시장보고서
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의료 분야 세계의 컴퓨터 비전 시장 규모, 점유율, 동향 및 성장 분석 보고서(2026-2034년)

Global Computer Vision in Healthcare Market Size, Share, Trends & Growth Analysis Report 2026-2034

발행일: | 리서치사: 구분자 Value Market Research | 페이지 정보: 영문 145 Pages | 배송안내 : 1-2일 (영업일 기준)

    
    
    




※ 본 상품은 영문 자료로 한글과 영문 목차에 불일치하는 내용이 있을 경우 영문을 우선합니다. 정확한 검토를 위해 영문 목차를 참고해주시기 바랍니다.

의료 분야 컴퓨터 비전 시장 규모는 2025년 28억 2,000만 달러에서 2026-2034년 CAGR 34.81%로 성장하여 2034년에는 414억 4,000만 달러에 이를 것으로 예측됩니다.

의료 분야 컴퓨터 비전 세계 시장은 인공지능 기술이 의료 영상 진단을 변화시키면서 빠르게 성장하고 있습니다. 컴퓨터 비전 시스템은 엑스레이, MRI, CT 스캔, 병리 슬라이드 등의 의료 이미지를 분석하여 의료진이 질병을 보다 정확하게 감지할 수 있도록 돕습니다. 만성질환의 유병률 증가와 조기 진단의 필요성이 높아지면서 병원과 진단센터에서 AI 기반 영상진단 솔루션의 도입이 가속화되고 있습니다.

딥러닝 알고리즘과 이미지 인식 기술의 발전으로 의료 분야에서의 컴퓨터 비전 용도의 정확성과 효율성이 크게 향상되고 있습니다. 이러한 기술은 종양 검출, 수술 지원, 환자 모니터링, 자동화된 의료 영상 분석에 활용되고 있습니다. 의료 서비스 제공업체들은 진단 오류를 줄이고 의사결정을 강화하기 위해 임상 워크플로우에 컴퓨터 비전 도구를 통합하는 것을 가속화하고 있습니다. 또한, 원격의료 및 디지털 헬스케어 플랫폼의 보급 확대가 시장 성장을 견인하고 있습니다.

향후 의료 시스템이 효율성과 환자 결과 개선을 위해 AI 기반 기술을 점점 더 많이 채택함에 따라 시장이 확대될 것으로 예측됩니다. 머신러닝과 데이터 분석에 대한 지속적인 연구는 의료 진단에서 컴퓨터 비전 시스템의 능력을 강화할 것입니다. 규제 프레임워크가 진화하고 의료 데이터의 가용성이 증가함에 따라 컴퓨터 비전 용도는 디지털 헬스케어의 미래를 형성하는 데 중요한 역할을 하게 될 것입니다.

목차

제1장 서론

제2장 주요 요약

제3장 시장 변수, 동향, 프레임워크

제4장 세계의 의료 분야 세계의 컴퓨터 비전 시장 : 컴포넌트별

제5장 세계의 의료 분야 세계의 컴퓨터 비전 시장 : 용도별

제6장 세계의 의료 분야 세계의 컴퓨터 비전 시장 : 최종사용자별

제7장 세계의 의료 분야 세계의 컴퓨터 비전 시장 : 지역별

제8장 경쟁 구도

제9장 기업 개요

LSH 26.04.07

The Computer Vision in Healthcare Market size is expected to reach USD 41.44 Billion in 2034 from USD 2.82 Billion (2025) growing at a CAGR of 34.81% during 2026-2034.

The global computer vision in healthcare market is experiencing rapid growth as artificial intelligence technologies transform medical imaging and diagnostics. Computer vision systems analyze medical images such as X-rays, MRIs, CT scans, and pathology slides to assist healthcare professionals in detecting diseases more accurately. The rising prevalence of chronic diseases and the increasing need for early diagnosis are driving the adoption of AI-powered imaging solutions in hospitals and diagnostic centers.

