Computational Photography Market
Computational Photography - Global Market Outlook (2019-2027)
According to Stratistics MRC, the Global Computational Photography Market is accounted for $10.70 billion in 2019 and is expected to reach $46.01 billion by 2027 growing at a CAGR of 20.0% during the forecast period. Increased adoption of computational photography in smartphone cameras, rising disposable incomes and enhanced standard of living are the major factors driving the market growth. However, high maintenance and manufacturing costs of computational camera modules is restraining the market growth.
Computational photography is the process of capturing digital image and applies various processing techniques that use digital computation instead of optical processes. The computational photography is done using digital cameras and especially through smartphones that includes automated settings for making better point-and-shoot abilities. It uses image processing algorithms to improve images by reducing motion blur and also adds simulated depth of field and refining colours, contrast, and light range.
Based on offering, the hardware (camera module) segment is likely to have a huge demand due to the use of AI-based advanced cameras and the growing demand for arrays of cameras in a single product. By geography, Asia Pacific is going to have a lucrative growth during the forecast period. Countries in APAC such as China and Taiwan are leading this region in terms of leading smartphone manufacturers. Advancements in standalone camera segment in Japan, India, South Korea, and Singapore are expected to drive computational photography market in this region.
Some of the key players profiled in the Computational Photography Market include Adobe, Affinity Media, Algolux, Almalence, Apple, Canon, Corephotonics, DXO Labs, HTC, Leica Camera Ag, Light, Microsoft, Nikon, NVIDIA, on Semiconductor, Qualcomm Technologies, Raytrix, Samsung Electronics, Sony and Xperi.
Types Covered:
• 16-Lens Cameras
• Single- and Dual-Lens Cameras
Offerings Covered:
• Hardware (Camera Modules)
• Software
Channels Covered:
• Distributor
• Direct Sales
Products Covered:
• Laptops
• Machine Vision Cameras
• Smartphone Cameras
• Standalone Cameras
Technologies Covered:
• Computational Speckle Imaging
• Defocus Matting
• Fourier Ptychography
• Lensless Imaging
• Motion Magnification
• Multi-Modal Imaging
• Ptychography
• Tone Mapping
Applications Covered:
• 3D Imaging
• Augmented Reality
• Feature Detection
• Geometry/ Material Recovery, and Reflection
• Image Based Relighting
• Image Deblurring/ Refocusing
• Image Enhancement
• Mixed Reality
• Virtual Reality
End Users Covered:
• Research Centers
• Laboratories
• Healthcare
Regions Covered:
• North America
o US
o Canada
o Mexico
• Europe
o Germany
o UK
o Italy
o France
o Spain
o Rest of Europe
• Asia Pacific
o Japan
o China
o India
o Australia
o New Zealand
o South Korea
o Rest of Asia Pacific
• South America
o Argentina
o Brazil
o Chile
o Rest of South America
• Middle East & Africa
o Saudi Arabia
o UAE
o Qatar
o South Africa
o Rest of Middle East & Africa
What our report offers:
- Market share assessments for the regional and country-level segments
- Strategic recommendations for the new entrants
- Covers Market data for the years 2018, 2019, 2020, 2024 and 2027
- Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
- Strategic analysis: Drivers and Constraints, Product/Technology Analysis, Porter’s five forces analysis, SWOT analysis, etc.
- Strategic recommendations in key business segments based on the market estimations
- Competitive landscaping mapping the key common trends
- Company profiling with detailed strategies, financials, and recent developments
- Supply chain trends mapping the latest technological advancements
Free Customization Offerings:
All the customers of this report will be entitled to receive one of the following free customization options:
• Company Profiling
o Comprehensive profiling of additional market players (up to 3)
o SWOT Analysis of key players (up to 3)
• Regional Segmentation
o Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
• Competitive Benchmarking
Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances
Table of Contents
1 Executive Summary
2 Preface
2.1 Abstract
2.2 Stake Holders
2.3 Research Scope
2.4 Research Methodology
2.4.1 Data Mining
2.4.2 Data Analysis
2.4.3 Data Validation
2.4.4 Research Approach
2.5 Research Sources
2.5.1 Primary Research Sources
2.5.2 Secondary Research Sources
2.5.3 Assumptions
3 Market Trend Analysis
3.1 Introduction
3.2 Drivers
3.3 Restraints
3.4 Opportunities
3.5 Threats
3.6 Product Analysis
3.7 Technology Analysis
3.8 Application Analysis
3.9 End User Analysis
3.10 Emerging Markets
3.11 Impact of Covid-19
