Image Sensor Market Size, Share, Growth Analysis, By Technology(Front Side Illuminated (FSI) Image Sensor, Back Side Illuminated (BSI) Image Sensor, Contact Image Sensor (CIS), Charge-coupled device (CCD) Image Sensor), By Processing Type(2D Processing, 3D Processing), By Application(Aerospace, Entertainment, Industrial, Consumer Electronics), By Region - Industry Forecast 2024-2031

Image Sensor Market Drivers

• Increasing adoption of ADAS systems to boost the image sensor market: The modern automotive industry is expanding quickly,as a result of embracing cutting-edge technology like artificial intelligence, asset management, and machine vision. The popularity of advanced driver assistance systems, which have 360-degree surround cameras and other useful features like anti-lock brakes, lane departure warning, electronic stability control, traction control, and adaptive cruise control, is growing. Machine vision technology in ADAS infrastructure makes extensive use of image sensors, and ADAS technology has also boosted the idea of automated cars. These innovative concepts are projected to significantly boost the use of image sensors and fuel the market for the image sensors globally.

Image Sensor Market Restraints

• The expensive manufacturing of large-chip image sensors is projected to limit the market expansion: The expansion of the image sensor market is constrained by the high manufacturing costs of image sensors. Low-megapixel camera images have a number of shortcomings. While enlarging, editing, or printing photos taken using low-megapixel cameras, the quality of the photos is diminished. As a result, there is an increase in demand for high-megapixel cameras globally, because of which, the image sensor makers have had to either increase the chip size or decrease the pixel pitch in order to increase the number of pixels. Large chip sizes, however, come at a high price. Additionally, they defy the notion of lean/thin devices by having a big footprint. Therefore, decreasing the pixel pitch, which is a highly difficult and expensive operation, is the only method to create high-resolution and inexpensive image sensors.