IMARC Group, a leading market research company, has recently releases report titled “In-vehicle AI Robot Market: Global Industry Trends, Share, Size, Growth, Opportunity and Forecast 2023-2028” The global in-vehicle AI robot market size reached US$ 56.3 Million in 2022. Looking forward, IMARC Group expects the market to reach US$ 148.0 Million by 2028, exhibiting a growth rate (CAGR) of 17.5% during 2023-2028.

An in-vehicle AI robot is a cutting-edge technology that enables a vehicle to operate autonomously without human intervention. It achieves this by perceiving and reacting to its external environment and conditions through sophisticated built-in programs. In-vehicle AI robots primarily consist of intricate algorithm processors, high-end sensor mechanisms, advanced driver assistance systems (ADAS), intelligent control techniques, and actuators. These components work together to gather information and carry out responsive actions, such as steering, braking, and acceleration. Consequently, this technology is widely employed in premium, luxury, and compact passenger cars, as well as buses and coaches, on a global scale.

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In-vehicle AI Robot Market Trends and Drivers:

The elevating requirement for a safe and efficient mode of transportation is among the primary factors driving the in-vehicle AI robot market. Besides this, the emergence of self-driving or driverless automobiles that are integrated with internet connectivity, automatic crash notifications, advanced cameras and sensors, enhanced engine control, etc., is further augmenting the market growth. Moreover, the growing popularity of in-vehicle AI robots to ensure the self-mobility of non-drivers and individuals with disabilities is also catalyzing the global market. Apart from this, the inflating need for efficient Light Detection and Ranging (LiDAR) and Radio Detection and Ranging (RADAR) sensing solutions for monitoring and generation of 3D maps of the surroundings is acting as another significant growth-inducing factor. Additionally, the introduction of several advanced technologies, including sensor processing, high-definition mapping, adaptive algorithms, improved infrastructure, etc., is also stimulating the market growth. Furthermore, the rising innovations in machine learning (ML), adaptive computing, and vision systems are anticipated to propel the in-vehicle AI robot market over the forecasted period. 

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Competitive Landscape:

The competitive landscape of the market has been studied in the report with the detailed profiles of the key players operating in the market.

• MG Motor India Pvt. Ltd. (SAIC Motor Corp. Ltd.)

• AutoX Inc.

• Motional Inc.

• Nauto Inc.

• Predii Inc.

• Refraction AI Inc.

• Waymo LLC (Alphabet Inc.)

• Zoox Inc. (Amazon.com Inc).
  
  The report has segmented the market on the basis of autonomous level and vehicle category.

Breakup by Autonomous Level:

• Level 2 and 3

• Level 4 and 5

Breakup by Vehicle Category:

• Passenger Cars

  • Compact and Mid-Sized

  • Premium and Luxury

  • SUVs

• Commercial Vehicles

  • LCVs

  • HCVs

  • Buses and Coaches

Breakup by Region:
• North America: (United States, Canada)
• Asia Pacific: (China, Japan, India, South Korea, Australia, Indonesia, Others)
• Europe: (Germany, France, United Kingdom, Italy, Spain, Russia, Others)
• Latin America: (Brazil, Mexico, Others)
• Middle East and Africa

Key highlights of the report:
• Market Performance (2017-2022)
• Market Outlook (2023- 2028)
• Porter's Five Forces Analysis
• Market Drivers and Success Factors
• SWOT Analysis
• Value Chain
• Comprehensive Mapping of the Competitive Landscape

If you need specific information that is not currently within the scope of the report, we can provide it to you as a part of the customization.

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