DUBLIN – (BUSINESS WIRE) – Added In-Cabin Automotive AI Market – A Global and Regional Analysis: Focus on Product Types, Applications and Country Assessment – Analysis and Forecast, 2020-2026 report ResearchAndMarkets.com to offer.
The global vehicle interior AI market is projected to reach $ 503.2 million by 2026, with a CAGR of 45.41% over the forecast period 2021-2026.
One of the most successful drivers in promoting customer loyalty is the AI in the booth and the experience that comes with it. Automakers are working with, or looking for, major ecosystem providers to add value to their customers. Improved driving experience and improved safety as well as intelligent assistance in the car are among the advantages that AI-powered cabs offer.
The in-cab experience is usually referred to as an AI-controlled cockpit, but it is beyond the driver’s perspective. In-car experiences encompass the entire user experience, including the driver and passengers, with the aim of enhancing the overall comfort of the in-cabin experience.
This includes the use of AI in intelligent driver assistance programs that improve safety, or in infotainment systems that give the driver instructions and give recommendations to the passengers in the seat.
Automotive AI In The Cabin Market Segmentation By Product
The global market for AI in vehicle interiors has been segmented into products such as cameras, radar, voice assistants and intelligent sensors. Among the various product types, the camera has the highest proportion because the surveillance systems contain a charge coupled device (CCD) camera that can track the driver’s eye and is mounted on the steering column. In an emergency, the system warns the driver with warning tones and flashing lights.
If the driver does not react in time, the vehicle brakes automatically. A driver monitoring system (DMS) uses an infrared light emitting diode (LED) and a camera to monitor the driver for signs of inattentiveness or drowsiness.
In-Cabin AI Market by Application
The global in-cab AI market has been segmented into application driver monitoring system, occupant monitoring system, call assistance, and intelligent HVAC. The driver monitoring system integrates the use of sensors, cameras and other “intelligent” devices to give the driver help, orientation and warning in a variety of critical situations and emergencies. In addition, the increasing number of traffic accidents around the world has become a serious problem for governments due to the reduced attention of drivers.
In-Cabin AI Market by Region
The regions featured in this report include North America, Europe, the United Kingdom, China, Asia Pacific and Japan, South America, and the Middle East and Africa. Europe holds the largest market share in the global market for AI in vehicle interiors.
The economic situation in Europe is favorable and consumers have high disposable incomes, which leads to a high demand for technologies such as AI in the cabin.
Image sensors / cameras, infrared sensors and strain gauges are among the characteristic technologies of the region in connection with AI in vehicle interiors. At the same time, manufacturers want to improve their flexibility along the value chain and thus drive the market for the introduction of AI in the cabin.
The companies portrayed in the report were selected after undergoing in-depth expert interviews and learning about company details such as product portfolios, annual sales, market penetration, research and development initiatives, and national and international presence in the vehicle AI in the cabin market.
Important market participants and overview of the competition
Among the major players in the market are
Vision technologies (cipium)
NXP Semiconductors NV
Renesas Electronics Corporation
Robert Bosch GMBH
Viewing Machines Limited
ZF Friedrichshafen AG
Key questions answered in the report
What areas could a new company entering the market focus on to stay one step ahead of the competition?
How do the existing market participants work to improve their market positioning?
Which promising companies have received financial support to develop their products and markets?
How does the supply chain work in the vehicle AI market for vehicle interiors?
Which product segment is expected to see the maximum growth in demand in the AI cabin vehicle market in 2021-2026?
What are the demand patterns of the Vehicle AI market in the application areas in different regions and countries in the forecast period 2021-2026?
Key topics covered:
1.1 Industry outlook
1.1.1 Trends: Industry dynamics that define future trends Market for AI in vehicle interiors
220.127.116.11 Next-generation vehicle AI in the cabin
18.104.22.168 Growing trend towards the digital cockpit
1.1.2 Market drivers
22.214.171.124 Growing demand for the autonomous vehicle
126.96.36.199 Growing concerns about the safety of passengers and pedestrians are increasing the demand for AI in the cabin
188.8.131.52 OEMs and government regulators are taking the necessary steps to improve transportation by addressing major challenges such as traffic accidents and traffic jams
184.108.40.206 Growing demand for tailored consumer experiences
220.127.116.11 Influence of business drivers
1.1.3 Market Restrictions
18.104.22.168 Infrastructure related challenges
22.214.171.124 Design challenges
126.96.36.199 Effects of Business Restrictions
1.1.4 Market opportunities
188.8.131.52 Increasing demand for HVAC systems in the cockpit
184.108.40.206 Growing demand for occupant protection
220.127.116.11 Impact of Business Opportunities
1.1.5 Major developments and strategies
18.104.22.168 Product developments
22.214.171.124 Market developments
126.96.36.199 Mergers and Acquisitions
188.8.131.52 Partnerships & Joint Ventures
1.2 Analysis of the supply chain
2.1 Global In-Cabin Vehicle AI Market Application and Specification
2.1.1 Occupant Monitoring System
2.1.2 Driver monitoring system
2.1.3 Conversation support
2.1.4 Smart HVAC
2.2 In-Cabin AI Market Demand Analysis (By Application)
2.2.1 Occupant Monitoring System
2.2.2 Driver monitoring system
2.2.3 Conversation support
2.2.4 Smart HVAC
3.1 Global In-Cabin AI Market (By Product)
3.1.3 Voice assistant
3.1.4 Smart sensor
3.2 In-Cabin AI Market Demand Analysis (By Product)
3.2.3 Voice assistant
3.2.4 Smart sensor
4 regional analysis
4.1.1 Buyer Attribute
4.1.2 Main actors
4.1.3 Competitive benchmarking
4.1.4 Business Challenges
4.1.5 Business drivers
5 Markets – Competitive Benchmarking & Company Profiles
5.1 Competitive benchmarking
5.2 Company profiles
5.2.1 Company overview
5.2.2 Business Strategies
5.2.3 Corporate strategies
5.2.4 Competitive Position
6 research methodology
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