Market Overview:
The global computational photography market is expected to grow at a CAGR of 16.5% during the forecast period from 2018 to 2030. The growth in this market can be attributed to the increasing demand for smartphones and other consumer electronics products that use computational photography technology. Additionally, the increasing demand for machine vision applications is also contributing to the growth of this market. On the basis of type, single-lens cameras are expected to account for a larger share of the global computational photography market than dual-lens cameras during the forecast period. This can be attributed to their lower cost and higher efficiency as compared with dual-lens cameras.
Product Definition:
Computational Photography is the use of computer algorithms to improve or extend the photographic process. This can include techniques such as HDR (high dynamic range) imaging, panoramic stitching, and depth of field effects. Computational photography can also be used to improve image quality by removing noise and artifacts, or by restoring images that have been degraded by compression or other forms of processing.
Single- and Dual-Lens Cameras:
Single- or dual-lens cameras are used to capture still images and moving pictures. The camera has a lens that is capable of performing two functions at the same time; for instance, a normal lens can be used for taking photographs as well as videos. On the other hand, a macro lens can be utilized to take close-up shots.
Lens Cameras:
Lens cameras are standalone devices that capture still images and videos by using the optical lens of the device. The optical lens is used to alter and magnify the image as per requirement. It is widely used in nature studies, macro photography, architecture, interior design and food styling among others.
The advent of digital technology has revolutionized photography with respect to ease of use, storage & transmission along with developing a community for sharing photographs over internet.
Application Insights:
Smartphone camera application segment dominated the global computational photography market in 2017. Computational photography techniques help smartphone manufacturers to enhance picture quality and improve Camera UI/UX. For instance, in November 2017, OPPO announced the launch of a new version of its smartphones with computational photography features. The company introduced a new feature called Super VOOC Flash for low-light conditions which uses AI technology to enhance image quality by 10 times compared to conventional cameras.
Standalone camera application is expected to be the fastest-growing segment over the forecast period owing to increasing demand from high end users who are more comfortable using standalone cameras due largely at least in part also largely at least partly also mainly because they offer additional features such as optical zoom and digital zoom along with other modes such as panorama and slow motion video that require complex imaging algorithms for their implementation.
Regional Analysis:
North America dominated the global market in 2017. The growth can be attributed to the presence of prominent players such as Apple Inc.; Autodesk, Inc.; and Google LLC in this region. Moreover, increasing demand for smartphones with high-quality cameras has been driving regional growth. According to International Data Corporation (IDC) Worldwide Quarterly Device Tracker, smartphone sales grew by double digits from 2016 to 2017 across North America. This factor is expected to continue driving regional demand over the forecast period.
Asia Pacific is anticipated to witness significant growth over the forecast period owing to rising disposable income levels and growing adoption of digital services among consumers in countries such as China and India; thereby boosting industry expansion prospects for camera manufacturers operating on a global scale. Furthermore, increasing investments by companies including Nikon Corporation; Fujifilm Holdings Corporation; Olympus Metals Co., Ltd.; Panasonic Corporation; Sony Corp.; Samsung Electronics Co., Ltd.; Leica Microsystems GmbH &Co.
Growth Factors:
- Increasing demand for computational photography in the consumer electronics sector
- Proliferation of smartphones and tablets that support computational photography features
- Growing demand for 3D imaging and augmented reality applications
- Advances in semiconductor technology that enable more sophisticated algorithms and faster image processing
- Increased research and development spending by camera manufacturers to improve the performance of computational photography
Scope Of The Report
Report Attributes
Report Details
Report Title
Computational Photography Market Research Report
By Type
Single- and Dual-Lens Cameras, Lens Cameras, Others
By Application
Smartphone Camera, Standalone Camera, Machine Vision
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, APAC, Latin America, MEA
Base Year
2021
Historical Year
2019 to 2020 (Data from 2010 can be provided as per availability)
Forecast Year
2030
Number of Pages
188
Number of Tables & Figures
132
Customization Available
Yes, the report can be customized as per your need.
Global Computational Photography Market Report Segments:
The global Computational Photography market is segmented on the basis of:
Types
Single- and Dual-Lens Cameras, Lens Cameras, Others
The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.
Applications
Smartphone Camera, Standalone Camera, Machine Vision
The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.
Some of the companies that are profiled in this report are:
- Alphabet
- Samsung Electronics
- Qualcomm Technologies
- Lytro
- Nvidia
- Canon
- Nikon
- Sony
- On Semiconductors
- Pelican Imaging
- Almalence
- Movidius
- Algolux
- Corephotonics
- Dxo Labs
- Affinity Media
Highlights of The Computational Photography Market Report:
- The market structure and projections for the coming years.
- Drivers, restraints, opportunities, and current trends of market.
- Historical data and forecast.
- Estimations for the forecast period 2030.
- Developments and trends in the market.
- By Type:
- Single- and Dual-Lens Cameras
- Lens Cameras
- Others
- By Application:
- Smartphone Camera
- Standalone Camera
- Machine Vision
- Market scenario by region, sub-region, and country.
- Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
- Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
- Government Policies, Macro & Micro economic factors are also included in the report.
