한글목차

의료용 빅데이터 애널리틱스의 동향과 예측

세계의 의료용 빅데이터 애널리틱스 시장은 2024-2030년 CAGR 15.2%로 성장할 것으로 예측됩니다. 이 시장의 주요 촉진요인은 치료 계획을 조정하기 위한 자동화 의료 솔루션의 이용 확대, 첨단 애널리틱스의 채택 급증, 의료 업계에 의한 설비 투자의 증가입니다. 세계의 의료용 빅데이터 애널리틱스 시장의 미래는 병원·진료소, 금융·보험대리점, 조사기관의 각 시장에서의 비즈니스 기회에 의해 유망시되고 있습니다.

의료용 빅데이터 애널리틱스 시장 인사이트

Lucintel은 광범위한 데이터세트를 간단하고 신속히 검색할 수 있으므로 환자에 관련된 정확한 결과를 얻을 수 있고 의사결정에도 도움이 되는 것으로 인해 예측 기간 중에도 서비스가 최대 부문을 유지할 것으로 예측하고 있습니다.

이 시장내에서 병원·클리닉은 환자 건강 동향의 변화를 적시에 의료 담당자에게 통지하므로 최대 부문을 유지할 것입니다.

북미는 전자건강기록의 보급이 진행되고 있으므로 예측 기간 중에도 최대 지역을 유지할 것으로 생각됩니다.

아래 11개의 주요 질문에 답변하고 있습니다 :

• Q.1.시장 부문 중 가장 유망하고 고성장인 기회는 무엇인가?
• Q.2.어느 부문이 보다 빠른 페이스로 성장하는가, 또 이유는?
• Q.3.향후 성장이 가속할 것으로 생각되는 지역과 이유는?
• Q.4.시장 역학에 영향을 미치는 주요 요인은 무엇인가? 시장에서 주요 과제와 비즈니스 리스크는?
• Q.5.이 시장에서 비즈니스 리스크와 경쟁의 위협은?
• Q.6.이 시장에서 새로운 동향과 이유는?
• Q.7.시장에서 고객의 수요 변화에는 어떤 것이 있는가?
• Q.8.이 시장에서 새로운 개발과 개발을 선도하고 있는 기업은?
• Q.9.이 시장의 주요 기업은? 주요 기업은 사업 성장을 위해 어떤 전략적 구상을 진행시키고 있는가?
• Q.10.이 시장에서 경쟁 제품에는 어떤 것이 있습니까.또한 타업종 참여나 대체품의 등장에 의한 시장 점유율 하락의 위협은 어느 정도 있습니까.
• Q.11.과거 5년간 어떤 M&A가 시행되고, 업계에 어떤 영향을 미쳤는가?

목차

제1장 주요 요약

제2장 세계의 의료용 빅데이터 애널리틱스 시장 : 시장 역학

• 서론, 배경, 분류
• 공급망
• 업계의 촉진요인과 과제

제3장 2018-2030년의 시장 동향과 예측 분석

• 거시경제 동향(2018-2023년)과 예측(2024-2030년)
• 세계의 의료용 빅데이터 애널리틱스 시장 동향(2018-2023년)과 예측(2024-2030년)
• 컴포넌트별 세계의 의료용 빅데이터 애널리틱스 시장
  • 서비스
  • 소프트웨어
  • 하드웨어
• 애널리틱스 유형별 세계의 의료용 빅데이터 애널리틱스 시장
  • 기술적 애널리틱스
  • 예측적 애널리틱스
  • 처방적 애널리틱스
  • 인지분석
• 애플리케이션별 세계의 의료용 빅데이터 애널리틱스 시장
  • 재무 애널리틱스
  • 임상 애널리틱스
  • 운영 애널리틱스
  • 기타
• 최종 용도별 세계의 의료용 빅데이터 애널리틱스 시장
  • 병원·클리닉
  • 금융·보험대리점
  • 조사기관

