Published Year: 2021
Automotive Sensors Market - A Global and Regional Analysis: Focus on Application, Product, and Count
The global automotive sensors market is expected to reach $12.79 billion by 2030, with a CAGR...
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Table of Contents
1.1 Industry Outlook
1.1.1 Trends: Industry Dynamics Defining Future Trends In-Cabin Automotive AI Market
1.1.1.1 Next-Generation In-Cabin Automotive AI
1.1.1.2 Growing Trend for Digital Cockpit
1.1.2 Market Drivers
1.1.2.1 Rising Demand for the Autonomous Vehicle
1.1.2.2 Increasing Concerns of Passenger and Pedestrian Safety Increase the Demand for In-Cabin Automotive AI
1.1.2.3 OEMs and government regulatory authorities are taking necessary steps to improve transportation by addressing major challenges like road accidents and traffic congestion
1.1.2.4 Rising Demand for Customized Consumer Experience
1.1.2.5 Impact of Business Drivers
1.1.3 Market Restraints
1.1.3.1 Challenges Related to Infrastructure
1.1.3.2 Design Challenges
1.1.3.3 Impact of Business Restraints
1.1.4 Market Opportunities
1.1.4.1 Increasing Demand for HVAC Systems in Cockpit
1.1.4.2 Increasing Demand for Occupant Safety and Security
1.1.4.3 Impact of Business Opportunities
1.1.5 Key Developments and Strategies
1.1.5.1 Product Developments
1.1.5.2 Market Developments
1.1.5.3 Mergers & Acquisitions
1.1.5.4 Partnerships & Joint Ventures
1.2 Supply Chain Analysis
2.1 Global In-Cabin Automotive AI Market Application and Specification
2.1.1 Occupant Monitoring System
2.1.2 Driver Monitoring System
2.1.3 Conversation Assistance
2.1.4 Smart HVAC
2.2 Demand Analysis of In-Cabin Automotive AI Market (by Application)
2.2.1 Occupant Monitoring System
2.2.2 Driver Monitoring System
2.2.3 Conversation Assistance
2.2.4 Smart HVAC
3.1 Global In-Cabin Automotive AI Market (by Product)
3.1.1 Radar
3.1.2 Camera
3.1.3 Voice Assistant
3.1.4 Smart Sensor
3.2 Demand Analysis of In-Cabin Automotive AI Market (by Product)
3.2.1 Radar
3.2.2 Camera
3.2.3 Voice Assistant
3.2.4 Smart Sensor
4.1 North America
4.1.1 Market
4.1.1.1 Buyers Attribute
4.1.1.2 Key Players in North America
4.1.1.3 North America: Competitive Benchmarking
4.1.1.4 Business Challenges
4.1.1.5 Business Drivers
4.1.2 Application
4.1.2.1 North America In-Cabin Automotive AI Market (by Application)
4.1.3 Product
4.1.3.1 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 Market
4.1.4.1.1.1 Buyer Attributes
4.1.4.1.1.2 Key Players in the U.S.
4.1.4.1.1.3 Business Challenges
4.1.4.1.1.4 Business Drivers
4.1.4.1.2 Application
4.1.4.1.2.1 U.S. In-Cabin Automotive AI Market (by Application)
4.1.4.1.3 Product
4.1.4.1.3.1 U.S. In-Cabin Automotive AI (by Product Type)
4.1.4.2 Canada
4.1.4.2.1 Market
4.1.4.2.1.1 Buyers Attributes
4.1.4.2.1.2 Key Players in Canada
4.1.4.2.1.3 Business Challenges
4.1.4.2.1.4 Business Drivers
4.1.4.2.2 Application
4.1.4.2.2.1 Canada In-Cabin Automotive AI Market (by Application)
4.1.4.2.3 Product
4.1.4.2.3.1 Canada In-Cabin Automotive AI (by Product Type)
4.1.4.3 Mexico
4.1.4.3.1 Market
4.1.4.3.1.1 Buyers Attributes
4.1.4.3.1.2 Key Players in Mexico
4.1.4.3.1.3 Business Challenges
4.1.4.3.1.4 Business Drivers
4.1.4.3.2 Application
4.1.4.3.2.1 Mexico In-Cabin Automotive AI Market (by Application)
4.1.4.3.3 Product
4.1.4.3.3.1 Mexico In-Cabin Automotive AI (by Product Type)
4.2 Europe
4.2.1 Market
4.2.1.1 Buyers Attributes
4.2.1.2 Key Players in Europe
4.2.1.3 Europe: Competitive Benchmarking
4.2.1.4 Business Challenges
4.2.1.5 Business Drivers
4.2.2 Application
4.2.2.1 Europe In-Cabin Automotive AI Market (by Application)
