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Computational Photography Market - Forecast(2024 - 2030)
Computational Photography Market Overview
Computational Photography Market is analysed to grow at a CAGR of 12.9% during the forecast 2021-2026 to reach $15.7 billion by 2026. Nowadays, Computational photography is responsible for most of the amazing strides our smartphone cameras have taken in the last decade. Computational photography uses digital software to enhance the photos taken by a camera. It is most prominently used in smartphones. In fact, computational photography does the heavy lifting to create the great-looking images which users see in their smartphone photo gallery. The rapid improvement in smartphone cameras over the last few years can largely be attributed to improving software, rather than changes to the physical camera sensor. Some smartphone manufacturers, like Apple and Google, continuously improve the photo-taking capabilities of their devices year after year without ever drastically changing the physical camera sensors. Computational photography offers users with high quality 3D images, digital images and other high dynamic range images. With the advancement in technology, computational photography are now being used for applications as Machine vision cameras. This wide range of user applications tend to enhance the global Computational Photography Market size in the forecast period.
Computational Photography Market Report Coverage
The report: “Computational Photography Industry Outlook – Forecast (2021-2026)”, by IndustryARC covers an in-depth analysis of the following segments of the Computational Photography Market.
By Offering: Camera Modules and Software.
By Product Type: Smartphone Camera, Standalone Camera and Machine Vision Camera.
By Lens Type: Single Lens Camera, Dual Lens Camera, 16-Lens Camera and Others.
By Applications: 3D Imaging, Augmented Reality Imaging, Virtual Reality Imaging, Mixed Reality Imaging, Digital Imaging and Others.
By Geography: North America(U.S., Canada and Mexico); Europe(U.K., Germany, Italy, France, Spain, Russia, Rest of Europe); APAC (China, Japan, South Korea, India, Australia, Rest of APAC); South America(Brazil, Argentina, Rest of Americas); RoW (Middle East & Africa).
Key Takeaways
- Growing number of Smartphone users and the rising demand of high quality in-built cameras for image capturing applications across the globe is analysed to significantly drive the market during the forecast period 2021-2026.
- Smartphone Cameras is analysed to hold significant share in 2020 owing to the increasing number of smartphone users across the globe. This tend to bring major growth in the demand of high efficient computational photography systems in the global level further propelling the Computational Photography Market growth.
- 3D Imaging is expected to hold the highest market share in the forecast period owing to rise in the demand of high-definition images with realistic visual experience of images at various end-use applications.
- Asia-Pacific is analysed to grow at highest CAGR during the forecast period owing to the availability of largest population as compared to other regions. This high number of population further boosts the number of smartphone users which is major driving factor of Computational Photography Market.
Global Computational Photography Market Share, By Region, 2020 (%)
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Computational Photography Market Segment Analysis - By Product Type
By Product Type, the Computational Photography Market Report is segmented into Smartphone Camera, Standalone Camera and Machine Vision Camera. Smartphone Cameras are analysed to hold highest share and grow at highest CAGR of 13.8% during the forecast period 2021-2026 owing to increasing number of smartphone users across the globe. The rising adoption of computational photography in smartphone cameras is an essential factor accelerating the market growth, also rising adoption of image fusion technique to achieve high-quality image and rising use of high-end algorithms to achieve advanced photography are the major factors among others boosting the computational photography market in Smartphone camera among others. Moreover, growing adoption of displays with 4k resolution standard and rising demand for high-resolution computational cameras in machine vision will further create new opportunities for computational photography market in the forecast period.
Computational Photography Market Segment Analysis - By Applications
By Applications, the Computational Photography Market Report is segmented into 3D Imaging, Augmented Reality Imaging, Virtual Reality Imaging, Mixed Reality Imaging, Digital Imaging and Others. 3D Imaging is analysed to grow at highest CAGR of 10.4% during the forecast period 2021-2026. Computational photography cameras can be used for capturing images of a particular object from which a model of the scene can be generated automatically. A wide range of possible changes can be explored interactively and previewed on-set, including scene geometry and textures with the help of this technology. With advances in computer vision technology, it has become possible to capture 3D images using many different sensors and, in the application, to extract deep information with the help of realistic visual experience. These features of computational photography have brought a significant growth for 3D imaging applications in the global market.
Computational Photography Market Segment Analysis – By Geography
North America is analysed to be the major region with a share of 30% in 2020 for the Computational Photography Market owing to the presence of tech-giants in the Computational photography business such as Alphabet Inc., Apple, Inc., Light, NVIDIA Corporation, Qualcomm, Inc. and many others. Moreover, North America holds a huge market for wide range of industrial automation products which further boost the scope for Machine vision camera in automation sector. This further enhances the demand of computational photography system in this region. However, Asia-Pacific region is analysed to grow at highest rate during the forecast period 2021-2026 majorly attributed to the availability of largest population as compared to other regions. This high number of populations further boosts the number of smartphone users which is major driving factor of Computational Photography Market.
