Global In-Cabin Automotive AI Market Overview 

The Global In-Cabin Automotive AI Market size is estimated to reach $694.1 Million by 2026, growing at a CAGR of 46% over the forecast period of 2021-2026. Automotive AI is an in-car sensing solution that gives you a deeper understanding of what's happening in your car. The software uses strategically placed cameras to recognize driver status, occupant status, and cabin status. This insight will help automakers improve safety features that meet Euro NCAP requirements and provide a more comfortable and personalized transportation experience.

Impact of COVID-19 on In-Cabin Automotive AI Market

The COVID 19 pandemic has severely affected the global market for AI in automotive cabins. All vehicle production was shut down during the blockade due to social distance protocols and work restrictions. In addition, China is one of the leading suppliers of AI products for in-room vehicles. The virus outbreak in the region and the total ban on the import and export of goods from the region disrupted the entire supply chain. It caused great losses to industry players in the in-cabin automotive AI market.

Key Takeaways from Global In-Cabin Automotive AI Market Report:

• Evaluate market potential through analyzing growth rates (CAGR %), Volume (Units), and Value ($M) data given at country level – for products, applications and by different industry verticals. Understand the different dynamics influencing the market – key driving factors, challenges, and hidden opportunities.
• Get in-depth insights on your competitor's performance – market shares, strategies, financial benchmarking, product benchmarking, SWOT and more.
• Analyze the sales and distribution channels across key geographies to improve top-line revenues.
• Understand the industry supply chain with a deep dive on the value augmentation at each step to optimize value and bring efficiencies in your processes. 
• Get a quick outlook on the market entropy – M&As, deals, partnerships, product launches of all key players for the past 4 years. 
• Evaluate the supply-demand gaps, import-export statistics and regulatory landscape for more than the top 20 countries globally for the market.

By Applications, the market for Camera is estimated to grow at the highest CAGR during the forecast period.

Based on Applications, Global In-Cabin Automotive AI Market is segmented into radar, Camera, voice assistant, and smart sensor. Cameras have the largest market share as they are an important element of various AI applications in in-car cabin systems. The steering wheel is equipped with a camera to track the driver's attention. In an emergency, the lights will flash, and you will hear a beeping sound to alert the driver. If the driver does not respond, the system will automatically apply the brakes. Therefore, this system ensures the safety of both the driver and the vehicle. It is also the fastest-growing, with a CAGR of 43.1%.

The Asia Pacific to account for the largest market share during the forecast period

Europe dominated the Global In-Cabin Automotive AI Market with a share of 34.9% in 2020. Due to the favorable economic situation in Europe and the high disposable income of consumers, the demand for technologies such as in-cabin automotive AI is increasing. Image sensors/cameras, infrared sensors and strain gauges are some of the region's unique technologies related to in-car AI. At the same time, manufacturers want to increase flexibility along the value chain and drive the market towards deploying AI in the passenger compartment. 

However, Asia Pacific is the fastest-growing over 2021-2026. It is owing to the increasing number of investments in developing nations such as China, India and Japan.

Market Dynamics

Driver: 

Expansion of Automobile Manufacturing Operations drives the market demand

The thriving automotive industry offers favorable growth opportunities for the global growth of the in-cabin automotive AI market. Increased vehicle production will increase demand for components of in-cabin AI systems and impact market growth. Emerging countries such as China, Japan and South Korea investing heavily to build plants in different locations. In addition, measures have been taken to introduce advanced technologies such as in-car to maximize safety, which is expected to support the AI ​​in-car market's growth.

Challenge:

Cost Influence set to limit the market growth.

The in-cabin automotive AI involves various components, such as infrared LED detectors, CCD cameras, etc. The driver monitoring system also uses flashlights and warning sounds to alert the drivers. These are extremely advanced components, the installation of which ultimately will increase the price of the final product. It acts as a major hindrance to adopting the in-cabin automotive AI market. Moreover, the high price of this vehicle restricts its adoption to the top luxury brands such as BMW, Lexus, Cadillac, etc.

