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Global Computational Photography Market - Forecasts from 2018 to 2023

  • ID: 4600946
  • Report
  • Region: Global
  • 86 pages
  • Knowledge Sourcing Intelligence LLP
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FEATURED COMPANIES

  • Alphabet
  • Apple, Inc.
  • Corephotonics
  • Facebook, Inc.
  • Intel Corporation
  • Light
  • MORE
Global computational photography market is projected to witness an exponential growth over the forecast period 2018 to 2023. Computational photography is a technique which uses algorithms to improve the quality of the photograph which would be difficult to do so with digital photography or film photography. Companies are investing heavily to develop products which use computational photography in order to gain an edge over their competitors by offering superior photography experience. Rising sales of smart phones and booming demand for high resolution digital cameras will be the major factors driving the growth of computational photography over the next five years.

This research study examines the current market trends related to the demand, supply, and sales, in addition to the recent developments. Major drivers, restraints, and opportunities have been covered to provide an exhaustive picture of the market. The analysis presents in-depth information regarding the development, trends, and industry policies and regulations implemented in each of the geographical regions. Further, the overall regulatory framework of the market has been exhaustively covered to offer stakeholders a better understanding of the key factors affecting the overall market environment.

Identification of key industry players in the industry and their revenue contribution to the overall business or relevant segment aligned to the study have been covered as a part of competitive intelligence done through extensive secondary research. Various studies and data published by industry associations, analyst reports, investor presentations, press releases and journals among others have been taken into consideration while conducting the secondary research. Both bottom-up and top-down approaches have been utilized to determine the market size of the overall market and key segments. The values obtained are correlated with the primary inputs of the key stakeholders in the value chain of the global computational photography market. The last step involves complete market engineering which includes analyzing the data from different sources and existing proprietary datasets while using various data triangulation methods for market breakdown and forecasting.

Market intelligence is presented in the form of analysis, charts, and graphics to help the clients in gaining faster and efficient understanding of the market.
Major industry players profiled as part of the report are Intel Corporation, Alphabet, Microsoft Corporation, Samsung, Apple, Inc., and Corephotonics among others.

Segmentation:

The global computational photography market has been analyzed through following segments:

By Application
  • Cameras
  • Smart Phones
  • Machine Vision
By Geography

North America
  • U.S.
  • Canada
  • Mexico
  • Others
  • South America
  • Brazil
  • Argentina
  • Others
Europe
  • United Kingdom
  • Germany
  • France
  • Italy
  • Others
Middle East and Africa
  • United Arab Emirates
  • Israel
  • Saudi Arabia
  • Others
Asia Pacific
  • China
  • Japan
  • India
  • South Korea
Australia
  • Others
Note: Product cover images may vary from those shown
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FEATURED COMPANIES

  • Alphabet
  • Apple, Inc.
  • Corephotonics
  • Facebook, Inc.
  • Intel Corporation
  • Light
  • MORE
1. Introduction
1.1. Market Overview
1.2. Market Definition
1.3. Scope Of The Study
1.4. Currency
1.5. Assumptions
1.6. Base, And Forecast Years Timeline

2. Research Methodology
2.1. Research Design
2.2. Secondary Sources

3. Executive summary

4. Market dynamics
4.1. Segmentation
4.2. Drivers
4.3. Restraints
4.4. Opportunities
4.5. Porter’s 5 Forces Analysis
4.5.1. Bargaining Power of Suppliers
4.5.2. Bargaining Power of Buyers
4.5.3. Threat of New Entrants
4.5.4. Threat of Substitutes
4.5.5. Competitive Rivalry in the Industry
4.6. Life Cycle Analysis- Regional Snapshot
4.7. Market Attractiveness

