Healthcare Big Data Analytic Market Report: Trends, Forecast and Competitive Analysis to 2030

Healthcare Big Data Analytic Market Report: Trends, Forecast and Competitive Analysis to 2030

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?

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