Global In-Cabin Automotive AI (Artificial Intelligence) Market Report 2021: Opportunities with Increasing Demand for HVAC Systems & Occupant Safety and Security – Forecast to 2026 – ResearchAndMarkets.com
DUBLIN–(BUSINESS WIRE)–The “In-Cabin Automotive AI Market – A Global and Regional Analysis: Focus on Product Types, Applications, and Country Assessment – Analysis and Forecast, 2020-2026” report has been added to ResearchAndMarkets.com’s offer.
The global in-cab AI market is expected to reach $503.2 million by 2026, growing at a CAGR of 45.41% during the 2021-2026 forecast period.
One of the most successful drivers in driving customer loyalty is in-cab AI and the experience it enables. The automakers are collaborating or seeking to partner with key ecosystem providers to provide additional value to their customers. Improved driver experience and safety, as well as intelligent in-car assistance, are some of the benefits offered by AI-powered cabs.
The in-cab experience is commonly referred to as the AI-powered cockpit, but it goes beyond the driver’s perspective. In-car experiences encompass the entire user experience, including the driver and passengers, with the aim of improving the overall comfort of the in-cab experience.
This includes the application of AI in intelligent driver aids that improve safety or in infotainment systems that instruct the driver and at the same time provide content advice to passengers in the seat.
In-cabin Automotive AI Market Segment by Product:
The global in-cab AI market is segmented on the basis of products, including camera, radar, voice assistant, and smart sensor. Of the various types of products, the camera has the highest share as the surveillance systems include a charge-coupled device (CCD) camera that can track the driver’s eye and is mounted on the steering column. In the event of an emergency, the system warns the driver with warning sounds and flashing lights.
If the driver does not react in time, 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 fatigue.
In-cabin Automotive AI Market Segment By Application:
The global in-cab AI market is segmented on the basis of application driver monitoring system, occupant monitoring system, voice assistant, and smart HVAC. The driver monitoring system integrates the use of sensors, cameras and other ‘intelligent’ equipment to provide the driver with assistance, directions and warnings in a variety of critical situations and emergencies. In addition, the increasing number of road accidents worldwide due to less driver alertness has become a serious concern for governments.
In-cabin Automotive AI Market by Regions:
The regions described in this report include North America, Europe, UK, China, Asia Pacific and Japan, South America, and the Middle East and Africa. Europe has the largest market share in the global AI market for in-cab cars.
The economic situation in Europe is favorable and consumers have high disposable incomes, leading to a high demand for technologies such as in-cab AI.
Image sensing/cameras, infrared sensing and strain gauges are among the region’s signature technologies for in-cab AI. In addition, manufacturers are looking to improve their agility across the value chain, driving the market to adopt AI in the cabin.
The companies profiled in the report were selected after undergoing in-depth interviews with experts and understanding details about companies such as product portfolios, annual revenues, market penetration, research and development initiatives and domestic and international presence in the automotive AI in the cabin market.
Key Market Players and Competitive Overview
Some of the key players in the market are:
Facial technologies (cipium)
NXP Semiconductors NV
Renesas Electronics Corporation
Robert Bosch GMBH
See limited machines
ZF Friedrichshafen AG
Important questions answered in the report
For a new company looking to enter the market, what areas could it focus on to stay ahead of the competition?
How do the existing market players function to improve their market positioning?
Which promising companies have received financial support to develop their products and markets?
How does the supply chain function in the in-cab AI market?
Which product segment is expected to witness the maximum growth in demand in the Automotive AI market during 2021-2026?
What are the demand patterns of the in-cab AI market in the application areas in different regions and countries during the forecast period 2021-2026?
Main topics covered:
1.1 Industry Outlook
1.1.1 Trends: Industry dynamics driving future trends in-cab automotive AI market
184.108.40.206 Next generation AI in the cabin
220.127.116.11 Growing trend for digital cockpit
1.1.2 Market Factors
18.104.22.168 Rising demand for the autonomous vehicle
22.214.171.124 Rising passenger and pedestrian safety concerns Increase demand for in-cab AI
126.96.36.199 OEMs and government regulators are taking necessary steps to improve transportation by addressing major challenges such as road accidents and congestion
188.8.131.52 Rising demand for customized consumer experience
184.108.40.206 Impact of business drivers
1.1.3 Market Restrictions
220.127.116.11 Infrastructure Challenges
18.104.22.168 Design Challenges
22.214.171.124 Impact of business restrictions
1.1.4 Market Opportunities
126.96.36.199 Increasing Demand for HVAC Systems in Cockpit
188.8.131.52 Increasing demand for occupant safety and security
184.108.40.206 Impact of business opportunities
1.1.5 Key developments and strategies
220.127.116.11 Product developments
18.104.22.168 Market developments
22.214.171.124 Mergers and acquisitions
126.96.36.199 Partnerships and joint ventures
1.2 Supply Chain Analysis
2.1 Global In-cab AI Market Application and Specification:
2.1.1 Resident monitoring system
2.1.2 Driver monitoring system
2.1.3 Call assistance
2.1.4 Smart HVAC
2.2 Market Demand Analysis for In-cab AI Market (by Application)
2.2.1 Resident monitoring system
2.2.2 Driver monitoring system
2.2.3 Call Assistance
2.2.4 Smart HVAC
3.1 Global In-cab AI Market (by Product)
3.1.3 Voice assistant
3.1.4 Smart sensor
3.2 Demand analysis of the in-cab AI market (by product)
3.2.3 Voice assistant
3.2.4 Smart sensor
4 Regional analysis
4.1.1 Buyer’s reference:
4.1.2 Key players
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 Business strategies
5.2.4 Competitive position
6 Research methodology
For more information about this report, visit https://www.researchandmarkets.com/r/q9hk0q