醫療保健領域電腦視覺市場規模、佔有率和成長分析(按組件、類型、應用、最終用戶和地區分類)—產業預測(2026-2033 年)
市場調查報告書
商品編碼
1896931

醫療保健領域電腦視覺市場規模、佔有率和成長分析(按組件、類型、應用、最終用戶和地區分類)—產業預測(2026-2033 年)

Computer Vision in Healthcare Market Size, Share, and Growth Analysis, By Component, By Type, By Application, By End-user, By Region - Industry Forecast 2026-2033

出版日期: | 出版商: SkyQuest | 英文 216 Pages | 商品交期: 3-5個工作天內

價格
簡介目錄

全球醫療保健電腦視覺市場預計到 2024 年將達到 23.9 億美元,到 2025 年將成長至 32.4 億美元,到 2033 年將成長至 361.2 億美元,在預測期(2026-2033 年)內複合年成長率為 35.2%。

電腦視覺技術在醫療保健領域的應用正在改變臨床實踐,使專業人員能夠有效地分析健康數據,並幫助患者更快地做出更明智的醫療決策。這項技術在外科手術中至關重要,例如可以精確測量術中失血量,這在緊急情況下可能挽救生命。此外,電腦視覺的多功能性也體現在利用標準影像進行人體組成評估方面。深度學習技術,特別是卷積類神經網路(CNN) 和循環神經網路 (RNN),正處於這些解決方案發展的前沿,它們增強了對複雜醫學影像的分析能力,並有助於異常檢測。隨著對自動化和工作流程效率的需求不斷成長,電腦視覺在放射學、病理學和眼科領域的應用有望顯著提高診斷準確性、改善患者照護並縮短治療時間。

全球醫療保健電腦視覺市場促進因素

電腦視覺技術在醫療保健領域的應用簡化了醫學影像和報告的分析流程,最終最大限度地減少了醫護人員在這些任務上花費的時間。這種效率的提升不僅使醫生能夠花更多時間與患者進行高品質的交流,還提高了他們提供更有針對性、更具洞察力的提案的能力。此外,電腦視覺技術的應用有助於改善醫病溝通,使醫生能夠更有效地服務更多患者。透過這些先進的視覺系統,醫護人員可以提供精準且有效率的醫療服務,有助於提升患者照護效果。

限制全球醫療電腦視覺市場的因素

全球醫療保健領域的電腦視覺市場面臨許多挑戰,主要原因在於醫療資訊的敏感性以及處理大量患者資訊的需求。保護這些資料的隱私和安全對開發人員和從業人員而言都是巨大的挑戰。此外,醫療保健行業受到嚴格的監管,尤其是有關患者隱私的監管,這使得合規變得更加複雜。例如,在美國,遵守 HIPAA(健康保險流通與責任法案)等法規對電子視覺解決方案的採用造成了重大限制,最終抑制了市場的成長和創新潛力。

全球電腦視覺市場在醫療領域的趨勢

在全球醫療保健領域,電腦視覺市場正經歷顯著成長,這主要得益於科技的快速發展,這些技術能夠提升篩檢和治療通訊協定。這些系統提高了醫療診斷的準確性,顯著降低了假陽性率,並最大限度地減少了不必要的手術和昂貴的治療。利用基於多樣化資料集訓練的先進演算法,電腦視覺甚至可以辨識出最細微的疾病徵兆,準確率接近100%。這項發展不僅改善了患者照護效果,還有助於做出更明智的臨床決策,鞏固了電腦視覺在醫療保健產業變革性作用的地位。

目錄

介紹

  • 調查目標
  • 調查範圍
  • 定義

調查方法

  • 資訊收集
  • 一手和二手資料方法
  • 市場規模預測
  • 市場假設與限制

執行摘要

  • 全球市場展望
  • 供需趨勢分析
  • 細分市場機會分析

市場動態與展望

  • 市場規模
  • 市場動態
    • 促進因素和機遇
    • 限制與挑戰
  • 波特分析

關鍵市場考察

  • 關鍵成功因素
  • 競爭程度
  • 關鍵投資機會
  • 市場生態系統
  • 市場吸引力指數(2025)
  • PESTEL 分析
  • 總體經濟指標
  • 價值鏈分析
  • 定價分析
  • 技術進步

全球醫療領域電腦視覺市場按組件和複合年成長率分類(2026-2033 年)

  • 軟體
    • 本地部署
    • 基於雲端的
  • 硬體
  • 處理器
  • CPU
  • GPU
  • FPGA
  • ASICS
  • VPUS
  • 儲存裝置
  • 網路
  • 服務

全球醫療領域電腦視覺市場按類型和複合年成長率分類(2026-2033 年)

  • 基於PC的電腦視覺系統
  • 基於智慧攝影機的電腦視覺系統

全球醫療領域電腦視覺市場按應用及複合年成長率分類(2026-2033 年)

