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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. Sample figures with some insights are shown below.
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?
For any questions related to Healthcare Big Data Analytic Market, Healthcare Big Data Analytic Market Size, Healthcare Big Data Analytic Market Growth, Healthcare Big Data Analytic Market Analysis, Healthcare Big Data Analytic Market Report, Healthcare Big Data Analytic Market Share, Healthcare Big Data Analytic Market Trends, Healthcare Big Data Analytic Market Forecast, Healthcare Big Data Analytic Companies, write Lucintel analyst at email: helpdesk@lucintel.com. We will be glad to get back to you soon.
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
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Lucintel has been in the business of market research and management consulting since 2000 and has published over 1000 market intelligence reports in various markets / applications and served over 1,000 clients worldwide. This study is a culmination of four months of full-time effort performed by Lucintel's analyst team. The analysts used the following sources for the creation and completion of this valuable report:
In-depth interviews of the major players in this market
Detailed secondary research from competitors’ financial statements and published data
Extensive searches of published works, market, and database information pertaining to industry news, company press releases, and customer intentions
A compilation of the experiences, judgments, and insights of Lucintel’s professionals, who have analyzed and tracked this market over the years.
Extensive research and interviews are conducted across the supply chain of this market to estimate market share, market size, trends, drivers, challenges, and forecasts. Below is a brief summary of the primary interviews that were conducted by job function for this report.
Thus, Lucintel compiles vast amounts of data from numerous sources, validates the integrity of that data, and performs a comprehensive analysis. Lucintel then organizes the data, its findings, and insights into a concise report designed to support the strategic decision-making process. The figure below is a graphical representation of Lucintel’s research process.
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