Worldwide Computational Photography Industry to 2025 - Android Smartphone to Witness Significant Market Growth - ResearchAndMarkets.com

DUBLIN--(BUSINESS WIRE)--The "Computational Photography Market - Growth, Trends, and Forecast (2020 - 2025)" report has been added to ResearchAndMarkets.com's offering.

The computational photography market is expected to hold a CAGR of 20% during the forecast period 2020 - 2025.

Companies Mentioned

• Apple Inc.
• Alphabet Inc.
• Qualcomm Technologies Inc.
• Nvidia Corporation
• Light Labs Inc.
• CEVA Inc.
• FotoNation Inc.
• Algolux Inc.
• Pelican Imaging Corporation
• Almalence Inc.

Key Market Trends

Android Smartphone to Witness Significant Market Growth

Cellphone photography has come a long way, starting from 0.3 megapixel VGA cameras. Over the past few years, smartphone camera technology has grown exponentially. Currently, smartphone manufacturers talk about Artificial Intelligence (AI) and machine learning for being implemented in their phones. According to Morgan Stanley, with the increasing scope of sale of the android smartphone in the coming years, the implementation of computational photography in more number of brands is highly predictable.

• Qualcomm Spectra ISP technology combined with Computational Photography capabilities can take smartphone pictures to a whole new level of advanced imaging techniques. The next round of machine learning-added computational photography will be seen in both photos and videos.
• At the Snapdragon Tech Summit in 2019, Qualcomm showed off a Snapdragon 865 AI-enabled "image segmentation" feature powered by Morpho software. Flagship smartphones from Huawei and Google to affordable handsets from Xiaomi and Oppo, every brand has focused on introducing some form of intelligence to help make pictures look finer.
• Google's Pixel 4 is an advanced example of how computational photography is driving the future of smartphone cameras. Google unveiled Pixel 4 and Pixel 4 XL, a new version of its popular smartphone, which comes in two screen sizes. While the devices include new hardware features such as an extra camera lens and an infrared face scanner to unlock the phone, Google emphasized the phones' use of so-called computational photography, which automatically processes images to look more professional.
• These new features provide a mode to shoot the night sky and to capture the images of stars. By adding the extra lens, Google built a software feature called Super Res Zoom, allowing users to zoom in more closely on images irrespective of losing much detail. The most significant is Android's Night Sight features in computational photography.

North America to Hold Significant Market Growth

The growth of the smartphone market mainly drives the progress of the computational photography market in North America. Moreover, the presence of market leaders, such as Alphabet, Apple Inc., Light, NVIDIA Corporation, and Qualcomm Inc., is also contributing significantly to the growth of the market in North America.

• With the craze and wait of the new iPhone among the public in the United States, iPhone inhibits the growth of computational photography. In September 2019, Apple released the iPhone 11, where its Deep Fusion photography system arrived as part of Apple's newest developer beta of iOS 13, version 13.2 beta 1. The Deep Fusion is a new image processing pipeline for medium-light images known as computational photography.
• Deep Fusion picks the short-exposure image with the most detail and merges it with the long synthetic exposure. Unlike Smart HDR, Deep Fusion merges these two frames and is processed for noise differently than Smart HDR.
• Further, there is a great importance of high-quality images to detect defects in final products. Machine vision can use computational photography when higher quality imaging with less maintenance is desired. In recent years, the United States experienced rapid growth in machine vision systems, specifically in areas of advanced manufacturing.
• According to AIA (Association for Advancing Automation), the overall North American machine vision market grew from USD1.8 billion in sales in 2010 to USD 2.07 billion till September 2019, including smart cameras sales. Further, the North American machine vision systems market is expected to grow to USD 14 billion by 2025. Driving this growth is the need for improved product inspection and quality control in the manufacturing sector, as well as the growing demand for smarter collaborative robots in manufacturing and warehousing. These factors tend to grow the market of computational photography.

Key Topics Covered:

1 INTRODUCTION

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET DYNAMICS

4.1 Market Overview

4.2 Market Drivers

4.2.1 Growing Adoption of Image Fusion Technique to Achieve High-quality Image

4.2.2 Increasing Demand for High-resolution Computational Cameras in Machine Vision for Autonomous Vehicle

4.3 Market Restraints

4.3.1 High Manufacturing and Maintenance Costs

4.4 Industry Value Chain Analysis

4.5 Industry Attractiveness - Porter's Five Forces Analysis

4.6 Assessment of the Impact of COVID-19 on the Industry

5 MARKET SEGMENTATION

5.1 By Offerings

5.1.1 Camera Modules

5.1.2 Software

5.2 By Type

5.2.1 Single- and Dual-Lens Cameras

5.2.2 16-Lens Cameras

5.3 By Application

5.3.1 Smartphone Cameras

5.3.2 Machine Vision Cameras

5.3.3 Others

5.4 Geography

5.4.1 North America

5.4.2 Europe

5.4.3 Asia-Pacific

5.4.4 Rest of the World

6 COMPETITIVE LANDSCAPE

6.1 Company Profiles

7 INVESTMENT ANALYSIS

8 MARKET OPPORTUNITIES AND FUTURE TRENDS

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