Technology Landscape, Trends and Opportunities in the Global Automotive Biometric Identification Market

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The technologies in automotive biometric identification have undergone significant change in recent years, with fingerprints to facial recognition. The rising wave of new technologies, such as finger vein recognition using pattern-recognition, and eye ball recognitions technologies are creating significant potential for automotive biometric identification in various vehicle platforms as it provides vehicle identification and authentication for various applications including vehicular access, ignition switch, vehicle immobilizer, rationalization, and health monitoring.

In this market, various technologies such as fingerprint, voice, iris, facial, gesture, and multimodal are used in passenger cars, light commercial vehicles, and heavy commercial vehicles. The growing focus on the development of autonomous vehicles, rising demand for vehicle safety and security, and rising adoption of advanced technologies, such as artificial intelligence and cloud connectivity in vehicles are creating opportunities for various automotive biometric identification technologies.

Some of the latest technological developments by various countries in the automotive biometric identification market are as follows:

United States: Continental, a major automotive parts supplier, announced plans to integrate facial recognition for driver identification and in-vehicle payment systems. This technology aims to enhance security and convenience for future car models.
South Korea: Hyundai Mobis, a South Korean automotive parts manufacturer, joined forces with LG Innotek to develop a new fingerprint recognition module specifically designed for cars. This collaboration signifies advancements in fingerprint sensor technology for automotive applications.
Germany: The German government has initiated a pilot program to test in-vehicle iris recognition systems. This program explores the use of iris scanners for driver identification and payment authorization, potentially offering a high level of security.
China: Alibaba, a Chinese tech giant, revealed plans to create a multimodal biometric identification system for its autonomous vehicles. This system would combine facial, voice, and fingerprint recognition for enhanced security and personalized experiences within self-driving cars.

This report analyzes technology maturity, degree of disruption, competitive intensity, market potential, and other parameters of various technologies in the automotive biometric identification market. Some insights are depicted below by a sample figure. For more details on figures, the companies researched, and other objectives/benefits on this research report, please download the report brochure.

Automotive Biometric Identification Technology Market

Automotive Biometric Identification Technology Segments

Automotive Biometric Identification Technology Heat Map

The study includes technology readiness, competitive intensity, regulatory compliance, disruption potential, trends, forecasts and strategic implications for the global automotive biometric identification technology by application, technology, and region as follows:

Technology Readiness by Technology Type

Competitive Intensity and Regulatory Compliance

Disruption Potential by Technology Type

Trends and Forecasts by Technology Type [$M shipment analysis from 2018 to 2030]:

Fingerprint
Voice
Iris
Facial
Gesture
Multimodal

Technology Trends and Forecasts by Application [$M shipment analysis from 2018 to 2030]:

Passenger Cars
- Fingerprint
- Voice
- Iris
- Facial
- Gesture
- Multimodal
Light Commercial Vehicles
- Fingerprint
- Voice
- Iris
- Facial
- Gesture
- Multimodal
Heavy Commercial Vehicles
- Fingerprint
- Voice
- Iris
- Facial
- Gesture
- Multimodal

Technology Trends and Forecasts by Region [$M shipment analysis for 2018 to 2030]:

North America
- United States
- Canada
- Mexico
Europe
- United Kingdom
- Germany
- France
Asia Pacific
- Japan
- China
- South Korea
- India
The Rest of the World

Latest Developments and Innovations in the Automotive Biometric Identification Technologies

Companies / Ecosystems

Strategic Opportunities by Technology Type

Some of the automotive biometric identification companies profiled in this report include Continental, Robert Bosch, Fujitsu, OSRAM Licht, Synaptics Incorporated, Precise Biometrics, Nuance Communications, Fingerprints Cards.

Below are the latest technological developments from top companies in the automotive biometric identification market:

Continental announced a partnership with NXP Semiconductors to develop next-generation in-cabin fingerprint sensor solutions for enhanced driver identification and personalized vehicle settings.
Amazon acquired voice recognition startup Cerence for $3.4 billion, aiming to strengthen its voice assistant technology, Alexa, for potential integration in future autonomous vehicles.
Nuance partnered with BMW to integrate its Dragon Drive voice assistant technology into BMW's next-generation vehicles, offering natural language interaction for in-car controls.
Intel's Mobileye division announced its plans to invest $100 million to expand its facial recognition technology for driver monitoring systems, aiming to improve safety features like fatigue detection and driver alertness.
MediaTek unveiled its new automotive in-cabin gesture control technology, GestureTek. GestureTek allows for intuitive control of infotainment systems and other in-car functions through hand and finger gestures.
NXP announced the launch of its new EdgeVerse biometric authentication platform. EdgeVerse combines fingerprint, facial, and iris recognition for a multimodal approach to secure driver identification and vehicle access.
Bosch showcased its multimodal biometric authentication system concept. This system combines fingerprint, voice, and facial recognition for a layered security approach in future autonomous vehicles.

