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市場調查報告書

商品編碼

1499346

計算攝影市場 - 按產品、產品、應用和預測分類，2024 年至 2032 年

Computational Photography Market - By Product, By Offering, By Application & Forecast, 2024 - 2032

出版日期: 2024年03月27日 | 出版商:

Global Market Insights Inc. | 英文 200 Pages | 商品交期: 2-3個工作天內

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簡介目錄

2024 年至 2032 年間，全球運算攝影市場的複合年成長率將超過 11.5%，尤其是虛擬實境 (VR) 領域。影像融合、深度映射和影像增強等運算攝影技術對於創造沉浸式 VR 體驗變得越來越重要。這些技術增強了虛擬環境中的影像品質、深度感知和整體真實感，從而為使用者提供更身臨其境和引人入勝的體驗。

例如，2024 年 3 月，Google Pixel 6 Pro 因其出色的運算攝影功能而受到讚譽，部分原因在於升級的 Google Tensor 晶片。這款先進的處理器改進了該設備本已令人印象深刻的 HDR 處理和夜間模式性能，為智慧型手機攝影樹立了新基準。

隨著VR應用在遊戲、娛樂、教育、訓練等領域的日益普及，對運算攝影技術的需求激增。公司正在投資研發，將先進的運算攝影功能整合到 VR 系統中，推動市場創新和成長。隨著虛擬實境不斷發展並擴展到各個行業，對計算攝影解決方案的需求可能會進一步成長。

整個計算攝影行業根據產品、產品、應用和地區進行分類。

從 2024 年到 2032 年，機器視覺領域將呈現可觀的成長。這些技術使機器能夠準確地解釋和分析視覺資料，從而推動自動化、機器人技術、品質控制和監視方面的進步。隨著機器視覺在汽車、製造、醫療保健和農業等行業的日益普及，對計算攝影技術的需求不斷升級。

從 2024 年到 2032 年，虛擬實境領域的運算攝影市場佔有率將出現顯著的複合年成長率。這些技術增強了虛擬環境中的影像品質、深度感知和整體真實感，從而為使用者提供更身臨其境和引人入勝的體驗。隨著VR應用在遊戲、娛樂、教育、訓練等領域的日益普及，對運算攝影技術的需求激增。

日本計算攝影市場將在2024年至2032年呈現出值得稱讚的複合年成長率。這項需求是由多種因素推動的，包括配備先進攝影系統的智慧型手機的普及、遊戲和娛樂產業的成長，以及人工智慧 (AI) 和機器學習 (ML) 在攝影應用中的日益使用。此外，由於日本是相機製造商和成像技術開發商的中心，該國預計將在推進計算攝影解決方案方面處於領先地位。

產業生態系統分析
供應商格局
利潤率分析
技術與創新格局
專利分析
重要新聞和舉措
監管環境
衝擊力
- 成長動力
  - 對高品質影像解決方案的需求不斷成長
  - 越來越多採用具有先進相機功能的智慧型手機
  - 社群媒體平台越來越受歡迎
  - 計算攝影的應用不斷增加
  - 越來越關注擴增實境 (AR) 和虛擬實境 (VR) 應用
- 產業陷阱與挑戰
  - 複雜的演算法和軟體
  - 影像品質和偽像
成長潛力分析
波特的分析
PESTEL分析

第 4 章：競爭格局

介紹
公司市佔率分析
競爭定位矩陣
戰略展望矩陣

第 5 章：市場估計與預測：依產品分類，2018 年 - 2032 年

主要趨勢
智慧型手機相機
獨立相機
機器視覺相機

第 6 章：市場估計與預測：依產品分類，2018 年 - 2032 年

主要趨勢
網路攝影機模組
軟體

第 7 章：市場估計與預測：依應用分類，2018 - 2032

主要趨勢
3D成像
虛擬實境
擴增實境
混合實境

第 8 章：市場估計與預測：按地區分類，2018 年 - 2032 年

主要趨勢
北美洲
- 美國
- 加拿大
歐洲
- 英國
- 德國
- 法國
- 義大利
- 西班牙
- 俄羅斯
- 歐洲其他地區
亞太地區
- 中國
- 印度
- 日本
- 韓國
- 澳新銀行
- 亞太地區其他地區
拉丁美洲
- 巴西
- 墨西哥
- 拉丁美洲其他地區
MEA
- 阿拉伯聯合大公國
- 沙烏地阿拉伯
- 南非
- MEA 的其餘部分

第 9 章：公司簡介

Adobe Inc.
Affinity Media
Algolux Inc.
Almalence Inc.
Alphabet Inc.
Apple Inc.
Canon Inc.
CEVA Inc.
FotoNation Inc.
LG Corporation
Light Labs Inc.
Nikon Corporation
Nvidia Corporation
ON Semiconductor Corporation
Pelican Imaging Corporation
Qualcomm Technologies Inc.
Samsung Electronics Co. Ltd.
Sony Group Corporation
Xperi Inc.

簡介目錄

Product Code: 8733

Global Computational Photography Market will witness over 11.5% CAGR between 2024 and 2032, particularly from the virtual reality (VR) sector. Computational photography techniques, such as image fusion, depth mapping, and image enhancement, are becoming increasingly crucial in creating immersive VR experiences. These techniques enhance image quality, depth perception, and overall realism in virtual environments, thus providing users with a more immersive and engaging experience.