제4장 2018-2030년의 지역별 시장 동향과 예측 분석

• 지역별 세계의 의료용 빅데이터 애널리틱스 시장
• 북미의 의료용 빅데이터 애널리틱스 시장
• 유럽의 의료용 빅데이터 애널리틱스 시장
• 아시아태평양의 의료용 빅데이터 애널리틱스 시장
• 기타 지역의 의료용 빅데이터 애널리틱스 시장

제5장 경쟁 분석

• 제품 포트폴리오 분석
• 운영상 통합
• Porter's Five Forces 분석

제6장 성장 기회와 전략적 분석

• 성장 기회 분석
  • 컴포넌트별 세계의 의료용 빅데이터 애널리틱스 시장의 성장 기회
  • 애널리틱스 유형별 세계의 의료용 빅데이터 애널리틱스 시장의 성장 기회
  • 애플리케이션별 세계의 의료용 빅데이터 애널리틱스 시장의 성장 기회
  • 최종 용도별 세계의 의료용 빅데이터 애널리틱스 시장의 성장 기회
  • 지역별 세계의 의료용 빅데이터 애널리틱스 시장의 성장 기회
• 세계의 의료용 빅데이터 애널리틱스 시장의 새로운 동향
• 전략적 분석
  • 신제품의 개발
  • 세계의 의료용 빅데이터 애널리틱스 시장의 능력 확대
  • 세계의 의료용 빅데이터 애널리틱스 시장에서의 합병, 인수, 합병사업
  • 인증과 라이선싱

제7장 유력 기업의 기업 개요

• Allscripts Healthcare
• Cerner
• IBM
• COTIVITI
• Oracle
• Health Catalyst
• Inovalon

영문목차

Healthcare Big Data Analytic Trends and Forecast

The future of the global healthcare big data analytic market looks promising with opportunities in the hospital and clinic, finance and insurance agency, and research organization markets. The global healthcare big data analytic market is expected to grow with a CAGR of 15.2% from 2024 to 2030. The major drivers for this market are growing utilization of automated healthcare solutions to tailor treatment plans, surging adoption of advanced analytics, and rising capital investments by the healthcare industry.

A more than 150-page report is developed to help in your business decisions.

Healthcare Big Data Analytic by Segment

The study includes a forecast for the global healthcare big data analytic by component, anaytic type, application, end use, and region.

Healthcare Big Data Analytic Market by Component [Shipment Analysis by Value from 2018 to 2030]:

• Services
• Software
• Hardware

Healthcare Big Data Analytic Market by Anaytic Type [Shipment Analysis by Value from 2018 to 2030]:

• Descriptive Analytics
• Predictive Analytics
• Prescriptive Analytics
• Cognitive Analytics

Healthcare Big Data Analytic Market by Application [Shipment Analysis by Value from 2018 to 2030]:

• Financial Analytics
• Clinical Analytics
• Operational Analytics
• Others

Healthcare Big Data Analytic Market by End Use [Shipment Analysis by Value from 2018 to 2030]:

• Hospitals and Clinics
• Finance and Insurance Agencies
• Research Organizations

Healthcare Big Data Analytic Market by Region [Shipment Analysis by Value from 2018 to 2030]:

• North America
• Europe
• Asia Pacific
• The Rest of the World

List of Healthcare Big Data Analytic Companies

Companies in the market compete on the basis of product quality offered. Major players in this market focus on expanding their manufacturing facilities, R&D investments, infrastructural development, and leverage integration opportunities across the value chain. With these strategies healthcare big data analytic companies cater increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the healthcare big data analytic companies profiled in this report include-

• Allscripts Healthcare
• Cerner
• IBM
• COTIVITI
• Oracle
• Health Catalyst
• Inovalon

Healthcare Big Data Analytic Market Insights

Lucintel forecasts that service will remain the largest segment over the forecast period due to effortless and rapid retrieval of extensive datasets, thus ensuring precise patient-related results, and also aids in decision-making.

