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市场调查报告书
商品编码
1479903

全球计算摄影市场－2024年至2029年预测

Global Computational Photography Market - Forecasts from 2024 to 2029
出版日期: | 出版商: Knowledge Sourcing Intelligence | 英文 129 Pages | 商品交期: 最快1-2个工作天内

价格
简介目录

2022年计算摄影市场规模为105.3亿美元，预计预测期内复合年增长率为22.28%，到2029年将达到430.34亿美元。

相机设定可以透过计算摄影实现自动化，从而可以使用数位相机（尤其是智慧型手机）进行更好的傻瓜式摄影。该硬体用于促进计算摄影的高级计算。透过压缩、放大和镶嵌影像，此软体系统增强和扩展了计算摄影的功能。

计算摄影市场也受到越来越多地采用影像融合技术来实现高品质影像的推动。近年来，融合技术在各种应用中已被普及，迫切需要客观、系统化、定量的方法来评估这些技术的性能。

市场驱动因素

  • 智慧型手机的普及

过去10年，智慧型手机的拍照能力得到了显着提升，而相机近年来也经历了巨大的发展。行动电话製造商现在正在积极透露将人工智慧 (AI) 和机器学习融入其设备的计划。高通的 Spectra ISP 技术以及运算摄影功能有潜力将智慧型手机摄影提升到前所未有的高度。

随着越来越多的消费者使用智慧型手机捕捉回忆和共用内容，对卓越影像品质的需求也不断增加。 HDR 成像、多帧降噪和人工智慧场景优化等技术有助于直接从智慧型手机提供专业外观的结果。

  • 扩大人工智慧技术的使用

人工智慧 (AI) 凭藉先进的 AI 演算法即时分析和优化影像，正在引领运算摄影领域的革命。此技术可让您自动调整设定、消除杂讯、增强细节并创建散景效果，以提高不同照明条件下的影像品质。

人工智慧驱动的人像模式和超高解析度等功能将智慧型手机摄影提升到新的高度，人工智慧可以智慧地控制深度和细节，为用户提供更精緻、更有吸引力的结果。

限制

  • 高成本：

电脑相机模组市场的成长受到高昂的维护和製造成本的阻碍。随着智慧型手机厂商努力提高影像质量，行动电话价格将会上涨。

计算摄影市场细分：按应用分为相机、智慧型手机和机器视觉

计算摄影市场按应用细分为相机、智慧型手机和机器视觉。相机具有专业摄影、运动摄影、野生动物摄影、天文摄影和电影摄影等应用。

在智慧型手机领域，计算摄影用于日常摄影、社交媒体共用、部落格、内容创作等。机器视觉应用包括工业检测、製造过程控制、自动驾驶车辆、安全和监控、医学影像处理等。

亚太地区（APAC）预计将占据计算摄影市场的主要份额。

亚太地区 (APAC) 是全球智慧型手机普及成长最快的地区之一，尤其是印度、中国和印尼等国家。该地区的智慧型手机用户群持续成长，推动了对计算摄影尖端相机功能的需求。

在亚太地区，当地企业正在积极投资计算摄影技术的开发并将其整合到其产品中。华为、Oppo 和小米等领先智慧型手机製造商处于领先地位，高度重视创新，并透过先进的相机技术实现差异化。

开拓新兴市场

  • 2023 年 11 月－OPPO 与哈苏宣布合作，共同开发注重美观的下一代 HyperTone 相机系统。该系统将率先搭载于未来的Find系列旗舰中，为使用者提供前所未有的超乎想像的行动影像体验。
  • 2023 年 6 月 -Sony Semiconductor Solutions Corporation(SSS) 宣布在本财年出货 LYTIA 品牌的新产品，主要是 5000 万像素。 LYTIA是SSS公司开发的行动装置影像感测器新产品品牌。
  • 2022年5月，小米正式宣布与徕卡相机达成影像技术策略伙伴关係。此次合作代表了小米与徕卡相机影像处理能力的全面整合，涵盖了光学、影像处理、拍摄体验等与智慧型手机影像相关的各个要素。

