Computational Photography Market Size
| Study Period | 2019 - 2029 |
| Market Size (2024) | USD 20.65 Billion |
| Market Size (2029) | USD 38.12 Billion |
| CAGR (2024 - 2029) | 13.04 % |
| Fastest Growing Market | Asia Pacific |
| Largest Market | North America |
Major Players
*Disclaimer: Major Players sorted in no particular order |
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Computational Photography Market Analysis
The Computational Photography Market size is estimated at USD 20.65 billion in 2024, and is expected to reach USD 38.12 billion by 2029, growing at a CAGR of 13.04% during the forecast period (2024-2029).
- Computational photography enhances images through image processing algorithms by reducing motion blur, incorporating artificial depth of field, and improving color, contrast, and light range.
- The market is driven by the increasing use of the Picture Fusion Method to produce high-quality images. Methods that may objectively, methodically, and statistically analyze or evaluate the performance of various fusion technologies have been recognized as urgently needed since picture fusion techniques have developed quickly in multiple applications in recent years. Improving nighttime color images is crucial to computational photography and computer vision.
- The device has sophisticated computational capabilities that are used in computing imaging. By compressing, enlarging, and mosaicking an image, these software solutions enhance and extend the capabilities of computational photography-based devices. Smartphones enable amateur photographers to create photographs of higher quality as computational photography technology develops.
- Additionally, during the forecast period, the industry for computer cameras is anticipated to experience growth due to improvements in sensor image resolution, technological innovation in camera modules, components, and design, and a rise in demand for superior vision technology in the computer vision sector.
- However, the market growth of computational camera modules is held back by high maintenance and manufacturing costs. Mobile phone prices rise as smartphone vendors strive to improve image quality.
- The global market for computational photography was considerably disrupted by the COVID-19 epidemic. The development of new initiatives around the globe halted, which consequently reduced the market for analog semiconductors.
Computational Photography Market Trends
Smartphone Cameras to Witness Significant Market Growth
- Computational photography is now available in-camera software and camera modules for standalone cameras, machine vision cameras, standalone cameras for smartphones, mixed reality imaging, digital imaging, augmented reality imaging, and other applications.
- The growing use of software-based imaging techniques in machine vision, the development of 4K and super HD technologies, the penetration of smartphones, and the adoption of high-end smartphones with sophisticated cameras.
- Moreover, computational photography uses computer software to improve pictures produced by cameras. It is primarily utilized in cell phones. In reality, computational photography produces the stunning photographs people see in their smartphone photo galleries.
- The ability to take pictures on smartphones has increased over the past ten years, and the cameras have advanced rapidly in recent years. Mobile phone manufacturers are announcing their plans to include machine learning and artificial intelligence (AI) in their products.
- Instead of modifying the camera sensor, the fast progress in smartphone cameras over the past few years may largely be credited to better software. Several smartphone producers, such as Apple and Google, consistently enhance the photo-taking capabilities of their products year after year without ever significantly modifying the actual camera sensors.
Asia Pacific region is set to witness highest market growth
The market for computational photography is predicted to see rapid growth and a surge in the number of Chinese manufacturers like Huawei and Xiaomi.
- These companies develop sophisticated AI-based cameras with potent chipsets and processors for cutting-edge image applications. However, the adoption of computational cameras over DSLR cameras in other nations like India, South Korea, Australia, and Japan will primarily depend on pricing practices and public understanding of these advantages.
- An important driver boosting market expansion in the region is the increasing usage of computational photography in smartphone cameras, the growing use of image fusion techniques to produce high-quality photographs, and high-end algorithms to have sophisticated photography.
- Computational photography has grown throughout the region due to its benefits, which include providing better machine vision systems at a reduced cost and upgrading photographs with better color, contrast, and lighting techniques. The popular computational photography technique, HDR (High Dynamic Range) Imaging with Panoramic, effectively combines data from several overlapping and underexposed shots that are exposed differently.
Computational Photography Industry Overview
The computational photography market is fragmented, and the major players have used strategies such as new product launches, agreements, partnerships, acquisitions, and others to increase their footprints in this market. Key players are Alphabet Inc., Apple Inc., etc.
In February 2023, Qualcomm Technologies, Inc and Samsung Partner announced a collaboration. They launched Snapdragon 8 Gen 2 for Galaxy powers Samsung Galaxy S23 series globally, bringing accelerated performance, making it the fastest Snapdragon ever, and defining a new standard for connected computing, including desktop-level gaming features, professional-grade photography, and more to consumers around the world. In contrast, the Galaxy S23 series launch underscores Qualcomm Technologies and Samsung's mutual commitment to delivering premium consumer experiences for flagship Galaxy devices.
In September 2022, Apple announced the iPhone 14 Pro and iPhone 14 Pro Max, the most advanced Pro lineup, featuring Dynamic Island. This new design introduces an intuitive way to experience iPhone and the Always-On display, iPhone 14 Pro introduces a new class of pro camera system, with the first-ever 48MP Main camera on iPhone featuring a quad-pixel sensor and Photonic Engine. This enhanced image pipeline dramatically improves low-light photos.
Computational Photography Market Leaders
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Apple Inc.
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Alphabet Inc.
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Qualcomm Technologies, Inc.
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Nvidia Corporation
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Light Labs Inc.