Key Market Players

Key Players in Global In-Cabin Automotive AI Market consist of Visteon Corporation, Renesas Electronics Corporation, Ambarella, QUALCOMM Incorporated, Seeing Machines Limited, Eyeris, Aptiv plc, ZF Friedrichshafen AG, Eyesight Technologie, NXP Semiconductors N.V., Valeo, Denso Corporation, Faurecia, Robert Bosch GmbH, Hyundai Mobis, among others.

Developments

In July 2021, Smart Eye (a Swedish high-tech company) and OmniVision (a developer of advanced digital imaging solutions in China) have announced a partnership to provide the automotive industry with end-to-end indoor sensor solutions.

Report Coverage and Scope

The report "Global In-Cabin Automotive AI Market" by Research Informatic covers an in-depth detailed analysis for the following segment, covered under the scope.

By Products

• Radar
• Camera
• Voice Assistant
• Smart Sensor

By Applications

• Occupant Monitoring Systems
• Driver Monitoring System
• Conversation Assistance
• Smart HVAC 

Geography

• North America
• Europe
• APAC
• RoW

Chapter 1 In-Cabin Automotive AI Market Overview

1.1 Product Overview and Scope of In-Cabin Automotive AI

1.2 In-Cabin Automotive AI Market Segmentation By Product Type

1.2.1 Radar

1.2.2 Camera

1.2.3 Voice Assistant

1.2.4 Smart Sensor

1.3 In-Cabin Automotive AI Market Segmentation By End User

1.3.1 Occupant Monitoring Systems

1.3.2 Driver Monitoring System

1.3.3 Conversation Assistance

1.3.4 Smart HVAC

1.4 In-Cabin Automotive AI Market Segmentation by Regions

1.4.1 North America

1.4.2 China

1.4.3 Europe

1.4.4 Southeast Asia

1.4.5 Japan

1.4.6 India

1.5 Global Market Size (Value) of In-Cabin Automotive AI (2015-2027)

Chapter 2 Global Economic Impact on In-Cabin Automotive AI Industry

2.1 Global Macroeconomic Environment Analysis

2.1.1 Global Macroeconomic Analysis

2.1.2 Global Macroeconomic Environment Development Trend

2.2 Global Macroeconomic Environment Analysis by Regions

Chapter 3 Global In-Cabin Automotive AI Market Competition by Manufacturers

3.1 Global In-Cabin Automotive AI Production and Share by Manufacturers (2021 and 2021)

3.2 Global In-Cabin Automotive AI Revenue and Share by Manufacturers (2021 and 2021)

3.3 Global In-Cabin Automotive AI Average Price by Manufacturers (2021 and 2021)

3.4 Manufacturers In-Cabin Automotive AI Manufacturing Base Distribution, Production Area and Product Type

3.5 In-Cabin Automotive AI Market Competitive Situation and Trends

3.5.1 In-Cabin Automotive AI Market Concentration Rate

3.5.2 In-Cabin Automotive AI Market Share of Top 3 and Top 5 Manufacturers

3.5.3 Mergers & Acquisitions, Expansion

Chapter 4 Global In-Cabin Automotive AI Production, Revenue (Value) by Region (2015-2021)

4.1 Global In-Cabin Automotive AI Production by Region (2015-2021)

4.2 Global In-Cabin Automotive AI Production Market Share by Region (2015-2021)

4.3 Global In-Cabin Automotive AI Revenue (Value) and Market Share by Region (2015-2021)

4.4 Global In-Cabin Automotive AI Production, Revenue, Price and Gross Margin (2015-2021)

4.5 North America In-Cabin Automotive AI Production, Revenue, Price and Gross Margin (2015-2021)

4.6 Europe In-Cabin Automotive AI Production, Revenue, Price and Gross Margin (2015-2021)

4.7 China In-Cabin Automotive AI Production, Revenue, Price and Gross Margin (2015-2021)

4.8 Japan In-Cabin Automotive AI Production, Revenue, Price and Gross Margin (2015-2021)

4.9 Southeast Asia In-Cabin Automotive AI Production, Revenue, Price and Gross Margin (2015-2021)

4.10 India In-Cabin Automotive AI Production, Revenue, Price and Gross Margin (2015-2021)

Chapter 5 Global In-Cabin Automotive AI Supply (Production), Consumption, Export, Import by Regions (2015-2021)