目录

第一章简介

  • 市场概况
  • 市场定义
  • 调查范围
  • 市场区隔
  • 货币
  • 先决条件
  • 基准年和预测年时间表
  • 相关利益者的主要利益

第二章调查方法

  • 研究设计
  • 调查过程

第三章执行摘要

  • 主要发现
  • 分析师观点

第四章市场动态

  • 市场驱动因素
  • 市场限制因素
  • 波特五力分析
  • 产业价值链分析
  • 分析师观点

第五章计算摄影的全球市场：依应用分类

  • 介绍
  • 相机
    • 市场机会和趋势
    • 成长前景
    • 地域获利能力
  • 智慧型手机
    • 市场机会和趋势
    • 成长前景
    • 地域获利能力
  • 机器视觉
    • 市场机会和趋势
    • 成长前景
    • 地域获利能力

第六章计算摄影的全球市场：按地区划分

  • 介绍
  • 北美洲
    • 按用途
    • 按国家/地区
  • 南美洲
    • 按用途
    • 按国家/地区
  • 欧洲
    • 按用途
    • 按国家/地区
  • 中东/非洲
    • 按用途
    • 按国家/地区
  • 亚太地区
    • 按用途
    • 按国家/地区

第七章竞争环境及分析

  • 主要企业及策略分析
  • 市场占有率分析
  • 合併、收购、协议和合作
  • 有竞争力的仪表板

第八章 公司简介

  • Light
  • Alphabet
  • Microsoft Corporation
  • Samsung
  • Facebook Inc.
  • Apple Inc.
  • Corephotonics Ltd.
  • Micron Technology
  • Guandong Oppo Mobile Telecommunications Corp.
  • Photogram AI
简介目录
Product Code: KSI061611389

Global computational photography market was valued at US$10.53 billion in 2022 and is expected to grow at a CAGR of 22.28% over the forecast period to reach a total market size of US$43.034 billion by 2029.

Camera settings can be automated through computational photography allowing for better point-and-shoot photography on digital cameras and particularly smartphones. The hardware is used for advanced computation to facilitate computational photography. By compressing, expanding, and mosaicking an image, this software system enhances and expands the capabilities of computational photography.

The computation photography market is also being driven by the increasing adoption of image fusion techniques to achieve high-quality images. Recently, fusion techniques have gained popularity in various types of applications, making the need for objective, systematic, and quantitative methods to assess or evaluate the performance of these technologies urgently necessary.

Market Drivers

  • Increasing use of Smartphones-

In the last ten years, there has been a remarkable enhancement in the picture-taking capabilities of smartphones, with cameras experiencing exponential growth in recent years. Presently, mobile phone manufacturers are actively revealing plans to incorporate Artificial Intelligence (AI) and machine learning into their devices. Leveraging the Qualcomm Spectra ISP technology alongside computational photography capabilities holds the potential to elevate smartphone photography to unprecedented heights.

As consumers increasingly turn to smartphones for capturing memories and sharing content, there is a growing demand for superior image quality. Techniques such as HDR imaging, multi-frame noise reduction, and AI-driven scene optimization contribute to delivering professional-looking results directly from smartphones.

  • Growing Use of AI-technology-

Artificial Intelligence (AI) is spearheading a revolution in computational photography, with advanced AI algorithms analyzing and optimizing images in real time. This technology enables automatic adjustments to settings, noise removal, detail enhancement, and the creation of bokeh effects, thereby enhancing image quality under diverse lighting conditions.

With features like AI-powered portrait mode and super-resolution, smartphone photography is taken to new heights as AI intelligently manipulates depth and detail, providing users with more sophisticated and appealing results.

Restraint-

  • High cost:

The market growth of computational camera modules is however held back by high maintenance and manufacturing costs. The price of mobile phones rises as smartphone vendors strive to improve image quality.

Global Computational photography market segmentation by application into cameras, smartphones and machine vision-

The Computational Photography Market is segmented based on applications into Cameras, Smartphones, and Machine Vision. For Cameras, the applications span professional photography, sports photography, wildlife photography, astrophotography, and cinematography.

In the realm of Smartphones, computational photography finds use in everyday photography, social media sharing, vlogging, and content creation. Machine Vision applications encompass industrial inspection, manufacturing process control, autonomous vehicles, security and surveillance, and medical imaging.

