헬스케어용 컴퓨터 비전 시장 규모, 점유율, 동향 분석 보고서 : 구성요소별, 제품 유형별, 최종 용도별, 용도별, 용도별, 지역별, 부문별 예측(2023-2030년)

Computer Vision In Healthcare Market Growth & Trends:

The global computer vision in healthcare market size is expected to reach USD 15.60 billion by 2030, according to a new report by Grand View Research, Inc.. The market is anticipated to grow at a CAGR of 35.2% from 2023 to 2030. Computer vision in healthcare is a subset of artificial intelligence dedicated to techniques like visual object detection, classification, tracking, depth estimation in images, and semantic segmentation, among others. The primary aim of computer vision (CV) is to emulate the human brain's capacity to receive and interpret visual information. Leveraging algorithms for image processing, computer vision enables more prompt and precise diagnostics compared to traditional physician-based approaches.

By offloading complex tasks and time-consuming processes to machines, computer systems in healthcare contribute to streamlining workflows, empowering physicians to redirect their attention toward providing enhanced patient care as the technology handles intricate diagnostic processes efficiently. The proliferation of AI-based technologies in healthcare is a key driver for the expansion of the healthcare computer vision market. AI empowers machines to execute tasks typically performed by humans. Within computer vision, AI technologies encompass natural language processing (NLP), allowing computers to comprehend text and spoken language like human understanding.

For instance, in July 2022, according to the ACR Data Science Institute, a U.S.-based entity dedicated to formulating frameworks for integrating machine learning (ML) in radiological professions, approximately 30% of radiologists have embraced AI in their clinical practices. This integration enhances the radiology imaging process, exemplifying how adopting AI-based technologies fuels the growth of healthcare computer vision market. Leveraging computer vision technology enables doctors to analyze health and fitness metrics, facilitating quicker and more informed patient medical decisions.

At present, healthcare centers are integrating this technology to measure blood loss during surgeries, particularly in procedures, such as C-sections. This real-time measurement can be instrumental in triggering emergency interventions when blood loss reaches critical levels. Furthermore, computer vision technology extends its utility to gauging body fat percentages by using images captured through standard cameras. This application showcases the technology's versatility, as it goes beyond surgical contexts to offer non-invasive assessments of health-related parameters.

Computer Vision In Healthcare Market Report Highlights:

• The hardware segment led the market in 2022. Continuous advancements in hardware technology contribute to improved image quality and diagnostic capabilities
• The PC-based product type segment held the largest revenue share in 2022. The healthcare sector relies heavily on advanced imaging technologies, and PC-based systems can provide the computing power needed for processing and visualizing high-resolution medical images
• The medical imaging & diagnostics application segment led the market in 2022. Ongoing advancements in imaging technology, such as higher-resolution imaging devices and improved modalities, contribute to the growth of the medical imaging and diagnostics segment
• The healthcare providers end-user segment held the largest revenue share of over 55.0% in 2022. Healthcare providers use computer vision for remote diagnostics, monitoring patients' vital signs, and managing chronic conditions from a distance

Table of Contents

Chapter 1. Methodology And Scope

• 1.1. Research Methodology
• 1.2. Research Scope And Assumptions
• 1.3. Information Procurement
  • 1.3.1. Purchased Database
  • 1.3.2. Gvr's Internal Database
  • 1.3.3. Secondary Sources & Third-Party Perspectives
  • 1.3.4. Primary Research
• 1.4. Information Analysis
  • 1.4.1. Data Analysis Models
• 1.5. Market Formulation & Data Visualization
• 1.6. Data Validation & Publishing

Chapter 2. Executive Summary

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

Chapter 3. Market Variables, Trends, And Scope

• 3.1. Market Lineage
• 3.2. Industry Value Chain Analysis
• 3.3. Computer Vision In Healthcare Market - Market Dynamics
  • 3.3.1. Market Driver Analysis
    • 3.3.1.1. Big Data In Healthcare
    • 3.3.1.2. Rise In Healthcare It Investments
  • 3.3.2. Market Restraint Analysis
    • 3.3.2.1. Reluctance Of Medical Practitioners To Adopt Ai-Based Technologies
  • 3.3.3. Industry Challenges
• 3.4. Business Environmental Tools Analysis: Computer Vision In Healthcare Market
  • 3.4.1. Porter's Five Forces Analysis
    • 3.4.1.1. Bargaining Power Of Suppliers
    • 3.4.1.2. Bargaining Power Of Buyers
    • 3.4.1.3. Threat Of Substitution
    • 3.4.1.4. Threat Of New Entrants
    • 3.4.1.5. Competitive Rivalry
  • 3.4.2. Pestle Analysis
    • 3.4.2.1. Political Landscape
    • 3.4.2.2. Economic Landscape
    • 3.4.2.3. Social Landscape
    • 3.4.2.4. Technology Landscape
    • 3.4.2.5. Environmental Landscape
    • 3.4.2.6. Legal Landscape
• 3.5. Economic Mega Trend Analysis

Chapter 4. Computer Vision In Healthcare Market: Component Estimates & Trend Analysis

• 4.1. Computer Vision In Healthcare Market, By Component: Key Takeaways
• 4.2. Computer Vision In Healthcare Market: Component Movement Analysis, 2022 & 2030
• 4.3. Hardware
  • 4.3.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
• 4.4. Software
  • 4.4.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
• 4.5. Services
  • 4.5.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)