Computational Photography Market Drivers
Growing number of Smartphone users:
The growing number of smartphone users across the globe has brought a significant growth in the Computational Photography Market. According to Consumer Technology Association (CTA), Smartphones sales reached 166 million units with a 2% increase and earned $79 billion dollars in revenue with up to 3% increase in 2020. 5G smartphones hit their stride, with 20.3 million units sold and generate $15.3 billion in revenue with the build out of U.S. The computational photography market is driven primarily by the rising sales of smartphones equipped advanced cameras with artificial intelligence capabilities. Smartphone-based computational cameras are displaying significant changes in the market. There is a high impact of computational cameras in the smartphones market. Computational photography is now evolving in smartphones such as Apple, Google, and Samsung. This increasing number of smartphone sales further brings major scope for the growth of Computational photography in global market.
Growing adoption of Image Fusion technology:
Growing adoption of the Image Fusion Technique to achieve a high-quality image especially in the Standalone cameras is a major factor for Computational photography market growth. Since image fusion techniques have been developing fast in various types of applications in recent years such as methods that different fusion technologies can objectively, systematically, and quantitatively examine the image and provide user with high quality images as per user’s requirement. The night colour image enhancement is of great importance in both computational photography and computer vision. Moreover, with the technological advancement in computational photography, this technology is now being used in Machine vision cameras as well for various applications in the industrial automation sector. This features tend to drive the Computational Photography Market growth in forecast period.
Computational Photography Market Challenges
High maintenance cost and Lack of professionalism:
The increasing cost of maintenance along with rising manufacturing costs of computational camera modules is the vital factor among others which is expected to bring major challenges in the Computational photography market growth in the forecast period. The computational photography camera modules must be stored in a safe place to reduce damages as they are prone to severe heat and moisture. This can do major damages in its working and harm its operational life. Moreover, to avail a high resolution image using computation photography system, the user must be skilled to achieve images as per requirement. These drawbacks tend to restrain the market growth of computational photography in the global market.
Computational Photography Market Landscape
Product launches, acquisitions, and R&D activities are key strategies adopted by players in the Computational Photography Market. The Computational photography top 10 companies includes Affinity Media, Algolux, Almalence, Alphabet Inc., Apple Inc., Canon, Oppo, Nikon, NVIDIA Corporation, Qualcomm Technologies, Samsung Electronics, Sony Corp. among others.
Acquisitions/Technology Launches/Partnerships
- In July 2021, Oppo Mobile Telecommunications Corp., launched Reno6 which will be the first smartphone series to achieve cinematic bokeh using computational photography techniques.
- Reno6 series is set to provide the new era of smartphone videography with its industry-first Bokeh Flare Portrait Video feature.
Relevant Report Titles:
Report Code: ITR 39742
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1. Computational Photography Market Overview
