의료 영상 분석 소프트웨어 시장 규모 : 소프트웨어 유형별, 양식별, 영상 유형별, 용도별, 최종사용자별, 예측(2024-2032년)

Medical Image Analysis Software Market size is poised to grow at 7% CAGR between 2024 and 2032, attributed to the growing adoption of AI worldwide. AI algorithms in image analysis software help enhance diagnostic accuracy, automate image interpretation, and enable efficient data analysis. For instance, in December 2023, GE HealthCare launched a new AI-enabled MRI system for enabling high performance to bore the benchmark for patient comfort and highlight current AI and deep learning-driven technologies to assist quicker and more precise scans. Healthcare providers are leveraging such AI-powered software for advanced imaging modalities like MRI, CT, and ultrasound to improve disease detection and treatment planning. The ability of AI to detect subtle abnormalities, predict disease progression, and assist in personalized medicine is driving the market growth.

The medical image analysis software industry is segmented into software type, modality, imaging type, application, end-user, and region.

Based on software type, the market size from the standalone segment is anticipated to attain 7.3% CAGR from 2024-2032 owing to its flexibility and ease of use, allowing healthcare professionals to analyze medical images without relying on additional platforms or systems. Healthcare facilities are increasingly adopting standalone image analysis software for its versatility in various imaging modalities, such as MRI, CT, and X-ray. Additionally, advancements in software capabilities, such as AI-based image interpretation and 3D visualization will propel the segment growth.

In terms of application, the medical image analysis software market from the neurology segment is projected to witness 7.5% growth rate between 2024 and 2032. Advanced image analysis software plays a crucial role in the diagnosis and treatment planning of neurological disorders, such as brain tumors, Alzheimer's disease, and stroke. Neurology-focused software offers specialized tools for accurate brain mapping, lesion detection, and quantitative analysis of brain structures. The rising prevalence of neurological conditions and the increasing demand for precise diagnostic tools will also fuel the segment expansion.

Regionally, the Asia Pacific medical image analysis software market is set to exhibit 7.2% CAGR between 2024 and 2032 driven by the increasing healthcare infrastructure development and the rising demand for advanced medical imaging technologies across the region. Major countries like China, Japan, and India are investing heavily in healthcare IT solutions, driving the adoption of image analysis software. The growing prevalence of chronic diseases and the aging population are further boosting the demand for accurate diagnostic tools. Additionally, several companies and governments are taking initiatives to promote digitization in healthcare and drive the adoption of AI-based solutions in the region.

Table of Contents

Chapter 1 Methodology & Scope

• 1.1 Market scope & definitions
• 1.2 Base estimates & calculations
• 1.3 Data validation
• 1.4 Forecast parameters
• 1.5 Data sources
  • 1.5.1 Primary
  • 1.5.2 Secondary
    • 1.5.2.1 Paid sources
    • 1.5.2.2 Public 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 Escalating rates of chronic illnesses
    • 3.2.1.2 Rising numbers of geriatric population worldwide
    • 3.2.1.3 Increased demand for expedited result validation and enhanced diagnostic capabilities
    • 3.2.1.4 Expanding requests for non-invasive diagnostic solutions
    • 3.2.1.5 Increasing interest in telemedicine and remote healthcare provisions
    • 3.2.1.6 Growing advancement in imaging methodologies
  • 3.2.2 Industry pitfalls & challenges
    • 3.2.2.1 Integration complexity
    • 3.2.2.2 Data security and privacy concerns
• 3.3 Growth potential analysis
• 3.4 Regulatory landscape
• 3.5 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 Software Type, 2018 - 2032 ($ Million)

• 5.1 Key trends
• 5.2 Integrated
• 5.3 Standalone

Chapter 6 Market Estimates and Forecast, By Modality, 2018 - 2032 ($ Million)

• 6.1 Key trends
• 6.2 Tomography
  • 6.2.1 Computed tomography
    • 6.2.1.1 High-slice
    • 6.2.1.2 Mid-slice
    • 6.2.1.3 Low-slice
    • 6.2.1.4 Cone beam
  • 6.2.2 Magnetic resonance imaging
    • 6.2.2.1 Open system
    • 6.2.2.2 Closed system
  • 6.2.3 Positron emission tomography
  • 6.2.4 Single-photon emission tomography
• 6.3 Ultrasound imaging
  • 6.3.1 2D
  • 6.3.2 3D & 4D
  • 6.3.3 Doppler
• 6.4 Radiographic imaging
• 6.5 Combined modalities
  • 6.5.1 PET/MR
  • 6.5.2 SPECT/CT
  • 6.5.3 PET/CT

Chapter 7 Market Estimates and Forecast, By Imaging Type, 2018 - 2032 ($ Million)

• 7.1 Key trends
• 7.2 2D
• 7.3 3D
• 7.4 4D

Chapter 8 Market Estimates and Forecast, By Application, 2018 - 2032 ($ Million)

• 8.1 Key trends
• 8.2 Orthopedic
• 8.3 Dental
• 8.4 Neurology
• 8.5 Cardiology
• 8.6 Oncology
• 8.7 Obstetrics & gynecology
• 8.8 Mammography
• 8.9 Respiratory
• 8.10 Other applications

Chapter 9 Market Estimates and Forecast, By End-User, 2018 - 2032 ($ Million)

• 9.1 Key trends
• 9.2 Hospitals
• 9.3 Diagnostic centers
• 9.4 Ambulatory surgical centers
• 9.5 Other end-users

Chapter 10 Market Estimates and Forecast, By Region, 2018 - 2032 ($ Million)

• 10.1 Key trends, by region
• 10.2 North America
  • 10.2.1 U.S.
  • 10.2.2 Canada
• 10.3 Europe
  • 10.3.1 Germany
  • 10.3.2 UK
  • 10.3.3 France
  • 10.3.4 Spain
  • 10.3.5 Italy
  • 10.3.6 Rest of Europe
• 10.4 Asia Pacific
  • 10.4.1 Japan
  • 10.4.2 China
  • 10.4.3 India
  • 10.4.4 Australia
  • 10.4.5 Rest of Asia Pacific
• 10.5 Latin America
  • 10.5.1 Brazil
  • 10.5.2 Mexico
  • 10.5.3 Rest of Latin America
• 10.6 Middle East and Africa
  • 10.6.1 South Africa
  • 10.6.2 Saudi Arabia
  • 10.6.3 Rest of Middle East and Africa

Chapter 11 Company Profiles

• 11.1 Aidoc
• 11.2 CardioComm Solutions Inc.
• 11.3 Canon Medical Systems USA
• 11.4 eMedica, S.
• 11.5 Esaote SPA
• 11.6 Evident
• 11.7 GE HealthCare Technologies, Inc.
• 11.8 Koninklijke Philips N.V.,
• 11.9 Leica Microsystems
• 11.10 Medis Medical Imaging Systems
• 11.11 Siemens Healthineers AG
• 11.12 Spacelabs Healthcare
• 11.13 Thermo Fisher Scientific Inc.