5. Global Computational Photography Market by Application
5.1. Cameras
5.2. Smart Phones
5.3. Machine Vision

6. Global Computational Photography Market by Geography
6.1. North America
6.1.1. U.S.
6.1.2. Canada
6.1.3. Mexico
6.1.4. Others
6.2. South America
6.2.1. Brazil
6.2.2. Argentina
6.2.3. Others
6.3. Europe
6.3.1. United Kingdom
6.3.2. Germany
6.3.3. France
6.3.4. Italy
6.3.5. Others
6.4. Middle East and Africa
6.4.1. United Arab Emirates
6.4.2. Israel
6.4.3. Saudi Arabia
6.5. Asia Pacific
6.5.1. China
6.5.2. Japan
6.5.3. India
6.5.4. South Korea
6.5.5. Australia
6.5.6. Others

7. Competitive Intelligence
7.1. Market Share Analysis
7.2. Investment Analysis
7.3. Recent Deals
7.4. Strategies of Key Players

8. Company Profiles
8.1. Light
8.1.1. Overview
8.1.2. Products and services
8.1.3. Financials
8.1.4. Recent Developments
8.2. Intel Corporation
8.2.1. Overview
8.2.2. Products and services
8.2.3. Financials
8.2.4. Recent Developments
8.3. Alphabet
8.3.1. Overview
8.3.2. Products and services
8.3.3. Financials
8.3.4. Recent Developments
8.4. Microsoft Corporation
8.4.1. Overview
8.4.2. Products and services
8.4.3. Financials
8.4.4. Recent Developments
8.5. Samsung
8.5.1. Overview
8.5.2. Products and services
8.5.3. Financials
8.5.4. Recent Developments
8.6. Facebook, Inc.
8.6.1. Overview
8.6.2. Products and services
8.6.3. Financials
8.6.4. Recent Developments
8.7. Apple, Inc.
8.7.1. Overview
8.7.2. Products and services
8.7.3. Financials
8.7.4. Recent Developments
8.8. Corephotonics
8.8.1. Overview
8.8.2. Products and services
8.8.3. Financials
8.8.4. Recent Developments
List of Tables
List of Figures
Note: Product cover images may vary from those shown
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  • Light
  • Intel Corporation
  • Alphabet
  • Microsoft Corporation
  • Samsung
  • Facebook, Inc.
  • Apple, Inc.
  • Corephotonics
Note: Product cover images may vary from those shown
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The research study is based on the publisher's proprietary research model. The process involves sourcing of information from various industry experts, key professionals, decision-makers and various other stakeholders along with the validation of the responses received from the vast in-house database and premium paid databases. Publicly available sources were also taken into consideration for the final market estimates and forecast for the segments and sub-segments.

The first phase of the research process is the identification of key industry leaders, experts, decision-makers and C-level executives and then conducting interviews and surveys to gain vital insights about the market. Simultaneously, extensive secondary research is done, and key secondary data is collected as part of this process. This secondary data is collected from various databases, industry journals, whitepapers, company annual reports, research publications, and other paid data sources and relevant literature. Company profiles which include strategies, new product developments, recent investments, major products and services, financials and business plans are sourced from the annual reports, SEC filings, industry associations to preserve the quality of the information being displayed. The findings from both the primary and the secondary research process combined go under further processing for market breakdown and forecasting.

The last phase is providing intelligence in the form of presentation, charts, graphics and other different formats helping the clients in a faster and efficient understanding of the market. Under this phase complete market engineering is involved which includes analyzing the collected data from different sources and existing proprietary datasets while using various data triangulation methods for market breakdown and forecasting. The publisher has developed their market forecasting methodology that, in addition to the main market values, also takes into account other macroeconomic factors (global or local) that might have some bearing on the market under study. Taking all the necessary data, a robust forecast is developed using an algorithm that involves both static (multivariate) as well as dynamic (time-series) regression analysis. Special care is taken to make sure their algorithm passes the necessary statistical tests, and the mean prediction for future years obtained is reliable with a very high confidence level. Following data validation, the analysts begin to write the report presenting insights with the help of charts, graphs, and tables.

 

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