计算摄影市场 - 按产品、产品、应用和预测划分，2024 年至 2032 年

2024 年至 2032 年间，全球运算摄影市场的复合年增长率将超过 11.5%，尤其是虚拟实境 (VR) 领域。影像融合、深度映射和影像增强等运算摄影技术对于创造沉浸式 VR 体验变得越来越重要。这些技术增强了虚拟环境中的影像品质、深度感知和整体真实感，从而为使用者提供更身临其境和引人入胜的体验。

例如，2024 年 3 月，Google Pixel 6 Pro 因其出色的运算摄影功能而受到讚誉，部分原因在于升级的 Google Tensor 晶片。这款先进的处理器改进了该设备本已令人印象深刻的 HDR 处理和夜间模式性能，为智慧型手机摄影树立了新基准。

随着VR应用在游戏、娱乐、教育、训练等领域的日益普及，对运算摄影技术的需求激增。公司正在投资研发，将先进的运算摄影功能整合到 VR 系统中，推动市场创新和成长。随着虚拟实境不断发展并扩展到各个行业，对计算摄影解决方案的需求可能会进一步增长。

整个计算摄影行业根据产品、产品、应用和地区进行分类。

从 2024 年到 2032 年，机器视觉领域将呈现可观的成长。这些技术使机器能够准确地解释和分析视觉资料，从而推动自动化、机器人技术、品质控制和监视方面的进步。随着机器视觉在汽车、製造、医疗保健和农业等行业的日益普及，对计算摄影技术的需求不断升级。

从 2024 年到 2032 年，虚拟实境领域的运算摄影市场份额将出现显着的复合年增长率。这些技术增强了虚拟环境中的影像品质、深度感知和整体真实感，从而为使用者提供更身临其境和引人入胜的体验。随着VR应用在游戏、娱乐、教育、训练等领域的日益普及，对运算摄影技术的需求激增。

日本计算摄影市场将在2024年至2032年呈现出值得称讚的复合年增长率。这项需求是由多种因素推动的，包括配备先进摄影系统的智慧型手机的普及、游戏和娱乐产业的成长，以及人工智慧 (AI) 和机器学习 (ML) 在摄影应用中的日益使用。此外，由于日本是相机製造商和成像技术开发商的中心，该国预计将在推进计算摄影解决方案方面处于领先地位。

目录

第 1 章：方法与范围

第 2 章：执行摘要

第 3 章：产业洞察

• 产业生态系统分析
• 供应商格局
• 利润率分析
• 技术与创新格局
• 专利分析
• 重要新闻和倡议
• 监管环境
• 衝击力
  • 成长动力
    • 对高品质影像解决方案的需求不断增长
    • 越来越多采用具有先进相机功能的智慧型手机
    • 社群媒体平台越来越受欢迎
    • 计算摄影的应用不断增加
    • 越来越关注扩增实境 (AR) 和虚拟实境 (VR) 应用
  • 产业陷阱与挑战
    • 复杂的演算法和软体
    • 影像品质和伪像
• 成长潜力分析
• 波特的分析
• PESTEL分析

第 4 章：竞争格局

• 介绍
• 公司市占率分析
• 竞争定位矩阵
• 战略展望矩阵

第 5 章：市场估计与预测：依产品分类，2018 年 - 2032 年

• 主要趋势
• 智慧型手机相机
• 独立相机
• 机器视觉相机

第 6 章：市场估计与预测：依产品划分，2018 年 - 2032 年

• 主要趋势
• 网路摄影机模组
• 软体

第 7 章：市场估计与预测：依应用分类，2018 - 2032

• 主要趋势
• 3D成像
• 虚拟实境
• 扩增实境
• 混合现实

第 8 章：市场估计与预测：按地区划分，2018 年 - 2032 年

• 主要趋势
• 北美洲
  • 我们
  • 加拿大
• 欧洲
  • 英国
  • 德国
  • 法国
  • 义大利
  • 西班牙
  • 俄罗斯
  • 欧洲其他地区
• 亚太地区
  • 中国
  • 印度
  • 日本
  • 韩国
  • 澳新银行
  • 亚太地区其他地区
• 拉丁美洲
  • 巴西
  • 墨西哥
  • 拉丁美洲其他地区
• MEA
  • 阿联酋
  • 沙乌地阿拉伯
  • 南非
  • MEA 的其余部分

第 9 章：公司简介

• 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.

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.

Table of Contents

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

Chapter 9 Company Profiles

• 9.1 Adobe Inc.
• 9.2 Affinity Media
• 9.3 Algolux Inc.
• 9.4 Almalence Inc.
• 9.5 Alphabet Inc.
• 9.6 Apple Inc.
• 9.7 Canon Inc.
• 9.8 CEVA Inc.
• 9.9 FotoNation Inc.
• 9.10 LG Corporation
• 9.11 Light Labs Inc.
• 9.12 Nikon Corporation
• 9.13 Nvidia Corporation
• 9.14 ON Semiconductor Corporation
• 9.15 Pelican Imaging Corporation
• 9.16 Qualcomm Technologies Inc.
• 9.17 Samsung Electronics Co. Ltd.
• 9.18 Sony Group Corporation
• 9.19 Xperi Inc.