시장보고서
상품코드
1878962

의료용 빅데이터 시장 : 세계 산업 규모, 점유율, 동향, 기회 및 예측 - 컴포넌트별, 용도별, 최종사용자별, 지역별 세분화 및 경쟁 구도(2020-2030년)

Big Data in Healthcare Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented By Component, By Application, By End User, By Region and Competition, 2020-2030F

발행일: | 리서치사: TechSci Research | 페이지 정보: 영문 188 Pages | 배송안내 : 2-3일 (영업일 기준)

    
    
    




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

세계의 의료용 빅데이터 시장은 2024년에 275억 6,000만 달러로 평가되었고, 2030년까지 연평균 복합 성장률(CAGR) 18.39%로 성장하여 758억 9,000만 달러에 이를 것으로 예측됩니다.

의료용 빅데이터는 전자건강기록, 유전체 정보, 실시간 환자 모니터링 등 광범위하고 다양한 데이터 세트를 체계적으로 수집, 분석, 해석하여 건강 상태 개선에 도움이 되는 실용적인 지식을 도출하는 것을 말합니다. 시장의 성장은 주로 디지털화된 환자 정보의 양이 증가하고, 임상적 판단의 정확성을 향상시켜야 한다는 점, 그리고 업무 효율성 최적화 및 의료비 절감에 대한 지속적인 압력에 의해 주도되고 있습니다.

시장 개요
예측 기간 2026-2030년
시장 규모 : 2024년 275억 6,000만 달러
시장 규모 : 2030년 758억 9,000만 달러
CAGR : 2025-2030년 18.39%
성장 속도가 가장 빠른 부문 소프트웨어
최대 시장 북미

주요 시장 성장 촉진요인

주요 시장 과제

주요 시장 동향

자주 묻는 질문

  • 2024년과 2030년의 의료용 빅데이터 시장 규모는 어떻게 되나요?
  • 의료용 빅데이터 시장의 성장 속도가 가장 빠른 부문은 무엇인가요?
  • 의료용 빅데이터 시장의 최대 시장은 어디인가요?
  • 의료용 빅데이터 시장의 주요 성장 촉진 요인은 무엇인가요?

목차

제1장 개요

제2장 조사 방법

제3장 주요 요약

제4장 고객의 소리

제5장 세계의 의료용 빅데이터 시장 전망

  • 시장 규모와 예측
    • 금액별
  • 시장 점유율과 예측
    • 컴포넌트별(하드웨어, 소프트웨어, 분석 서비스)
    • 용도별(재무 분석, 임상 분석, 업무 분석, 집단 건강 분석)
    • 최종사용자별(병원 및 진료소, 학술기관 및 연구기관, 기타)
    • 지역별
    • 기업별(2024년)
  • 시장 맵

제6장 북미의 의료용 빅데이터 시장 전망

  • 시장 규모와 예측
  • 시장 점유율과 예측
  • 북미 : 국가별 분석
    • 미국
    • 캐나다
    • 멕시코

제7장 유럽의 의료용 빅데이터 시장 전망

  • 시장 규모와 예측
  • 시장 점유율과 예측
  • 유럽 : 국가별 분석
    • 독일
    • 프랑스
    • 영국
    • 이탈리아
    • 스페인

제8장 아시아태평양의 의료용 빅데이터 시장 전망

  • 시장 규모와 예측
  • 시장 점유율과 예측
  • 아시아태평양 : 국가별 분석
    • 중국
    • 인도
    • 일본
    • 한국
    • 호주

제9장 중동 및 아프리카의 의료용 빅데이터 시장 전망

  • 시장 규모와 예측
  • 시장 점유율과 예측
  • 중동 및 아프리카 : 국가별 분석
    • 사우디아라비아
    • 아랍에미리트(UAE)
    • 남아프리카공화국

