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1387361

醫療保健巨量資料分析市場報告：2030 年趨勢、預測與競爭分析

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個工作天內

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簡介目錄

醫療保健巨量資料分析的趨勢與預測

2024年至2030年，全球醫療保健巨量資料分析市場預計將以15.2%的複合年成長率成長。該市場的主要驅動力是擴大使用自動化醫療解決方案來客製化治療計劃、高級分析的快速採用以及醫療產業資本支出的增加。全球醫療保健巨量資料分析市場的未來前景廣闊，醫院/診所、金融/保險機構和研究機構市場存在商機。

醫療保健巨量資料分析市場洞察

Lucintel 預計，在預測期內，服務仍將是最大的區隔市場，因為能夠輕鬆快速地搜尋大量資料集，從而產生與患者相關的準確結果，並有助於決策。

在這個市場中，醫院和診所將繼續成為最大的區隔市場，因為它們及時向負責人通報病患健康趨勢的變化。

由於電子健康記錄的普及不斷提高，預計北美在預測期內仍將是最大的地區。

本報告回答了 11 個關鍵問題：

  • Q.1. 區隔市場中最有前途和高成長的機會是什麼？
  • Q.2.哪個區隔市場將以更快的速度成長？為什麼？
  • Q.3.哪些地區未來會出現更快的成長？為什麼？
  • Q.4. 影響市場動態的主要因素有哪些？市場的主要課題和商業風險是什麼？
  • Q.5. 這個市場的商業風險和競爭威脅是什麼？
  • Q.6.這個市場有哪些新趨勢？為什麼？
  • Q.7.市場客戶需求有何改變？
  • Q.8. 該市場有哪些新發展以及哪些公司處於領先地位？
  • Q.9.這個市場的主要企業有哪些？主要企業採取哪些策略配合措施來發展業務？
  • Q.10.這個市場有哪些競爭產品？另外，在多大程度上存在著因其他產業的進入或替代產品的出現而導致市場佔有率下降的威脅？
  • Q.11.過去五年發生了哪些併購事件，對產業產生了哪些影響？

目錄

第1章執行摘要

第2章全球醫療巨量資料分析市場：市場動態

  • 簡介、背景、分類
  • 供應鏈
  • 產業促進因素與課題

第3章 2018-2030年市場趨勢及預測分析

  • 宏觀經濟趨勢（2018-2023）與預測（2024-2030）
  • 全球醫療巨量資料分析市場趨勢（2018-2023）與預測（2024-2030）
  • 全球醫療巨量資料分析市場（依組成部分）
    • 服務
    • 軟體
    • 硬體
  • 依分析類型分類的全球醫療保健巨量資料分析市場
    • 說明分析
    • 預測分析
    • 規範性分析
    • 認知分析
  • 全球醫療巨量資料分析市場（依應用）
    • 財務分析
    • 臨床分析
    • 營運分析
    • 其他
  • 依最終用途分類的全球醫療巨量資料分析市場
    • 醫院/診所
    • 金融/保險機構
    • 調查機構

第4章 2018-2030年區域市場趨勢及預測分析

  • 全球醫療巨量資料分析市場（依地區）
  • 北美醫療巨量資料分析市場
  • 歐洲醫療保健巨量資料分析市場
  • 亞太醫療保健巨量資料分析市場
  • 其他地區醫療巨量資料分析市場

第5章競爭分析

  • 產品系列分析
  • 營運整合
  • 波特五力分析

第6章 成長機會與策略分析

  • 成長機會分析
    • 全球醫療巨量資料分析市場成長機會（依組成部分）
    • 依分析類型分類的全球醫療保健巨量資料分析市場成長機會
    • 全球醫療保健巨量資料分析市場成長機會（依應用）
    • 全球醫療巨量資料分析市場成長機會（依最終用途）
    • 全球醫療保健巨量資料分析市場成長機會（依地區）
  • 全球醫療巨量資料分析市場新趨勢
  • 戰略分析
    • 新產品開發
    • 擴大全球醫療巨量資料分析市場的能力
    • 全球醫療保健巨量資料分析市場的合併、收購與合資企業
    • 認證和許可

第7章主要企業概況

  • Allscripts Healthcare
  • Cerner
  • IBM
  • COTIVITI
  • Oracle
  • Health Catalyst
  • Inovalon
簡介目錄

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