Healthcare Predictive Analytics Market Report: Trends, Forecast and Competitive Analysis to 2030
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Healthcare Predictive Analytics Trends and Forecast
The future of the global healthcare predictive analytics market looks promising with opportunities in the payers and provider markets. The global healthcare predictive analytics market is expected to reach an estimated $34.1 billion by 2030 with a CAGR of 20.4% from 2024 to 2030. The major drivers for this market are the industry's growing need for advanced analytics tools in order to save costs and enhance patient outcomes, the growing popularity of individualized healthcare and the emphasis on value-based healthcare, and rising adoption of electronic health record.
A more than 150-page report is developed to help in your business decisions. Sample figures with some insights are shown below.
Healthcare Predictive Analytics by Segment
The study includes a forecast for the global healthcare predictive analytics by application, end use, and region.
Healthcare Predictive Analytics Market by Application [Shipment Analysis by Value from 2018 to 2030]:
Companies in the market compete on the basis of product quality offered. Major players in this market focus on expanding their manufacturing facilities, R&D investments, infrastructural development, and leverage integration opportunities across the value chain. With these strategies healthcare predictive analytics companies cater increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the healthcare predictive analytics companies profiled in this report include-
Lucintel forecasts that financial will remain the largest segment over the forecast period due to healthcare fraud costs billions annually, and predictive analytics helps insurers detect suspicious patterns and behaviors, preventing fraudulent claims and saving significant amounts of money.
North America will remain the largest region over the forecast period due to well-equipped healthcare facilities with readily available advanced technological resources like electronic health records and data infrastructure.
Features of the Global Healthcare Predictive Analytics Market
Market Size Estimates: Healthcare predictive analytics market size estimation in terms of value ($B).
Trend and Forecast Analysis: Market trends (2018 to 2023) and forecast (2024 to 2030) by various segments and regions.
Segmentation Analysis: Healthcare predictive analytics market size by application, end use, and region in terms of value ($B).
Regional Analysis: Healthcare predictive analytics market breakdown by North America, Europe, Asia Pacific, and Rest of the World.
Growth Opportunities: Analysis of growth opportunities in different application, end use, and regions for the healthcare predictive analytics market.
Strategic Analysis: This includes M&A, new product development, and competitive landscape of the healthcare predictive analytics market.
Analysis of competitive intensity of the industry based on Porter’s Five Forces model.
FAQ
Q1. What is the healthcare predictive analytics market size?
Answer: The global healthcare predictive analytics market is expected to reach an estimated $34.1 billion by 2030.
Q2. What is the growth forecast for healthcare predictive analytics market?
Answer: The global healthcare predictive analytics market is expected to grow with a CAGR of 20.4% from 2024 to 2030.
Q3. What are the major drivers influencing the growth of the healthcare predictive analytics market?
Answer: The major drivers for this market are the industry's growing need for advanced analytics tools in order to save costs and enhance patient outcomes, the growing popularity of individualized healthcare and the emphasis on value-based healthcare, and rising adoption of electronic health record.
Q4. What are the major segments for healthcare predictive analytics market?
Answer: The future of the global healthcare predictive analytics market looks promising with opportunities in the payers and provider markets.
Q5. Who are the key healthcare predictive analytics market companies?
Answer: Some of the key healthcare predictive analytics companies are as follows:
Answer: Lucintel forecasts that financial will remain the largest segment over the forecast period due to healthcare fraud costs billions annually, and predictive analytics helps insurers detect suspicious patterns and behaviors, preventing fraudulent claims and saving significant amounts of money.
Q7. In healthcare predictive analytics 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 well-equipped healthcare facilities with readily available advanced technological resources like electronic health records and data infrastructure.
Q.8 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 predictive analytics market by application (operations management, financial, population health, and clinical), end use (payers, providers, and others), 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 material 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 Predictive Analytics Market, Healthcare Predictive Analytics Market Size, Healthcare Predictive Analytics Market Growth, Healthcare Predictive Analytics Market Analysis, Healthcare Predictive Analytics Market Report, Healthcare Predictive Analytics Market Share, Healthcare Predictive Analytics Market Trends, Healthcare Predictive Analytics Market Forecast, Healthcare Predictive Analytics Companies, write Lucintel analyst at email: [email protected]. We will be glad to get back to you soon.
Healthcare Predictive Analytics Trends and Forecast
The future of the global healthcare predictive analytics market looks promising with opportunities in the payers and provider markets. The global healthcare predictive analytics market is expected to reach an estimated $34.1 billion by 2030 with a CAGR of 20.4% from 2024 to 2030. The major drivers for this market are the industry's growing need for advanced analytics tools in order to save costs and enhance patient outcomes, the growing popularity of individualized healthcare and the emphasis on value-based healthcare, and rising adoption of electronic health record.