Chapter 5. Computer Vision In Healthcare Market: Product Type Estimates & Trend Analysis

• 5.1. Computer Vision In Healthcare Market, By Product Type: Key Takeaways
• 5.2. Computer Vision In Healthcare Market: Product Type Movement Analysis, 2022 & 2030
• 5.3. Smart Cameras-Based Computer Vision Systems
  • 5.3.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
• 5.4. Pc-Based Computer Vision Systems
  • 5.4.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)

Chapter 6. Computer Vision In Healthcare Market: Application Estimates & Trend Analysis

• 6.1. Computer Vision In Healthcare Market, By Application: Key Takeaways
• 6.2. Computer Vision In Healthcare Market: Application Movement Analysis, 2022 & 2030
• 6.3. Medical Imaging & Diognastics
  • 6.3.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
• 6.4. Surgeries
  • 6.4.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
• 6.5. Patient Management & Research
  • 6.5.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
• 6.6. Others
  • 6.6.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)

Chapter 7. Computer Vision In Healthcare Market: End-User Estimates & Trend Analysis

• 7.1. Computer Vision In Healthcare Market, By End-User: Key Takeaways
• 7.2. Computer Vision In Healthcare Market: End-User Movement Analysis, 2022 & 2030
• 7.3. Healthcare Providers
  • 7.3.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
• 7.4. Diagnostic Centres
  • 7.4.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
• 7.5. Academic Research Institutes
  • 7.5.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
• 7.6. Others
  • 7.6.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)

Chapter 8. Computer Vision In Healthcare Market: Regional Estimates & Trend Analysis

• 8.1. Computer Vision In Healthcare Market: Regional Movement Analysis, 2022 & 2030
• 8.2. North America
  • 8.2.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
  • 8.2.2. U.S.
    • 8.2.2.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
  • 8.2.3. Canada
    • 8.2.3.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
• 8.3. Europe
  • 8.3.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
  • 8.3.2. Germany
    • 8.3.2.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
  • 8.3.3. Uk
    • 8.3.3.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
  • 8.3.4. France
    • 8.3.4.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
• 8.4. Asia Pacific
  • 8.4.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
  • 8.4.2. China
    • 8.4.2.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
  • 8.4.3. Japan
    • 8.4.3.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
  • 8.4.4. India
    • 8.4.4.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
  • 8.4.5. South Korea
    • 8.4.5.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
  • 8.4.6. Australia
    • 8.4.6.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
• 8.5. Latin America
  • 8.5.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
  • 8.5.2. Brazil
    • 8.5.2.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
  • 8.5.3. Mexico
    • 8.5.3.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
• 8.6. Middle East & Africa
  • 8.6.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
  • 8.6.2. Kingdom Of Saudi Arabia (KSA)
    • 8.6.2.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
  • 8.6.3. UAE
    • 8.6.3.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
  • 8.6.4. South Africa
    • 8.6.4.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)

Chapter 9. Competitive Landscape

• 9.1. Company Categorization
• 9.2. Company Market Positioning
• 9.3. Company Heat Map Analysis
• 9.4. Strategy Mapping
• 9.5. Company Profiles/Listing
  • 9.5.1. Aecom
    • 9.5.1.1. Overview
    • 9.5.1.2. Financial Performance
    • 9.5.1.3. Product Benchmarking
    • 9.5.1.4. Strategic Initiatives
  • 9.5.2. Lennox International Inc.
    • 9.5.2.1. Overview
    • 9.5.2.2. Financial Performance
    • 9.5.2.3. Product Benchmarking
    • 9.5.2.4. Strategic Initiatives
  • 9.5.3. Teledyne Technologies Incorporated
    • 9.5.3.1. Overview
    • 9.5.3.2. Financial Performance
    • 9.5.3.3. Product Benchmarking
    • 9.5.3.4. Strategic Initiatives
  • 9.5.4. Thermo Fisher Scientific Inc.
    • 9.5.4.1. Overview
    • 9.5.4.2. Financial Performance
    • 9.5.4.3. Product Benchmarking
    • 9.5.4.4. Strategic Initiatives
  • 9.5.5. Abatement Technologies
    • 9.5.5.1. Overview
    • 9.5.5.2. Financial Performance
    • 9.5.5.3. Product Benchmarking
    • 9.5.5.4. Strategic Initiatives
  • 9.5.6. Waste Connections
    • 9.5.6.1. Overview
    • 9.5.6.2. Financial Performance
    • 9.5.6.3. Product Benchmarking
    • 9.5.6.4. Strategic Initiatives
  • 9.5.7. Biffa Ltd
    • 9.5.7.1. Overview
    • 9.5.7.2. Financial Performance
    • 9.5.7.3. Product Benchmarking
    • 9.5.7.4. Strategic Initiatives
  • 9.5.8. Svante Technologies Inc.
    • 9.5.8.1. Overview
    • 9.5.8.2. Financial Performance
    • 9.5.8.3. Product Benchmarking
    • 9.5.8.4. Strategic Initiatives
  • 9.5.9. Carbon Clean Solutions Limited
    • 9.5.9.1. Overview
    • 9.5.9.2. Financial Performance
    • 9.5.9.3. Product Benchmarking
    • 9.5.9.4. Strategic Initiatives
  • 9.5.10. Veolia Environnement Sa
    • 9.5.10.1. Overview
    • 9.5.10.2. Financial Performance
    • 9.5.10.3. Product Benchmarking
    • 9.5.10.4. Strategic Initiatives