For instance, in March 2024, The Google Pixel 6 Pro received praise for its outstanding computational photography features, partly due to the upgraded Google Tensor chip. This advanced processor improved the device's already impressive HDR processing and night mode performance, establishing a new benchmark in smartphone photography.

With the growing popularity of VR applications in gaming, entertainment, education, and training, the demand for computational photography technologies is soaring. Companies are investing in research and development to integrate advanced computational photography features into VR systems, driving innovation and growth in the market. As VR continues to evolve and expand into various industries, the demand for computational photography solutions could rise further.

The overall Computational Photography Industry is classified based on product, offering, application, and region.

The machine vision segment will exhibit commendable growth from 2024 to 2032. Computational photography techniques, such as image enhancement, depth mapping, and object recognition, are increasingly crucial for improving the performance of machine vision systems. These techniques enable machines to accurately interpret and analyze visual data, leading to advancements in automation, robotics, quality control, and surveillance. With the growing adoption of machine vision across industries such as automotive, manufacturing, healthcare, and agriculture, the demand for computational photography technologies is escalating.

The computational photography market share from the virtual reality segment will register a notable CAGR from 2024 to 2032. Computational photography techniques, such as image fusion, depth mapping, and image enhancement, are becoming increasingly crucial in creating immersive VR experiences. These techniques enhance image quality, depth perception, and overall realism in virtual environments, thus providing users with a more immersive and engaging experience. With the growing popularity of VR applications in gaming, entertainment, education, and training, the demand for computational photography technologies is soaring.

Japan computational photography market will demonstrate a commendable CAGR from 2024 to 2032. Renowned for its technological innovations, Japan is embracing computational photography to enhance various aspects of imaging. This demand is driven by a myriad of factors, including the proliferation of smartphones equipped with advanced camera systems, the growth of the gaming and entertainment industry, and the increasing use of artificial intelligence (AI) and machine learning (ML) in photography applications. Moreover, with Japan being a hub for camera manufacturers and imaging technology developers, the country is poised to lead the way in advancing computational photography solutions.

Chapter 1 Methodology & Scope

1.1 Market scope & definitions
1.2 Base estimates & calculations
1.3 Forecast calculations
1.4 Data sources
- 1.4.1 Primary
- 1.4.2 Secondary
  - 1.4.2.1 Paid sources
  - 1.4.2.2 Public sources

Chapter 2 Executive Summary

2.1 Industry 360 degree synopsis, 2018 - 2032

Chapter 3 Industry Insights

3.1 Industry ecosystem analysis
3.2 Supplier landscape
3.3 Profit margin analysis
3.4 Technology & innovation landscape
3.5 Patent analysis
3.6 Key news & initiatives
3.7 Regulatory landscape
3.8 Impact forces
- 3.8.1 Growth drivers
  - 3.8.1.1 Increasing demand for high-quality imaging solutions
  - 3.8.1.2 Growing adoption of smartphones with advanced camera capabilities
  - 3.8.1.3 Growing popularity of social media platforms
  - 3.8.1.4 Increasing applications of computational photography
  - 3.8.1.5 Increasing focus on augmented reality (AR) and virtual reality (VR) applications
- 3.8.2 Industry pitfalls & challenges
  - 3.8.2.1 Complex algorithms and software
  - 3.8.2.2 Image quality and artifacts
3.9 Growth potential analysis
3.10 Porter's analysis
- 3.10.1 Supplier power
- 3.10.2 Buyer power
- 3.10.3 Threat of new entrants
- 3.10.4 Threat of substitutes
- 3.10.5 Industry rivalry
3.11 PESTEL analysis

Chapter 4 Competitive Landscape, 2023

4.1 Introduction
4.2 Company market share analysis
4.3 Competitive positioning matrix
4.4 Strategic outlook matrix

Chapter 5 Market Estimates & Forecast, By Product, 2018 - 2032 (USD Billion)

5.1 Key trends
5.2 Smartphone cameras
5.3 Standalone cameras
5.4 Machine vision cameras

Chapter 6 Market Estimates & Forecast, By Offering, 2018 - 2032 (USD Billion)

6.1 Key trends
6.2 Camera modules
6.3 Software

Chapter 7 Market Estimates & Forecast, By Application, 2018 - 2032 (USD Billion)

7.1 Key trends
7.2 3D imaging
7.3 Virtual reality
7.4 Augmented reality
7.5 Mixed reality

Chapter 8 Market Estimates & Forecast, By Region, 2018 - 2032 (USD Billion)

8.1 Key trends
8.2 North America
- 8.2.1 U.S.
- 8.2.2 Canada
8.3 Europe
- 8.3.1 UK
- 8.3.2 Germany
- 8.3.3 France
- 8.3.4 Italy
- 8.3.5 Spain
- 8.3.6 Russia
- 8.3.7 Rest of Europe
8.4 Asia Pacific
- 8.4.1 China
- 8.4.2 India
- 8.4.3 Japan
- 8.4.4 South Korea
- 8.4.5 ANZ
- 8.4.6 Rest of Asia Pacific
8.5 Latin America
- 8.5.1 Brazil
- 8.5.2 Mexico
- 8.5.3 Rest of Latin America
8.6 MEA
- 8.6.1 UAE
- 8.6.2 Saudi Arabia
- 8.6.3 South Africa
- 8.6.4 Rest of MEA