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市场调查报告书
商品编码
1643041

计算摄影：市场占有率分析、产业趋势与统计、成长预测（2025-2030 年）

Computational Photography - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2025 - 2030)
出版日期: | 出版商: Mordor Intelligence | 英文 120 Pages | 商品交期: 2-3个工作天内

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简介目录

计算摄影市场规模在 2025 年预计为 233.4 亿美元，预计到 2030 年将达到 430.8 亿美元，预测期内（2025-2030 年）的复合年增长率为 13.04%。

计算摄影-市场-IMG1

主要亮点

  • 计算摄影使用影像处理演算法来减少运动模糊、融入人工景深以及改善色彩、对比度和光线范围，从而增强影像。
  • 影像融合技术日益广泛地应用于产生高品质影像，这推动了市场的发展。影像融合技术在最近的多个应用中得到了迅速发展，因此人们认识到迫切需要一种客观、方法和统计的方法来分析或评估各种融合技术的性能。改善夜间彩色影像对于计算摄影和电脑视觉至关重要。
  • 该设备具有用于计算成像的先进计算能力。透过压缩、放大和镶嵌影像，这些软体解决方案增强并扩展了基于计算摄影的设备的功能。随着计算摄影技术的发展，智慧型手机使业余摄影师能够拍摄出更高品质的照片。
  • 此外，在预测期内，由于感测器影像解析度的提高、相机模组、组件和设计的技术创新以及电脑视觉领域对卓越视觉技术的需求不断增长，电脑相机产业预计将实现成长。
  • 然而，高昂的维护和製造成本阻碍了电脑相机模组市场的成长。随着智慧型手机供应商努力提高影像质量，行动电话价格不断上涨。
  • 全球计算摄影市场因 COVID-19 疫情而受到严重扰乱。全球范围内的新措施开发陷入停滞，模拟半导体市场萎缩。

计算摄影市场的趋势

智慧型手机相机市场大幅成长

  • 计算摄影作为独立相机、机器视觉相机、智慧型手机独立相机、混合实境成像、数位成像、扩增实境成像和其他应用的机内软体或相机模组提供。
  • 这一增长背后的因素包括基于软体的影像处理技术在机器视觉领域的应用日益广泛、4K 和超高清技术的发展、智慧型手机的普及以及配备先进相机的高端智慧型手机的采用。
  • 此外，计算摄影使用电脑软体来改善相机拍摄的影像。主要用于行动电话。事实上，计算摄影创造了人们在智慧型手机照片库中看到的美丽照片。
  • 过去十年来，智慧型手机的摄影功能不断提升，相机近年来也得到了快速改进。行动电话製造商已宣布将机器学习和人工智慧（AI）融入其产品的计划中。
  • 过去几年智慧型手机相机的快速进步很大程度上归功于软体的改进，而非相机感测器的改进。包括苹果和谷歌在内的多家智慧型手机製造商每年都在不断改进其产品的摄影功能，而对实际的相机感光元件并没有做出任何重大改变。

亚太地区将迎来最高市场成长

随着华为和小米等中国製造商的不断涌现，计算摄影市场预计将快速成长。

  • 这些公司正在开发先进的基于人工智慧的相机，并配备强大的晶片组和处理器，用于尖端成像应用。然而，在印度、韩国、澳洲和日本等其他国家，计算相机相对于数位单眼相机的采用主要取决于定价实践和大众对这些优势的理解。
  • 推动该地区市场扩张的关键因素是智慧型手机相机中计算摄影的使用越来越多，使用影像融合技术产生高品质照片的使用越来越多，以及实现复杂摄影的高端演算法。
  • 计算摄影由于其成本更低、机器视觉系统更优，以及色彩、对比度和照明技术更佳等优点，在整个全部区域蓬勃发展。 HDR（高动态范围）成像和全景图是一种流行的计算摄影技术，可以有效地结合不同曝光度的多张重迭和曝光不足的照片的资料。

计算摄影行业概况

计算摄影市场比较分散，主要企业利用新产品发布、协议、合作伙伴关係和收购等策略来扩大其在该市场的影响力。主要参与者包括 Alphabet Inc.、Apple Inc. 等。

2023年2月，Qualcomm Technologies, Inc.与三星合作伙伴宣布建立合作关係。两家公司在全球推出了用于 Galaxy 的骁龙 8 Gen 2，为三星 Galaxy S23 系列提供支持，提供骁龙历史上最快的性能，以及桌面级游戏和专业摄影功能，为全球消费者树立了互联计算的新标准。同时，Galaxy S23系列的推出彰显了高通科技公司和三星共同致力于在Galaxy旗舰设备上提供优质消费者体验。

