Report Detail
Global In-Cabin Automotive AI Market Report, History and Forecast 2017-2028, Breakdown Data by Companies, Key Regions, Types and Application
- RnM4387717 |
- 23 February, 2022 |
- Global |
- 113 Pages |
- QYResearch |
- Service & Software
Summary:
Market Insights
The research report studies the In-Cabin Automotive AI market using different methodologies and analyzes to provide accurate and in-depth information about the market. For a clearer understanding, it is divided into several parts to cover different aspects of the market. Each area is then elaborated to help the reader comprehend the growth potential of each region and its contribution to the global market. The researchers have used primary and secondary methodologies to collate the information in the report. They have also used the same data to generate the current market scenario. This report is aimed at guiding people towards an apprehensive, better, and clearer knowledge of the market.
Due to the COVID-19 pandemic, the global In-Cabin Automotive AI market size is estimated to be worth US$ million in 2021 and is forecast to a readjusted size of US$ million by 2028 with a CAGR of % during the forecast period 2022-2028.
The global main companies of In-Cabin Automotive AI include VISTEON CORPORATION, Ambarella, Eyeris, Seeing Machines Limited, Cipia, Valeo, Faurecia, Robert Bosch GmbH and Hyundai Mobis, etc. In 2021, the global six largest players have a share approximately % in terms of revenue.
The North America In-Cabin Automotive AI market is estimated at US$ million in 2021, while China is forecast to reach US$ million by 2028. The proportion of the China is % in 2021 and it is predicted that the share will reach % in 2028, trailing a CAGR of % through the analysis period 2022-2028. As for the Europe In-Cabin Automotive AI landscape, Germany is projected to reach US$ million by 2028. and in Asia, the notable markets are Japan and South Korea, CAGR is % and % respectively for the next 6-year period.
Occupant Monitoring System accounting for % of the In-Cabin Automotive AI global market in 2021, is projected to value US$ million by 2028, growing at a revised % CAGR from 2022 to 2028. While Fuel Vehicle segment is altered to an % CAGR throughout this forecast period and will hold a share about % in 2028.
Segment Scope
An intensive study of key type and application segments has been done in this segmentation section. The authors of the report have provided reliable figures including revenue forecast data by type and application for the period 2017-2028. They have also studied how the segments are gaining or losing growth in various geographies and their respective countries. Thanks to this study, readers can thoroughly grasp the growth pattern and potential of different segments.
Segment by Type
Occupant Monitoring System
Driver Monitoring System
Conversation Assistance
Smart HVAC
Others
Segment by Application
Fuel Vehicle
Electric Vehicle
Regional Scope
This segment of the report offers a thorough regional study of the global In-Cabin Automotive AI market. Drivers and restraints for each region are broadly examined in the report. Readers will get familiar with the driving forces and challenges that are specific to the regions. The specialists have identified growth opportunities in key geographical regions and their respective countries to aid players to reinforce their presence. All the regions and their countries in the report are assessed based on the growth rate and revenue according to the consumption for the period 2017-2028. This geographical analysis will help readers to gain in-depth knowledge of the regional growth. The key geographical regions surveyed in this research report involve North America, Europe, Asia Pacific, Central and South America, and Middle East and Africa. The report has specifically covered major countries including United States, Canada, Germany, France, U.K., Italy, Russia, China, Japan, South Korea, India, Australia, China Taiwan, Indonesia, Thailand, Malaysia, Mexico, Brazil, Turkey, Saudi Arabia, UAE, etc.
Key Players
This section has provided an exhaustive analysis of the strategies that the companies are focusing on to stay ahead of other players. The strategies mainly involve research and development, new product developments, and mergers and acquisitions. The researchers have also provided revenue shares of the key companies, company overview, and the latest company developments so as to help players to sustain the cutthroat competition. In this section, the report offers global revenue data of manufacturers for the period 2017-2022. Following is the list of key manufacturers observed in this research study:
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
Frequently Asked Questions
Which application segment captured the leading share in the In-Cabin Automotive AI market?
How fragmented is the In-Cabin Automotive AI market?