*Disclaimer: Major Players sorted in no particular order
Computational Photography Market News
- February 2023: Qualcomm Technologies has announced the 6th generation modem-to-antenna solution is the first ready to support 5G Advanced, the next phase of 5G. It introduces a new architecture and software suite and includes numerous world's first features to push the boundaries of connectivity, including coverage, latency, power efficiency, and mobility. Snapdragon X75 technologies and innovations empower OEMs to create next-generation experiences across segments, including smartphones, mobile broadband, automotive, compute, industrial IoT, fixed wireless access, and 5G private networks.
- September 2022: Nvidia Corporation announced introducing new Jetson Orin Nano system-on-modules that give up to 80x the performance of the previous generation, expanding the Nvidia Jetson family and establishing a new benchmark for entry-level edge AI and robotics.
Computational Photography Market Report - Table of Contents
1. INTRODUCTION
- 1.1 Study Assumptions and Market Definition
- 1.2 Scope of the Study
2. RESEARCH METHODOLOGY
3. EXECUTIVE SUMMARY
4. MARKET INSIGHTS
- 4.1 Market Overview
- 4.2 Industry Value Chain Analysis
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4.3 Industry Attractiveness - Porter's Five Forces Analysis
- 4.3.1 Threat of New Entrants
- 4.3.2 Bargaining Power of Buyers/Consumers
- 4.3.3 Bargaining Power of Suppliers
- 4.3.4 Threat of Substitute Products
- 4.3.5 Intensity of Competitive Rivalry
- 4.4 Assessment of the Impact of COVID-19 on the Industry
5. MARKET DYNAMICS
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5.1 Market Drivers
- 5.1.1 Growing Adoption of Image Fusion Technique to Achieve High-quality Image
- 5.1.2 Increasing Demand for High-resolution Computational Cameras in Machine Vision for Autonomous Vehicle
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5.2 Market Restraints
- 5.2.1 High Manufacturing and Maintenance Costs
6. MARKET SEGMENTATION
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6.1 By Offerings
- 6.1.1 Camera Modules
- 6.1.2 Software
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6.2 By Type
- 6.2.1 Single- and Dual-Lens Cameras
- 6.2.2 16-Lens Cameras
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6.3 By Application
- 6.3.1 Smartphone Cameras
- 6.3.2 Machine Vision Cameras
- 6.3.3 Other Applications
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6.4 By Geography
- 6.4.1 North America
- 6.4.2 Europe
- 6.4.3 Asia-Pacific
- 6.4.4 South America
- 6.4.5 Rest of the World
7. COMPETITIVE LANDSCAPE
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7.1 Company Profiles
- 7.1.1 Apple Inc.
- 7.1.2 Alphabet Inc.
- 7.1.3 Qualcomm Technologies Inc.
- 7.1.4 Nvidia Corporation
- 7.1.5 Light Labs Inc.
- 7.1.6 CEVA Inc.
- 7.1.7 FotoNation Inc.
- 7.1.8 Algolux Inc.
- 7.1.9 Pelican Imaging Corporation
- 7.1.10 Almalence Inc.
- *List Not Exhaustive
8. INVESTMENT ANALYSIS
9. MARKET OPPORTUNITIES AND FUTURE TRENDS
** Subject To AvailablityComputational Photography Industry Segmentation
Computational photography refers to the digital image capture and processing techniques that use digital computation instead of optical processes providing its offerings in camera modules and software in the market under smartphone cameras and machine vision camera applications.
The Computational Photography market is segmented by offerings (camera modules, software), type (single- and dual-lens cameras, 16-lens cameras), application (smartphone cameras, machine vision cameras), and geography (North America, Europe, Asia-Pacific, Rest of the World). The market sizes and forecasts are provided in terms of value (USD) for all the above segments.
| By Offerings | Camera Modules |
| Software | |
| By Type | Single- and Dual-Lens Cameras |
| 16-Lens Cameras | |
| By Application | Smartphone Cameras |
| Machine Vision Cameras | |
| Other Applications | |
| By Geography | North America |
| Europe | |
| Asia-Pacific | |
| South America | |
| Rest of the World |
Computational Photography Market Research FAQs
How big is the Computational Photography Market?
The Computational Photography Market size is expected to reach USD 20.65 billion in 2024 and grow at a CAGR of 13.04% to reach USD 38.12 billion by 2029.
What is the current Computational Photography Market size?
In 2024, the Computational Photography Market size is expected to reach USD 20.65 billion.
Who are the key players in Computational Photography Market?
Apple Inc., Alphabet Inc., Qualcomm Technologies, Inc., Nvidia Corporation and Light Labs Inc. are the major companies operating in the Computational Photography Market.
Which is the fastest growing region in Computational Photography Market?
Asia Pacific is estimated to grow at the highest CAGR over the forecast period (2024-2029).
Which region has the biggest share in Computational Photography Market?
In 2024, the North America accounts for the largest market share in Computational Photography Market.
What years does this Computational Photography Market cover, and what was the market size in 2023?
In 2023, the Computational Photography Market size was estimated at USD 18.27 billion. The report covers the Computational Photography Market historical market size for years: 2019, 2020, 2021, 2022 and 2023. The report also forecasts the Computational Photography Market size for years: 2024, 2025, 2026, 2027, 2028 and 2029.
Computational Photography Industry Report
Statistics for the 2024 Computational Photography market share, size and revenue growth rate, created by Mordor Intelligence™ Industry Reports. Computational Photography analysis includes a market forecast outlook to 2029 and historical overview. Get a sample of this industry analysis as a free report PDF download.
