医疗保健市场中的电脑视觉 - 按组件、应用、最终用户 - 2024 年 - 2032 年全球预测

由于产业的快速创新和研究，2024年至2032年全球医疗保健市场电脑视觉的复合年增长率将达到34.3%。使用人工智慧和机器学习的电脑视觉技术透过改善疾病诊断、患者护理和营运效率正在彻底改变医疗保健。

该技术可对射线、MRI 和 CT 扫描进行类似 X 的医学影像自动分析，从而加快诊断速度并提高治疗计划的准确性。例如，2024 年 1 月，InsulLoc 宣布正在利用人工智慧和电脑视觉来确定胰岛素的安全注射部位。 Bogdan Oancea 博士和 Emilia Breban 致力于帮助糖尿病患者使用智慧型手机及其创新应用程式有效管理胰岛素治疗。

此外，电脑视觉系统也用于监测患者生命征象、手术支援和个人化治疗，并提供优质的医疗保健。 COVID-19 大流行期间远距医疗和遥感的广泛采用进一步加速了电脑视觉与医疗保健的融合。

随着医疗保健提供者寻求更有效的方法来管理患者资料和改善临床结果，对电脑视觉技术的投资将继续增加。这一趋势将推动市场的显着扩张，并将培育一个技术在提高全球医疗保健品质和可及性方面发挥关键作用的未来。

医疗保健行业的整体电脑视觉规模根据组件、应用程式、最终用户和地区进行分类。

2024年至2032年，电脑视觉在医疗保健市场中的服务收入将实现令人称讚的复合年增长率。 、病人效率方面发挥重要作用。它还有助于扫描中的异常检测，并有助于开发手术定向服务和临床改进。

随着医疗机构寻求简化工作流程并改善患者的治疗效果，先进电脑视觉服务的整合不断发展。这一趋势凸显了人们越来越依赖科技来改变医疗保健服务并满足现代医疗实践的需求。

从 2024 年到 2032 年，手术辅助领域将出现显着增长。这些系统分析手术影像，帮助理解复杂的解剖结构，并维护手术器械以确保正确放置和对齐。

透过将先进的成像技术与人工智慧系统相结合，医疗保健提供者可以实现更好的手术效果、更短的恢復时间并减少患者的併发症。随着手术技术的进步，手术辅助设备对电脑视觉的需求不断增长，反映出向技术驱动的解决方案的转变，以提高手术效率和安全性。

2024 年至 2032 年，欧洲医疗保健市场中的电脑视觉将呈现显着的复合年增长率。该技术支援准确的医学影像分析、诊断和手术指导，使医院在医疗保健方面的产出和生产力得以提高。此外，监管合规性强调并支持采用电脑视觉等先进技术，以满足患者安全和医疗保健的高标准。随着公司继续投资医疗保健创新，欧洲对电脑视觉解决方案的需求将继续增长，为未来先进的临床实践和稳定的患者护理做出贡献。

目录

第 1 章：方法与范围

第 2 章：执行摘要

第 3 章：产业洞察

• 产业生态系统分析
• 产业影响力
  • 成长动力
    • 对诊断准确性的需求不断增长
    • 人工智慧在医疗保健研究领域的快速扩展
    • 提高远距医疗的利用率
  • 产业陷阱与挑战
    • 与基于云端的技术相关的安全问题日益严重
    • 缺乏意识和技术知识
• 成长潜力分析
• 监管环境
• 波特的分析
• PESTEL分析

