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의료 진단용 인공지능(AI) 시장 : 시장 규모, 점유율, 성장 분석 - 컴퍼넌트별, 모달리티별, 용도별, 최종 용도별, 지역별 - 산업 예측(2025-2032년)

Artificial Intelligence In Medical Diagnostics Market Size, Share, Growth Analysis, By Component (Hardware, Software), By Modality (Imaging Modalities, Diagnostic Modalities), By Application, By End Use, By Region - Industry Forecast 2025-2032

발행일: | 리서치사: SkyQuest | 페이지 정보: 영문 157 Pages | 배송안내 : 3-5일 (영업일 기준)

    
    
    



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

세계의 의료 진단용 인공지능 시장 규모는 2023년 17억 달러로 평가되었고, 2024년 21억 달러에서 2032년 114억 4,000만 달러로 성장할 전망이며, 예측기간 2025년부터 2032년까지 CAGR 23.6%로 성장할 전망입니다.

의료 진단용 인공지능(AI) 시장은 정확한 진단에 대한 요구가 높아지고, 자격을 갖춘 건강관리 전문가 부족, 만성질환 유병률 증가 등을 배경으로 상당한 성장이 예상됩니다. AI 소프트웨어 및 서비스는 딥러닝과 고급 알고리즘을 활용하여 진단 프로세스를 강화하고, 중요한 질병을 확인함으로써 진단 실수를 줄이고 의료진의 부담을 완화시켜 줍니다. 시장의 확대는 신흥 국가의 미개척 가능성과 혁신과 효율성을 촉진하는 이업종간 파트너십의 급증에 의해 더욱 지원되고 있습니다. 헬스케어 시스템이 점점 AI 기술을 채택함에 따라 AI 구동형 진단 도구의 수요는 확대될 것으로 예상되어 의료기술 분야의 이해관계자들에게 큰 비즈니스 기회를 가져다 주고 있습니다.

목차

서문

  • 조사의 목적
  • 조사 범위
  • 정의

조사 방법

  • 정보 조달
  • 2차 데이터 및 1차 데이터의 방법
  • 시장 규모 예측
  • 시장의 전제조건 및 제한

주요 요약

  • 세계 시장 전망
  • 공급과 수요 동향 분석
  • 부문별 기회 분석

시장 역학 및 전망

  • 시장 개요
  • 시장 규모
  • 시장 역학
    • 성장 촉진요인 및 기회
    • 성장 억제요인 및 과제
  • Porter's Five Forces 분석

주요 시장 인사이트

  • 중요성공요인
  • 경쟁도
  • 주요 투자 기회
  • 시장 생태계
  • 시장의 매력 지수(2024년)
  • PESTEL 분석
  • 거시경제지표
  • 밸류체인 분석
  • 가격 분석

의료 진단용 인공지능(AI) 시장 규모 : 컴포넌트별

  • 시장 개요
  • 하드웨어
    • 프로세서
    • 마이크로프로세서
    • 그래픽 프로세서
    • 프로그래머블 로직
    • 에이직
    • 메모리
    • 네트워크
  • 소프트웨어
    • 이미징 소프트웨어
    • 예측 분석 소프트웨어
    • 진단 소프트웨어
  • 서비스

의료 진단용 인공지능(AI) 시장 규모 : 모달리티별

  • 시장 개요
  • 화상 진단 장치
    • 컴퓨터 단층 촬영
    • X선
    • 자기 공명 영상(MRI)
    • 초음파
    • 유방 조영
    • 기타
  • 진단 방법
    • 면역 측정
    • 임상 화학
    • 혈액학
    • 미생물학
    • 기타

의료 진단용 인공지능(AI) 시장 규모 : 용도별

  • 시장 개요
  • 생체내 진단
    • 방사선과
    • 종양학
    • 심장병학
    • 신경학
    • 부인과
    • 안과
    • 기타
  • 체외 진단
    • 감염증
    • 내분비학
    • 자가면역검사
    • 혈액검사와 응고검사
    • 기타

의료 진단용 인공지능(AI) 시장 규모 : 최종 용도별

  • 시장 개요
  • 병원
  • 화상 진단센터
  • 진단 실험실
  • 기타

의료 진단용 인공지능(AI) 시장 규모 : 지역별

  • 북미
    • 미국
    • 캐나다
  • 유럽
    • 독일
    • 스페인
    • 프랑스
    • 영국
    • 이탈리아
    • 기타 유럽
  • 아시아태평양
    • 중국
    • 인도
    • 일본
    • 한국
    • 기타 아시아태평양
  • 라틴아메리카
    • 브라질
    • 기타 라틴아메리카
  • 중동 및 아프리카
    • GCC 국가
    • 남아프리카
    • 기타 중동 및 아프리카

