Computational Photography Market Size, Share, Industry Analysis, Forecast to 2024

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MarketsandMarkets Presents

Computational Photography Market Size, Share,
Industry Analysis, Forecast to 2024 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 https//www.marketsandmarkets.com/Market-Rep
orts/computational-photography-market-232323308.ht
ml
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Computational photography market report share 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. Browse 103 market data Tables and 43
Figures spread through 142 Pages and in-depth TOC
on "Computational Photography Market - Global
Forecast to 2024"
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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. Ask PDF
Brochure https//www.marketsandmarkets.com/pdfdow
nloadNew.asp?id232323308 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.
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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. Request Free Sample Pages https//www.m
arketsandmarkets.com/requestsampleNew.asp?id23232
3308 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.
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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.
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Computational Photography Market Key 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). Apple (US) is
the leader in the computational photography
market. The company designs, manufactures and
markets mobile communication and media devices,
personal computers, and portable digital music
players. Apples computational photography
portfolio consists of iPhone 7 plus, iPhone 8,
and iPhone X. The main feature of the iPhone 7
model is the new advanced camera system. It has a
12 MP front camera, optical image stabilization,
and 7 MP FaceTime high-definition (HD) camera.
The device also offers a dual-lens camera with a
Quad-LED tone flash. It has 2X optical zoom and
10X digital zoom, along with portrait mode. In
November 2017, the company launched iPhone 8,
iPhone 8 plus, and iPhone X. These new versions
of the iPhone have computational photography
features in their cameras. In September 2019,
Apple unveiled it's iPhone 11. It will run on the
A13 Bionic chips as the Pro models. The chip will
deliver faster focusing, finer resolution, and
more powerful tone mapping (to preserve detail in
challenging lighting). A13 Bionics Neural Engine
enables computational photography. This chip uses
advanced machine learning to do pixel-by-pixel
processing of photos, optimizing for texture,
details, and noise in every part of the picture.
Also, in April 2015, Apple acquired Linx, an
Israel-based company that manufactures Camera
Modules, to advance in the market. The company
has expertise in producing miniature
multi-aperture cameras, specially designed for
mobile devices. This acquisition was aimed at
improving the companys camera technology in its
devices.
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