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Global Computational Photography Market (2021-2026) by Offering, Type, Product, Application and Geography, Competitive Analysis and the Impact of Covid-19 with Ansoff Analysis

  • ID: 5503493
  • Report
  • November 2021
  • Region: Global
  • 175 pages
  • Infogence Global Research
The Global Computational Photography Market is Estimated to Be USD 12.8 Bn in 2021 and is Expected to Reach USD 34.6 Bn by 2026, Growing at a CAGR of 22%


  • Adobe Inc
  • Alphabet Inc
  • DxO Labs
  • Light Labs Inc
  • NVIDIA Corporation
  • Raytrix GmbH
  • MORE
The Global Computational Photography Market is estimated to be USD 12.8 Bn in 2021 and is expected to reach USD 34.6 Bn by 2026, growing at a CAGR of 22%.

Market Dynamics

Computational photography is primarily concerned with capturing digital pictures and using various processing techniques in place of optical processes. It enhances photos by eliminating motion blur and adding simulated depth of field, color refinement, contrast, and light range using image processing techniques. High Dynamic Range (HDR) imaging using panoramas is a common computational photography technique that ideally integrates information from several pictures that have been stacked and underexposed. The usage of computational photography has grown due to its benefits, including providing better machine vision systems at a cheaper cost and improving photos with better colors, contrast, and lighting approaches.

The rising adoption of smartphone cameras is an essential factor driving market growth because image fusion techniques achieve high-quality images. The increasing disposable incomes, rapid technological advancements, and rising use of high-end algorithms to achieve advanced photography are the other factors driving the computational photography market. Furthermore, the growing use of 4k resolution screens and the rising need for high-resolution computational cameras in machine vision will provide new possibilities for the computational photography market throughout the projected period.

However, growing maintenance expenses and rising manufacturing prices for computational camera modules are essential factors that will hinder industry expansion.

Market Segmentation

The Global Computational Photography Market is segmented further based on Offering, Type, Product, & Application.

By Offering, the market is classified into Camera Modules & Software. The camera module is the most significant contributor to the computational photography market.

By Type, the market is classified into Single- and Dual-Lens Camera, 16- Lens Camera, & Others. Single-and dual-lens to account for the largest market size of the computational photography market.

By Product, the market is classified into Smartphone Cameras, Standalone Cameras, and Machine Vision Cameras. Smartphone cameras account for the largest market size of the computational photography market.

By Vertical, the market is classified into 3D Imaging, Virtual Reality, Augmented Reality, & Mixed Reality. 3D imaging held the largest share of the computational photography market.

By Geography, North America is projected to lead the market.

Recent Developments

1. Algolux Closes USD18.4 Million Series B Round for Robust Computer Vision - 12th July 2021
2. Alphabet Acquires Dysonics - 5th April 2021
3. Samsung Strengthens Its Camera Capabilities Through Corephotonics Acquisition - 11th March 2019

Company Profiles

Some of the companies covered in this report are Adobe, Alphabet, Apple, LG, Microsoft, Qualcomm Technologies, Samsung, Sony, etc.

Competitive Quadrant

The report includes Competitive Quadrant, a proprietary tool to analyze and evaluate the position of companies based on their Industry Position score and Market Performance score. The tool uses various factors for categorizing the players into four categories. Some of these factors considered for analysis are financial performance over the last 3 years, growth strategies, innovation score, new product launches, investments, growth in market share, etc.

Why buy this report?

  • The report offers a comprehensive evaluation of the Global Computational Photography Market. The report includes in-depth qualitative analysis, verifiable data from authentic sources, and projections about market size. The projections are calculated using proven research methodologies.
  • The report has been compiled through extensive primary and secondary research. The primary research is done through interviews, surveys, and observation of renowned personnel in the industry.
  • The report includes an in-depth market analysis using Porter’s 5 forces model and the Ansoff Matrix. In addition, the impact of Covid-19 on the market is also featured in the report.
  • The report also includes the regulatory scenario in the industry, which will help you make a well-informed decision. The report discusses major regulatory bodies and major rules and regulations imposed on this sector across various geographies.
  • The report also contains the competitive analysis using Positioning Quadrants, the analyst’s Proprietary competitive positioning tool.