제10장 남미의 의료용 빅데이터 시장 전망

  • 시장 규모와 예측
  • 시장 점유율과 예측
  • 남미 : 국가별 분석
    • 브라질
    • 콜롬비아
    • 아르헨티나

제11장 시장 역학

  • 성장 촉진요인
  • 과제

제12장 시장 동향과 발전

  • 인수합병(M&A)
  • 제품 출시
  • 최근 동향

제13장 세계의 의료용 빅데이터 시장 : SWOT 분석

제14장 Porter의 Five Forces 분석

  • 업계내 경쟁
  • 신규 참여 가능성
  • 공급업체의 힘
  • 고객의 힘
  • 대체품의 위협

제15장 경쟁 구도

  • GE HealthCare Technologies, Inc
  • IBM Corporation
  • McKesson Corporation
  • MedeAnalytics, Inc.
  • Oracle Corporation
  • Premier, Inc.
  • Koninklijke Philips N.V.
  • Siemens Healthineers AG
  • Tableau Software, Inc.
  • Optum Inc.

제16장 전략적 제안

제17장 회사 소개 및 면책조항

LSH

The Global Big Data in Healthcare Market , valued at USD 27.56 Billion in 2024, is projected to experience a CAGR of 18.39% to reach USD 75.89 Billion by 2030. Big Data in Healthcare refers to the systematic collection, analysis, and interpretation of extensive and diverse datasets, including electronic health records, genomic information, and real-time patient monitoring, to derive actionable insights for improved health outcomes. The market's growth is primarily driven by the escalating volume of digitized patient information, the imperative for enhanced clinical decision-making, and persistent pressures to optimize operational efficiencies and reduce healthcare costs

Market Overview
Forecast Period2026-2030
Market Size 2024USD 27.56 Billion
Market Size 2030USD 75.89 Billion
CAGR 2025-203018.39%
Fastest Growing SegmentSoftware
Largest MarketNorth America

Key Market Drivers

The explosive growth in healthcare data volume stands as a foundational driver for the Global Big Data in Healthcare Market. This surge originates from diverse sources including electronic health records, diagnostic imaging, genomic sequencing, and patient-generated data from wearables. The sheer scale of this information necessitates advanced solutions for storage, processing, and analysis, as its embedded value remains largely untapped without effective big data frameworks. According to the World Health Organization, global health data generation reached 2.314 exabytes in 2023, with projections indicating a threefold increase by 2030, underscoring the urgent requirement for robust infrastructure to manage and leverage this expanding digital footprint. This continuous accumulation of health-related information fuels the demand for sophisticated big data technologies.

Key Market Challenges

A significant challenging factor impeding the expansion of the Global Big Data in Healthcare Market is the persistent issue of data interoperability across disparate healthcare systems and platforms. This challenge directly obstructs the seamless exchange of patient information, preventing the comprehensive analysis necessary to derive actionable insights. When healthcare organizations cannot effectively share and integrate diverse datasets, the utility of big data analytics is substantially diminished.

The lack of standardized data formats and communication protocols between various electronic health records, diagnostic systems, and real-time monitoring devices creates extensive data silos. These isolated data repositories lead to fragmented patient profiles, making it difficult for providers to gain a holistic view of an individual's health status or to identify broader population health trends. This directly hampers the market's growth by undermining the potential for advanced analytics to support personalized medicine and effective population health management.

Key Market Trends

The increased adoption of cloud-based big data platforms represents a fundamental shift in healthcare infrastructure, offering scalable and flexible management for vast data volumes. These platforms deliver essential computational power and storage for real-time access, sharing, and analysis, crucial for operational efficiency and supporting advanced applications like telemedicine. According to an analytical study by HIMSS, over 83% of healthcare organizations were utilizing cloud services in a report published in June 2024, indicating substantial industry integration. This enables efficient leveraging of complex datasets and enhanced service delivery. For instance, Oracle announced in March 2024 that it had migrated the majority of its Cerner customers to the cloud, aiming for cost efficiencies and enhanced data security.

Key Market Players

  • GE HealthCare Technologies, Inc
  • IBM Corporation
  • McKesson Corporation
  • MedeAnalytics, Inc.
  • Oracle Corporation
  • Premier, Inc.
  • Koninklijke Philips N.V.
  • Siemens Healthineers AG
  • Tableau Software, Inc.
  • Optum Inc.