A more than 150-page report is developed to help in your business decisions. Sample figures with some insights are shown below.
Healthcare Predictive Analytics by Segment
The study includes a forecast for the global healthcare predictive analytics by application, end use, and region.
Healthcare Predictive Analytics Market by Application [Shipment Analysis by Value from 2018 to 2030]:
- Operations Management
- Financial
- Population Health
- Clinical
- Payers
- Providers
- Others
- North America
- Europe
- Asia Pacific
- The Rest of the World
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 predictive analytics companies cater increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the healthcare predictive analytics companies profiled in this report include-
- IBM
- Cerner
- Verisk Analytics
- McKesson
- SAS
- Oracle
- Allscripts
- Optum
- MedeAnalytics
- OSP
Lucintel forecasts that financial will remain the largest segment over the forecast period due to healthcare fraud costs billions annually, and predictive analytics helps insurers detect suspicious patterns and behaviors, preventing fraudulent claims and saving significant amounts of money.
North America will remain the largest region over the forecast period due to well-equipped healthcare facilities with readily available advanced technological resources like electronic health records and data infrastructure.
Features of the Global Healthcare Predictive Analytics Market
Market Size Estimates: Healthcare predictive analytics 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 predictive analytics market size by application, end use, and region in terms of value ($B).
Regional Analysis: Healthcare predictive analytics market breakdown by North America, Europe, Asia Pacific, and Rest of the World.
Growth Opportunities: Analysis of growth opportunities in different application, end use, and regions for the healthcare predictive analytics market.
Strategic Analysis: This includes M&A, new product development, and competitive landscape of the healthcare predictive analytics market.
Analysis of competitive intensity of the industry based on Porter’s Five Forces model.
FAQ
Q1. What is the healthcare predictive analytics market size?
Answer: The global healthcare predictive analytics market is expected to reach an estimated $34.1 billion by 2030.
Q2. What is the growth forecast for healthcare predictive analytics market?
Answer: The global healthcare predictive analytics market is expected to grow with a CAGR of 20.4% from 2024 to 2030.
Q3. What are the major drivers influencing the growth of the healthcare predictive analytics market?
Answer: The major drivers for this market are the industry's growing need for advanced analytics tools in order to save costs and enhance patient outcomes, the growing popularity of individualized healthcare and the emphasis on value-based healthcare, and rising adoption of electronic health record.
Q4. What are the major segments for healthcare predictive analytics market?
Answer: The future of the global healthcare predictive analytics market looks promising with opportunities in the payers and provider markets.
Q5. Who are the key healthcare predictive analytics market companies?
Answer: Some of the key healthcare predictive analytics companies are as follows:
- IBM
- Cerner
- Verisk Analytics
- McKesson
- SAS
- Oracle
- Allscripts
- Optum
- MedeAnalytics
- OSP
Answer: Lucintel forecasts that financial will remain the largest segment over the forecast period due to healthcare fraud costs billions annually, and predictive analytics helps insurers detect suspicious patterns and behaviors, preventing fraudulent claims and saving significant amounts of money.
Q7. In healthcare predictive analytics 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 well-equipped healthcare facilities with readily available advanced technological resources like electronic health records and data infrastructure.
Q.8 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 predictive analytics market by application (operations management, financial, population health, and clinical), end use (payers, providers, and others), 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 material 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 Predictive Analytics Market, Healthcare Predictive Analytics Market Size, Healthcare Predictive Analytics Market Growth, Healthcare Predictive Analytics Market Analysis, Healthcare Predictive Analytics Market Report, Healthcare Predictive Analytics Market Share, Healthcare Predictive Analytics Market Trends, Healthcare Predictive Analytics Market Forecast, Healthcare Predictive Analytics Companies, write Lucintel analyst at email: [email protected]. We will be glad to get back to you soon.
