Market Overview:
The global computational photography camera market is expected to grow at a CAGR of 16.5% during the forecast period from 2018 to 2030. The growth in the market can be attributed to the increasing demand for smartphones and other consumer electronics products that use computational photography cameras. Additionally, the increasing demand for machine vision applications is also contributing to the growth of this market. The global computational photography camera market can be segmented on the basis of type, application and region. On the basis of type, it can be divided into single-lens cameras and dual-lens cameras. Dual-lens cameras are expected to witness higher growth during the forecast period as compared to single-lens cameras owing to their ability to capture high quality images with enhanced depth perception. On the basis of application, it can be classified into smartphone camera, standalone camera and machine vision applications.
Product Definition:
A computational photography camera is a digital camera that uses image processing to improve the clarity, resolution, or dynamic range of pictures. This type of camera is especially important for photography in low-light situations, since it can use software to increase the brightness and detail of images taken in dark environments.
Single- and Dual-Lens Cameras:
Single- or dual-lens cameras are used in computational photography to capture images. These devices have a lens that is capable of focusing on a particular object and taking its picture. Computational photography uses single or dual lenses to produce high-quality digital images with the help of software algorithms instead of using film. The technology has been around for more than two decades, but only recently has it started gaining widespread acceptance among enthusiasts and professionals alike.
16-Lens Cameras:
16-Lens cameras are digital cameras with at least 16 lenses in the optical chain. It is a type of speciality camera that originated from the motion picture industry and has been used to capture some of the most famous movies such as Star Wars, The Lord of the Rings, Indiana Jones etc.
Application Insights:
Smartphone camera application segment dominated the global computational photography camera market in 2017. Computational photography techniques help smartphone cameras to capture high-quality images in low-light conditions. The standalone camera application segment is expected to witness significant growth over the forecast period owing to increasing demand for advanced cameras with features such as 4K video recording capability and long exposure imaging ability. Standalone cameras are widely used by professional photographers for capturing photos at events and occasions, which require a lot of light or shooting moving objects where motion blur is required as an effect.
The machine vision technology segment is projected to register the highest CAGR of XX% from 2018 to 2030 due mainly to its wide applications across various verticals including retail, agriculture, medical diagnostics among others.
Regional Analysis:
North America dominated the global market in 2017. The growth of this region can be attributed to the presence of key players such as Nikon Corporation; Fujifilm Holdings Corporation; and Leica Camera AG. These companies are continuously working on developing advanced cameras with latest technology for capturing high-quality images. Moreover, increasing demand for action sports and wildlife photography has also led to an increase in sales of these cameras over the past few years.
Asia Pacific is expected to witness significant growth over the forecast period owing to rising disposable income among middle-class population groups, which enables them access premium products such as computational photography camera at a lower price range than western counterparts.
Growth Factors:
- Increasing demand for computational photography in the consumer electronics market
- Proliferation of smartphones and tablets
- Advances in camera hardware and software technology
- Growing popularity of social media and photo sharing websites
- Increased demand for 3D imaging
Scope Of The Report
Report Attributes
Report Details
Report Title
Computational Photography Camera Market Research Report
By Type
Single- and Dual-Lens Cameras, 16-Lens Cameras, Others
By Application
Smartphone Camera, Standalone Camera, Machine Vision
By Companies
Alphabet (US), Apple (US), NVIDIA (US), Qualcomm (US), Pelican Imaging (US), Light Labs (US), Algolux (Canada), DxO Labs (France), Almalence (US), Nikon (Japan), Alphabet (US)
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
244
Number of Tables & Figures
171
Customization Available
Yes, the report can be customized as per your need.
Global Computational Photography Camera Market Report Segments:
The global Computational Photography Camera market is segmented on the basis of:
Types
Single- and Dual-Lens Cameras, 16-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 (US)
- Apple (US)
- NVIDIA (US)
- Qualcomm (US)
- Pelican Imaging (US)
- Light Labs (US)
- Algolux (Canada)
- DxO Labs (France)
- Almalence (US)
- Nikon (Japan)
- Alphabet (US)
Highlights of The Computational Photography Camera 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
- 16-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 Camera 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
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- Consumer Insights
- Understanding Competition Scenario
- Product & Brand Management
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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?
A computational photography camera is a type of digital camera that uses algorithms to improve the quality of photographs.
Some of the major companies in the computational photography camera 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), Alphabet (US).
The computational photography camera 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 Camera 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 Camera Market Dynamics
4.2.1 Market Drivers
4.2.2 Market Restraints
4.2.3 Market Opportunity
4.3 Computational Photography Camera 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 Camera 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 Camera Market Size & Forecast, 2020-2028
4.5.1 Computational Photography Camera Market Size and Y-o-Y Growth
4.5.2 Computational Photography Camera Market Absolute $ Opportunity
Chapter 5 Global 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 Market Size Forecast by Type
5.2.1 Single- and Dual-Lens Cameras
5.2.2 16-Lens Cameras
5.2.3 Others
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global 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 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 Camera 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 Camera 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 Analysis and Forecast
9.1 Introduction
9.2 North America 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 Market Size Forecast by Type
9.6.1 Single- and Dual-Lens Cameras
9.6.2 16-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 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 Analysis and Forecast
10.1 Introduction
10.2 Europe 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 Market Size Forecast by Type
10.6.1 Single- and Dual-Lens Cameras
10.6.2 16-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 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 Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific 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 Market Size Forecast by Type
11.6.1 Single- and Dual-Lens Cameras
11.6.2 16-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 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 Analysis and Forecast
12.1 Introduction
12.2 Latin America 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 Market Size Forecast by Type
12.6.1 Single- and Dual-Lens Cameras
12.6.2 16-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 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) Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) 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) Market Size Forecast by Type
13.6.1 Single- and Dual-Lens Cameras
13.6.2 16-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) 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 Camera Market: Competitive Dashboard
14.2 Global Computational Photography Camera Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 Alphabet (US)
14.3.2 Apple (US)
14.3.3 NVIDIA (US)
14.3.4 Qualcomm (US)
14.3.5 Pelican Imaging (US)
14.3.6 Light Labs (US)
14.3.7 Algolux (Canada)
14.3.8 DxO Labs (France)
14.3.9 Almalence (US)
14.3.10 Nikon (Japan)
14.3.11 Alphabet (US)
