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Self-Driving Car Market Research Report 2023

Self-Driving Car Market Size By Type (Fully Autonomous, Semi-Autonomous), Vehicle Type (Passenger Cars, Commercial Vehicles), Application (Transportation, Defense), Electric Vehicle (BEV, HEV, PHEV, FCEV), Component (Camera Unit, Lidar, Radar Sensor, Ultrasonic Sensor, Infrared Sensor), Level Of Autonomy (L1, L2, L3, L4, L5), Region- Global Market Analysis And Forecast, 2023- 2030

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Report ID: 13

Categories: Automotive

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Summary TOC Segmentation Methodology

Global Self-Driving Car Market Synopsis

The Global Self-Driving Car Market size is expected to grow from USD 26270 Million in 2023 to USD 65330 Million by 2030, at a CAGR of 13.90% during the forecast period (2023-2030).

A self-driving car, also known as an autonomous car, driverless car, or robotic car (robo-car), is a car that is capable of traveling without human input and has witnessed increasing demand from Automotive and other industries globally.

  • An autonomous car is a vehicle capable of sensing its environment and operating without human involvement. A human passenger is not required to take control of the vehicle at any time, nor is a human passenger required to be present in the vehicle at all. An autonomous car can go anywhere a traditional car goes and do everything that an experienced human driver does.
  • Self-driving cars use sensors to perceive their surroundings, such as optical and thermographic cameras, radar, lidar, ultrasound/sonar, GPS, odometry, and inertial measurement units. Control systems interpret sensory information to create a three-dimensional model of the vehicle's surroundings. Based on the model, the car then identifies an appropriate navigation path and strategies for managing traffic controls (stop signs, etc.) and obstacles.
  • Rapid Improvement in the Sensor -Processing technologies, high-definition mapping, adaptive algorithms, and the deployment of infrastructure-to-vehicles and vehicle-to-vehicle communication technologies are encouraging several companies to expand their production capabilities and take vehicle automation to the next level.

Top Key Players Involved Are:

"Waymo LLC (USA), Tesla (USA), General Motors (USA), Ford (USA), BMW (Germany), Volkswagen (Germany), Mercedes-Benz (Germany), Audi (Germany), Toyota (Japan), Honda (Japan), Nissan (Japan), Volvo (Sweden), Hyundai (South Korea), Kia Motors (South Korea), Baidu (China), Uber (USA), Lyft (USA), Aptiv (Ireland), Nvidia (USA), Intel (USA), Mobileye (Israel), Continental (Germany), ZF Friedrichshafen AG (Germany), Bosch (Germany), Magna International (Canada), and Other Major Players".

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Global Self-Driving Car Market Trend Analysis

Technological Advancement Rise the Self-Driving Car Market

  • Self-driving cars rely on a variety of sensors, including cameras, radar, and lidar, to perceive their environment. Advances in sensor technology are making it possible for self-driving cars to accurately detect and interpret their surroundings, which improves their ability to make driving decisions in real time.
  • Furthermore, Self-driving cars use machine learning algorithms and artificial intelligence to process data from their sensors and make driving decisions. As these technologies continue to improve, self-driving cars are becoming more reliable and safer. Self-driving cars are often equipped with advanced connectivity features that allow them to communicate with other vehicles and infrastructure, such as traffic lights and road signs.
  • Additionally, the connectivity can help improve safety and efficiency on the road. The software that runs self-driving cars is constantly being updated and improved. This includes updates to the algorithms that make driving decisions, as well as improvements to the user interface and other software features. As self-driving cars become more connected and rely more on software, cybersecurity is becoming increasingly important. Advances in cybersecurity technology are helping to ensure that self-driving cars are secure and protected from cyberattacks.
  • Overall, technological advancements are helping to drive the self-driving car market by improving the safety, reliability, and efficiency of these vehicles. As these technologies continue to evolve, we can expect to see further growth and innovation in this market.

Opportunities in The Logistic Companies

  • Logistics companies can use self-driving vehicles for delivery services, reducing the need for human drivers and increasing delivery speed and accuracy Logistics companies can also use self-driving trucks for transportation services, reducing labor costs and improving safety and efficiency on the roads. Logistics companies can use self-driving trucks to reduce the cost and time of shipping goods, particularly over long distances.
  • Self-driving vehicles can also help logistics companies to manage their fleets more efficiently, optimizing routes, reducing fuel consumption, and minimizing vehicle downtime. Self-driving vehicles can be particularly useful for last-mile delivery, which is often the most costly and time-consuming part of the delivery process. Logistics companies can also customize self-driving vehicles to meet their specific needs and requirements, such as modifying the size or cargo capacity of the vehicle.
  • Overall, logistics companies have significant opportunities in the self-driving car market and can leverage this technology to increase efficiency, reduce costs, and improve safety in the logistics industry. As the market for self-driving cars continues to grow, logistics companies can expect to see further advancements in this technology, which will drive further innovation and growth in the industry.

Segmentation Analysis of The Global Self-Driving Car Market

The Global Self-Driving Car Market Segments Cover the Type, Application, Electric Vehicle, Component, And Level of Autonomy. By Type, The Semi-Autonomous Segment Is Anticipated to Dominate the Market Over the Forecast Period.

