컴퓨터 보조 탐지 시장 분석 및 예측 : 유형, 제품 유형, 기술, 구성요소, 용도, 도입 형태, 최종 사용자, 기능, 솔루션, 방식(-2035년)

The global Computer-Aided Detection Market is projected to grow from $0.9 billion in 2025 to $1.5 billion by 2035, at a compound annual growth rate (CAGR) of 4.9%. The Computer-Aided Detection Market is moderately consolidated, with strong demand in oncology applications, especially breast and lung cancer detection. It is driven by increasing use of AI and machine learning in medical imaging. Hospitals and diagnostic centers rely on CAD systems to improve diagnostic accuracy. Key players focus on integrating CAD with imaging systems and healthcare IT platforms. Strategic partnerships and acquisitions support technological advancements. Rising chronic disease prevalence and demand for early diagnosis continue to drive growth in this market.

The Computer-Aided Detection (CAD) market is segmented by type, with mammography CAD systems holding a dominant position due to their vital role in early breast cancer detection. These systems are widely implemented across healthcare facilities, driven by the increasing prevalence of breast cancer and the growing need for accurate and reliable diagnostic solutions. Lung CAD systems are also witnessing notable growth, supported by the rising incidence of lung cancer and continuous advancements in imaging technologies. Furthermore, the integration of artificial intelligence (AI) is significantly enhancing diagnostic precision and accelerating adoption.

In terms of technology, X-ray imaging-based CAD systems lead the market owing to their widespread use in identifying multiple conditions, including fractures and tumors. Meanwhile, MRI-based CAD systems are experiencing robust growth due to their superior imaging capabilities and expanding applications in neurological and musculoskeletal diagnostics. Ongoing advancements in imaging modalities and the increasing focus on precision medicine continue to drive the adoption of these technologies.

Geographical Overview

The Computer-Aided Detection market in North America is highly mature, driven by strong adoption of advanced imaging technologies and artificial intelligence in healthcare. The United States dominates due to significant investments in healthcare IT infrastructure and widespread use of CAD systems in radiology. Increasing prevalence of chronic diseases, particularly cancer, is fueling demand for early detection solutions. Canada also contributes with growing adoption of digital health technologies. Continuous innovation in AI and machine learning enhances diagnostic accuracy and workflow efficiency, making CAD systems an integral part of modern diagnostic practices across the region.

The Asia-Pacific CAD market is rapidly expanding due to increasing healthcare digitization and rising demand for advanced diagnostic tools. Countries such as China, Japan, and India are key contributors, supported by growing investments in medical technology and healthcare infrastructure. Rising prevalence of chronic diseases and increasing awareness of early diagnosis are driving adoption. Government initiatives promoting digital healthcare solutions further support growth. Expanding hospital networks and improving access to imaging technologies are enhancing market penetration. Continuous advancements in AI-driven diagnostics are expected to accelerate growth across the region.

Key Trends and Drivers

Integration of AI and Machine Learning:

The computer-aided detection market is witnessing a significant trend toward the integration of artificial intelligence and machine learning technologies. These advancements are improving the accuracy and efficiency of diagnostic imaging by reducing false positives and enhancing detection rates. AI-driven systems can analyze complex medical images more effectively, assisting healthcare professionals in identifying abnormalities at an early stage. This integration is transforming diagnostic workflows and improving patient outcomes. As technology continues to evolve, AI-powered CAD systems are expected to become an essential component in modern healthcare diagnostics.

Increasing Demand for Early Diagnosis:

The growing need for early disease detection is a key driver of the computer-aided detection market. Early diagnosis significantly improves treatment outcomes, particularly in conditions such as cancer and cardiovascular diseases. Healthcare providers are increasingly adopting CAD systems to enhance diagnostic accuracy and efficiency. Rising awareness among patients and advancements in imaging technologies are further supporting adoption. Additionally, government initiatives promoting preventive healthcare and screening programs are boosting demand. This focus on early detection is driving the widespread use of CAD solutions across healthcare systems.

