Information Technology & Telecommunication / Computational Photography Market Growth, Trends And Forecast (2022 - 2027) By Types, By Application, By Regions And By Key Players - Alphabet, Samsung Electronics, Qualcomm Technologies
Computational Photography Market Growth, Trends And Forecast (2022 - 2027) By Types, By Application, By Regions and By Key Players - Alphabet, Samsung Electronics, Qualcomm Technologies
The global Computational Photography Market size is projected to accrue voluminously by 2027 registering a phenomenal CAGR of 22.0% during the review period (2022 to 2027)
Computational Photography Market Overview
Computational photography is popular in digital cameras and particularly smartphones, automating many settings to allow for better point and shoot technology. Computational photography enhances images through the use of image processing algorithms by reducing motion blur and incorporating artificial depth of field, as well as enhancing color, contrast, and light range. Computing imaging works with innovative computational capabilities in the hardware. These software systems strengthen and extend capabilities of computational photography-based devices by compressing, expanding, and mosaicking an image. As computational photography technology advances, smartphones allow non-professional photographers to generate images of bigger quality. Major factors that are probable to boost the growth of the computational photography market in the forecast period are the rise in the demand for high-resolution still cameras and growing adoption of computational photography in smartphone cameras. Furthermore, the increasing need for camera arrays in a single product is further anticipated to propel the growth of the computational photography market. The computational photography is done utilizing digital cameras and particularly through smartphones that comprises of automated settings for making better or better point-and-shoot abilities. It uses image processing algorithms to improve the images by reducing motion blur and also adds simulated depth of field and refining colours, contrast, and light range.
Industry News
April 2020 - Xiaomi announced to integrate a 144-megapixel camera phone, where the predecessors of these two phones, Mi 10 Pro and Mi CC9 Pro, had 108-megapixel cameras. The phones employ computational photography and further prioritizes to improve its computational photography features.
In October 2015, Google acquired Digisfera, a startup focused on panoramic images. The acquisition was aimed at enhancing the customer experience with Street View technology developed by Google for Google Maps, by using 360 degree photography
What are the major Applications, Types and Regions for Computational Photography Market?
In the developed economies of the North America and Western Europe, there is a high focus on innovations owing to increasing disposable income and high presence of vendors. As a result, North America has the highest revenue contribution to computational photography market. APAC region is also expected to be the show significant growth rate for computational photography market owing to a large number of smartphone manufacturers in the region.
North America
US
Canada
Europe
Germany
France
UK
Italy
Spain
Rest of Europe
Asia-Pacific
China
Japan
India
Australia
South Korea
Rest of Asia-Pacific
Rest of the World
Middle East & Africa
Latin America
The Computational Photography Market describes the factors driving the global growth opportunities in upcoming years and highlights market channels. In addition, the report analyzes market size and share, trends, by geographic region, end-use type and segment. It focuses extensively on revealing a detailed regional analysis. The Global Computational Photography Market report also conducted a PESTEL analysis of the industry to study the main influencing factors and entry barriers of the industry.
What is our Computational Photography Market Report Scope?
Report Attributes
Report Details
Forecast Period 2022 to 2027 CAGR
CAGR of 22.0% during the review period (2022 to 2027).
Yes, the report can be customized as per your needs
Key Takeaways from this Computational Photography Report
Evaluate Computational Photography market potential through analyzing growth rates (CAGR %), Volume (Units) and Value ($M) data given at country level - for product types, end use applications and by different industry verticals.
Understand the different dynamics influencing the market - growth driving factors, specific challenges and hidden opportunities.
Get in-depth insights on your competitor performance – revenue, shares, business strategies, financial benchmarking, product benchmarking, SWOT analysis and more.
Analyze the sales and distribution channels across geographies to enhance top-line revenues.
Understand the demanding supply chain with a deep dive on the value augmentation at each, in order to optimize value and bring efficiencies in your processes.
