시장보고서
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세계의 의료 진단용 인공지능 시장 : 컴포넌트별(소프트웨어, 서비스), 전문별(방사선과, 심장, 신경과, 산과/부인과, 종양과), 모달리티별(MRI, CT, X선, 초음파), 최종사용자별 예측(-2029년)

Artificial Intelligence in Medical Diagnostics Market By Component (Software, Services), Specialty (Radiology, Cardiology, Neurology, Obstetrics/Gynecology, Oncology), Modality (MRI, CT, X-ray, Ultrasound), End User - Global Forecast to 2029

발행일: | 리서치사: Meticulous Market Research Pvt. Ltd. | 페이지 정보: 영문 186 Pages | 배송안내 : 즉시배송

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

세계의 의료 진단용 인공지능 시장 규모는 2022-2029년 36.2%의 CAGR로 성장하며, 2029년까지 93억 8,000만 달러에 달할 것으로 예측되고 있습니다. 시장의 성장을 지원하는 주요 요인으로는 진단 미스의 높은 비율, 전문의 부족의 심각화, 만성질환의 발생률 상승, 의료 진단용 인공지능의 도입 요구 증가 등을 들 수 있습니다. 한편, 의사가 신뢰성의 결여를 이유로 인공지능 기술의 채택에 소극적인 것 등이 시장의 성장을 억제할 가능성이 있습니다.

세계의 의료 진단용 인공지능 시장을 조사했으며, 시장의 개요, 시장 규모 및 예측, 동향, 촉진요인·억제요인, 경쟁 구도, 컴포넌트별·전문별·모달리티별·지역별 분석 및 기업 개요 등을 정리하여 전해드립니다.

목차

제1장 서론

  • 시장의 정의
  • 시장 에코시스템
  • 통화
  • 주요 이해관계자

제2장 조사 방법

  • 조사 프로세스
  • 데이터 수집과 검증
    • 2차 조사
    • 1차 조사
  • 시장 평가
    • 시장 규모 예측
  • 조사의 전제조건
  • 조사의 제한

제3장 주요 요약

제4장 시장 인사이트

  • 시장 개요
  • 촉진요인
    • 인공지능을 의료 진단에 포함할 필요성의 증가
    • 의료 종사자의 부족
    • 만성질환의 발생률 상승
  • 억제요인
    • 신뢰성의 결여에 의한 인공지능 기술의 채택에 대한 주저
  • 기회
    • 신흥 국가에서의 높은 가능성
    • 업계를 초월한 파트너십과 협업의 증가
  • 과제
    • 규제 장벽
    • 프라이버시와 보안에 관한 우려
  • COVID-19의 영향

제5장 세계의 의료 진단용 인공지능 시장 : 컴포넌트별

  • 서론
  • 소프트웨어
  • 서비스

제6장 세계의 의료 진단용 인공지능 시장 : 전문별

  • 서론
  • 뇌·신경과
  • 종양과
  • 심장·혈관
  • 흉부·폐
  • 산과·부인과(OB-GYN)
  • 기타

제7장 세계의 의료 진단용 인공지능 시장 : 모달리티별

  • 서론
  • CT 스캔
  • MRI
  • X선
  • 초음파
  • 기타

제8장 세계의 의료 진단용 인공지능 시장 : 최종사용자별

  • 서론
  • 병원
  • 영상 진단 센터
  • 기타

제9장 의료 진단용 인공지능 시장 : 지역별

  • 서론
  • 북미
    • 미국
    • 캐나다
  • 유럽
    • 독일
    • 영국
    • 프랑스
    • 이탈리아
    • 스페인
    • 기타 유럽
  • 아시아태평양
    • 중국
    • 일본
    • 인도
    • 기타 아시아태평양
  • 라틴아메리카
  • 중동·아프리카

제10장 경쟁 구도

  • 서론
  • 주요 성장 전략
  • 경쟁 벤치마킹

제11장 기업 개요

  • Siemens Healthineers AG
  • GE Healthcare
  • Aidoc Medical Ltd.
  • International Business Machines Corporation
  • AliveCor, Inc.
  • VUNO Inc.
  • Digital Diagnostics Inc.
  • NovaSignal Corporation
  • Riverain Technologies
  • NANO-X IMAGING LTD
  • Imagen Technologies
  • Koninklijke Philips N.V.
  • Arterys Inc.
  • HeartFlow, Inc.
  • Agfa Healthcare

제12장 부록

KSA 22.10.20

AI in Medical Diagnostics Market by Component (Software, Services), Specialty (Radiology, Cardiology, Neurology, Obstetrics/Gynecology, Oncology), Modality (MRI, CT, X-ray, Ultrasound), End User (Hospital, Diagnostic Center) - Global Forecast to 2029

The AI in medical diagnostics market is expected to reach $9.38 billion by 2029, at a CAGR of 36.2% from 2022-2029.

