Computational Photography Comprehensive Study by Type (Single- and Dual-Lens Camera, 16- Lens Camera, Others), Application (3D Imaging, Virtual Reality, Augmented Reality, Mixed Reality), Cameras (Smartphone Cameras, Standalone Cameras, Machine Vision Cameras), Offering (Camera Modules, Software) Players and Region - Global Market Outlook to 2024

Computational Photography Market by XX Submarkets | Forecast Years 2022-2027  

  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
Industry Background:
Computational photography refers to digital image capture and processing technology. It uses digital computation instead of optical processes. In the last few decades, the evolution of the camera has been truly remarkable. For instance, the computational camera uses a combination of software and optics to produce images. The computational photography market has high growth prospects owing to the increasing demand for smartphone cameras. Moreover, increasing demand for high-resolution still cameras and growing demand for computational cameras for machine vision expected to fuel the market growth during the forecasted period.This growth is primarily driven by Increasing Demand of High-Resolution Still Cameras, Rising Application in the Smartphone Cameras and The growth of the smartphone market supplementing the growth of computational photography market. Manufacturers are focusing on integrating advanced features such as better HDR, low-light photography, improved zoom, and portrait modes in smartphone cameras driving the demand for the computational photography market..

Globally, a noticeable market trend is evident Increasing Application of Image Fusion Technique in Computational Cameras. Major Vendors, such as Apple (United States), Samsung (South Korea), Nvidia (United States), Qualcomm (United States), Adobe (United States), Nikon (Japan), Sony (Japan), LG (South Korea), Light (United States), Canon (Japan), On Semiconductor (United States), Sony (Japan), HTC (Taiwan), Corephotonics (Israel), DXO Labs (France), Xperi (United States) and Affinity Media (United States) etc have either set up their manufacturing facilities or are planning to start new provision in the dominated region in the upcoming years.

Market Drivers
  • Increasing Demand of High-Resolution Still Cameras
  • Rising Application in the Smartphone Cameras
  • The growth of the smartphone market supplementing the growth of computational photography market. Manufacturers are focusing on integrating advanced features such as better HDR, low-light photography, improved zoom, and portrait modes in smartphone cameras driving the demand for the computational photography market.

Market Trend
  • Increasing Application of Image Fusion Technique in Computational Cameras

Restraints
  • High Manufacturing Cost of Computational Cameras

Opportunities
Increasing Demand of Displays with 4k Resolution Standard and Growing Demand of Computational Cameras for Machine Vision
Challenges
Miniaturization of Image Sensor Chips in Computational Cameras

AdvanceMarketAnalytics follow a focused and realistic research framework that provides the ability to study the crucial market dynamics in several regions across the world. Moreover, an in-depth assessment is mostly conducted by our analysts on geographical regions to provide clients and businesses the opportunity to dominate in niche markets and expand in emerging markets across the globe. This market research study also showcase the spontaneously changing Vendors landscape impacting the growth of the market. Furthermore, our market researchers extensively analyse the products and services offered by multiple players competing to increase their market share and presence.

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Report Objectives / Segmentation Covered

By Type
  • Single- and Dual-Lens Camera
  • 16- Lens Camera
  • Others
By Application
  • 3D Imaging
  • Virtual Reality
  • Augmented Reality
  • Mixed Reality
By Cameras
  • Smartphone Cameras
  • Standalone Cameras
  • Machine Vision Cameras

By Offering
  • Camera Modules
  • Software

By Regions
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Taiwan
    • Australia
    • Rest of Asia-Pacific
  • Europe
    • Germany
    • France
    • Italy
    • United Kingdom
    • Netherlands
    • Rest of Europe
  • MEA
    • Middle East
    • Africa
  • North America
    • United States
    • Canada
    • Mexico
  • 1. Market Overview
    • 1.1. Introduction
    • 1.2. Scope/Objective of the Study
      • 1.2.1. Research Objective
  • 2. Executive Summary
    • 2.1. Introduction
  • 3. Market Dynamics
    • 3.1. Introduction
    • 3.2. Market Drivers
      • 3.2.1. Increasing Demand of High-Resolution Still Cameras
      • 3.2.2. Rising Application in the Smartphone Cameras
      • 3.2.3. The growth of the smartphone market supplementing the growth of computational photography market. Manufacturers are focusing on integrating advanced features such as better HDR, low-light photography, improved zoom, and portrait modes in smartphone cameras driving the demand for the computational photography market.
