles
13.11 Basis Point Share (BPS) Analysis by Applications
13.12 Absolute $ Opportunity Assessment by Applications
13.13 Market Attractiveness Analysis by Applications
Chapter 14 Competition Landscape
14.1 Automatically Driving Vehicles Market: Competitive Dashboard
14.2 Global Automatically Driving Vehicles Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 Alphabet-Waymo
14.3.2 Google
14.3.3 FCA
14.3.4 NXP Semiconductors
14.3.5 General Motors
14.3.6 Uber
14.3.7 Apple
14.3.8 Baidu
14.3.9 Ford
14.3.10 Intel
14.3.11 Argo.ai
14.3.12 CB Insights
14.3.13 Volkswagen
14.3.14 Toyota
14.3.15 Benz
14.3.16 Tesla
14.3.17 Audi
