Computational Photography Market to 2024 – Growing Steady at 22.0% CAGR and Projected to Reach US$ 29.0 Billion

A fresh report titled on “Computational Photography Market” delivering key insights and providing a competitive advantage to clients through a detailed report. The report also details the information about the global market status, growth rate, future trends, market drivers, challenges, opportunities and porter’s forces analysis with respect to these elements. An exclusive data offered in this report is collected by research and industry experts team.

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The Computational Photography Market was valued at US$ 10.7 Billion in 2019 and is expected to reach US$ 29.0 Billion by 2024, at a CAGR of 22.0% from 2019 to 2024. This report spread across 150 pages, profiling 11 companies and supported with tables and figures is now available in this research.

Top Companies profiled in the Computational Photography Market:
• Apple (US)
• Samsung (South Korea)
• Nvidia (US)
• Qualcomm (US)
• Adobe (US)
• Nikon (Japan)
• Sony (Japan)
• LG (South Korea)
• Light (US)
• Canon (Japan)

This high growth for computational photography software is attributed to the use of high-end algorithms to achieve advanced photography. Software is an integral 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 mosaic king the image.

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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.

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.

Breakdown of primary participants’ profile:
• By Company Type: Tier 1–40%, Tier 2–25%, and Tier 3 –35%
• By Designation: C-level Executives–45%, Directors–25%, and Others –30%
• By Region: North America–55%, Europe –20%,APAC–15%, RoW–10

Competitive Landscape of Computational Photography Market:
1 Overview
2 Market Ranking Analysis, 2018
3 Competitive Situation and Trends
3.1 Product Launches & Developments
3.2 Acquisitions
3.3 Partnerships

Research Coverage:
This research report categorizes the global computational photography based on offering, product, type, application, and geography. The report describes the major drivers, restraints, challenges, and opportunities pertaining to computational photography market and forecasts the same till 2024.

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This release was published on openPR.