    • 3.3. Market Challenges
      • 3.3.1. Miniaturization of Image Sensor Chips in Computational Cameras
    • 3.4. Market Trends
      • 3.4.1. Increasing Application of Image Fusion Technique in Computational Cameras
  • 4. Market Factor Analysis
    • 4.1. Porters Five Forces
    • 4.2. Supply/Value Chain
    • 4.3. PESTEL analysis
    • 4.4. Market Entropy
    • 4.5. Patent/Trademark Analysis
  • 5. Global Computational Photography, by Type, Application, Cameras, Offering and Region (value) (2013-2018)
    • 5.1. Introduction
    • 5.2. Global Computational Photography (Value)
      • 5.2.1. Global Computational Photography by: Type (Value)
        • 5.2.1.1. Single- and Dual-Lens Camera
        • 5.2.1.2. 16- Lens Camera
        • 5.2.1.3. Others
      • 5.2.2. Global Computational Photography by: Application (Value)
        • 5.2.2.1. 3D Imaging
        • 5.2.2.2. Virtual Reality
        • 5.2.2.3. Augmented Reality
        • 5.2.2.4. Mixed Reality
      • 5.2.3. Global Computational Photography by: Cameras (Value)
        • 5.2.3.1. Smartphone Cameras
        • 5.2.3.2. Standalone Cameras
        • 5.2.3.3. Machine Vision Cameras
      • 5.2.4. Global Computational Photography by: Offering (Value)
        • 5.2.4.1. Camera Modules
        • 5.2.4.2. Software
      • 5.2.5. Global Computational Photography Region
        • 5.2.5.1. South America
          • 5.2.5.1.1. Brazil
          • 5.2.5.1.2. Argentina
          • 5.2.5.1.3. Rest of South America
        • 5.2.5.2. Asia Pacific
          • 5.2.5.2.1. China
          • 5.2.5.2.2. Japan
          • 5.2.5.2.3. India
          • 5.2.5.2.4. South Korea
          • 5.2.5.2.5. Taiwan
          • 5.2.5.2.6. Australia
          • 5.2.5.2.7. Rest of Asia-Pacific
        • 5.2.5.3. Europe
          • 5.2.5.3.1. Germany
          • 5.2.5.3.2. France
          • 5.2.5.3.3. Italy
          • 5.2.5.3.4. United Kingdom
          • 5.2.5.3.5. Netherlands
          • 5.2.5.3.6. Rest of Europe
        • 5.2.5.4. MEA
          • 5.2.5.4.1. Middle East
          • 5.2.5.4.2. Africa
        • 5.2.5.5. North America
          • 5.2.5.5.1. United States
          • 5.2.5.5.2. Canada
          • 5.2.5.5.3. Mexico
  • 6. Computational Photography: Manufacturers/Players Analysis
    • 6.1. Competitive Landscape
      • 6.1.1. Market Share Analysis
        • 6.1.1.1. Top 3
        • 6.1.1.2. Top 5
    • 6.2. Peer Group Analysis (2018)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. Apple (United States)
        • 6.4.1.1. Business Overview
        • 6.4.1.2. Products/Services Offerings
        • 6.4.1.3. Financial Analysis
        • 6.4.1.4. SWOT Analysis
      • 6.4.2. Samsung (South Korea)
        • 6.4.2.1. Business Overview
        • 6.4.2.2. Products/Services Offerings
        • 6.4.2.3. Financial Analysis
        • 6.4.2.4. SWOT Analysis
      • 6.4.3. Nvidia (United States)
        • 6.4.3.1. Business Overview
        • 6.4.3.2. Products/Services Offerings
        • 6.4.3.3. Financial Analysis
        • 6.4.3.4. SWOT Analysis
      • 6.4.4. Qualcomm (United States)
        • 6.4.4.1. Business Overview
        • 6.4.4.2. Products/Services Offerings
        • 6.4.4.3. Financial Analysis
        • 6.4.4.4. SWOT Analysis
      • 6.4.5. Adobe (United States)
        • 6.4.5.1. Business Overview
        • 6.4.5.2. Products/Services Offerings
        • 6.4.5.3. Financial Analysis
        • 6.4.5.4. SWOT Analysis
      • 6.4.6. Nikon (Japan)
        • 6.4.6.1. Business Overview
        • 6.4.6.2. Products/Services Offerings
        • 6.4.6.3. Financial Analysis
        • 6.4.6.4. SWOT Analysis
      • 6.4.7. Sony (Japan)
        • 6.4.7.1. Business Overview
        • 6.4.7.2. Products/Services Offerings
        • 6.4.7.3. Financial Analysis
        • 6.4.7.4. SWOT Analysis
      • 6.4.8. LG (South Korea)
        • 6.4.8.1. Business Overview
        • 6.4.8.2. Products/Services Offerings
        • 6.4.8.3. Financial Analysis
        • 6.4.8.4. SWOT Analysis
      • 6.4.9. Light (United States)
        • 6.4.9.1. Business Overview
        • 6.4.9.2. Products/Services Offerings
        • 6.4.9.3. Financial Analysis
        • 6.4.9.4. SWOT Analysis
      • 6.4.10. Canon (Japan)
        • 6.4.10.1. Business Overview
        • 6.4.10.2. Products/Services Offerings
        • 6.4.10.3. Financial Analysis
        • 6.4.10.4. SWOT Analysis
      • 6.4.11. On Semiconductor (United States)
        • 6.4.11.1. Business Overview
        • 6.4.11.2. Products/Services Offerings
        • 6.4.11.3. Financial Analysis
        • 6.4.11.4. SWOT Analysis
      • 6.4.12. Sony (Japan)
        • 6.4.12.1. Business Overview
        • 6.4.12.2. Products/Services Offerings
        • 6.4.12.3. Financial Analysis
        • 6.4.12.4. SWOT Analysis
      • 6.4.13. HTC (Taiwan)
        • 6.4.13.1. Business Overview
        • 6.4.13.2. Products/Services Offerings
        • 6.4.13.3. Financial Analysis
        • 6.4.13.4. SWOT Analysis
      • 6.4.14. Corephotonics (Israel)
        • 6.4.14.1. Business Overview
        • 6.4.14.2. Products/Services Offerings
        • 6.4.14.3. Financial Analysis