4 Porters Five Force Analysis
4.1 Bargaining power of suppliers
4.2 Bargaining power of buyers
4.3 Threat of substitutes
4.4 Threat of new entrants
4.5 Competitive rivalry
5 Global Computational Photography Market, By Type
5.1 Introduction
5.2 16-Lens Cameras
5.3 Single- and Dual-Lens Cameras
6 Global Computational Photography Market, By Offering
6.1 Introduction
6.2 Hardware (Camera Modules)
6.3 Software
7 Global Computational Photography Market, By Channel
7.1 Introduction
7.2 Distributor
7.3 Direct Sales
8 Global Computational Photography Market, By Product
8.1 Introduction
8.2 Laptops
8.3 Machine Vision Cameras
8.4 Smartphone Cameras
8.5 Standalone Cameras
9 Global Computational Photography Market, By Technology
9.1 Introduction
9.2 Computational Speckle Imaging
9.3 Defocus Matting
9.4 Fourier Ptychography
9.5 Lensless Imaging
9.6 Motion Magnification
9.7 Multi-Modal Imaging
9.8 Ptychography
9.9 Tone Mapping
10 Global Computational Photography Market, By Application
10.1 Introduction
10.2 3D Imaging
10.3 Augmented Reality
10.4 Feature Detection
10.5 Geometry/ Material Recovery, and Reflection
10.6 Image Based Relighting
10.7 Image Deblurring/ Refocusing
10.8 Image Enhancement
10.9 Mixed Reality
10.10 Virtual Reality
11 Global Computational Photography Market, By End User
11.1 Introduction
11.2 Research Centers
11.3 Laboratories
11.4 Healthcare
12 Global Computational Photography Market, By Geography
12.1 Introduction
12.2 North America
12.2.1 US
12.2.2 Canada
12.2.3 Mexico
12.3 Europe
12.3.1 Germany
12.3.2 UK
12.3.3 Italy
12.3.4 France
12.3.5 Spain
12.3.6 Rest of Europe
12.4 Asia Pacific
12.4.1 Japan
12.4.2 China
12.4.3 India
12.4.4 Australia
12.4.5 New Zealand
12.4.6 South Korea
12.4.7 Rest of Asia Pacific
12.5 South America
12.5.1 Argentina
12.5.2 Brazil
12.5.3 Chile
12.5.4 Rest of South America
12.6 Middle East & Africa
12.6.1 Saudi Arabia
12.6.2 UAE
12.6.3 Qatar
12.6.4 South Africa
12.6.5 Rest of Middle East & Africa
13 Key Developments
13.1 Agreements, Partnerships, Collaborations and Joint Ventures
13.2 Acquisitions & Mergers
13.3 New Product Launch
13.4 Expansions
13.5 Other Key Strategies
14 Company Profiling
14.1 Adobe
14.2 Affinity Media
14.3 Algolux
14.4 Almalence
14.5 Apple
14.6 Canon
14.7 Corephotonics
14.8 DXO Labs
14.9 HTC
14.10 Leica Camera Ag
14.11 Light
14.12 Microsoft
14.13 Nikon
14.14 NVIDIA
14.15 on Semiconductor
14.16 Qualcomm Technologies
14.17 Raytrix
14.18 Samsung Electronics
14.19 Sony
14.20 Xperi
List of Tables
1 Global Computational Photography Market Outlook, By Region (2018-2027) ($MN)
2 Global Computational Photography Market Outlook, By Type (2018-2027) ($MN)
3 Global Computational Photography Market Outlook, By 16-Lens Cameras (2018-2027) ($MN)
4 Global Computational Photography Market Outlook, By Single- and Dual-Lens Cameras (2018-2027) ($MN)
5 Global Computational Photography Market Outlook, By Offering (2018-2027) ($MN)
6 Global Computational Photography Market Outlook, By Hardware (Camera Modules) (2018-2027) ($MN)
7 Global Computational Photography Market Outlook, By Software (2018-2027) ($MN)
8 Global Computational Photography Market Outlook, By Channel (2018-2027) ($MN)
9 Global Computational Photography Market Outlook, By Distributor (2018-2027) ($MN)
10 Global Computational Photography Market Outlook, By Direct Sales (2018-2027) ($MN)
11 Global Computational Photography Market Outlook, By Product (2018-2027) ($MN)
12 Global Computational Photography Market Outlook, By Laptops (2018-2027) ($MN)
13 Global Computational Photography Market Outlook, By Machine Vision Cameras (2018-2027) ($MN)
14 Global Computational Photography Market Outlook, By Smartphone Cameras (2018-2027) ($MN)
15 Global Computational Photography Market Outlook, By Standalone Cameras (2018-2027) ($MN)
16 Global Computational Photography Market Outlook, By Technology (2018-2027) ($MN)
17 Global Computational Photography Market Outlook, By Computational Speckle Imaging (2018-2027) ($MN)
18 Global Computational Photography Market Outlook, By Defocus Matting (2018-2027) ($MN)
19 Global Computational Photography Market Outlook, By Fourier Ptychography (2018-2027) ($MN)
20 Global Computational Photography Market Outlook, By Lensless Imaging (2018-2027) ($MN)
21 Global Computational Photography Market Outlook, By Motion Magnification (2018-2027) ($MN)
22 Global Computational Photography Market Outlook, By Multi-Modal Imaging (2018-2027) ($MN)
23 Global Computational Photography Market Outlook, By Ptychography (2018-2027) ($MN)
24 Global Computational Photography Market Outlook, By Tone Mapping (2018-2027) ($MN)
25 Global Computational Photography Market Outlook, By Application (2018-2027) ($MN)
26 Global Computational Photography Market Outlook, By 3D Imaging (2018-2027) ($MN)
