醫療保健市場中的電腦視覺 - 按組件、應用、最終用戶 - 2024 年 - 2032 年全球預測

由於產業的快速創新和研究，2024年至2032年全球醫療保健市場電腦視覺的複合年成長率將達到34.3%。使用人工智慧和機器學習的電腦視覺技術透過改善疾病診斷、患者護理和營運效率正在徹底改變醫療保健。

該技術可對射線、MRI 和 CT 掃描進行類似 X 的醫學影像自動分析，從而加快診斷速度並提高治療計劃的準確性。例如，2024 年 1 月，InsulLoc 宣布正在利用人工智慧和電腦視覺來確定胰島素的安全注射部位。 Bogdan Oancea 博士和 Emilia Breban 致力於幫助糖尿病患者使用智慧型手機及其創新應用程式有效管理胰島素治療。

此外，電腦視覺系統也用於監測患者生命徵象、手術支援和個人化治療，並提供優質的醫療保健。 COVID-19 大流行期間遠距醫療和遙感的廣泛採用進一步加速了電腦視覺與醫療保健的融合。

隨著醫療保健提供者尋求更有效的方法來管理患者資料和改善臨床結果，對電腦視覺技術的投資將繼續增加。這一趨勢將推動市場的顯著擴張，並將培育一個技術在提高全球醫療保健品質和可及性方面發揮關鍵作用的未來。

醫療保健行業的整體電腦視覺規模根據組件、應用程式、最終用戶和地區進行分類。

2024年至2032年，電腦視覺在醫療保健市場中的服務收入將實現令人稱讚的複合年成長率。 、病人效率方面發揮重要作用。它還有助於掃描中的異常檢測，並有助於開發手術定向服務和臨床改進。

隨著醫療機構尋求簡化工作流程並改善患者的治療效果，先進電腦視覺服務的整合不斷發展。這一趨勢凸顯了人們越來越依賴科技來改變醫療保健服務並滿足現代醫療實踐的需求。

從 2024 年到 2032 年，手術輔助領域將出現顯著成長。這些系統分析手術影像，幫助理解複雜的解剖結構，並維護手術器械以確保正確放置和對齊。

透過將先進的成像技術與人工智慧系統相結合，醫療保健提供者可以實現更好的手術效果、更短的恢復時間並減少患者的併發症。隨著手術技術的進步，手術輔助設備對電腦視覺的需求不斷成長，反映出向技術驅動的解決方案的轉變，以提高手術效率和安全性。

2024 年至 2032 年，歐洲醫療保健市場中的電腦視覺將呈現顯著的複合年成長率。該技術支援準確的醫學影像分析、診斷和手術指導，使醫院在醫療保健方面的產出和生產力得以提高。此外，監管合規性強調並支持採用電腦視覺等先進技術，以滿足患者安全和醫療保健的高標準。隨著公司繼續投資醫療保健創新，歐洲對電腦視覺解決方案的需求將繼續成長，為未來先進的臨床實踐和穩定的患者護理做出貢獻。

目錄

第 1 章：方法與範圍

第 2 章：執行摘要

第 3 章：產業洞察

• 產業生態系統分析
• 產業影響力
  • 成長動力
    • 對診斷準確性的需求不斷成長
    • 人工智慧在醫療保健研究領域的快速擴展
    • 提高遠距醫療的利用率
  • 產業陷阱與挑戰
    • 與基於雲端的技術相關的安全問題日益嚴重
    • 缺乏意識和技術知識
• 成長潛力分析
• 監管環境
• 波特的分析
• PESTEL分析

第 4 章：競爭格局

• 介紹
• 公司矩陣分析
• 主要市場參與者的競爭分析
• 競爭定位矩陣
• 戰略儀表板

第 5 章：市場估計與預測：按組成部分，2021 - 2032 年

• 主要趨勢
• 軟體
  • 本地
  • 基於雲端
• 服務

第 6 章：市場估計與預測：按應用分類，2021 - 2032

• 主要趨勢
• 醫學影像與診斷
• 手術協助
• 患者識別
• 遠距患者監護
• 其他應用

第 7 章：市場估計與預測：按最終用戶分類，2021 - 2032 年

• 主要趨勢
• 醫院和診所
• 診斷中心
• 學術研究機構
• 其他最終用戶

第 8 章：市場估計與預測：按地區，2021 - 2032

• 主要趨勢
• 北美洲
  • 美國
  • 加拿大
• 歐洲
  • 德國
  • 英國
  • 法國
  • 西班牙
  • 義大利
  • 歐洲其他地區
• 亞太地區
  • 日本
  • 中國
  • 印度
  • 澳洲
  • 亞太地區其他地區
• 拉丁美洲
  • 巴西
  • 墨西哥
  • 拉丁美洲其他地區
• 中東和非洲
  • 南非
  • 沙烏地阿拉伯
  • 中東和非洲其他地區

第 9 章：公司簡介

• 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.