Computational Photography Market 2022 Analysis by Global Manufacturers - Apple Inc., Alphabet Inc., Qualcomm Technologies Inc., Nvidia Corporation, Light Labs Inc., CEVA Inc

The Computational Photography Market report is a compilation of first-hand information, qualitative and quantitative assessment by industry analysts, inputs from industry experts and industry participants across the value chain. The report provides in-depth analysis of parent market trends, macro-economic indicators and governing factors along with market attractiveness as per segments. The report also maps the qualitative impact of various market factors on market segments and geographies.

The computational photography market is expected to hold a CAGR of 20% during the forecast period 2022 - 2027.

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Top Leading Companies of Computational Photography Market are Apple Inc., Alphabet Inc., Qualcomm Technologies Inc., Nvidia Corporation, Light Labs Inc., CEVA Inc., FotoNation Inc., Algolux Inc., Pelican Imaging Corporation, Almalence Inc. and others.

Industry News and Updates

April 2022 - Xiaomi announced to integrate a 144-megapixel camera phone, where the predecessors of these two phones, Mi 10 Pro and Mi CC9 Pro, had 108-megapixel cameras. The phones employ computational photography and further prioritizes to improve its computational photography features.

Key Market Trends

North America to Hold Significant Market Growth

- 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, Apple Inc., Light, NVIDIA Corporation, and Qualcomm Inc., is also contributing significantly to the growth of the market in North America.

- With the craze and wait of the new iPhone among the public in the United States, iPhone inhibits the growth of computational photography. In September 2019, Apple released the iPhone 11, where its Deep Fusion photography system arrived as part of AppleÕs newest developer beta of iOS 13, version 13.2 beta 1. The Deep Fusion is a new image processing pipeline for medium-light images known as computational photography.

- Deep Fusion picks the short-exposure image with the most detail and merges it with the long synthetic exposure. Unlike Smart HDR, Deep Fusion merges these two frames and is processed for noise differently than Smart HDR.

- Further, 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. In recent years, the United States experienced rapid growth in machine vision systems, specifically in areas of advanced manufacturing.

Regional Outlook of Computational Photography Market report includes the following geographic areas such as: North America, Europe, China, Japan, Southeast Asia, India and ROW.

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What Are The Market Factors That Are Explained In The Report?

Key Strategic Developments: The study also includes the key strategic developments of the market, comprising R&D, new product launch, M&A, agreements, collaborations, partnerships, joint ventures, and regional growth of the leading competitors operating in the market on a global and regional scale.

Analytical Tools: The Computational Photography Market Report includes the accurately studied and assessed data of the key industry players and their scope in the market by means of a number of analytical tools. The analytical tools such as Porter's five forces analysis, SWOT analysis, feasibility study, and investment return analysis have been used to analyze the growth of the key players operating in the market.

Key Market Features: The report evaluated key market features, including revenue, price, capacity, capacity utilization rate, gross, production, production rate, consumption, import/export, supply/demand, cost, market share, CAGR, and gross margin. In addition, the study offers a comprehensive study of the key market dynamics and their latest trends, along with pertinent market segments and sub-segments.

Customization of the Report: This report can be customized as per your needs for additional data up to 3 companies or countries or 40 analyst hours.

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