APAC is anticipated to hold a significant share of the global computational photography market-

The Asia-Pacific (APAC) region has experienced one of the swiftest rates of smartphone adoption on a global scale, notably in countries such as India, China, and Indonesia. The expansive and continually expanding user base for smartphones in this region generates a significant demand for cutting-edge camera features facilitated by computational photography.

In APAC, local companies are proactively investing in the development and integration of computational photography technologies into their products. Leading smartphone manufacturers like Huawei, Oppo, and Xiaomi are at the forefront, placing substantial emphasis on innovation and setting themselves apart through advanced camera technologies.

Market Developments-

  • November 2023- OPPO and Hasselblad announced their collaboration to co-develop the next generation of HyperTone Camera Systems, focusing on aesthetics. The systems were initially set to arrive in future Find series flagships, offering users an unprecedented mobile imaging experience beyond imagination. Two companies launched the next-generation HyperTone Camera Systems and Hasselblad camera experience, promising to continue setting new industry standards.
  • June 2023- Sony Semiconductor Solutions Corporation (SSS) announced that it shipped a new line of LYTIA brand products, primarily 50-megapixel models, in the fiscal year. LYTIA represents the new product brand of image sensors for mobile devices developed by SSS. The company leveraged its imaging and sensing technologies to bring value to the market in various ways and delivered a richer imaging experience to users.
  • May 2022- Xiaomi officially announced a strategic partnership in imagery technology with Leica Camera. The partnership represented a comprehensive integration of Xiaomi and Leica Camera's imaging capabilities, encompassing optics, imaging, image processing, photography experience, and various other factors related to smartphone imagery.

Market Segmentation

By Application

  • Cameras
  • Smart Phones
  • Machine Vision

By Geography

  • North America
  • USA
  • Canada
  • Mexico
  • South America
  • Brazil
  • Argentina
  • Others
  • Europe
  • UK
  • Germany
  • France
  • Italy
  • Others
  • Middle East and Africa
  • Saudi Arabia
  • UAE
  • Others
  • Asia Pacific
  • Japan
  • China
  • India
  • Indonesia
  • Taiwan
  • Thailand
  • Others

TABLE OF CONTENTS

1. INTRODUCTION

  • 1.1. Market Overview
  • 1.2. Market Definition
  • 1.3. Scope of the Study
  • 1.4. Market Segmentation
  • 1.5. Currency
  • 1.6. Assumptions
  • 1.7. Base, and Forecast Years Timeline
  • 1.8. Key benefits to the stakeholder

2. RESEARCH METHODOLOGY

  • 2.1. Research Design
  • 2.2. Research Process

3. EXECUTIVE SUMMARY

  • 3.1. Key Findings
  • 3.2. Analyst View

4. MARKET DYNAMICS

  • 4.1. Market Drivers
  • 4.2. Market Restraints
  • 4.3. Porter's Five Forces Analysis
    • 4.3.1. Bargaining Power of Suppliers
    • 4.3.2. Bargaining Power of Buyers
    • 4.3.3. Threat of New Entrants
    • 4.3.4. Threat of Substitutes
    • 4.3.5. Competitive Rivalry in the Industry
  • 4.4. Industry Value Chain Analysis
  • 4.5. Analyst View

5. GLOBAL COMPUTATIONAL PHOTOGRAPHY MARKET BY APPLICATION

  • 5.1. Introduction
  • 5.2. Cameras
    • 5.2.1. Market opportunities and trends
    • 5.2.2. Growth prospects
    • 5.2.3. Geographic lucrativeness
  • 5.3. Smart Phones
    • 5.3.1. Market opportunities and trends
    • 5.3.2. Growth prospects
    • 5.3.3. Geographic lucrativeness
  • 5.4. Machine Vision
    • 5.4.1. Market opportunities and trends
    • 5.4.2. Growth prospects
    • 5.4.3. Geographic lucrativeness

