Report Overview

Global In-Cabin Automotive AI Market - Industry Trends & Forecast Report, 2029

The global in-cabin automotive AI market was worth USD 63.1 million in 2020 and is further projected to reach USD 731.9 million by the year 2027, growing at the CAGR of 42.0% in the forecast period. The in-cabin automotive AI market is experiencing significant growth worldwide due to the flourishing automotive industry and the growing emphasis on driving comfort and enhancing the driving experience. Furthermore, stringent government regulations regarding driving safety are also influencing the market growth.

Source: BlueWeave Consulting

Global In-Cabin Automotive AI Market- Overview

In-cabin AI and the experience it offers is one of the best ways to promote customer loyalty. A wide range of applications can be offered through an in-cabin automotive AI solution that combines sensors and intelligent algorithms. In simple words, using this system, you can get a complete understanding of what happens inside the vehicle. The in-cabin AI system detects the state of the driver, occupants, and cabin using cameras and sensors. Automobile manufacturers use this information to customize the driver's experience and offer enhanced safety features in automobiles.

Global In-Cabin Automotive AI Market Forecast and Trends

Growth Drivers

Expanding Automobile Manufacturing Operations

The flourishing automobile industry is presenting favorable growth opportunities to the global in-cabin automotive AI market growth. Increasing automotive production is boosting the demand for components used in in-cabin AI systems, thus influencing its market growth. Emerging economies like China, Japan, and South Korea are investing significantly in establishing plants at various locations. Additionally, steps are being taken to install advanced technologies like automotive in-cabins to maximize safety, which is set to boost the growth of the in-cabin automotive AI market.

Favorable Regulatory Policies of Government

In-cabin automotive AI systems are very effective in ensuring the safety of the people inside the vehicle. With the rapid surge in the number of road accidents, governments of several countries are making it mandatory for automobile manufacturers for their products to have in-cabin automotive AI. For instance,Euro NCAP, as well as the European Commission (EC), have already made the use of driver monitoring systems mandatory by 2022. Moreover, the US National transportation safety board recommends that semi-autonomous cars be equipped with driver monitoring systems.

Restraints

Cost Influence of The In-Cabin Automotive AI

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. This acts as a major hindrance to the adoption of 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.

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

In the wake of the COVID-19 pandemic, the global in-cabin automotive AI market has been severely impacted. During the lockdown, all automobile manufacturing operations were halted as a result of social distancing protocols and labor limitations. Furthermore, China is one leading provider of in-cabin automotive AI products. Due to the virus outbreaks in this region and the complete ban on imports and exports of goods from this region, the whole supply chain was disrupted, causing severe losses for the industry players of the in-cabin automotive AI market.

Global In-Cabin Automotive AI Market - By Product

Based on products, the global in-cabin automotive AI market is segmented into radar, camera, voice assistant, and smart sensor. Cameras account for the largest share of the market as they are a crucial element of various AI applications in automotive in-cabin systems. The steering wheel is fitted with a camera for the purpose of tracing the alertness of the driver. When an emergency occurs, it flashes lights and makes sounds to alert the driver. If the driver does not respond, the system automatically applies the brakes. Thus, this system ensures the safety of the driver as well as the vehicle.

Global In-Cabin Automotive AI Market - By Application

Based on applications, the global in-cabin automotive AI market is categorized into the occupant monitoring system, driver monitoring system, conversation assistance, and smartHVAC. Among these, the driver monitoring system accounts for the largest market share. A key feature of the system is assessing the driver's alertness and monitoring their vigilance while driving the vehicle. The driver monitoring system can also gaugedrowsiness or distraction which helps in decreasing the chances of accidents. Therefore, major automobile manufacturers often install this system into their products, which proliferates its market growth.

Global In-Cabin Automotive AI Market - Regional Insights

Geographically, the global in-cabin automotive AI market is segmented into North America, Europe, Asia-Pacific, Latin America, and Middle-East & Africa. Europe holds the largest market share with several luxury car brands that focus on enhancing safety features and the driving experience. Furthermore, the strong economic foothold of Europe and the high disposable income of citizens is also influencing the demand for in-cabin automotive AI technologies, such as image/sensors, cameras, infrared sensing, strain gauges, etc., propelling the overall market growth in this region.