4.2.3 Product
4.2.3.1 Europe In-Cabin Automotive AI (by Product Type)
4.2.4 Europe (by Country)
4.2.4.1 Germany
4.2.4.1.1 Market
4.2.4.1.1.1 Buyers Attributes
4.2.4.1.1.2 Key players in Germany
4.2.4.1.1.3 Business Challenges
4.2.4.1.1.4 Business Drivers
4.2.4.1.2 Application
4.2.4.1.2.1 Germany In-Cabin Automotive AI Market (by Application)
4.2.4.1.3 Product
4.2.4.1.3.1 Germany In-Cabin Automotive AI (by Product Type)
4.2.4.2 France
4.2.4.2.1 Market
4.2.4.2.1.1 Buyers Attributes
4.2.4.2.1.2 Key Players in France
4.2.4.2.1.3 Business Challenges
4.2.4.2.1.4 Business Drivers
4.2.4.2.2 Application
4.2.4.2.2.1 France In-Cabin Automotive AI Market (by Application)
4.2.4.2.3 Product
4.2.4.2.3.1 France In-Cabin Automotive AI (by Product Type)
4.2.4.3 Spain
4.2.4.3.1 Market
4.2.4.3.1.1 Buyers Attributes
4.2.4.3.1.2 Key Players in Spain
4.2.4.3.1.3 Business Challenges
4.2.4.3.1.4 Business Drivers
4.2.4.3.2 Application
4.2.4.3.2.1 Spain In-Cabin Automotive AI Market (by Application)
4.2.4.3.3 Product
4.2.4.3.3.1 Spain In-Cabin Automotive AI (by Product Type)
4.2.4.4 Rest-of-Europe
4.2.4.4.1 Market
4.2.4.4.1.1 Buyers Attributes
4.2.4.4.1.2 Key players in Rest-of-Europe
4.2.4.4.1.3 Business Challenges
4.2.4.4.1.4 Business Drivers
4.2.4.4.2 Application
4.2.4.4.2.1 Rest-of-Europe In-Cabin Automotive AI Market (by Application)
4.2.4.4.3 Product
4.2.4.4.3.1 Rest-of-Europe In-Cabin Automotive AI (by Product Type)
4.3 U.K.
4.3.1 Market
4.3.1.1 Buyers Attributes
4.3.1.2 Key Players in the U.K.
4.3.1.3 U K: Competitive Benchmarking
4.3.1.4 Business Challenges
4.3.1.5 Business Drivers
4.3.2 Application
4.3.2.1 U.K. In-Cabin Automotive AI Market (by Application)
4.3.3 Product
4.3.3.1 U.K. In-Cabin Automotive AI (by Product Type)
4.4 Rest-of-the-World (RoW)
4.4.1 South America
4.4.1.1 Market
4.4.1.1.1 Buyers Attributes
4.4.1.1.2 Key Players in South America
4.4.1.1.3 Business Challenges
4.4.1.1.4 Business Drivers
4.4.2 Middle East and Africa
4.4.2.1 Market
4.4.2.1.1 Buyers Attributes
4.4.2.1.2 Key Players in Middle East and Africa
4.4.2.1.3 Business Challenges
4.4.2.1.4 Business Drivers
4.4.3 Application
4.4.3.1 Rest-of-the-World In-Cabin Automotive AI Market (by Application)
4.4.4 Product
4.4.4.1 Rest-of-the-World In-Cabin Automotive AI (by Product Type)
4.5 China
4.5.1 Market
4.5.1.1 Buyers Attributes
4.5.1.2 Key Players in China
4.5.1.3 China: Competitive Benchmarking
4.5.1.4 Business Challenges
4.5.1.5 Business Drivers
4.5.2 Application
4.5.2.1 China In-Cabin Automotive AI Market (by Application)
4.5.3 Product
4.5.3.1 China In-Cabin Automotive AI (by Product Type)
4.6 Asia-Pacific and Japan
4.6.1 Market
4.6.1.1 Buyers Attributes
4.6.1.2 Key Players in the Asia-Pacific and Japan
4.6.1.3 Asia-Pacific and Japan: Competitive Benchmarking
4.6.1.4 Business Challenges
4.6.1.5 Business Drivers
4.6.2 Application
4.6.2.1 Asia-Pacific and Japan In-Cabin Automotive AI Market (by Application)
4.6.3 Product
4.6.3.1 Asia-Pacific and Japan In-Cabin Automotive AI (by Product Type)
4.6.4 Asia-Pacific and Japan (by Country)
4.6.4.1 India
4.6.4.1.1 Market
4.6.4.1.1.1 Buyers Attributes
4.6.4.1.1.2 Key Players in India
4.6.4.1.1.3 Business Challenges
4.6.4.1.1.4 Business Drivers
4.6.4.1.2 Application
4.6.4.1.2.1 India In-Cabin Automotive AI Market (by Application)
4.6.4.1.3 Product
4.6.4.1.3.1 India In-Cabin Automotive AI (by Product Type)
4.6.4.2 Japan
4.6.4.2.1 Market
4.6.4.2.1.1 Buyers Attributes
4.6.4.2.1.2 Key Players in Japan
4.6.4.2.1.3 Business Challenges
4.6.4.2.1.4 Business Drivers
4.6.4.2.2 Application
