The In-Cabin Automotive AI Market is expected to reach $503.2 Million by 2026, reveals the premium market intelligence study by CRI Report. The study also highlights that the market is set to witness a CAGR of 45.41% during the forecast period from 2021-2026.
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.
USP of the Report
• A dedicated section focusing on the futuristic trends adopted by the key players operating in the global in-cabin automotive AI market
• Extensive competitive benchmarking of top 15 players offering a holistic view of the global in-cabin automotive AI market landscape
• Qualitative and quantitative analysis of in-cabin automotive AI market at the region and country-level and granularity by application and product segments
Analyst’s take on the market
According to this report, “The automotive industry has expanded globally over the last century, primarily owing to changing consumer preferences, rising concerns with regard to driver safety, environmental concerns, and stringent government regulations focusing on crash avoidance rather than crash survival. The constant demand to meet efficiency and security standards is effectively driving the need for deploying sensors.”
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Key companies operating in the market
Players analyzed and profiled in the study include in-cabin automotive AI providers that capture the maximum share in the global in-cabin automotive AI market. Moreover, a detailed competitive benchmarking of the players operating in the global in-cabin automotive AI market has been done that will help the readers to understand how players stack against each other, presenting a clear market landscape.
Additionally, comprehensive competitive strategies such as partnerships, agreements and collaborations, and mergers and acquisitions are expected to aid the readers in understanding the untapped revenue pockets in the market.
Visteon Corporation, Ambarella, Eyeris, Seeing Machines Limited, Eyesight Technologies (Cipia), Valeo, Faurecia, Robert Bosch GmbH, Hyundai Mobis, Denso Corporation, NXP Semiconductors N.V., ZF Friedrichshafen AG, Aptiv plc, QUALCOMM Incorporated, Renesas Electronics Corporation
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Market Segmentation of In-Cabin Automotive Market
Product: The global in-cabin automotive AI market has been segmented based on product including camera, radar, voice assistant, smart sensor. Among the various types of products, the camera holds the highest share as the monitoring systems contain 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, 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.
Application: The global in-cabin automotive AI market has been segmented based on application driver monitoring system, occupant monitoring system, conversation assistance, smart HVAC.
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.
Region: The regions highlighted in this report include North America, Europe, the U.K., China, Asia-Pacific and Japan, South America, and the Middle East and Africa. Europe holds 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, thereby leading to high demand for technologies such as in-cabin automotive AI.
Key Questions Answered in the Report
• For a new company looking to enter the market, which areas could it focus upon to stay ahead of the competitor?
• 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 in-cabin automotive AI market?
• Which product segment is expected to witness the maximum demand growth in the in-cabin automotive AI market during 2021-2026?
• What are the demand patterns of in-cabin automotive AI market across the application areas in different regions and countries during the forecast period 2021-2026?