Driver Facial Analytics market is anticipated to reach $7.9 billion by 2026 at a CAGR of 13.2% during the forecast period 2021-2026. The systematic computational analysis of data based on a person’s face is characterized as Face Analytics. Biometrics technology, access control, image recognition technology, emotion recognition are just a few of the applications available in face analytics software. The rising relevance of the surveillance sector, increased government investment in face recognition technology, and increasing technical progress across industrial verticals are the main drivers driving the growth of the driver face analytics market. Furthermore, high rates of vehicle crashes or fatalities due to driver carelessness, tiredness or lack of attention, and the rising use of biometrics and image recognition technology to build improved in-vehicle safety systems are all contributing to the market growth of driver face analytics. Hence, these factors will drive Driver Facial Analytics market size in the forecast period 2021-2026.
Report Coverage
The report: “Driver Facial Analytics Market – Forecast (2021-2026)”, by IndustryARC covers an in-depth analysis of the following segments of the Driver Facial Analytics market.
By Offering Type: Hardware (Camera, Integrated Devices, Others), Software
By Technology Type: 2D Face Recognition, 3D Face Recognition
By Application: Biometric Authentication, Image Recognition, Emotion Recognition, Access Control, Others
By End User: Passenger Vehicles, Commercial Vehicles, Rental Vehicle Transport, Others
By Geography: North America (U.S, Canada, Mexico), Europe(Germany, UK, France, Italy, Spain, Russia and Others), APAC(China, Japan India, SK, Aus and Others), South America(Brazil, Argentina and others) and RoW (Middle east and Africa)
Key Takeaways
Technological advancements and trend towards incorporation of advanced driver assistance system propels the market growth.
Driver facial analytics software segment is anticipated to witness significant market growth during 2021-2026 owing to cost efficiency, faster data analysis and others.
China is one of the leading users and exporters of face recognition software. One of the key factors for the growth of the face recognition market in the APAC region is the government’s use of surveillance technology.
Driver Facial Analytics Market share in %, by Geography, 2020
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Driver Facial Analytics Market Segment Analysis- By Offering Type
This market is segmented into hardware and software on the basis of offering type. Software segment is anticipated to witness significant amount of growth with a CAGR of 6.3% in the forecast period 2021-2026. The increasing number of road collisions, as well as the incorporation of modern technologies such as cloud, artificial intelligence, and others for vehicle safety, have contributed to the market growth of driver face analytics software. Adoption of face recognition software is gaining traction in automotive sectors due to benefits such as faster real-time data processing with high accuracy. Furthermore, software is available on a variety of platforms, including the cloud, smartphones, tablets, and associated embedded environments, to undertake biometric authentication, emotion and picture identification of drivers, therefore increasing road and driver safety. For instance, Deep Vision AI provides with the ability to analyze camera streams through different AI-based software modules on a single offers plug-and-play platform, enabling users with real-time alerts and faster responsiveness. Its facial recognition software continuously monitors target zones to provide the identification of individuals over time matching against a watchlist of people of interest with highly accurate rates. Moreover, in April 2020, Advantech, a major mobile platform provider, has announced the release of its AI Facial Recognition Edge SRP (solution-ready package), which focuses on precise facial recognition and highly adaptable online and offline applications. A sophisticated deep learning system is included into the technology, allowing for quick detection and precise performance. Hence, such product launches further is analyzed to boost the market growth in 2021-2026.
Driver Facial Analytics Market Segment Analysis- By Application
By Application, Driver Facial Analytics market is segmented into Biometric Authentication, Image Recognition, Emotion Recognition, Access Control, Others. Biometric Authentication is estimated to hold the highest market share with CAGR 15.1% during the forecast period 2021-2026. Facial recognition through biometric authentication technology help the vehicle owners in maximizing driving safety through voice recognition, iris detection, and many others. Biometric authentication also aids in real-time identification, verification, and scenario analysis, allowing for speedier decision making and the generation of warnings, which is an essential component of its adoption throughout automotive applications. Furthermore, integrating AI and data analytics to improve face analytics with biometrics will aid in long-term industry growth. Advanced biometric modalities, such as behavioral biometrics, palm vein biometrics, and AI-powered biometrics, are gaining momentum in high-end deployments due to the requirement for better accuracy and faster reaction times. AMS AG announced the introduction of a new driver monitoring system for vehicle manufacturers in December 2020, which uses eye tracking and 3D optical sensor technologies. The goal of this work was to generate a comprehensive map of the driver’s head by measuring its location relative to the road, as well as enable driver identification using face recognition. Signs of sleepiness and distracted driving may be easily recognized with this technology, which ensures its interaction with other in-car systems to raise alarms for the driver. Thus, such factors are analyzed to drive the market in the forecast period 2021-2026.