4.6.4.2.2.1 Japan In-Cabin Automotive AI Market (by Application)
4.6.4.2.3 Product
4.6.4.2.3.1 Japan In-Cabin Automotive AI (by Product Type)
4.6.4.3 Australia
4.6.4.3.1 Market
4.6.4.3.1.1 Buyers Attributes
4.6.4.3.1.2 Key Players in Australia
4.6.4.3.1.3 Business Challenges
4.6.4.3.1.4 Business Drivers
4.6.4.3.2 Application
4.6.4.3.2.1 Australia In-Cabin Automotive AI Market (by Application)
4.6.4.3.3 Product
4.6.4.3.3.1 Australia In-Cabin Automotive AI (by Product Type)
4.6.4.4 Rest of Asia-Pacific and Japan
4.6.4.4.1 Market
4.6.4.4.1.1 Buyers Attributes
4.6.4.4.1.2 Key Players in Asia-Pacific and Japan
4.6.4.4.1.3 Business Challenges
4.6.4.4.1.4 Business Drivers
4.6.4.4.2 Application
4.6.4.4.2.1 Rest of Asia-Pacific and Japan In-Cabin Automotive AI Market (by Application)
4.6.4.4.3 Product
4.6.4.4.3.1 Rest of Asia-Pacific and Japan In-Cabin Automotive AI (by Product Type)
5.1 Competitive Benchmarking
5.2 Company Profile
5.2.1 VISTEON CORPORATION
5.2.1.1 Company Overview
5.2.1.1.1 Product Portfolio
5.2.1.2 Business Strategies
5.2.1.2.1 Market Development
5.2.1.3 Corporate Strategies
5.2.1.3.1 Partnership and Collaboration
5.2.1.4 Competitive Position
5.2.1.4.1 Strength of the Company
5.2.1.4.2 Weakness of the Company
5.2.2 Ambarella
5.2.2.1 Company Overview
5.2.2.1.1 Product Portfolio
5.2.2.2 Business Strategies
5.2.2.2.1 Market Development
5.2.2.2.2 Product Development
5.2.2.3 Corporate Strategies
5.2.2.3.1 Partnership and Collaboration
5.2.2.4 Competitive Position
5.2.2.4.1 Strength of the Company
5.2.2.4.2 Weakness of the Company
5.2.3 Eyeris
5.2.3.1 Company Overview
5.2.3.1.1 Product Portfolio
5.2.3.2 Corporate Strategies
5.2.3.2.1 Partnership and Collaboration
5.2.3.3 Competitive Position
5.2.3.3.1 Strength of the Company
5.2.3.3.2 Weakness of the Company
5.2.4 Seeing Machines Limited
5.2.4.1 Company Overview
5.2.4.1.1 Product Portfolio
5.2.4.2 Business Strategies
5.2.4.2.1 Product Development
5.2.4.3 Corporate Strategies
5.2.4.3.1 Partnership and Collaboration
5.2.4.4 Competitive Position
5.2.4.4.1 Strength of the Company
5.2.4.4.2 Weakness of the Company
5.2.5 Eyesight Technologies (Cipia)
5.2.5.1 Company Overview
5.2.5.1.1 Product Portfolio
5.2.5.2 Business Strategies
5.2.5.2.1 Product Development
5.2.5.2.2 Market Development
5.2.5.3 Corporate Strategies
5.2.5.3.1 Partnership and Collaboration
5.2.5.4 Competitive Position
5.2.5.4.1 Strength of the Company
5.2.5.4.2 Weakness of the Company
5.2.6 Valeo
5.2.6.1 Company Overview
5.2.6.1.1 Product Portfolio
5.2.6.2 Business Strategies
5.2.6.2.1 Market Development
5.2.6.3 Competitive Position
5.2.6.3.1 Strength of the Company
5.2.6.3.2 Weakness of the Company
5.2.7 Faurecia
5.2.7.1 Company Overview
5.2.7.1.1 Product Portfolio
5.2.7.2 Business Strategies
5.2.7.2.1 Business Development
5.2.7.3 Corporate Strategies
5.2.7.3.1 Partnership and Collaboration
5.2.7.4 Competitive Position
5.2.7.4.1 Strength of the Company
5.2.7.4.2 Weakness of the Company
5.2.8 Robert Bosch GmbH
5.2.8.1 Company Overview
5.2.8.1.1 Product Portfolio
5.2.8.2 Competitive Position
5.2.8.2.1 Strength of the Company
5.2.8.2.2 Weakness of the Company
5.2.9 Hyundai Mobis
5.2.9.1 Company Overview
5.2.9.1.1 Product Portfolio
5.2.9.2 Business Strategies
5.2.9.2.1 Market Development
5.2.9.2.2 Product Development
5.2.9.3 Corporate Strategies
5.2.9.3.1 Partnership and Collaboration
5.2.9.4 Competitive Position
5.2.9.4.1 Strength of the Company
5.2.9.4.2 Weakness of the Company
5.2.10 Denso Corporation
5.2.10.1 Company Overview
5.2.10.1.1 Product Portfolio
5.2.10.2 Business Strategies
5.2.10.2.1 Market Development
