Worldwide Computational Photography Industry to 2027 – Key Drivers, Restraints, Opportunities and Threats

DUBLIN, Oct. 21, 2020 /PRNewswire/ — The “Computational Photography – Global Market Outlook (2019-2027)” report has been added to’s offering.

According to the report, the Global Computational Photography Market accounted for $10.7 billion in 2019 and is expected to reach $46.01 billion by 2027, growing at a CAGR of 20% 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.

What the 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

Key Topics Covered:

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 Forces 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 Launches

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

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