의료용 예측 분석 시장 규모, 점유율, 성장 분석 : 제품별, 도입 방식별, 용도별, 최종사용자별, 지역별 - 산업 예측(2024-2031년)
Healthcare Predictive Analytics Market Size, Share, Growth Analysis, By Product (Hardware, Software), Deployment Mode (On-Premises, Cloud-Based), By Application, By End User, By Region - Industry Forecast 2024-2031
상품코드:1619205
리서치사:SkyQuest Technology Consulting Pvt. Ltd.
발행일:2024년 12월
페이지 정보:영문 260 Pages
라이선스 & 가격 (부가세 별도)
한글목차
세계의 의료용 예측 분석 시장 규모는 2022년에 29억 달러로 평가되며, 2023년 38억 달러에서 2031년에는 255억 9,000만 달러로 성장하며, 예측 기간(2024-2031년)의 CAGR은 26.9%로 성장할 전망입니다.
의료 환경, 특히 중환자실과 일반 병동에서 환자 예후를 개선하고 비용을 절감하기 위해 예측 분석을 활용하려는 움직임이 가속화되고 있습니다. 미국 연간 의료비 3조 8,000억 달러의 90%를 차지하는 만성질환과 정신질환을 조기에 발견하여 병원 재입원을 크게 줄이고, 장비의 다운타임을 방지할 수 있습니다. 고급 분석 시스템에 대한 이러한 수요 증가는 더 높은 효율성과 비용 절감에 대한 필요성에 기인합니다. 예측 분석과 맞춤형 의료의 통합은 불필요한 의료 비용을 억제할 뿐만 아니라 전체 환자의 결과를 개선할 수 있습니다. 결국, 만성질환과 관련된 세계 의료비 증가로 인해 첨단 의료 기술, 분석 툴 및 AI의 융합은 시장 확대에 박차를 가할 것입니다.
목차
서론
분석 목적
시장 범위
정의
분석 방법
정보 조달
2차·1차 데이터 방법
시장 규모 예측
시장의 상정과 제약
개요
시장의 개요와 전망
수급 동향 분석
부문별 기회 분석
시장 역학과 전망
시장 개요
시장 규모
시장 역학
촉진요인과 기회
억제요인과 과제
Porter의 산업 분석과 영향
경쟁 기업 간 경쟁 관계
대체품의 위협
바이어의 교섭력
신규 진출업체의 위협
공급 기업의 교섭력
시장의 주요 인사이트
주요 성공 요인
경쟁의 정도
주요 투자 기회
시장 에코시스템
시장의 매력 지수(2023년)
PESTEL 분석
거시경제 지표
밸류체인 분석
가격 분석
기술 진보
규제 상황
특허 분석
사례 연구
스타트업 분석
세계의 의료용 예측 분석 시장 규모·CAGR : 제품별(2024-2031년)
시장 개요
하드웨어
소프트웨어
서비스
세계의 의료용 예측 분석 시장 규모·CAGR : 도입 방식별(2024-2031년)
시장 개요
온프레미스
클라우드 기반
세계의 의료용 예측 분석 시장 규모·CAGR : 용도별(2024-2031년)
시장 개요
임상 데이터 분석
환자 관리
인구 헬스케어
질병 관리
재무 데이터 분석
RCM(Revenue Cycle Management)
부정행위 탐지
리스크 조정
연구 데이터 분석
임상시험
Drug Discovery
운영 관리
공급망 관리
인재 관리
세계의 의료용 예측 분석 시장 규모·CAGR : 최종사용자별(2024-2031년)
시장 개요
의료 제공자
병원
클리닉
외래 수술 센터
의료비 지불자
보험 회사
정부기관
기타
연구기관
학술기관
세계의 의료용 예측 분석 시장 규모·CAGR(2024-2031년)
북미
미국
캐나다
유럽
영국
독일
스페인
프랑스
이탈리아
기타 유럽 지역
아시아태평양
중국
인도
일본
한국
기타 아시아태평양
라틴아메리카
브라질
기타 라틴아메리카 지역
중동 및 아프리카
GCC 국가
남아프리카공화국
기타 중동 및 아프리카
경쟁 구도
상위 5사의 비교
주요 기업의 시장 포지셔닝(2023년)
주요 기업이 채택한 전략
시장의 최근 동향
주요 기업의 시장 점유율(2023년)
주요 기업의 개요
기업 개요
제품 포트폴리오 분석
부문별 점유율 분석
매출의 전년대비 비교(2021-2023년)
주요 기업 개요
IBM Corporation
Cerner Corporation
McKesson Corporation
SAS Institute Inc.
Oracle Corporation
Health Catalyst
Optum, Inc.
Allscripts Healthcare Solutions, Inc.
Epic Systems Corporation
Verisk Analytics, Inc.
Inovalon
Cognizant Technology Solutions
MedeAnalytics, Inc.
SCIO Health Analytics
Truven Health Analytics
HMS Holdings Corp.
CitiusTech Inc.
Change Healthcare
Koninklijke Philips N.V.
GE Healthcare
결론과 권장사항
KSA
영문 목차
영문목차
Global Healthcare Predictive Analytics Market size was valued at USD 2.9 billion in 2022 and is poised to grow from USD 3.80 billion in 2023 to USD 25.59 billion by 2031, growing at a CAGR of 26.9% during the forecast period (2024-2031).
