Global Healthcare or Medical Analytics Market – Industry Analysis and Forecast (2017-2026) – by Component, Type, Delivery Mode, Application, End User, and Geography.

Global Healthcare or Medical Analytics Market – Industry Analysis and Forecast (2017-2026) – by Component, Type, Delivery Mode, Application, End User, and Geography.

Market Scenario

Global Healthcare or Medical Analytics Market was valued US$ 8.35 Bn in 2017, and is expected to reach US$ 69.1 Bn by 2026, at a CAGR of 30.23% during forecast period. Global Healthcare or Medical Analytics Market Healthcare analytics market is growing rapidly and major driving factors behind the growth of this market are implementation of government initiatives to increase EHR adoption, rising adoption of data-driven decision-making, increasing pressure to curb healthcare spending and improve patient outcomes, appearance of big data in healthcare, and increasing number of patient registries. On the other hand, high cost of healthcare analytics solutions will be limiting the market growth to a certain extent during forecast period. Digitalization of healthcare data is one of the major drivers of healthcare analytics. According to Intel, around more than 81.0% of healthcare organizations in U.S. have adopted Electronic Medical Records (EMR) systems. These systems gather a lot of data, which can be analyzed using numerous types of healthcare analytics to improve personalized medicine. Based on application, financial analytics segment is expected to dominate the market in 2019, because of increasing focus of payers on the early detection of fraud and minimizing preventable costs. Market for financial analysis is estimated to register significant growth during the forecast period. An on-demand model segment is leading the market, Lack of upfront capital investments for hardware, pay-as-you-go pricing, and higher flexibility of this model are driving factors behind the growth of on-demand model segment. Service segment is projected to register the highest growth in the forecast period. An increasing requirement for business analytics services and the introduction of technologically advanced healthcare analytics software are driving the growth of service segment. Increasing pressure to have a control over healthcare spending and improve patient outcomes is trending the complete Global Healthcare Analytics Market. But, a high cost of analytics solutions will be limiting the market growth. North America is expected to hold the largest market share during the forecast period followed by Europe and APAC. Growth in federal healthcare mandates to limit the rising healthcare costs and offer quality care, increasing regulatory necessity, growing HER adoption will be fueling global Healthcare Analytics/Medical Analytics market in North America. IBM is one of the leading players in the healthcare analytics market and providing a complete range of solutions. Its R&D expenses increased significantly in 2017 as compared to 2016. In 2017, it invested 7.5% of its annual revenue in R&D activities. This significant investment is allowing the company to offer innovative solutions, like Cognos Analytics platform which enables companies to access, analyze, and share business performance data across the association. Some recent launches by the firm include Integrated Analytics Systems with Machine Learning (November 2017), and Community Hospital Solution Suite (March 2016).

Scope of Global Healthcare or Medical Analytics Market:

Global Healthcare or Medical Analytics Market By Type:

• Descriptive Analytics • Predictive Analytics • Prescriptive Analytics

Global Healthcare or Medical Analytics Market By Component:

• Hardware • Services • Software

Global Healthcare or Medical Analytics Market By Delivery Model:

• On-Premise • On-Demand

Global Healthcare or Medical Analytics Market By Application:

• Clinical Analytics • Financial Analytics • Operational and Administrative Analytics • Population Health Analytics

Global Healthcare or Medical Analytics Market By End User:

• Payers • Private Insurance Companies • Government Agencies • Employers and Private Exchanges • Providers • Hospitals, Physician Practices, and IDNs • Post-acute Organizations • Ambulatory Settings • ACOs, HIEs, MCOs, and TPAs

Global Healthcare or Medical Analytics Market By Geography:

• North America • Europe • Asia Pacific • Middle East & Africa • Latin America

Key Players Operated in Market Includes:

• Citiustech • Wipro • Vitreoshealth • Verscend Technologies • SAS Institute • Scio Health Analytics • Oracle • Optum • Medeanalytics • Mckesson • Inovalon • IBM • Health Catalyst • Cerner • Allscripts Healthcare Solutions • Citius Tech • Verisk • Medai • Truven Health Global Healthcare IT Market 