第 4 章：竞争格局

• 介绍
• 公司矩阵分析
• 主要市场参与者的竞争分析
• 竞争定位矩阵
• 战略仪表板

第 5 章：市场估计与预测：按组成部分，2021 - 2032 年

• 主要趋势
• 软体
  • 本地
  • 基于云端
• 服务

第 6 章：市场估计与预测：按应用分类，2021 - 2032

• 主要趋势
• 医学影像与诊断
• 手术协助
• 患者识别
• 远距患者监护
• 其他应用

第 7 章：市场估计与预测：按最终用户划分，2021 - 2032 年

• 主要趋势
• 医院和诊所
• 诊断中心
• 学术研究机构
• 其他最终用户

第 8 章：市场估计与预测：按地区，2021 - 2032

• 主要趋势
• 北美洲
  • 我们
  • 加拿大
• 欧洲
  • 德国
  • 英国
  • 法国
  • 西班牙
  • 义大利
  • 欧洲其他地区
• 亚太地区
  • 日本
  • 中国
  • 印度
  • 澳洲
  • 亚太地区其他地区
• 拉丁美洲
  • 巴西
  • 墨西哥
  • 拉丁美洲其他地区
• 中东和非洲
  • 南非
  • 沙乌地阿拉伯
  • 中东和非洲其他地区

第 9 章：公司简介

• AltexSoft
• AiCure
• Encord
• General Electric (GE)
• ImFusion
• InData Labs
• Insoftex
• NVIDIA Corporation
• Robovision BV.
• Shaip
• Softengi
• Verkada Inc.

Global Computer Vision in Healthcare Market will observe a CAGR of 34.3% from 2024 to 2032 due to the rapid innovation and research in the industry. Computer vision technology using artificial intelligence and machine learning is revolutionizing healthcare by improving disease diagnosis, patient care, and operational efficiency.

This technology enables X-like medical imaging automated analysis of ray, MRI, and CT scans for faster diagnosis and greater accuracy in treatment planning. For instance, in January 2024, InsulLoc announced that it is leveraging AI and computer vision to pinpoint safe injection sites for insulin. Dr. Bogdan Oancea and Emilia Breban are focused on aiding diabetes patients in efficiently managing their insulin therapy using a smartphone and their innovative application.

Additionally, computer vision systems are used to monitor patient vital signs, surgical support, and personalized treatments and provide quality healthcare. The widespread adoption of telemedicine and remote sensing during the COVID-19 pandemic has further accelerated the integration of computer vision into healthcare.

As healthcare providers look for more efficient ways to manage patient data and improve clinical outcomes, investments in computer vision technology will continue to increase. This trend will drive significant market expansion and will foster a future in which technology plays a key role in improving the quality and accessibility of healthcare around the world.

The overall computer vision in the healthcare industry size is classified based on component, application, end-user, and region.

The computer vision in healthcare market revenue from the service segment will register a commendable CAGR from 2024 to 2032. The demand for computer vision in the healthcare market is driven by its service features that play an important role in enhancing the efficiency of medical diagnosis, patient care, and surgery. It also helps in anomaly detection in scans and helps to develop surgical orientation services and clinical improvement.

As healthcare facilities seek to streamline workflows and improve outcomes in patients, the integration of advanced computer vision services continues to evolve. This trend underscores the growing reliance on technology to transform healthcare delivery and meet the demands of modern medical practice.

The surgical assistance segment will witness an appreciable growth from 2024 to 2032. Computer vision systems provide physicians with real-time guidance and feedback during surgery, improving accuracy and reducing the risk of error. These systems analyze surgical images, aid the uptake of complex anatomy, and maintain surgical instruments to ensure proper placement and alignment.

By integrating advanced imaging technologies with AI systems, healthcare providers can achieve better surgical outcomes, shorter recovery times, and reduced complications for patients. As surgical techniques improve, the demand for computer vision in surgical aids continues to grow, reflecting a shift toward technology-driven solutions that increase surgical efficiency and safety.

Europe Computer Vision in Healthcare Market will exhibit a notable CAGR from 2024 to 2032. Computer vision applications combined with AI algorithms are revolutionizing assessment, personalized treatment planning, and surgical procedures across the continent. This technology supports accurate medical image analysis, diagnosis, and surgical guidance, enabling hospitals' output and productivity increase in health care. Furthermore, regulatory compliance emphasizes and supports the adoption of advanced technologies such as computer vision to meet high standards of patient safety and health care. As the company continues to invest in healthcare innovation, the demand for computer vision solutions in Europe is poised to continue to grow, contributing to the future of advanced clinical practices and stable care for patients.

