Semi-Autonomous Vehicle Market Hits $113.76 Million by 2030

The SNS Insider report indicates that the 𝐒𝐞𝐦𝐢-𝐀𝐮𝐭𝐨𝐧𝐨𝐦𝐨𝐮𝐬 𝐕𝐞𝐡𝐢𝐜𝐥𝐞 𝐌𝐚𝐫𝐤𝐞𝐭 was valued at US$ 24.27 million in 2022, and it is projected to achieve a market size of 𝐔𝐒$ 𝟏𝟏𝟑.𝟕𝟔 𝐦𝐢𝐥𝐥𝐢𝐨𝐧 𝐛𝐲 𝟐𝟎𝟑𝟎, with a compound annual growth rate (CAGR) of 21.3% expected over the forecast period from 2023 to 2030.

𝐀 𝐂𝐨𝐦𝐩𝐫𝐞𝐡𝐞𝐧𝐬𝐢𝐯𝐞 𝐌𝐚𝐫𝐤𝐞𝐭 𝐑𝐞𝐩𝐨𝐫𝐭 𝐒𝐜𝐨𝐩𝐞:

As technology continues to advance, the capabilities of autonomous and semi-autonomous vehicles are expected to improve further, potentially leading to safer and more efficient transportation systems. However, widespread adoption will depend on various factors, including regulatory approval, public acceptance, and continued technological development.

Increasing safety features in vehicles are a major factor driving the growth of the global market for autonomous vehicles. These advanced features in vehicles are developed to reduce the related death cases, the number of road accidents and maintain safety regulations. In addition, owing to the increasing need for improved fuel efficiency, rising demand for superior driving experience and more advanced technological developments, the global market for automated vehicles is expected to grow further.

𝐊𝐞𝐲 𝐏𝐥𝐚𝐲𝐞𝐫𝐬:

• Audi AG
• BMW AG
• Continental AG
• Honda Motor Corporation
• Daimler AG (Mercedes Benz)
• Valeo S.A
• Ford Motor Company
• General Motors
• Nissan Motor Company
• Toyota Motor Corporation
• Volvo Car Corporation
• Volkswagen AG

𝐆𝐞𝐭 𝐚 𝐅𝐫𝐞𝐞 𝐏𝐃𝐅 𝐆𝐮𝐢𝐝𝐞 𝐭𝐨 𝐒𝐞𝐦𝐢-𝐀𝐮𝐭𝐨𝐧𝐨𝐦𝐨𝐮𝐬 𝐕𝐞𝐡𝐢𝐜𝐥𝐞 𝐌𝐚𝐫𝐤𝐞𝐭 𝐑𝐞𝐩𝐨𝐫𝐭 @ https://www.snsinsider.com/sample-request/1807

𝐌𝐚𝐫𝐤𝐞𝐭 𝐆𝐫𝐨𝐰𝐭𝐡 𝐅𝐚𝐜𝐭𝐨𝐫𝐬:

Semi-autonomous vehicles are well known for operating with little manual intervention for a longer period. In addition, these autonomous vehicles are capable of changing lanes, stopping, accelerating or slowing down. In addition, these autonomous vehicles can sense the driving conditions that are capable of self-parking and being able to reassign controls, control all safety critical functions as well as offering a sufficient amount of transition time. The autonomous vehicles are found to be working.

𝐒𝐞𝐠𝐦𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬:

The global market has been divided into levels 1, 2 and 3 on the basis of the automation level segment. The level 1 automation category, which is expected to increase at a compound annual growth rate of 22 % from 2022 to 2030, accounted for the largest volume share in the automated vehicle market in 2021. By 2022, a significant part of the market will be dominated by the ability to provide advanced driver assistance systems at Level 2 automation. (ADAS).

𝐊𝐞𝐲 𝐌𝐚𝐫𝐤𝐞𝐭 𝐒𝐞𝐠𝐦𝐞𝐧𝐭:

By Automation Level:
• Level 1
• Level 2
• Level 3

By Vehicle Type:
• Passenger car
• Commercial vehicles

By Components:
• Camera
• Ultrasonic sensor
• LiDAR
• Radar
• Others

𝐊𝐞𝐲 𝐑𝐞𝐠𝐢𝐨𝐧𝐚𝐥 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭:

