Report Id: SNS/AUTO/1213 | May 2022 | Region: Global | 120 Pages
Report Scope & Overview:
Autonomous cars Market Size was valued at USD 2.46 billion in 2022 and is expected to reach USD 22.75 billion by 2030 and grow at a CAGR of 32% over the forecast period 2023-2030.
An autonomous vehicle is one that can drive itself without the assistance of a human. Depending on the extent of automation, many types of self-driving or autonomous vehicles are developed. Level 0 (completely manual) through Level 4 (totally automated) (fully autonomous). Computer vision functions, as well as actuators and complicated sensors, are used to generate a constantly updated map of their surroundings, detecting the presence of nearby vehicles and pedestrians, detecting uneven surfaces on road sidewalks, and measuring distances.
Although autonomous vehicles can be linked to external devices like smart traffic lights and highways, many are yet conceptual. Self-driving automobiles are also known as robotic or driverless cars. Although autonomous vehicle technology has progressed, it is still a niche means of transportation with numerous barriers to adoption. Some technology, in particular, are prohibitively expensive to incorporate into a self-driving automobile, making the total cost prohibitively high to make public. Radar and Lidar work for prototypes, however, if mass production is attained, frequency and signals may interfere.
Increasing research and development activity for self-driving vehicles.
Auto-tech investment is increasing.
Government efforts that help.
Adoption of the ADAS platform on a large scale.
LiDAR technology advancement.
The large first investment may limit expansion.
The considerable risk of hackers gaining unauthorized access to system data and vehicle functions could stifle market expansion.
These cars are being designed to reduce human-caused accidents, reduce traffic congestion, and provide hassle-free transportation.
The rise of ride-sharing will be aided by the development of driverless vehicles.
Autonomous vehicles are expensive.
Safety and security.
Infrastructure deficits in developing nations.
The existing autonomous car regulations have a significant gap.
IMPACT OF COVID-19:
The COVID-19 dilemma is causing market uncertainty by reducing logistics services, stifling business growth, and instilling fear in customer segments. Governments in many regions declared absolute lockdown and temporarily shut down industries, resulting in border restrictions that hampered transportation and logistics services movement. Following the COVID-19 health crisis, the global corporate perspective has shifted radically. Furthermore, market operators' overall service activities have decreased as a result of a sharp drop in demand for cash to prevent contamination risks. These variables could have a good impact on the autonomous car market, boosting economic activity across the board.
KEY MARKET PLAYERS:
Audi AG, Google LLC, Honda Motor Co., Ltd.; Nissan Motor Company; Tesla; Toyota Motor Corporation; Uber Technologies, BMW AG, Daimler AG, Ford Motor Company, General Motors, Nissan Motors Co., Ltd., Tesla, Inc., Robert Bosch GMBH, Aptiv, Continental AG, Denso Corporation, Honda Motor Co., Ltd., Toyota Motor Corporation, and Volkswagen AG are some of the affluent competitors with significant market share in the autonomous cars market.
Market, By Type:
The market is divided into two types: fully autonomous vehicles and semi-autonomous vehicles. Because it comprises several ADAS components, the semi-autonomous Vehicles sector has a considerable portion of the market. Because of government guidelines about implementing driver assistance systems, automatic emergency braking is the fastest-growing sub-segment in the Autonomous Cars Market.
Market, By Level of Autonomy:
According to the Autonomy Level, the global market is divided into Level 1, Level 2, Level 3, and Level 4. In the autonomous vehicle sector, Level-1 cars account for more than 90% of the market. The growing concern about automobile safety around the world is driving this market. The government in each region is always working to improve vehicle safety by requiring the adoption of Advanced Driving Assistance Systems (ADAS) in automobiles.
Market, by Vehicle Type:
The market is divided into two types of vehicles: passenger cars and commercial vehicles. Because of increased urbanization, strong demographic development, improved living conditions, and increasing purchasing power, the passenger automobile category occupies a major proportion of the market. Commercial vehicles, on the other hand, are the market's fastest-growing category.