Driver Facial Analytics Market Segment Analysis- By Geography
APAC region is anticipated to witness significant amount of growth with a CAGR of 15.1% in the forecast period 2021-2026. Increased road accidents or fatalities in the region as a result of driver distractions, as well as governmental measures to improve transportation security, are all contributing reasons to market growth in this region. Furthermore, technological advancements such as the incorporation of artificial intelligence, the Internet of Things, and other technologies to improve automotive safety, the growing adoption of security or surveillance cameras on roads to address reports of over speeding and crash incidents, and investments in facial recognition technology to improve ride hailing services over time can all help to fuel market growth in the long run. China is a significant user and supplier of face recognition technology, as the country’s law enforcement agencies, as well as different government agencies, have adopted surveillance technologies. The country now boasts the most extensive public monitoring system in the world. According to Comparitech, China’s CCTV camera population grew from 200 million to 626 million by 2020. In March 2020, India approved the rollout of its Automated Facial Recognition System (AFRS) across the country by early 2021, allowing facial biometrics to be extracted from video and CCTV and matched with the image of individuals’ photos whose identity information is stored in a database by the National Crime Records Bureau, which is under the jurisdiction of the Minister of State for Home Affairs. The Japan Ministry of Economy, Trade, and Industry stated in September 2020 that autonomous buses with a face recognition ticketing system will be tested across the country. Passengers will have their faces scanned and registered as they board the bus, ensuring automated ticket billing from accounts following facial detection. Such advances are expected to boost the market for driver face analytics in the near future.
Driver Facial Analytics Market Drivers
Increasing concerns for safety drives the market growth for Driver Facial Analytics.
In-cabin and exterior monitoring are part of the car’s intelligent driver aid system. The AI-powered face recognition technology uses a driver-facing camera to analyze gestures, facial expressions, body language, and other factors to determine if the driver is paying attention and attentive. Facial recognition has several applications and is making its way into new automobile generations in an effort to improve safety and convenience. Driver-facing cameras are being installed by fleet operators, who can then watch drivers remotely. These technologies may be able to assist you in confirming compliance with safety enhancements and providing first-hand proof in the event of an accident, therefore improving operational safety and securing their vehicles. In August 2019, Uber-owned taxi service, Yandex. Taxi had revealed about its plans of integrating its taxis with facial recognition technology. Such steps were implemented in the hopes of lowering the number of road accidents or fatalities caused by taxi drivers, which would, in turn, have a favorable influence on the growth of driver facial analytics in the long term.
Technological advancements such incorporation of artificial intelligence and others tends to boost the market growth during the forecast period.
One of the key reasons supporting the growth of the driver facial analytics market is the growing trend towards AI-based facial recognition. Didi, the Chinese ride-hailing company, announced intentions in January 2020 to use AI-powered face recognition to provide sleepiness detection for drivers. The use of AI cameras, as well as GPS and accelerometer data from phones, will aid in the detection of potentially risky driving habits. Such developments may assist to fuel the need for driver facial analytics that incorporate artificial intelligence in the long term.
Driver Facial Analytics Market Challenges
Concerns related to security act as a hindering factor for market growth.
Concerns about data exploitation, loss of identification, or mismatched problems, among other things, can have a negative influence on drivers due to the rise of hackers and data hacking events. Facial recognition has piqued the public’s attention for a variety of reasons, but it also draws cybercriminals looking to attack systems. Hackers broke Apple’s iPhone FaceID user authentication in under 120 seconds, according to reports in 2019. This was accomplished during the annual Black Hat hacker event in Las Vegas, which was conducted by security researchers. However, consumers may be taken aback by this breach, which occurred in a matter of seconds. Furthermore, a data breach was revealed in February of last year when the face recognition software supplier Clearview AI was compromised. Such situations will only get stranger in the coming days. As face recognition technology becomes more common, there is a greater need for a strong policy and legislation to govern and protect data privacy and security. As a result, security concerns is one of the key issues impeding the growth of the driver face analytics market.
Driver Facial Analytics Market Landscape
Technology launches, acquisitions, Partnerships and R&D activities are key strategies adopted by players in the Driver Facial Analytics market. In 2020, the market of Driver Facial Analytics industry outlook has been fragmented by several companies. Driver Facial Analytics top 10 companies include
Cognitec Systems GmbH
Panasonic Corporation
NEC Corporation
Ayonix Corporation
Amazon Web Services
Kairos AR Inc.
SightCorp Inc.
Microsoft Corporation
IntelliVision Corp.
Affectiva, among others.
Acquisitions/Technology Launches
In January 2020, FaceFirst announced the availability of its face recognition Software Development Kit (SDK). This enables developers of security and identity verification products to incorporate advanced facial recognition and other video analytics into their solutions with just a few lines of code
In May 2019, IntelliVision Corp. announced about developing a full range of AI and video analytics applications, including facial recognition, which was aimed at embedded mart cameras and IoT devices.
Relevant Report Titles:
Facial Recognition Market – Industry Analysis, Market Size, Share, Trends, Application Analysis, Growth and Forecast 2021 – 2026
Report Code: ITR 26351
Automotive Data Analytics Market – Forecast (2021 – 2026)
Report Code: ITR 0137
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