  • 醫學影像
  • 醫院管理
    • 病患活動監測/防跌倒
    • 患者和提供者追蹤
    • 調度最佳化
    • 庫存管理
  • 手術支援
  • 其他

全球醫療領域電腦視覺市場按最終用戶和複合年成長率分類(2026-2033 年)

  • 醫院診所
  • 診斷中心
  • 學術研究機構
  • 其他

全球電腦視覺市場規模及醫療領域複合年成長率(2026-2033)

  • 北美洲
    • 美國
    • 加拿大
  • 歐洲
    • 德國
    • 西班牙
    • 法國
    • 英國
    • 義大利
    • 其他歐洲
  • 亞太地區
    • 中國
    • 印度
    • 日本
    • 韓國
    • 亞太其他地區
  • 拉丁美洲
    • 巴西
    • 其他拉丁美洲
  • 中東和非洲
    • GCC
    • 南非
    • 其他中東和非洲地區

競爭資訊

  • 前五大公司對比
  • 主要企業的市場定位(2025 年)
  • 主要市場參與者所採取的策略
  • 近期市場趨勢
  • 公司市佔率分析(2025 年)
  • 主要企業公司簡介
    • 公司詳情
    • 產品系列分析
    • 依業務板塊進行公司股票分析
    • 2023-2025年營收年比比較

    主要企業簡介

    • 英偉達公司(美國)
    • 英特爾公司(美國)
    • 微軟公司(美國)
    • 谷歌有限責任公司(美國)
    • 高級微設備公司(AMD)(美國)
    • 巴斯勒股份公司(德國)
    • iCAD公司(美國)
    • 賽默飛世爾科技公司(美國)
    • 商湯科技(中國)
    • 基恩士株式會社(日本)
    • 賽靈思公司(美國)
    • 康耐視公司(美國)
    • 安霸公司(美國)
    • Cyber​​Optics公司(美國)
    • Teladoc Health, Inc.(美國)
    • GoodRx Holdings, Inc.(美國)
    • Talkspace公司(美國)
    • 鐮刀機器人公司(美國)
    • HRL實驗室(美國)
    • Metropolis Technologies(美國)

結論與建議

簡介目錄
Product Code: SQMIG35A2898

Global Computer Vision in Healthcare Market size was valued at USD 2.39 Billion in 2024 and is poised to grow from USD 3.24 Billion in 2025 to USD 36.12 Billion by 2033, growing at a CAGR of 35.2% during the forecast period (2026-2033).

The adoption of computer vision technology in healthcare is transforming clinical practices by enabling professionals to analyze health data efficiently and empower patients to make informed medical decisions swiftly. This technology is critical in surgical settings, such as accurately measuring blood loss during procedures, which can be life-saving in emergencies. Additionally, computer vision's versatility extends to evaluating body composition through standard imagery. Deep learning methods, particularly convolutional and recurrent neural networks, are at the forefront of developing these solutions, enhancing the analysis of complex medical images and facilitating abnormality detection. As the demand for automation and streamlined workflows increases, computer vision applications in radiology, pathology, and ophthalmology are poised to significantly enhance diagnostic accuracy, patient care, and treatment timelines.

Top-down and bottom-up approaches were used to estimate and validate the size of the Global Computer Vision in Healthcare market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.

Global Computer Vision in Healthcare Market Segments Analysis

Global Computer Vision in Healthcare Market is segmented by Component, Type, Application, End-user and region. Based on Component, the market is segmented into Software, Hardware, Processors, CPUS, GPUS, FPGAS, ASICS, VPUS, Memory Devices, Networks and Services. Based on Type, the market is segmented into Pc-Based Computer Vision Systems and Smart Camera-Based Computer Vision Systems. Based on Application, the market is segmented intoMedical imaging& diagnosis, Hospital Management, Surgical assistance and Other applications. Based on End-user, the market is segmented into Hospitals & clinics, Diagnostic centers, Academic research institutes and Other end-users. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.

Driver of the Global Computer Vision in Healthcare Market

The integration of computer vision technology in healthcare streamlines the process of analyzing medical images and reports, ultimately minimizing the time healthcare professionals dedicate to these tasks. This efficiency not only allows physicians to spend more quality time with their patients but also enhances their ability to offer targeted and insightful recommendations. Additionally, the use of computer vision fosters improved doctor-patient communication, enabling physicians to engage with more patients effectively. By leveraging these advanced visual systems, caregivers can provide accurate and efficient healthcare services, contributing to overall better outcomes in patient care.