Report Scope:

In this report, the Global Big Data in Healthcare Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

Big Data in Healthcare Market , By Component:

  • Hardware
  • Software
  • Analytics Services

Big Data in Healthcare Market , By Application:

  • Financial Analytics
  • Clinical Analytics
  • Operational Analytics
  • Population Health Analytics

Big Data in Healthcare Market , By End User:

  • Hospitals & Clinics
  • Academic & Research Organizations
  • Others

Big Data in Healthcare Market , By Region:

  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • France
    • United Kingdom
    • Italy
    • Germany
    • Spain
  • Asia Pacific
    • China
    • India
    • Japan
    • Australia
    • South Korea
  • South America
    • Brazil
    • Argentina
    • Colombia
  • Middle East & Africa
    • South Africa
    • Saudi Arabia
    • UAE

Competitive Landscape

Company Profiles: Detailed analysis of the major companies presents in the Global Big Data in Healthcare Market .

Available Customizations:

Global Big Data in Healthcare Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

  • Detailed analysis and profiling of additional market players (up to five).

Table of Contents

1. Product Overview

  • 1.1. Market Definition
  • 1.2. Scope of the Market
    • 1.2.1. Markets Covered
    • 1.2.2. Years Considered for Study
    • 1.2.3. Key Market Segmentations

2. Research Methodology

  • 2.1. Objective of the Study
  • 2.2. Baseline Methodology
  • 2.3. Key Industry Partners
  • 2.4. Major Association and Secondary Sources
  • 2.5. Forecasting Methodology
  • 2.6. Data Triangulation & Validation
  • 2.7. Assumptions and Limitations

3. Executive Summary

  • 3.1. Overview of the Market
  • 3.2. Overview of Key Market Segmentations
  • 3.3. Overview of Key Market Players
  • 3.4. Overview of Key Regions/Countries
  • 3.5. Overview of Market Drivers, Challenges, Trends

4. Voice of Customer

5. Global Big Data in Healthcare Market Outlook

  • 5.1. Market Size & Forecast
    • 5.1.1. By Value
  • 5.2. Market Share & Forecast
    • 5.2.1. By Component (Hardware, Software, Analytics Services)
    • 5.2.2. By Application (Financial Analytics, Clinical Analytics, Operational Analytics, Population Health Analytics)
    • 5.2.3. By End User (Hospitals & Clinics, Academic & Research Organizations, Others)
    • 5.2.4. By Region
    • 5.2.5. By Company (2024)
  • 5.3. Market Map

6. North America Big Data in Healthcare Market Outlook

  • 6.1. Market Size & Forecast
    • 6.1.1. By Value
  • 6.2. Market Share & Forecast
    • 6.2.1. By Component
    • 6.2.2. By Application
    • 6.2.3. By End User
    • 6.2.4. By Country
  • 6.3. North America: Country Analysis
    • 6.3.1. United States Big Data in Healthcare Market Outlook
      • 6.3.1.1. Market Size & Forecast
        • 6.3.1.1.1. By Value
      • 6.3.1.2. Market Share & Forecast
        • 6.3.1.2.1. By Component
        • 6.3.1.2.2. By Application
        • 6.3.1.2.3. By End User
    • 6.3.2. Canada Big Data in Healthcare Market Outlook
      • 6.3.2.1. Market Size & Forecast
        • 6.3.2.1.1. By Value
      • 6.3.2.2. Market Share & Forecast
        • 6.3.2.2.1. By Component
        • 6.3.2.2.2. By Application
        • 6.3.2.2.3. By End User
    • 6.3.3. Mexico Big Data in Healthcare Market Outlook
      • 6.3.3.1. Market Size & Forecast
        • 6.3.3.1.1. By Value
      • 6.3.3.2. Market Share & Forecast
        • 6.3.3.2.1. By Component
        • 6.3.3.2.2. By Application
        • 6.3.3.2.3. By End User

