In-Cabin Automotive AI Market Research Study by 2029 | VISTEON CORPORATION, Ambarella, Eyeris, Seeing Machines Limited

The qualitative report published by market intelligence data research on the "In-Cabin Automotive AI Market offers an in-depth examination of the current trends, latest expansions, conditions, market size, various drivers, limitations, and key players along with their profile details. The In-Cabin Automotive AI market report offers the historical data for 2017 to 2022 and also makes available the forecast data from the year 2023 to 2029 which is based on revenue. With the help of all this information research report helps the Market contributors to expand their market positions. With the benefit of all these explanations, this market research report recommends a business strategy for present market participants to strengthen their role in the market. This report analyzes the impact of the Covid 19 pandemic on the In-Cabin Automotive AI Market from a Global and Regional perspective.

The global In-Cabin Automotive AI Market is expected to grow at a CAGR of 42.4% between 2023 and 2029.

Automobile manufacturers view AI as a new method for expanding their profit margins. In-car experiences encompass the entire user experience, including the driver and all passengers, to enhance the overall cabin experience. AI applications in intelligent driver assistance programs that enhance safety or infotainment systems that instruct drivers while recommending content to passengers in the backseat are examples. AI and the in-car experience are one of the most effective aspects for automotive manufacturers in fostering customer loyalty.

Automobile manufacturers are collaborating with vital ecosystem providers to provide added value to their customers. The benefits of an AI-powered cabin include an enhanced driver experience, safety, and intelligent in-car assistance. Essential components of automotive AI that enable a smart cockpit include object categorization, scene understanding, location services, natural language understanding, face detection/fingerprint recognition, sensor processing and fusion, voice/noise cancellation, and voice/speech recognition.

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Top Key Players are covered in the In-Cabin Automotive AI Market Report:

 VISTEON CORPORATION, Ambarella, Eyeris, Seeing Machines Limited, Cipia, Valeo, Faurecia, Robert Bosch GmbH, Hyundai Mobis, Denso Corporation, NXP Semiconductors N.V., ZF Friedrichshafen AG, Aptiv plc, QUALCOMM Incorporated, Renesas Electronics Corporation,Smart Eye

Market News

In March 2023, Cipia, an AI computer vision in-cabin automotive consulting firm, announced a new Tier 1 design win for Chinese automaker Chery. The two new Chery models will be equipped with Cipia's Driver Sense driver monitoring system (DMS), which will be integrated into the vehicles' In-Vehicle Infotainment (IVI) system and powered by a Qualcomm SOC.

In March 2023, Smart Eye, the global leader in AI for Human Insight, partnered with Texas Instruments (TI). The companies' technologies collaborate to provide automakers with an innovative interior sensing solution that enhances driver safety and enables enhanced comfort, wellness, and entertainment in the cabin.

Regional Analysis:

The region-wise coverage of the market is mentioned in the report, mainly focusing on the regions:

North America (NA) - US, Canada, and Mexico

Europe (EU) - UK, Germany, France, Italy, Russia, Spain & Rest of Europe

Asia-Pacific (APAC) - China, India, Japan, South Korea, Australia & Rest of APAC

Latin America (LA) - Brazil, Argentina, Peru, Chile & Rest of Latin America

The Middle East and Africa (MEA) - Saudi Arabia, UAE, Israel, South Africa

North America is the most significant global in-cabin automotive AI market shareholder and is anticipated to exhibit a CAGR of 42.49% during the forecast period. The demand for in-vehicle AI is expected to increase in this region due to consumers' preference for modern technologies that enhance comfort. Increasing investments in the automotive industry and rising consumer awareness of the vehicle's comfort and safety are also significant factors in the region's growing demand for in-vehicle artificial intelligence. In addition, Ambarella, ARM, Bitsensing Inc., Bosch (Robert Bosch GmbH), Caaresys, Denso Corporation, Edgetensor Technologies Inc., and Eyeris are prominent manufacturers and suppliers in North America.

Europe is projected to exhibit a CAGR of 47.89% over the forecast period. The government's growing concern for road safety has fueled the market's growth for in-car artificial intelligence components. In addition, Euro NCAP announced that five-star safety ratings are required for driver monitoring systems. The European General Safety Regulation mandates driver monitoring technology in all new cars, vans, trucks, and buses beginning in 2024. In addition, European motorists are more concerned with the safety of the driver and passengers. According to a study conducted by the European Commission, driver inattention is the likely cause of 10 to 30 percent of annual road accidents in Europe, creating market opportunities for in-cabin automotive AI applications.

