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

◆英語タイトル:Computational Photography Market by Application (Smartphone Camera, Standalone Camera, Machine Vision), Type (Single- And Dual-Lens Cameras, 16-Lens Cameras), Offering (Camera Module, Software), and Geography - Global Forecast to 2023
◆商品コード:SE-5744
◆発行会社(調査会社):MarketsandMarkets
◆発行日:2017年11月20日
◆ページ数:117
◆レポート言語:英語
◆レポート形式:PDF
◆納品方法:Eメール(受注後24時間以内)
◆調査対象地域:グローバル
◆産業分野:電子
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【レポートの概要】

The computational photography market is expected to grow from USD 2.47 Billion in 2017 to USD 11.47 Billion by 2023 at a CAGR of 29.14% between 2017 and 2023. The market is driven by the increasing resolution and complexity of image sensors for better image quality, increased application of software-based imaging technique in machine vision, growth in 4K pixel, and ultra HD technologies. Moreover, the growing quest for superior camera technology among the leading smartphone vendors is expected to propel the demand for computational photography technology in smartphone segment during the forecast period. In June 2016, Nikon published a patent for its 4 lenses and 4 sensors. Canon has filed a patent (EP 1613060 A1) in the computational photography space. The company is expected to bring its computational photography technology into its products soon. Hitachi is also working on a lens-less camera technology that supports computational photography feature. It features with an ability to adjust the focus of video images after capturing an image
The smartphone camera segment is expected to hold the largest share of the computational photography market by 2023. The growing consumer awareness about the high-quality smartphone cameras, along with the growing market for software-defined photography is expected to drive the market for smartphone camera.

The computational photography market for software is expected to grow at the highest CAGR between 2017 and 2023. This growth is mainly attributed to the increasing adoption of machine learning in the computational cameras. It interfaces hardware with advanced computational capabilities. Software systems enhance and extend the capabilities of devices based on the computational photography technology by compressing, expanding, and mosaicking the image. They can also remove the undesirable objects in the picture, remove camera shake, and add matt effect.

North America held the largest share of the computational photography market in 2016. North America is one of the leading regions in terms of the adoption of computational photography. The region is one of the well-defined and controlled economies in terms of resources, GDP, infrastructure, and technological advancements in the world. As the high-quality smartphone cameras are most widely used for photography in this region, it is expected to be a major market for computational photography. Furthermore, the region has also rapidly adopted the latest advancements in the camera technology, and the US is a hub for start-ups in new camera technologies. These factors are expected to further drive the growth of the market in North America during the forecast period.

Image sensors used in computational camera modules are very sensitive to dust, microparticles, impurities, and shock. A slight disturbance can significantly deteriorate the quality of an image. Hence, these sensors require special measures for maintenance. Though the cost of these camera modules has significantly reduced over the past few years, it is still not low enough to attract the small-scale companies.

The computational photography technology is used in various smartphones cameras such as iPhone 7 Plus, iPhone8, iPhone X, and Google Pixel. Light Labs (US) has recently launched a point and shoot camera with computational imaging capability. Moreover, the major camera companies such as Nikon (Japan) and Canon (Japan) are expected to enter into this market during the forecast period. Some major players in the computational photography market are Alphabet (US), Apple (US), NVIDIA (US), Qualcomm, (US), Pelican Imaging (US), Light Labs (US), Algolux (Canada), DxO Labs (France), Almalence (US), Nikon (Japan), and Canon (Japan).

【レポートの目次】

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

List of Tables (37 Tables)

