In-Cabin Automotive AI Market - GLOBAL:2021

Market Report Coverage :
Start Year : 2021 - Forecast Year : 2026 - Start Value : $77.4 Million in 2021 - Forecast Value : $503.2 Million by 2026 - CAGR % : 0.45%
Description :
Market Report Coverage - In-Cabin Automotive AIMarket Segmentation• Application: Driver Monitoring System, Occupant Monitoring System, Conversation Assistance, and Smart HVAC• Product: Camera, Radar, Voice Assistant, and Smart SensorRegional Segmentation• North America: U.S., Canada, and Mexico• Europe: France, Germany, Spain, and Rest-of-Europe• China• U.K.• Asia-Pacific and Japan: Japan, Australia, India, and Rest-of-Asia-Pacific and Japan• Rest-of-the-World (RoW): South America, Middle East and AfricaMarket Growth Drivers• Rising Demand for the Autonomous Vehicle• Increasing Concerns of Passenger and Pedestrian Safety Increase the Demand for In-Cabin Automotive AI• Rising Demand for Customized Consumer ExperienceMarket Challenges• Challenges Related to Infrastructure• Design ChallengesMarket Opportunities• Increasing Demand for HVAC Systems in Cockpit• Increasing Demand for Occupant Safety and SecurityKey Companies ProfiledVisteon 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 CorporationHow This Report Can Add ValueProduct/Innovation Strategy: The product segment helps the readers in understanding the different types of in-cabin automotive AI components used in vehicles. Also, the study provides the readers with a detailed understanding of the in-cabin automotive AI market by application and product.Growth/Marketing Strategy: In order to improve the capabilities of their product offerings, players in the global in-cabin automotive AI market are developing unique products. The readers will be able to comprehend the revenue-generating tactics used by players in the global in-cabin automotive AI market by looking at the growth/marketing strategies. Other market participants' tactics, such as go-to-market plans, will also assist readers in making strategic judgments.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?In-Cabin Automotive AI MarketThe in-cabin experience is usually referred to as the AI-powered cockpit, but it’s beyond the driver's perspective. In-car experiences encompass the entire user experience, including the driver and passengers, with the goal of improving the overall comfort of the in-cabin experience. This includes the application of AI in intelligent driver assistance programs that improve safety or in infotainment systems that give instructions to the driver while providing content recommendations to passengers in the seat.In-Cabin Automotive AI Industry OverviewThe 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.One of the most successful drivers in promoting customer loyalty is in-cabin AI and the experience it enables. The automakers are engaging with or looking to engage with key ecosystem providers to give additional value to their customers. Improved driver experience and safety, as well as intelligent in-car assistance, are among some of the advantages offered by AI-powered cabins.Market SegmentationIn-Cabin Automotive AI Market by ProductThe 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.In-Cabin Automotive AI Market by ApplicationThe 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.In-Cabin Automotive AI Market by RegionThe regions detailed 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. 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, thereby driving the market toward the adoption of in-cabin automotive AI.Key Market Players and Competition SynopsisVisteon 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 CorporationThe companies profiled in the report have been selected post undergoing in-depth interviews with experts and understanding details around companies such as product portfolios, annual revenues, market penetration, research and development initiatives, and domestic and international presence in the in-cabin automotive AI market.
Countries Covered :
North America U.S. Canada MexicoEurope Germany France Spain Rest-of-EuropeU.K.ChinaAsia-Pacific and Japan Japan India Australia Rest of Asia-Pacific and JapanRest-of-the-World South America Middle East and Africa
Keywords :
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Press Release :
The In-Cabin Automotive AI Market is expected to reach $503.2 Million by 2026, reveals the premium market intelligence study by BIS Research. 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 segmentsAnalyst’s take on the marketAccording to, Shivam Priyadarshi, Principal Analyst, BIS Research, “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.”Key companies operating in the marketPlayers 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 CorporationMarket Segmentation of In-Cabin Automotive MarketProduct: 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?