Following a comprehensive primary and secondary study and an in-depth analysis of the market scenario, this report provides the key drivers, constraints, challenges, and opportunities for the AI in medical diagnostics market. The growth of this market is driven by the rising need for the adoption of AI in medical diagnosis due to the high rate of diagnostic errors, the growing shortage of medical specialists, and the increasing prevalence of chronic diseases.

In addition, factors such as high growth potential in emerging economies and the growing number of cross-industry partnerships and collaborations are expected to provide significant growth opportunities for this market. However, the reluctance of physicians to adopt AI technologies due to a lack of trust is expected to hamper the adoption of AI in medical diagnostics solutions and restrain the growth of this market. In addition, factors such as regulatory barriers and privacy and security concerns are the major challenges to the growth of this market.

Based on component, in 2022, the software segment is expected to account for the largest share of the AI in medical diagnostics market. The large market share of this segment is attributed to the benefits offered by software, such as automating the diagnosis process & triaging patients at high risk and aiding medical specialists in making quick and accurate medical decisions.

Based on specialty, in 2022, the brain & neurological segment is expected to account for the largest share of the AI in medical diagnostics market. The increasing prevalence of neurological disorders and increasing product approvals are driving the growth of this segment.

Based on modality, in 2022, the CT scan segment is expected to account for the largest share of this market. The large market share of this segment is attributed to the increasing number of patients undertaking CT scan imaging for the diagnosis of COVID-19 and the advantages offered by AI in CT scanning, such as the ability to reduce noise in medical images and reduce radiation dose, making it safer for the patients.

Based on end user, in 2022, the hospital segment is expected to account for the largest share of this market. The large market share of this segment is attributed to the early adoption of AI solutions by hospitals due to their high spending capabilities, the increasing number of patients with chronic diseases, the outbreak of COVID-19 pandemic, and shortage of medical specialists.

An in-depth analysis of the geographical scenario of the AI in medical diagnostics market provides detailed qualitative and quantitative insights across five major geographies (North America, Europe, Asia-Pacific, the Middle East & Africa, and Latin America) along with the coverage of major countries in each region. In 2022, North America is poised to command the largest share of the AI in medical diagnostics market, followed by Europe, Asia-Pacific, Latin America, and the Middle East & Africa.

The key players operating in the AI in medical diagnostics market are Siemens Healthineers AG (Germany), GE Healthcare (U.S.), Aidoc Medical Ltd. (Israel), International Business Machines Corporation (U.S.), AliveCor, Inc. (U.S.), VUNO Inc. (South Korea), Digital Diagnostics Inc. (U.S.), NovaSignal Corp. (U.S.), Riverain Technologies (U.S.), NANO-X IMAGING LTD (Israel), Imagen Technologies (U.S.), Koninklijke Philips N.V. (Netherlands), Agfa-Gevaert Group (Belgium), HeartFlow, Inc. (U.S.), and Arterys Inc. (U.S.).

Scope of the Report:

AI in Medical Diagnostics Market, by Component

  • Software
  • Services

AI in Medical Diagnostics Market, by Specialty

  • Brain & Neurological
  • Oncology
  • Cardiac & Vascular
  • Chest & Lung
  • Obstetrics & Gynecology (OB-GYN)
  • Other Specialties

Note: Other specialties include ophthalmology, dermatology, surgical pathology, nephrology, dentistry, hepatology, orthopedics, and endocrinology.

AI in Medical Diagnostics Market, by Modality

  • MRI
  • CT Scan
  • X-ray
  • Ultrasound
  • Other Modalities

Note: Other modalities include ECG, PET scan, retinal optical imaging, and digital imaging

AI in Medical Diagnostics Market, by End User

  • Hospitals
  • Diagnostic Imaging Centers
  • Others End Users

Note: Other end users include clinics, ambulatory care centers, clinical research organizations, and academic research centers.