Competitive Landscape

The leading players in the global in-cabin automotive AI market are 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, and other prominent players.

The market is highly fragmented and characterized by the presence of several international and regional players. Various technology companies are also entering the in-cabin automotive AI domain, which is making the market highly competitive. The companies strive to innovate and advance their technology to maintain a competitive edge and serve their customers in the best manner possible. Furthermore, the adoption of competitive strategies, such as mergers, partnerships, collaborations, and acquisitions, is very common in the global in-cabin automotive AI market.

Recent Developments

• In July 2021, Smart Eye (a Swedish high-tech company) and OmniVision (a Chinese developer of advanced digital imaging solutions) announced their partnership to offer end-to-end interior sensing solutions to the automotive industry.

• In July 2021, STMicroelectronics, a French-Italian semiconductor manufacturing company, announced its collaboration with Eyeris, a US-based software company. This collaboration is aimed towards extending ST’s Global-Shutter sensor to in-cabin sensing applications.

Scope of the Report

By Product

• Camera

• Voice Assistant

• Smart Sensor

By Application

• Occupant Monitoring System

• Driver Monitoring System

• Conversation Assistance

• Smart HVAC

By Region

• North America

• Europe

• The Asia-Pacific

• Latin America

• The Middle East & Africa

1. Research Framework
   1. Research Objective
   2. Product Overview
   3. Key Market Segments
2. Research Methodology
   1. Qualitative Research
   2. Methodology
   3. Regional Split of Primary & Secondary Research
   4. Secondary Research
   5. Primary Research
      1. Breakdown of Primary Research Respondents, By Region
      2. Breakdown of Primary Research Respondents, By Industry Participants
   6. Market Size Estimation
   7. Assumptions for the Study
   8. Market Breakdown & Data Triangulation
3. Executive Summary
4. Industry Insight and Growth Strategy
   1. Value Chain Analysis
   2. DROC Analysis
      1. Market Drivers
         1. Expanding Automobile Manufacturing Operations
         2. Favorable Regulatory Policies of Government
      2. Market Restraints
         1. Cost Influence of The In-Cabin Automotive AI
      3. Market Challenges
         1. Negative Influence of the COVID-19 Pandemic
      4. Market Opportunity
         1. Growing Demand for Automotive Vehicles
         2. Advanced Safety Features with In-Cabin Automotive AI
   3. Recent Developments
   4. Porter’s Five Forces Analysis
      1. Bargaining Power of Buyers
      2. Bargaining Power of Suppliers
      3. Intensity of Rivalry
      4. Threat of New Entrants
      5. Threat of Substitutes
5. Global In-Cabin Automotive AI Market Overview
   1. Market Size & Forecast by Value, 2017-2027
   2. Market Size and Forecast, By Segment
      1. By Product
         1. Radar
         2. Camera
         3. Voice Assistant
         4. Smart Sensor
      2. By Application
         1. Occupant Monitoring System
         2. Driver Monitoring System
         3. Conversation Assistance
         4. Smart HVAC
      3. By Region
         1. North America
         2. Europe
         3. Asia-Pacific
         4. Latin America
         5. Middle East & Africa
6. North America In-Cabin Automotive AI Market Overview
   1. Market Size and Forecast
      1. By Value (USDMillion), 2020-2027
   2. Market Share and Forecast
      1. By Product
      2. By Application
      3. By Country
         1. U.S.
         2. Canada
7. Europe In-Cabin Automotive AI Market Overview
   1. Market Size and Forecast
      1. By Value (USDMillion), 2020-2027
   2. Market Share and Forecast
      1. By Product
      2. By Application
      3. By Country
         1. Germany
         2. U.K.
         3. Russia
         4. France
         5. Italy
         6. Spain
         7. Rest of Europe
8. APAC In-Cabin Automotive AI Market Overview
   1. Market Size and Forecast
      1. By Value (USDMillion), 2020-2027
   2. Market Share and Forecast
      1. By Product
      2. By Application
      3. By Country
         1. China
         2. India
         3. Japan
         4. South Korea
         5. Rest of APAC
9. LATAM In-Cabin Automotive AI Market Overview
   1. Market Size and Forecast
      1. By Value (USDMillion), 2020-2027
   2. Market Share and Forecast
      1. By Product
      2. By Application
      3. By Country
         1. Mexico
         2. Brazil
         3. Rest of LATAM
10. MEA In-Cabin Automotive AI Market Overview
    1. Market Size and Forecast
       1. By Value (USDMillion), 2020-2027
    2. Market Share and Forecast
    3. By Product
    4. By Application
    5. By Country
       1. Saudi Arabia
       2. UAE
       3. South Africa
       4. Rest of MEA
11. Competitive Landscape
    1. List of Key Players and Their Offerings
    2. Market Share Analysis (2020)
    3. Competitive Benchmarking By Operating Parameters
12. Impact of COVID-19 on Global In-Cabin Automotive AI Market
13. Company Profiles (Company Overview, Financial Matrix, Key Product landscape, Key Personnel, Key Competitors, Contact Address, and Strategic Outlook) *
    1. Visteon Corporation
    2. Renesas Electronics Corporation
    3. Ambarella
    4. QUALCOMM Incorporated
    5. Seeing Machines Limited
    6. Eyeris
    7. Aptiv plc
    8. ZF Friedrichshafen AG
    9. Eyesight Technologie
    10. NXP Semiconductors N.V.
    11. Valeo
    12. Denso Corporation
    13. Faurecia
    14. Robert Bosch GmbH
    15. Hyundai Mobis
    16. Other Prominent Players
14. Key Strategic Recommendations