5.2.10.3 Corporate Strategies
5.2.10.3.1 Partnership and Collaboration
5.2.10.4 Competitive Position
5.2.10.4.1 Strength of the Company
5.2.10.4.2 Weakness of the Company
5.2.11 NXP Semiconductors N.V.
5.2.11.1 Company Overview
5.2.11.1.1 Product Portfolio
5.2.11.2 Business Strategies
5.2.11.2.1 Market Development
5.2.11.3 Corporate Strategies
5.2.11.3.1 Partnership and Collaboration
5.2.11.4 Competitive Position
5.2.11.4.1 Strength of the Company
5.2.11.4.2 Weakness of the Company
5.2.12 ZF Friedrichshafen AG
5.2.12.1 Company Overview
5.2.12.1.1 Product Portfolio
5.2.12.2 Business Strategies
5.2.12.2.1 Product Development
5.2.12.3 Corporate Strategies
5.2.12.3.1 Partnership and Collaboration
5.2.12.4 Competitive Position
5.2.12.4.1 Strength of the Company
5.2.12.4.2 Weakness of the Company
5.2.13 Aptiv plc
5.2.13.1 Company Overview
5.2.13.1.1 Product Portfolio
5.2.13.2 Business Strategies
5.2.13.2.1 Product Development
5.2.13.3 Corporate Strategies
5.2.13.3.1 Partnership and Collaboration
5.2.13.4 Competitive Position
5.2.13.4.1 Strength of the Company
5.2.13.4.2 Weakness of the Company
5.2.14 QUALCOMM Incorporated
5.2.14.1 Company Overview
5.2.14.1.1 Product Portfolio
5.2.14.2 Corporate Strategies
5.2.14.2.1 Partnership and Collaboration
5.2.14.3 Competitive Position
5.2.14.3.1 Strength of the Company
5.2.14.3.2 Weakness of the Company
5.2.15 Renesas Electronics Corporation
5.2.15.1 Company Overview
5.2.15.1.1 Product Portfolio
5.2.15.2 Business Strategies
5.2.15.2.1 Market Development
5.2.15.3 Corporate Strategies
5.2.15.3.1 Partnership and Collaboration
5.2.15.4 Competitive Position
5.2.15.4.1 Strength of the Company
5.2.15.4.2 Weakness of the Company
6.1 Data Sourcing
6.1.1 Primary Data Sourcing
6.1.2 Secondary Data Sources
6.2 Data Triangulations
6.3 Market Estimation and Forecast
6.3.1 Factors for Data Prediction and Modeling
Table 1: Global In-Cabin Automotive AI Market (by Product), $Million, 2020-2026
Table 2: North America In-Cabin Automotive AI Market (by Application), $Million, 2020-2026
Table 3: North America In-Cabin Automotive AI Market (by Product Type), $Million, 2020-2026
Table 4: U.S. In-Cabin Automotive AI Market (by Application), $Million, 2020-2026
Table 5: U.S. In-Cabin Automotive AI Market (by Product Type), $Million, 2020-2026
Table 6: Canada In-Cabin Automotive AI Market (by Application), $Million, 2020-2026
Table 7: Canada In-Cabin Automotive AI Market (by Product Type), $Million, 2020-2026
Table 8: Mexico In-Cabin Automotive AI Market (by Application), $Million, 2020-2026
Table 9: Mexico In-Cabin Automotive AI Market (by Product Type), $Million, 2020-2026
Table 10: Europe In-Cabin Automotive AI Market (by Application), $Million, 2020-2026
Table 11: Europe In-Cabin Automotive AI Market (by Product Type), $Million, 2020-2026
Table 12: Germany In-Cabin Automotive AI Market (by Application), $Million, 2020-2026
Table 13: Germany In-Cabin Automotive AI Market (by Product Type), $Million, 2020-2026
Table 14: France In-Cabin Automotive AI Market (by Application), $Million, 2020-2026
Table 15: France In-Cabin Automotive AI Market (by Product Type), $Million, 2020-2026
Table 16: Spain In-Cabin Automotive AI Market (by Application), $Million, 2020-2026
Table 17: Spain In-Cabin Automotive AI Market (by Product Type), $Million, 2020-2026
Table 18: Rest-of-Europe In-Cabin Automotive AI Market (by Application), $Million, 2020-2026
Table 19: Rest-of-Europe In-Cabin Automotive AI Market (by Product Type), $Million, 2020-2026
Table 20: U.K. In-Cabin Automotive AI Market (by Application), $Million, 2020-2026