Companies Mentioned :
Visteon CorporationAmbarellaEyerisSeeing Machines LimitedEyesight Technologies (Cipia)ValeoFaureciaRobert Bosch GmbHHyundai MobisDenso CorporationNXP Semiconductors N.V.ZF Friedrichshafen AGAptiv plcQUALCOMM IncorporatedRenesas Electronics Corporation
Press Release :
The In-Cabin Automotive AI Market is expected to reach $503.2 Million by 2026, reveals the premium market intelligence study by BIS Research. 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 segmentsAnalyst’s take on the marketAccording to, Shivam Priyadarshi, Principal Analyst, BIS Research, “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.”Key companies operating in the marketPlayers 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 CorporationMarket Segmentation of In-Cabin Automotive MarketProduct: 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?
Headline :
Global In-Cabin Automotive AI Market is Expected to Reach $503.2 Million by 2026
Table of Contents :
1 Markets1.1 Industry Outlook1.1.1 Trends: Industry Dynamics Defining Future Trends In-Cabin Automotive AI Market1.1.1.1 Next-Generation In-Cabin Automotive AI1.1.1.2 Growing Trend for Digital Cockpit1.1.2 Market Drivers1.1.2.1 Rising Demand for the Autonomous Vehicle1.1.2.2 Increasing Concerns of Passenger and Pedestrian Safety Increase the Demand for In-Cabin Automotive AI1.1.2.3 OEMs and government regulatory authorities are taking necessary steps to improve transportation by addressing major challenges like road accidents and traffic congestion1.1.2.4 Rising Demand for Customized Consumer Experience1.1.2.5 Impact of Business Drivers1.1.3 Market Restraints1.1.3.1 Challenges Related to Infrastructure1.1.3.2 Design Challenges1.1.3.3 Impact of Business Restraints1.1.4 Market Opportunities1.1.4.1 Increasing Demand for HVAC Systems in Cockpit1.1.4.2 Increasing Demand for Occupant Safety and Security1.1.4.3 Impact of Business Opportunities1.1.5 Key Developments and Strategies1.1.5.1 Product Developments1.1.5.2 Market Developments1.1.5.3 Mergers & Acquisitions1.1.5.4 Partnerships & Joint Ventures1.2 Supply Chain Analysis2 Application2.1 Global In-Cabin Automotive AI Market Application and Specification2.1.1 Occupant Monitoring System2.1.2 Driver Monitoring System2.1.3 Conversation Assistance2.1.4 Smart HVAC2.2 Demand Analysis of In-Cabin Automotive AI Market (by Application)2.2.1 Occupant Monitoring System2.2.2 Driver Monitoring System2.2.3 Conversation Assistance2.2.4 Smart HVAC3 Products3.1 Global In-Cabin Automotive AI Market (by Product)3.1.1 Radar3.1.2 Camera3.1.3 Voice Assistant3.1.4 Smart Sensor3.2 Demand Analysis of In-Cabin Automotive AI Market (by Product)3.2.1 Radar3.2.2 Camera3.2.3 Voice Assistant3.2.4 Smart Sensor4 Region4.1 North America4.1.1 Market4.1.1.1 Buyers Attribute4.1.1.2 Key Players in North America4.1.1.3 North America: Competitive Benchmarking4.1.1.4 Business Challenges4.1.1.5 Business Drivers4.1.2 Application4.1.2.1 North America In-Cabin Automotive AI Market (by Application)4.1.3 Product4.1.3.1 North America In-Cabin Automotive AI (by Product Type)4.1.4 North America (by Country)4.1.4.1 U.S.4.1.4.1.1 Market4.1.4.1.1.1 Buyer