  • Semi-autonomous vehicles are more affordable and easier to implement. Regulations and laws governing autonomous vehicles are still evolving, making it difficult for fully autonomous vehicles to operate in many areas. Semi-autonomous vehicles, which require some level of human control, face fewer regulatory barriers.
  • Semi-autonomous vehicles, which still require human intervention, provide an extra layer of safety and reassurance to both passengers and regulators Many people are still hesitant about the idea of fully autonomous vehicles and prefer to have some level of control over their vehicle. Semi-autonomous vehicles provide a compromise that allows drivers to retain some control while still benefiting from the safety features and convenience of autonomous driving.
  • Overall, the semi-autonomous segment is currently dominant in the self-driving car market because it offers a practical and affordable solution to many of the challenges facing the autonomous driving industry. As technology improves and regulations evolve, fully autonomous vehicles may become more widespread in the future.

Regional Analysis of The Self-Driving Car Market

Asia Pacific is Expected to Dominate the Market Over the Forecast Period

  • The Asia Pacific region has some of the highest population densities in the world, making it an attractive market for self-driving cars, which can help to reduce congestion on the roads. Governments in the Asia Pacific region have been proactive in supporting the development and deployment of self-driving cars, providing funding, regulatory frameworks, and other incentives to promote innovation in this field.
  • The Asia Pacific region is home to some of the world's leading technology companies, with a strong focus on innovation and R&D. This has led to significant advancements in self-driving car technology, with many of the leading self-driving car companies based in the region. The Asia Pacific region has a rapidly growing middle class, with rising disposable incomes and increasing demand for luxury goods and services, including self-driving cars.
  • Many cities in the Asia Pacific region are experiencing rapid urbanization, which is putting pressure on existing transportation systems. Self-driving cars can help to alleviate this pressure by providing a more efficient and convenient mode of transportation.
  • In Conclusion, the Asia Pacific region has many of the key factors necessary for the growth and development of the self-driving car market. As such, we can expect to see continued investment and innovation in this field in the coming years, with the region emerging as a dominant player in this market.

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                                                                                                                                                                                                                                                         Source: Statista

In the above graph, the increase in the production of Motor Vehicles in the APAC region is more as compared to other countries of the different regions. Vehicle production in China is more followed by the U.S., Japan, India, South Korea, and more. As the production of Motor vehicles increases so as to increase in the Self- Driving Car Market in the Asia Pacific Region. The leading countries are China, Japan, and India from the Asia Pacific Region. So, increasing the production of the motor vehicle increases the production of the Self-Driving Car Market in the APAC Region.

 Covid-19 Impact Analysis on Self- Driving Car Market

  • The pandemic has led to a significant increase in demand for contactless delivery services, which has driven up demand for self-driving cars and other autonomous delivery vehicles. The pandemic has also led to an increased focus on safety and hygiene in the transportation industry, which has made self-driving cars and other autonomous vehicles more attractive, as they can reduce the risk of infection by eliminating the need for human drivers.
  • The pandemic has caused significant disruptions to global supply chains, which has impacted the development and production of self-driving cars and related technology. The economic uncertainty caused by the pandemic has led to a reduction in investment in the self-driving car market, with many companies scaling back or delaying their plans for autonomous vehicle development and deployment. The pandemic has also led to delays in regulatory approvals for self-driving cars, as governments have had to focus their resources on managing the public health crisis.
  • Overall, the COVID-19 pandemic has had a mixed impact on the self-driving car market, with both positive and negative effects. While the pandemic has presented some significant challenges for the industry, it has also highlighted the potential benefits of autonomous vehicles, particularly in the areas of safety and contactless delivery. As such, It can expect to see continued investment and innovation in this field, as the industry seeks to address the challenges posed by the pandemic and capitalize on the opportunities presented by the changing transportation landscape.

Top Key Players Covered In The Self-Driving Car Market

  • Waymo LLC (USA)
  • Tesla (USA)
  • General Motors (USA)
  • Ford (USA)
  • BMW (Germany)
  • Volkswagen (Germany)
  • Mercedes-Benz (Germany)
  • Audi (Germany)
  • Toyota (Japan)
  • Honda (Japan)
  • Nissan (Japan)
  • Volvo (Sweden)
  • Hyundai (South Korea)
  • Kia Motors (South Korea)
  • Baidu (China)
  • Uber (USA)
  • Lyft (USA)
  • Aptiv (Ireland)
  • Nvidia (USA)
  • Intel (USA)
  • Mobileye (Israel)
  • Continental (Germany)
  • ZF Friedrichshafen AG (Germany)
  • Bosch (Germany)
  • Magna International (Canada)

Key Industry Developments In The Self-Driving Car Market

In January 2023, TCS Evolving Tech for EVs, Self-Driving Cars. Tata Consultancy Services has trained and tested its cloud-based self-driving vehicle platform using over 300,000 kilometers of real-time vehicle data across different geographies to help OEMs power their next-generation vehicles onto roads. The Tata Group has numerous companies working in the technology space in electric vehicles as well as in the autonomous space.

