Global Computational Photography Market , By Type (Single- and Dual-Lens Cameras, 16-Lens Cameras, Others), Application (Smartphone Camera, Standalone Camera, Machine Vision), Offering (Camera Module, Software), Geography (North America, South America, Europe, Asia-Pacific, Middle East and Africa)– Industry Trends and Forecast to 2026
The Global Computational Photography Market was valued at USD 1,250.4 million and is expected to reach USD 13,246.8 million in 2026, growing at a healthy CAGR of 32.7% for the forecast to 2026.
This class explores how computation impacts the entire workflow of photography, which is traditionally aimed at capturing light from a 3D scene to form a 2D image. A detailed study of the perceptual, technical and computational aspects of forming pictures, and more precisely the capture and depiction of reality on a (mostly 2D) medium of images is undertaken over the entire term. The scientific, perceptual, and artistic principles behind image-making will be emphasized, especially as impacted and changed by computation.
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Top Market Competitors: Computational Photography Market
- Qualcomm Technologies,
- NVIDIA Corporation
- Samsung Electronics,
- Pelican Imaging,
- HTC Corporation,
- ON Semiconductor,
- Sony Corporation,
- Affinity Media,
- DxO Lab,
- Nikon Corporation,
- Xperi Corporation,
- many more.
The Computational Photography report offers key parts of the business with the subtleties of the effect and industry specialists keep up a reliable review with inventive patterns, offer and cost. It offers a flat-out examination of the industry in a joined stage which is grounds on various fragments including key areas, item/administration types, and applications, innovation and so forth. An appraisal of the effect of current market patterns and conditions is additionally included to give data on the future market extension. The report gives itemized data on the future effect of different guidelines received by the government in different divisions of the market.
Table of Content:
Part 01: Executive Summary
Part 02: Scope of The Report
Part 03: Global Computational Photography Market Landscape
Part 04: Global Computational Photography Market Sizing
Part 05: Global Computational Photography Market Segmentation by Product
Part 06: Five Forces Analysis
Part 07: Customer Landscape
Part 08: Geographic Landscape
Part 09: Decision Framework
Part 10: Drivers and Challenges
Part 11: Market Trends
Part 12: Vendor Landscape
Part 13: Vendor Analysis
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- Rapidly increasing demand for digital still cameras with high resolution
- Adoption of computational photography in smartphone cameras
- The initial cost for a digital camera is usually higher
- Consumes more battery life
Segmentation: Computational Photography
- Smartphone Camera
- Standalone Camera
- Machine Vision
- Single- and Dual-Lens Cameras
- 16-Lens Cameras
- Camera Module
Competitive Analysis: Computational Photography
The global computational photography market is highly fragmented and the major players have used various strategies such as new product launches, expansions, agreements, joint ventures, partnerships, acquisitions, and others to increase their footprints in this market. The report includes market shares of the computational photography market for global, Europe, North America, Asia Pacific, South America, and Middle East & Africa.
- In 2015, Google, Inc. acquired Digester, a panoramic images provider start-up company. This acquisition enhanced Google’s customer experience with street view technology developed for Google Maps, by using 360-degree photography.
Key Insights in the report:
- Historical and current market size and projection up to 2025
- Market trends impacting the growth of the global computational photography market
- Analyze and forecast the computational photography market on the basis of type, application, offering
- Trends of key regional and country-level markets for type, application, offering.
- Company profiling of key players which includes business operations, product and services, geographic presence, recent developments and key financial analysis