Press release
Computational Photography Market Healthy Pace throughout the Forecast during 2017 - 2025
Increasing disposable incomes combined with rapid advancements in technology, leading to incredible achievements is the foremost reason for rising market for computational photography. The way photography has evolved has ruled out any limitations that individuals used to face with traditional photography techniques. Traditional photography just meant, capturing what is visible to eyes. The scenario has totally changed after the evolution of computational photography. 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.
Global Computational Photography Market: Market Dynamics
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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Global Computational Photography Market: Segmentation
Global Computational Photography market is segmented on the basis of application and region.
On the basis of application, the global Computational Photography market can be segmented into smartphone, camera, standalone camera and machine vision.
Global Computational Photography Market: Competition Landscape
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.
Key Development
In October 2015, Google acquired Digisfera, a startup focused on panoramic images. The acquisition was aimed at enhancing the customer experience with Street View technology developed by Google for Google Maps, by using 360 degree photography.
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Global Computational Photography Market Insights, Forecast
The Computational Photography market was valued at Million US$ in 2017 and is projected to reach Million US$ by 2025, at a CAGR of during the forecast period. In this study, 2017 has been considered as the base year and 2018 to 2025 as the forecast period to estimate the market size for Computational Photography
Get sample copy of the report:
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Table of Contents:
Table of Contents
1 Study Coverage
1.1…
Global Computational Photography Market Insights, Forecast
The Computational Photography market was valued at Million US$ in 2017 and is projected to reach Million US$ by 2025, at a CAGR of during the forecast period. In this study, 2017 has been considered as the base year and 2018 to 2025 as the forecast period to estimate the market size for Computational Photography.
Get sample copy of the report:
https://www.marketdensity.com/contact?ref=Sample&reportid=49265
Table of Contents:
Table of Contents
1 Study Coverage
1.1…