Restraints in the Global Computer Vision in Healthcare Market

The Global Computer Vision in Healthcare market faces notable challenges, primarily due to the sensitive nature of healthcare information and the need for extensive data processing related to patient information. Safeguarding the privacy and security of this data presents significant hurdles for developers and practitioners in the field. Additionally, the healthcare sector is subject to stringent regulations that complicate compliance efforts, particularly with laws governing patient privacy. Adherence to these regulations, such as HIPAA in the United States, poses considerable limitations on the implementation of electronic vision solutions, ultimately restraining the market's growth and innovation potential.

Market Trends of the Global Computer Vision in Healthcare Market

The global computer vision market in healthcare is witnessing significant growth, driven by rapid advancements in technology that enhance screening and treatment protocols. These systems offer heightened precision in medical diagnostics, significantly lowering false positive rates and minimizing unnecessary surgical procedures and costly treatments. By leveraging sophisticated algorithms trained on diverse data sets, computer vision is capable of identifying even the subtlest manifestations of medical conditions, offering accuracy levels nearing 100%. This evolution not only enhances patient care outcomes but also fosters more informed clinical decisions, cementing computer vision as a transformative force in the healthcare industry.

Table of Contents

Introduction

  • Objectives of the Study
  • Scope of the Report
  • Definitions

Research Methodology

  • Information Procurement
  • Secondary & Primary Data Methods
  • Market Size Estimation
  • Market Assumptions & Limitations

Executive Summary

  • Global Market Outlook
  • Supply & Demand Trend Analysis
  • Segmental Opportunity Analysis

Market Dynamics & Outlook

  • Market Overview
  • Market Size
  • Market Dynamics
    • Drivers & Opportunities
    • Restraints & Challenges
  • Porters Analysis
    • Competitive rivalry
    • Threat of substitute
    • Bargaining power of buyers
    • Threat of new entrants
    • Bargaining power of suppliers

Key Market Insights

  • Key Success Factors
  • Degree of Competition
  • Top Investment Pockets
  • Market Ecosystem
  • Market Attractiveness Index, 2025
  • PESTEL Analysis
  • Macro-Economic Indicators
  • Value Chain Analysis
  • Pricing Analysis
  • Technological Advancement

Global Computer Vision in Healthcare Market Size by Component & CAGR (2026-2033)

  • Market Overview
  • Software
    • On-premises
    • Cloud-based
  • Hardware
  • Processors
  • CPUS
  • GPUS
  • FPGAS
  • ASICS
  • VPUS
  • Memory Devices
  • Networks
  • Services

Global Computer Vision in Healthcare Market Size by Type & CAGR (2026-2033)

  • Market Overview
  • Pc-Based Computer Vision Systems
  • Smart Camera-Based Computer Vision Systems

Global Computer Vision in Healthcare Market Size by Application & CAGR (2026-2033)

  • Market Overview
  • Medical imaging & diagnosis
  • Hospital Management
    • Patient Activity Monitoring/Fall Prevention
    • Patient/Provider Tracking
    • Scheduling Optimization
    • Inventory Management
  • Surgical assistance
  • Other applications

Global Computer Vision in Healthcare Market Size by End-user & CAGR (2026-2033)

  • Market Overview
  • Hospitals & clinics
  • Diagnostic centers
  • Academic research institutes
  • Other end-users

Global Computer Vision in Healthcare Market Size & CAGR (2026-2033)

  • North America (Component, Type, Application, End-user)
    • US
    • Canada
  • Europe (Component, Type, Application, End-user)
    • Germany
    • Spain
    • France
    • UK
    • Italy
    • Rest of Europe
  • Asia Pacific (Component, Type, Application, End-user)
    • China
    • India
    • Japan
    • South Korea
    • Rest of Asia-Pacific
  • Latin America (Component, Type, Application, End-user)
    • Brazil
    • Rest of Latin America
  • Middle East & Africa (Component, Type, Application, End-user)
    • GCC Countries
    • South Africa
    • Rest of Middle East & Africa

Competitive Intelligence

  • Top 5 Player Comparison
  • Market Positioning of Key Players, 2025
  • Strategies Adopted by Key Market Players
  • Recent Developments in the Market
  • Company Market Share Analysis, 2025
  • Company Profiles of All Key Players
    • Company Details
    • Product Portfolio Analysis
    • Company's Segmental Share Analysis
    • Revenue Y-O-Y Comparison (2023-2025)

Key Company Profiles

  • NVIDIA Corporation (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Intel Corporation (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Microsoft Corporation (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Google LLC (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Advanced Micro Devices, Inc. (AMD) (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Basler AG (Germany)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • iCAD, Inc. (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Thermo Fisher Scientific Inc. (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • SenseTime (China)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • KEYENCE CORPORATION (Japan)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Xilinx Inc. (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Cognex Corporation (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Ambarella, Inc. (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • CyberOptics Corporation (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Teladoc Health, Inc. (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • GoodRx Holdings, Inc. (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Talkspace, Inc. (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Scythe Robotics (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • HRL Laboratories (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Metropolis Technologies (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments

Conclusion & Recommendations