1. EXECUTIVE SUMMARY
2. GLOBAL HEALTHCARE PREDICTIVE ANALYTICS 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 Predictive Analytics Market Trends (2018-2023) and Forecast (2024-2030)
3.3: Global Healthcare Predictive Analytics Market by Application
3.3.1: Operations Management
3.3.2: Financial
3.3.3: Population Health
3.3.4: Clinical
3.4: Global Healthcare Predictive Analytics Market by End Use
3.4.1: Payers
3.4.2: Providers
3.4.3: Others
4. MARKET TRENDS AND FORECAST ANALYSIS BY REGION FROM 2018 TO 2030
4.1: Global Healthcare Predictive Analytics Market by Region
4.2: North American Healthcare Predictive Analytics Market
4.2.1: North American Healthcare Predictive Analytics Market by Application: Operations Management, Financial, Population Health, and Clinical
4.2.2: North American Healthcare Predictive Analytics Market by End Use: Payers, Providers, and Others
4.3: European Healthcare Predictive Analytics Market
4.3.1: European Healthcare Predictive Analytics Market by Application: Operations Management, Financial, Population Health, and Clinical
4.3.2: European Healthcare Predictive Analytics Market by End Use: Payers, Providers, and Others
4.4: APAC Healthcare Predictive Analytics Market
4.4.1: APAC Healthcare Predictive Analytics Market by Application: Operations Management, Financial, Population Health, and Clinical
4.4.2: APAC Healthcare Predictive Analytics Market by End Use: Payers, Providers, and Others
4.5: ROW Healthcare Predictive Analytics Market
4.5.1: ROW Healthcare Predictive Analytics Market by Application: Operations Management, Financial, Population Health, and Clinical
4.5.2: ROW Healthcare Predictive Analytics Market by End Use: Payers, Providers, and Others
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 Predictive Analytics Market by Application
6.1.2: Growth Opportunities for the Global Healthcare Predictive Analytics Market by End Use
6.1.3: Growth Opportunities for the Global Healthcare Predictive Analytics Market by Region
6.2: Emerging Trends in the Global Healthcare Predictive Analytics Market
6.3: Strategic Analysis
6.3.1: New Product Development
6.3.2: Capacity Expansion of the Global Healthcare Predictive Analytics Market
6.3.3: Mergers, Acquisitions, and Joint Ventures in the Global Healthcare Predictive Analytics Market
6.3.4: Certification and Licensing
7. COMPANY PROFILES OF LEADING PLAYERS
7.1: IBM
7.2: Cerner
7.3: Verisk Analytics
7.4: McKesson
7.5: SAS
7.6: Oracle
7.7: Allscripts
7.8: Optum
7.9: MedeAnalytics
7.10: OSP
2. GLOBAL HEALTHCARE PREDICTIVE ANALYTICS 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 Predictive Analytics Market Trends (2018-2023) and Forecast (2024-2030)
3.3: Global Healthcare Predictive Analytics Market by Application
3.3.1: Operations Management
3.3.2: Financial
3.3.3: Population Health
3.3.4: Clinical
3.4: Global Healthcare Predictive Analytics Market by End Use
3.4.1: Payers
3.4.2: Providers
3.4.3: Others
4. MARKET TRENDS AND FORECAST ANALYSIS BY REGION FROM 2018 TO 2030
4.1: Global Healthcare Predictive Analytics Market by Region
4.2: North American Healthcare Predictive Analytics Market
4.2.1: North American Healthcare Predictive Analytics Market by Application: Operations Management, Financial, Population Health, and Clinical
4.2.2: North American Healthcare Predictive Analytics Market by End Use: Payers, Providers, and Others
4.3: European Healthcare Predictive Analytics Market
4.3.1: European Healthcare Predictive Analytics Market by Application: Operations Management, Financial, Population Health, and Clinical
4.3.2: European Healthcare Predictive Analytics Market by End Use: Payers, Providers, and Others
4.4: APAC Healthcare Predictive Analytics Market
4.4.1: APAC Healthcare Predictive Analytics Market by Application: Operations Management, Financial, Population Health, and Clinical
4.4.2: APAC Healthcare Predictive Analytics Market by End Use: Payers, Providers, and Others
4.5: ROW Healthcare Predictive Analytics Market
4.5.1: ROW Healthcare Predictive Analytics Market by Application: Operations Management, Financial, Population Health, and Clinical
4.5.2: ROW Healthcare Predictive Analytics Market by End Use: Payers, Providers, and Others
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 Predictive Analytics Market by Application
6.1.2: Growth Opportunities for the Global Healthcare Predictive Analytics Market by End Use
6.1.3: Growth Opportunities for the Global Healthcare Predictive Analytics Market by Region
6.2: Emerging Trends in the Global Healthcare Predictive Analytics Market
6.3: Strategic Analysis
6.3.1: New Product Development
6.3.2: Capacity Expansion of the Global Healthcare Predictive Analytics Market
6.3.3: Mergers, Acquisitions, and Joint Ventures in the Global Healthcare Predictive Analytics Market
6.3.4: Certification and Licensing
7. COMPANY PROFILES OF LEADING PLAYERS
7.1: IBM
7.2: Cerner
7.3: Verisk Analytics
7.4: McKesson
7.5: SAS
7.6: Oracle
7.7: Allscripts
7.8: Optum
7.9: MedeAnalytics
7.10: OSP