Research Scope

• Estimates and forecasts the overall market size across type, application, and region.
• Provides detailed information and key takeaways on qualitative and quantitative trends, dynamics, business framework, competitive landscape, and company profiling.
• Identifies factors influencing market growth and challenges, opportunities, drivers, and restraints.
• Identifies factors that could limit company participation in international markets to help calibrate market share expectations and growth rates.
• Evaluates key development strategies like acquisitions, product launches, mergers, collaborations, business expansions, agreements, partnerships, and R&D activities.
• Analyzes smaller market segments strategically, focusing on their potential, growth patterns, and impact on the overall market.
• Outlines the competitive landscape, assessing business and corporate strategies to monitor and dissect competitive advancements.

Our research scope provides comprehensive market data, insights, and analysis across a variety of critical areas. We cover Local Market Analysis, assessing consumer demographics, purchasing behaviors, and market size within specific regions to identify growth opportunities. Our Local Competition Review offers a detailed evaluation of competitors, including their strengths, weaknesses, and market positioning. We also conduct Local Regulatory Reviews to ensure businesses comply with relevant laws and regulations. Industry Analysis provides an in-depth look at market dynamics, key players, and trends. Additionally, we offer Cross-Segmental Analysis to identify synergies between different market segments, as well as Production-Consumption and Demand-Supply Analysis to optimize supply chain efficiency. Our Import-Export Analysis helps businesses navigate global trade environments by evaluating trade flows and policies. These insights empower clients to make informed strategic decisions, mitigate risks, and capitalize on market opportunities.

TABLE OF CONTENTS

1 Executive Summary

• 1.1 Market Size and Forecast
• 1.2 Market Overview
• 1.3 Market Snapshot
• 1.4 Regional Snapshot
• 1.5 Strategic Recommendations
• 1.6 Analyst Notes

2 Market Highlights

• 2.1 Key Market Highlights by Type
• 2.2 Key Market Highlights by Product
• 2.3 Key Market Highlights by Technology
• 2.4 Key Market Highlights by Component
• 2.5 Key Market Highlights by Application
• 2.6 Key Market Highlights by End User
• 2.7 Key Market Highlights by Deployment
• 2.8 Key Market Highlights by Functionality
• 2.9 Key Market Highlights by Solutions
• 2.10 Key Market Highlights by Mode

3 Market Dynamics

• 3.1 Macroeconomic Analysis
• 3.2 Market Trends
• 3.3 Market Drivers
• 3.4 Market Opportunities
• 3.5 Market Restraints
• 3.6 CAGR Growth Analysis
• 3.7 Impact Analysis
• 3.8 Emerging Markets
• 3.9 Technology Roadmap
• 3.10 Strategic Frameworks
  • 3.10.1 PORTER's 5 Forces Model
  • 3.10.2 ANSOFF Matrix
  • 3.10.3 4P's Model
  • 3.10.4 PESTEL Analysis

