Major Players in Computational Photography Market are Apple, Light, Nvidia, Qualcomm, Samsung Electronics, Adobe, Nikon, Sony Corporation, LG Corp, Canon, Algolux, Almalence Inc, HTC, Xperi Corporation, Lytro, Pelican, Movidius, Oppo , Intel, Corephotonics LTD, Leica Camera AG and Raytrix.
New York, Sept. 22, 2022 (GLOBE NEWSWIRE) — Reportlinker.com announces the release of the “Computational Photography Global Market Report 2022” – https://www.reportlinker.com/p06316990/?utm_source=GNW
The global computational photography market is expected to grow from $10.97 billion in 2021 to $13.4 billion in 2022 at a compound annual growth rate (CAGR) of 22.1%. The computational photography market is expected to reach $31.93 billion in 2026 with a CAGR of 24.2%.
The computational photography market consists of sales of computational photography by entities (organizations, independent traders, and partnerships) that refer to the use of digital software to enhance photos clicked by the camera. Computational photography is used in digital cameras, especially in smartphones by automating settings to improve shooting capabilities.
Computational photography helps improve image clarity by reducing motion blur and adding simulated depth of field, enhancing color, light range and contrast using image processing algorithms.
The main types of computational photography are single-lens and dual-lens cameras, 16-lens cameras, and other types. The single lens camera uses a prism and mirror system which allows the photographer to see through the lens and know exactly what is being captured whereas a dual lens camera offers two sensors which help to capture high quality images and add more elements.
Computational photography is offered in camera modules and software for smartphone cameras, stand-alone cameras, and machine vision cameras that have various applications such as 3D imaging, augmented reality imaging, reality imaging virtual, mixed reality imagery, digital imagery and other applications.
North America was the largest region in the computational photography market in 2021. Asia-Pacific is expected to be the fastest growing region during the forecast period.
Regions covered in the Computational Photography market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.
The Computational Photography Market research report is part of a series of new reports that provide statistics on the Computational Photography market, including the global Computational Photography industry market size, market shares regional, competitors holding Computational Photography market share, detailed Computational Photography market segments, market trends and opportunities. , and all the additional data you might need to thrive in the digital photography industry. This Computational Photography Market research report provides a comprehensive perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.
The growth of the smartphone market is expected to propel the growth of the computational photography market over the forecast period. Computational photography is increasing due to rapid improvements in smartphone cameras such as photo taking capabilities using 3D technology sensors for high quality.
According to the India Brand Equity Foundation (IBEF) blog, an export promotion agency of the Government of India, in line with the National Electronics Policy (NEP), the domestic smartphone market is expected to reach $80 billion. by 2025-26, up from $25.1 billion in 2018-19. Hence, the growth of the smartphone market will lead to the growth of the computational photography market.
Technological advancements are shaping the computational photography market. Technological advancements are being made in the computational photography market to sustain competition as this market is driven by innovation.
For example, in 2020, Qualcomm Technologies, a US-based subsidiary of Qualcomm that creates semiconductors, software, and services related to wireless technology, released the Qualcomm QCS610 and Qualcomm QCS410 system-on-chips. These QCS610 and QCS410 are unique because they are designed to bring high-end camera technology that includes powerful artificial intelligence and machine learning into the mid-tier camera segments.
In January 2019, Samsung Electronics, a South Korea-based company acquired Corephotonics for $155 million. This acquisition makes it possible to provide multi-camera modules and covers all module and sensor technologies.
Corephotonics is an Israel-based company that develops dual camera technologies.
The countries covered in the Computational Photography market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, the United Kingdom and the United States.
Read the full report: https://www.reportlinker.com/p06316990/?utm_source=GNW
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