7. Europe Big Data in Healthcare Market Outlook

  • 7.1. Market Size & Forecast
    • 7.1.1. By Value
  • 7.2. Market Share & Forecast
    • 7.2.1. By Component
    • 7.2.2. By Application
    • 7.2.3. By End User
    • 7.2.4. By Country
  • 7.3. Europe: Country Analysis
    • 7.3.1. Germany Big Data in Healthcare Market Outlook
      • 7.3.1.1. Market Size & Forecast
        • 7.3.1.1.1. By Value
      • 7.3.1.2. Market Share & Forecast
        • 7.3.1.2.1. By Component
        • 7.3.1.2.2. By Application
        • 7.3.1.2.3. By End User
    • 7.3.2. France Big Data in Healthcare Market Outlook
      • 7.3.2.1. Market Size & Forecast
        • 7.3.2.1.1. By Value
      • 7.3.2.2. Market Share & Forecast
        • 7.3.2.2.1. By Component
        • 7.3.2.2.2. By Application
        • 7.3.2.2.3. By End User
    • 7.3.3. United Kingdom Big Data in Healthcare Market Outlook
      • 7.3.3.1. Market Size & Forecast
        • 7.3.3.1.1. By Value
      • 7.3.3.2. Market Share & Forecast
        • 7.3.3.2.1. By Component
        • 7.3.3.2.2. By Application
        • 7.3.3.2.3. By End User
    • 7.3.4. Italy Big Data in Healthcare Market Outlook
      • 7.3.4.1. Market Size & Forecast
        • 7.3.4.1.1. By Value
      • 7.3.4.2. Market Share & Forecast
        • 7.3.4.2.1. By Component
        • 7.3.4.2.2. By Application
        • 7.3.4.2.3. By End User
    • 7.3.5. Spain Big Data in Healthcare Market Outlook
      • 7.3.5.1. Market Size & Forecast
        • 7.3.5.1.1. By Value
      • 7.3.5.2. Market Share & Forecast
        • 7.3.5.2.1. By Component
        • 7.3.5.2.2. By Application
        • 7.3.5.2.3. By End User

8. Asia Pacific Big Data in Healthcare Market Outlook

  • 8.1. Market Size & Forecast
    • 8.1.1. By Value
  • 8.2. Market Share & Forecast
    • 8.2.1. By Component
    • 8.2.2. By Application
    • 8.2.3. By End User
    • 8.2.4. By Country
  • 8.3. Asia Pacific: Country Analysis
    • 8.3.1. China Big Data in Healthcare Market Outlook
      • 8.3.1.1. Market Size & Forecast
        • 8.3.1.1.1. By Value
      • 8.3.1.2. Market Share & Forecast
        • 8.3.1.2.1. By Component
        • 8.3.1.2.2. By Application
        • 8.3.1.2.3. By End User
    • 8.3.2. India Big Data in Healthcare Market Outlook
      • 8.3.2.1. Market Size & Forecast
        • 8.3.2.1.1. By Value
      • 8.3.2.2. Market Share & Forecast
        • 8.3.2.2.1. By Component
        • 8.3.2.2.2. By Application
        • 8.3.2.2.3. By End User
    • 8.3.3. Japan Big Data in Healthcare Market Outlook
      • 8.3.3.1. Market Size & Forecast
        • 8.3.3.1.1. By Value
      • 8.3.3.2. Market Share & Forecast
        • 8.3.3.2.1. By Component
        • 8.3.3.2.2. By Application
        • 8.3.3.2.3. By End User
    • 8.3.4. South Korea Big Data in Healthcare Market Outlook
      • 8.3.4.1. Market Size & Forecast
        • 8.3.4.1.1. By Value
      • 8.3.4.2. Market Share & Forecast
        • 8.3.4.2.1. By Component
        • 8.3.4.2.2. By Application
        • 8.3.4.2.3. By End User
    • 8.3.5. Australia Big Data in Healthcare Market Outlook
      • 8.3.5.1. Market Size & Forecast
        • 8.3.5.1.1. By Value
      • 8.3.5.2. Market Share & Forecast
        • 8.3.5.2.1. By Component
        • 8.3.5.2.2. By Application
        • 8.3.5.2.3. By End User

