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 t%li%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.
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.
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 t%li%2030]:
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.
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 Wh%li%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?
The technologies in automotive biometric identification have undergone significant change in recent years, with fingerprints t%li%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.
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.
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 t%li%2030]:
- Fingerprint
- Voice
- Iris
- Facial
- Gesture
- Multimodal
- 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
- North America
- United States
- Canada
- Mexico
- Europe
- United Kingdom
- Germany
- France
- Asia Pacific
- Japan
- China
- South Korea
- India
- The Rest of the World
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.
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 Wh%li%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?
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.
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.