경쟁 정보

  • 상위 5개사 비교
  • 주요 기업의 시장 포지셔닝(2024년)
  • 주요 시장 기업이 채용한 전략
  • 시장의 최근 동향
  • 기업의 시장 점유율 분석(2024년)
  • 주요 기업의 기업 프로파일
    • 기업 개요
    • 제품 포트폴리오 분석
    • 부문별 점유율 분석
    • 수익의 전년 대비 비교(2022-2024년)

주요 기업 프로파일

  • IBM Corporation(US)
  • Google(US)
  • Microsoft(US)
  • Intel Corporation(US)
  • NVIDIA Corporation(US)
  • Siemens Healthineers AG(Germany)
  • GE Healthcare(US)
  • Philips(Netherlands)
  • Aidoc(Israel)
  • Enlitic, Inc.(US)
  • HeartFlow, Inc.(US)
  • Imagen Technologies(US)
  • Lunit Inc.(South Korea)
  • Qure.ai(India)
  • Zebra Medical Vision(Israel)
  • Paige.AI(US)
  • icometrix(Belgium)

결론 및 권장사항

AJY 25.01.22

Global Artificial Intelligence In Medical Diagnostics Market size was valued at USD 1.7 billion in 2023 and is poised to grow from USD 2.10 billion in 2024 to USD 11.44 billion by 2032, growing at a CAGR of 23.6% during the forecast period (2025-2032).

The market for artificial intelligence (AI) in medical diagnostics is poised for substantial growth, driven by the rising need for accurate diagnoses, a shortage of qualified healthcare professionals, and the increasing prevalence of chronic diseases. AI software and services enhance diagnostic processes by leveraging deep learning and advanced algorithms to identify critical disorders, thereby reducing diagnostic errors and alleviating the burden on medical staff. The market's expansion is further supported by the untapped potential in emerging economies and a surge in cross-industry partnerships that foster innovation and efficiency. As healthcare systems increasingly adopt AI technologies, the demand for AI-driven diagnostic tools is expected to grow, presenting significant opportunities for stakeholders in the medical technology sector.

Top-down and bottom-up approaches were used to estimate and validate the size of the Global Artificial Intelligence In Medical Diagnostics market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.

Global Artificial Intelligence In Medical Diagnostics Market Segmental Analysis

Global Artificial Intelligence In Medical Diagnostics Market is segmented by component, modality, application, end use and region. Based on component, the market is segmented into hardware, software and services. Based on modality, the market is segmented into imaging modalities and diagnostic modalities. Based on application, the market is segmented into in vivo diagnostics and in vitro diagnostics. Based on end use, the market is segmented into hospitals, diagnostic imaging centers, diagnostic laboratories and others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.

Driver of the Global Artificial Intelligence In Medical Diagnostics Market

The Global Artificial Intelligence in Medical Diagnostics market is significantly driven by the increasing integration of Big Data into healthcare. As digitization and advanced information systems become commonplace, a vast array of complex data is generated throughout the care delivery process. This includes diverse sources such as medical device readings, patient interactions on digital platforms, and biometric records. The past decade has seen remarkable advancements in Big Data analytics, fueled by widespread adoption of electronic health records, digitized laboratory slides, and high-resolution imaging. Furthermore, the rise of bidirectional patient portals, enabling patients to contribute data to their electronic medical records, is set to enhance the data volume in medical diagnostics, thereby intensifying the need for AI-based solutions to efficiently manage these growing data streams.

Restraints in the Global Artificial Intelligence In Medical Diagnostics Market

The Global Artificial Intelligence in Medical Diagnostics market faces a notable restraint due to the skepticism surrounding AI accuracy among medical professionals. Despite advancements in digital health that equip doctors with innovative tools for patient care, many practitioners remain hesitant to embrace these technologies. A prevailing concern is the misconception that AI could replace physicians, undermining vital human skills such as empathy and persuasion. This hesitation is compounded by fears of patients becoming overly dependent on technology, potentially neglecting essential in-person care and disrupting established doctor-patient relationships. As a result, convincing healthcare providers of the safety, efficacy, and cost-effectiveness of AI solutions becomes a challenge. Nonetheless, as awareness of the benefits of AI in medical diagnostics grows, it is likely that acceptance of these technologies will increase among doctors and radiologists in the future.

