The global computational photography market is estimated to be valued at USD 10.7 billion in 2019 and is projected to reach USD 29.0 billion by 2024, growing at a CAGR of 22.0% during the forecast period. The trend of sharing images and videos using advanced media sharing technologies is a significant aspect of social networking on a global basis within the smartphone and multimedia tablet ecosystem. Also, the enhancement in the image resolution of sensors along with the technological advancements in camera modules, components, and design is driving the market. The growing demand for superior vision technology in the computer vision industry is expected to lay new growth opportunity for computational cameras industry growth during the forecast period.
By offering, the camera module is the largest contributor in computational photography market during the forecast period
The market growth of camera modules is attributed to the use of AI-based advanced cameras and the growing demand for arrays of cameras in a single product. The hardware and software of each computational camera are typically designed to produce a particular type of image. The captured image is optically coded. The computational module has a model of optics, which it uses to decode the captured image to produce a new type of image that could benefit a vision system.
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Smartphone cameras account for the largest market size of the computational photography market
The computational photography market is driven primarily by the rising sales of smartphones equipped advanced cameras with artificial intelligence capabilities. Smartphone-based computational cameras are displaying significant changes in the market. There is a high impact of computational cameras in the smartphones market. Computational photography is now evolving in smartphones such as Apple, Google, and Samsung.
Single-and dual-lens to account for the largest market size of computational photography market during the forecast period
The demand for these cameras is propelled by the growth of smartphone cameras such as iPhone XS, iPhone X, Google Pixel, and others that use single- and double-lens camera modules for advanced imaging. Having multiple-lens cameras has enabled manufacturers to add new features such as zoom, better HDR, portrait modes, 3D, and low-light photography. iPhone XS, Xiaomi Redmi 7S, Huawei Honor 8, and Samsung Galaxy Note 8 are among the recent smartphones with powerful dual rear cameras.
3D imaging held the largest share of computational photography market in 2018
Computational photography cameras can be used for capturing images of a particular object from which a model of the scene can be generated automatically. A wide range of possible changes can be explored interactively and previewed on-set, including scene geometry and textures with the help of this technology. With advances in computer vision technology, it has become possible to capture 3D images using many different sensors and, in the process, to extract depth information.
North America to hold the major share of the computational photography market in 2018
The growth of the smartphone market mainly drives the progress of the computational photography market in North America. Moreover, the presence of market leaders such as Alphabet Inc. (Alphabet) (US), Apple, Inc. (Apple) (US), Light (U.S.), NVIDIA Corporation (NVIDIA) (US), and Qualcomm, Inc. (Qualcomm) (US) is also contributing significantly to the growth of the market in North America. The market in APAC is expected to grow at the highest CAGR during 2019 and 2024 due to higher consumer spending on the latest smartphones.
Key Market Players
The major players in market are Apple (US), Samsung (South Korea), Nvidia (US), Qualcomm (US), Adobe (US), Nikon (Japan), Sony (Japan), LG (South Korea), Light (US), Canon (Japan).
According to the latest market research report "Computational Photography Market by Application (Smartphone Camera, Standalone Camera, Machine Vision), Type (Single- And Dual-Lens Cameras, 16-Lens Cameras), Offering (Camera Module, Software), and Geography - Global Forecast to 2023", the computational photography market is expected to be worth USD 11.47 Billion by 2023 from USD 2.47 Billion by 2017, at a CAGR of 29.14% from 2017 to 2023.
The market has a huge potential across various applications, such as smartphone camera, and point and shoot camera.
The major factors driving the growth of the computational camera market include growing adoption of computational photography in smartphone cameras and high demand for digitals till cameras with high resolution.The market for the standalone camera segment is expected to grow at a high CAGR during the forecast period.
As the overall point and shoot camera market has reached the maturity stage and is witnessing a decline in the shipment from last 3 years, vendors operating in the point and shoot camera industry are focusing on developing advanced camera hardware with computational capabilities.
The blue-chip point and shoot camera manufacturers, including Nikon (Japan) and Canon (Japan), are working on the point and shoot cameras with computational architecture, and they are expected to commercialize their products by 2018.Get a Sample PDF Brochure: https://www.marketsandmarkets.com/requestsampleNew.asp?id=232323308The single- and dual-lens cameras held the largest share of the computational photography market in 2016.
The camera quality has a significant impact on the smartphone buyers.
According to the new market research report "Computational Photography Market by Offering (Camera Modules, Software), Type (Single- and Dual-Lens, 16-Lens), Product (Smartphone Cameras, Standalone Cameras, Machine Vision Cameras), Application (3D Imaging, AR, VR, MR), Region - Global Forecast to 2024", published by MarketsandMarkets™, the Computational Photography Market was valued at USD 10.7 billion in 2019 and is projected to reach USD 29.0 billion by 2024; it is expected to grow at a CAGR of 22.0% during the forecast period.Ask for PDF Brochure:https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=232323308Camera modules for computational photography to hold the largest market share in 2019The market growth of camera modules is attributed to the use of AI-based advanced cameras and the growing demand for arrays of cameras in a single product.
The captured image is optically coded.
Having multiple-lens cameras has enabled manufacturers to add new features such as zoom, better HDR, portrait modes, 3D, and low-light photography.
iPhone XS, Xiaomi Redmi 7S, Huawei Honor 8, and Samsung Galaxy Note 8 are among the recent smartphones with powerful dual rear cameras.Smartphone cameras to hold the largest market share in computational photography market during the forecasted yearThe computational photography market is driven primarily by the rising sales of smartphones equipped advanced cameras with artificial intelligence capabilities.
Smartphones-based computational cameras are displaying significant changes in the market.
Computational photography is now evolving in smartphones such as Apple, Google, and Samsung.Browse in-depth TOC on "Computational Photography Market"100 – Tables 50 – Figures 150 – Pages Request Sample pages of the Report:https://www.marketsandmarkets.com/requestsampleNew.asp?id=2323233083D imaging to hold the largest share of computational photography market in 2019Computational photography cameras can be used for capturing images of a particular object from which a model of the scene can be generated automatically.
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Further, key players, major collaborations, merger & acquisitions along with trending innovation and business policies are reviewed in the report.
The report contains basic, secondary and advanced information pertaining to the Computational Photography Market global status and trend, market size, share, growth, trends analysis, segment and forecasts from 2018 – 2025.
The numerical data is backed up by statistical tools such as SWOT analysis, BCG matrix, SCOT analysis, PESTLE analysis and so on.
The statistics are represented in graphical format for a clear understanding on facts and figures.
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