Attributes4.1.4.1.1.2 Key Players in the U.S.4.1.4.1.1.3 Business Challenges4.1.4.1.1.4 Business Drivers4.1.4.1.2 Application4.1.4.1.2.1 U.S. In-Cabin Automotive AI Market (by Application)4.1.4.1.3 Product4.1.4.1.3.1 U.S. In-Cabin Automotive AI (by Product Type)4.1.4.2 Canada4.1.4.2.1 Market4.1.4.2.1.1 Buyers Attributes4.1.4.2.1.2 Key Players in Canada4.1.4.2.1.3 Business Challenges4.1.4.2.1.4 Business Drivers4.1.4.2.2 Application4.1.4.2.2.1 Canada In-Cabin Automotive AI Market (by Application)4.1.4.2.3 Product4.1.4.2.3.1 Canada In-Cabin Automotive AI (by Product Type)4.1.4.3 Mexico4.1.4.3.1 Market4.1.4.3.1.1 Buyers Attributes4.1.4.3.1.2 Key Players in Mexico4.1.4.3.1.3 Business Challenges4.1.4.3.1.4 Business Drivers4.1.4.3.2 Application4.1.4.3.2.1 Mexico In-Cabin Automotive AI Market (by Application)4.1.4.3.3 Product4.1.4.3.3.1 Mexico In-Cabin Automotive AI (by Product Type)4.2 Europe4.2.1 Market4.2.1.1 Buyers Attributes4.2.1.2 Key Players in Europe4.2.1.3 Europe: Competitive Benchmarking4.2.1.4 Business Challenges4.2.1.5 Business Drivers4.2.2 Application4.2.2.1 Europe In-Cabin Automotive AI Market (by Application)4.2.3 Product4.2.3.1 Europe In-Cabin Automotive AI (by Product Type)4.2.4 Europe (by Country)4.2.4.1 Germany4.2.4.1.1 Market4.2.4.1.1.1 Buyers Attributes4.2.4.1.1.2 Key players in Germany4.2.4.1.1.3 Business Challenges4.2.4.1.1.4 Business Drivers4.2.4.1.2 Application4.2.4.1.2.1 Germany In-Cabin Automotive AI Market (by Application)4.2.4.1.3 Product4.2.4.1.3.1 Germany In-Cabin Automotive AI (by Product Type)4.2.4.2 France4.2.4.2.1 Market4.2.4.2.1.1 Buyers Attributes4.2.4.2.1.2 Key Players in France4.2.4.2.1.3 Business Challenges4.2.4.2.1.4 Business Drivers4.2.4.2.2 Application4.2.4.2.2.1 France In-Cabin Automotive AI Market (by Application)4.2.4.2.3 Product4.2.4.2.3.1 France In-Cabin Automotive AI (by Product Type)4.2.4.3 Spain4.2.4.3.1 Market4.2.4.3.1.1 Buyers Attributes4.2.4.3.1.2 Key Players in Spain4.2.4.3.1.3 Business Challenges4.2.4.3.1.4 Business Drivers4.2.4.3.2 Application4.2.4.3.2.1 Spain In-Cabin Automotive AI Market (by Application)4.2.4.3.3 Product4.2.4.3.3.1 Spain In-Cabin Automotive AI (by Product Type)4.2.4.4 Rest-of-Europe4.2.4.4.1 Market4.2.4.4.1.1 Buyers Attributes4.2.4.4.1.2 Key players in Rest-of-Europe4.2.4.4.1.3 Business Challenges4.2.4.4.1.4 Business Drivers4.2.4.4.2 Application4.2.4.4.2.1 Rest-of-Europe In-Cabin Automotive AI Market (by Application)4.2.4.4.3 Product4.2.4.4.3.1 Rest-of-Europe In-Cabin Automotive AI (by Product Type)4.3 U.K.4.3.1 Market4.3.1.1 Buyers Attributes4.3.1.2 Key Players in the U.K.4.3.1.3 U K: Competitive Benchmarking4.3.1.4 Business Challenges4.3.1.5 Business Drivers4.3.2 Application4.3.2.1 U.K. In-Cabin Automotive AI Market (by Application)4.3.3 Product4.3.3.1 U.K. In-Cabin Automotive AI (by Product Type)4.4 Rest-of-the-World (RoW)4.4.1 South America4.4.1.1 Market4.4.1.1.1 Buyers Attributes4.4.1.1.2 Key Players in South America4.4.1.1.3 Business Challenges4.4.1.1.4 Business Drivers4.4.2 Middle East and Africa4.4.2.1 Market4.4.2.1.1 Buyers Attributes4.4.2.1.2 Key Players in Middle East and Africa4.4.2.1.3 Business Challenges4.4.2.1.4 Business Drivers4.4.3 Application4.4.3.1 