Table 1 Currency Table
Table 2 Computational Photography Market, By Application, 2016–2023 (USD Million)
Table 3 Market in North America, By Application, 2016–2023 (USD Million)
Table 4 Market in Europe, By Application, 2016–2023 (USD Million)
Table 5 Market in APAC, By Application, 2016–2023 (USD Million)
Table 6 Market in RoW, By Application, 2016–2023 (USD Million)
Table 7 Market for Smartphone Camera, By Offering, 2016–2023 (USD Million)
Table 8 Market for Smartphone Camera, By Region, 2016–2023 (USD Million)
Table 9 Market for Standalone Camera, By Offering, 2016–2023 (USD Million)
Table 10 Market for Standalone Camera, By Region, 2016–2023 (USD Million)
Table 11 Market for Machine Vision, By Offering, 2016–2023 (USD Million)
Table 12 Market for Machine Vision, By Region, 2016–2023 (USD Million)
Table 13 Market, By Type, 2016–2023 (USD Million)
Table 14 Market in North America, By Type, 2016–2023 (USD Million)
Table 15 Market in Europe, By Type, 2016–2023 (USD Million)
Table 16 Market in APAC, By Type, 2016–2023 (USD Million)
Table 17 Market in RoW, By Type, 2016–2023 (USD Million)
Table 18 Computational Photography Market, By Offering, 2016–2023 (USD Million)
Table 19 Market for Camera Module, By Application, 2016–2023 (USD Million)
Table 20 Market for Software, By Application, 2016–2023 (USD Million)
Table 21 Market for Camera Module in North America, By Application, 2016–2023 (USD Million)
Table 22 Computational Photography Market for Camera Module in Europe, By Application, 2016–2023 (USD Million)
Table 23 Market for Camera Module in APAC, By Application, 2016–2023 (USD Million)
Table 24 Computational Photography Market for Camera Module in RoW, By Application, 2016–2023 (USD Million)
Table 25 Market for Software in North America, By Application, 2016–2023 (USD Million)
Table 26 Market for Software in Europe, By Application, 2016–2023 (USD Million)
Table 27 Market for Software in APAC, By Application, 2016–2023 (USD Million)
Table 28 Market for Software in RoW, By Application, 2016–2023 (USD Million)
Table 29 Market, By Region, 2016–2023 (USD Million)
Table 30 Computational Photography Market in North America, By Country, 2016–2023 (USD Million)
Table 31 Market in Europe, By Country, 2016–2023 (USD Million)
Table 32 Market in Asia Pacific, By Country, 2016–2023 (USD Million)
Table 33 Market in RoW, By Region, 2016–2023 (USD Million)
Table 34 Ranking of Key Players in Market, 2016
Table 35 Product Launches and Developments, 2013–2017
Table 36 Acquisitions, 2014–2016
Table 37 Partnerships, 2014–2016



List of Figures (45 Figures)

Figure 1 Market Segmentation
Figure 2 Computational Photography Market: Research Design
Figure 3 Market Size Estimation Methodology: Bottom-Up Approach
Figure 4 Market Size Estimation Methodology: Top-Down Approach
Figure 5 Data Triangulation Methodology
Figure 6 Computational Photography Market Size, 2016–2023 (USD Million)
Figure 7 Smartphone Cameras to Hold Largest Share of Computational Photography Market By 2023
Figure 8 Single-And Dual-Lens Cameras to Hold Largest Share of Market By 2023
Figure 9 Software is Expected to Grow at A Higher CAGR Than Camera Modules By 2023
Figure 10 APAC to Hold the Largest Market Size of Computational Photography Market By 2023
Figure 11 Demand of Computational Photography in High-Resolution Camera Technologies in Digital Still Camera Propels Growth of the Market
Figure 12 Single- and Dual-Lens Cameras Held Largest Share of Computational Photography Market in 2016
Figure 13 Smartphone Camera Held Largest Share of North American Market in 2020
Figure 14 Computational Photography Market in South Korea Expected to Grow at Highest CAGR Between 2017 and 2023
Figure 15 High Demand for Digital Still Cameras With High Resolution as Major Factor Driving Growth of Computational Photography Market
Figure 16 Computational Photography Market, By Application
Figure 17 Smartphone Camera to Hold Largest Size of Market in APAC During Forecast Period
Figure 18 APAC to Hold Largest Size of Computational Photography Market for Smartphone Camera By 2023
Figure 19 Software Market for Machine Vision to Grow at Higher CAGR During Forecast Period
Figure 20 Computational Photography Market, By Type
Figure 21 Single and Dual Lens Camera is Expected to Dominate the Market During the Forecast Period
Figure 22 Computational Photography Market, By Offering
Figure 23 Computational Photography Camera Module Market in North America for Standalone Camera to Grow at Highest CAGR During Forecast Period
Figure 24 Computational Photography Camera Module Market in RoW for Machine Vision to Grow at Highest CAGR During Forecast Period
Figure 25 Computational Photography Software Market in RoW for Standalone Camera to Grow at Highest CAGR During Forecast Period
Figure 26 Computational Photography Market: By Geography
Figure 27 Regional Snapshot: Asia Pacific is the Emerging Market for Computational Photography
Figure 28 Computational Photography Market in North America: Segmentation
Figure 29 North America: Computational Photography Market Snapshot
Figure 30 Europe: Market Segmentation
Figure 31 Europe: Computational Photography Market Snapshot
Figure 32 APAC: Computational Photography Market Segmentation
Figure 33 Asia Pacific: Market Snapshot
Figure 34 RoW: Computational Photography Market Segmentation
Figure 35 Companies Adopted Product Launches and Developments as Key Growth Strategy Between 2013 and 2017
Figure 36 Market Evaluation Framework—Product Launches and Developments Fueled Growth and Innovation Between 2014 and 2016
Figure 37 Apple: Company Snapshot
Figure 38 Alphabet: Company Snapshot
Figure 39 Samsung Electronics: Company Snapshot
Figure 40 Qualcomm Technologies: Company Snapshot
Figure 41 Nvidia: Company Snapshot
Figure 42 Canon: Company Snapshot
Figure 43 Nikon: Company Snapshot
Figure 44 Sony: Company Snapshot
Figure 45 On Semiconductors: Company Snapshot

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