Technological advancements in deep learning algorithms and image recognition are significantly improving the accuracy and efficiency of computer vision applications in healthcare. These technologies are being used for tumor detection, surgical assistance, patient monitoring, and automated medical image analysis. Healthcare providers are increasingly integrating computer vision tools into clinical workflows to reduce diagnostic errors and enhance decision-making. Additionally, the growing adoption of telemedicine and digital healthcare platforms is further supporting market growth.

Looking forward, the market is expected to expand as healthcare systems increasingly adopt AI-driven technologies to improve efficiency and patient outcomes. Ongoing research in machine learning and data analytics will enhance the capabilities of computer vision systems in medical diagnostics. As regulatory frameworks evolve and healthcare data availability increases, computer vision applications will play a crucial role in shaping the future of digital healthcare.

Our reports are meticulously crafted to provide clients with comprehensive and actionable insights into various industries and markets. Each report encompasses several critical components to ensure a thorough understanding of the market landscape:

Market Overview: A detailed introduction to the market, including definitions, classifications, and an overview of the industry's current state.

Market Dynamics: In-depth analysis of key drivers, restraints, opportunities, and challenges influencing market growth. This section examines factors such as technological advancements, regulatory changes, and emerging trends.

Segmentation Analysis: Breakdown of the market into distinct segments based on criteria like product type, application, end-user, and geography. This analysis highlights the performance and potential of each segment.

Competitive Landscape: Comprehensive assessment of major market players, including their market share, product portfolio, strategic initiatives, and financial performance. This section provides insights into the competitive dynamics and key strategies adopted by leading companies.

Market Forecast: Projections of market size and growth trends over a specified period, based on historical data and current market conditions. This includes quantitative analyses and graphical representations to illustrate future market trajectories.

Regional Analysis: Evaluation of market performance across different geographical regions, identifying key markets and regional trends. This helps in understanding regional market dynamics and opportunities.

Emerging Trends and Opportunities: Identification of current and emerging market trends, technological innovations, and potential areas for investment. This section offers insights into future market developments and growth prospects.

MARKET SEGMENTATION

By Component

  • Software (On-premises, Cloud-based)
  • Services

By Application

  • Medical imaging & diagnosis
  • Surgical assistance
  • Patient identification
  • Remote patient monitoring
  • Other applications

By End-user

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

COMPANIES PROFILED

  • AltexSoft, AiCure, Encord, GE HealthCare General Electric, ImFusion GmbH, InData Labs, Insoftex, NVIDIA Corporation, Robovision BV, Shaip, Softengi, Verkada Inc, AiCure Inc
  • We can customise the report as per your requirements.

TABLE OF CONTENTS

Chapter 1. PREFACE

  • 1.1. Market Segmentation & Scope
  • 1.2. Market Definition
  • 1.3. Information Procurement
    • 1.3.1 Information Analysis
    • 1.3.2 Market Formulation & Data Visualization
    • 1.3.3 Data Validation & Publishing
  • 1.4. Research Scope and Assumptions
    • 1.4.1 List of Data Sources

Chapter 2. EXECUTIVE SUMMARY

  • 2.1. Market Snapshot
  • 2.2. Segmental Outlook
  • 2.3. Competitive Outlook

Chapter 3. MARKET VARIABLES, TRENDS, FRAMEWORK

  • 3.1. Market Lineage Outlook
  • 3.2. Penetration & Growth Prospect Mapping
  • 3.3. Value Chain Analysis
  • 3.4. Regulatory Framework
    • 3.4.1 Standards & Compliance
    • 3.4.2 Regulatory Impact Analysis
  • 3.5. Market Dynamics
    • 3.5.1 Market Drivers
    • 3.5.2 Market Restraints
    • 3.5.3 Market Opportunities
    • 3.5.4 Market Challenges
  • 3.6. Porter's Five Forces Analysis
  • 3.7. PESTLE Analysis

