Overview and Scope
The computational photography refers to the use of digital software to enhance the photos clicked by the camera. Computational photography is used in digital cameras, particularly in smartphones by automating settings to make for better shooting abilities. Computational photography helps in improving the clarity of images by reducing motion blur and adding simulated depth of field, improving color, light range, and contrast by using image processing algorithms.
Sizing and Forecast
The computational photography market size has grown exponentially in recent years. It will grow from $17.06 billion in 2023 to $21.48 billion in 2024 at a compound annual growth rate (CAGR) of 25.9%. The growth in the historic period can be attributed to rise of mobile photography, increased processing power, demand for high-quality imaging, low-light photography improvements, social media influence on photography.
The computational photography market size is expected to see exponential growth in the next few years. It will grow to $52.25 billion in 2028 at a compound annual growth rate (CAGR) of 24.9%. The growth in the forecast period can be attributed to computational videography, real-time image editing, extended use in professional photography, enhanced night mode features, privacy-focused computational photography. Major trends in the forecast period include AI-based image enhancement, portrait mode and bokeh effects, smart her and dynamic range optimization, multi-lens and multi-sensor systems, super-resolution imaging, collaboration with AR and VR technologies.
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Segmentation & Regional Insights
The computational photography market covered in this report is segmented –
1) By Type: Single And Dual Lens Camera, 16- Lens Camera, Other Types
2) By Offering: Camera Modules, Software
3) By Product: Smartphone Cameras, Standalone Cameras, Machine Vision Cameras
4) By Application: 3D Imaging, Augmented Reality Imaging, Virtual Reality Imaging, Mixed Reality Imaging, Digital Imaging, Other Applications
North America was the largest region in the computational photography market share in 2023. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the computational photography market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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Major Driver Impacting Market Growth
The growth of the smartphone market is expected to propel the growth of the computational photography market in the forecast period. Computational photography is increasing due to rapid improvements in the smartphone cameras such as photo-taking capabilities using 3D technology sensors for high quality. According to the India Brand Equity Foundation blog (IBEF), an Indian Government export promotion agency, as per the National Electronics Policy (NEP), the domestic smartphones market is estimated to reach $ 80 billion by 2025-26, from $ 25.1 billion in 2018-19. Therefore, the growth of the smartphone market will drive the growth of the computational photography market.
Key Industry Players
Major companies operating in the computational photography market report are Apple Inc., Alphabet Inc., Samsung Electronics Co. Ltd., Microsoft Corporation, Huawei Technologies Co. Ltd., Sony Corporation, LG Corp., Intel Corp., Qualcomm Technologies Inc., Semiconductor Components Industries LLC, Canon Inc., NVIDIA Corporation, Adobe Inc., Nikon Corporation, BBK Electronics, Affinity Media, Xperi Corporation, Leica Camera AG, Light Labs Inc., HTC Corporation, CEVA Inc., Lytro Inc., Raytrix GmbH, Corephotonics Ltd., Algolux Inc., Coherent Labs, Almalence Inc., DXO Labs, FotoNation Inc., Pelican Imaging Corporation
The computational photography market report table of contents includes:
1. Executive Summary
2. Computational Photography Market Characteristics
3. Computational Photography Market Trends And Strategies
4. Computational Photography Market – Macro Economic Scenario
5. Global Computational Photography Market Size and Growth
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32. Global Computational Photography Market Competitive Benchmarking
33. Global Computational Photography Market Competitive Dashboard
34. Key Mergers And Acquisitions In The Computational Photography Market
35. Computational Photography Market Future Outlook and Potential Analysis
36. Appendix
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