By Autonomy Level:
By Vehicle Type:
North America, Europe, Asia Pacific, and the Rest of the World make up the Global Autonomous Cars Market. Because of the growing number of premium autonomous vehicles and safety concerns, the North American region has a significant portion of the industry. Whereas the Asia Pacific is the fastest-growing area in the industry, owing to changing consumer tastes and increased vehicle usage, which is chevalier the market growth of autonomous cars.
Furthermore, the region's rising demand for semi-autonomous vehicles, particularly in the United States and Canada, is likely to boost market growth. Increased investment from technical innovators is also predicted to catapult the region to the forefront of autonomous vehicle adoption, ahead of Europe and the Asia Pacific.
Rest of Europe
Rest of Asia-Pacific
The Middle East & Africa
Rest of Middle East & Africa
Rest of Latin America
|Market Size in 2022||US$ 2.46 Billion|
Market Size by 2030
|US$ 22.75 Billion|
|CAGR||CAGR of 32% From 2023 to 2030|
|Report Scope & Coverage||Market Size, Segments Analysis, Competitive Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook|
|Key Segments||• by Type (Semi-Autonomous cars, Fully-Autonomous cars),
• by Autonomy Level (Level 1, Level 2, Level 3, Level 4)
• by Vehicle Type (Passenger cars, Commercial vehicles)
|Regional Analysis/Coverage||North America (USA, Canada, Mexico), Europe
(Germany, UK, France, Italy, Spain, Netherlands,
Rest of Europe), Asia-Pacific (Japan, South Korea,
China, India, Australia, Rest of Asia-Pacific), The
Middle East & Africa (Israel, UAE, South Africa,
Rest of Middle East & Africa), Latin America (Brazil, Argentina, Rest of Latin America)
|Company Profiles||Audi AG, Google LLC, Honda Motor Co., Ltd.; Nissan Motor Company; Tesla; Toyota Motor Corporation; Uber Technologies, BMW AG, Daimler AG, Ford Motor Company, General Motors, Nissan Motors Co., Ltd., Tesla, Inc., Robert Bosch GMBH, Aptiv, Continental AG, Denso Corporation, Honda Motor Co., Ltd., Toyota Motor Corporation, and Volkswagen AG|
|Key Drivers||•Increasing research and development activity for self-driving vehicles.
•Auto-tech investment is increasing.
|RESTRAINTS||•The large first investment may limit expansion.
•The considerable risk of hackers gaining unauthorized access to system data and vehicle functions could stifle market expansion.
Frequently Asked Questions (FAQ) :