Market Segment Analysis:

The In-Cabin Automotive AI Market Report provides a preliminary review of the industry, definitions, classifications, and enterprise chain shape. Market analysis is furnished for the worldwide markets which include improvement tendencies, hostile view evaluation, and key regions development. Development policies and plans are discussed, and manufacturing strategies and fee systems are also analyzed.

In-Cabin Automotive AI Market Segmentation by Types:

Occupant Monitoring System

Driver Monitoring System

Conversation Assistance

Smart HVAC

Others

In-Cabin Automotive AI Market Segmentation by Applications:

Fuel Vehicle

Electric Vehicle

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Significant Features and Key Highlights of the In-Cabin Automotive AI Market Reports:

- Detailed overview of The In-Cabin Automotive AI market.

- Changing market dynamics of the industry.

- In-depth market breakdown by Type, Application, etc.

- Historic, existing, and predictable market size in terms of extent and worth.

- Recent manufacturing trends and developments.

- Competitive landscape of The In-Cabin Automotive AI market.

- Approaches to significant performers and product help.

- Prospective and niche sectors/regions exhibiting promising growth.

Market Dynamics

Rising Demand for Autonomous Vehicles Drives the Global Market

The automotive industry is dynamic because technological innovations are causing change. Several industry leaders are making substantial investments in the research and development of technologies. In addition, the regulatory framework, government funding, and investment support for digital infrastructure influence self-driving car technology and would create market opportunities for in-cabin automotive AI. An autonomous vehicle combines various sensors, like radio detection and ranging (RADAR) and light detection and ranging (LiDAR) systems, to perform tasks automatically and without a driver's assistance. All functions are controlled from the cabin, creating a need for in-cabin automotive AI to improve performance. In addition, one of the most significant factors is the rise in safety concerns, which has led to the acceptance of autonomous vehicles facilitated by the development of automotive technologies.

Increasing Demand for Occupant Safety and Security Creates Tremendous Opportunities

The government has mandated that every automobile be equipped with an occupant protection system available every automobile. The occupant protection system has drastically reduced the number of accidents-related injuries. In recent years, occupant protection systems have integrated sophisticated electronic components with high-performance dependability. The market for safety systems, such as occupant protection systems, has reached saturation due to ongoing research and development in safety technologies and rising demand for safety. In addition, increased driver safety awareness and the growing influence of safety regulations enforced by the European Union and the U.S. Department of Transportation are expected to benefit the industry. Due to stringent regulations, automakers are compelled to implement the most modern sensor-based systems. In addition, the criteria for electronic safety systems in the automobile industry are becoming more stringent.

Detailed TOC of In-Cabin Automotive AI Market Research Report 2023 - 2029

Chapter 1 In-Cabin Automotive AI Market Overview

Chapter 2 Global Economic Impact on Industry

Chapter 3 Global Market Competition by Manufacturers and, Market data

Chapter 4 Global Supply (Production), Consumption, Export, Import by Regions

Chapter 5 Global Production, Revenue (Value), Price Trend by Type and Region

Chapter 6 Global Market Analysis by Application

Chapter 7 Manufacturing Cost and, Gross profit Analysis

Chapter 8 Industrial Chain, Sourcing Strategy, and Downstream Buyers

Chapter 9 Marketing Strategy and, Status Analysis, Distributors/Traders

Chapter 10 Market Driving Effect Factors Analysis

Chapter 11 Global In-Cabin Automotive AI Market Trends and, Forecast

Chapter 12 Research Methodology

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COVID-19 and Russia-Ukraine War Influence Analysis

The readers in the section will recognize how the In-Cabin Automotive AI market scenario changed across the globe during the pandemic, post-pandemic, and Russia-Ukraine War. The study is done keeping in view the changes in aspects such as demand, consumption, transference, consumer behavior, supply chain management, export and import, and production. The industry experts have also highlighted the key factors that will help create opportunities for players and stabilize the overall industry in the years to come. These factors negatively affected the market during the war."

The In-Cabin Automotive AI Market report gives answers to the following:

What guidelines are followed by key performers to contest this Covid-19 condition?
What are the important matters drivers, opportunities, challenges, and dangers of the market?
will face surviving?
Which are the essential market players in the In-Cabin Automotive AI industry?
What is the forecast compound annual growth rate (CAGR) of the global market for the duration of the forecast period (2023-2029)?
What could be the anticipated value of the In-Cabin Automotive AI marketplace during the forecast period?

Customization:

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