Which are the key growth drivers in the In-Cabin Automotive AI market?
Which are the top strategies undertaken by the In-Cabin Automotive AI market players?
Which technological trends are likely to affect the In-Cabin Automotive AI market?
What is the expected In-Cabin Automotive AI market size by 2028?
Which companies are dominating the In-Cabin Automotive AI market?
Which region is projected to witness the fastest growth in the future?
What factors are restraining the In-Cabin Automotive AI market growth?
Which are the emerging companies in the In-Cabin Automotive AI market?
Table of Contents
1 Market Overview of In-Cabin Automotive AI
- 1.1 In-Cabin Automotive AI Market Overview
- 1.1.1 In-Cabin Automotive AI Product Scope
- 1.1.2 In-Cabin Automotive AI Market Status and Outlook
- 1.2 Global In-Cabin Automotive AI Market Size Overview by Region 2017 VS 2021 VS 2028
- 1.3 Global In-Cabin Automotive AI Market Size by Region (2017-2028)
- 1.4 Global In-Cabin Automotive AI Historic Market Size by Region (2017-2022)
- 1.5 Global In-Cabin Automotive AI Market Size Forecast by Region (2023-2028)
- 1.6 Key Regions, In-Cabin Automotive AI Market Size (2017-2028)
- 1.6.1 North America In-Cabin Automotive AI Market Size (2017-2028)
- 1.6.2 Europe In-Cabin Automotive AI Market Size (2017-2028)
- 1.6.3 Asia-Pacific In-Cabin Automotive AI Market Size (2017-2028)
- 1.6.4 Latin America In-Cabin Automotive AI Market Size (2017-2028)
- 1.6.5 Middle East & Africa In-Cabin Automotive AI Market Size (2017-2028)
2 In-Cabin Automotive AI Market Overview by Type
- 2.1 Global In-Cabin Automotive AI Market Size by Type: 2017 VS 2021 VS 2028
- 2.2 Global In-Cabin Automotive AI Historic Market Size by Type (2017-2022)
- 2.3 Global In-Cabin Automotive AI Forecasted Market Size by Type (2023-2028)
- 2.4 Occupant Monitoring System
- 2.5 Driver Monitoring System
- 2.6 Conversation Assistance
- 2.7 Smart HVAC
- 2.8 Others
3 In-Cabin Automotive AI Market Overview by Application
- 3.1 Global In-Cabin Automotive AI Market Size by Application: 2017 VS 2021 VS 2028
- 3.2 Global In-Cabin Automotive AI Historic Market Size by Application (2017-2022)
- 3.3 Global In-Cabin Automotive AI Forecasted Market Size by Application (2023-2028)
- 3.4 Fuel Vehicle
- 3.5 Electric Vehicle
4 In-Cabin Automotive AI Competition Analysis by Players
- 4.1 Global In-Cabin Automotive AI Market Size by Players (2017-2022)
- 4.2 Global Top Players by Company Type (Tier 1, Tier 2 and Tier 3) & (based on the Revenue in In-Cabin Automotive AI as of 2021)
- 4.3 Date of Key Players Enter into In-Cabin Automotive AI Market
- 4.4 Global Top Players In-Cabin Automotive AI Headquarters and Area Served
- 4.5 Key Players In-Cabin Automotive AI Product Solution and Service
- 4.6 Competitive Status
- 4.6.1 In-Cabin Automotive AI Market Concentration Rate
- 4.6.2 Mergers & Acquisitions, Expansion Plans