2022 年 9 月，苹果发表了 iPhone 14 Pro 和 iPhone 14 Pro Max，这是其最先进的 Pro 系列，具有 Dynamic Island 功能。 iPhone 14 Pro 推出了全新等级的专业相机系统，配备 iPhone 上首个 48MP 主相机、四像素感应器和光子引擎。这种增强的影像管道可以显着改善低光摄影效果。

其他福利：

  • Excel 格式的市场预测 (ME) 表
  • 3 个月的分析师支持

目录

第 1 章 简介

  • 研究假设和市场定义
  • 研究范围

第二章调查方法

第三章执行摘要

第四章 市场洞察

  • 市场概况
  • 产业价值链分析
  • 产业吸引力－波特五力分析
    • 新进入者的威胁
    • 购买者/消费者的议价能力
    • 供应商的议价能力
    • 替代品的威胁
    • 竞争对手之间的竞争强度
  • COVID-19 产业影响评估

第五章 市场动态

  • 市场驱动因素
    • 扩大影像融合技术的应用以实现高影像质量
    • 自动驾驶汽车机器视觉对高解析度运算相机的需求日益增加
  • 市场限制
    • 製造和维护成本高

第六章 市场细分

  • 按产品
    • 相机模组
    • 软体
  • 按类型
    • 单镜头和双镜头相机
    • 16 镜头相机
  • 按应用
    • 智慧型手机相机
    • 机器视觉相机
    • 其他用途
  • 按地区
    • 北美洲
    • 欧洲
    • 亚太地区
    • 南美洲
    • 世界其他地区

第七章 竞争格局

  • 公司简介
    • Apple Inc.
    • Alphabet Inc.
    • Qualcomm Technologies Inc.
    • Nvidia Corporation
    • Light Labs Inc.
    • CEVA Inc.
    • FotoNation Inc.
    • Algolux Inc.
    • Pelican Imaging Corporation
    • Almalence Inc.

第八章投资分析

第九章 市场机会与未来趋势

简介目录
Product Code: 69241

The Computational Photography Market size is estimated at USD 23.34 billion in 2025, and is expected to reach USD 43.08 billion by 2030, at a CAGR of 13.04% during the forecast period (2025-2030).

Computational Photography - Market - IMG1

Key Highlights

  • Computational photography enhances images through image processing algorithms by reducing motion blur, incorporating artificial depth of field, and improving color, contrast, and light range.
  • The market is driven by the increasing use of the Picture Fusion Method to produce high-quality images. Methods that may objectively, methodically, and statistically analyze or evaluate the performance of various fusion technologies have been recognized as urgently needed since picture fusion techniques have developed quickly in multiple applications in recent years. Improving nighttime color images is crucial to computational photography and computer vision.
  • The device has sophisticated computational capabilities that are used in computing imaging. By compressing, enlarging, and mosaicking an image, these software solutions enhance and extend the capabilities of computational photography-based devices. Smartphones enable amateur photographers to create photographs of higher quality as computational photography technology develops.
  • Additionally, during the forecast period, the industry for computer cameras is anticipated to experience growth due to improvements in sensor image resolution, technological innovation in camera modules, components, and design, and a rise in demand for superior vision technology in the computer vision sector.
  • However, the market growth of computational camera modules is held back by high maintenance and manufacturing costs. Mobile phone prices rise as smartphone vendors strive to improve image quality.
  • The global market for computational photography was considerably disrupted by the COVID-19 epidemic. The development of new initiatives around the globe halted, which consequently reduced the market for analog semiconductors.

Computational Photography Market Trends

Smartphone Cameras to Witness Significant Market Growth

  • Computational photography is now available in-camera software and camera modules for standalone cameras, machine vision cameras, standalone cameras for smartphones, mixed reality imaging, digital imaging, augmented reality imaging, and other applications.
  • The growing use of software-based imaging techniques in machine vision, the development of 4K and super HD technologies, the penetration of smartphones, and the adoption of high-end smartphones with sophisticated cameras.
  • Moreover, computational photography uses computer software to improve pictures produced by cameras. It is primarily utilized in cell phones. In reality, computational photography produces the stunning photographs people see in their smartphone photo galleries.
  • The ability to take pictures on smartphones has increased over the past ten years, and the cameras have advanced rapidly in recent years. Mobile phone manufacturers are announcing their plans to include machine learning and artificial intelligence (AI) in their products.
  • Instead of modifying the camera sensor, the fast progress in smartphone cameras over the past few years may largely be credited to better software. Several smartphone producers, such as Apple and Google, consistently enhance the photo-taking capabilities of their products year after year without ever significantly modifying the actual camera sensors.