5.1 Global In-Cabin Automotive AI Consumption by Regions (2015-2021)

5.2 North America In-Cabin Automotive AI Production, Consumption, Export, Import by Regions (2015-2021)

5.3 Europe In-Cabin Automotive AI Production, Consumption, Export, Import by Regions (2015-2021)

5.4 China In-Cabin Automotive AI Production, Consumption, Export, Import by Regions (2015-2021)

5.5 Japan In-Cabin Automotive AI Production, Consumption, Export, Import by Regions (2015-2021)

5.6 Southeast Asia In-Cabin Automotive AI Production, Consumption, Export, Import by Regions (2015-2021)

5.7 India In-Cabin Automotive AI Production, Consumption, Export, Import by Regions (2015-2021)

Chapter 6 Global In-Cabin Automotive AI Production, Revenue (Value), Price Trend by Type

6.1 Global In-Cabin Automotive AI Production and Market Share by Type (2015-2021)

6.2 Global In-Cabin Automotive AI Revenue and Market Share by Type (2015-2021)

6.3 Global In-Cabin Automotive AI Price by Type (2015-2021)

6.4 Global In-Cabin Automotive AI Production Growth by Type (2015-2021)

Chapter 7 Global In-Cabin Automotive AI Market Analysis by Application

7.1 Global In-Cabin Automotive AI Consumption and Market Share by Application (2015-2021)

7.2 Global In-Cabin Automotive AI Consumption Growth Rate by Application (2015-2021)

7.3 Market Drivers and Opportunities

7.3.1 Potential Applications

7.3.2 Emerging Markets/Countries

Chapter 8 In-Cabin Automotive AI Manufacturing Cost Analysis

8.1 In-Cabin Automotive AI Key Raw Materials Analysis

8.1.1 Key Raw Materials

8.1.2 Price Trend of Key Raw Materials

8.1.3 Key Suppliers of Raw Materials

8.1.4 Market Concentration Rate of Raw Materials

8.2 Proportion of Manufacturing Cost Structure

8.2.1 Raw Materials

8.2.2 Labour Cost

8.2.3 Manufacturing Expenses

8.3 Manufacturing Process Analysis of In-Cabin Automotive AI 

Chapter 9 Industrial Chain, Sourcing Strategy and Downstream Buyers

9.1 In-Cabin Automotive AI Industrial Chain Analysis

9.2 Upstream Raw Materials Sourcing

9.3 Raw Materials Sources of In-Cabin Automotive AI Major Manufacturers in 2021

9.4 Downstream Buyers

Chapter 10 Marketing Strategy Analysis, Distributors/Traders

10.1 Marketing Channel

10.1.1 Direct Marketing

10.1.2 Indirect Marketing

10.1.3 Marketing Channel Development Trend

10.2 Market Positioning

10.2.1 Pricing Strategy

10.2.2 Brand Strategy

10.2.3 Target Client

10.3 Distributors/Traders List

Chapter 11 Market Effect Factors Analysis

11.1 Technology Progress/Risk

11.1.1 Substitutes Threat

11.1.2 Technology Progress in Related Industry

11.2 Consumer Needs/Customer Preference Change

11.3 Economic/Political Environmental Change

Chapter 12 Global In-Cabin Automotive AI Market Forecast (2021-2027)

12.1 Global In-Cabin Automotive AI Production, Revenue Forecast (2021-2027)

12.2 Global In-Cabin Automotive AI Production, Consumption Forecast by Regions (2021-2027)

12.3 Global In-Cabin Automotive AI Production Forecast by Type (2021-2027)

12.4 Global In-Cabin Automotive AI Consumption Forecast by Application (2021-2027)

12.5 In-Cabin Automotive AI Price Forecast (2021-2027)

Chapter 13 Appendix