4 Segment Analysis

• 4.1 Market Size & Forecast by Type (2020-2035)
  • 4.1.1 Breast Cancer Detection
  • 4.1.2 Lung Cancer Detection
  • 4.1.3 Colorectal Cancer Detection
  • 4.1.4 Prostate Cancer Detection
  • 4.1.5 Liver Cancer Detection
  • 4.1.6 Others
• 4.2 Market Size & Forecast by Product (2020-2035)
  • 4.2.1 Software
  • 4.2.2 Services
  • 4.2.3 Integrated Solutions
  • 4.2.4 Others
• 4.3 Market Size & Forecast by Technology (2020-2035)
  • 4.3.1 Deep Learning
  • 4.3.2 Machine Learning
  • 4.3.3 Natural Language Processing
  • 4.3.4 Image Recognition
  • 4.3.5 Pattern Recognition
  • 4.3.6 Others
• 4.4 Market Size & Forecast by Component (2020-2035)
  • 4.4.1 Hardware
  • 4.4.2 Software
  • 4.4.3 Services
  • 4.4.4 Others
• 4.5 Market Size & Forecast by Application (2020-2035)
  • 4.5.1 Oncology
  • 4.5.2 Cardiovascular
  • 4.5.3 Neurology
  • 4.5.4 Orthopedics
  • 4.5.5 Others
• 4.6 Market Size & Forecast by End User (2020-2035)
  • 4.6.1 Hospitals
  • 4.6.2 Diagnostic Centers
  • 4.6.3 Research Institutes
  • 4.6.4 Academic Institutions
  • 4.6.5 Others
• 4.7 Market Size & Forecast by Deployment (2020-2035)
  • 4.7.1 Cloud-Based
  • 4.7.2 On-Premise
  • 4.7.3 Hybrid
  • 4.7.4 Others
• 4.8 Market Size & Forecast by Functionality (2020-2035)
  • 4.8.1 Image Analysis
  • 4.8.2 Data Management
  • 4.8.3 Workflow Optimization
  • 4.8.4 Others
• 4.9 Market Size & Forecast by Solutions (2020-2035)
  • 4.9.1 Standalone
  • 4.9.2 Integrated
  • 4.9.3 Others
• 4.10 Market Size & Forecast by Mode (2020-2035)
  • 4.10.1 Automated
  • 4.10.2 Semi-Automated
  • 4.10.3 Manual
  • 4.10.4 Others