        • 6.4.14.4. SWOT Analysis
      • 6.4.15. DXO Labs (France)
        • 6.4.15.1. Business Overview
        • 6.4.15.2. Products/Services Offerings
        • 6.4.15.3. Financial Analysis
        • 6.4.15.4. SWOT Analysis
      • 6.4.16. Xperi (United States)
        • 6.4.16.1. Business Overview
        • 6.4.16.2. Products/Services Offerings
        • 6.4.16.3. Financial Analysis
        • 6.4.16.4. SWOT Analysis
      • 6.4.17. Affinity Media (United States)
        • 6.4.17.1. Business Overview
        • 6.4.17.2. Products/Services Offerings
        • 6.4.17.3. Financial Analysis
        • 6.4.17.4. SWOT Analysis
  • 7. Global Computational Photography Sale, by Type, Application, Cameras, Offering and Region (value) (2019-2024)
    • 7.1. Introduction
    • 7.2. Global Computational Photography (Value)
      • 7.2.1. Global Computational Photography by: Type (Value)
        • 7.2.1.1. Single- and Dual-Lens Camera
        • 7.2.1.2. 16- Lens Camera
        • 7.2.1.3. Others
      • 7.2.2. Global Computational Photography by: Application (Value)
        • 7.2.2.1. 3D Imaging
        • 7.2.2.2. Virtual Reality
        • 7.2.2.3. Augmented Reality
        • 7.2.2.4. Mixed Reality
      • 7.2.3. Global Computational Photography by: Cameras (Value)
        • 7.2.3.1. Smartphone Cameras
        • 7.2.3.2. Standalone Cameras
        • 7.2.3.3. Machine Vision Cameras
      • 7.2.4. Global Computational Photography by: Offering (Value)
        • 7.2.4.1. Camera Modules
        • 7.2.4.2. Software
      • 7.2.5. Global Computational Photography Region
        • 7.2.5.1. South America
          • 7.2.5.1.1. Brazil
          • 7.2.5.1.2. Argentina
          • 7.2.5.1.3. Rest of South America
        • 7.2.5.2. Asia Pacific
          • 7.2.5.2.1. China
          • 7.2.5.2.2. Japan
          • 7.2.5.2.3. India
          • 7.2.5.2.4. South Korea
          • 7.2.5.2.5. Taiwan
          • 7.2.5.2.6. Australia
          • 7.2.5.2.7. Rest of Asia-Pacific
        • 7.2.5.3. Europe
          • 7.2.5.3.1. Germany
          • 7.2.5.3.2. France
          • 7.2.5.3.3. Italy
          • 7.2.5.3.4. United Kingdom
          • 7.2.5.3.5. Netherlands
          • 7.2.5.3.6. Rest of Europe
        • 7.2.5.4. MEA
          • 7.2.5.4.1. Middle East
          • 7.2.5.4.2. Africa
        • 7.2.5.5. North America
          • 7.2.5.5.1. United States
          • 7.2.5.5.2. Canada
          • 7.2.5.5.3. Mexico
  • 8. Appendix
    • 8.1. Acronyms
  • 9. Methodology and Data Source
    • 9.1. Methodology/Research Approach
      • 9.1.1. Research Programs/Design
      • 9.1.2. Market Size Estimation
      • 9.1.3. Market Breakdown and Data Triangulation
    • 9.2. Data Source
      • 9.2.1. Secondary Sources
      • 9.2.2. Primary Sources
    • 9.3. Disclaimer
List of Tables
  • Table 1. Computational Photography: by Type(USD Million)
  • Table 2. Computational Photography Single- and Dual-Lens Camera , by Region USD Million (2013-2018)
  • Table 3. Computational Photography 16- Lens Camera , by Region USD Million (2013-2018)
  • Table 4. Computational Photography Others , by Region USD Million (2013-2018)
  • Table 5. Computational Photography: by Application(USD Million)
  • Table 6. Computational Photography 3D Imaging , by Region USD Million (2013-2018)
  • Table 7. Computational Photography Virtual Reality , by Region USD Million (2013-2018)
  • Table 8. Computational Photography Augmented Reality , by Region USD Million (2013-2018)
  • Table 9. Computational Photography Mixed Reality , by Region USD Million (2013-2018)
  • Table 10. Computational Photography: by Cameras(USD Million)
  • Table 11. Computational Photography Smartphone Cameras , by Region USD Million (2013-2018)
  • Table 12. Computational Photography Standalone Cameras , by Region USD Million (2013-2018)
  • Table 13. Computational Photography Machine Vision Cameras , by Region USD Million (2013-2018)
  • Table 14. Computational Photography: by Offering(USD Million)
  • Table 15. Computational Photography Camera Modules , by Region USD Million (2013-2018)
  • Table 16. Computational Photography Software , by Region USD Million (2013-2018)
  • Table 17. South America Computational Photography, by Country USD Million (2013-2018)
  • Table 18. South America Computational Photography, by Type USD Million (2013-2018)
  • Table 19. South America Computational Photography, by Application USD Million (2013-2018)
  • Table 20. South America Computational Photography, by Cameras USD Million (2013-2018)
  • Table 21. South America Computational Photography, by Offering USD Million (2013-2018)
  • Table 22. Brazil Computational Photography, by Type USD Million (2013-2018)
  • Table 23. Brazil Computational Photography, by Application USD Million (2013-2018)
  • Table 24. Brazil Computational Photography, by Cameras USD Million (2013-2018)
  • Table 25. Brazil Computational Photography, by Offering USD Million (2013-2018)
  • Table 26. Argentina Computational Photography, by Type USD Million (2013-2018)
  • Table 27. Argentina Computational Photography, by Application USD Million (2013-2018)