Market Trends of the Global Artificial Intelligence In Medical Diagnostics Market

The Global Artificial Intelligence in Medical Diagnostics market is witnessing a significant upward trend as developers strive to create more human-aware AI systems that align closely with human cognitive processes. Despite facing challenges in building interactive, scalable machines and automating complex components, the increasing demand for advanced diagnostic tools drives innovation. The need for efficient interpretation and presentation of machine-learning outcomes fuels ongoing research, focusing on enhancing user experience and feedback mechanisms. Moreover, as healthcare providers seek improvements in diagnostic accuracy and operational efficiency, the market for AI-powered solutions is poised for substantial growth, presenting lucrative opportunities for developers and stakeholders alike.

Table of Contents

Introduction

  • Objectives of the Study
  • Scope of the Report
  • Definitions

Research Methodology

  • Information Procurement
  • Secondary & Primary Data Methods
  • Market Size Estimation
  • Market Assumptions & Limitations

Executive Summary

  • Global Market Outlook
  • Supply & Demand Trend Analysis
  • Segmental Opportunity Analysis

Market Dynamics & Outlook

  • Market Overview
  • Market Size
  • Market Dynamics
    • Drivers & Opportunities
    • Restraints & Challenges
  • Porters Analysis
    • Competitive rivalry
    • Threat of substitute
    • Bargaining power of buyers
    • Threat of new entrants
    • Bargaining power of suppliers

Key Market Insights

  • Key Success Factors
  • Degree of Competition
  • Top Investment Pockets
  • Market Ecosystem
  • Market Attractiveness Index, 2024
  • PESTEL Analysis
  • Macro-Economic Indicators
  • Value Chain Analysis
  • Pricing Analysis

Global Artificial Intelligence In Medical Diagnostics Market Size by Component & CAGR (2025-2032)

  • Market Overview
  • Hardware
    • Processors
    • MPU
    • GPU
    • FPGA
    • ASIC
    • Memory
    • Networks
  • Software
    • Imaging Software
    • Predictive Analysis Software
    • Diagnostic Software
  • Services

Global Artificial Intelligence In Medical Diagnostics Market Size by Modality & CAGR (2025-2032)

  • Market Overview
  • Imaging Modalities
    • Computed Tomography
    • X-Ray
    • Magnetic Resonance Imaging (MRI)
    • Ultrasound
    • Mammography
    • Others
  • Diagnostic Modalities
    • Immunoassay
    • Clinical Chemistry
    • Hematology
    • Microbiology
    • Others

Global Artificial Intelligence In Medical Diagnostics Market Size by Application & CAGR (2025-2032)

  • Market Overview
  • In Vivo Diagnostics
    • Radiology
    • Oncology
    • Cardiology
    • Neurology
    • Gynecology
    • Ophthalmology
    • Others
  • In Vitro Diagnostics
    • Infectious Diseases
    • Endocrinology
    • Autoimmune Testing
    • Blood Screening And Coagulation Testing
    • Others

Global Artificial Intelligence In Medical Diagnostics Market Size by End Use & CAGR (2025-2032)

  • Market Overview
  • Hospitals
  • Diagnostic Imaging Centers
  • Diagnostic Laboratories
  • Others

Global Artificial Intelligence In Medical Diagnostics Market Size & CAGR (2025-2032)

  • North America (Component, Modality, Application, End Use)
    • US
    • Canada
  • Europe (Component, Modality, Application, End Use)
    • Germany
    • Spain
    • France
    • UK
    • Italy
    • Rest of Europe
  • Asia Pacific (Component, Modality, Application, End Use)
    • China
    • India
    • Japan
    • South Korea
    • Rest of Asia-Pacific
  • Latin America (Component, Modality, Application, End Use)
    • Brazil
    • Rest of Latin America
  • Middle East & Africa (Component, Modality, Application, End Use)
    • GCC Countries
    • South Africa
    • Rest of Middle East & Africa

Competitive Intelligence

  • Top 5 Player Comparison
  • Market Positioning of Key Players, 2024
  • Strategies Adopted by Key Market Players
  • Recent Developments in the Market
  • Company Market Share Analysis, 2024
  • Company Profiles of All Key Players
    • Company Details
    • Product Portfolio Analysis
    • Company's Segmental Share Analysis
    • Revenue Y-O-Y Comparison (2022-2024)

Key Company Profiles

  • IBM Corporation (US)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Google (US)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Microsoft (US)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Intel Corporation (US)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • NVIDIA Corporation (US)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Siemens Healthineers AG (Germany)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • GE Healthcare (US)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Philips (Netherlands)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Aidoc (Israel)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Enlitic, Inc. (US)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • HeartFlow, Inc. (US)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Imagen Technologies (US)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Lunit Inc. (South Korea)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Qure.ai (India)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Zebra Medical Vision (Israel)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Paige.AI (US)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • icometrix (Belgium)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments

Conclusion & Recommendations

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