Chapter 4. GLOBAL COMPUTER VISION IN HEALTHCARE MARKET: BY COMPONENT 2022-2034 (USD MN)

  • 4.1. Market Analysis, Insights and Forecast Component
  • 4.2. Software (On-premises, Cloud-based) Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 4.3. Services Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 5. GLOBAL COMPUTER VISION IN HEALTHCARE MARKET: BY APPLICATION 2022-2034 (USD MN)

  • 5.1. Market Analysis, Insights and Forecast Application
  • 5.2. Medical imaging & diagnosis Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 5.3. Surgical assistance Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 5.4. Patient identification Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 5.5. Remote patient monitoring Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 5.6. Other applications Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 6. GLOBAL COMPUTER VISION IN HEALTHCARE MARKET: BY END-USER 2022-2034 (USD MN)

  • 6.1. Market Analysis, Insights and Forecast End-user
  • 6.2. Hospitals & clinics Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 6.3. Diagnostic centers Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 6.4. Academic research institutes Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 6.5. Other end-users Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 7. GLOBAL COMPUTER VISION IN HEALTHCARE MARKET: BY REGION 2022-2034(USD MN)

  • 7.1. Regional Outlook
  • 7.2. North America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 7.2.1 By Component
    • 7.2.2 By Application
    • 7.2.3 By End-user
    • 7.2.4 United States
    • 7.2.5 Canada
    • 7.2.6 Mexico
  • 7.3. Europe Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 7.3.1 By Component
    • 7.3.2 By Application
    • 7.3.3 By End-user
    • 7.3.4 United Kingdom
    • 7.3.5 France
    • 7.3.6 Germany
    • 7.3.7 Italy
    • 7.3.8 Russia
    • 7.3.9 Rest Of Europe
  • 7.4. Asia-Pacific Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 7.4.1 By Component
    • 7.4.2 By Application
    • 7.4.3 By End-user
    • 7.4.4 India
    • 7.4.5 Japan
    • 7.4.6 South Korea
    • 7.4.7 Australia
    • 7.4.8 South East Asia
    • 7.4.9 Rest Of Asia Pacific
  • 7.5. Latin America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 7.5.1 By Component
    • 7.5.2 By Application
    • 7.5.3 By End-user
    • 7.5.4 Brazil
    • 7.5.5 Argentina
    • 7.5.6 Peru
    • 7.5.7 Chile
    • 7.5.8 South East Asia
    • 7.5.9 Rest of Latin America
  • 7.6. Middle East & Africa Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 7.6.1 By Component
    • 7.6.2 By Application
    • 7.6.3 By End-user
    • 7.6.4 Saudi Arabia
    • 7.6.5 UAE
    • 7.6.6 Israel
    • 7.6.7 South Africa
    • 7.6.8 Rest of the Middle East And Africa

Chapter 8. COMPETITIVE LANDSCAPE

  • 8.1. Recent Developments
  • 8.2. Company Categorization
  • 8.3. Supply Chain & Channel Partners (based on availability)
  • 8.4. Market Share & Positioning Analysis (based on availability)
  • 8.5. Vendor Landscape (based on availability)
  • 8.6. Strategy Mapping

Chapter 9. COMPANY PROFILES OF GLOBAL COMPUTER VISION IN HEALTHCARE INDUSTRY

  • 9.1. Top Companies Market Share Analysis
  • 9.2. Company Profiles
    • 9.2.1 AltexSoft
    • 9.2.2 AiCure
    • 9.2.3 Encord
    • 9.2.4 GE HealthCare (General Electric)
    • 9.2.5 ImFusion GmbH
    • 9.2.6 InData Labs
    • 9.2.7 Insoftex
    • 9.2.8 NVIDIA Corporation
    • 9.2.9 Robovision BV
    • 9.2.10 Shaip
    • 9.2.11 Softengi
    • 9.2.12 Verkada Inc
    • 9.2.13 AiCure Inc
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