Rest-of-the-World In-Cabin Automotive AI Market (by Application)4.4.4 Product4.4.4.1 Rest-of-the-World In-Cabin Automotive AI (by Product Type)4.5 China4.5.1 Market4.5.1.1 Buyers Attributes4.5.1.2 Key Players in China4.5.1.3 China: Competitive Benchmarking4.5.1.4 Business Challenges4.5.1.5 Business Drivers4.5.2 Application4.5.2.1 China In-Cabin Automotive AI Market (by Application)4.5.3 Product4.5.3.1 China In-Cabin Automotive AI (by Product Type)4.6 Asia-Pacific and Japan4.6.1 Market4.6.1.1 Buyers Attributes4.6.1.2 Key Players in the Asia-Pacific and Japan4.6.1.3 Asia-Pacific and Japan: Competitive Benchmarking4.6.1.4 Business Challenges4.6.1.5 Business Drivers4.6.2 Application4.6.2.1 Asia-Pacific and Japan In-Cabin Automotive AI Market (by Application)4.6.3 Product4.6.3.1 Asia-Pacific and Japan In-Cabin Automotive AI (by Product Type)4.6.4 Asia-Pacific and Japan (by Country)4.6.4.1 India4.6.4.1.1 Market4.6.4.1.1.1 Buyers Attributes4.6.4.1.1.2 Key Players in India4.6.4.1.1.3 Business Challenges4.6.4.1.1.4 Business Drivers4.6.4.1.2 Application4.6.4.1.2.1 India In-Cabin Automotive AI Market (by Application)4.6.4.1.3 Product4.6.4.1.3.1 India In-Cabin Automotive AI (by Product Type)4.6.4.2 Japan4.6.4.2.1 Market4.6.4.2.1.1 Buyers Attributes4.6.4.2.1.2 Key Players in Japan4.6.4.2.1.3 Business Challenges4.6.4.2.1.4 Business Drivers4.6.4.2.2 Application4.6.4.2.2.1 Japan In-Cabin Automotive AI Market (by Application)4.6.4.2.3 Product4.6.4.2.3.1 Japan In-Cabin Automotive AI (by Product Type)4.6.4.3 Australia4.6.4.3.1 Market4.6.4.3.1.1 Buyers Attributes4.6.4.3.1.2 Key Players in Australia4.6.4.3.1.3 Business Challenges4.6.4.3.1.4 Business Drivers4.6.4.3.2 Application4.6.4.3.2.1 Australia In-Cabin Automotive AI Market (by Application)4.6.4.3.3 Product4.6.4.3.3.1 Australia In-Cabin Automotive AI (by Product Type)4.6.4.4 Rest of Asia-Pacific and Japan4.6.4.4.1 Market4.6.4.4.1.1 Buyers Attributes4.6.4.4.1.2 Key Players in Asia-Pacific and Japan4.6.4.4.1.3 Business Challenges4.6.4.4.1.4 Business Drivers4.6.4.4.2 Application4.6.4.4.2.1 Rest of Asia-Pacific and Japan In-Cabin Automotive AI Market (by Application)4.6.4.4.3 Product4.6.4.4.3.1 Rest of Asia-Pacific and Japan In-Cabin Automotive AI (by Product Type)5 Markets - Competitive Benchmarking & Company Profiles5.1 Competitive Benchmarking5.2 Company Profile5.2.1 VISTEON CORPORATION5.2.1.1 Company Overview5.2.1.1.1 Product Portfolio5.2.1.2 Business Strategies5.2.1.2.1 Market Development5.2.1.3 Corporate Strategies5.2.1.3.1 Partnership and Collaboration5.2.1.4 Competitive Position5.2.1.4.1 Strength of the Company5.2.1.4.2 Weakness of the Company5.2.2 Ambarella5.2.2.1 Company Overview5.2.2.1.1 Product Portfolio5.2.2.2 Business Strategies5.2.2.2.1 Market Development5.2.2.2.2 Product Development5.2.2.3 Corporate Strategies5.2.2.3.1 Partnership and Collaboration5.2.2.4 Competitive Position5.2.2.4.1 Strength of the Company5.2.2.4.2 Weakness of the Company5.2.3 Eyeris5.2.3.1 Company Overview5.2.3.1.1 Product Portfolio5.2.3.2 Corporate Strategies5.2.3.2.1 Partnership and Collaboration5.2.3.3 Competitive Position5.2.3.3.1 Strength of the Company5.2.3.3.2 Weakness of the Company5.2.4 