We have studied the Computational Photography Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.
Regional Analysis
- North America
- Europe
- Asia Pacific
- Middle East & Africa
- Latin America
Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.
The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.
How you may use our products:
- Correctly Positioning New Products
- Market Entry Strategies
- Business Expansion Strategies
- Consumer Insights
- Understanding Competition Scenario
- Product & Brand Management
- Channel & Customer Management
- Identifying Appropriate Advertising Appeals
8 Reasons to Buy This Report
- Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
- Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
- Implemented Robust Methodology to Prepare the Report
- Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
- Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
- Provides Information About the Top-winning Strategies Implemented by Industry Players.
- In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
- Customization of the Report Available
Frequently Asked Questions?
Computational photography is a type of photography that uses computers to process and create images. Computational photography can be used to capture images of objects and scenes in ways that wouldn't be possible with traditional cameras.
Some of the major players in the computational photography market are Alphabet, Samsung Electronics, Qualcomm Technologies, Lytro, Nvidia, Canon, Nikon, Sony, On Semiconductors, Pelican Imaging, Almalence, Movidius, Algolux, Corephotonics, Dxo Labs, Affinity Media.
The computational photography market is expected to grow at a compound annual growth rate of 16.5%.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Computational Photography Market Overview
4.1 Introduction
4.1.1 Market Taxonomy
4.1.2 Market Definition
4.1.3 Macro-Economic Factors Impacting the Market Growth
4.2 Computational Photography Market Dynamics
4.2.1 Market Drivers
4.2.2 Market Restraints
4.2.3 Market Opportunity
4.3 Computational Photography Market - Supply Chain Analysis
4.3.1 List of Key Suppliers
4.3.2 List of Key Distributors
4.3.3 List of Key Consumers
4.4 Key Forces Shaping the Computational Photography Market
4.4.1 Bargaining Power of Suppliers
4.4.2 Bargaining Power of Buyers
4.4.3 Threat of Substitution
4.4.4 Threat of New Entrants
4.4.5 Competitive Rivalry
4.5 Global Computational Photography Market Size & Forecast, 2018-2028
4.5.1 Computational Photography Market Size and Y-o-Y Growth
4.5.2 Computational Photography Market Absolute $ Opportunity
Chapter 5 Global Computational Photography Market Analysis and Forecast by Type
5.1 Introduction
5.1.1 Key Market Trends & Growth Opportunities by Type
5.1.2 Basis Point Share (BPS) Analysis by Type
5.1.3 Absolute $ Opportunity Assessment by Type
5.2 Computational Photography Market Size Forecast by Type
5.2.1 Single- and Dual-Lens Cameras
5.2.2 Lens Cameras
5.2.3 Others
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global Computational Photography Market Analysis and Forecast by Applications
6.1 Introduction
6.1.1 Key Market Trends & Growth Opportunities by Applications
6.1.2 Basis Point Share (BPS) Analysis by Applications
6.1.3 Absolute $ Opportunity Assessment by Applications
6.2 Computational Photography Market Size Forecast by Applications
6.2.1 Smartphone Camera
6.2.2 Standalone Camera
6.2.3 Machine Vision
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global Computational Photography Market Analysis and Forecast by Region
