In-Cabin Automotive Artificial Intelligence (AI) Market to Grow at a CAGR of around 40% through 2027

The Global In-Cabin Automotive Artificial Intelligence (AI) Market is expected to witness around 40% CAGR during 2022-27, says MarkNtel Advisors in their research report. The increasing focus of the automotive industry worldwide towards offering a more personalized experience through AI-based cabin in vehicles is the prime aspect driving the market through 2027.

AI-powered cabins in vehicles enhance passengers' comfort by understanding their reactions toward the cabin environment & content they experience while traveling. With the rising demand for autonomous vehicles, the need to ensure the safety of both the driver & passenger is also increasing equally. Hence, to assist the driver in the correct decision-making process, the demand for in-cabin AI solutions is expected to boost in the coming years, further states the research report, “Global In-Cabin Automotive Artificial Intelligence (AI) Market Analysis, 2022.”

Driver Monitoring System Attained the Largest Share of the Global In-Cabin Automotive Artificial Intelligence (AI) Market

Driver monitoring systems monitor & analyze the driver’s behavior and assist accordingly to reduce the probability of accidents. The real-time information gathered through drivers’ behavior enables the system to address the required safety assistance on time and improve the in-cabin experience.

These systems include head tracking, emotion recognition, and gaze tracking, among other features, which determine the driver’s state of mind, attention level, & viewing directions and, in turn, identify potential risks to indicate required action. Hence, the mounting number of road accidents worldwide due to drivers being less attentive is driving the demand for driver monitoring systems.

With Extensive Presence of Automotive Leaders, Europe to Acquire the Largest Market Share

Of all regions, Europe is expected to acquire the largest share of the In-Cabin Automotive Artificial Intelligence (AI) Market, mainly due to the extensive presence of luxury automotive brands in the region. As a result, the increasing competition among these brands to deliver advanced safety features in their vehicles to enhance user experience is driving the demand for In-Cabin Artificial Intelligence solutions across the region.

In addition, increasing disposable income, the rising adoption of advanced technologies in vehicles, and the favorable economic situation of Europe are other crucial factors encouraging the overall market growth, reveals MarkNtel Advisors in their research report, “Global In-Cabin Automotive Artificial Intelligence (AI) Market Analysis, 2022.”

According to MarkNtel Advisors, the leading players in the Global In-Cabin Automotive Artificial Intelligence Market are Visteon Corporation, Visteon Corporation, Ambarella, Inc., Eyeris Technologies, Inc., Seeing Machines Limited, Cipia Vision Ltd., Valeo SA, Faurecia SE, Robert Bosch GmbH, Hyundai Mobis, Denso Corporation, NXP Semiconductors N.V., ZF Friedrichshafen AG, Aptiv PLC, Qualcomm Inc., Renesas Electronics Corporation.

Key Questions Answered in the Study

1. What are the current & future trends in the Global In-Cabin Automotive Artificial Intelligence (AI) Market?
2. How has the industry been evolving in terms of geography & service adoption?
3. How has the competition been shaping across the globe, followed by their comparative factorial indexing?
4. What are the key growth drivers & challenges for the Global In-Cabin Automotive Artificial Intelligence (AI) Market?
5. What are the customer orientation, purchase behavior, and expectations from the In-Cabin Automotive Artificial Intelligence (AI) service providers across the globe?

Market Segmentation:

1. By Application (Occupant Monitoring System, Driver Monitoring System, Conversation Assistance, Smart HVAC)
2. By Product (Radar, Camera, Voice Assistant, Smart Sensor)
3. By Level of Automation (Level 0, Level 1, Level 2, Level 3, Level 4, Level 5)
4. By Vehicle Price Category (Budget (Up to USD30,000), Economy (USD30,001 to USD 50,000), Premium (Above USD50,000))
5. By Region (North America, South America, Europe, Asia-Pacific)
6. By Country (The US, Canada, Mexico, Germany, The UK, Italy, France, China, India, China, Japan, South Korea)
7. By Company (Visteon Corporation, Ambarella, Inc., Eyeris Technologies, Inc., Seeing Machines Limited, Cipia Vision Ltd., Valeo SA, Faurecia SE, Robert Bosch GmbH, Hyundai Mobis, Denso Corporation, NXP Semiconductors N.V., ZF Friedrichshafen AG, Aptiv PLC, Qualcomm Inc., Renesas Electronics Corporation)