The computational photography market was valued at USD 10.7 billion in 2019 and is expected to reach USD 29.0 billion by 2024, at a CAGR of 22.0% from 2019 to 2024. The trend of sharing images and videos using advanced media sharing technologies is a major aspect of social networking on a global basis within the smartphone and multimedia tablet ecosystem. Also, the enhancement in the image resolution of sensors along with the technological advancements in camera modules, components, and design is driving the computational photography industry. The growing demand for superior vision technology in the computer vision industry is expected to lay new growth opportunity for computational cameras during the forecast period.
The computational photography market is moderately competitive with a significant presence of multi-national, domestics, and start-up companies. New product launches and developments were the key strategies adopted by players to increase their shares in the computational photography market from 2016 to 2019. Product launches accounted for a share of 61.3% of the overall growth strategies. The computational photography market is concentrated with giant players, allowing them to invest heavily in R&D.
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Apple (US) is the leader in the computational photography market. The company designs, manufactures, and sells mobile communication and media devices, personal computers, and portable digital music players. Apple’s computational photography portfolio consists of iPhone 7 plus, iPhone 8, and iPhone X. The main feature of the iPhone 7 model is the new advanced camera system. It has a 12 MP front camera, optical image stabilization, and 7 MP FaceTime high-definition (HD) camera. The device also offers a dual-lens camera with a Quad-LED tone flash. It has 2X optical zoom and 10X digital zoom, along with portrait mode. In November 2017, the company launched iPhone 8, iPhone 8 plus, and iPhone X. These new versions of the iPhone have computational photography features in their cameras. In September 2019, Apple unveiled its iPhone 11. It will run on the A13 Bionic chips as the Pro models. The chip will deliver faster focusing, finer resolution, and more powerful tone mapping (to preserve detail in challenging lighting). A13 Bionic’s Neural Engine enables computational photography. This chip uses advanced machine learning to do pixel-by-pixel processing of photos, optimizing for texture, details, and noise in every part of the picture. Also, in April 2015, Apple acquired Linx, an Israel-based company that manufactures Camera Modules, to advance in the computational photography market. The company has expertise in producing miniature multi-aperture cameras, specially designed for mobile devices. This acquisition was aimed at improving the company’s camera technology in its devices.
Samsung Electronics is among the leaders in this market. The company is a leading developer and manufacturer of products for markets such as consumer electronics, IT and mobile communications, health and medical equipment, printing solutions, and digital appliances. The company offers Exynos 5 Octa, an image signal processor (ISP). It can process a single 13 MP 30 fps or 24 MP 16 fps Bayer image stream. It includes add-on hardwired post-processing units. This enhances the image quality on the back of Dynamic Range Compensation (DRC), Video Digital Image Stabilization (VDIS), 3-Dimensional Noise Reduction (3DNR), and Face Detection (FD). The hardware of the processor is optimized for the implementation of computational photography applications, including a powerful central processing unit (CPU) and graphics processing unit (GPU). Samsung Electronics has made considerable investments in research and development to come up with products such as the Exynos series. The company is likely to come up with more hardware components related to computational photography in the near future.
Computational Photography Market by Offering (Camera Modules, Software), Type (Single- and Dual-Lens, 16-Lens), Product (Smartphone Cameras, Standalone Cameras, Machine Vision Cameras), Application (3D Imaging, AR, VR, MR), Region - Global Forecast to 2024
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