5 Company (Top Players) Profiles and Key Data
- 5.1 VISTEON CORPORATION
- 5.1.1 VISTEON CORPORATION Profile
- 5.1.2 VISTEON CORPORATION Main Business
- 5.1.3 VISTEON CORPORATION In-Cabin Automotive AI Products, Services and Solutions
- 5.1.4 VISTEON CORPORATION In-Cabin Automotive AI Revenue (US$ Million) & (2017-2022)
- 5.1.5 VISTEON CORPORATION Recent Developments
- 5.2 Ambarella
- 5.2.1 Ambarella Profile
- 5.2.2 Ambarella Main Business
- 5.2.3 Ambarella In-Cabin Automotive AI Products, Services and Solutions
- 5.2.4 Ambarella In-Cabin Automotive AI Revenue (US$ Million) & (2017-2022)
- 5.2.5 Ambarella Recent Developments
- 5.3 Eyeris
- 5.3.1 Eyeris Profile
- 5.3.2 Eyeris Main Business
- 5.3.3 Eyeris In-Cabin Automotive AI Products, Services and Solutions
- 5.3.4 Eyeris In-Cabin Automotive AI Revenue (US$ Million) & (2017-2022)
- 5.3.5 Seeing Machines Limited Recent Developments
- 5.4 Seeing Machines Limited
- 5.4.1 Seeing Machines Limited Profile
- 5.4.2 Seeing Machines Limited Main Business
- 5.4.3 Seeing Machines Limited In-Cabin Automotive AI Products, Services and Solutions
- 5.4.4 Seeing Machines Limited In-Cabin Automotive AI Revenue (US$ Million) & (2017-2022)
- 5.4.5 Seeing Machines Limited Recent Developments
- 5.5 Cipia
- 5.5.1 Cipia Profile
- 5.5.2 Cipia Main Business
- 5.5.3 Cipia In-Cabin Automotive AI Products, Services and Solutions
- 5.5.4 Cipia In-Cabin Automotive AI Revenue (US$ Million) & (2017-2022)
- 5.5.5 Cipia Recent Developments
- 5.6 Valeo
- 5.6.1 Valeo Profile
- 5.6.2 Valeo Main Business
- 5.6.3 Valeo In-Cabin Automotive AI Products, Services and Solutions
- 5.6.4 Valeo In-Cabin Automotive AI Revenue (US$ Million) & (2017-2022)
- 5.6.5 Valeo Recent Developments
- 5.7 Faurecia
- 5.7.1 Faurecia Profile
- 5.7.2 Faurecia Main Business
- 5.7.3 Faurecia In-Cabin Automotive AI Products, Services and Solutions
- 5.7.4 Faurecia In-Cabin Automotive AI Revenue (US$ Million) & (2017-2022)
- 5.7.5 Faurecia Recent Developments
- 5.8 Robert Bosch GmbH
- 5.8.1 Robert Bosch GmbH Profile
- 5.8.2 Robert Bosch GmbH Main Business
- 5.8.3 Robert Bosch GmbH In-Cabin Automotive AI Products, Services and Solutions
- 5.8.4 Robert Bosch GmbH In-Cabin Automotive AI Revenue (US$ Million) & (2017-2022)
- 5.8.5 Robert Bosch GmbH Recent Developments
- 5.9 Hyundai Mobis
- 5.9.1 Hyundai Mobis Profile
- 5.9.2 Hyundai Mobis Main Business
- 5.9.3 Hyundai Mobis In-Cabin Automotive AI Products, Services and Solutions
- 5.9.4 Hyundai Mobis In-Cabin Automotive AI Revenue (US$ Million) & (2017-2022)
- 5.9.5 Hyundai Mobis Recent Developments
- 5.10 Denso Corporation
- 5.10.1 Denso Corporation Profile
- 5.10.2 Denso Corporation Main Business
- 5.10.3 Denso Corporation In-Cabin Automotive AI Products, Services and Solutions
- 5.10.4 Denso Corporation In-Cabin Automotive AI Revenue (US$ Million) & (2017-2022)
- 5.10.5 Denso Corporation Recent Developments
- 5.11 NXP Semiconductors N.V.
