Global In-Cabin Automotive AI (Artificial Intelligence)

Global In-Cabin Automotive AI (Artificial Intelligence) Market Research Report: Forecast (2022-2027)

By Application (Occupant Monitoring System, Driver Monitoring System, Conversation Assistance, Smart HVAC), By Product (Radar, Camera, Voice Assistant, Smart Sensor), By Level of Automation (Level 0, Read more

  • Automotive
  • Dec 2021
  • 234
  • AT33009

Market Definition

With growing competition in the automotive industry on delivering more enhanced, safer, and personalized features, the demand for in-cabin AI is dramatically increasing since it is one of the major trends in all future cars. The AI-powered car cabin helps personalize the inside environment and offers a deep understanding of actions happening inside the vehicle to enhance passenger safety & experience. Also, it identifies the state of the passenger, driver, & the entire cabin, which helps drivers in the decision-making process.

Market Insights

The Global In-Cabin Automotive Artificial Intelligence (AI) Market is anticipated to grow at a CAGR of around 40% during the forecast period, i.e., 2022-27. With the mounting trend of self-driving cars and the incorporation of advanced features in most vehicles, the demand for integrating AI in car cabins is astronomically rising.

Report Coverage Details
Study Period Historical Data: 2017-20
Base Year: 2021
Forecast Period: 2022-27
CAGR (2022-27) 40%
Regions Covered North America: The US, Canada, Mexico
Europe: Germany, UK, France, Russia
Asia-Pacific: China, India, Japan, South Korea, and Others
Key Companies Profiled Visteon Corporation Ambarella, Inc. Eyeris Technologies, Inc. Seeing Machines Limited Cipia Vision Ltd. Valeo SA Faurecia SE Robert Bosch GmbH Hyundai Mobis Denso Corporation NXP Semiconductors N.V. ZF Friedrichshafen AG Aptiv PLC Qualcomm Inc. Renesas Electronics Corporation
Unit Denominations USD Million/Billion

 

Nowadays, interiors & inside features have become the most crucial factor for any brand to enhance their brand loyalty and increase their customer base. Therefore, automakers are focusing on offering additional values to their customers by providing an advanced cabin ecosystem.

In-cabin automotive AI solutions can help avoid car accidents caused by human errors. The prime goal of these solutions is customizing the in-cabin environment and adding safety & entertainment features as per the need of drivers & passengers. For instance:

In 2021, Mahindra, an Indian automobile manufacturer launched XUV 700 model with built-in Alexa, voice-enabled window & climate control, find parking, etc. The model also includes AI-based features like Intelligent headlamps, radars, collision avoidance systems, smart door handles, intelligent lane assist systems, auto emergency braking, etc. The existing model has been launched in India with an initial price of USD 17 thousand and extending to USD 31 thousand, which provides In-cabin AI-enabled features to masses in the entry-level to mid-range cars.

Moreover, several distractions like mobile phones can lead to road accidents. According to WHO, people using mobile phones while driving are approximately 4 times more susceptible to road accidents than those who do not. Nevertheless, using in-cabin AI solutions can help enhance safety by identifying drivers' actions and providing assistance while making the right decision.

Impact of Covid-19 on the Global In-Cabin Automotive Artificial Intelligence (AI) Market

In 2020, the Covid-19 pandemic severely impacted the Global In-Cabin Automotive AI Market, mainly due to the disruption in the cross-border trade of automotive components, interruption in large-scale manufacturing, and shut down of assembly plants. It, in turn, placed extreme pressure on the automotive industry, which is already coping with the decline in global demand.

Further, due to the adverse effects on demand & sales in the automotive industry, manufacturers shifted their capital allocation on continuing operations. Hence, the shortage of R&D funding for integrating advanced technologies in vehicles negatively influenced the overall market.

Global In-Cabin Automotive AI (Artificial Intelligence) Market Research Report: Forecast (2022-2027)

Market Segmentation

By Application:

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

Driver Monitoring System Acquired the Largest Share of the In-Cabin Automotive Artificial Intelligence (AI) Market

The driver monitoring system helps improve driver safety by monitoring & analyzing their behavior in real-time and ensuring they are focused on the road. This system integrates sensors, cameras, and other intelligent components to gather information about the driver, which enables safety & assistance functions in the vehicle.

According to WHO, nearly 1.3 million people die every year worldwide due to road traffic crashes. Around 20 to 50 million people suffer non-fatal injuries, which results in disability. The driver monitoring system can also help reduce the risk of accidents by enabling drivers to make sound decisions as per the situation.

Moreover, these systems recognize driver behavior and automatically apply personalized settings to provide a more exclusive in-cabin atmosphere to ensure safety. They also warn the driver when there is a distraction or drowsiness, thereby further aiding their safety. Hence, owing to the aspects cited above, the demand for such systems has been rapidly mounting worldwide.