Within this market, hospital and clinic will remain the largest segment as it notifies healthcare personnel about the changes in patient health trends in a timely manner.

North America will remain the largest region over the forecast period due to growing uptake of electronic health records in the region.

Features of the Global Healthcare Big Data Analytic Market

Market Size Estimates: Healthcare big data analytic market size estimation in terms of value ($B).

Trend and Forecast Analysis: Market trends (2018 to 2023) and forecast (2024 to 2030) by various segments and regions.

Segmentation Analysis: Healthcare big data analytic market size by various segments, such as by component, anaytic type, application, end use, and region in terms of value ($B).

Regional Analysis: Healthcare big data analytic market breakdown by North America, Europe, Asia Pacific, and Rest of the World.

Growth Opportunities: Analysis of growth opportunities in different components, anaytic types, applications, end uses, and regions for the healthcare big data analytic market.

Strategic Analysis: This includes M&A, new product development, and competitive landscape of the healthcare big data analytic market.

Analysis of competitive intensity of the industry based on Porter's Five Forces model.

FAQ

Q1. What is the growth forecast for healthcare big data analytic market?

Answer: The global healthcare big data analytic market is expected to grow with a CAGR of 15.2% from 2024 to 2030.

Q2. What are the major drivers influencing the growth of the healthcare big data analytic market?

Answer: The major drivers for this market are growing utilization of automated healthcare solutions to tailor treatment plans, surging adoption of advanced analytics, and rising capital investments by the healthcare industry.

Q3. What are the major segments for healthcare big data analytic market?

Answer: The future of the healthcare big data analytic market looks promising with opportunities in the hospital and clinic, finance and insurance agency, and research organization markets.

Q4. Who are the key healthcare big data analytic market companies?

Answer: Some of the key healthcare big data analytic companies are as follows:

• Allscripts Healthcare
• Cerner
• IBM
• COTIVITI
• Oracle
• Health Catalyst
• Inovalon

Q5. Which healthcare big data analytic market segment will be the largest in future?

Answer: Lucintel forecasts that service will remain the largest segment over the forecast period due to effortless and rapid retrieval of extensive datasets, thus ensuring precise patient-related results, and also aids in decision-making.

Q6. In healthcare big data analytic market, which region is expected to be the largest in next 5 years?

Answer: North America will remain the largest region over the forecast period due to growing uptake of electronic health records in the region.

Q7. Do we receive customization in this report?

Answer: Yes, Lucintel provides 10% customization without any additional cost.

This report answers following 11 key questions:

• Q.1. What are some of the most promising, high-growth opportunities for the healthcare big data analytic market by component (services, software, and hardware), anaytic type (descriptive analytics, predictive analytics, prescriptive analytics, and cognitive analytics), application (financial analytics, clinical analytics, operational analytics, and others), end use (hospitals and clinics, finance and insurance agencies, and research organizations), and region (North America, Europe, Asia Pacific, and the Rest of the World)?
• Q.2. Which segments will grow at a faster pace and why?
• Q.3. Which region will grow at a faster pace and why?
• Q.4. What are the key factors affecting market dynamics? What are the key challenges and business risks in this market?
• Q.5. What are the business risks and competitive threats in this market?
• Q.6. What are the emerging trends in this market and the reasons behind them?
• Q.7. What are some of the changing demands of customers in the market?
• Q.8. What are the new developments in the market? Which companies are leading these developments?
• Q.9. Who are the major players in this market? What strategic initiatives are key players pursuing for business growth?
• Q.10. What are some of the competing products in this market and how big of a threat do they pose for loss of market share by anaytic type or product substitution?
• Q.11. What M&A activity has occurred in the last 5 years and what has its impact been on the industry?