Table of Contents
1.1 Market Definition
1.3 Research Assumptions
2. Research Methodology
3. Market Dynamics
4. Impact Analysis
4.1 COVID-19 Impact Analysis
4.2 Impact of Ukraine- Russia war
4.3 Impact of ongoing Recession
4.3.2 Impact on major economies
220.127.116.11 United Kingdom
18.104.22.168 South Korea
22.214.171.124 Rest of the World
5. Value Chain Analysis
6. Porter’s 5 forces model
7. PEST Analysis
8. Global Autonomous cars Market Segmentation, by Type
8.1 Semi-Autonomous cars
8.2 Fully-Autonomous cars
9. Global Autonomous cars Market Segmentation, by Autonomy Level
9.1 Level 1
9.2 Level 2
9.3 Level 3
9.4 Level 4
10. Global Autonomous cars Market Segmentation, by Vehicle Type
10.1 Passenger cars
10.2 Commercial vehicles
11. Regional Analysis
11.2 North America
11.2.1 the USA
11.3.2 the UK
11.3.6 The Netherlands
11.3.7 Rest of Europe
11.4.2 South Korea
11.4.6 Rest of Asia-Pacific
11.5 The Middle East & Africa
11.5.3 South Africa
11.6 Latin America
11.6.3 Rest of Latin America
12. Company Profiles
12.1 Google LLC,
12.1.2 Products/ Services Offered
12.1.3 SWOT Analysis
12.1.4 The SNS view
12.2 Audi AG
12.3 Honda Motor Co., Ltd.
12.4 Nissan Motor Company
12.5 Toyota Motor Corporation
12.6 Uber Technologies
12.7 BMW AG
12.8 Daimler AG
12.9 Ford Motor Company
12.10 General Motors
12.11 Nissan Motors Co., Ltd.
12.12 Tesla, Inc.
12.13 Toyota Motor Corporation
12.14 Volkswagen AG.
12.15 Robert Bosch GMBH
12.17 Continental AG
12.18 Denso Corporation
13. Competitive Landscape
13.1 Competitive Benchmarking
13.2 Market Share analysis
13.3 Recent Developments
An accurate research report requires proper strategizing as well as implementation. There are multiple factors involved in the completion of a good and accurate research report and selecting the best methodology to complete the research is the toughest part. Since the research reports, we provide play a crucial role in any company’s decision-making process, therefore we at SNS Insider always believe that we should choose the best method which gives us results closer to reality. This allows us to reach a stage wherein we can provide our clients best and most accurate investment to output ratio.
Each report that we prepare takes a timeframe of 350-400 business hours for production. Starting from the selection of titles through a couple of in-depth brainstorming sessions to the final QC process before uploading our titles on our website we dedicate around 350 working hours. The titles are selected based on their current market cap and the foreseen CAGR and growth.
The 5 steps process:
Step 1: Secondary Research:
Secondary Research or Desk Research as the name suggests is a research process wherein, we collect data through readily available information. In this process, we use various paid and unpaid databases to which our team has access and gather data through the same. This includes examining listed companies’ annual reports, Journals, SEC filling, etc. Apart from this, our team has access to various associations across the globe across different industries. Lastly, we have exchange relationships with various universities as well as individual libraries.
Step 2: Primary Research
When we talk about primary research, it is a type of study in which the researchers collect relevant data samples directly, rather than relying on previously collected data. This type of research is focused on gaining content-specific facts that can be sued to solve specific problems. Since the collected data is fresh and first-hand therefore it makes the study more accurate and genuine.
We at SNS Insider have divided Primary Research into 2 parts.
Part 1 wherein we interview the KOLs of major players as well as the upcoming ones across various geographic regions. This allows us to have their view over the market scenario and acts as an important tool to come closer to accurate market numbers. As many as 45 paid and unpaid primary interviews are taken from both the demand and supply sides of the industry to make sure we land an accurate judgment and analysis of the market.
This step involves the triangulation of data wherein our team analyses the interview transcripts, online survey responses, and observation of on-field participants. The below-mentioned chart should give a better understanding of part 1 of the primary interview.
Part 2: In this part of the primary research the data collected via secondary research and part 1 of the primary research is validated with the interviews with individual consultants and subject matter experts.
Consultants are those set of people who have at least 12 years of experience and expertise within the industry whereas Subject Matter Experts are those with at least 15 years of experience behind their back within the same space. The data with the help of two main processes i.e., FGDs (Focused Group Discussions) and IDs (Individual Discussions). This gives us a 3rd party nonbiased primary view of the market scenario making it a more dependable one while collation of the data pointers.
Step 3: Data Bank Validation
Once all the information is collected via primary and secondary sources, we run that information for data validation. At our intelligence center, our research heads track a lot of information related to the market which includes the quarterly reports, the daily stock prices, and other relevant information. Our data bank server gets updated every fortnight and that is how the information which we collected using our primary and secondary information is revalidated in real-time.
Step 4: QA/QC Process
After all the data collection and validation our team does a final level of quality check and quality assurance to get rid of any unwanted or undesired mistakes. This might include but is not limited to getting rid of the many typos, duplication of numbers, or missing any important information. The people involved in this process include technical content writers, research heads, and graphics people. Once this process is completed the title gets uploaded on our platform for our clients to read it.
Step 5: Final QC/QA Process:
This is the last process and comes when the client has ordered the study. In this process a final QA/QC is done before the study is emailed to the client. Since we believe in giving our clients a good experience of our research studies, therefore, to make sure that we do not lack at our end in any way humanly possible we do a final round of quality check and then dispatch the study to the client.