Artificial intelligence (AI) systems continue to take over exciting new responsibilities that simplify and improve the driving experience. Automotive companies are seeing AI as a new mode for increasing their profitability margins.

In-car experiences comprise the complete user experience, including the driver and all passengers, with the goal of improving the total in-cabin experience. This might include AI applications in intelligent driver assistance programs that improve safety or in infotainment systems that can give instructions to the driver while providing content recommendations to passengers in the backseat.

Read Report Overview: In-Cabin Automotive AI Market

Customers mostly make their first purchase of a particular car brand based on external look characteristics, but the interior of the vehicle is what drives their likelihood of being a repeat client. One of the most successful aspects in promoting customer loyalty for automotive manufacturers is in-cabin AI and the experience. To give additional value to their customers, automakers are engaging with key ecosystem providers. Improved driver experience and safety, as well as intelligent in-car assistance, are among the advantages of the AI-powered cabin.

The global in-cabin automotive AI market is expected to reach $503.2 million by 2026, with a CAGR of 45.41% during the forecast period 2021-2026. According to studies, customers make their first purchase of a particular car brand based mostly on outward look qualities, but the interior of the vehicle is what drives their likelihood of being a repetitive client.

Currently, most AI-powered solutions in cars are built around advanced driver-assistance systems (ADAS)

However, to truly support the driver, it is important to monitor what is going on inside the vehicle. In-cabin sensing solutions support ADAS by collecting valuable information about the driver and the passengers. The objective is to personalize the in-cabin environment, various safety structures, and entertainment options in accordance with the real needs of the passengers.

Driver Monitoring System to Dominate the In-Cabin Automotive AI Market in Application Segment

The driver monitoring system integrates the use of sensors, cameras, and other "intelligent" equipment to provide aid, direction, and warning to the driver in a variety of crucial situations and emergencies. Moreover, the rising number of traffic accidents globally as a result of less driver alertness has become a serious area of concern for the governments. Drivers with low attentiveness have a significant reduction in their opinion, realization, and vehicle control abilities, creating a substantial risk to their own lives as well as the lives of others. The demand for driver monitoring systems will rise due to the rising demand for driver distraction and drunk driver monitoring, especially in developing countries, as well as all around the world.

Camera Segment to Dominate the In-Cabin Automotive AI Market in Product Segment

Among the various types of products, the camera has the highest share as the monitoring system contains a charge-coupled device (CCD) camera that can track the driver's eye and is mounted on the steering column. In case of an emergency situation is recognized, the system alerts the driver with warning sounds and flashing lights. If the driver fails to react in a timely manner, the vehicle will automatically apply the brakes. A driver monitoring system (DMS) uses an infrared light-emitting diode (LED) and a camera to monitor the driver for signs of inattention or tiredness.

Europe to Dominate the In-Cabin Automotive AI Market

Europe has the largest market share in the global in-cabin automotive AI market. The economic situation in Europe is favorable, and the consumers have a high disposable income, thus leading to high demand for technologies such as in-cabin automotive AI. Image sensing/cameras, infrared sensing, and strain gauges are among the region's signature technologies related to in-cabin automotive AI. Along with this, manufacturers are looking to improve their flexibility across the value chain, thus moving the market more inclined toward in-cabin automotive AI.

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Key Questions Answered in this Report:

• For a new company looking to enter the market, which areas could it focus upon to stay ahead of its competitors?
• How do the existing market players function to improve their market positioning?
• Which are the promising companies that have obtained financial support to develop their products and markets?
• How does the supply chain function in the global in-cabin automotive AI market?
• Which product segment is expected to witness the maximum demand growth in the in-cabin automotive AI market during the forecast period 2021-2026?
• What are the demand patterns of in-cabin automotive AI across the application areas in different regions and countries during the forecast period 2021-2026?

The report is a compilation of various segmentations, including market breakdown by product type, application, and region. The report highlights the key driving and restraining forces for the market as well as the opportunities in different applications across the leading countries. In the extensive primary research process undertaken for this study, the sources include industry experts and key executives from prominent companies and organizations across the in-cabin automotive AI value chain.