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市場調查報告書
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1445575

計算攝影：市場佔有率分析、產業趨勢與統計、成長預測（2024-2029）

Computational Photography - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2024 - 2029)
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

計算攝影市場規模預計在2024年為206.5億美元，預計到2029年將達到381.2億美元，在預測期內（2024-2029年）市場規模將增加130.4億美元，年複合成長率為%。

計算攝影-市場

主要亮點

  • 計算攝影透過影像處理演算法減少運動模糊、結合人工景深以及改善色彩、對比度和光線範圍來增強影像。
  • 該市場是由擴大使用圖片融合方法來產生高品質影像所推動的。近年來，隨著影像融合技術在多種應用中的快速發展，人們認知到迫切需要能夠客觀、系統化、統計地分析或評估各種融合技術性能的方法。改善夜間彩色影像對於計算攝影和電腦視覺非常重要。
  • 該設備具有用於成像計算的先進計算能力。這些軟體解決方案透過壓縮、放大和鑲嵌影像來增強和擴展基於計算攝影的設備的功能。隨著計算攝影技術的發展，業餘攝影師將能夠使用智慧型手機創建更高品質的照片。
  • 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成長。
  • 然而，計算相機模組的市場成長受到高昂的維護成本和製造成本的限制。隨著行動電話手機供應商努力提高影像質量，手機價格不斷上漲。
  • 全球計算攝影市場因 COVID-19感染疾病而受到嚴重干擾。全球新措施的開發停止，導致模擬半導體市場萎縮。

計算攝影市場趨勢

智慧型手機相機市場顯著成長

  • 計算攝影現在可用於獨立相機、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相機軟體和相機模組。
  • 基於軟體的成像技術在機器視覺中的使用越來越多、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增強相機產生的影像。它主要用在行動電話上。事實上，計算攝影可以產生人們在智慧型手機照片庫中看到的令人驚嘆的照片。
  • 過去10年，智慧型手機拍照的能力不斷增強，相機近年來也迅速發展。行動電話製造商已宣布計劃將機器學習和人工智慧 (AI) 融入其產品中。
  • 過去幾年智慧型手機相機的快速進步很大程度上歸功於更好的軟體，而不是改變相機感測器。蘋果和谷歌等幾家智慧型手機製造商年復一年地不斷增強其產品的攝影功能，而沒有對實際相機感測器進行重大改變。

亞太地區預計將擁有最高的市場成長

計算攝影市場預計將快速成長，華為、小米等中國廠商數量迅速增加。

  • 這些公司開發先進的基於人工智慧的相機，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、澳洲和日本等國家，計算相機相對於單眼相機的採用將主要取決於定價實踐和大眾對這些好處的理解。
  • 推動該地區市場擴張的關鍵因素是智慧型手機相機中擴大使用計算攝影、擴大使用圖像融合技術來創建高品質照片以及複雜的攝影，這是實現這一目標的高階演算法。
  • 由於以更低的成本提供更好的機器視覺系統，以及利用更好的色彩、對比度和照明技術升級照片的能力等優勢，計算攝影在整個全部區域不斷發展。 HDR（高動態範圍）全景成像是一種流行的計算攝影技術，它有效地結合了在不同曝光下拍攝的多個重疊或曝光不足的照片的資料。

計算攝影行業概況

計算攝影市場是分散的，領先的公司透過新產品發布、協議、合作夥伴關係和收購等策略擴大了在該市場的足跡。主要企業包括 Alphabet Inc. 和 Apple Inc.。

2023 年 2 月，高通科技公司與三星合作夥伴宣佈建立合作關係。他們在全球推出了適用於Galaxy 的Snapdragon 8 Gen 2，為三星Galaxy S23 系列提供動力，帶來了性能改進，使其成為有史以來最快的Snapdragon、桌面級遊戲功能、專業級攝影功能等.定義了連網型的新標準計算包括：世界各地的消費者。相較之下，Galaxy S23 系列的發布凸顯了高通科技公司和三星公司共同致力於為旗艦 Galaxy 裝置提供優質消費者體驗。

2022 年 9 月，蘋果發布了最先進的 Pro 系列：iPhone 14 Pro 和 iPhone 14 Pro Max，配備動態島。這種新設計引入了一種直覺的方式來體驗 iPhone 和常亮顯示器。 iPhone 14 Pro 引進了全新的專業相機系統，配備首款配備四像素感應器和光子引擎的 iPhone 48MP 主相機。這種增強的影像管道極大地改善了低照度攝影。

其他福利

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

目錄

第1章簡介

  • 研究假設和市場定義
  • 調查範圍

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
    • 買方議價能力
    • 供應商的議價能力
    • 替代產品的威脅
    • 競爭公司之間的敵意強度
  • 評估 COVID-19 對產業的影響

第5章市場動態

  • 市場促進因素
    • 影像融合技術擴大被採用以實現更高的影像質量
    • 自動駕駛汽車機器視覺對高解析度運算相機的需求不斷成長
  • 市場限制因素
    • 製造和維護成本高

第6章市場區隔

  • 透過提供
    • 相機模組
    • 軟體
  • 按類型
    • 單眼相機和雙鏡頭相機
    • 16鏡頭相機
  • 按用途
    • 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 競爭形勢

  • 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 20.65 billion in 2024, and is expected to reach USD 38.12 billion by 2029, growing at a CAGR of 13.04% during the forecast period (2024-2029).

Computational Photography - Market

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