Table of Contents

1. Executive Summary

2. Global Healthcare Big Data Analytic Market : Market Dynamics

• 2.1: Introduction, Background, and Classifications
• 2.2: Supply Chain
• 2.3: Industry Drivers and Challenges

3. Market Trends and Forecast Analysis from 2018 to 2030

• 3.1. Macroeconomic Trends (2018-2023) and Forecast (2024-2030)
• 3.2. Global Healthcare Big Data Analytic Market Trends (2018-2023) and Forecast (2024-2030)
• 3.3: Global Healthcare Big Data Analytic Market by Component
  • 3.3.1: Services
  • 3.3.2: Software
  • 3.3.3: Hardware
• 3.4: Global Healthcare Big Data Analytic Market by Anaytic Type
  • 3.4.1: Descriptive Analytics
  • 3.4.2: Predictive Analytics
  • 3.4.3: Prescriptive Analytics
  • 3.4.4: Cognitive Analytics
• 3.5: Global Healthcare Big Data Analytic Market by Application
  • 3.5.1: Financial Analytics
  • 3.5.2: Clinical Analytics
  • 3.5.3: Operational Analytics
  • 3.5.4: Others
• 3.6: Global Healthcare Big Data Analytic Market by End Use
  • 3.6.1: Hospitals and Clinics
  • 3.6.2: Finance and Insurance Agencies
  • 3.6.3: Research Organizations

4. Market Trends and Forecast Analysis by Region from 2018 to 2030

• 4.1: Global Healthcare Big Data Analytic Market by Region
• 4.2: North American Healthcare Big Data Analytic Market
  • 4.2.2: North American Healthcare Big Data Analytic Market by End Use: Hospitals and Clinics, Finance and Insurance Agencies, and Research Organizations
• 4.3: European Healthcare Big Data Analytic Market
  • 4.3.1: European Healthcare Big Data Analytic Market by Component: Services, Software, and Hardware
  • 4.3.2: European Healthcare Big Data Analytic Market by End Use: Hospitals and Clinics, Finance and Insurance Agencies, and Research Organizations
• 4.4: APAC Healthcare Big Data Analytic Market
  • 4.4.1: APAC Healthcare Big Data Analytic Market by Component: Services, Software, and Hardware
  • 4.4.2: APAC Healthcare Big Data Analytic Market by End Use: Hospitals and Clinics, Finance and Insurance Agencies, and Research Organizations
• 4.5: ROW Healthcare Big Data Analytic Market
  • 4.5.1: ROW Healthcare Big Data Analytic Market by Component: Services, Software, and Hardware
  • 4.5.2: ROW Healthcare Big Data Analytic Market by End Use: Hospitals and Clinics, Finance and Insurance Agencies, and Research Organizations

5. Competitor Analysis

• 5.1: Product Portfolio Analysis
• 5.2: Operational Integration
• 5.3: Porter's Five Forces Analysis

6. Growth Opportunities and Strategic Analysis

• 6.1: Growth Opportunity Analysis
  • 6.1.1: Growth Opportunities for the Global Healthcare Big Data Analytic Market by Component
  • 6.1.2: Growth Opportunities for the Global Healthcare Big Data Analytic Market by Anaytic Type
  • 6.1.3: Growth Opportunities for the Global Healthcare Big Data Analytic Market by Application
  • 6.1.4: Growth Opportunities for the Global Healthcare Big Data Analytic Market by End Use
  • 6.1.5: Growth Opportunities for the Global Healthcare Big Data Analytic Market by Region
• 6.2: Emerging Trends in the Global Healthcare Big Data Analytic Market
• 6.3: Strategic Analysis
  • 6.3.1: New Product Development
  • 6.3.2: Capacity Expansion of the Global Healthcare Big Data Analytic Market
  • 6.3.3: Mergers, Acquisitions, and Joint Ventures in the Global Healthcare Big Data Analytic Market
  • 6.3.4: Certification and Licensing

7. Company Profiles of Leading Players

• 7.1: Allscripts Healthcare
• 7.2: Cerner
• 7.3: IBM
• 7.4: COTIVITI
• 7.5: Oracle
• 7.6: Health Catalyst
• 7.7: Inovalon