  • Table 28. Argentina Computational Photography, by Cameras USD Million (2013-2018)
  • Table 29. Argentina Computational Photography, by Offering USD Million (2013-2018)
  • Table 30. Rest of South America Computational Photography, by Type USD Million (2013-2018)
  • Table 31. Rest of South America Computational Photography, by Application USD Million (2013-2018)
  • Table 32. Rest of South America Computational Photography, by Cameras USD Million (2013-2018)
  • Table 33. Rest of South America Computational Photography, by Offering USD Million (2013-2018)
  • Table 34. Asia Pacific Computational Photography, by Country USD Million (2013-2018)
  • Table 35. Asia Pacific Computational Photography, by Type USD Million (2013-2018)
  • Table 36. Asia Pacific Computational Photography, by Application USD Million (2013-2018)
  • Table 37. Asia Pacific Computational Photography, by Cameras USD Million (2013-2018)
  • Table 38. Asia Pacific Computational Photography, by Offering USD Million (2013-2018)
  • Table 39. China Computational Photography, by Type USD Million (2013-2018)
  • Table 40. China Computational Photography, by Application USD Million (2013-2018)
  • Table 41. China Computational Photography, by Cameras USD Million (2013-2018)
  • Table 42. China Computational Photography, by Offering USD Million (2013-2018)
  • Table 43. Japan Computational Photography, by Type USD Million (2013-2018)
  • Table 44. Japan Computational Photography, by Application USD Million (2013-2018)
  • Table 45. Japan Computational Photography, by Cameras USD Million (2013-2018)
  • Table 46. Japan Computational Photography, by Offering USD Million (2013-2018)
  • Table 47. India Computational Photography, by Type USD Million (2013-2018)
  • Table 48. India Computational Photography, by Application USD Million (2013-2018)
  • Table 49. India Computational Photography, by Cameras USD Million (2013-2018)
  • Table 50. India Computational Photography, by Offering USD Million (2013-2018)
  • Table 51. South Korea Computational Photography, by Type USD Million (2013-2018)
  • Table 52. South Korea Computational Photography, by Application USD Million (2013-2018)
  • Table 53. South Korea Computational Photography, by Cameras USD Million (2013-2018)
  • Table 54. South Korea Computational Photography, by Offering USD Million (2013-2018)
  • Table 55. Taiwan Computational Photography, by Type USD Million (2013-2018)
  • Table 56. Taiwan Computational Photography, by Application USD Million (2013-2018)
  • Table 57. Taiwan Computational Photography, by Cameras USD Million (2013-2018)
  • Table 58. Taiwan Computational Photography, by Offering USD Million (2013-2018)
  • Table 59. Australia Computational Photography, by Type USD Million (2013-2018)
  • Table 60. Australia Computational Photography, by Application USD Million (2013-2018)
  • Table 61. Australia Computational Photography, by Cameras USD Million (2013-2018)
  • Table 62. Australia Computational Photography, by Offering USD Million (2013-2018)
  • Table 63. Rest of Asia-Pacific Computational Photography, by Type USD Million (2013-2018)
  • Table 64. Rest of Asia-Pacific Computational Photography, by Application USD Million (2013-2018)
  • Table 65. Rest of Asia-Pacific Computational Photography, by Cameras USD Million (2013-2018)
  • Table 66. Rest of Asia-Pacific Computational Photography, by Offering USD Million (2013-2018)
  • Table 67. Europe Computational Photography, by Country USD Million (2013-2018)
  • Table 68. Europe Computational Photography, by Type USD Million (2013-2018)
  • Table 69. Europe Computational Photography, by Application USD Million (2013-2018)
  • Table 70. Europe Computational Photography, by Cameras USD Million (2013-2018)
  • Table 71. Europe Computational Photography, by Offering USD Million (2013-2018)
  • Table 72. Germany Computational Photography, by Type USD Million (2013-2018)
  • Table 73. Germany Computational Photography, by Application USD Million (2013-2018)
  • Table 74. Germany Computational Photography, by Cameras USD Million (2013-2018)
  • Table 75. Germany Computational Photography, by Offering USD Million (2013-2018)
  • Table 76. France Computational Photography, by Type USD Million (2013-2018)
  • Table 77. France Computational Photography, by Application USD Million (2013-2018)
  • Table 78. France Computational Photography, by Cameras USD Million (2013-2018)
  • Table 79. France Computational Photography, by Offering USD Million (2013-2018)
  • Table 80. Italy Computational Photography, by Type USD Million (2013-2018)
  • Table 81. Italy Computational Photography, by Application USD Million (2013-2018)
  • Table 82. Italy Computational Photography, by Cameras USD Million (2013-2018)
  • Table 83. Italy Computational Photography, by Offering USD Million (2013-2018)
  • Table 84. United Kingdom Computational Photography, by Type USD Million (2013-2018)
  • Table 85. United Kingdom Computational Photography, by Application USD Million (2013-2018)
  • Table 86. United Kingdom Computational Photography, by Cameras USD Million (2013-2018)