- 5.11.1 NXP Semiconductors N.V. Profile
- 5.11.2 NXP Semiconductors N.V. Main Business
- 5.11.3 NXP Semiconductors N.V. In-Cabin Automotive AI Products, Services and Solutions
- 5.11.4 NXP Semiconductors N.V. In-Cabin Automotive AI Revenue (US$ Million) & (2017-2022)
- 5.11.5 NXP Semiconductors N.V. Recent Developments
- 5.12 ZF Friedrichshafen AG
- 5.12.1 ZF Friedrichshafen AG Profile
- 5.12.2 ZF Friedrichshafen AG Main Business
- 5.12.3 ZF Friedrichshafen AG In-Cabin Automotive AI Products, Services and Solutions
- 5.12.4 ZF Friedrichshafen AG In-Cabin Automotive AI Revenue (US$ Million) & (2017-2022)
- 5.12.5 ZF Friedrichshafen AG Recent Developments
- 5.13 Aptiv plc
- 5.13.1 Aptiv plc Profile
- 5.13.2 Aptiv plc Main Business
- 5.13.3 Aptiv plc In-Cabin Automotive AI Products, Services and Solutions
- 5.13.4 Aptiv plc In-Cabin Automotive AI Revenue (US$ Million) & (2017-2022)
- 5.13.5 Aptiv plc Recent Developments
- 5.14 QUALCOMM Incorporated
- 5.14.1 QUALCOMM Incorporated Profile
- 5.14.2 QUALCOMM Incorporated Main Business
- 5.14.3 QUALCOMM Incorporated In-Cabin Automotive AI Products, Services and Solutions
- 5.14.4 QUALCOMM Incorporated In-Cabin Automotive AI Revenue (US$ Million) & (2017-2022)
- 5.14.5 QUALCOMM Incorporated Recent Developments
- 5.15 Renesas Electronics Corporation
- 5.15.1 Renesas Electronics Corporation Profile
- 5.15.2 Renesas Electronics Corporation Main Business
- 5.15.3 Renesas Electronics Corporation In-Cabin Automotive AI Products, Services and Solutions
- 5.15.4 Renesas Electronics Corporation In-Cabin Automotive AI Revenue (US$ Million) & (2017-2022)
- 5.15.5 Renesas Electronics Corporation Recent Developments
6 North America
- 6.1 North America In-Cabin Automotive AI Market Size by Country (2017-2028)
- 6.2 United States
- 6.3 Canada
7 Europe
- 7.1 Europe In-Cabin Automotive AI Market Size by Country (2017-2028)
- 7.2 Germany
- 7.3 France
- 7.4 U.K.
- 7.5 Italy
- 7.6 Russia
8 Asia-Pacific
- 8.1 Asia-Pacific In-Cabin Automotive AI Market Size by Region (2017-2028)
- 8.2 China
- 8.3 Japan
- 8.4 South Korea
- 8.5 India
- 8.6 Australia
- 8.7 China Taiwan
- 8.8 Indonesia
9 Latin America
- 9.1 Latin America In-Cabin Automotive AI Market Size by Country (2017-2028)
- 9.2 Mexico
- 9.3 Brazil
- 9.4 Argentina
10 Middle East & Africa
- 10.1 Middle East & Africa In-Cabin Automotive AI Market Size by Country (2017-2028)
- 10.2 Turkey
- 10.3 Saudi Arabia
- 10.4 UAE
11 In-Cabin Automotive AI Market Dynamics
- 11.1 In-Cabin Automotive AI Industry Trends
- 11.2 In-Cabin Automotive AI Market Drivers
- 11.3 In-Cabin Automotive AI Market Challenges
- 11.4 In-Cabin Automotive AI Market Restraints
12 Research Finding /Conclusion
13 Methodology and Data Source
- 13.1 Methodology/Research Approach
- 13.1.1 Research Programs/Design
- 13.1.2 Market Size Estimation
- 13.1.3 Market Breakdown and Data Triangulation
- 13.2 Data Source
- 13.2.1 Secondary Sources
- 13.2.2 Primary Sources
- 13.3 Disclaimer
Summary:
Get latest Market Research Reports on In-Cabin Automotive AI. Industry analysis & Market Report on In-Cabin Automotive AI is a syndicated market report, published as Global In-Cabin Automotive AI Market Report, History and Forecast 2017-2028, Breakdown Data by Companies, Key Regions, Types and Application. It is complete Research Study and Industry Analysis of In-Cabin Automotive AI market, to understand, Market Demand, Growth, trends analysis and Factor Influencing market.
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