Seeing Machines Limited5.2.4.1 Company Overview5.2.4.1.1 Product Portfolio5.2.4.2 Business Strategies5.2.4.2.1 Product Development5.2.4.3 Corporate Strategies5.2.4.3.1 Partnership and Collaboration5.2.4.4 Competitive Position5.2.4.4.1 Strength of the Company5.2.4.4.2 Weakness of the Company5.2.5 Eyesight Technologies (Cipia)5.2.5.1 Company Overview5.2.5.1.1 Product Portfolio5.2.5.2 Business Strategies5.2.5.2.1 Product Development5.2.5.2.2 Market Development5.2.5.3 Corporate Strategies5.2.5.3.1 Partnership and Collaboration5.2.5.4 Competitive Position5.2.5.4.1 Strength of the Company5.2.5.4.2 Weakness of the Company5.2.6 Valeo5.2.6.1 Company Overview5.2.6.1.1 Product Portfolio5.2.6.2 Business Strategies5.2.6.2.1 Market Development5.2.6.3 Competitive Position5.2.6.3.1 Strength of the Company5.2.6.3.2 Weakness of the Company5.2.7 Faurecia5.2.7.1 Company Overview5.2.7.1.1 Product Portfolio5.2.7.2 Business Strategies5.2.7.2.1 Business Development5.2.7.3 Corporate Strategies5.2.7.3.1 Partnership and Collaboration5.2.7.4 Competitive Position5.2.7.4.1 Strength of the Company5.2.7.4.2 Weakness of the Company5.2.8 Robert Bosch GmbH5.2.8.1 Company Overview5.2.8.1.1 Product Portfolio5.2.8.2 Competitive Position5.2.8.2.1 Strength of the Company5.2.8.2.2 Weakness of the Company5.2.9 Hyundai Mobis5.2.9.1 Company Overview5.2.9.1.1 Product Portfolio5.2.9.2 Business Strategies5.2.9.2.1 Market Development5.2.9.2.2 Product Development5.2.9.3 Corporate Strategies5.2.9.3.1 Partnership and Collaboration5.2.9.4 Competitive Position5.2.9.4.1 Strength of the Company5.2.9.4.2 Weakness of the Company5.2.10 Denso Corporation5.2.10.1 Company Overview5.2.10.1.1 Product Portfolio5.2.10.2 Business Strategies5.2.10.2.1 Market Development5.2.10.3 Corporate Strategies5.2.10.3.1 Partnership and Collaboration5.2.10.4 Competitive Position5.2.10.4.1 Strength of the Company5.2.10.4.2 Weakness of the Company5.2.11 NXP Semiconductors N.V.5.2.11.1 Company Overview5.2.11.1.1 Product Portfolio5.2.11.2 Business Strategies5.2.11.2.1 Market Development5.2.11.3 Corporate Strategies5.2.11.3.1 Partnership and Collaboration5.2.11.4 Competitive Position5.2.11.4.1 Strength of the Company5.2.11.4.2 Weakness of the Company5.2.12 ZF Friedrichshafen AG5.2.12.1 Company Overview5.2.12.1.1 Product Portfolio5.2.12.2 Business Strategies5.2.12.2.1 Product Development5.2.12.3 Corporate Strategies5.2.12.3.1 Partnership and Collaboration5.2.12.4 Competitive Position5.2.12.4.1 Strength of the Company5.2.12.4.2 Weakness of the Company5.2.13 Aptiv plc5.2.13.1 Company Overview5.2.13.1.1 Product Portfolio5.2.13.2 Business Strategies5.2.13.2.1 Product Development5.2.13.3 Corporate Strategies5.2.13.3.1 Partnership and Collaboration5.2.13.4 Competitive Position5.2.13.4.1 Strength of the Company5.2.13.4.2 Weakness of the Company5.2.14 QUALCOMM Incorporated5.2.14.1 Company Overview5.2.14.1.1 Product Portfolio5.2.14.2 Corporate Strategies5.2.14.2.1 Partnership and Collaboration5.2.14.3 Competitive Position5.2.14.3.1 Strength of the Company5.2.14.3.2 Weakness of the Company5.2.15 Renesas Electronics Corporation5.2.15.1 Company Overview5.2.15.1.1 Product Portfolio5.2.15.2 Business Strategies5.2.15.2.1 