Computational Photography Market Global Premium Research Report 2017 of 158 pages added by reports and reports explores Global Computational Photography Market Size, Share, Companies, Statistics, and Opportunities Forecast to 2023. Global Computational Photography Market set to hit $ 11.47 billion at a CAGR of 29.14% by 2023.
Computational photography combines plentiful computing, digital sensors, modern optics, actuators, and smart lights to escape the limitations of traditional film cameras and enables novel imaging applications.
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Global Computational Photography Company Market Analysis: Alphabet (US), Apple (US), Light Labs (US), NVIDIA (US), Qualcomm, (US), Samsung Electronics (South Korea), Sony (Japan), HTC (Taiwan), Pelican Imaging (US), Lytro (US), Algolux Inc. (Algolux), DxO Labs (France), Almalence (US), Nikon (Japan), Canon (Japan), Corephotonics (Israel), and XPERI (US).
Report provides comprehensive information on 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.
Growth of Computational Photography Market is boosted by factors such as 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.
The breakup of the profiles of primary participants has been given below.
- By Company Type: Tier 1=65%, Tier 2=15%, and Tier 3=20%
- By Designation: C-Level Executives= 55%, Directors=15%, and Others=30%
- By Region: North America=45%, APAC=32%, Europe=14%, and RoW=9%
“Smartphone camera held a major share of the computational camera market in 2016”
Smartphone camera held a major share of the computational photography market based on application in 2016. The computational photography market for smartphone camera is witnessing major changes.
Computational cameras have a high impact on the smartphone market. The smartphone customers prefer the handsets which exhibit better camera quality and advanced camera features.
The smartphones manufacturers are, thus, focusing on enhancing the cameras embedded in their smartphones. The companies mainly focus on advancing the image sensors, optics, and camera modules.
In October 2017, Google announced its Pixel 2 and Pixel 2 XL smartphones that support the computational photography feature.
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“The market for stand-alone camera is expected to grow at the highest CAGR between 2017 and 2023”
The computational photography market for standalone camera is expected to grow at the highest CAGR between 2017 and 2023.Computational photography is a comparatively new technology, with a lucrative growth potential owing to the growing demand for innovation in the markets for standalone camera across the globe. Light Labs (US) has recently launched a standalone camera with the computational imaging capabilities.
Moreover, the major camera providers, such as Nikon (Japan) and Canon (Japan), are expected to enter into this market during the forecast period.
“The computational photography market in APAC is expected to grow at a high CAGR during 2017–2023”
The computational photography market based on region has been segmented into North America, Europe, Asia Pacific (APAC), and Rest of the World (RoW). North America held the largest share of the computational photography market in 2016.
The region is an early adopter of innovative technologies and is home to a large number of computational photography solution providers. Between North America and APAC, the market in APAC is expected to grow at a higher CAGR between 2017 and 2023, owing to the high adoption of technically advanced products.
China, Japan, and Australia have a huge market (or potential market) for computational photography. The growth opportunity for the computational photography market players in the countries apart from China, India, South Korea, Australia, and Japan would largely depend on the pricing strategies and awareness regarding the benefits of computational cameras over conventional digital single-lens reflex (DSLR) cameras.
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