  • Table 87. United Kingdom Computational Photography, by Offering USD Million (2013-2018)
  • Table 88. Netherlands Computational Photography, by Type USD Million (2013-2018)
  • Table 89. Netherlands Computational Photography, by Application USD Million (2013-2018)
  • Table 90. Netherlands Computational Photography, by Cameras USD Million (2013-2018)
  • Table 91. Netherlands Computational Photography, by Offering USD Million (2013-2018)
  • Table 92. Rest of Europe Computational Photography, by Type USD Million (2013-2018)
  • Table 93. Rest of Europe Computational Photography, by Application USD Million (2013-2018)
  • Table 94. Rest of Europe Computational Photography, by Cameras USD Million (2013-2018)
  • Table 95. Rest of Europe Computational Photography, by Offering USD Million (2013-2018)
  • Table 96. MEA Computational Photography, by Country USD Million (2013-2018)
  • Table 97. MEA Computational Photography, by Type USD Million (2013-2018)
  • Table 98. MEA Computational Photography, by Application USD Million (2013-2018)
  • Table 99. MEA Computational Photography, by Cameras USD Million (2013-2018)
  • Table 100. MEA Computational Photography, by Offering USD Million (2013-2018)
  • Table 101. Middle East Computational Photography, by Type USD Million (2013-2018)
  • Table 102. Middle East Computational Photography, by Application USD Million (2013-2018)
  • Table 103. Middle East Computational Photography, by Cameras USD Million (2013-2018)
  • Table 104. Middle East Computational Photography, by Offering USD Million (2013-2018)
  • Table 105. Africa Computational Photography, by Type USD Million (2013-2018)
  • Table 106. Africa Computational Photography, by Application USD Million (2013-2018)
  • Table 107. Africa Computational Photography, by Cameras USD Million (2013-2018)
  • Table 108. Africa Computational Photography, by Offering USD Million (2013-2018)
  • Table 109. North America Computational Photography, by Country USD Million (2013-2018)
  • Table 110. North America Computational Photography, by Type USD Million (2013-2018)
  • Table 111. North America Computational Photography, by Application USD Million (2013-2018)
  • Table 112. North America Computational Photography, by Cameras USD Million (2013-2018)
  • Table 113. North America Computational Photography, by Offering USD Million (2013-2018)
  • Table 114. United States Computational Photography, by Type USD Million (2013-2018)
  • Table 115. United States Computational Photography, by Application USD Million (2013-2018)
  • Table 116. United States Computational Photography, by Cameras USD Million (2013-2018)
  • Table 117. United States Computational Photography, by Offering USD Million (2013-2018)
  • Table 118. Canada Computational Photography, by Type USD Million (2013-2018)
  • Table 119. Canada Computational Photography, by Application USD Million (2013-2018)
  • Table 120. Canada Computational Photography, by Cameras USD Million (2013-2018)
  • Table 121. Canada Computational Photography, by Offering USD Million (2013-2018)
  • Table 122. Mexico Computational Photography, by Type USD Million (2013-2018)
  • Table 123. Mexico Computational Photography, by Application USD Million (2013-2018)
  • Table 124. Mexico Computational Photography, by Cameras USD Million (2013-2018)
  • Table 125. Mexico Computational Photography, by Offering USD Million (2013-2018)
  • Table 126. Company Basic Information, Sales Area and Its Competitors
  • Table 127. Company Basic Information, Sales Area and Its Competitors
  • Table 128. Company Basic Information, Sales Area and Its Competitors
  • Table 129. Company Basic Information, Sales Area and Its Competitors
  • Table 130. Company Basic Information, Sales Area and Its Competitors
  • Table 131. Company Basic Information, Sales Area and Its Competitors
  • Table 132. Company Basic Information, Sales Area and Its Competitors
  • Table 133. Company Basic Information, Sales Area and Its Competitors
  • Table 134. Company Basic Information, Sales Area and Its Competitors
  • Table 135. Company Basic Information, Sales Area and Its Competitors
  • Table 136. Company Basic Information, Sales Area and Its Competitors
  • Table 137. Company Basic Information, Sales Area and Its Competitors
  • Table 138. Company Basic Information, Sales Area and Its Competitors
  • Table 139. Company Basic Information, Sales Area and Its Competitors
  • Table 140. Company Basic Information, Sales Area and Its Competitors
  • Table 141. Company Basic Information, Sales Area and Its Competitors
  • Table 142. Company Basic Information, Sales Area and Its Competitors
  • Table 143. Computational Photography: by Type(USD Million)
  • Table 144. Computational Photography Single- and Dual-Lens Camera , by Region USD Million (2019-2024)
  • Table 145. Computational Photography 16- Lens Camera , by Region USD Million (2019-2024)
  • Table 146. Computational Photography Others , by Region USD Million (2019-2024)
  • Table 147. Computational Photography: by Application(USD Million)
