Global Computational Photography Market Set to Grow with CAGR of 32.7 % By 2026

Attaining complete info about the trends and opportunities in the industry is fairly time consuming process but the market report eases it for businesses. Global Computational Photography Market research report acts as a valued source of information with which businesses can achieve a telescopic view of the current market trends, consumer’s demands and preferences, market situations, opportunities and market status. The report comprises of a number of market dynamics and estimations of the growth rate and the market value based on market dynamics and growth inducing factors. To formulate this Global Computational Photography Market report, detailed market analysis has been performed with the inputs from industry experts.

 

The Global Computational Photography Market was valued at USD 1,250.4 million in 2017 and is expected to reach USD 13,246.8 million in 2025, growing at a healthy CAGR of 32.7 % for the forecast period of 2018 to 2025.

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Market Definition: Global Computational Photography Market

Computational photography is the process of capturing digital image and applies various processing techniques that use digital computation instead of optical processes. The computational photography is done using digital cameras and especially through smartphones that includes automated settings for making better point-and-shoot abilities. It uses image processing algorithms to improve images by reducing motion blur and also adds simulated depth of field and refining colours, contrast, and light range. The HDR (High Dynamic Range) Imaging with panoramics is the popular computational photography that optimally combines information from multiple differently exposed pictures of overlapping and under exposed images. The use of computational photography has increased due to its advantages such as it provide better machine vision systems at lower cost, enhance images with better colour, contrast, and better lighting techniques.  For instance, in 2018, Xiaomi launched Xiaomi Mi 8 smartphone that provides computational photography. This smartphone uses machine learning with AI techniques to improve the photos and provide up front of 20-megapixel shooter that enables to take selfies enhances with AI. The users now-a-days prefer more to the devices that offers computational photography features and this is the striking impact on the market.

Market Drivers:

  • Rapidly increasing demand for digital still cameras with high resolution
  • Adoption of computational photography in smartphone cameras

Market Restraint:

  • The initial cost for a digital camera is usually higher
  • Consumes more battery life

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Segmentation:Global Computational Photography Market

Application

  • Smartphone Camera
  • Standalone Camera
  • Machine Vision

Type

  • Single- and Dual-Lens Cameras
  • 16-Lens Cameras
  • Others

Offering

  • Camera Module
  • Software

Competitive Analysis: Global Computational Photography Market

The global computational photography market is highly fragmented and the major players have used various strategies such as new product launches, expansions, agreements, joint ventures, partnerships, acquisitions, and others to increase their footprints in this market. The report includes market shares of computational photography market for global, Europe, North America, Asia Pacific, South America and Middle East & Africa.

In 2015, Google, Inc.  acquired Digisfera, a panoramic images provider start-up company. This acquisition enhanced Google’s customer experience with street view technology developed for Google Maps, by using 360 degree photography.

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About Data Bridge Market Research 14352 Articles
Hi, I am Ravi Kumar, a Blogger, Freelancer, SEO Consultant, an Internet Marketer, I am a research analyst who loves to evaluate data relating to Manufacturing industry, Management of companies and enterprises, Finance and insurance, Wholesale trade, Management, scientific, and technical consulting services

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