Computational Photography Market by Application Smartphone Camera, Standalone Camera - 2023
The computational photography market is expected to grow from USD 2.47 Billion in 2017 to USD 11.47 Billion by 2023 at a CAGR of 29.14% between 2017 and 2023.
The market is driven by the increasing resolution and complexity of image sensors for better image quality, increased application of software-based imaging technique in machine vision, growth in 4K pixel, and ultra HD technologies. Moreover, the growing quest for superior camera technology among the leading smartphone vendors is expected to propel the demand for computational photography technology in smartphone segment during the forecast period. In June 2016, Nikon published a patent for its 4 lenses and 4 sensors. Canon has filed a patent (EP 1613060 A1) in the computational photography space. The company is expected to bring its computational photography technology into its products soon. Hitachi is also working on a lens-less camera technology that supports computational photography feature. It features with an ability to adjust the focus of video images after capturing an image
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The smartphone camera segment is expected to hold the largest share of the computational photography market by 2023. The growing consumer awareness about the high-quality smartphone cameras, along with the growing market for software-defined photography is expected to drive the market for smartphone camera.
North America held the largest share of the computational photography market in 2016. North America is one of the leading regions in terms of the adoption of computational photography. The region is one of the well-defined and controlled economies in terms of resources, GDP, infrastructure, and technological advancements in the world. As the high-quality smartphone cameras are most widely used for photography in this region, it is expected to be a major market for computational photography. Furthermore, the region has also rapidly adopted the latest advancements in the camera technology, and the US is a hub for start-ups in new camera technologies. These factors are expected to further drive the growth of the market in North America during the forecast period.
Image sensors used in computational camera modules are very sensitive to dust, microparticles, impurities, and shock. A slight disturbance can significantly deteriorate the quality of an image. Hence, these sensors require special measures for maintenance. Though the cost of these camera modules has significantly reduced over the past few years, it is still not low enough to attract the small-scale companies.
The computational photography technology is used in various smartphones cameras such as iPhone 7 Plus, iPhone8, iPhone X, and Google Pixel. Light Labs (US) has recently launched a point and shoot camera with computational imaging capability. Moreover, the major camera companies such as Nikon (Japan) and Canon (Japan) are expected to enter into this market during the forecast period. Some major players in the computational photography market are Alphabet (US), Apple (US), NVIDIA (US), Qualcomm, (US), Pelican Imaging (US), Light Labs (US), Algolux (Canada), DxO Labs (France), Almalence (US), Nikon (Japan), and Canon (Japan).
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