1.1 Definitions and Scope
2. Computational Photography Market- Executive Summary
2.1 Market Revenue, Market Size and Key Trends by Company
2.2 Key trends By Service Type
2.3 Key trends segmented by Geography
3. Computational Photography Market
3.1 Comparative Analysis
3.1.1 Product/Service Benchmarking-Top 5 Companies
3.1.2 Top 5 Financial Analysis
3.1.3 Market Value Split by Top 5 Companies
3.1.4 Patent Analysis
3.1.5 Pricing Analysis
4. Computational Photography Market– By Startup Company Scenario (Premium)
4.1 Investment
4.2 Revenue
4.3 Venture Capital Funding
5. Computational Photography Market– By Industry Market Entry Scenario Premium (Premium)
5.1 Regulatory Framework
5.2 Customer Analysis
5.3 Case Studies
5.4 Ease of Doing Business Index
6. Computational Photography Market- Market Forces
6.1 Market Drivers
6.2 Market Constraints/Challenges
6.3 Porters five force model
6.3.1 Bargaining power of suppliers
6.3.2 Bargaining powers of customers
6.3.3 Network of new entrants
6.3.4 Rivalry among existing players
6.3.5 Network of substitutes
7. Computational Photography Market– By Strategic Analysis (Market Size -$Million/Billion)
7.1 Value Chain Analysis
7.2 Opportunities Analysis
7.3 Product Life Cycle/Market Life Cycle Analysis
7.4 Suppliers and Distributors
8. Computational Photography Market– By Offering
8.1 Camera Modules
8.2 Software
9. Computational Photography Market– By Product Type
9.1 Smartphone Cameras
9.2 Standalone Camera
9.3 Machine Vision Camera
10. Computational Photography Market– By Lens Type
10.1 Single Lens Camera
10.2 Dual Lens Camera
10.3 16-Lens Camera
10.4 Others
11. Computational Photography Market– By Applications
11.1 3D Imaging
11.2 Augmented Reality Imaging
11.3 Virtual Reality Imaging
11.4 Mixed Reality Imaging
11.5 Digital Imaging
11.6 Others
12. Computational Photography Market– By Region
12.1 North America
12.1.1 U.S
12.1.2 Canada
12.1.3 Mexico
12.2 South America
12.2.1 Brazil
12.2.2 Argentina
12.2.3 Rest of South America
12.3 Europe
12.3.1 Germany
12.3.2 France
12.3.3 UK
12.3.4 Italy
12.3.5 Spain
12.3.6 Russia
12.3.7 Rest of Europe
12.4 APAC
12.4.1 China
12.4.2 Japan
12.4.3 South Korea
12.4.4 India
12.4.5 Australia
12.4.6 Rest of APAC
12.5 RoW
12.5.1 Middle East
12.5.2 Africa
13. Computational Photography Market- Industry Landscape Analysis (Premium)
13.1 Market Share by Region
13.2 Market Share by Industry
13.3 Market Share by Type
14. Computational Photography Market- Key Companies by Country (Premium)
15. Computational Photography Market Entropy
15.1 New Product Launches
15.2 M&As, Collaborations, JVs and Partnerships
16. Computational Photography Market- Company Analysis
16.1 Affinity Media
16.2 Algolux
16.3 Alphabet Inc.
16.4 Apple Inc.
16.5 Canon,
16.6 Oppo
16.7 Nikon
16.8 NVIDIA Corporation
16.9 Qualcomm Technologies
16.10 Samsung Electronics
16.11 Sony Corp.
LIST OF TABLES
1.Global Computational Photography Market By Type Market 2019-2024 ($M)1.1 Single- & Dual-Lens Cameras Market 2019-2024 ($M) - Global Industry Research
1.2 16-Lens Cameras Market 2019-2024 ($M) - Global Industry Research
2.Global Computational Photography Market By Type Market 2019-2024 (Volume/Units)
2.1 Single- & Dual-Lens Cameras Market 2019-2024 (Volume/Units) - Global Industry Research
2.2 16-Lens Cameras Market 2019-2024 (Volume/Units) - Global Industry Research
3.North America Computational Photography Market By Type Market 2019-2024 ($M)
3.1 Single- & Dual-Lens Cameras Market 2019-2024 ($M) - Regional Industry Research
3.2 16-Lens Cameras Market 2019-2024 ($M) - Regional Industry Research
4.South America Computational Photography Market By Type Market 2019-2024 ($M)
4.1 Single- & Dual-Lens Cameras Market 2019-2024 ($M) - Regional Industry Research
4.2 16-Lens Cameras Market 2019-2024 ($M) - Regional Industry Research
5.Europe Computational Photography Market By Type Market 2019-2024 ($M)
5.1 Single- & Dual-Lens Cameras Market 2019-2024 ($M) - Regional Industry Research
5.2 16-Lens Cameras Market 2019-2024 ($M) - Regional Industry Research
6.APAC Computational Photography Market By Type Market 2019-2024 ($M)
6.1 Single- & Dual-Lens Cameras Market 2019-2024 ($M) - Regional Industry Research
6.2 16-Lens Cameras Market 2019-2024 ($M) - Regional Industry Research
7.MENA Computational Photography Market By Type Market 2019-2024 ($M)
7.1 Single- & Dual-Lens Cameras Market 2019-2024 ($M) - Regional Industry Research
7.2 16-Lens Cameras Market 2019-2024 ($M) - Regional Industry Research
LIST OF FIGURES
1.US Computational Photography Market Revenue, 2019-2024 ($M)2.Canada Computational Photography Market Revenue, 2019-2024 ($M)
3.Mexico Computational Photography Market Revenue, 2019-2024 ($M)
4.Brazil Computational Photography Market Revenue, 2019-2024 ($M)
5.Argentina Computational Photography Market Revenue, 2019-2024 ($M)
6.Peru Computational Photography Market Revenue, 2019-2024 ($M)
7.Colombia Computational Photography Market Revenue, 2019-2024 ($M)
8.Chile Computational Photography Market Revenue, 2019-2024 ($M)
9.Rest of South America Computational Photography Market Revenue, 2019-2024 ($M)
10.UK Computational Photography Market Revenue, 2019-2024 ($M)
11.Germany Computational Photography Market Revenue, 2019-2024 ($M)
12.France Computational Photography Market Revenue, 2019-2024 ($M)
13.Italy Computational Photography Market Revenue, 2019-2024 ($M)
14.Spain Computational Photography Market Revenue, 2019-2024 ($M)
15.Rest of Europe Computational Photography Market Revenue, 2019-2024 ($M)
16.China Computational Photography Market Revenue, 2019-2024 ($M)
17.India Computational Photography Market Revenue, 2019-2024 ($M)
18.Japan Computational Photography Market Revenue, 2019-2024 ($M)
19.South Korea Computational Photography Market Revenue, 2019-2024 ($M)
20.South Africa Computational Photography Market Revenue, 2019-2024 ($M)
21.North America Computational Photography By Application
22.South America Computational Photography By Application
23.Europe Computational Photography By Application
24.APAC Computational Photography By Application
25.MENA Computational Photography By Application
26.Key Players, Sales /Revenue, 2015-2018 ($Mn/$Bn)
27.Key Innovators, Sales /Revenue, 2015-2018 ($Mn/$Bn)