The Business Research Company’s report on the Computational Photography Market provides insights into the global market size, growth rate, regional distribution, competitive landscape, key segments, emerging trends, and strategic opportunities.
#How have key drivers contributed to the rapid growth of the computational photography market?
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. For instance, in January 2022, according to the Consumer Technology Association (CTA), a US-based trade organization, smartphone shipments are projected to reach 154.1 million units with $74.7 billion in revenues in 2022, marking a 3% growth from 2021’s 149.6 million units. Therefore, the growth of the smartphone market will drive the growth of the computational photography market.
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How has the computational photography market size evolved, and what are the latest forecasts for its expansion?
The computational photography market size has grown exponentially in recent years. It will grow from $21.34 billion in 2024 to $26.81 billion in 2025 at a compound annual growth rate (CAGR) of 25.6%. 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 $64.86 billion in 2029 at a compound annual growth rate (CAGR) of 24.7%. 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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Which major companies dominate the computational photography market?
Major companies operating in the computational photography market include Apple Inc., Alphabet Inc., Samsung Electronics Co. Ltd., Microsoft Corporation, Huawei Technologies Co. Ltd., Sony Corporation, LG Corp., Qualcomm Technologies Inc., Canon Inc., NVIDIA Corporation, Adobe Inc., Nikon Corporation, BBK Electronics, Xperi Corporation, Leica Camera AG, Light Labs Inc., HTC Corporation, CEVA Inc., Raytrix GmbH, Corephotonics Ltd., Algolux Inc., Coherent Labs, Almalence Inc., DXO Labs, FotoNation Inc.
What trends will shape the future of the compression wear and shapewear market?
Major companies operating in the computational photography industry are adopting a strategic partnership approach to provide innovative solutions and enhance their offerings. Strategic partnerships refer to a process in which companies leverage each other’s strengths and resources to achieve mutual benefits and success. For instance, in September 2023, Sony Semiconductor-LYTIA, a Japan-based company that develops semiconductors, laser diodes, and imaging sensors, partnered with OPPO, a China-based consumer electronics company. This collaboration aims to find that N3 holds significant promise for elevating computational photography, and by combining advanced hardware and software expertise, they aim to deliver exceptional image quality, particularly in low-light scenarios, and set new standards for smartphone photography.
Which region dominates the computational photography market, and what factors contribute to its leadership?
North America was the largest region in the computational photography market share in 2024. 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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How is the computational photography market segmented, and which segment holds the largest share?
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
Subsegments:
1) By Single And Dual Lens Camera: Single Lens Cameras, Dual Lens Cameras
2) By 16-Lens Camera: Multi-lens Systems, Multi-Lens Systems
3) By Other Types: 360-Degree Cameras, Light Field Cameras, Stereoscopic Cameras
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How is the computational photography market defined?
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.
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