In January 2023, Mercedes beats Tesla in self-driving, becoming the first certified Level-3 autonomous car company in the U.S. The race is on for auto-manufacturing companies to become the first ones to develop and implement a high level of autonomy in their cars. Mercedes seems to have won a crucial race against Tesla recently by becoming the first certified Level-3 autonomous car company in the United States.

Global Self-Driving Car Market

Base Year:

2022

Forecast Period:

2023-2030

Historical Data:

2016-2022

Market Size in 2023:

USD 26270 Mn.

Forecast Period 2022-30 CAGR:

13.90%

Market Size in 2030:

USD 65330 Mn.

Segments Covered:

By Type

  • Fully Autonomous
  • Semi-Autonomous

By Vehicle Type

  • Passenger Cars
  • Commercial Vehicles

By Application

  • Transportation
  • Defense

By Electric Vehicles  

  • BEV
  • HEV
  • PHEV
  • FCEV

By Component

  • Camera Unit
  • Lidar
  • Radar Sensor
  • Ultrasonic Sensor
  • Infrared Sensor

By Level of Autonomy

  • L1
  • L2
  • L3
  • L4
  • L5

By Region

  • North America (US, Canada, Mexico)
  • Eastern Europe (Bulgaria, The Czech Republic, Hungary, Poland, Romania, Rest of Eastern Europe)
  • Western Europe (Germany, UK, France, Netherlands, Italy, Russia, Spain, Rest of Western Europe)
  • Asia Pacific (China, India, Japan, South Korea, Malaysia, Thailand, Vietnam, The Philippines, Australia, New Zealand, Rest of APAC)
  • Middle East & Africa (Turkey, Bahrain, Kuwait, Saudi Arabia, Qatar, UAE, Israel, South Africa)
  • South America (Brazil, Argentina, Rest of SA)

Frequently Asked Questions

What would be the forecast period in the Global Self-Driving Car Market research report?

The forecast period in the Self-Driving Car Market research report is 2023-2030.

Who are the key players in Global Self-Driving Car Market?

Waymo LLC (USA), Tesla (USA), General Motors (USA), Ford (USA), BMW (Germany), Volkswagen (Germany), Mercedes-Benz (Germany), Audi (Germany), Toyota (Japan), Honda (Japan), Nissan (Japan), Volvo (Sweden), Hyundai (South Korea), Kia Motors (South Korea), Baidu (China), Uber (USA), Lyft (USA), Aptiv (Ireland), Nvidia (USA), Intel (USA), Mobileye (Israel), Continental (Germany), ZF Friedrichshafen AG (Germany), Bosch (Germany), Magna International (Canada).

What are the segments of the Global Self-Driving Car market?

The Global Self-Driving Car Market is segmented By Type, Vehicle Type, Application, Electric Vehicle, Component, and Level of Autonomy. By Product Type, the market is categorized into Fully Autonomous and Semi-Autonomous. By Vehicle Type, the market is categorized into Passenger Cars, Commercial Vehicles. By Application, the market is categorized into Transportation and Defense. By Electric Vehicles, the market is categorized into BEV, HEV, PHEV, and FCEV. By Components, the market is categorized into Camera Units, Lidar, Radar Sensors, Ultrasonic sensors, and Infrared sensors. By Level of Autonomy, the Market is Categorized into L1, L2, L3, L4, and L5. By regions, it is analyzed across North America (US, Canada, Mexico), Eastern Europe (Bulgaria, The Czech Republic, Hungary, Poland, Romania, Rest of Eastern Europe), Western Europe (Germany, UK, France, Netherlands, Italy, Russia, Spain, Rest of Western Europe), Asia Pacific (China, India, Japan, South Korea, Malaysia, Thailand, Vietnam, The Philippines, Australia, New Zealand, Rest of APAC), Middle East & Africa (Turkey, Bahrain, Kuwait, Saudi Arabia, Qatar, UAE, Israel, South Africa), South America (Brazil, Argentina, Rest of SA).

What is the Global Self-Driving Car Market?

A self-driving car, also known as an autonomous car, driverless car, or robotic car (robo-car), is a car that is capable of traveling without human input and has witnessed increasing demand from Automotive and other industries globally. An autonomous car is a vehicle capable of sensing its environment and operating without human involvement. A human passenger is not required to take control of the vehicle at any time, nor is a human passenger required to be present in the vehicle at all. An autonomous car can go anywhere a traditional car goes and do everything that an experienced human driver does. Self-driving cars use sensors to perceive their surroundings, such as optical and thermographic cameras, radar, lidar, ultrasound/sonar, GPS, odometry, and inertial measurement units. Control systems interpret sensory information to create a three-dimensional model of the vehicle's surroundings. Based on the model, the car then identifies an appropriate navigation path and strategies for managing traffic controls (stop signs, etc.) and obstacles.

How big is the Global Self-Driving Car Market?

The Global Self-Driving Car Market size is expected to grow from USD 26270 Million in 2023 to USD 65330 Million by 2030, at a CAGR of 13.90% during the forecast period (2023-2030).

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