(MENAFN- Ameliorate Digital Consultancy)
The global computational photography market was valued at USD 12.8 Billion in 2022 and it is anticipated to grow up to USD 19.3 Billion by 2032, at a CAGR of 4.2% during the forecast period.
Computational photography is a field of computer science that deals with the construction of digital images. It is a relatively new field that has arisen out of the need to process the ever-increasing amount of digital image data being generated by modern cameras and other imaging devices.
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Market Trends and Drivers
The key drivers of the computational photography market are the increasing demand for high-quality images, the need for better image processing capabilities, and the growing popularity of digital cameras. The demand for high-quality images has been driven by the increasing popularity of social media and the need for better image quality in advertising and marketing. This has led to a need for better image processing capabilities, which has in turn driven the development of computational photography. Digital cameras have also become increasingly popular, as they offer several advantages over traditional film cameras. Digital cameras are typically smaller and lighter than film cameras, and they offer the ability to take unlimited pictures without the need for film.
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Market Segments
By Type
Single- and Dual-Lens
16-Lens
Others
By Product
Smartphone Cameras
Standalone Cameras
Machine Vision Cameras
By Application
Major Players in the Global Computational Photography Market
The key players in the Computational Photography Market Apple, Samsung, Nvidia, Qualcomm, Adobe, Nikon, Sony, LG, Light, and Canon.
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