Global Computational Photography Market report underlines the primary and secondary drivers, market share, possible sales volume, leading segments and geographical analysis. Have your business at the highest level of growth with this all-inclusive Global Computational Photography Market research report. Moreover, this market research report puts forth thorough overview of the market where it identifies industry trends, determines brand awareness and influence, provides industry insights and offers competitive intelligence. The report precisely collects the information about effective factors for the Semiconductor and electronics industry which includes customer behaviour, emerging trends, product usage, and brand positioning.
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.
- Rapidly increasing demand for digital still cameras with high resolution
- Adoption of computational photography in smartphone cameras
- The initial cost for a digital camera is usually higher
- Consumes more battery life
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Segmentation:Global Computational Photography Market
- Smartphone Camera
- Standalone Camera
- Machine Vision
- Single- and Dual-Lens Cameras
- 16-Lens Cameras
- Camera Module
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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