Table 21: U.K. In-Cabin Automotive AI Market (by Product Type), $Million, 2020-2026
Table 22: Rest-of-the-World In-Cabin Automotive AI Market (by Application), $Million, 2020-2026
Table 23: Rest-of-the-World In-Cabin Automotive AI Market (by Product Type), $Million, 2020-2026
Table 24: China In-Cabin Automotive AI Market (by Application), $Million, 2020-2026
Table 25: China In-Cabin Automotive AI Market (by Product Type), $Million, 2020-2026
Table 26: Asia-Pacific and Japan In-Cabin Automotive AI Market (by Application), $Million, 2020-2026
Table 27: Asia-Pacific and Japan In-Cabin Automotive AI Market (by Product Type), $Million, 2020-2026
Table 28: India In-Cabin Automotive AI Market (by Application), $Million, 2020-2026
Table 29: India In-Cabin Automotive AI Market (by Product Type), $Million, 2020-2026
Table 30: Japan In-Cabin Automotive AI Market (by Application), $Million, 2020-2026
Table 31: Japan In-Cabin Automotive AI Market (by Product Type), $Million, 2020-2026
Table 32: Australia In-Cabin Automotive AI Market (by Application), $Million, 2020-2026
Table 33: Australia In-Cabin Automotive AI Market (by Product Type), $Million, 2020-2026
Table 34: Rest of Asia-Pacific and Japan In-Cabin Automotive AI Market (by Application), $Million, 2020-2026
Table 35: Rest of Asia-Pacific and Japan In-Cabin Automotive AI Market (by Product Type), $Million, 2020-2026
Figure 1: Global In-Cabin Automotive AI Market, $Million, 2020-2026
Figure 2: Global In-Cabin Automotive AI Market (by Application), $Million, 2020-2026
Figure 4: Global In-Cabin Automotive AI Market (by Region), 2020
Figure 5: Global In-Cabin Automotive AI Market Coverage
Figure 6: Mobility Survey, 2020
Figure 7: Key Strategies (by Companies) 2020-2026
Figure 8: Product Developments (by Company), 2018-2020
Figure 9: Market Developments (by Company), 2019-2020
Figure 10: Mergers & Acquisitions (by Company) 2018-2020
Figure 11: Partnerships & Joint Ventures (by Company), 2019-2020
Figure 12: Supply Chain Analysis
Figure 13: Key Stakeholders in the In-Cabin Automotive AI Market
Figure 14: Global In-Cabin Automotive AI Market for Occupant Monitoring System, $Million, 2020-2026
Figure 15: Global In-Cabin Automotive AI Market for Driver Monitoring System, $Million, 2020-2026
Figure 16: Global In-Cabin Automotive AI Market for Conversation Assistance, $Million, 2020-2026
Figure 17: Global In-Cabin Automotive AI Market for Smart HVAC, $Million, 2020-2026
Figure 18: Global In-Cabin Automotive AI Radar Market, $Million, 2020-2026
Figure 19: Global In-Cabin Automotive AI Camera Market, $Million, 2020-2026
Figure 20: Global In-Cabin Automotive AI Voice Assistant Market, $Million, 2020-2026
Figure 21: Global In-Cabin Automotive AI Smart Sensor Market, $Million, 2020-2026
Figure 22: Competitive Benchmarking
Figure 23: North America In-Cabin Automotive AI Market, $Million, 2020-2026
Figure 24: U.S. In-Cabin Automotive AI Market, $Million, 2020-2026
Figure 25: Canada In-Cabin Automotive AI Market, $Million, 2020-2026
Figure 26: Mexico In-Cabin Automotive AI Market, $Million, 2020-2026
Figure 27: Competitive Benchmarking
Figure 28: Europe In-Cabin Automotive AI Market, $Million, 2020-2026
Figure 29: Germany In-Cabin Automotive AI Market, $Million, 2020-2026
Figure 30: France In-Cabin Automotive AI Market, $Million, 2020-2026
Figure 31: Spain In-Cabin Automotive AI Market, $Million, 2020-2026
Figure 32: Rest-of-Europe In-Cabin Automotive AI Market, $Million, 2020-2026
Figure 33: Competitive Benchmarking
Figure 34: U.K. In-Cabin Automotive AI Market, $Million, 2020-2026
