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市场调查报告书
商品编码
1387361

医疗保健巨量资料分析市场报告：2030 年趋势、预测与竞争分析

Healthcare Big Data Analytic Market Report: Trends, Forecast and Competitive Analysis to 2030
出版日期: | 出版商: Lucintel | 英文 150 Pages | 商品交期: 3个工作天内

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简介目录

医疗保健巨量资料分析的趋势与预测

2024年至2030年，全球医疗保健巨量资料分析市场预计将以15.2%的复合年增长率成长。该市场的主要驱动力是越来越多地使用自动化医疗解决方案来客製化治疗计划、高级分析的快速采用以及医疗产业资本支出的增加。全球医疗保健巨量资料分析市场的未来前景广阔，医院/诊所、金融/保险机构和研究机构市场存在商机。

医疗保健巨量资料分析市场洞察

Lucintel 预计，在预测期内，服务仍将是最大的细分市场，因为能够轻鬆快速地搜寻大量资料集，从而产生与患者相关的准确结果，并有助于决策。我是。

在这个市场中，医院和诊所将继续成为最大的细分市场，因为它们及时向负责人通报病患健康趋势的变化。

由于电子健康记录的普及不断提高，预计北美在预测期内仍将是最大的地区。

本报告回答了 11 个关键问题：

  • Q.1. 细分市场中最有前途和高成长的机会是什么？
  • Q.2.哪个细分市场将以更快的速度成长？为什么？
  • Q.3.您认为哪些地区未来会出现更快的成长？为什么？
  • Q.4. 影响市场动态的主要因素有哪些？市场的主要挑战和商业风险是什么？
  • Q.5. 这个市场的商业风险和竞争威胁是什么？
  • Q.6.这个市场有哪些新趋势？为什么？
  • Q.7.市场客户需求有何改变？
  • Q.8. 该市场有哪些新发展以及哪些公司处于领先地位？
  • Q.9.这个市场的主要企业有哪些？主要企业采取哪些策略配合措施来发展业务？
  • Q.10.这个市场有哪些竞争产品？另外，在多大程度上存在着因其他产业的进入或替代产品的出现而导致市场占有率下降的威胁？
  • Q.11.过去五年发生了哪些併购事件，对产业产生了哪些影响？

目录

第一章执行摘要

第二章全球医疗巨量资料分析市场：市场动态

  • 简介、背景、分类
  • 供应链
  • 产业驱动因素与挑战

第三章 2018-2030年市场趋势及预测分析

  • 宏观经济趋势（2018-2023）与预测（2024-2030）
  • 全球医疗巨量资料分析市场趋势（2018-2023）与预测（2024-2030）
  • 全球医疗巨量资料分析市场（按组成部分）
    • 服务
    • 软体
    • 硬体
  • 按分析类型分類的全球医疗保健巨量资料分析市场
    • 说明分析
    • 预测分析
    • 规范性分析
    • 认知分析
  • 全球医疗巨量资料分析市场（按应用）
    • 财务分析
    • 临床分析
    • 营运分析
    • 其他的
  • 按最终用途分類的全球医疗巨量资料分析市场
    • 医院/诊所
    • 金融/保险机构
    • 调查机构

第四章 2018-2030年区域市场趋势及预测分析

  • 全球医疗巨量资料分析市场（按地区）
  • 北美医疗巨量资料分析市场
  • 欧洲医疗保健巨量资料分析市场
  • 亚太医疗保健巨量资料分析市场
  • 其他地区医疗巨量资料分析市场

第五章竞争分析

  • 产品系列分析
  • 营运整合
  • 波特五力分析

第六章 成长机会与策略分析

  • 成长机会分析
    • 全球医疗巨量资料分析市场成长机会（按组成部分）
    • 按分析类型分類的全球医疗保健巨量资料分析市场成长机会
    • 全球医疗保健巨量资料分析市场成长机会（按应用）
    • 全球医疗巨量资料分析市场成长机会（依最终用途）
    • 全球医疗保健巨量资料分析市场成长机会（按地区）
  • 全球医疗巨量资料分析市场新趋势
  • 战略分析
    • 新产品开发
    • 扩大全球医疗巨量资料分析市场的能力
    • 全球医疗保健巨量资料分析市场的合併、收购与合资企业
    • 认证和许可

第七章主要企业概况

  • Allscripts Healthcare
  • Cerner
  • IBM
  • COTIVITI
  • Oracle
  • Health Catalyst
  • Inovalon
简介目录

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