Asia Pacific region is set to witness highest market growth

The market for computational photography is predicted to see rapid growth and a surge in the number of Chinese manufacturers like Huawei and Xiaomi.

  • These companies develop sophisticated AI-based cameras with potent chipsets and processors for cutting-edge image applications. However, the adoption of computational cameras over DSLR cameras in other nations like India, South Korea, Australia, and Japan will primarily depend on pricing practices and public understanding of these advantages.
  • An important driver boosting market expansion in the region is the increasing usage of computational photography in smartphone cameras, the growing use of image fusion techniques to produce high-quality photographs, and high-end algorithms to have sophisticated photography.
  • Computational photography has grown throughout the region due to its benefits, which include providing better machine vision systems at a reduced cost and upgrading photographs with better color, contrast, and lighting techniques. The popular computational photography technique, HDR (High Dynamic Range) Imaging with Panoramic, effectively combines data from several overlapping and underexposed shots that are exposed differently.

Computational Photography Industry Overview

The computational photography market is fragmented, and the major players have used strategies such as new product launches, agreements, partnerships, acquisitions, and others to increase their footprints in this market. Key players are Alphabet Inc., Apple Inc., etc.

In February 2023, Qualcomm Technologies, Inc and Samsung Partner announced a collaboration. They launched Snapdragon 8 Gen 2 for Galaxy powers Samsung Galaxy S23 series globally, bringing accelerated performance, making it the fastest Snapdragon ever, and defining a new standard for connected computing, including desktop-level gaming features, professional-grade photography, and more to consumers around the world. In contrast, the Galaxy S23 series launch underscores Qualcomm Technologies and Samsung's mutual commitment to delivering premium consumer experiences for flagship Galaxy devices.

In September 2022, Apple announced the iPhone 14 Pro and iPhone 14 Pro Max, the most advanced Pro lineup, featuring Dynamic Island. This new design introduces an intuitive way to experience iPhone and the Always-On display, iPhone 14 Pro introduces a new class of pro camera system, with the first-ever 48MP Main camera on iPhone featuring a quad-pixel sensor and Photonic Engine. This enhanced image pipeline dramatically improves low-light photos.

Additional Benefits:

  • The market estimate (ME) sheet in Excel format
  • 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 Study Assumptions and Market Definition
  • 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET INSIGHTS

  • 4.1 Market Overview
  • 4.2 Industry Value Chain Analysis
  • 4.3 Industry Attractiveness - Porter's Five Forces Analysis
    • 4.3.1 Threat of New Entrants
    • 4.3.2 Bargaining Power of Buyers/Consumers
    • 4.3.3 Bargaining Power of Suppliers
    • 4.3.4 Threat of Substitute Products
    • 4.3.5 Intensity of Competitive Rivalry
  • 4.4 Assessment of the Impact of COVID-19 on the Industry

5 MARKET DYNAMICS

  • 5.1 Market Drivers
    • 5.1.1 Growing Adoption of Image Fusion Technique to Achieve High-quality Image
    • 5.1.2 Increasing Demand for High-resolution Computational Cameras in Machine Vision for Autonomous Vehicle
  • 5.2 Market Restraints
    • 5.2.1 High Manufacturing and Maintenance Costs

6 MARKET SEGMENTATION

  • 6.1 By Offerings
    • 6.1.1 Camera Modules
    • 6.1.2 Software
  • 6.2 By Type
    • 6.2.1 Single- and Dual-Lens Cameras
    • 6.2.2 16-Lens Cameras
  • 6.3 By Application
    • 6.3.1 Smartphone Cameras
    • 6.3.2 Machine Vision Cameras
    • 6.3.3 Other Applications
  • 6.4 By Geography
    • 6.4.1 North America
    • 6.4.2 Europe
    • 6.4.3 Asia-Pacific
    • 6.4.4 South America
    • 6.4.5 Rest of the World

7 COMPETITIVE LANDSCAPE

  • 7.1 Company Profiles
    • 7.1.1 Apple Inc.
    • 7.1.2 Alphabet Inc.
    • 7.1.3 Qualcomm Technologies Inc.
    • 7.1.4 Nvidia Corporation
    • 7.1.5 Light Labs Inc.
    • 7.1.6 CEVA Inc.
    • 7.1.7 FotoNation Inc.
    • 7.1.8 Algolux Inc.
    • 7.1.9 Pelican Imaging Corporation
    • 7.1.10 Almalence Inc.

8 INVESTMENT ANALYSIS

9 MARKET OPPORTUNITIES AND FUTURE TRENDS