5 Regional Analysis

• 5.1 Global Market Overview
• 5.2 North America Market Size (2020-2035)
  • 5.2.1 United States
    • 5.2.1.1 Type
    • 5.2.1.2 Product
    • 5.2.1.3 Technology
    • 5.2.1.4 Component
    • 5.2.1.5 Application
    • 5.2.1.6 End User
    • 5.2.1.7 Deployment
    • 5.2.1.8 Functionality
    • 5.2.1.9 Solutions
    • 5.2.1.10 Mode
  • 5.2.2 Canada
    • 5.2.2.1 Type
    • 5.2.2.2 Product
    • 5.2.2.3 Technology
    • 5.2.2.4 Component
    • 5.2.2.5 Application
    • 5.2.2.6 End User
    • 5.2.2.7 Deployment
    • 5.2.2.8 Functionality
    • 5.2.2.9 Solutions
    • 5.2.2.10 Mode
  • 5.2.3 Mexico
    • 5.2.3.1 Type
    • 5.2.3.2 Product
    • 5.2.3.3 Technology
    • 5.2.3.4 Component
    • 5.2.3.5 Application
    • 5.2.3.6 End User
    • 5.2.3.7 Deployment
    • 5.2.3.8 Functionality
    • 5.2.3.9 Solutions
    • 5.2.3.10 Mode
• 5.3 Latin America Market Size (2020-2035)
  • 5.3.1 Brazil
    • 5.3.1.1 Type
    • 5.3.1.2 Product
    • 5.3.1.3 Technology
    • 5.3.1.4 Component
    • 5.3.1.5 Application
    • 5.3.1.6 End User
    • 5.3.1.7 Deployment
    • 5.3.1.8 Functionality
    • 5.3.1.9 Solutions
    • 5.3.1.10 Mode
  • 5.3.2 Argentina
    • 5.3.2.1 Type
    • 5.3.2.2 Product
    • 5.3.2.3 Technology
    • 5.3.2.4 Component
    • 5.3.2.5 Application
    • 5.3.2.6 End User
    • 5.3.2.7 Deployment
    • 5.3.2.8 Functionality
    • 5.3.2.9 Solutions
    • 5.3.2.10 Mode
  • 5.3.3 Rest of Latin America
    • 5.3.3.1 Type
    • 5.3.3.2 Product
    • 5.3.3.3 Technology
    • 5.3.3.4 Component
    • 5.3.3.5 Application
    • 5.3.3.6 End User
    • 5.3.3.7 Deployment
    • 5.3.3.8 Functionality
    • 5.3.3.9 Solutions
    • 5.3.3.10 Mode
• 5.4 Asia-Pacific Market Size (2020-2035)
  • 5.4.1 China
    • 5.4.1.1 Type
    • 5.4.1.2 Product
    • 5.4.1.3 Technology
    • 5.4.1.4 Component
    • 5.4.1.5 Application
    • 5.4.1.6 End User
    • 5.4.1.7 Deployment
    • 5.4.1.8 Functionality
    • 5.4.1.9 Solutions
    • 5.4.1.10 Mode
  • 5.4.2 India
    • 5.4.2.1 Type
    • 5.4.2.2 Product
    • 5.4.2.3 Technology
    • 5.4.2.4 Component
    • 5.4.2.5 Application
    • 5.4.2.6 End User
    • 5.4.2.7 Deployment
    • 5.4.2.8 Functionality
    • 5.4.2.9 Solutions
    • 5.4.2.10 Mode
  • 5.4.3 South Korea
    • 5.4.3.1 Type
    • 5.4.3.2 Product
    • 5.4.3.3 Technology
    • 5.4.3.4 Component
    • 5.4.3.5 Application
    • 5.4.3.6 End User
    • 5.4.3.7 Deployment
    • 5.4.3.8 Functionality
    • 5.4.3.9 Solutions
    • 5.4.3.10 Mode
  • 5.4.4 Japan
    • 5.4.4.1 Type
    • 5.4.4.2 Product
    • 5.4.4.3 Technology
    • 5.4.4.4 Component
    • 5.4.4.5 Application
    • 5.4.4.6 End User
    • 5.4.4.7 Deployment
    • 5.4.4.8 Functionality
    • 5.4.4.9 Solutions
    • 5.4.4.10 Mode
  • 5.4.5 Australia
    • 5.4.5.1 Type
    • 5.4.5.2 Product
    • 5.4.5.3 Technology
    • 5.4.5.4 Component
    • 5.4.5.5 Application
    • 5.4.5.6 End User
    • 5.4.5.7 Deployment
    • 5.4.5.8 Functionality
    • 5.4.5.9 Solutions
    • 5.4.5.10 Mode
  • 5.4.6 Taiwan
    • 5.4.6.1 Type
    • 5.4.6.2 Product
    • 5.4.6.3 Technology
    • 5.4.6.4 Component
    • 5.4.6.5 Application
    • 5.4.6.6 End User
    • 5.4.6.7 Deployment
    • 5.4.6.8 Functionality
    • 5.4.6.9 Solutions