Report Highlights:

  • A complete analysis of the market, including parent industry
  • Important market dynamics and trends
  • Market segmentation
  • Historical, current, and projected size of the market based on value and volume
  • Market shares and strategies of key players
  • Recommendations to companies for strengthening their foothold in the market
Note: Product cover images may vary from those shown


  • Adobe Inc
  • Alphabet Inc
  • DxO Labs
  • Light Labs Inc
  • NVIDIA Corporation
  • Raytrix GmbH
  • MORE
1 Report Description
1.1 Study Objectives
1.2 Market Definition
1.3 Currency
1.4 Years Considered
1.5 Language
1.6 Key Shareholders

2 Research Methodology
2.1 Research Process
2.2 Data Collection and Validation
2.2.1 Secondary Research
2.2.2 Primary Research
2.2.3 IGR Models
2.3 Market Size Estimation
2.3.1 Bottom-Up Approach
2.3.2 Top-Down Approach
2.4 Assumptions of the Study
2.5 Limitations of the Study

3 Executive Summary
3.1 Introduction
3.2 Market Size and Segmentation
3.3 Market Outlook

4 Market Influencers
4.1 Drivers
4.1.1 Rapid Growth in the Demand for High-Resolution Still Cameras
4.1.2 Adoption of Computational Photography in Smartphone Cameras is Growing
4.1.3 Image Fusion Techniques are Increasingly Being Used to Create High-Quality Pictures
4.2 Restraints
4.2.1 High Cost of Maintenance
4.2.2 Computational Camera Modules Have Expensive Manufacturing Costs
4.3 Opportunities
4.3.1 Image Fusion Technique is Becoming More Popular for Producing High-Quality Images
4.3.2 Displays with 4k Resolution are Becoming More Popular
4.3.3 Machine Vision is an Increasing Demand for High-Resolution Computational Cameras
4.4 Challenges
4.4.1 Miniaturization of Image Sensor Chips is Becoming Increasingly Important
4.5 Trends

5 Market Analysis
5.1 Regulatory Scenario
5.2 Porter’s Five Forces Analysis
5.3 Impact of COVID-19
5.4 Ansoff Matrix Analysis

6 Global Computational Photography Market, By Offering
6.1 Introduction
6.2 Camera Modules
6.3 Software

7 Global Computational Photography Market, By Type
7.1 Introduction
7.2 Single- and Dual-Lens Camera
7.3 16- Lens Camera
7.4 Others

8 Global Computational Photography Market, By Product
8.1 Introduction
8.2 Smartphone Cameras
8.3 Standalone Cameras
8.4 Machine Vision Cameras

9 Global Computational Photography Market, By Application
9.1 Introduction
9.2 3D Imaging
9.3 Virtual Reality
9.4 Augmented Reality
9.5 Mixed Reality

10 Global Computational Photography Market, By Geography
10.1 Introduction
10.2 North America
10.2.1 US
10.2.2 Canada
10.2.3 Mexico
10.3 South America
10.3.1 Brazil
10.3.2 Argentina
10.3.3 Chile
10.3.4 Colombia
10.4 Europe
10.4.1 UK
10.4.2 France
10.4.3 Germany
10.4.4 Italy
10.4.5 Spain
10.4.6 Netherlands
10.4.7 Sweden
10.4.8 Russia
10.4.9 Rest of Europe
10.5 Asia-Pacific
10.5.1 China
10.5.2 Japan
10.5.3 India
10.5.4 Indonesia
10.5.5 Malaysia
10.5.6 South Korea
10.5.7 Australia
10.5.8 Sri Lanka
10.5.9 Thailand
10.5.10 Rest of APAC
10.6 Middle-East and Africa
10.6.1 Qatar
10.6.2 Saudi Arabia
10.6.3 South Africa
10.6.4 United Arab Emirates

11 Competitive Landscape
11.1 IGR Competitive Quadrant
11.2 Market Share Analysis
11.3 Strategic Initiatives
11.3.1 M&A and Investments
11.3.2 Partnerships and Collaborations
11.3.3 Product Developments and Improvements

12 Company Profiles
12.1 Adobe Inc
12.2 Affinity Media
12.3 Algolux
12.4 Almalence Inc
12.5 Alphabet Inc
12.6 Apple Inc
12.7 Canon Inc
12.8 Corephotonics Ltd
12.9 DxO Labs
12.10 HTC Corporation
12.11 Leica Camera Ag
12.12 LG Corporation
12.13 Light Labs Inc
12.14 Microsoft Corporation
12.15 Micron Technologies
12.16 Nikon Corporation
12.17 NVIDIA Corporation
12.18 ON Semiconductor
12.19 Pelican Imaging
12.20 Qualcomm Technologies
12.21 Raytrix GmbH
12.22 Samsung Electronics
12.23 Sony Corporation
12.24 Xperi Corporation

13 Appendix
13.1 Questionnaire

Note: Product cover images may vary from those shown
  • Adobe Inc
  • Affinity Media
  • Algolux
  • Almalence Inc
  • Alphabet Inc
  • Apple Inc
  • Canon Inc
  • Corephotonics Ltd
  • DxO Labs
  • HTC Corporation
  • Leica Camera Ag
  • LG Corporation
  • Light Labs Inc
  • Microsoft Corporation
  • Micron Technologies
  • Nikon Corporation
  • NVIDIA Corporation
  • ON Semiconductor
  • Pelican Imaging
  • Qualcomm Technologies
  • Raytrix GmbH
  • Samsung Electronics
  • Sony Corporation
  • Xperi Corporation
Note: Product cover images may vary from those shown