Autonomous Cars Market By Component Type (CAMERA, LiDAR, Radar, and Ultrasonic Sensor), By Fuel Type (Internal Combustion Engine (ICE), By Hybrid Electric Vehicle (HEV), and By Battery Electric Vehicle (BEV)), By Application (Passenger Cars and Commercial Vehicles), and By Region - Trends, Analysis and Forecast till 2030

Autonomous Cars market accounted for USD 22.67 Billion in 2020 and is estimated to be USD 135.94 Billion by 2030 and is anticipated to register a CAGR of 19.8%.

A self-driving car, also known as an autonomous vehicle (AV or auto), driverless car, or robotic automobile (robo-car), is a vehicle that can sense its surroundings and drive safely with little or no human intervention. Radar, lidar, sonar, GPS, odometry, and inertial measurement units are among the sensors used by self-driving automobiles to sense their environment. Sensory data is interpreted by advanced control systems to determine acceptable navigation courses, as well as obstacles and necessary signage.

Sensors and cameras are the most important components of autonomous vehicles. Lidar acts as an eye for self-driving vehicles since it gives a 360-degree picture of the environment, allowing vehicles to travel safely on their own. Many autonomous vehicles use it to navigate their surrounds in real time. Its benefits include accurate depth perception, which allows LiDAR to determine the distance to an object to within a few centimetres, even at distances of up to 60 metres. It's also great for 3D mapping, which means returning cars can navigate the area more predictably, which is a big plus for most self-driving technology.

Lidar Technologies will drive the growth of the Market

Sensors and cameras are the most important components of autonomous vehicles. Lidar acts as an eye for self-driving vehicles since it gives a 360-degree picture of the environment, allowing vehicles to travel safely on their own. Many autonomous vehicles use it to navigate their surrounds in real time. Its benefits include accurate depth perception, which allows LiDAR to determine the distance to an object to within a few centimetres, even at distances of up to 60 metres. It's also great for 3D mapping, which means returning cars can navigate the area more predictably, which is a big plus for most self-driving technology.  

Rise in demand for connected cars using internet of things (IOT)

Car drivers can enhance their performance by receiving real-time feedback from high-speed in-memory processing systems embedded into linked cars, thanks to the Internet of Things. These built-in computers have functions such as data collection, analysis, and storage, which aid in decision-making. Autonomous and semi-autonomous vehicles are projected to benefit from the widespread deployment of linked cars.

On region the Global Autonomous Cars market is segmented based on type, level of automation, components, fuel type and region.

On the basis of Type, the Global Autonomous Cars market is segmented into Semi-autonomous Vehicles and Fully-autonomous Vehicles. Based on Level of Automation, the target market is segmented into Level 1, Level 2&3 & Autonomous Vehicles. Based on Components, the target market is segmented into AI, Radar, LIDAR, Camera and Ultrasonic Sensor. Based on Fuel Type, the target market is segmented into ICE, EV.

Regional Insights:                               

On region the Global Autonomous Cars market is segmented into North America, Europe, Asia Pacific, Latin America, and Middle East & Africa. During the forecast period, North America is expected to dominate the market. The region has been a pioneer in the field of autonomous vehicles due to factors such as strong and established automotive firm clusters, as well as being home to some of the world's largest technological giants such as Google, Microsoft, Apple, and others. Self-driving cars have already been tested and used in California, Texas, Arizona, Washington, Michigan, and other places in the United States, particularly in California. Their mobility, on the other hand, is currently limited to specified test sites and driving conditions. Following North America, Asia-Pacific is predicted to increase positively over the projection period, owing to factors such as China's position as the world's largest automotive market, the manufacturing capabilities of nations such as Japan and South Korea, as well as growing economies like as India.

Report Scope:

Segments Covered in the Report:

This report forecasts revenue growth at global, regional, and country levels and provides an analysis of the latest industry trends and opportunities in each of the sub-segments from 2020 to 2030. For the purpose of this study, has segmented the Global Autonomous Cars market report based on Type, Level of automation, Components, Fuel Type and region.

Global Autonomous Cars market, By Region:

• North America
  • Middle East & Africa
    • GCC
    • Israel
    • South Africa
    • Rest of Middle East & Africa
  • Latin America
    • Brazil
    • Mexico
    • Rest of Latin America
  • Asia Pacific
    • China
    • India
    • Japan
    • South Korea
    • Rest of Asia Pacific
  • Europe
    • Germany
    • UK
    • France
    • Russia
    • Italy
    • Rest of Europe
  • U.S.
  • Canada

The key players operating in the car subscription market are Volkswagen (Germany), Daimler (Germany), Nissan Motor (Japan), Robert Bosch (Germany), Continental AG (Germany), Google (US), Cisco Systems (US), Tesla (US), and Visteon (US) and suppliers such as Continental (Germany), Robert Bosch (Germany), Delphi Automotive (UK), Denso (Japan), and Valeo (France).  Many key player in the automobile sector, from hardware to software companies, have begun to focus on the developing trend of autonomous driving technologies. As a result, during the last three years, the automotive sector has seen a tremendous surge in partnerships, collaborations, and investments aimed at producing autonomous vehicles (i.e., 2018-2020). They are expected to continue growing during the projection period, owing to increased government and private sector backing for autonomous driving vehicle technologies in a number of nations.

Recent Highlights:

• Volvo Group and NVIDIA signed an agreement in March 2021 to collaborate on the decision-making system for autonomous commercial vehicles and machines. The final system will be intended to manage completely autonomous driving on public roads and highways securely, thanks to NVIDIA's end-to-end artificial intelligence platform for training, simulation, and in-vehicle computing.
• Aurora stated in February 2021 that it had formed a strategic partnership with Toyota and Denso to develop and deploy self-driving cars on a broad scale. Starting with the Toyota Sienna, the cooperation will build and test driverless vehicles outfitted with the Aurora Driver. Companies plan to start testing an initial fleet of Siennas by the end of 2021.
• Baidu Apollo stated in January 2021 that the California Department of Motor Vehicles (DMV) has granted Baidu a permit. The permission will allow the business to test self-driving cars on public roads throughout the state.

• Volkswagen
• Daimler
• Nissan Motor
• Robert Bosch
• Continental AG
• Cisco Systems
• Tesla
• Visteon