    • 5.4.6.10 Mode
  • 5.4.7 Rest of APAC
    • 5.4.7.1 Type
    • 5.4.7.2 Product
    • 5.4.7.3 Technology
    • 5.4.7.4 Component
    • 5.4.7.5 Application
    • 5.4.7.6 End User
    • 5.4.7.7 Deployment
    • 5.4.7.8 Functionality
    • 5.4.7.9 Solutions
    • 5.4.7.10 Mode
• 5.5 Europe Market Size (2020-2035)
  • 5.5.1 Germany
    • 5.5.1.1 Type
    • 5.5.1.2 Product
    • 5.5.1.3 Technology
    • 5.5.1.4 Component
    • 5.5.1.5 Application
    • 5.5.1.6 End User
    • 5.5.1.7 Deployment
    • 5.5.1.8 Functionality
    • 5.5.1.9 Solutions
    • 5.5.1.10 Mode
  • 5.5.2 France
    • 5.5.2.1 Type
    • 5.5.2.2 Product
    • 5.5.2.3 Technology
    • 5.5.2.4 Component
    • 5.5.2.5 Application
    • 5.5.2.6 End User
    • 5.5.2.7 Deployment
    • 5.5.2.8 Functionality
    • 5.5.2.9 Solutions
    • 5.5.2.10 Mode
  • 5.5.3 United Kingdom
    • 5.5.3.1 Type
    • 5.5.3.2 Product
    • 5.5.3.3 Technology
    • 5.5.3.4 Component
    • 5.5.3.5 Application
    • 5.5.3.6 End User
    • 5.5.3.7 Deployment
    • 5.5.3.8 Functionality
    • 5.5.3.9 Solutions
    • 5.5.3.10 Mode
  • 5.5.4 Spain
    • 5.5.4.1 Type
    • 5.5.4.2 Product
    • 5.5.4.3 Technology
    • 5.5.4.4 Component
    • 5.5.4.5 Application
    • 5.5.4.6 End User
    • 5.5.4.7 Deployment
    • 5.5.4.8 Functionality
    • 5.5.4.9 Solutions
    • 5.5.4.10 Mode
  • 5.5.5 Italy
    • 5.5.5.1 Type
    • 5.5.5.2 Product
    • 5.5.5.3 Technology
    • 5.5.5.4 Component
    • 5.5.5.5 Application
    • 5.5.5.6 End User
    • 5.5.5.7 Deployment
    • 5.5.5.8 Functionality
    • 5.5.5.9 Solutions
    • 5.5.5.10 Mode
  • 5.5.6 Rest of Europe
    • 5.5.6.1 Type
    • 5.5.6.2 Product
    • 5.5.6.3 Technology
    • 5.5.6.4 Component
    • 5.5.6.5 Application
    • 5.5.6.6 End User
    • 5.5.6.7 Deployment
    • 5.5.6.8 Functionality
    • 5.5.6.9 Solutions
    • 5.5.6.10 Mode
• 5.6 Middle East & Africa Market Size (2020-2035)
  • 5.6.1 Saudi Arabia
    • 5.6.1.1 Type
    • 5.6.1.2 Product
    • 5.6.1.3 Technology
    • 5.6.1.4 Component
    • 5.6.1.5 Application
    • 5.6.1.6 End User
    • 5.6.1.7 Deployment
    • 5.6.1.8 Functionality
    • 5.6.1.9 Solutions
    • 5.6.1.10 Mode
  • 5.6.2 United Arab Emirates
    • 5.6.2.1 Type
    • 5.6.2.2 Product
    • 5.6.2.3 Technology
    • 5.6.2.4 Component
    • 5.6.2.5 Application
    • 5.6.2.6 End User
    • 5.6.2.7 Deployment
    • 5.6.2.8 Functionality
    • 5.6.2.9 Solutions
    • 5.6.2.10 Mode
  • 5.6.3 South Africa
    • 5.6.3.1 Type
    • 5.6.3.2 Product
    • 5.6.3.3 Technology
    • 5.6.3.4 Component
    • 5.6.3.5 Application
    • 5.6.3.6 End User
    • 5.6.3.7 Deployment
    • 5.6.3.8 Functionality
    • 5.6.3.9 Solutions
    • 5.6.3.10 Mode
  • 5.6.4 Sub-Saharan Africa
    • 5.6.4.1 Type
    • 5.6.4.2 Product
    • 5.6.4.3 Technology
    • 5.6.4.4 Component
    • 5.6.4.5 Application
    • 5.6.4.6 End User
    • 5.6.4.7 Deployment
    • 5.6.4.8 Functionality
    • 5.6.4.9 Solutions
    • 5.6.4.10 Mode
  • 5.6.5 Rest of MEA
    • 5.6.5.1 Type
    • 5.6.5.2 Product
    • 5.6.5.3 Technology
    • 5.6.5.4 Component
    • 5.6.5.5 Application
    • 5.6.5.6 End User
    • 5.6.5.7 Deployment
    • 5.6.5.8 Functionality
    • 5.6.5.9 Solutions
    • 5.6.5.10 Mode

