コンピュテーショナルフォトグラフィ（CP）の世界市場予測（～2023年）：スマートフォンカメラ、スタンドアローンカメラ、マシンビジョン...市場調査レポートについてご紹介

1 Introduction (Page No. – 12)
1.1 Objectives of Study
1.2 Definition
1.3 Markets Covered
1.3.1 Geographic Scope
1.3.2 Years Considered for Study
1.4 Currency
1.5 Limitations
1.6 Stakeholders

2 Research Methodology (Page No. – 16)
2.1 Research Data
2.1.1 Secondary Data
2.1.1.1 List of Major Secondary Sources
2.1.1.2 Secondary Sources
2.1.2 Primary Data
2.1.2.1 Primary Interviews With Experts
2.1.2.2 Breakdown of Primaries
2.1.2.3 Key Data From Primary Sources
2.2 Secondary and Primary Research
2.2.1 Key Industry Insights
2.3 Market Size Estimation
2.3.1 Bottom-Up Approach
2.3.1.1 Approach for Capturing the Market Share By Bottom-Up Analysis (Demand Side)
2.3.1.2 Approach for Capturing the Market Share With the Help of Various Players in the Value Chain of the Computational Photography Market
2.3.2 Top-Down Approach
2.3.2.1 Approach for Capturing the Market Share By Top-Down Analysis (Supply Side)
2.4 Market Breakdown and Data Triangulation
2.5 Research Assumptions

3 Executive Summary (Page No. – 26)

4 Premium Insights (Page No. – 30)
4.1 Attractive Opportunities in Computational Photography Market
4.2 Market, By Type
4.3 Market in North America, By Country
4.4 Computational Photography Market, By Geography

5 Market Overview (Page No. – 34)
5.1 Introduction
5.2 Market Dynamics
5.2.1 Drivers
5.2.1.1 High Demand for Digital Still Cameras With High Resolution
5.2.1.2 Growing Adoption of Computational Photography in Smartphone Cameras
5.2.2 Restraints
5.2.2.1 High Cost of Manufacturing and Maintenance of Computational Camera Modules
5.2.3 Opportunities
5.2.3.1 Requirement of Image Fusion for Enhanced Image Quality
5.2.3.2 Collaboration of Computational Photography and 4k Technology
5.2.3.3 Increasing Demand for High-Resolution Computational Cameras in Machine Vision Applications
5.2.4 Challenges
5.2.4.1 Miniaturization of Image Sensor Chips Causing Problem in the Development of Sensors for Smartphone Camera Modules
5.2.4.2 Lack of Commercialization and Requirement of Skilled Workforce to Develop Computational Photography Products

6 Computational Photography Market, By Application (Page No. – 38)
6.1 Introduction
6.2 Smartphone Camera
6.3 Standalone Camera
6.4 Machine Vision

7 Computational Photography Market, By Type (Page No. – 47)
7.1 Introduction
7.2 Single- and Dual-Lens Cameras
7.3 16-Lens Cameras
7.4 Others

8 Computational Photography Market, By Offering (Page No. – 52)
8.1 Introduction
8.2 Camera Module
8.3 Software

9 Geographic Analysis (Page No. – 61)
9.1 Introduction
9.2 North America
9.2.1 US
9.2.2 Canada
9.2.3 Mexico
9.3 Europe
9.3.1 Germany
9.3.2 France
9.3.3 UK
9.3.4 Rest of Europe
9.4 Asia Pacific
9.4.1 Japan
9.4.2 China
9.4.3 Rest of APAC
9.5 RoW
9.5.1 Middle East and Africa
9.5.2 South America

10 Competitive Landscape (Page No. – 75)
10.1 Overview
10.2 Market Ranking Analysis, 2016
10.3 Competitive Situation and Trends
10.3.1 Product Launches & Developments
10.3.2 Acquisitions
10.3.3 Partnerships

11 Company Profiles (Page No. – 79)
(Business Overview, Strength of Product Portfolio, Business Strategy Excellence, Recent Developments)*
11.1 Key Players
11.1.1 Apple
11.1.2 Alphabet
11.1.3 Samsung Electronics
11.1.4 Qualcomm Technologies
11.1.5 Lytro
11.1.6 Nvidia
11.1.7 Canon
11.1.8 Nikon
11.1.9 Light
11.1.10 Sony
11.1.11 On Semiconductors
11.2 Key Innovators
11.2.1 Pelican Imaging
11.2.2 Almalence
11.2.3 Movidius
11.2.4 Algolux
11.3 Other Key Players
11.3.1 HTC
11.3.2 Corephotonics
11.3.3 Dxo Labs
11.3.4 Xperi
11.3.5 Affinity Media

*Details on Business Overview, Strength of Product Portfolio, Business Strategy Excellence, Recent Developments Might Not Be Captured in Case of Unlisted Companies.

12 Appendix (Page No. – 107)
12.1 Insights From Industry Experts
12.2 Discussion Guide
12.3 Knowledge Store: Marketsandmarkets’ Subscription Portal
12.4 Introducing RT: Real-Time Market Intelligence
12.5 Available Customizations
12.6 Related Reports
12.7 Author Details