Computational Photography Market is expected to grow from US$ 2.39 Bn in 2017 to US$ 22.99 Bn by 2026, at a CAGR of +28.6% between 2017 and 2026.
The market growth of camera modules is given to the use of advanced AI-based cameras and the growing demand for camera assemblies in a single product. The hardware and software of each computer camera are generally designed to produce a particular type of image. The captured image is optically encoded. The computational module has an optical model, which it uses to decode the captured image to produce a new type of image that could benefit a vision system.
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The Computational Photography market report, which is a new addition defines and briefs the readers about its products, specifications and applications. The research lists highlights the key changing trends adopted by the firm to maintain their dominance. By using SWOT analysis, the strengths, weaknesses, opportunities and threats are mentioned in the report of all the key companies. All important players in the global market are outlined with all the essential details such as business overview, sales, competitors, applications and specifications.
The major players in market are Apple (US), Samsung (South Korea), Nvidia (US), Qualcomm (US), Adobe (US), Nikon (Japan), Sony (Japan), LG (South Korea), Light (US), Canon (Japan).
Computational Photography, by Type:
- Single- and Dual-Lens Camera
- 16- Lens Camera
Computational Photography, by Product:
- Smartphone Cameras
- Standalone Cameras
- Machine Vision Cameras
Computational Photography, by Application:
- 3D Imaging
- Virtual Reality
- Augmented Reality
- Mixed Reality
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Table of content
Chapter 1 Global Computational Photography Market Overview
Chapter 2 Global Economic Impact on Computational Photography Industry
Chapter 3 Global Computational Photography Market Competition by Manufacturers
Chapter 4 Global Computational Photography Production, Revenue (Value) by Region (2012-2018)
Chapter 5 Global Computational Photography Supply (Production), Consumption, Export, Import by Regions (2012-2018)
Chapter 6 Global Computational Photography Production, Revenue (Value), Price Trend by Type
Chapter 7 Global Computational Photography Market Analysis by Application
Chapter 8 Computational Photography Manufacturing Cost Analysis
Chapter 9 Industrial Chain, Sourcing Strategy and Downstream Buyers
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