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市場調查報告書
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1643041

計算攝影：市場佔有率分析、產業趨勢與統計、成長預測（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個工作天內

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簡介目錄

計算攝影市場規模在 2025 年預計為 233.4 億美元，預計到 2030 年將達到 430.8 億美元，預測期內（2025-2030 年）的複合年成長率為 13.04%。

計算攝影-市場-IMG1

主要亮點

  • 計算攝影使用影像處理演算法來減少運動模糊、融入人工景深以及改善色彩、對比度和光線範圍，從而增強影像。
  • 影像融合技術日益廣泛地應用於產生高品質影像，這推動了市場的發展。影像融合技術在最近的多個應用中得到了迅速發展，因此人們認知到迫切需要一種客觀、方法和統計的方法來分析或評估各種融合技術的性能。改善夜間彩色影像對於計算攝影和電腦視覺至關重要。
  • 該設備具有用於計算成像的先進計算能力。透過壓縮、放大和鑲嵌影像，這些軟體解決方案增強並擴展了基於計算攝影的設備的功能。隨著計算攝影技術的發展，智慧型手機使業餘攝影師能夠拍攝出更高品質的照片。
  • 此外，在預測期內，由於感測器影像解析度的提高、相機模組、組件和設計的技術創新以及電腦視覺領域對卓越視覺技術的需求不斷成長，電腦相機產業預計將實現成長。
  • 然而，高昂的維護和製造成本阻礙了電腦相機模組市場的成長。隨著智慧型手機供應商努力提高影像質量，行動電話價格不斷上漲。
  • 全球計算攝影市場因 COVID-19 疫情而受到嚴重擾亂。全球範圍內的新措施開發陷入停滯，模擬半導體市場萎縮。

計算攝影市場的趨勢

智慧型手機相機市場大幅成長

  • 計算攝影作為獨立相機、機器視覺相機、智慧型手機獨立相機、混合實境成像、數位成像、擴增實境成像和其他應用的機內軟體或相機模組提供。
  • 這一成長背後的因素包括基於軟體的影像處理技術在機器視覺領域的應用日益廣泛、4K 和超高清技術的發展、智慧型手機的普及以及配備先進相機的高階智慧型手機的採用。
  • 此外，計算攝影使用電腦軟體來改善相機拍攝的影像。主要用於行動電話。事實上，計算攝影創造了人們在智慧型手機照片庫中看到的美麗照片。
  • 過去十年來，智慧型手機的攝影功能不斷提升，相機近年來也得到了快速改進。行動電話製造商已宣布將機器學習和人工智慧（AI）融入其產品的計劃中。
  • 過去幾年智慧型手機相機的快速進步很大程度上歸功於軟體的改進，而非相機感測器的改進。包括蘋果和谷歌在內的多家智慧型手機製造商每年都在不斷改進其產品的攝影功能，而對實際的相機感光元件並沒有做出任何重大改變。

亞太地區將迎來最高市場成長

隨著華為和小米等中國製造商的不斷湧現，計算攝影市場預計將快速成長。

  • 這些公司正在開發先進的基於人工智慧的相機，並配備強大的晶片組和處理器，用於尖端成像應用。然而，在印度、韓國、澳洲和日本等其他國家，計算相機相對於數位單眼相機的採用主要取決於定價實踐和大眾對這些優勢的理解。
  • 推動該地區市場擴張的關鍵因素是智慧型手機相機中計算攝影的使用越來越多，使用影像融合技術產生高品質照片的使用越來越多，以及實現複雜攝影的高階演算法。
  • 計算攝影由於其成本更低、機器視覺系統更優，以及色彩、對比度和照明技術更佳等優點，在整個全部區域蓬勃發展。 HDR（高動態範圍）成像和全景圖是一種流行的計算攝影技術，可以有效地結合不同曝光度的多張重疊和曝光不足的照片的資料。

計算攝影行業概況

計算攝影市場比較分散，主要企業利用新產品發布、協議、合作夥伴關係和收購等策略來擴大其在該市場的影響力。主要參與者包括 Alphabet Inc.、Apple Inc. 等。

2023年2月，Qualcomm Technologies, Inc.與三星合作夥伴宣佈建立合作關係。兩家公司在全球推出了用於 Galaxy 的驍龍 8 Gen 2，為三星 Galaxy S23 系列提供支持，提供驍龍歷史上最快的性能，以及桌面級遊戲和專業攝影功能，為全球消費者樹立了互聯計算的新標準。同時，Galaxy S23系列的推出彰顯了高通科技公司和三星共同致力於在Galaxy旗艦設備上提供優質消費者體驗。

2022 年 9 月，蘋果發表了 iPhone 14 Pro 和 iPhone 14 Pro Max，這是其最先進的 Pro 系列，具有 Dynamic Island 功能。 iPhone 14 Pro 推出了全新等級的專業相機系統，配備 iPhone 上首個 48MP 主相機、四像素感應器和光子引擎。這種增強的影像管道可以顯著改善低光攝影效果。

其他福利：

  • Excel 格式的市場預測 (ME) 表
  • 3 個月的分析師支持

目錄

第 1 章 簡介

  • 研究假設和市場定義
  • 研究範圍

第2章調查方法

第3章執行摘要

第4章 市場洞察

  • 市場概況
  • 產業價值鏈分析
  • 產業吸引力－波特五力分析
    • 新進入者的威脅
    • 購買者/消費者的議價能力
    • 供應商的議價能力
    • 替代品的威脅
    • 競爭對手之間的競爭強度
  • COVID-19 產業影響評估

第5章 市場動態

  • 市場促進因素
    • 擴大影像融合技術的應用以實現高影像質量
    • 自動駕駛汽車機器視覺對高解析度運算相機的需求日益增加
  • 市場限制
    • 製造和維護成本高

第6章 市場細分

  • 按產品
    • 相機模組
    • 軟體
  • 按類型
    • 單鏡頭和雙鏡頭相機
    • 16 鏡頭相機
  • 按應用
    • 智慧型手機相機
    • 機器視覺相機
    • 其他用途
  • 按地區
    • 北美洲
    • 歐洲
    • 亞太地區
    • 南美洲
    • 世界其他地區

第7章 競爭格局

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

第8章投資分析

第9章 市場機會與未來趨勢

簡介目錄
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