By Product:

  • Radar
  • Camera
  • Voice Assistant
  • Smart Sensor

Cameras are used extensively for parking assist, lane assist, auto braking, and intelligent headlight adjustments. The monitoring system includes a Charge-Coupled Device (CCD) camera to track the driver's eye. The deployment of the camera can improve driver, passenger, & road safety and allows the vehicle to know the driver’s state of mind & offer assistance as per the requirements.

In addition, cameras in the cabin identify the authenticity of the person sitting on the driver’s seat, which is a beneficial feature in ride-sharing to enhance passenger’s safety. The camera can detect unusual actions and can warn the driver by alarms. It, as a result, allows the driver to take appropriate action on time. Hence, these aspects are leading to the booming demand for cameras, which, in turn, is driving the global market.

Regional Landscape:

  • North America
  • South America
  • Europe
  • Asia-Pacific

Of them all, Europe grabbed a significant share in the Global In-Cabin Automotive AI Market during 2017-21. A high level of AI integration in the automotive industry across countries like Germany, France, and the UK are the prime factors attributing to the regional market growth.

Besides, the mounting demand for advanced technologies and high consumer disposable income across Europe also contributes to the overall market growth. Further, the presence of several luxury automotive brands and the rising trend of autonomous vehicles is also fueling the adoption of In-Cabin Artificial Intelligence in vehicles to offer customers features worth their money & status.

During 2017-21, Volkswagen, one of the largest automotive manufacturers announced to collaborate with Microsoft Azure for the development of AI-powered vehicles. In addition, the company announced to form an independent subsidiary car software to improve the coordination for AI among the Volkswagen group, which includes Audi, Skoda, Lamborghini, Porsche, etc. Hence, with such advancements, Europe has a significant share of the in-cabin automotive AI market.

Market Dynamics:

Key Drivers

  • Increasing demand for personalized customer experience.
  • Burgeoning demand for autonomous vehicles
  • Rising safety concerns associated with car driving

Growth Challenges

  • High cost of installing components like CCD cameras and infrared LED detectors
  • Shortage of proper infrastructure
  • Complex design issues

Key Questions Answered in the Market Research Report:

  1. What are the overall statistics or estimates (Overview, Size- By Value, Forecast Numbers, Segmentation, Shares) of the Global In-Cabin Automotive Artificial Intelligence (AI) Market?
  2. What is the region-wise industry size, growth drivers, and challenges?
  3. What are the key innovations, opportunities, current & future trends, and regulations in the Global In-Cabin Automotive Artificial Intelligence (AI) Market?
  4. Who are the key competitors, their key strengths & weaknesses, and how they perform in the Global In-Cabin Automotive Artificial Intelligence (AI) Market based on a competitive benchmarking matrix?
  5. What are the key results derived from surveys conducted during the Global In-Cabin Automotive Artificial Intelligence (AI) Market study?  

Frequently Asked Questions

A. The Global In-Cabin Automotive Artificial Intelligence Market is projected to grow at a CAGR of around 40% during 2022-27

A. The Driver Monitoring System has the largest market share and is projected to offer remunerative growth opportunities to the leading players in the market.

A. Europe is projected to witness the fastest market growth during 2022-27 and present lucrative growth opportunities to the leading players in the market

A. The mounting demand for autonomous vehicles and increasing road safety concerns are the key factors driving the In-Cabin Automotive Artificial Intelligence (AI) Market during 2022-27.

A. Post-Covid-19 pandemic, the Global In-Cabin Automotive Artificial Intelligence (AI) Market shall grow steadily owing to the resumption of automotive manufacturing units.