Market Development5.2.15.3 Corporate Strategies5.2.15.3.1 Partnership and Collaboration5.2.15.4 Competitive Position5.2.15.4.1 Strength of the Company5.2.15.4.2 Weakness of the Company6 Research Methodology6.1 Data Sourcing6.1.1 Primary Data Sourcing6.1.2 Secondary Data Sources6.2 Data Triangulations6.3 Market Estimation and Forecast6.3.1 Factors for Data Prediction and ModelingList of Figures Figure 1: Global In-Cabin Automotive AI Market, $Million, 2020-2026Figure 2: Global In-Cabin Automotive AI Market (by Application), $Million, 2020-2026Figure 4: Global In-Cabin Automotive AI Market (by Region), 2020Figure 5: Global In-Cabin Automotive AI Market CoverageFigure 6: Mobility Survey, 2020Figure 7: Key Strategies (by Companies) 2020-2026Figure 8: Product Developments (by Company), 2018-2020Figure 9: Market Developments (by Company), 2019-2020Figure 10: Mergers & Acquisitions (by Company) 2018-2020Figure 11: Partnerships & Joint Ventures (by Company), 2019-2020Figure 12: Supply Chain AnalysisFigure 13: Key Stakeholders in the In-Cabin Automotive AI MarketFigure 14: Global In-Cabin Automotive AI Market for Occupant Monitoring System, $Million, 2020-2026Figure 15: Global In-Cabin Automotive AI Market for Driver Monitoring System, $Million, 2020-2026Figure 16: Global In-Cabin Automotive AI Market for Conversation Assistance, $Million, 2020-2026Figure 17: Global In-Cabin Automotive AI Market for Smart HVAC, $Million, 2020-2026Figure 18: Global In-Cabin Automotive AI Radar Market, $Million, 2020-2026Figure 19: Global In-Cabin Automotive AI Camera Market, $Million, 2020-2026Figure 20: Global In-Cabin Automotive AI Voice Assistant Market, $Million, 2020-2026Figure 21: Global In-Cabin Automotive AI Smart Sensor Market, $Million, 2020-2026Figure 22: Competitive BenchmarkingFigure 23: North America In-Cabin Automotive AI Market, $Million, 2020-2026Figure 24: U.S. In-Cabin Automotive AI Market, $Million, 2020-2026Figure 25: Canada In-Cabin Automotive AI Market, $Million, 2020-2026Figure 26: Mexico In-Cabin Automotive AI Market, $Million, 2020-2026Figure 27: Competitive BenchmarkingFigure 28: Europe In-Cabin Automotive AI Market, $Million, 2020-2026Figure 29: Germany In-Cabin Automotive AI Market, $Million, 2020-2026Figure 30: France In-Cabin Automotive AI Market, $Million, 2020-2026Figure 31: Spain In-Cabin Automotive AI Market, $Million, 2020-2026Figure 32: Rest-of-Europe In-Cabin Automotive AI Market, $Million, 2020-2026Figure 33: Competitive BenchmarkingFigure 34: U.K. In-Cabin Automotive AI Market, $Million, 2020-2026Figure 35: Rest-of-the-World In-Cabin Automotive AI Market, $Million, 2020-2026Figure 36: Competitive BenchmarkingFigure 37: China In-Cabin Automotive AI Market, $Million, 2020-2026Figure 38: Competitive BenchmarkingFigure 39: Asia-Pacific and Japan In-Cabin Automotive AI Market, $Million, 2020-2026Figure 40: India In-Cabin Automotive AI Market, $Million, 2020-2026Figure 41: Japan In-Cabin Automotive AI Market, $Million, 2020-2026Figure 42: Australia In-Cabin Automotive AI Market, $Million, 2020-2026Figure 43: Rest of Asia-Pacific and Japan In-Cabin Automotive AI Market, $Million, 2020-2026Figure 44: