The latest research study "In-vehicle AI Robot Market: Global Industry Trends, Share, Size, Growth, Opportunity and Forecast 2022-2027" by IMARC Group, finds that the global in-vehicle AI robot market is expected to exhibit a CAGR of 17.55% during 2022-2027.

What is In-vehicle AI robot?

The increasing penetration of AI technology in the automotive industry and the escalating requirement for a safe mode of transportation are primarily driving the in-vehicle AI robot market. Additionally, the development of self-driving or driverless vehicles that are integrated with advanced sensors and cameras, internet connectivity, automatic crash notifications, improved engine control features, etc., is also positively influencing the global market. Apart from this, the rising utilization of the technology to ensure the self-mobility of non-drivers and individuals with disabilities and the growing popularity of cutting-edge light detection and ranging pr LiDAR and radio detection and ranging or RADAR sensing solutions for efficient monitoring and generation of 3D maps of the surroundings are acting as significant growth-inducing factors. Moreover, the launch of numerous advanced technologies, such as adaptive algorithms, high-definition mapping, sensor processing, enhanced infrastructure, etc., is further propelling the market growth. Besides this, the elevating diversification in robot capabilities, driven by innovations in machine learning ML, adaptive computing, and vision systems, is anticipated to bolster the in-vehicle AI robot market in the coming years.

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In-vehicle AI Robot Market Trends and Drivers:

In-vehicle artificial intelligence robot or in-vehicle AI robot represents advanced technologies that allow the automobile to operate independently without any or much human intervention. They consist of superior-quality sensors, complex algorithm processors, advanced driver assistance systems (ADAS), actuators, and smart control systems. These in-vehicle AI robot solutions are designed to perform necessary vehicle functions by sensing and responding to several external surroundings and conditions through superior and in-built programs. They gather information and execute various tasks and responsive actions, including steering, braking, acceleration, etc. Consequently, in-vehicle AI robot technologies find extensive applications in passenger and commercial vehicles across the globe.

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In-vehicle AI Robot Market 2022-2027 Analysis and Segmentation:

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.

AutoX Inc., MG Motor India Pvt. Ltd. (SAIC Motor Corp. Ltd.), Motional Inc., Nauto Inc., Predii Inc., Refraction AI Inc., Waymo LLC (Alphabet Inc.) and 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
• Market Outlook
• 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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