  1. Introduction
    1. Research Process
    2. Assumption
    3. Market Segmentation
    4. Market Definition
  2. Executive Summary
  3. Global In Cabin Automotive Artificial Intelligence (AI) Trends & Insights
  4. Global In Cabin Automotive Artificial Intelligence (AI) Dynamics
    1. Growth Drivers
    2. Challenges
    3. Impact Analysis
  5. Global In Cabin Automotive Artificial Intelligence (AI) Value Chain Analysis
  6. Global In Cabin Automotive Artificial Intelligence (AI) Hotspot and Opportunities
  7. Global In Cabin Automotive Artificial Intelligence (AI) Outlook, 2017- 2027F
    1. Market Size and Analysis
      1. By Revenues
    2. Market Share and Analysis
      1. By Application
        1. Occupant Monitoring System
        2. Driver Monitoring System 
        3. Conversation Assistance
        4. Smart HVAC
        5. Others
      2. By Product
        1. Radar
        2. Camera
        3. Voice Assistant
        4. Smart Sensor
        5. Others
      3. By Level of Automation
        1. Level 0
        2. Level 1
        3. Level 2
        4. Level 3
        5. Level 4
        6. Level 5
      4. By Vehicle Price Category
        1. Budget (Up to USD30,000)
        2. Economy (USD30,001 to USD 50,000)
        3. Premium (Above USD50,000)
      5. By Region
        1. North America
        2. South America
        3. Europe
        4. Asia-Pacific
      6. By Company
        1. Competition Characteristics
        2. Revenue Shares
        3. Competitor Placement in MarkNtel Quadrant
  8. North America In Cabin Automotive Artificial Intelligence (AI) Outlook, 2017- 2027F
    1. Market Size and Analysis
      1. By Revenues
    2. Market Share and Analysis
      1. By Application
      2. By Product
      3. By Level of Automation
      4. By Vehicle Price Category
      5. By Country
        1. The US
        2. Canada
        3. Mexico
    3. The US In Cabin Automotive Artificial Intelligence (AI) Outlook, 2017- 2027F
      1. Market Size and Analysis
        1. By Revenues
      2. Market Share and Analysis
        1. By Application
        2. By Product
    4. Canada In Cabin Automotive Artificial Intelligence (AI) Outlook, 2017- 2027F
      1. Market Size and Analysis
        1. By Revenues
      2. Market Share and Analysis
        1. By Application
        2. By Product
    5. Mexico In Cabin Automotive Artificial Intelligence (AI) Outlook, 2017- 2027F
      1. Market Size and Analysis
        1. By Revenues
      2. Market Share and Analysis
        1. By Application
        2. By Product
  9. South America In Cabin Automotive Artificial Intelligence (AI) Outlook, 2017- 2027F
    1. Market Size and Analysis
      1. By Revenues
    2. Market Share and Analysis
      1. By Application
      2. By Product
      3. By Level of Automation
      4. By Vehicle Price Category
  10. Europe In Cabin Automotive Artificial Intelligence (AI) Outlook, 2017- 2027F
    1. Market Size and Analysis
      1. By Revenues
    2. Market Share and Analysis
      1. By Application
      2. By Product
      3. By Level of Automation
      4. By Vehicle Price Category
      5. By Country
        1. Germany
        2. The UK
        3. France
        4. Italy
        5. Rest of Europe
    3. Germany In Cabin Automotive Artificial Intelligence (AI) Outlook, 2017- 2027F
      1. Market Size and Analysis
        1. By Revenues
      2. Market Share and Analysis
        1. By Application
        2. By Product
    4. The UK In Cabin Automotive Artificial Intelligence (AI) Outlook, 2017- 2027F
      1. Market Size and Analysis
        1. By Revenues
      2. Market Share and Analysis
        1. By Application
        2. By Product
    5. France In Cabin Automotive Artificial Intelligence (AI) Outlook, 2017- 2027F
      1. Market Size and Analysis
        1. By Revenues
      2. Market Share and Analysis
        1. By Application
        2. By Product
    6. Italy In Cabin Automotive Artificial Intelligence (AI) Outlook, 2017- 2027F
      1. Market Size and Analysis
        1. By Revenues
      2. Market Share and Analysis
        1. By Application
        2. By Product
  11. Asia-Pacific In Cabin Automotive Artificial Intelligence (AI) Outlook, 2017- 2027F
    1. Market Size and Analysis
      1. By Revenues
    2. Market Share and Analysis
      1. By Application
      2. By Product
      3. By Level of Automation
      4. By Vehicle Price Category
      5. By Country
        1. China
        2. Japan
        3. India
        4. South Korea
        5. Rest of Asia Pacific
    3. China In Cabin Automotive Artificial Intelligence (AI) Outlook, 2017- 2027F
      1. Market Size and Analysis
        1. By Revenues
      2. Market Share and Analysis
        1. By Application
        2. By Product
    4. Japan In Cabin Automotive Artificial Intelligence (AI) Outlook, 2017- 2027F
      1. Market Size and Analysis
        1. By Revenues
      2. Market Share and Analysis
        1. By Application
        2. By Product
    5. India In Cabin Automotive Artificial Intelligence (AI) Outlook, 2017- 2027F
      1. Market Size and Analysis
        1. By Revenues
      2. Market Share and Analysis
        1. By Application
        2. By Product
    6. South Korea In Cabin Automotive Artificial Intelligence (AI) Outlook, 2017- 2027F
      1. Market Size and Analysis
        1. By Revenues
      2. Market Share and Analysis
        1. By Application
        2. By Product
  12. Global In Cabin Automotive Artificial Intelligence (AI) Key Strategic Imperatives for Success and Growth
  13. Competitive Outlook
    1. Competition Matrix
      1. Application Portfolio
      2. Brand Specialization
      3. Target Markets
      4. Target Applications
      5. Research & Development
      6. Strategic Alliances
      7. Strategic Initiatives
    2. Company Profiles (Business Description, Application Segments, Business Segments, Financials, Strategic Alliances/ Partnerships, Future Plans)
      1. Visteon Corporation
      2. Ambarella, Inc.
      3. Eyeris Technologies, Inc.
      4. Seeing Machines Limited
      5. Cipia Vision Ltd.
      6. Valeo SA
      7. Faurecia SE
      8. Robert Bosch GmbH
      9. Hyundai Mobis
      10. Denso Corporation
      11. NXP Semiconductors N.V.
      12. ZF Friedrichshafen AG
      13. Aptiv PLC
      14. Qualcomm Inc.
      15. Renesas Electronics Corporation
  14. Disclaimer