List of Figures

Figure 1: Global In-Cabin Automotive AI Market Segmentation

Figure 2: Global In-Cabin Automotive AI Market Value Chain Analysis,

Figure 3: Company Market Share Analysis, 2020

Figure 4: Global In-Cabin Automotive AI Market Size, By Value (USD Million), 2017-2027

Figure 5: Global In-Cabin Automotive AI Market Share (%), By Product, By Value, 2017-2027

Figure 6: Global In-Cabin Automotive AI Market Share (%), By Application, By Value, 2017-2027

Figure 7: Global In-Cabin Automotive AI Market Share (%), By Region, By Value, 2017-2027

Figure 8: North America In-Cabin Automotive AI Market Size, By Value (USD Million), 2017-2027

Figure 9: North America In-Cabin Automotive AI Market Share (%), By Product, By Value, 2017-2027

Figure 10: North America In-Cabin Automotive AI Market Share (%), By Application, By Value, 2017-2027

Figure 11: North America In-Cabin Automotive AI Market Share (%), By Country, By Value, 2017-2027

Figure 12: Europe In-Cabin Automotive AI Market Size, By Value (USD Million), 2017-2027

Figure 13: Europe In-Cabin Automotive AI Market Share (%), By Product, By Value, 2017-2027

Figure 14: Europe In-Cabin Automotive AI Market Share (%), By Application, By Value, 2017-2027

Figure 15: Europe In-Cabin Automotive AI Market Share (%), By Country, By Value, 2017-2027

Figure 16: the Asia-Pacific In-Cabin Automotive AI Market Size, By Value (USD Million), 2017-2027

Figure 17: the Asia-Pacific In-Cabin Automotive AI Market Share (%), By Product, By Value, 2017-2027

Figure 18: the Asia-Pacific In-Cabin Automotive AI MarketShare (%), By Application, By Value, 2017-2027

Figure 19: Asia-Pacific In-Cabin Automotive AI Market Share (%), By Country, By Value, 2017-2027

Figure 20: Latin America In-Cabin Automotive AI Market Size, By Value (USD Million), 2017-2027

Figure 21: Latin America In-Cabin Automotive AI Market Share (%), By Product, By Value, 2017-2027

Figure 22: Latin America In-Cabin Automotive AI Market Share (%), By Application, By Value, 2017-2027

Figure 23: Latin America In-Cabin Automotive AI Market Share (%), By Country, By Value, 2017-2027

