Global Face Recognition Technology Market Size By Technology (3-D Recognition, 2-D Recognition), By End-User (Government, Healthcare), By Geographic Scope And Forecast

Face Recognition Technology Market Size And Forecast

Face Recognition Technology Market size was valued at USD 4.18 Billion in 2021 and is projected to reach USD 16.07 Billion by 2030, growing at a CAGR of 16.14% from 2022 to 2030.

The major driving factors in the Global Face Recognition Technology Market are the increasing demand for surveillance systems, the high amount of investment in this market by the national defense services for security purposes, and its growing implications in the world of business. The Global Face Recognition Technology Market report provides a holistic evaluation of the market. The report offers a comprehensive analysis of key segments, trends, drivers, restraints, competitive landscape, and factors that are playing a substantial role in the market.

Global Face Recognition Technology Market Definition

Face recognition technology is a method of identifying or verifying a person’s identity by their face. People can be identified in from pictures, videos, or in real-time by using facial recognition technology. Face recognition technology works by comparing the faces of individuals passing by special cameras to photographs of people on a watch list, in addition to unlocking phones. The photographs on the watch lists may be of anyone, and not necessarily only people suspected of any wrongdoing. The images could be retrieved from any place, for example, our social media accounts.

Face recognition technology falls under the category of Biometric Security. Face recognition technology Software tend to operate in the following stepsFace Detection, Face Analysis, Converting Image to Data, and Finding a Match. Face recognition technology is used on the basis of certain algorithms. It can be classified into Geometric, Photo-metric, Human Identification at a distance (HID), and 3-D recognition. Geometric algorithms look at the distinguishing features of the face whereas the photo-metric algorithms convert an image into values and compare the values with template values. HID is where low-resolution images are enhanced by the use of facial hallucination.

3-D recognition is making the use of 3-D sensors to secure information about the face and then using this information to verify and analyze the differentiating traits of the face. Face recognition technology has applications in law enforcement, unlocking phones, finding missing persons, security at airports, border control, improving consumer retail experiences, and attendance tracking among others. Face recognition technology has come a long way since the 1960s when it was invented. Its current applications in security are quickly progressing.

Global Face Recognition Technology Market Overview

Hey, you know how everyone's talking about face recognition tech? Well, one of the big reasons it's getting so popular is because we want more surveillance systems. Think about itwith all the cool tech coming out, it's getting easier to find missing people. Imagine cameras on the streets in smart cities helping to spot someone who's gone missing! Plus, stores can use it to identify shoplifters as soon as they walk in, helping them keep an eye on potential threats. And get this – it's even being used for things like tracking worker and student attendance, making sure everyone's showing up on time and not skipping class!

Imagine casinos using it to keep an eye on registered addicts, with staff getting alerts when it might be time for them to take a break – something that's really tough to do manually in a crowded casino! All these places need facial recognition for surveillance, which is why it's becoming so popular. But it's not just about security anymore. Businesses are using it too! Think about testing reactions to a new snack or a movie trailer to make better ads.

Think about how businesses can use it to make things better for you. Imagine walking up to a store kiosk, and it instantly recognizes you! Based on what you've bought before, it gives you personalized product recommendations. Pretty cool, right? Now, it's not perfect just yet. Sometimes it might misidentify someone, which can be a real problem, especially if it's used for security and mistakes an innocent person for someone on a "wanted" list. But hey, Artificial Intelligence and Machine Learning are getting smarter every day! Researchers are constantly creating new algorithms to make facial recognition more accurate. This technology, called Facial Analytics, uses digital images to identify people.

It allows estimating the age, gender, and BMI of the individual in the photo. In addition, it can also predict longevity, and detect diseases. There is an opportunity for the use of facial recognition technology in Healthcare systems to streamline patient records, help identify certain hereditary diseases, help with patient registrations, to detect pain or other emotions in patients, and to make sure that the patients are taking their prescribed medications and on time. As this technology gets progressively less expensive, there is a lot of scope for its development and further use in the healthcare sector.

Global Face Recognition Technology Market Segmentation Analysis

The Global Face Recognition Technology Market is Segmented on the basis of Technology, End-User, And Geography.

Face Recognition Technology Market, By Technology

• 3-D Recognition• 2-D Recognition• Facial Analytics

Based on Technology, The market is bifurcated into 3-D recognition, 2-D Recognition, and Facial Analytics. 3-D recognition has the largest growth in the market owing to the increasing deployment of this technology in security and surveillance systems. In regions requiring high security such as airports or government buildings, this technology is deployed. For example, Sochi International Airport is using 3-D facial recognition technology developed by Artec Group.

The Broadway 3D Face Recognition System evaluates 40,000 points on an individual’s face in under a second. It is already installed in many Russian Airports and a hospital in Japan. 3-D recognition is preferred over 2-D recognition systems as it can measure the geometry of rigid facial features. It does not have issues with changes in lighting, usage of makeup, and different facial expressions. Facial analytics is an emerging segment in this market.

Face Recognition Technology Market, By End-User

• E-commerce and retail• Media and Entertainment• Government• Healthcare

Based on End-User, The market is bifurcated into E-commerce and retail, Media and Entertainment, Government, and Healthcare. The E-commerce and retail segment is the fastest growing owing to the increase in adoption of facial recognition technology by businesses to improve the consumer purchasing experience and develop better marketing strategies. Retail businesses use facial recognition technology for testing the reactions of the consumers and then developing appropriate marketing strategies.

For example, testing consumer reactions to food items or movie trailers for better and more tailored promotion strategies. Retail businesses also use this technology to improve consumer experiences, for example, a kiosk that recognizes the faces of customers to provide them with accurate product suggestions on the basis of their shopping history, or a kiosk that allows the consumer to pay using their face. This avoids the hassles of staff involvement and the use of numerous hardware.

Face Recognition Technology Market, By Geography

• North America• Europe• Asia Pacific• Rest of the world

On the basis of Geography, The Global Face Recognition Technology Market is classified into North America, Europe, Asia Pacific, and the Rest of the world. North America has the largest market for this technology due to its nationwide implementation in the security and surveillance departments such as defense, justice, homeland security, and other government agencies.

For example, the US Department of Defense and Department of Energy use a system known as Tac ID Guard Dog to monitor the entry and exit of individuals working there. The Department of Homeland Security and the Justice Department use Clearview AI for identifying subjects of criminal investigations. Several countries in the Asia Pacific region are taking up the use of Facial Recognition Technology to enforce security and find missing children.

Key Players

The “Global Face Recognition Technology Market” study report will provide valuable insight with an emphasis on the global market. The major players in the market are Megvii, Clear Secure Inc., Any Vision, iProov, TrueFacet, Sensory Inc., Cognitech Systems GmbH, Kairos, Redrock Biometrics, CaraCom, and among others. The competitive landscape section also includes key development strategies, market share, and market ranking analysis of the above-mentioned players globally.

Key Developments

• In December 2021, CLEAR and Uber Partner to Help Make Travel More Predictable with “Home to Gate” App Integration. CLEAR’s free House to Gate in-app function analyses traffic statistics, security screening wait-times, and terminal walking distance to determine the best time to leave home or hotel and be at the gate on time for take-off. The connection with Uber will enhance that experience even further by allowing users to book an Uber journey in advance with just a tap.

• In November 2020, TrueFace and Modzy have established a partnership to deliver TrueFace’s face recognition and spoof detection capabilities to businesses eager to integrate AI into their ecosystems more rapidly.

• In October 2018, Sensory releases Trulysecure face authentication with 3d camera support, GPU processing, and optional cloud capabilities.

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