This report answers following 9 key questions:
Q.1 What are some of the most promising and high-growth technology opportunities for the automotive biometric identification market?
Q.2 Which technology will grow at a faster pace and why?
Q.3 What are the key factors affecting dynamics of different technologies? What are the drivers and challenges of these technologies in automotive biometric identification market?
Q.4 What are the levels of technology readiness, competitive intensity and regulatory compliance in this technology space?
Q.5 What are the new technology developments in automotive biometric identification market? Which companies are leading these developments?
Q.6 What are the latest developments in automotive biometric identification technologies? Which companies are leading these developments?
Q.7 Which technologies have potential of disruption in this market?
Q.8 Who are the major players in this automotive biometric identification market? What strategic initiatives are being implemented by key players for business growth?
Q.9 What are strategic growth opportunities in this automotive biometric identification technology space?

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Table of Contents

1. Executive Summary

2. Technology Landscape

2.1. Technology Background and Evolution

2.2. Technology and Application Mapping

2.3. Supply Chain

3. Technology Readiness

3.1. Technology Commercialization and Readiness

3.2. Drivers and Challenges in Automotive Biometric Identification Technologies

3.3. Competitive Intensity

3.4. Regulatory Compliance

4. Technology Trends and Forecasts Analysis from 2018-2030

4.1. Automotive Biometric Identification Opportunity

4.2. Technology Trends (2018-2023) and Forecasts (2024-2030)

4.2.1. Fingerprint

4.2.2. Voice

4.2.3. Iris

4.2.4. Facial

4.2.5. Gesture

4.2.6. Multimodal

4.3. Technology Trends (2018-2023) and Forecasts (2024-2030) by Application Segments

4.3.1. Passenger Cars

4.3.1.1. Fingerprint

4.3.1.2. Voice

4.3.1.3. Iris

4.3.1.4. Facial

4.3.1.5. Gesture

4.3.1.6. Multimodal

4.3.2. Light Commercial Vehicles

4.3.2.1. Fingerprint

4.3.2.2. Voice

4.3.2.3. Iris

4.3.2.4. Facial

4.3.2.5. Gesture

4.3.2.6. Multimodal

4.3.3. Heavy Commercial Vehicles

4.3.3.1. Fingerprint

4.3.3.2. Voice

4.3.3.3. Iris

4.3.3.4. Facial

4.3.3.5. Gesture

4.3.3.6. Multimodal

5. Technology Opportunities (2018-2030) by Region

5.1. Automotive Biometric Identification Market by Region

5.2. North American Automotive Biometric Identification Technology Market

5.2.1. United States Automotive Biometric Identification Technology Market

5.2.2. Canadian Automotive Biometric Identification Technology Market

5.2.3. Mexican Automotive Biometric Identification Technology Market

5.3. European Automotive Biometric Identification Technology Market

5.3.1. The United Kingdom Automotive Biometric Identification Technology Market

5.3.2. German Automotive Biometric Identification Technology Market

5.3.3. French Automotive Biometric Identification Technology Market

5.4. APAC Automotive Biometric Identification Technology Market

5.4.1. Chinese Automotive Biometric Identification Technology Market

5.4.2. Japanese Automotive Biometric Identification Technology Market

5.4.3. Indian Automotive Biometric Identification Technology Market

5.4.4. South Korean Automotive Biometric Identification Technology Market

5.5. ROW Automotive Biometric Identification Technology Market

6. Latest Developments and Innovations in the Automotive Biometric Identification Technologies

7. Companies / Ecosystem

7.1. Product Portfolio Analysis

7.2. Market Share Analysis

7.3. Geographical Reach

8. Strategic Implications

8.1. Implications

8.2. Growth Opportunity Analysis

8.2.1. Growth Opportunities for the Automotive Biometric Identification Market by Technology

8.2.2. Growth Opportunities for the Automotive Biometric Identification Market by Application

8.2.3. Growth Opportunities for the Automotive Biometric Identification Market by Region

8.3. Emerging Trends in the Automotive Biometric Identification Market

8.4. Disruption Potential

8.5. Strategic Analysis

8.5.1. New Product Development

8.5.2. Capacity Expansion of the Automotive Biometric Identification Market

8.5.3. Mergers, Acquisitions, and Joint Ventures in the Automotive Biometric Identification Market

9. Company Profiles of Leading Players

9.1. Continental

9.2. Robert Bosch

9.3. Fujitsu

9.4. OSRAM Licht

9.5. Synaptics Incorporated

9.6. Precise Biometrics

9.7. Nuance Communications

9.8. Fingerprints Cards

9.9. Methode Electronics, Inc.

9.10 .Safran S.A.

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Lucintel has been in the business of market research and management consulting since 2000 and has published over 1000 market intelligence reports in various markets / applications and served over 1,000 clients worldwide. This study is a culmination of four months of full-time effort performed by Lucintel's analyst team. The analysts used the following sources for the creation and completion of this valuable report:

In-depth interviews of the major players in this market
Detailed secondary research from competitors’ financial statements and published data
Extensive searches of published works, market, and database information pertaining to industry news, company press releases, and customer intentions
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Extensive research and interviews are conducted across the supply chain of this market to estimate market share, market size, trends, drivers, challenges, and forecasts. Below is a brief summary of the primary interviews that were conducted by job function for this report.

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