Figure 24: Middle East & Africa In-Cabin Automotive AI Market Size, By Value (USD Million), 2017-2027

Figure 25: Middle East & Africa In-Cabin Automotive AI Market Share (%), By Product, By Value, 2017-2027

Figure 26: Middle East & Africa In-Cabin Automotive AI Market Share (%), By Application, By Value, 2017-2027

Figure 27: Middle East & Africa In-Cabin Automotive AI Market Share (%), By Region, By Value, 2017-2027

List of Tables

Table 1: Global In-Cabin Automotive AI Market Size, By Product, By Value, 2017-2027

Table 2: Global In-Cabin Automotive AI Market Size, By Application, By Value (USD Million), 2017-2027

Table 3: Global In-Cabin Automotive AI Market Size, By Region, By Value (USD Million), 2017-2027

Table 4: North America In-Cabin Automotive AI Market Size, By Product, By Value (USD Million), 2017-2027

Table 5: North America In-Cabin Automotive AI Market Size, By Application, By Value (USD Million), 2017-2027

Table 6: North America In-Cabin Automotive AI Market Size, By Country, By Value (USD Million), 2017-2027

Table 7: Europe In-Cabin Automotive AI Market Size, By Product, By Value (USD Million), 2017-2027

Table 8: Europe In-Cabin Automotive AI Market Size, By Application, By Value (USD Million), 2017-2027

Table 9: Europe In-Cabin Automotive AI Market Size, By Country, By Value (USD Million), 2017-2027

Table 10: the Asia-Pacific In-Cabin Automotive AI Market Size, By Product, By Value (USD Million), 2017-2027

Table 11: the Asia-Pacific In-Cabin Automotive AI Market Size, By Application, By Value (USD Million), 2017-2027

Table 12: the Asia-Pacific In-Cabin Automotive AI Market Size, By Country, By Value (USD Million), 2017-2027

Table 13: Latin America In-Cabin Automotive AI Market Size, By Product, By Value (USD Million), 2017-2027

Table 14: Latin America In-Cabin Automotive AI Market Size, By Application, By Value (USD Million), 2017-2027

Table 15: Latin America In-Cabin Automotive AI Market Size, By Country, By Value (USD Million), 2017-2027

Table 16: The Middle-East & Africa In-Cabin Automotive AI Market Size, By Product, By Value (USD Million), 2017-2027

Table 17: The Middle-East & Africa In-Cabin Automotive AI Market Size, By Application, By Value (USD Million), 2017-2027

Table 18: The Middle-East & Africa In-Cabin Automotive AI Market Size, By Country, By Value (USD Million), 2017-2027

Table 19: Visteon Corporation Financial Analysis

Table 20: Visteon Corporation Business Overview

Table 21: Renesas Electronics Corporation Financial Analysis

Table 22: Renesas Electronics CorporationBusiness Overview

Table 23: Ambarella Corporation Financial Analysis

Table 24: Ambarella Corporation Business Overview

Table 25: QUALCOMM IncorporatedFinancial Analysis

Table 26: QUALCOMM IncorporatedBusiness Overview

Table 27: Seeing Machines LimitedFinancial Analysis

Table 28: Seeing Machines LimitedBusiness Overview

Table 29: Eyeris Financial Analysis

Table 30: Eyeris Business Overview

Table 31: Aptiv plc Financial Analysis

Table 32: Aptiv plc Business Overview

Table 33: ZF Friedrichshafen AG Financial Analysis

Table 34:ZF Friedrichshafen AG Business Overview

Table 35: Eyesight TechnologieFinancial Analysis

Table 36: Eyesight TechnologieBusiness Overview

Table 37: NXP Semiconductors N.V.Financial Analysis

Table 38: NXP Semiconductors N.V. Business Overview

Table 39: FaureciaFinancial Analysis

Table 40: Faurecia Financial Analysis

Table 41: ValeoFinancial Analysis

Table 42: Valeo Financial Analysis

Table 43: Robert Bosch GmbHFinancial Analysis

Table 44: Robert Bosch GmbH Financial Analysis

Table 45: Hyundai MobisFinancial Analysis

Table 46: Hyundai Mobis Financial Analysis