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Computational Photography Market Comprehensive Study 2018: Apple, Alphabet, Capillary Technologies, NVIDIA, Samsung Electronics, Light, Nikon Corporation, Canon, Inc.,

This report aims to examine the developments of Computational Photography Market including its market improvement, development, position and others. This report on the market offers explanatory knowledge on the market parts like dominating players, drivers and restraints, production, revenue, consumption, import and export, and the most effective development within the organization size, deployment type, inside, segmentation comprised throughout this analysis, also major the 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 in order to sustain in long run, additionally to the present the clear view point of market.

 

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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 Key Competitors:

  • Apple,
  • Alphabet,
  • Qualcomm Cambridge,
  • Point Inside,
  • NVIDIA,
  • ZOTAC USA Inc.,
  • EVGA,
  • Samsung Electronics,
  • Light,
  • Nikon Corporation,
  • Lytro, Canon, Inc.,
  • Algolux,
  • Pelican Imaging,
  • Intel Movidius,
  • Almalence, Inc.,
  • ON Semiconductor,
  • Sony,
  • Corephotonics Ltd,
  • DxO,
  • HTC,
  • Affinity Media,
  • Xperi Corporation,

Market Key Developments:

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.

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.

 

Competitive Analysis:

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.

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Table of Content

 

  1. Executive Summary

 

  1. Scope of the Report
  • Market Definition
  • Scope of the Study
  • Definition
  • Research Objective
  • Assumptions
  • Limitations
  • Research Process
  • Primary Research
  • Secondary Research
  • Market Size Estimation
  • Forecast Model
  1. Market Landscape
  • Porter’s Five Forces Analysis
  • Threat of New Entrants
  • Bargaining Power of Buyers
  • Bargaining Power of Suppliers
  • Threat of Substitutes
  • Segment Rivalry
  • Value Chain/supply Chain Analysis

 

4 Major Application Analysis:

  • Major Application Market Share
  • Major Down Stream Customers Analysis
  • Others Global

5 Industry Chain Analysis:

  • Up Stream Industries Analysis
  • Manufacturing Analysis
  • Industry Chain Structure Analysis

6 Major Manufacturers Analysis:

  • Company Introduction
  • Product Specification and Major Types Analysis
  • Production Market Performance

7 New Project Investment Feasibility Analysis:

  • New Project SWOT Analysis
  • New Project Investment Feasibility Analysis

8 Market Driving Factors:

  • Market Upcoming Challenges 2019-2025
  • Market Upcoming Opportunist 2019-2025
  • Related Reports

Continued……….

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Market Drivers:

  • Rapidly increasing demand for digital still cameras with high resolution
  • Adoption of computational photography in smartphone cameras

Market Restraint:

  • The initial cost for a digital camera is usually higher
  • Consumes more battery life

 

Market Segmentation:

Application:

  • Smartphone Camera
  • Standalone Camera
  • Machine Vision

Type:

  • Single- and Dual-Lens Cameras
  • 16-Lens Cameras
  • Others

Offering:

  • Camera Module
  • Software

Geography:

  • North America
  • Europe
  • Asia-Pacific
  • South America
  • Middle East & Africa

 

 

This Market Research Report Will Be Beneficial for:

 

  • New Entrants/Investors
  • Venture Capitalists and Private Equity Firms
  • Analysts and Strategic Business Planners
  • Government Regulatory and Research Organizations
  • Investment Research Firms / Associations
  • Computational Photography Manufacturers, Suppliers and Distributors
  • End-Use Industries

 

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