Get a quick outlook on the Computational Photography market entropy - M&A's, deals, partnerships, product launches of all key players for the past 4 years.
Evaluate the import-export statistics, supply-demand and competitive landscape for more than top 20 countries globally for the market.
FAQ -
What is the study period of this market?
The Computational Photography Market is studied from 2017 - 2027.
What is the growth rate of Computational Photography Market?
The Computational Photography Market is growing at a CAGR of 22.0% over the next 5 years.
What regions does this Computational Photography Market report covers?
North America (the United States, Canada, and Mexico)
Europe (Germany, France, UK, Russia, and Italy)
Asia-Pacific (China, Japan, Korea, India, and Southeast Asia)
South America (Brazil, Argentina, Colombia, etc.)
The Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria, and South Africa)
All our reports are custom made to your company needs to a certain extent, we do provide 5 free consulting hours along with purchase of each report, and this will allow you to request any additional data to customize the report as your needs.
INTRODUCTION
MARKET DEFINATION
MARKET DYNAMICS
MARKET SEGMENTATION
REPORT TIMLINES
KEY STAKEHOLDERS
RESEARCH METHODOLOGY
DATA MINING
SECONDARY RESEARCH
PRIMARY RESEARCH
SUBJECT MATTER EXPERT ADVICE
QUALITY CHECK
FINAL REVIEW
DATA TRIANGULATION
BOTTOM-UP APPROACH
TOP-DOWN APPROACH
RESEARCH FLOW
EXECUTIVE SUMMARY
INTRODUCTION
GLOBAL COMPUTATIONAL PHOTOGRAPHY MARKETBY TYPES
GLOBAL COMPUTATIONAL PHOTOGRAPHY MARKET BY APPLICATIONS
MARKET DYNAMICS
DRIVERS
INCREASING DEMAND FOR COMPUTATIONAL PHOTOGRAPHY
RESTRAINTS
STRINGENT ENVIRONMENTAL REGUALTIONS
HIGH COST ON MATERIALS
OPPORTUNITIES
COMPUTATIONAL PHOTOGRAPHY GROWTH
APPLICATION OF COMPUTATIONAL PHOTOGRAPHY
IMPACT OF COVID 19
GLOBAL COMPUTATIONAL PHOTOGRAPHY MARKET, BY TYPES
Introduction
Single- and Dual-Lens Cameras
Lens Cameras
Other
GLOBAL COMPUTATIONAL PHOTOGRAPHY MARKET, BY APPLICATION
Introduction
Smartphone Camera
Standalone Camera
Machine Vision
Others
GLOBAL COMPUTATIONAL PHOTOGRAPHY MARKET, BY REGION
SECONDARY RESEARCH Secondary Research Information is collected from a number of publicly available as well as paid databases. Public sources involve publications by different associations and governments, annual reports and statements of companies, white papers and research publications by recognized industry experts and renowned academia etc. Paid data sources include third party authentic industry databases.
PRIMARY RESEARCH Once data collection is done through secondary research, primary interviews are conducted with different stakeholders across the value chain like manufacturers, distributors, ingredient/input suppliers, end customers and other key opinion leaders of the industry. Primary research is used both to validate the data points obtained from secondary research and to fill in the data gaps after secondary research.
MARKET ENGINEERING The market engineering phase involves analyzing the data collected, market breakdown and forecasting. Macroeconomic indicators and bottom-up and top-down approaches are used to arrive at a complete set of data points that give way to valuable qualitative and quantitative insights. Each data point is verified by the process of data triangulation to validate the numbers and arrive at close estimates.
EXPERT VALIDATION The market engineered data is verified and validated by a number of experts, both in-house and external.
REPORT WRITING/ PRESENTATION After the data is curated by the mentioned highly sophisticated process, the analysts begin to write the report. Garnering insights from data and forecasts, insights are drawn to visualize the entire ecosystem in a single report.