AI in Medical Diagnostics Market, by Geography

  • North America
  • U.S.
  • Canada
  • Europe
  • Germany
  • France
  • U.K.
  • Italy
  • Spain
  • Rest of Europe (RoE)
  • Asia Pacific
  • China
  • Japan
  • India
  • Rest of APAC (RoAPAC)
  • Latin America
  • Middle East & Africa

TABLE OF CONTENTS

1. Introduction

  • 1.1. Market Definition
  • 1.2. Market Ecosystem
  • 1.3. Currency
  • 1.4. Key Stakeholders

2. Research Methodology

  • 2.1. Research Process
  • 2.2. Data Collection & Validation
    • 2.2.1. Secondary Research
    • 2.2.2. Primary Research
  • 2.3. Market Assessment
    • 2.3.1. Market Size Estimation
      • 2.3.1.1. Bottom-up Approach
      • 2.3.1.2. Top-down Approach
      • 2.3.1.3. Growth Forecast
  • 2.4. Assumptions for the Study
  • 2.5. Limitations for the Study

3. Executive Summary

4. Market Insights

  • 4.1. Market Overview
  • 4.2. Drivers
    • 4.2.1. Growing Need to Incorporate AI into Medical Diagnosis
    • 4.2.2. Shortage of Healthcare Professionals
    • 4.2.3. Rising Incidence of Chronic Diseases
  • 4.3. Restraints
    • 4.3.1. Reluctance to Adopt AI Technologies due to a Lack of Trust
  • 4.4. Opportunities
    • 4.4.1. High Potential in Emerging Economies
    • 4.4.2. Growing Number of Cross-Industry Partnerships & Collaborations
  • 4.5. Challenges
    • 4.5.1. Regulatory Barriers
    • 4.5.2. Privacy & Security Concerns
  • 4.6. COVID-19 Impact

5. Global AI in Medical Diagnostics Market, by Component

  • 5.1. Introduction
  • 5.2. Software
  • 5.3. Services

6. Global AI in Medical Diagnostics Market, by Specialty

  • 6.1. Introduction
  • 6.2. Brain & Neurological
  • 6.3. Oncology
  • 6.4. Cardiac & Vascular
  • 6.5. Chest & Lung
  • 6.6. Obstetrics & Gynecology (OB-GYN)
  • 6.7. Other Specialties

7. Global AI in Medical Diagnostics Market, by Modality

  • 7.1. Introduction
  • 7.2. CT Scan
  • 7.3. MRI
  • 7.4. X-ray
  • 7.5. Ultrasound
  • 7.6. Other Modalities

8. Global AI in Medical Diagnostics Market, by End User

  • 8.1. Introduction
  • 8.2. Hospitals
  • 8.3. Diagnostic Imaging Centers
  • 8.4. Other End Users

9. Ai in Medical Diagnostics Market, by Geography

  • 9.1. Introduction
  • 9.2. North America
    • 9.2.1. U.S.
    • 9.2.2. Canada
  • 9.3. Europe
    • 9.3.1. Germany
    • 9.3.2. U.K.
    • 9.3.3. France
    • 9.3.4. Italy
    • 9.3.5. Spain
    • 9.3.6. Rest of Europe (RoE)
  • 9.4. Asia-Pacific
    • 9.4.1. China
    • 9.4.2. Japan
    • 9.4.3. India
    • 9.4.4. Rest of Asia-Pacific (RoAPAC)
  • 9.5. Latin America
  • 9.6. Middle East & Africa

10. Competitive Landscape

  • 10.1. Introduction
  • 10.2. Key Growth Strategies
  • 10.3. Competitive Benchmarking

11. Company Profiles

  • 11.1. Siemens Healthineers AG
  • 11.2. GE Healthcare (A Subsidiary of General Electric Company)
  • 11.3. Aidoc Medical Ltd.
  • 11.4. International Business Machines Corporation
  • 11.5. AliveCor, Inc.
  • 11.6. VUNO Inc.
  • 11.7. Digital Diagnostics Inc.
  • 11.8. NovaSignal Corporation
  • 11.9. Riverain Technologies
  • 11.10. NANO-X IMAGING LTD
  • 11.11. Imagen Technologies
  • 11.12. Koninklijke Philips N.V.
  • 11.13. Arterys Inc.
  • 11.14. HeartFlow, Inc.
  • 11.15. Agfa Healthcare (A Subsidiary of Agfa-Gevaert N.V.)

12. Appendix

  • 12.1. Questionnaire
  • 12.2. Available Customization
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