6. GLOBAL COMPUTATIONAL PHOTOGRAPHY MARKET BY GEOGRAPHY

  • 6.1. Introduction
  • 6.2. North America
    • 6.2.1. By Application
    • 6.2.2. By Country
      • 6.2.2.1. United States
        • 6.2.2.1.1. Market Trends and Opportunities
        • 6.2.2.1.2. Growth Prospects
      • 6.2.2.2. Canada
        • 6.2.2.2.1. Market Trends and Opportunities
        • 6.2.2.2.2. Growth Prospects
      • 6.2.2.3. Mexico
        • 6.2.2.3.1. Market Trends and Opportunities
        • 6.2.2.3.2. Growth Prospects
  • 6.3. South America
    • 6.3.1. By Application
    • 6.3.2. By Country
      • 6.3.2.1. Brazil
        • 6.3.2.1.1. Market Trends and Opportunities
        • 6.3.2.1.2. Growth Prospects
      • 6.3.2.2. Argentina
        • 6.3.2.2.1. Market Trends and Opportunities
        • 6.3.2.2.2. Growth Prospects
      • 6.3.2.3. Others
        • 6.3.2.3.1. Market Trends and Opportunities
        • 6.3.2.3.2. Growth Prospects
  • 6.4. Europe
    • 6.4.1. By Application
    • 6.4.2. By Country
      • 6.4.2.1. Germany
        • 6.4.2.1.1. Market Trends and Opportunities
        • 6.4.2.1.2. Growth Prospects
      • 6.4.2.2. France
        • 6.4.2.2.1. Market Trends and Opportunities
        • 6.4.2.2.2. Growth Prospects
      • 6.4.2.3. United Kingdom
        • 6.4.2.3.1. Market Trends and Opportunities
        • 6.4.2.3.2. Growth Prospects
      • 6.4.2.4. Italy
        • 6.4.2.4.1. Market Trends and Opportunities
        • 6.4.2.4.2. Growth Prospects
      • 6.4.2.5. Others
        • 6.4.2.5.1. Market Trends and Opportunities
        • 6.4.2.5.2. Growth Prospects
  • 6.5. Middle East and Africa
    • 6.5.1. By Application
    • 6.5.2. By Country
      • 6.5.2.1. Saudi Arabia
        • 6.5.2.1.1. Market Trends and Opportunities
        • 6.5.2.1.2. Growth Prospects
      • 6.5.2.2. UAE
        • 6.5.2.2.1. Market Trends and Opportunities
        • 6.5.2.2.2. Growth Prospects
      • 6.5.2.3. Others
        • 6.5.2.3.1. Market Trends and Opportunities
        • 6.5.2.3.2. Growth Prospects
  • 6.6. Asia Pacific
    • 6.6.1. By Application
    • 6.6.2. By Country
      • 6.6.2.1. China
        • 6.6.2.1.1. Market Trends and Opportunities
        • 6.6.2.1.2. Growth Prospects
      • 6.6.2.2. Japan
        • 6.6.2.2.1. Market Trends and Opportunities
        • 6.6.2.2.2. Growth Prospects
      • 6.6.2.3. India
        • 6.6.2.3.1. Market Trends and Opportunities
        • 6.6.2.3.2. Growth Prospects
      • 6.6.2.4. Thailand
        • 6.6.2.4.1. Market Trends and Opportunities
        • 6.6.2.4.2. Growth Prospects
      • 6.6.2.5. Indonesia
        • 6.6.2.5.1. Market Trends and Opportunities
        • 6.6.2.5.2. Growth Prospects
      • 6.6.2.6. Taiwan
        • 6.6.2.6.1. Market Trends and Opportunities
        • 6.6.2.6.2. Growth Prospects
      • 6.6.2.7. Others
        • 6.6.2.7.1. Market Trends and Opportunities
        • 6.6.2.7.2. Growth Prospects

7. COMPETITIVE ENVIRONMENT AND ANALYSIS

  • 7.1. Major Players and Strategy Analysis
  • 7.2. Market Share Analysis
  • 7.3. Mergers, Acquisition, Agreements, and Collaborations
  • 7.4. Competitive Dashboard

8. COMPANY PROFILES

  • 8.1. Light
  • 8.2. Alphabet
  • 8.3. Microsoft Corporation
  • 8.4. Samsung
  • 8.5. Facebook Inc.
  • 8.6. Apple Inc.
  • 8.7. Corephotonics Ltd.
  • 8.8. Micron Technology
  • 8.9. Guandong Oppo Mobile Telecommunications Corp.
  • 8.10. Photogram AI