  • Table 148. Computational Photography 3D Imaging , by Region USD Million (2019-2024)
  • Table 149. Computational Photography Virtual Reality , by Region USD Million (2019-2024)
  • Table 150. Computational Photography Augmented Reality , by Region USD Million (2019-2024)
  • Table 151. Computational Photography Mixed Reality , by Region USD Million (2019-2024)
  • Table 152. Computational Photography: by Cameras(USD Million)
  • Table 153. Computational Photography Smartphone Cameras , by Region USD Million (2019-2024)
  • Table 154. Computational Photography Standalone Cameras , by Region USD Million (2019-2024)
  • Table 155. Computational Photography Machine Vision Cameras , by Region USD Million (2019-2024)
  • Table 156. Computational Photography: by Offering(USD Million)
  • Table 157. Computational Photography Camera Modules , by Region USD Million (2019-2024)
  • Table 158. Computational Photography Software , by Region USD Million (2019-2024)
  • Table 159. South America Computational Photography, by Country USD Million (2019-2024)
  • Table 160. South America Computational Photography, by Type USD Million (2019-2024)
  • Table 161. South America Computational Photography, by Application USD Million (2019-2024)
  • Table 162. South America Computational Photography, by Cameras USD Million (2019-2024)
  • Table 163. South America Computational Photography, by Offering USD Million (2019-2024)
  • Table 164. Brazil Computational Photography, by Type USD Million (2019-2024)
  • Table 165. Brazil Computational Photography, by Application USD Million (2019-2024)
  • Table 166. Brazil Computational Photography, by Cameras USD Million (2019-2024)
  • Table 167. Brazil Computational Photography, by Offering USD Million (2019-2024)
  • Table 168. Argentina Computational Photography, by Type USD Million (2019-2024)
  • Table 169. Argentina Computational Photography, by Application USD Million (2019-2024)
  • Table 170. Argentina Computational Photography, by Cameras USD Million (2019-2024)
  • Table 171. Argentina Computational Photography, by Offering USD Million (2019-2024)
  • Table 172. Rest of South America Computational Photography, by Type USD Million (2019-2024)
  • Table 173. Rest of South America Computational Photography, by Application USD Million (2019-2024)
  • Table 174. Rest of South America Computational Photography, by Cameras USD Million (2019-2024)
  • Table 175. Rest of South America Computational Photography, by Offering USD Million (2019-2024)
  • Table 176. Asia Pacific Computational Photography, by Country USD Million (2019-2024)
  • Table 177. Asia Pacific Computational Photography, by Type USD Million (2019-2024)
  • Table 178. Asia Pacific Computational Photography, by Application USD Million (2019-2024)
  • Table 179. Asia Pacific Computational Photography, by Cameras USD Million (2019-2024)
  • Table 180. Asia Pacific Computational Photography, by Offering USD Million (2019-2024)
  • Table 181. China Computational Photography, by Type USD Million (2019-2024)
  • Table 182. China Computational Photography, by Application USD Million (2019-2024)
  • Table 183. China Computational Photography, by Cameras USD Million (2019-2024)
  • Table 184. China Computational Photography, by Offering USD Million (2019-2024)
  • Table 185. Japan Computational Photography, by Type USD Million (2019-2024)
  • Table 186. Japan Computational Photography, by Application USD Million (2019-2024)
  • Table 187. Japan Computational Photography, by Cameras USD Million (2019-2024)
  • Table 188. Japan Computational Photography, by Offering USD Million (2019-2024)
  • Table 189. India Computational Photography, by Type USD Million (2019-2024)
  • Table 190. India Computational Photography, by Application USD Million (2019-2024)
  • Table 191. India Computational Photography, by Cameras USD Million (2019-2024)
  • Table 192. India Computational Photography, by Offering USD Million (2019-2024)
  • Table 193. South Korea Computational Photography, by Type USD Million (2019-2024)
  • Table 194. South Korea Computational Photography, by Application USD Million (2019-2024)
  • Table 195. South Korea Computational Photography, by Cameras USD Million (2019-2024)
  • Table 196. South Korea Computational Photography, by Offering USD Million (2019-2024)
  • Table 197. Taiwan Computational Photography, by Type USD Million (2019-2024)
  • Table 198. Taiwan Computational Photography, by Application USD Million (2019-2024)
  • Table 199. Taiwan Computational Photography, by Cameras USD Million (2019-2024)
  • Table 200. Taiwan Computational Photography, by Offering USD Million (2019-2024)
  • Table 201. Australia Computational Photography, by Type USD Million (2019-2024)
  • Table 202. Australia Computational Photography, by Application USD Million (2019-2024)
  • Table 203. Australia Computational Photography, by Cameras USD Million (2019-2024)
  • Table 204. Australia Computational Photography, by Offering USD Million (2019-2024)
  • Table 205. Rest of Asia-Pacific Computational Photography, by Type USD Million (2019-2024)