6 Market Strategy

• 6.1 Demand-Supply Gap Analysis
• 6.2 Trade & Logistics Constraints
• 6.3 Price-Cost-Margin Trends
• 6.4 Market Penetration
• 6.5 Consumer Analysis
• 6.6 Regulatory Snapshot

7 Competitive Intelligence

• 7.1 Market Positioning
• 7.2 Market Share
• 7.3 Competition Benchmarking
• 7.4 Top Company Strategies

8 Company Profiles

• 8.1 GE Healthcare
  • 8.1.1 Overview
  • 8.1.2 Product Summary
  • 8.1.3 Financial Performance
  • 8.1.4 SWOT Analysis
• 8.2 Hologic
  • 8.2.1 Overview
  • 8.2.2 Product Summary
  • 8.2.3 Financial Performance
  • 8.2.4 SWOT Analysis
• 8.3 Siemens Healthineers
  • 8.3.1 Overview
  • 8.3.2 Product Summary
  • 8.3.3 Financial Performance
  • 8.3.4 SWOT Analysis
• 8.4 Philips Healthcare
  • 8.4.1 Overview
  • 8.4.2 Product Summary
  • 8.4.3 Financial Performance
  • 8.4.4 SWOT Analysis
• 8.5 iCAD Inc
  • 8.5.1 Overview
  • 8.5.2 Product Summary
  • 8.5.3 Financial Performance
  • 8.5.4 SWOT Analysis
• 8.6 Canon Medical Systems
  • 8.6.1 Overview
  • 8.6.2 Product Summary
  • 8.6.3 Financial Performance
  • 8.6.4 SWOT Analysis
• 8.7 Agfa-Gevaert Group
  • 8.7.1 Overview
  • 8.7.2 Product Summary
  • 8.7.3 Financial Performance
  • 8.7.4 SWOT Analysis
• 8.8 Fujifilm Holdings Corporation
  • 8.8.1 Overview
  • 8.8.2 Product Summary
  • 8.8.3 Financial Performance
  • 8.8.4 SWOT Analysis
• 8.9 Zebra Medical Vision
  • 8.9.1 Overview
  • 8.9.2 Product Summary
  • 8.9.3 Financial Performance
  • 8.9.4 SWOT Analysis
• 8.10 NVIDIA Corporation
  • 8.10.1 Overview
  • 8.10.2 Product Summary
  • 8.10.3 Financial Performance
  • 8.10.4 SWOT Analysis
• 8.11 IBM Watson Health
  • 8.11.1 Overview
  • 8.11.2 Product Summary
  • 8.11.3 Financial Performance
  • 8.11.4 SWOT Analysis
• 8.12 Thermo Fisher Scientific
  • 8.12.1 Overview
  • 8.12.2 Product Summary
  • 8.12.3 Financial Performance
  • 8.12.4 SWOT Analysis
• 8.13 Varian Medical Systems
  • 8.13.1 Overview
  • 8.13.2 Product Summary
  • 8.13.3 Financial Performance
  • 8.13.4 SWOT Analysis
• 8.14 Hitachi Medical Systems
  • 8.14.1 Overview
  • 8.14.2 Product Summary
  • 8.14.3 Financial Performance
  • 8.14.4 SWOT Analysis
• 8.15 Esaote SpA
  • 8.15.1 Overview
  • 8.15.2 Product Summary
  • 8.15.3 Financial Performance
  • 8.15.4 SWOT Analysis
• 8.16 Carestream Health
  • 8.16.1 Overview
  • 8.16.2 Product Summary
  • 8.16.3 Financial Performance
  • 8.16.4 SWOT Analysis
• 8.17 Merge Healthcare
  • 8.17.1 Overview
  • 8.17.2 Product Summary
  • 8.17.3 Financial Performance
  • 8.17.4 SWOT Analysis
• 8.18 Riverain Technologies
  • 8.18.1 Overview
  • 8.18.2 Product Summary
  • 8.18.3 Financial Performance
  • 8.18.4 SWOT Analysis
• 8.19 ScreenPoint Medical
  • 8.19.1 Overview
  • 8.19.2 Product Summary
  • 8.19.3 Financial Performance
  • 8.19.4 SWOT Analysis
• 8.20 Qure.ai
  • 8.20.1 Overview
  • 8.20.2 Product Summary
  • 8.20.3 Financial Performance
  • 8.20.4 SWOT Analysis

9 About Us

• 9.1 About Us
• 9.2 Research Methodology
• 9.3 Research Workflow
• 9.4 Consulting Services
• 9.5 Our Clients
• 9.6 Client Testimonials
• 9.7 Contact Us