With a volume share of 31.5%, North America dominated the global market in 2022. The uptake of advanced technologies like the Internet of Things IoT and Machine Learning ML may be a reason for this high proportion. A strong ecosystem of applications based on the Internet of Things has been created by companies such as Google, Inc.; Cisco Systems, Inc.; and IBM Corporation which have contributed to a significant market for this type of smart device. Europe's share of the volume was 28.6% and is expected to increase significantly over the forecast period. The growth of the market is due to a significant automotive sector in countries such as Germany, France, United Kingdom and Italy. The market offers growth opportunities due to enhanced data transfer capacity, thanks to favourable regulatory mandates for the deployment of 5G networks. Plans for the deployment of truck platooning practices have also been drawn up by the EU

𝐄𝐧𝐪𝐮𝐢𝐫𝐞 𝐀𝐛𝐨𝐮𝐭 𝐒𝐞𝐦𝐢-𝐀𝐮𝐭𝐨𝐧𝐨𝐦𝐨𝐮𝐬 𝐕𝐞𝐡𝐢𝐜𝐥𝐞 𝐌𝐚𝐫𝐤𝐞𝐭 𝐑𝐞𝐩𝐨𝐫𝐭 @
https://www.snsinsider.com/enquiry/1807

𝐊𝐞𝐲 𝐓𝐚𝐤𝐞𝐚𝐰𝐚𝐲'𝐬:

Semi-Autonomous Vehicle Market Due to their operating system, autonomous vehicles are popular because they require minimal manual intervention for a longer period of time. In addition, these semiautonomous vehicles may switch to stops, lanes and slow down or speed up. In addition, such vehicles have the capability of self-parking and sensing conditions which also allow a driver to reassign controls, offering sufficient transition time and monitoring all aspects of their safety is constantly dependent on technology as well as its automation

𝐑𝐞𝐜𝐞𝐧𝐭 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭𝐬:

In January 2022, NVIDIA, an American technology firm, partnered with TuSimple to boost the production of self-driving tech with NVIDIA's Drive Orin. With this collaboration, both companies aim to elevate their market position in the U.S. market.

𝐁𝐮𝐲 𝐋𝐚𝐭𝐞𝐬𝐭 𝐑𝐞𝐩𝐨𝐫𝐭 𝐨𝐟 𝐒𝐞𝐦𝐢-𝐀𝐮𝐭𝐨𝐧𝐨𝐦𝐨𝐮𝐬 𝐕𝐞𝐡𝐢𝐜𝐥𝐞 𝐌𝐚𝐫𝐤𝐞𝐭 𝐍𝐨𝐰 @ https://www.snsinsider.com/checkout/1807

𝐓𝐚𝐛𝐥𝐞 𝐨𝐟 𝐂𝐨𝐧𝐭𝐞𝐧𝐭𝐬 - 𝐌𝐚𝐣𝐨𝐫 𝐊𝐞𝐲 𝐏𝐨𝐢𝐧𝐭𝐬

1. Introduction
2. Research Methodology
3. Market Dynamics
4. Impact Analysis
5. Value Chain Analysis
6. Porter's 5 Forces Model
7. PEST Analysis
8. Global Semi-Autonomous Vehicle Market Segmentation, By Automation Level
9. Global Semi-Autonomous Vehicle Market Segmentation, By Vehicle Type
10. Global Semi-Autonomous Vehicle Market Segmentation, by Components
11. Regional Analysis
12. Company Profiles
13. Competitive Landscape
14. Conclusion

𝐆𝐫𝐚𝐛 𝐚 𝐒𝐩𝐞𝐜𝐢𝐚𝐥 𝐃𝐢𝐬𝐜𝐨𝐮𝐧𝐭 𝐨𝐧 𝐏𝐮𝐫𝐜𝐡𝐚𝐬𝐞 @ https://www.snsinsider.com/discount/1807

Akash Anand - Head of Business Development & Strategy,

Phone: +1-415-230-0044 (US) | +91-7798602273 (IND),

info@snsinsider.com

Website: https://www.snsinsider.com/

Read Our Other Automotive Reports

𝐒𝐍𝐒 𝐈𝐧𝐬𝐢𝐝𝐞𝐫 has been a leader in data and analytics globally with its authentic consumer and market insights. The trust of our clients and business partners has always been at the center of who we are as a company. We are a business that leads the industry in innovation, and to support the success of our clients, our highly skilled engineers, consultants, and data scientists have consistently pushed the limits of the industry with innovative methodology and measuring technologies.

We assist our clients to anticipate industrial, economic, and consumer trends to drive disruptive change by fusing global experience with local information from experts throughout the world. We bring context to strategic and tactical data by bridging approaches based on data science and field research, assisting you in addressing your most pressing problems and spotting possibilities.

This release was published on openPR.