  • Table 206. Rest of Asia-Pacific Computational Photography, by Application USD Million (2019-2024)
  • Table 207. Rest of Asia-Pacific Computational Photography, by Cameras USD Million (2019-2024)
  • Table 208. Rest of Asia-Pacific Computational Photography, by Offering USD Million (2019-2024)
  • Table 209. Europe Computational Photography, by Country USD Million (2019-2024)
  • Table 210. Europe Computational Photography, by Type USD Million (2019-2024)
  • Table 211. Europe Computational Photography, by Application USD Million (2019-2024)
  • Table 212. Europe Computational Photography, by Cameras USD Million (2019-2024)
  • Table 213. Europe Computational Photography, by Offering USD Million (2019-2024)
  • Table 214. Germany Computational Photography, by Type USD Million (2019-2024)
  • Table 215. Germany Computational Photography, by Application USD Million (2019-2024)
  • Table 216. Germany Computational Photography, by Cameras USD Million (2019-2024)
  • Table 217. Germany Computational Photography, by Offering USD Million (2019-2024)
  • Table 218. France Computational Photography, by Type USD Million (2019-2024)
  • Table 219. France Computational Photography, by Application USD Million (2019-2024)
  • Table 220. France Computational Photography, by Cameras USD Million (2019-2024)
  • Table 221. France Computational Photography, by Offering USD Million (2019-2024)
  • Table 222. Italy Computational Photography, by Type USD Million (2019-2024)
  • Table 223. Italy Computational Photography, by Application USD Million (2019-2024)
  • Table 224. Italy Computational Photography, by Cameras USD Million (2019-2024)
  • Table 225. Italy Computational Photography, by Offering USD Million (2019-2024)
  • Table 226. United Kingdom Computational Photography, by Type USD Million (2019-2024)
  • Table 227. United Kingdom Computational Photography, by Application USD Million (2019-2024)
  • Table 228. United Kingdom Computational Photography, by Cameras USD Million (2019-2024)
  • Table 229. United Kingdom Computational Photography, by Offering USD Million (2019-2024)
  • Table 230. Netherlands Computational Photography, by Type USD Million (2019-2024)
  • Table 231. Netherlands Computational Photography, by Application USD Million (2019-2024)
  • Table 232. Netherlands Computational Photography, by Cameras USD Million (2019-2024)
  • Table 233. Netherlands Computational Photography, by Offering USD Million (2019-2024)
  • Table 234. Rest of Europe Computational Photography, by Type USD Million (2019-2024)
  • Table 235. Rest of Europe Computational Photography, by Application USD Million (2019-2024)
  • Table 236. Rest of Europe Computational Photography, by Cameras USD Million (2019-2024)
  • Table 237. Rest of Europe Computational Photography, by Offering USD Million (2019-2024)
  • Table 238. MEA Computational Photography, by Country USD Million (2019-2024)
  • Table 239. MEA Computational Photography, by Type USD Million (2019-2024)
  • Table 240. MEA Computational Photography, by Application USD Million (2019-2024)
  • Table 241. MEA Computational Photography, by Cameras USD Million (2019-2024)
  • Table 242. MEA Computational Photography, by Offering USD Million (2019-2024)
  • Table 243. Middle East Computational Photography, by Type USD Million (2019-2024)
  • Table 244. Middle East Computational Photography, by Application USD Million (2019-2024)
  • Table 245. Middle East Computational Photography, by Cameras USD Million (2019-2024)
  • Table 246. Middle East Computational Photography, by Offering USD Million (2019-2024)
  • Table 247. Africa Computational Photography, by Type USD Million (2019-2024)
  • Table 248. Africa Computational Photography, by Application USD Million (2019-2024)
  • Table 249. Africa Computational Photography, by Cameras USD Million (2019-2024)
  • Table 250. Africa Computational Photography, by Offering USD Million (2019-2024)
  • Table 251. North America Computational Photography, by Country USD Million (2019-2024)
  • Table 252. North America Computational Photography, by Type USD Million (2019-2024)
  • Table 253. North America Computational Photography, by Application USD Million (2019-2024)
  • Table 254. North America Computational Photography, by Cameras USD Million (2019-2024)
  • Table 255. North America Computational Photography, by Offering USD Million (2019-2024)
  • Table 256. United States Computational Photography, by Type USD Million (2019-2024)
  • Table 257. United States Computational Photography, by Application USD Million (2019-2024)
  • Table 258. United States Computational Photography, by Cameras USD Million (2019-2024)
  • Table 259. United States Computational Photography, by Offering USD Million (2019-2024)
  • Table 260. Canada Computational Photography, by Type USD Million (2019-2024)
  • Table 261. Canada Computational Photography, by Application USD Million (2019-2024)
  • Table 262. Canada Computational Photography, by Cameras USD Million (2019-2024)
  • Table 263. Canada Computational Photography, by Offering USD Million (2019-2024)