Table of Contents

Chapter 1 Methodology & Scope

• 1.1 Market scope & definitions
• 1.2 Research design
  • 1.2.1 Research approach
  • 1.2.2 Data collection methods
• 1.3 Base estimates & calculations
  • 1.3.1 Base year calculation
  • 1.3.2 Key trends for market estimation
• 1.4 Forecast model
• 1.5 Primary research and validation
  • 1.5.1 Primary sources
  • 1.5.2 Data mining sources

Chapter 2 Executive Summary

• 2.1 Industry 360 degree synopsis

Chapter 3 Industry Insights

• 3.1 Industry ecosystem analysis
• 3.2 Industry impact forces
  • 3.2.1 Growth drivers
    • 3.2.1.1 Growing demand for diagnostic accuracy
    • 3.2.1.2 Rapid expansion of AI in healthcare in research areas
    • 3.2.1.3 Increasing utilization of telemedicine
  • 3.2.2 Industry pitfalls & challenges
    • 3.2.2.1 Rising security concerns related to cloud-based technology
    • 3.2.2.2 Lack of awareness and technical knowledge
• 3.3 Growth potential analysis
• 3.4 Regulatory landscape
• 3.5 Porter's analysis
• 3.6 PESTEL analysis

Chapter 4 Competitive Landscape, 2023

• 4.1 Introduction
• 4.2 Company matrix analysis
• 4.3 Competitive analysis of major market players
• 4.4 Competitive positioning matrix
• 4.5 Strategic dashboard

Chapter 5 Market Estimates and Forecast, By Component, 2021 - 2032 ($ Million)

• 5.1 Key trends
• 5.2 Software
  • 5.2.1 On-premises
  • 5.2.2 Cloud-based
• 5.3 Services

Chapter 6 Market Estimates and Forecast, By Application, 2021 - 2032 ($ Million)

• 6.1 Key trends
• 6.2 Medical imaging & diagnosis
• 6.3 Surgical assistance
• 6.4 Patient identification
• 6.5 Remote patient monitoring
• 6.6 Other applications

Chapter 7 Market Estimates and Forecast, By End-User, 2021 - 2032 ($ Million)

• 7.1 Key trends
• 7.2 Hospitals & clinics
• 7.3 Diagnostic centers
• 7.4 Academic research institutes
• 7.5 Other end-users

Chapter 8 Market Estimates and Forecast, By Region, 2021 - 2032 ($ Million)

• 8.1 Key trends
• 8.2 North America
  • 8.2.1 U.S.
  • 8.2.2 Canada
• 8.3 Europe
  • 8.3.1 Germany
  • 8.3.2 UK
  • 8.3.3 France
  • 8.3.4 Spain
  • 8.3.5 Italy
  • 8.3.6 Rest of Europe
• 8.4 Asia Pacific
  • 8.4.1 Japan
  • 8.4.2 China
  • 8.4.3 India
  • 8.4.4 Australia
  • 8.4.5 Rest of Asia Pacific
• 8.5 Latin America
  • 8.5.1 Brazil
  • 8.5.2 Mexico
  • 8.5.3 Rest of Latin America
• 8.6 Middle East and Africa
  • 8.6.1 South Africa
  • 8.6.2 Saudi Arabia
  • 8.6.3 Rest of Middle East and Africa

Chapter 9 Company Profiles

• 9.1 AltexSoft
• 9.2 AiCure
• 9.3 Encord
• 9.4 General Electric (GE)
• 9.5 ImFusion
• 9.6 InData Labs
• 9.7 Insoftex
• 9.8 NVIDIA Corporation
• 9.9 Robovision BV.
• 9.10 Shaip
• 9.11 Softengi
• 9.12 Verkada Inc.