Computational Photography Market : Key Growth Factor, Industry Analysis 2017 - 2025
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Computational photography is the use of superior hardware such as high quality sensors to capture images with high resolution and then processing them with the use of various software which apply various algorithms in order to create an image with high dynamic range and improved picture quality using de blurring algorithms, tone mapping algorithms, matting algorithms and many more. As a result, Computational photography, has high growth potential and therefore, the Computational photography market is anticipated to witness healthy double digit CAGR in the near future.
The rising trends of sharing videos and images with growing use of social media networking is the major factor driving the growth of computational photography market. Individuals today tend to remain connected globally, through social media apps, such as what Sapp, Facebook. All this has led to integration of high end cameras in smartphones. Moreover, the smartphone penetration has increased globally, further encouraging the adoption of high end smartphones with advances cameras.
Also the rapid advancements in technology, has led to numerous developments in terms of image processing where individuals can capture and generate high quality images, manipulate them using various apps, and share them with their convenience. With the rise in disposable incomes and enhanced standard of living, the computational photography market, is anticipated to boost exponentially in the near future.
However, less awareness and high costs involved in computational photography techniques may restrain the growth of computational photography market in underdeveloped regions such as Latin America and MEA.
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The key vendors in the global Computational Photography market are Apple Inc., Google, Qualcomm Technologies, Inc., NVIDIA Corporation, Light, Algolux, Movidius, ALMALENCE INC., and Pelican Imaging.
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