Computational Photography Market Size & Analysis - Forecasts To 2025 By Technique (Ptychography, Fourier Ptychography, Lenseless Imaging, Computational Speckle Imaging); By Application (Image Based Relighting, Image Enhancement, Image Deblurring/ Refocusing, Geometry/ Material Recovery, Reflection); By Industry (Smart phones, Laptops, Cameras, Others); By End-Use (Healthcare, Laboratories, Research Centres, Others); By Region (North America, Europe, Asia Pacific, Central & South America, and Middle East & Africa); End-use Landscape; Vendor Landscape and Competitive Landscape - Global Market Estimates

Computational Photography Market Size & Analysis - Forecasts To 2025 By Technique (Ptychography, Fourier Ptychography, Lenseless Imaging, Computational Speckle Imaging); By Application (Image Based Relighting, Image Enhancement, Image Deblurring/ Refocusing, Geometry/ Material Recovery, Reflection); By Industry (Smart phones, Laptops, Cameras, Others); By End-Use (Healthcare, Laboratories, Research Centres, Others); By Region (North America, Europe, Asia Pacific, Central & South America, and Middle East & Africa); End-use Landscape; Vendor Landscape and Competitive Landscape - Global Market Estimates

  • Published Date: November 9 : 2017
  • Base Year for Estimate: 2019
  • Report Id:696

Computational Photography Market Insights

The global computational photography market is expected to grow at a lucrative CAGR over the forecast period. Factors such as enhanced camera features along with reduced cost and size of associated parts are likely to foster the market growth over the coming years.

Computational Photography is generally referred to imaging techniques that improve and expand the capabilities of digital photography. It overcomes the limitations of traditional cameras by incorporating advanced computational techniques to produce a richer, more vivid, and meaningful representation of the visual world.

The gradual shift of computational algorithms from computers to imaging devices and software are anticipated to drive the market over the forecast period. Also, the increased application of this technique across various industries is further likely to bode well for the industry growth.

computational photography market

Computational Photography Market: Technique Insights

The global computational photography market is segmented into Lensless Imaging, Computational Speckle Imaging, Ptychography, and Fourier Ptychography, based on techniques.

Ptychography segment is likely to witness a significant growth over the forecast period due to its increased application in healthcare industries. It is extensively being used while carrying out X-rays owing to its advantages such as noise tolerance, high speed of convergence, and possible high resolution of reconstructed images.

Fourier ptychography refers to a computational imaging technique based on optical microscopy which results in an increased resolution when compared to a conventional microscope. Fourier ptychography is also expected to grow at a flourishing rate due to its ability to use a microscope objective with a lower numerical aperture without sacrificing the resolution.

The growth of lensless segment is expected to be influenced by advantages associated with it such as cost-effectiveness, portability, large field of view, high resolution, and depth-resolved three-dimensional imaging.

Computational Photography Market: Application Insights

Based on application, the computational photography market is divided into Image-Based Relighting, Image Enhancement, Image Deblurring / Refocusing, Geometry/Material Recovery, and Reflection.

Image deblurring segment is projected to increase at a significant rate over the forecast period as it serves to a number of real-world problems ranging from astronomy to consumer imaging.

Image-based lighting segment is likely to grow at a substantial rate over the coming years attributing to its increased application in video games and personal computers.

Image enhancement refers to the process of modifying the quality of a digitally stored image using software. The rising number of advanced image enhancement software is anticipated to boost the growth of this segment.

Computational Photography Market: Vertical Insights

The global computational photography market is classified into Smart phones, Laptops, and Cameras among others, based on vertical. Smartphones and Cameras are anticipated to register a prominent growth over the forecast period. The computational photography camera program captures many photos in burst mode, automatically creates HDR image, removes noise, adds sharpness, and enhances color tones & saturation. These features are likely to propel the market growth over the coming years.

Computational Photography Market: End- Use Insights

Based on End-Use, the global computational photography market is segregated into Healthcare, Laboratories, and Research Centres amongst others. The healthcare and laboratories segment is expected to witness a significant growth over the forecast period owing to increased demand for high resolution images while carrying out X-ray and CT scan procedures.

Computational Photography Market: Regional Insights

Asia Pacific accounted for a substantial market share in 2016. It is further likely to dominate the market over the forecast period due to the significant presence of 3D-enabled smartphone manufacturers across the region. North America is also anticipated to witness a healthy growth rate over the forecast period.

Computational Photography Market: End-Use Landscape

The end-use landscape includes a list of current and prospective consumers prevailing across the regions. This section provides company addresses, contact details, products, and regional presence of companies who are purchasing or are likely to purchase products from the global computational photography market. The major consumers of the product are Nikon, Sony and Apple Inc.

computational photography market

Computational Photography Market: Competitive Landscape

Some of the leading players profiled in the global computational photography report include Microsoft, Google, Samsung, Adobe Britech Group, Inc, NVIDIA, and MITRE among others.

Please note: This is not an exhaustive list of companies profiled in the report.

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The global Computational Photography Market has been studied from the year 2016 till 2025. However, the CAGR provided in the report is from the year 2017 to 2025. The research methodology involved three stages: Desk research, Primary research, and Analysis & Output from the entire research process.

Computational Photography Market

The desk research involved a robust background study which meant referring to paid and unpaid databases to understand the market dynamics; mapping contracts from press releases; identifying the key players in the market, studying their product portfolio, competition level, annual reports/SEC filings & investor presentations; and learning the demand and supply side analysis for the Computational Photography Market.

Computational Photography Market

The primary research activity included telephonic conversations with more than 50 tier 1 industry consultants, distributors, and end-use product manufacturers.

Computational Photography Market

Finally, based on the above thorough research process, an in-depth analysis was carried out considering the following aspects: market attractiveness, current & future market trends, market share analysis, SWOT analysis of the companies, and customer analytics.

Computational Photography Market

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