医疗保健领域电脑视觉市场规模、份额和成长分析(按组件、类型、应用、最终用户和地区划分)—产业预测(2026-2033 年)
市场调查报告书
商品编码
1896931

医疗保健领域电脑视觉市场规模、份额和成长分析(按组件、类型、应用、最终用户和地区划分)—产业预测(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个工作天内

价格
简介目录

全球医疗保健电脑视觉市场预计到 2024 年将达到 23.9 亿美元,到 2025 年将成长至 32.4 亿美元,到 2033 年将成长至 361.2 亿美元,在预测期(2026-2033 年)内复合年增长率为 35.2%。

电脑视觉技术在医疗保健领域的应用正在改变临床实践,使专业人员能够有效地分析健康数据,并帮助患者更快地做出更明智的医疗决策。这项技术在外科手术中至关重要,例如可以精确测量术中失血量,这在紧急情况下可能挽救生命。此外,电脑视觉的多功能性也体现在利用标准影像进行人体组成评估方面。深度学习技术,特别是卷积类神经网路(CNN) 和循环神经网路 (RNN),正处于这些解决方案发展的前沿,它们增强了对复杂医学影像的分析能力,并有助于异常检测。随着对自动化和工作流程效率的需求不断增长,电脑视觉在放射学、病理学和眼科领域的应用有望显着提高诊断准确性、改善患者照护并缩短治疗时间。

全球医疗保健电脑视觉市场驱动因素

电脑视觉技术在医疗保健领域的应用简化了医学影像和报告的分析流程,最终最大限度地减少了医护人员在这些任务上花费的时间。这种效率的提升不仅使医生能够花更多时间与患者进行高品质的交流,还提高了他们提供更有针对性、更具洞察力的提案的能力。此外,电脑视觉技术的应用有助于改善医病沟通,使医生能够更有效地服务更多患者。透过这些先进的视觉系统,医护人员可以提供精准且有效率的医疗服务,有助于提升患者照护效果。

限制全球医疗电脑视觉市场的因素

全球医疗保健领域的电脑视觉市场面临许多挑战,主要原因在于医疗资讯的敏感性以及处理大量患者资讯的需求。保护这些资料的隐私和安全对开发人员和从业人员而言都是巨大的挑战。此外,医疗保健行业受到严格的监管,尤其是有关患者隐私的监管,这使得合规变得更加复杂。例如,在美国,遵守 HIPAA(健康保险流通与责任法案)等法规对电子视觉解决方案的采用造成了重大限制,最终抑制了市场的成长和创新潜力。

全球电脑视觉市场在医疗领域的趋势

在全球医疗保健领域,电脑视觉市场正经历显着成长,这主要得益于科技的快速发展,这些技术能够提升筛检和治疗通讯协定。这些系统提高了医疗诊断的准确性,显着降低了假阳性率,并最大限度地减少了不必要的手术和昂贵的治疗。利用基于多样化资料集训练的先进演算法,电脑视觉甚至可以辨识出最细微的疾病征兆,准确率接近100%。这项发展不仅改善了患者照护效果,还有助于做出更明智的临床决策,巩固了电脑视觉在医疗保健产业变革性作用的地位。

目录

介绍

  • 调查目标
  • 调查范围
  • 定义

调查方法

  • 资讯收集
  • 一手和二手资料方法
  • 市场规模预测
  • 市场假设与限制

执行摘要

  • 全球市场展望
  • 供需趋势分析
  • 细分市场机会分析

市场动态与展望

  • 市场规模
  • 市场动态
    • 驱动因素和机会
    • 限制与挑战
  • 波特分析

关键市场考察

  • 关键成功因素
  • 竞争程度
  • 关键投资机会
  • 市场生态系统
  • 市场吸引力指数(2025)
  • PESTEL 分析
  • 总体经济指标
  • 价值链分析
  • 定价分析
  • 技术进步

全球医疗领域电脑视觉市场按组件和复合年增长率划分(2026-2033 年)

  • 软体
    • 本地部署
    • 基于云端的
  • 硬体
  • 处理器
  • CPU
  • GPU
  • FPGA
  • ASICS
  • VPUS
  • 储存装置
  • 网路
  • 服务

全球医疗领域电脑视觉市场按类型和复合年增长率划分(2026-2033 年)

  • 基于PC的电脑视觉系统
  • 基于智慧摄影机的电脑视觉系统

全球医疗领域电脑视觉市场按应用及复合年增长率划分(2026-2033 年)

  • 医学影像
  • 医院管理
    • 病患活动监测/防跌倒
    • 患者和提供者跟踪
    • 调度最佳化
    • 库存管理
  • 手术支援
  • 其他的

全球医疗领域电脑视觉市场按最终用户和复合年增长率划分(2026-2033 年)

  • 医院诊所
  • 诊断中心
  • 学术研究机构
  • 其他的

全球电脑视觉市场规模及医疗领域复合年增长率(2026-2033)

  • 北美洲
    • 美国
    • 加拿大
  • 欧洲
    • 德国
    • 西班牙
    • 法国
    • 英国
    • 义大利
    • 其他欧洲
  • 亚太地区
    • 中国
    • 印度
    • 日本
    • 韩国
    • 亚太其他地区
  • 拉丁美洲
    • 巴西
    • 其他拉丁美洲
  • 中东和非洲
    • GCC
    • 南非
    • 其他中东和非洲地区

竞争资讯

  • 前五大公司对比
  • 主要企业的市场定位(2025 年)
  • 主要市场参与者所采取的策略
  • 近期市场趋势
  • 公司市占率分析(2025 年)
  • 主要企业公司简介
    • 公司详情
    • 产品系列分析
    • 依业务板块进行公司股票分析
    • 2023-2025年营收年比比较

    主要企业简介

    • 英伟达公司(美国)
    • 英特尔公司(美国)
    • 微软公司(美国)
    • 谷歌有限责任公司(美国)
    • 高级微设备公司(AMD)(美国)
    • 巴斯勒股份公司(德国)
    • iCAD公司(美国)
    • 赛默飞世尔科技公司(美国)
    • 商汤科技(中国)
    • 基恩士株式会社(日本)
    • 赛灵思公司(美国)
    • 康耐视公司(美国)
    • 安霸公司(美国)
    • Cyber​​Optics公司(美国)
    • Teladoc Health, Inc.(美国)
    • GoodRx Holdings, Inc.(美国)
    • Talkspace公司(美国)
    • 镰刀机器人公司(美国)
    • HRL实验室(美国)
    • Metropolis Technologies(美国)

结论与建议

简介目录
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