27 Global Computational Photography Market Outlook, By Augmented Reality (2018-2027) ($MN)
28 Global Computational Photography Market Outlook, By Feature Detection (2018-2027) ($MN)
29 Global Computational Photography Market Outlook, By Geometry/ Material Recovery, and Reflection (2018-2027) ($MN)
30 Global Computational Photography Market Outlook, By Image Based Relighting (2018-2027) ($MN)
31 Global Computational Photography Market Outlook, By Image Deblurring/ Refocusing (2018-2027) ($MN)
32 Global Computational Photography Market Outlook, By Image Enhancement (2018-2027) ($MN)
33 Global Computational Photography Market Outlook, By Mixed Reality (2018-2027) ($MN)
34 Global Computational Photography Market Outlook, By Virtual Reality (2018-2027) ($MN)
35 Global Computational Photography Market Outlook, By End User (2018-2027) ($MN)
36 Global Computational Photography Market Outlook, By Research Centers (2018-2027) ($MN)
37 Global Computational Photography Market Outlook, By Laboratories (2018-2027) ($MN)
38 Global Computational Photography Market Outlook, By Healthcare (2018-2027) ($MN)
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.
List of Figures
RESEARCH METHODOLOGY
We at ‘Stratistics’ opt for an extensive research approach which involves data mining, data validation, and data analysis. The various research sources include in-house repository, secondary research, competitor’s sources, social media research, client internal data, and primary research.
Our team of analysts prefers the most reliable and authenticated data sources in order to perform the comprehensive literature search. With access to most of the authenticated data bases our team highly considers the best mix of information through various sources to obtain extensive and accurate analysis.
Each report takes an average time of a month and a team of 4 industry analysts. The time may vary depending on the scope and data availability of the desired market report. The various parameters used in the market assessment are standardized in order to enhance the data accuracy.
Data Mining
The data is collected from several authenticated, reliable, paid and unpaid sources and is filtered depending on the scope & objective of the research. Our reports repository acts as an added advantage in this procedure. Data gathering from the raw material suppliers, distributors and the manufacturers is performed on a regular basis, this helps in the comprehensive understanding of the products value chain. Apart from the above mentioned sources the data is also collected from the industry consultants to ensure the objective of the study is in the right direction.
Market trends such as technological advancements, regulatory affairs, market dynamics (Drivers, Restraints, Opportunities and Challenges) are obtained from scientific journals, market related national & international associations and organizations.
Data Analysis
From the data that is collected depending on the scope & objective of the research the data is subjected for the analysis. The critical steps that we follow for the data analysis include:
- Product Lifecycle Analysis
- Competitor analysis
- Risk analysis
- Porters Analysis
- PESTEL Analysis
- SWOT Analysis
The data engineering is performed by the core industry experts considering both the Marketing Mix Modeling and the Demand Forecasting. The marketing mix modeling makes use of multiple-regression techniques to predict the optimal mix of marketing variables. Regression factor is based on a number of variables and how they relate to an outcome such as sales or profits.
Data Validation
The data validation is performed by the exhaustive primary research from the expert interviews. This includes telephonic interviews, focus groups, face to face interviews, and questionnaires to validate our research from all aspects. The industry experts we approach come from the leading firms, involved in the supply chain ranging from the suppliers, distributors to the manufacturers and consumers so as to ensure an unbiased analysis.
We are in touch with more than 15,000 industry experts with the right mix of consultants, CEO's, presidents, vice presidents, managers, experts from both supply side and demand side, executives and so on.
The data validation involves the primary research from the industry experts belonging to:
- Leading Companies
- Suppliers & Distributors
- Manufacturers
- Consumers
- Industry/Strategic Consultants
Apart from the data validation the primary research also helps in performing the fill gap research, i.e. providing solutions for the unmet needs of the research which helps in enhancing the reports quality.
For more details about research methodology, kindly write to us at info@strategymrc.com
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