7.1 Introduction
7.1.1 Key Market Trends & Growth Opportunities by Region
7.1.2 Basis Point Share (BPS) Analysis by Region
7.1.3 Absolute $ Opportunity Assessment by Region
7.2 Computational Photography Market Size Forecast by Region
7.2.1 North America
7.2.2 Europe
7.2.3 Asia Pacific
7.2.4 Latin America
7.2.5 Middle East & Africa (MEA)
7.3 Market Attractiveness Analysis by Region
Chapter 8 Coronavirus Disease (COVID-19) Impact
8.1 Introduction
8.2 Current & Future Impact Analysis
8.3 Economic Impact Analysis
8.4 Government Policies
8.5 Investment Scenario
Chapter 9 North America Computational Photography Analysis and Forecast
9.1 Introduction
9.2 North America Computational Photography Market Size Forecast by Country
9.2.1 U.S.
9.2.2 Canada
9.3 Basis Point Share (BPS) Analysis by Country
9.4 Absolute $ Opportunity Assessment by Country
9.5 Market Attractiveness Analysis by Country
9.6 North America Computational Photography Market Size Forecast by Type
9.6.1 Single- and Dual-Lens Cameras
9.6.2 Lens Cameras
9.6.3 Others
9.7 Basis Point Share (BPS) Analysis by Type
9.8 Absolute $ Opportunity Assessment by Type
9.9 Market Attractiveness Analysis by Type
9.10 North America Computational Photography Market Size Forecast by Applications
9.10.1 Smartphone Camera
9.10.2 Standalone Camera
9.10.3 Machine Vision
9.11 Basis Point Share (BPS) Analysis by Applications
9.12 Absolute $ Opportunity Assessment by Applications
9.13 Market Attractiveness Analysis by Applications
Chapter 10 Europe Computational Photography Analysis and Forecast
10.1 Introduction
10.2 Europe Computational Photography Market Size Forecast by Country
10.2.1 Germany
10.2.2 France
10.2.3 Italy
10.2.4 U.K.
10.2.5 Spain
10.2.6 Russia
10.2.7 Rest of Europe
10.3 Basis Point Share (BPS) Analysis by Country
10.4 Absolute $ Opportunity Assessment by Country
10.5 Market Attractiveness Analysis by Country
10.6 Europe Computational Photography Market Size Forecast by Type
10.6.1 Single- and Dual-Lens Cameras
10.6.2 Lens Cameras
10.6.3 Others
10.7 Basis Point Share (BPS) Analysis by Type
10.8 Absolute $ Opportunity Assessment by Type
10.9 Market Attractiveness Analysis by Type
10.10 Europe Computational Photography Market Size Forecast by Applications
10.10.1 Smartphone Camera
10.10.2 Standalone Camera
10.10.3 Machine Vision
10.11 Basis Point Share (BPS) Analysis by Applications
10.12 Absolute $ Opportunity Assessment by Applications
10.13 Market Attractiveness Analysis by Applications
Chapter 11 Asia Pacific Computational Photography Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific Computational Photography Market Size Forecast by Country
11.2.1 China
11.2.2 Japan
11.2.3 South Korea
11.2.4 India
11.2.5 Australia
11.2.6 South East Asia (SEA)
11.2.7 Rest of Asia Pacific (APAC)
11.3 Basis Point Share (BPS) Analysis by Country
11.4 Absolute $ Opportunity Assessment by Country
11.5 Market Attractiveness Analysis by Country
11.6 Asia Pacific Computational Photography Market Size Forecast by Type
11.6.1 Single- and Dual-Lens Cameras
11.6.2 Lens Cameras
11.6.3 Others
11.7 Basis Point Share (BPS) Analysis by Type
11.8 Absolute $ Opportunity Assessment by Type
11.9 Market Attractiveness Analysis by Type
11.10 Asia Pacific Computational Photography Market Size Forecast by Applications
11.10.1 Smartphone Camera
11.10.2 Standalone Camera
11.10.3 Machine Vision
11.11 Basis Point Share (BPS) Analysis by Applications
11.12 Absolute $ Opportunity Assessment by Applications
11.13 Market Attractiveness Analysis by Applications
Chapter 12 Latin America Computational Photography Analysis and Forecast
12.1 Introduction
12.2 Latin America Computational Photography Market Size Forecast by Country
12.2.1 Brazil
12.2.2 Mexico
12.2.3 Rest of Latin America (LATAM)
12.3 Basis Point Share (BPS) Analysis by Country
12.4 Absolute $ Opportunity Assessment by Country
12.5 Market Attractiveness Analysis by Country
12.6 Latin America Computational Photography Market Size Forecast by Type
12.6.1 Single- and Dual-Lens Cameras
12.6.2 Lens Cameras
12.6.3 Others
12.7 Basis Point Share (BPS) Analysis by Type
12.8 Absolute $ Opportunity Assessment by Type
12.9 Market Attractiveness Analysis by Type
12.10 Latin America Computational Photography Market Size Forecast by Applications
12.10.1 Smartphone Camera
12.10.2 Standalone Camera
12.10.3 Machine Vision
12.11 Basis Point Share (BPS) Analysis by Applications
12.12 Absolute $ Opportunity Assessment by Applications
12.13 Market Attractiveness Analysis by Applications
Chapter 13 Middle East & Africa (MEA) Computational Photography Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) Computational Photography Market Size Forecast by Country
13.2.1 Saudi Arabia
13.2.2 South Africa
13.2.3 UAE
13.2.4 Rest of Middle East & Africa (MEA)
13.3 Basis Point Share (BPS) Analysis by Country
13.4 Absolute $ Opportunity Assessment by Country
13.5 Market Attractiveness Analysis by Country
13.6 Middle East & Africa (MEA) Computational Photography Market Size Forecast by Type
13.6.1 Single- and Dual-Lens Cameras
13.6.2 Lens Cameras
13.6.3 Others
13.7 Basis Point Share (BPS) Analysis by Type
13.8 Absolute $ Opportunity Assessment by Type
13.9 Market Attractiveness Analysis by Type
13.10 Middle East & Africa (MEA) Computational Photography Market Size Forecast by Applications
13.10.1 Smartphone Camera
13.10.2 Standalone Camera
13.10.3 Machine Vision
13.11 Basis Point Share (BPS) Analysis by Applications
13.12 Absolute $ Opportunity Assessment by Applications
13.13 Market Attractiveness Analysis by Applications
Chapter 14 Competition Landscape
14.1 Computational Photography Market: Competitive Dashboard
14.2 Global Computational Photography Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 Alphabet
14.3.2 Samsung Electronics
14.3.3 Qualcomm Technologies
14.3.4 Lytro
14.3.5 Nvidia
14.3.6 Canon
14.3.7 Nikon
14.3.8 Sony
14.3.9 On Semiconductors
14.3.10 Pelican Imaging
14.3.11 Almalence
14.3.12 Movidius
14.3.13 Algolux
14.3.14 Corephotonics
14.3.15 Dxo Labs
14.3.16 Affinity Media
