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Computational Photography Market Growth, Trends And Forecast (2022 - 2027) By Types, By Application, By Regions and By Key Players - Alphabet, Samsung Electronics, Qualcomm Technologies

02 Jun, 2022 | 106 Pages
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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?



By Type, it is segmented into




  • Single- and Dual-Lens Cameras

  • Lens Cameras

  •   Others



By Applications it is segmented into




  • Smartphone Camera

  • Standalone Camera

  • Machine Vision

  • Others



Computational Photography Market Regional Analysis



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).



By Type




  • Single- and Dual-Lens Cameras

  • Lens Cameras

  • Others



By Application




  • Smartphone Camera

  • Standalone Camera

  • Machine Vision

  • Others



By Companies



Alphabet, Samsung Electronics, Qualcomm Technologies, Lytro, Nvidia, Canon, Nikon, Sony, On Semiconductors, Pelican Imaging, Almalence, Movidius, Algolux, Corephotonics, Dxo Labs, Affinity Media



Regions Covered




  • North America

  • Europe

  • Asia-Pacific

  • Rest of the World



Countries Covered




  • US

  • Canada

  • Germany

  • France

  • UK

  • Italy

  • Spain

  • Rest of Europe

  • China

  • Japan

  • India

  • Australia

  • South Korea

  • Rest of Asia-Pacific

  • Middle East & Africa

  • Latin America



Base Year



2022



Historical Year



2017 to 2021



Forecast Year



2022 to 2027



Number of Pages



106



Customization Available



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.


  1. INTRODUCTION

    1. MARKET DEFINATION

    2. MARKET DYNAMICS

    3. MARKET SEGMENTATION

    4. REPORT TIMLINES

    5. KEY STAKEHOLDERS



  2. RESEARCH METHODOLOGY

    1. DATA MINING

      1. SECONDARY RESEARCH

      2. PRIMARY RESEARCH

      3. SUBJECT MATTER EXPERT ADVICE



    2. QUALITY CHECK

    3. FINAL REVIEW

      1. DATA TRIANGULATION

      2. BOTTOM-UP APPROACH

      3. TOP-DOWN APPROACH

      4. RESEARCH FLOW





  3. EXECUTIVE SUMMARY

    1. INTRODUCTION

    2. GLOBAL COMPUTATIONAL PHOTOGRAPHY MARKET BY TYPES

    3. GLOBAL COMPUTATIONAL PHOTOGRAPHY MARKET BY APPLICATIONS



  4. MARKET DYNAMICS

    1. DRIVERS

      1. INCREASING DEMAND FOR COMPUTATIONAL PHOTOGRAPHY



    2. RESTRAINTS

      1. STRINGENT ENVIRONMENTAL REGUALTIONS

      2. HIGH COST ON MATERIALS



    3. OPPORTUNITIES

      1. COMPUTATIONAL PHOTOGRAPHY GROWTH

      2. APPLICATION OF COMPUTATIONAL PHOTOGRAPHY



    4. IMPACT OF COVID 19



  5. GLOBAL COMPUTATIONAL PHOTOGRAPHY MARKET, BY TYPES

    1. Introduction

    2. Single- and Dual-Lens Cameras

    3. Lens Cameras

    4. Other            



  6. GLOBAL COMPUTATIONAL PHOTOGRAPHY MARKET, BY APPLICATION

    1. Introduction

    2. Smartphone Camera

    3. Standalone Camera

    4. Machine Vision

    5. Others   



  7. GLOBAL COMPUTATIONAL PHOTOGRAPHY MARKET, BY REGION

    1. NORTH AMERICA

      1. US

      2. CANADA

      3. MEXICO



    2. EUROPE

      1. GERMANY

      2. FRANCE

      3. UK

      4. ITALY

      5. RUSSIA

      6. REST OF EUROPE



    3. APAC

      1. CHINA

      2. SOUTH KOREA

      3. JAPAN

      4. INDIA

      5. AUSTRALIA

      6. ASEAN

      7. REST OF APAC



    4. MIDDLE EAST & AFRICA

      1. SAUDI ARABIA

      2. UAE

      3. SOUTH AFRICA

      4. TURKEY

      5. REST OF MEA



    5. SOUTH AMERICA

      1. BRAZIL

      2. REST OF MEA

      3. ARGENTINA

      4. REST OF SOUTH AMERICA





  8. COMPETITIVE LANDSCAPE

    1. MERGERS, ACQUISITIONS, JOINT VENTURES, COLLABORATIONS,

    2. AND AGREEMENTS

      1. KEY DEVELOPMENT



    3. MARKET SHARE (%) **/RANKING ANALYSIS

    4. STRATEGIES ADOPTED BY LEADING PLAYERS



  9. COMPANY PROFILES

    1. BUSINESS OVERVIEW

    2. COMPANY SNAPSHOT

    3. PRODUCT BENCHMARKING

    4. STRATEGIC INITIATIVES

      1. Alphabet,

      2. Samsung Electronics,

      3. Qualcomm Technologies,

      4. Lytro,

      5. Nvidia,

      6. Canon,

      7. Nikon,

      8. Sony,

      9. On Semiconductors,

      10. Pelican Imaging,

      11. Almalence,

      12. Movidius,

      13. Algolux,

      14. Corephotonics,

      15. Dxo Labs,

      16. Affinity Media





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.

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