  • Table 264. Mexico Computational Photography, by Type USD Million (2019-2024)
  • Table 265. Mexico Computational Photography, by Application USD Million (2019-2024)
  • Table 266. Mexico Computational Photography, by Cameras USD Million (2019-2024)
  • Table 267. Mexico Computational Photography, by Offering USD Million (2019-2024)
  • Table 268. Research Programs/Design for This Report
  • Table 269. Key Data Information from Secondary Sources
  • Table 270. Key Data Information from Primary Sources
List of Figures
  • Figure 1. Porters Five Forces
  • Figure 2. Supply/Value Chain
  • Figure 3. PESTEL analysis
  • Figure 4. Global Computational Photography: by Type USD Million (2013-2018)
  • Figure 5. Global Computational Photography: by Application USD Million (2013-2018)
  • Figure 6. Global Computational Photography: by Cameras USD Million (2013-2018)
  • Figure 7. Global Computational Photography: by Offering USD Million (2013-2018)
  • Figure 8. South America Computational Photography Share (%), by Country
  • Figure 9. Asia Pacific Computational Photography Share (%), by Country
  • Figure 10. Europe Computational Photography Share (%), by Country
  • Figure 11. MEA Computational Photography Share (%), by Country
  • Figure 12. North America Computational Photography Share (%), by Country
  • Figure 13. Global Computational Photography share by Players 2018 (%)
  • Figure 14. Global Computational Photography share by Players (Top 3) 2018(%)
  • Figure 15. Global Computational Photography share by Players (Top 5) 2018(%)
  • Figure 16. BCG Matrix for key Companies
  • Figure 17. Apple (United States) Revenue, Net Income and Gross profit
  • Figure 18. Apple (United States) Revenue: by Geography 2018
  • Figure 19. Samsung (South Korea) Revenue, Net Income and Gross profit
  • Figure 20. Samsung (South Korea) Revenue: by Geography 2018
  • Figure 21. Nvidia (United States) Revenue, Net Income and Gross profit
  • Figure 22. Nvidia (United States) Revenue: by Geography 2018
  • Figure 23. Qualcomm (United States) Revenue, Net Income and Gross profit
  • Figure 24. Qualcomm (United States) Revenue: by Geography 2018
  • Figure 25. Adobe (United States) Revenue, Net Income and Gross profit
  • Figure 26. Adobe (United States) Revenue: by Geography 2018
  • Figure 27. Nikon (Japan) Revenue, Net Income and Gross profit
  • Figure 28. Nikon (Japan) Revenue: by Geography 2018
  • Figure 29. Sony (Japan) Revenue, Net Income and Gross profit
  • Figure 30. Sony (Japan) Revenue: by Geography 2018
  • Figure 31. LG (South Korea) Revenue, Net Income and Gross profit
  • Figure 32. LG (South Korea) Revenue: by Geography 2018
  • Figure 33. Light (United States) Revenue, Net Income and Gross profit
  • Figure 34. Light (United States) Revenue: by Geography 2018
  • Figure 35. Canon (Japan) Revenue, Net Income and Gross profit
  • Figure 36. Canon (Japan) Revenue: by Geography 2018
  • Figure 37. On Semiconductor (United States) Revenue, Net Income and Gross profit
  • Figure 38. On Semiconductor (United States) Revenue: by Geography 2018
  • Figure 39. Sony (Japan) Revenue, Net Income and Gross profit
  • Figure 40. Sony (Japan) Revenue: by Geography 2018
  • Figure 41. HTC (Taiwan) Revenue, Net Income and Gross profit
  • Figure 42. HTC (Taiwan) Revenue: by Geography 2018
  • Figure 43. Corephotonics (Israel) Revenue, Net Income and Gross profit
  • Figure 44. Corephotonics (Israel) Revenue: by Geography 2018
  • Figure 45. DXO Labs (France) Revenue, Net Income and Gross profit
  • Figure 46. DXO Labs (France) Revenue: by Geography 2018
  • Figure 47. Xperi (United States) Revenue, Net Income and Gross profit
  • Figure 48. Xperi (United States) Revenue: by Geography 2018
  • Figure 49. Affinity Media (United States) Revenue, Net Income and Gross profit
  • Figure 50. Affinity Media (United States) Revenue: by Geography 2018
  • Figure 51. Global Computational Photography: by Type USD Million (2019-2024)
  • Figure 52. Global Computational Photography: by Application USD Million (2019-2024)
  • Figure 53. Global Computational Photography: by Cameras USD Million (2019-2024)
  • Figure 54. Global Computational Photography: by Offering USD Million (2019-2024)
  • Figure 55. South America Computational Photography Share (%), by Country
  • Figure 56. Asia Pacific Computational Photography Share (%), by Country
  • Figure 57. Europe Computational Photography Share (%), by Country
  • Figure 58. MEA Computational Photography Share (%), by Country
  • Figure 59. North America Computational Photography Share (%), by Country
List of companies from research coverage that are profiled in the study
  • Apple (United States)
  • Samsung (South Korea)
  • Nvidia (United States)
  • Qualcomm (United States)
  • Adobe (United States)
  • Nikon (Japan)
  • Sony (Japan)
  • LG (South Korea)
  • Light (United States)
  • Canon (Japan)
  • On Semiconductor (United States)
  • Sony (Japan)
  • HTC (Taiwan)
  • Corephotonics (Israel)
  • DXO Labs (France)
  • Xperi (United States)
  • Affinity Media (United States)
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