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 2025
Market Analysis: Global Computational Photography Market
The Global Computational Photography Market was valued at USD 1,250.4 million in 2017 and is expected to reach USD 13,246.8 million in 2025, growing at a healthy CAGR of 32.7% for the forecast period of 2018 to 2025. The upcoming market report contains data for historic year 2016, the base year of calculation is 2017 and the forecast period is 2018 to 2025.
Market Definition: Global Computational Photography Market
Computational photography is the process of capturing digital image and applies various processing techniques that use digital computation instead of optical processes. The computational photography is done using digital cameras and especially through smartphones that includes automated settings for making better point-and-shoot abilities. It uses image processing algorithms to improve images by reducing motion blur and also adds simulated depth of field and refining colours, contrast, and light range. The HDR (High Dynamic Range) Imaging with panoramics is the popular computational photography that optimally combines information from multiple differently exposed pictures of overlapping and under exposed images. The use of computational photography has increased due to its advantages such as it provide better machine vision systems at lower cost, enhance images with better colour, contrast, and better lighting techniques. For instance, in 2018, Xiaomi launched Xiaomi Mi 8 smartphone that provides computational photography. This smartphone uses machine learning with AI techniques to improve the photos and provide up front of 20-megapixel shooter that enables to take selfies enhances with AI. The users now-a-days prefer more to the devices that offers computational photography features and this is the striking impact on the market.
- 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:Global Computational Photography Market
- Smartphone Camera
- Standalone Camera
- Machine Vision
- Single- and Dual-Lens Cameras
- 16-Lens Cameras
- Camera Module
- North America
- United Kingdom
- Rest of Europe
- South Korea
- Rest of Asia-Pacific
- South America
- Rest of South America
- Middle East & Africa
- South Africa
- Saudi Arabia
- United Arab Emirates
- Rest of MEA
Competitive Analysis: Global Computational Photography Market
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 computational photography market for global, Europe, North America, Asia Pacific, South America and Middle East & Africa.
In 2015, Google, Inc. acquired Digisfera, 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 Market Competitors: Global Computational Photography Market
The key players operating in the global computational photography market are –
- Apple Inc.
- Qualcomm Technologies, Inc.
- NVIDIA Corporation
The other players in the market are Samsung Electronics, Light, Nikon Corporation, Lytro, Inc., Canon Inc., Algolux, Pelican Imaging, Movidius, ALMALENCE INC., ON Semiconductor, Sony Corporation, Corephotonics Ltd., DxO Lab, HTC Corporation, Affinity Media, Xperi Corporation, and many more.
Research Methodology: Global Computational Photography Market
Data collection and base year analysis is done using data collection modules with large sample sizes. The market data is analysed and forecasted using market statistical and coherent models. Also market share analysis and key trend analysis are the major success factors in the market report. To know more please Request an Analyst Call or can drop down your inquiry.
The key research methodology used by DBMR Research team is data triangulation which involves data mining, analysis of the impact of data variables on the market, and primary (industry expert) validation. Apart from this, other data models include vendor positioning grid, market time line analysis, market overview and guide, company positioning grid, company market share analysis, standards of measurement, top to bottom analysis and vendor share analysis to know more about the research methodology, drop in an inquiry to speak to our industry experts.
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