Computational Photography Camera Market Competitive Landscape and Progress 2023-2029 .
Market intelligence data introduce new research covering micro level of analysis by competitors and key business segments (2023-2029). The global Computational Photography Camera Market report explores comprehensive study on various segments like opportunities, size, development, innovation, sales and overall growth of major players. The Computational Photography Camera Market research is carried out on primary and secondary statistics sources and it consists both qualitative and quantitative detailing. Well-explained SWOT analysis, revenue share and contact information are shared in this report analysis. It also provides market information in terms of development and its capacities.
The global Computational Photography Camera market size is expected to grow at a CAGR of 18.44% during 2023-2029.
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The Computational Photography Camera Market 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.
Key players in the Computational Photography Camera market include:
Alphabet (US), Apple (US), NVIDIA (US), Qualcomm (US), Pelican Imaging (US), Light Labs (US), Algolux (Canada), DxO Labs (France), Almalence (US), Nikon (Japan), Canon (Japan),
Industry News:
Canon has acquired 4 companies, including 2 in the last 5 years. Canon’s largest acquisition to date was in 2015, when it acquired Axis Communications AB for $2.8B. Canon has acquired in 2 different US states, and 3 countries. The Company’s most targeted sectors include semiconductors (50%) and technology hardware (50%).
Apple has acquired 108 companies, including 19 in the last 5 years. A total of 6 acquisitions came from private equity firms. It has also divested 2 assets.Apple’s largest acquisition to date was in 2014, when it acquired Beats Electronics for $3.0B. It’s largest disclosed sale occurred in 1998, when it sold Orion Network Systems to Loral Space & Communications for $479M. Apple has acquired in 13 different US states, and 15 countries. The Company’s most targeted sectors include software (35%) and internet software and services (32%).
Computational Photography Camera Market: Segmentation
By Type
Single- and Dual-Lens Cameras
16-Lens Cameras
Others
By Application
Smartphone Camera
Standalone Camera
Machine Vision
Smartphone cameras account for the largest market size of the computational photography market
The computational photography market is driven primarily by the rising sales of smartphones equipped advanced cameras with artificial intelligence capabilities. Smartphone-based computational cameras are displaying significant changes in the market. There is a high impact of computational cameras in the smartphones market. Computational photography is now evolving in smartphones such as Apple, Google, and Samsung.
Single-and dual-lens to account for the largest market size of computational photography market during the forecast period
The demand for these cameras is propelled by the growth of smartphone cameras such as iPhone XS, iPhone X, Google Pixel, and others that use single- and double-lens camera modules for advanced imaging. Having multiple-lens cameras has enabled manufacturers to add new features such as zoom, better HDR, portrait modes, 3D, and low-light photography. iPhone XS, Xiaomi Redmi 7S, Huawei Honor 8, and Samsung Galaxy Note 8 are among the recent smartphones with powerful dual rear cameras.
3D imaging held the largest share of computational photography market in 2023
Computational photography cameras can be used for capturing images of a particular object from which a model of the scene can be generated automatically. A wide range of possible changes can be explored interactively and previewed on-set, including scene geometry and textures with the help of this technology. With advances in computer vision technology, it has become possible to capture 3D images using many different sensors and, in the process, to extract depth information.
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Regional Analysis
- North America (USA, Canada, Mexico)
- Europe (Germany, France, UK, Russia, Italy)
- Asia Pacific (China, Japan, Korea, India, Southeast Asia)
- South America (Brazil, Argentina, Colombia, etc.)
- iddle East and Africa (Saudi Peninsula, UAE), Egypt, Nigeria and South Korea)
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 Apple’s 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.
- According to AIA (Association for Advancing Automation), the overall North American machine vision market grew from USD1.8 billion in sales in 2010 to USD 2.07 billion till September 2019, including smart cameras sales. Further, the North American machine vision systems market is expected to grow to USD 14 billion by 2025. Driving this growth is the need for improved product inspection and quality control in the manufacturing sector, as well as the growing demand for smarter collaborative robots in manufacturing and warehousing. These factors tend to grow the market of computational photography.
Computational Photography Camera Market Objectives of the Report
- To carefully analyse and forecast the size of the Computational Photography Camera Market by value and volume.
- To estimate the market shares of major segments of the Computational Photography Camera
- To showcase the development of the Computational Photography Camera Market in different parts of the world.
- To analyse and study micro-markets in terms of their contributions to the Computational Photography Camera Market, their prospects, and individual growth trends.
- To offer precise and useful details about factors affecting the growth of the Computational Photography Camera
- To provide a meticulous assessment of crucial business strategies used by leading companies operating in the Computational Photography Camera Market, which include research and development, collaborations, agreements, partnerships, acquisitions, mergers, new developments, and product launches.
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Highlights of the report:
- A complete backdrop analysis, which includes an assessment of the parent market
- Important changes in market dynamics
- Market segmentation up to the second or third level
- Historical, current, and projected size of the market from the standpoint of both value and volume
- Reporting and evaluation of recent industry developments
- Market shares and strategies of key players
- Emerging niche segments and regional markets
- An objective assessment of the trajectory of the market
- Recommendations to companies for strengthening their foothold in the market
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The research study has taken the help of graphical presentation techniques such as infographics, charts, tables, and pictures. It provides guidelines for both established players and new entrants in the global Computational Photography Camera market. Further, the study also caters to and provides in-depth statistics about the crucial elements which include drivers & restraining factors that help estimate the future growth outlook of the market.
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