New Growth Opportunity for Computational Photography Market

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.

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Camera modules for computational photography to hold the largest market share in 2019

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.

The single and dual camera continues to hold the largest market share in computational photography market during the forecast year

The demand for these cameras is propelled by the growth of advanced smartphone cameras such as iPhone XS, iPhone X, Google Pixel, and others that use single- and double-lens camera modules for cutting-edge 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.

Smartphone cameras to hold the largest market share in computational photography market during the forecasted year

The 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. 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.

Browse in-depth TOC on "Computational Photography Market"

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3D imaging to hold the largest share of computational photography market in 2019

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 held the largest market share between 2019 and 2024

The growth of the computational photography market in North America is driven mainly by the growth of the smartphone market in the region. According to Telecom Lead, apple accounted for approximately 40% of the total smartphone market in North America, followed by Samsung and Google. These smartphones have computational photography capabilities and are expected to be used primarily for imaging purposes.

The major players in computational photography market are Apple (US), Samsung (South Korea), Nvidia (US), Qualcomm (US), Adobe (US), Nikon (Japan), Sony (Japan), LG (South Korea), Light (US), Canon (Japan).

Computer Vision Industry Is Expected New Growth & Demand For Computational Photography Technology In The Smartphone Segment During The Forecast Period

The computational photography market was valued at USD 10.7 billion in 2019 and is expected to reach USD 29.0 billion by 2024, at a CAGR of 22.0% from 2019 to 2024. The major driving factors is the trend of sharing images and videos using advanced media sharing technologies is a major 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 computational photography industry. The growing demand for superior vision technology in the computer vision industry is expected to lay new growth opportunity for computational cameras during the forecast period. 

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A few of the emerging trends in the computational camera market include increasing resolution and complexity of image sensors for better image quality, augmented application of software-based imaging techniques in machine vision, growth in 4K pixel, and ultra HD technologies. Moreover, the growing quest for superior camera technologies among leading smartphone vendors is expected to propel the demand for computational photography technology in the smartphone segment during the forecast period. 

Based on offering, the market for software is expected to grow at the highest CAGR. This high growth is attributed to the use of high-end algorithms to achieve advanced photography. Software is an essential part of computational cameras. It interfaces hardware with advanced computational capabilities. These software systems enhance and extend the capabilities of devices based on computational photography by compressing, expanding, and mosaicking the image.

Based on type, other cameras are expected to grow at the fastest rate. Other computational cameras include cameras with 4, 8, and more lenses. Nikon has unveiled its 4-lens camera with a patent (No. 2016-114615) filed in June 2016. Other camera manufacturers, such as Sony (Japan) and Huawei (China), are expected to enter the computational photography market by launching cameras with variable aperture sizes and adjustable zooming features based on the size of the image sensor; as a result, new designs are created for multi-aperture cameras useful in computational photography.

Based on product, machine vision cameras are expected to grow at a significant rate between 2019 and 2024. There is a great importance of high-quality images to detect defects in final products. Machine vision can use computational photography when higher quality imaging with less maintenance is desired. Computational photography eliminates the need to adjust optics and lighting to get a perfect image. It reduces the need for post-processing of images. 

Based on application, mixed reality is expected to grow at the highest rate. Mixed reality is the result of blending the physical world with the digital world. Mixed reality is the next evolution in the interaction between humans, computers, and the environment and unlocks various possibilities that were initially limited to our imagination. Computational photography is expected to provide enhanced user experience with the help of advanced imaging combined with virtual reality.

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APAC computational photography market is expected to grow at the highest CAGR during the forecast period. This high growth is attributed to the increasing number of Chinese vendors such as Huawei (China), Xiaomi (China), and others. These companies are coming up with advanced AI-based cameras for advanced imaging purposes with powerful chipsets and processors.

In the coming years, the robotic vision in industries is expected to use computational cameras owing to the superior vision technology. In the coming years, computational photography software is expected to use artificial intelligence, which will be very useful in the AI-based machine vision technology. Movidius (US) (acquired by Intel), launched the new Myriad 2 vision processing unit, dedicated to imaging, The Myriad 2 has been specially made to be power-efficient, and it will be manufactured using a 28-nanometer process, using 12 "vision-specific vector processors.

Computational Photography Market 2019: Industry Growth, Competitive Analysis, Future Prospects and Forecast 2024

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=232323308

Camera modules for computational photography to hold the largest market share in 2019

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.

The single and dual camera continues to hold the largest market share in computational photography market during the forecast year

The demand for these cameras is propelled by the growth of advanced smartphone cameras such as iPhone XS, iPhone X, Google Pixel, and others that use single- and double-lens camera modules for cutting-edge 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.

Smartphone cameras to hold the largest market share in computational photography market during the forecasted year

The 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. 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.

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=232323308

3D imaging to hold the largest share of computational photography market in 2019

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 held the largest market share between 2019 and 2024

The growth of the computational photography market in North America is driven mainly by the growth of the smartphone market in the region. According to Telecom Lead, apple accounted for approximately 40% of the total smartphone market in North America, followed by Samsung and Google. These smartphones have computational photography capabilities and are expected to be used primarily for imaging purposes.

The major players in computational photography market are Apple (US), Samsung (South Korea), Nvidia (US), Qualcomm (US), Adobe (US), Nikon (Japan), Sony (Japan), LG (South Korea), Light (US), Canon (Japan).