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市場調查報告書
商品編碼
1479903

全球計算攝影市場－2024年至2029年預測

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個工作天內

價格
簡介目錄

2022年計算攝影市場規模為105.3億美元，預計預測期內複合年成長率為22.28%，到2029年將達到430.34億美元。

相機設定可以透過計算攝影實現自動化，從而可以使用數位相機（尤其是智慧型手機）進行更好的傻瓜式攝影。該硬體用於促進計算攝影的高級計算。透過壓縮、放大和鑲嵌影像，此軟體系統增強和擴展了計算攝影的功能。

計算攝影市場也受到擴大採用影像融合技術來實現高品質影像的推動。近年來，融合技術在各種應用中已被普及，迫切需要客觀、系統化、定量的方法來評估這些技術的性能。

市場促進因素

  • 智慧型手機的普及

過去10年，智慧型手機的拍照能力得到了顯著提升，而相機近年來也經歷了巨大的發展。行動電話製造商現在正在積極透露將人工智慧 (AI) 和機器學習融入其設備的計劃。高通的 Spectra ISP 技術以及運算攝影功能有潛力將智慧型手機攝影提升到前所未有的高度。

隨著越來越多的消費者使用智慧型手機捕捉回憶和共用內容，對卓越影像品質的需求也不斷增加。 HDR 成像、多幀降噪和人工智慧場景最佳化等技術有助於直接從智慧型手機提供專業外觀的結果。

  • 擴大人工智慧技術的使用

人工智慧 (AI) 憑藉先進的 AI 演算法即時分析和最佳化影像，正在引領運算攝影領域的革命。此技術可讓您自動調整設定、消除雜訊、增強細節並創建散景效果，以提高不同照明條件下的影像品質。

人工智慧驅動的人像模式和超高解析度等功能將智慧型手機攝影提升到新的高度，人工智慧可以智慧地控制深度和細節，為用戶提供更精緻、更有吸引力的結果。

限制

  • 高成本：

電腦相機模組市場的成長受到高昂的維護和製造成本的阻礙。隨著智慧型手機廠商努力提高影像質量，行動電話價格將會上漲。

計算攝影市場細分：按應用分為相機、智慧型手機和機器視覺

計算攝影市場按應用細分為相機、智慧型手機和機器視覺。相機具有專業攝影、運動攝影、野生動物攝影、天文攝影和電影攝影等應用。

在智慧型手機領域，計算攝影用於日常攝影、社交媒體共用、部落格、內容創作等。機器視覺應用包括工業檢測、製造過程控制、自動駕駛車輛、安全和監控、醫學影像處理等。

亞太地區（APAC）預計將佔據計算攝影市場的主要佔有率。

亞太地區 (APAC) 是全球智慧型手機普及成長最快的地區之一，尤其是印度、中國和印尼等國家。該地區的智慧型手機用戶群持續成長，推動了對計算攝影尖端相機功能的需求。

在亞太地區，當地企業正在積極投資計算攝影技術的開發並將其整合到其產品中。華為、Oppo 和小米等領先智慧型手機製造商處於領先地位，高度重視創新，並透過先進的相機技術實現差異化。

開拓新興市場

  • 2023 年 11 月－OPPO 與哈蘇宣布合作，共同開發注重美觀的下一代 HyperTone 相機系統。該系統將率先搭載於未來的Find系列旗艦中，為使用者提供前所未有的超乎想像的行動影像體驗。
  • 2023 年 6 月 -Sony Semiconductor Solutions Corporation(SSS) 宣佈在本會計年度出貨 LYTIA 品牌的新產品，主要是 5000 萬像素。 LYTIA是SSS公司開發的行動裝置影像感測器新產品品牌。
  • 2022年5月，小米正式宣布與徠卡相機達成影像技術策略夥伴關係。此次合作代表了小米與徠卡相機影像處理能力的全面整合，涵蓋了光學、影像處理、拍攝體驗等與智慧型手機影像相關的各個要素。

目錄

第1章簡介

  • 市場概況
  • 市場定義
  • 調查範圍
  • 市場區隔
  • 貨幣
  • 先決條件
  • 基準年和預測年時間表
  • 相關利益者的主要利益

第2章調查方法

  • 研究設計
  • 調查過程

第3章執行摘要

  • 主要發現
  • 分析師觀點

第4章市場動態

  • 市場促進因素
  • 市場限制因素
  • 波特五力分析
  • 產業價值鏈分析
  • 分析師觀點

第5章計算攝影的全球市場：依應用分類

  • 介紹
  • 相機
    • 市場機會和趨勢
    • 成長前景
    • 地域獲利能力
  • 智慧型手機
    • 市場機會和趨勢
    • 成長前景
    • 地域獲利能力
  • 機器視覺
    • 市場機會和趨勢
    • 成長前景
    • 地域獲利能力

第6章計算攝影的全球市場：按地區分類

  • 介紹
  • 北美洲
    • 按用途
    • 按國家/地區
  • 南美洲
    • 按用途
    • 按國家/地區
  • 歐洲
    • 按用途
    • 按國家/地區
  • 中東/非洲
    • 按用途
    • 按國家/地區
  • 亞太地區
    • 按用途
    • 按國家/地區

第7章競爭環境及分析

  • 主要企業及策略分析
  • 市場佔有率分析
  • 合併、收購、協議和合作
  • 有競爭力的儀表板

第8章 公司簡介

  • Light
  • Alphabet
  • Microsoft Corporation
  • Samsung
  • Facebook Inc.
  • Apple Inc.
  • Corephotonics Ltd.
  • Micron Technology
  • Guandong Oppo Mobile Telecommunications Corp.
  • Photogram AI
簡介目錄
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