Competitive BenchmarkingFigure 45: Data TriangulationFigure 46: Top-Down and Bottom-Up ApproachList of Tables Table 1: Global In-Cabin Automotive AI Market (by Product), $Million, 2020-2026Table 2: North America In-Cabin Automotive AI Market (by Application), $Million, 2020-2026Table 3: North America In-Cabin Automotive AI Market (by Product Type), $Million, 2020-2026Table 4: U.S. In-Cabin Automotive AI Market (by Application), $Million, 2020-2026Table 5: U.S. In-Cabin Automotive AI Market (by Product Type), $Million, 2020-2026Table 6: Canada In-Cabin Automotive AI Market (by Application), $Million, 2020-2026Table 7: Canada In-Cabin Automotive AI Market (by Product Type), $Million, 2020-2026Table 8: Mexico In-Cabin Automotive AI Market (by Application), $Million, 2020-2026Table 9: Mexico In-Cabin Automotive AI Market (by Product Type), $Million, 2020-2026Table 10: Europe In-Cabin Automotive AI Market (by Application), $Million, 2020-2026Table 11: Europe In-Cabin Automotive AI Market (by Product Type), $Million, 2020-2026Table 12: Germany In-Cabin Automotive AI Market (by Application), $Million, 2020-2026Table 13: Germany In-Cabin Automotive AI Market (by Product Type), $Million, 2020-2026Table 14: France In-Cabin Automotive AI Market (by Application), $Million, 2020-2026Table 15: France In-Cabin Automotive AI Market (by Product Type), $Million, 2020-2026Table 16: Spain In-Cabin Automotive AI Market (by Application), $Million, 2020-2026Table 17: Spain In-Cabin Automotive AI Market (by Product Type), $Million, 2020-2026Table 18: Rest-of-Europe In-Cabin Automotive AI Market (by Application), $Million, 2020-2026Table 19: Rest-of-Europe In-Cabin Automotive AI Market (by Product Type), $Million, 2020-2026Table 20: U.K. In-Cabin Automotive AI Market (by Application), $Million, 2020-2026Table 21: U.K. In-Cabin Automotive AI Market (by Product Type), $Million, 2020-2026Table 22: Rest-of-the-World In-Cabin Automotive AI Market (by Application), $Million, 2020-2026Table 23: Rest-of-the-World In-Cabin Automotive AI Market (by Product Type), $Million, 2020-2026Table 24: China In-Cabin Automotive AI Market (by Application), $Million, 2020-2026Table 25: China In-Cabin Automotive AI Market (by Product Type), $Million, 2020-2026Table 26: Asia-Pacific and Japan In-Cabin Automotive AI Market (by Application), $Million, 2020-2026Table 27: Asia-Pacific and Japan In-Cabin Automotive AI Market (by Product Type), $Million, 2020-2026Table 28: India In-Cabin Automotive AI Market (by Application), $Million, 2020-2026Table 29: India In-Cabin Automotive AI Market (by Product Type), $Million, 2020-2026Table 30: Japan In-Cabin Automotive AI Market (by Application), $Million, 2020-2026Table 31: Japan In-Cabin Automotive AI Market (by Product Type), $Million, 2020-2026Table 32: Australia In-Cabin Automotive AI Market (by Application), $Million, 2020-2026Table 33: Australia In-Cabin Automotive AI Market (by Product Type), $Million, 2020-2026Table 34: Rest of Asia-Pacific and Japan In-Cabin Automotive AI Market (by Application), $Million, 2020-2026Table 35: Rest of Asia-Pacific and Japan In-Cabin Automotive AI Market (by Product Type), $Million, 2020-2026