In-Display Fingerprint Sensor Market Growth, and Forecast

Mehta Shreya
5 min readFeb 18, 2022

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The global in-display fingerprint sensor market was valued at USD 863.8 Million in 2019 and is projected to reach USD 4,465.6 Million by 2027, expanding at a CAGR of 23.5% during the forecast period. In terms of volume global in-display fingerprint sensor was valued at 2,05,518 thousand units in 2019 and it is expanding at CAGR of 28.5% during the forecast timeline. Fingerprint recognition is one of the most common biometric techniques in today’s market. Recent smartphones, for example, typically take fingerprint sensors for biometric identification methods. Several methods are employed for detecting fingerprints, such as optical methods, capacitive methods, and ultrasonic methods. The capacitive method is the optimal solution for smartphone and IoT applications due to the low power consumption and compact size of capacitive fingerprint sensors, as they are low-cost and have a small in size. However, most of the previous sensor suffered from a problem of unsteady sensitivity under variable finger conditions (dry finger and wet finger) and a noisy atmosphere that significantly degrades the scanner. Several ideas were proposed to improve image quality by using a local threshold level, adding compensation capacitors, using the suppression of voltage drop, or applying an efficient isolation system.

Market Dynamics

The demand for In-Display Fingerprint Sensors is rising as they are increasing use of in-display fingerprint sensors in smartphones and tablet PCs. Rising disposable income of people has increased the ability to afford expensive sensors- based smartphones. Conversely, High cost of a few display fingerprint sensors and availability of alternatives are expected to restrain the growth of market. Growth in application of capacitive sensors in mobile phones and rising government initiatives toward local manufacturing are creating lucrative opportunities in the market.

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Definitions
Optical Fingerprint Sensors
Optical fingerprint sensors are used to compare and capture fingerprint. Optical fingerprint sensors depend on capturing a picture, an optical image, and the use of algorithms to identify specific patterns on the surface, such as specific lines, by examining the darkest and brightest areas of the image. Unlike smartphone cameras, these sensors can have a higher resolution and finite resolution, which helps provide better information to the sensor enabling it to scan the finger and improve protection. Moreover, these sensors record a much higher contrast image than a standard camera. A big downside with optical scanners is that they are not difficult to fool. Since technology only captures a 2D image, prosthetics and even other images of high quality can be used to trick this particular design. This type of scanner is not safe or trustworthy, for protecting sensitive information; therefore, it has been phased.

Capacitive Fingerprint Sensors
Capacitive fingerprint sensors record fingerprint images by analyzing the difference in capacitance through fingerprint sensors, valleys, and ridges. A capacitive fingerprint sensor comprises a capacitive pixel array, controller, and read circuit. The capacitive pixel array interfaces and captures the fingerprint data and determines the sensor resolution by setting the pitch and cell size. The read circuit uses one of the following methods to transform the capacitance: capacitance-to- voltage, capacitance-to-pulse length, or capacitance-to-frequency. Many read circuits are fitted with an analog-to-digital converter (ADC) to convert the sensing values to digital data to enable the controller to perform post-processing on the data. The capacitors enable the electrical charge to be stored by connecting to conductive plates on the surface of the scanner, which allows the fingerprint details to be tracked. The result of these sensors is non-replicable with any image and difficult to replicate using prosthetics, as different materials record different changes in charge at the capacitor. Thus, such scanners provide superior safety, are fast, and difficult to be fooled.

Regional Outlook

On the basis of regions, the market in Asia Pacific is growing at a high pace and is projected to continue to do so during the forecast period. Market growth is mainly driven by the rapidly growing number of smartphone users across the country. In 2018, the total penetration of smartphones in Asia Pacific was the largest. Moreover, Internet penetration across the entire population is increasing for smartphones. High demand for smartphones is anticipated to fuel the growth of in-display fingerprint sensors worldwide.

Asia Pacific, is followed by North America, in terms of market share. The market in the region is estimated to expand at a considerable CAGR due to the high demand for smartphone with latest technology. This is expected to drive the growth of the in-display fingerprint sensors market in the region.

Competitive Landscape

  • Key players in the global in-display fingerprint sensor market includes Shenzhen Goodix Technology Co., Ltd., Synaptics Incorporated, Japan Display Inc., Fingerprint Cards AB, and Duntai Electronics Co., Ltd. (FocalTech). These companies are considered as key manufacturers of In-Display Fingerprint Sensor, based on their revenue, research & development activities, regional presence, and supply chain management system.
  • The players are adopting key strategies such as acquisition, and geographical expansion where potential opportunity for the In-Display Fingerprint Sensor extraction is added in the company’s capacity.
  • In November 2019, Fingerprint Cards AB announced that its technology has been integrated into 400 different smartphone models. The company is also looking forward to rise the adaption of biometric technologies to better the experience of the user by replacing passwords and pins from smartphones.
  • In August 2019, Shenzhen Goodix Technology Co., Ltd. made an agreement with NXP Semiconductors N.V. which is the Netherland based company. In this agreement Shenzhen Goodix Technology Co., Ltd. has decided to acquire all the assets of Voice and Audio Solutions (VAS) business segment from NXP Semiconductors N.V.

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Mehta Shreya
Mehta Shreya

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