The healthcare landscape is increasingly leveraging predictive analytics to enhance patient outcomes and reduce costs, particularly in ICU and general ward settings. By identifying at-risk patients early, monitoring chronic and mental health conditions-which account for 90% of the $3.8 trillion annual healthcare spending in the U.S.-can significantly mitigate hospital readmissions and prevent equipment downtime. This growth in demand for advanced analytics systems has been driven by the need for greater efficiency and cost savings. Integrating predictive analytics with personalized medicine not only curtails unnecessary medical expenses but also improves overall patient results. Ultimately, the fusion of advanced health technologies, analytics tools, and AI is set to fuel market expansion amid rising global healthcare costs associated with chronic diseases.
Top-down and bottom-up approaches were used to estimate and validate the size of the Global Healthcare Predictive Analytics 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 Healthcare Predictive Analytics Market Segmental Analysis
Global Healthcare Predictive Analytics Market is segmented by product, deployment mode, application, end user and region. Based on product, the market is segmented into hardware, software and services. Based on deployment mode, the market is segmented into on-premises and cloud-based. Based on application, the market is segmented into clinical data analytics, financial data analytics, research data analytics and operations management. Based on end user, the market is segmented into healthcare providers, healthcare payers 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 Healthcare Predictive Analytics Market
The Global Healthcare Predictive Analytics market is primarily driven by the ability of predictive analytics to enhance care delivery and improve patient outcomes. By integrating real-time and historical data, healthcare analytics allows professionals to forecast trends and derive actionable insights, leading to long-term growth within the sector. The increasing adoption of big data technologies among healthcare organizations is addressing risks associated with chronic diseases and is anticipated to accelerate market growth. Additionally, the widespread implementation of telemedicine solutions aims to reduce operational costs while enhancing service quality, further fueling demand for healthcare analytics systems. These advancements contribute to improved patient data management, reduced personnel expenses, and increased organizational productivity, all of which are pivotal in driving the healthcare analytics market forward during the projected period.
Restraints in the Global Healthcare Predictive Analytics Market
The Global Healthcare Predictive Analytics market faces several constraints that hinder its growth. Chief among these are concerns regarding data privacy and security, as the proliferation of various payment methods has led to an increase in fraudulent activities by hackers and thieves. This raises significant concerns about the safety of financial transactions and patient data. Additionally, there is a notable shortage of skilled professionals in the healthcare sector who possess the technical and statistical knowledge necessary to effectively implement and utilize advanced technologies such as big data analytics, machine learning, and artificial intelligence. Moreover, strict data integrity and compliance regulations further complicate the adoption of innovative solutions, making it challenging to advance the healthcare analytics market.
Market Trends of the Global Healthcare Predictive Analytics Market
The Global Healthcare Predictive Analytics market is witnessing a notable upward trend, driven by the integration of advanced technologies such as the Internet of Things (IoT) and big data into healthcare systems. This technological convergence enhances the ability to analyze vast amounts of health-related data, enabling more accurate predictions and better patient outcomes. Healthcare predictive analytics tools are proving instrumental in minimizing unnecessary tests and procedures, thereby reducing overall healthcare costs. As healthcare providers increasingly embrace these analytics solutions for improved operational efficiency and patient care, the demand for predictive analytics is expected to escalate significantly throughout the forecast period.
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
Driver & Opportunities
Restraints & Challenges
Porters Analysis & Impact
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, 2023
PESTEL Analysis
Macro-Economic Indicators
Value Chain Analysis
Pricing Analysis
Technological Advancement
Regulatory Landscape
Patent Analysis
Case Studies
Startup Analysis
Global Healthcare Predictive Analytics Market Size by Product & CAGR (2024-2031)
Market Overview
Hardware
Software
Services
Global Healthcare Predictive Analytics Market Size by Deployment Mode & CAGR (2024-2031)
Market Overview
On-Premises
Cloud-Based
Global Healthcare Predictive Analytics Market Size by Application & CAGR (2024-2031)
Market Overview
Clinical Data Analytics
Patient Management
Population Health Management
Disease Management
Financial Data Analytics
Revenue Cycle Management
Fraud Detection
Risk Adjustment
Research Data Analytics
Clinical Trials
Drug Discovery
Operations Management
Supply Chain Management
Workforce Management
Global Healthcare Predictive Analytics Market Size by End User & CAGR (2024-2031)
Market Overview
Healthcare Providers
Hospitals
Clinics
Ambulatory Surgical Centers
Healthcare Payers
Insurance Companies
Government Agencies
Others
Research Institutes
Academic Institutions
Global Healthcare Predictive Analytics Market Size & CAGR (2024-2031)
North America (Product, Deployment Mode, Application, End User)
US
Canada
Europe (Product, Deployment Mode, Application, End User)
UK
Germany
Spain
France
Italy
Rest of Europe
Asia-Pacific (Product, Deployment Mode, Application, End User)
China
India
Japan
South Korea
Rest of Asia Pacific
Latin America (Product, Deployment Mode, Application, End User)
Brazil
Rest of Latin America
Middle East & Africa (Product, Deployment Mode, Application, End User)