9. Middle East & Africa Big Data in Healthcare Market Outlook

  • 9.1. Market Size & Forecast
    • 9.1.1. By Value
  • 9.2. Market Share & Forecast
    • 9.2.1. By Component
    • 9.2.2. By Application
    • 9.2.3. By End User
    • 9.2.4. By Country
  • 9.3. Middle East & Africa: Country Analysis
    • 9.3.1. Saudi Arabia Big Data in Healthcare Market Outlook
      • 9.3.1.1. Market Size & Forecast
        • 9.3.1.1.1. By Value
      • 9.3.1.2. Market Share & Forecast
        • 9.3.1.2.1. By Component
        • 9.3.1.2.2. By Application
        • 9.3.1.2.3. By End User
    • 9.3.2. UAE Big Data in Healthcare Market Outlook
      • 9.3.2.1. Market Size & Forecast
        • 9.3.2.1.1. By Value
      • 9.3.2.2. Market Share & Forecast
        • 9.3.2.2.1. By Component
        • 9.3.2.2.2. By Application
        • 9.3.2.2.3. By End User
    • 9.3.3. South Africa Big Data in Healthcare Market Outlook
      • 9.3.3.1. Market Size & Forecast
        • 9.3.3.1.1. By Value
      • 9.3.3.2. Market Share & Forecast
        • 9.3.3.2.1. By Component
        • 9.3.3.2.2. By Application
        • 9.3.3.2.3. By End User

10. South America Big Data in Healthcare Market Outlook

  • 10.1. Market Size & Forecast
    • 10.1.1. By Value
  • 10.2. Market Share & Forecast
    • 10.2.1. By Component
    • 10.2.2. By Application
    • 10.2.3. By End User
    • 10.2.4. By Country
  • 10.3. South America: Country Analysis
    • 10.3.1. Brazil Big Data in Healthcare Market Outlook
      • 10.3.1.1. Market Size & Forecast
        • 10.3.1.1.1. By Value
      • 10.3.1.2. Market Share & Forecast
        • 10.3.1.2.1. By Component
        • 10.3.1.2.2. By Application
        • 10.3.1.2.3. By End User
    • 10.3.2. Colombia Big Data in Healthcare Market Outlook
      • 10.3.2.1. Market Size & Forecast
        • 10.3.2.1.1. By Value
      • 10.3.2.2. Market Share & Forecast
        • 10.3.2.2.1. By Component
        • 10.3.2.2.2. By Application
        • 10.3.2.2.3. By End User
    • 10.3.3. Argentina Big Data in Healthcare Market Outlook
      • 10.3.3.1. Market Size & Forecast
        • 10.3.3.1.1. By Value
      • 10.3.3.2. Market Share & Forecast
        • 10.3.3.2.1. By Component
        • 10.3.3.2.2. By Application
        • 10.3.3.2.3. By End User

11. Market Dynamics

  • 11.1. Drivers
  • 11.2. Challenges

12. Market Trends & Developments

  • 12.1. Merger & Acquisition (If Any)
  • 12.2. Product Launches (If Any)
  • 12.3. Recent Developments

13. Global Big Data in Healthcare Market : SWOT Analysis

14. Porter's Five Forces Analysis

  • 14.1. Competition in the Industry
  • 14.2. Potential of New Entrants
  • 14.3. Power of Suppliers
  • 14.4. Power of Customers
  • 14.5. Threat of Substitute Products

15. Competitive Landscape

  • 15.1. GE HealthCare Technologies, Inc
    • 15.1.1. Business Overview
    • 15.1.2. Products & Services
    • 15.1.3. Recent Developments
    • 15.1.4. Key Personnel
    • 15.1.5. SWOT Analysis
  • 15.2. IBM Corporation
  • 15.3. McKesson Corporation
  • 15.4. MedeAnalytics, Inc.
  • 15.5. Oracle Corporation
  • 15.6. Premier, Inc.
  • 15.7. Koninklijke Philips N.V.
  • 15.8. Siemens Healthineers AG
  • 15.9. Tableau Software, Inc.
  • 15.10. Optum Inc.

16. Strategic Recommendations

17. About Us & Disclaimer

샘플 요청 목록
0 건의 상품을 선택 중
목록 보기
전체삭제