Figure 35: Rest-of-the-World In-Cabin Automotive AI Market, $Million, 2020-2026
Figure 36: Competitive Benchmarking
Figure 37: China In-Cabin Automotive AI Market, $Million, 2020-2026
Figure 38: Competitive Benchmarking
Figure 39: Asia-Pacific and Japan In-Cabin Automotive AI Market, $Million, 2020-2026
Figure 40: India In-Cabin Automotive AI Market, $Million, 2020-2026
Figure 41: Japan In-Cabin Automotive AI Market, $Million, 2020-2026
Figure 42: Australia In-Cabin Automotive AI Market, $Million, 2020-2026
Figure 43: Rest of Asia-Pacific and Japan In-Cabin Automotive AI Market, $Million, 2020-2026
Figure 44: Competitive Benchmarking
Figure 45: Data Triangulation
Figure 46: Top-Down and Bottom-Up Approach
Market Report Coverage
|
In-Cabin Automotive AI Market |
|||
|
Base Year |
2020 |
Market Size in 2020 |
$62.0 Million |
|
Forecast Period |
2021-2026 |
Value Projection and Estimation by 2026 |
$503.2 Million |
|
CAGR During Forecast Period |
45.41% |
Number of Tables |
35 |
|
Number of Pages |
140 |
Number of Figures |
46 |
|
Market Segmentation |
• Application: Driver Monitoring System, Occupant Monitoring System, Conversation Assistance, and Smart HVAC • Product: Camera, Radar, Voice Assistant, and Smart Sensor |
||
|
Regional 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 • South America • Middle East and Africa |
||
|
Market 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 Experience |
||
|
Market Challenges |
• Challenges Related to Infrastructure • Design Challenges |
||
|
Market Opportunities |
• Increasing Demand for HVAC Systems in Cockpit • Increasing Demand for Occupant Safety and Security |
||
|
Key Companies Profiled |
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 Corporation |
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How This Report Can Add Value
Product/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?
Report Summary
In-Cabin Automotive AI Market
The 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 Overview
The 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 Segmentation
In-Cabin Automotive AI Market by Product
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.
In-Cabin Automotive AI Market by 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.
In-Cabin Automotive AI Market by Region
The 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 Synopsis
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 Corporation
The 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.
In-Cabin Automotive AI Market - A Global and Regional Analysis
Focus on Product Types, Applications, and Country Assessment - Analysis and Forecast, 2020-2026
Some Faq's
Frequently Asked Questions
The in-cabin automotive AI market was expected to grow at a CAGR of 45.41% during the forecast period from 2021 to 2026.
The opportunities that can boost the growth of the market include increasing demand for HVAC systems in cockpit and increasing demand for occupant safety and security.
Factors driving the growth of the market include rising demand for the autonomous vehicle, increasing concerns of passenger and pedestrian safety increase the demand for in-cabin automotive ai, and rising demand for customized consumer experience.
Applications where in-cabin automotive AI can be used include driver monitoring system, occupant monitoring system, conversation assistance, and smart HVAC.
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 Corporation
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Published Year: 2021
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