Table of Contents

Global Healthcare or Medical Analytics Market

1. Preface 1.1. Report Scope and Market Segmentation 1.2. Research Highlights 1.3. Research Objectives 2. Assumptions and Research Methodology 2.1. Report Assumptions 2.2. Abbreviations 2.3. Research Methodology 2.3.1. Secondary Research 2.3.1.1. Secondary data 2.3.1.2. Secondary Sources 2.3.2. Primary Research 2.3.2.1. Data from Primary Sources 2.3.2.2. Breakdown of Primary Sources 3. Executive Summary: Global Predictive Analytics Market Size, by Market Value (US$ Bn) 4. Market Overview 4.1. Introduction 4.2. Market Indicator 4.2.1. Drivers 4.2.2. Restraints 4.2.3. Opportunities 4.2.4. Challenges 4.3. Porter’s Analysis 4.4. Value Chain Analysis 4.5. Market Risk Analysis 4.6. SWOT Analysis 4.7. Industry Trends and Emerging Technologies 4.8. Patent Registration 5. Supply Side and Demand Side Indicators 6. Global Predictive Analytics Market Analysis and Forecast 6.1. Global Predictive Analytics Market Size & Y-o-Y Growth Analysis 6.1.1. North America 6.1.2. Europe 6.1.3. Asia Pacific 6.1.4. Middle East & Africa 6.1.5. South America 7. Global Predictive Analytics Market Analysis and Forecast, by Type 7.1. Introduction and Definition 7.2. Key Findings 7.3. Global Predictive Analytics Market Value Share Analysis, by Type 7.4. Global Predictive Analytics Market Size (US$ Bn) Forecast, by Type 7.5. Global Predictive Analytics Market Analysis, by Type 7.6. Global Predictive Analytics Market Attractiveness Analysis, by Type 8. Global Predictive Analytics Market Analysis and Forecast, by Component 8.1. Introduction and Definition 8.2. Key Findings 8.3. Global Predictive Analytics Market Value Share Analysis, by Component 8.4. Global Predictive Analytics Market Size (US$ Bn) Forecast, by Component 8.5. Global Predictive Analytics Market Analysis, by Component 8.6. Global Predictive Analytics Market Attractiveness Analysis, by Component 9. Global Predictive Analytics Market Analysis and Forecast, by Delivery Mode 9.1. Introduction and Definition 9.2. Key Findings 9.3. Global Predictive Analytics Market Value Share Analysis, by Delivery Mode 9.4. Global Predictive Analytics Market Size (US$ Bn) Forecast, by Delivery Mode 9.5. Global Predictive Analytics Market Analysis, by Delivery Mode 9.6. Global Predictive Analytics Market Attractiveness Analysis, by Delivery Mode 10. Global Predictive Analytics Market Analysis and Forecast, by Application 10.1. Introduction and Definition 10.2. Key Findings 10.3. Global Predictive Analytics Market Value Share Analysis, by Application 10.4. Global Predictive Analytics Market Size (US$ Bn) Forecast, by Application 10.5. Global Predictive Analytics Market Analysis, by Application 10.6. Global Predictive Analytics Market Attractiveness Analysis, by Application 11. Global Predictive Analytics Market Analysis and Forecast, by End User 11.1. Introduction and Definition 11.2. Key Findings 11.3. Global Predictive Analytics Market Value Share Analysis, by End User 11.4. Global Predictive Analytics Market Size (US$ Bn) Forecast, by End User 11.5. Global Predictive Analytics Market Analysis, by End User 11.6. Global Predictive Analytics Market Attractiveness Analysis, by End User 12. Global Predictive Analytics Market Analysis, by Region 12.1. Global Predictive Analytics Market Value Share Analysis, by Region 12.2. Global Predictive Analytics Market Size (US$ Bn) Forecast, by Region 12.3. Global Predictive Analytics Market Attractiveness Analysis, by Region 13. North America Predictive Analytics Market Analysis 13.1. Key Findings 13.2. North America Predictive Analytics Market Overview 13.3. North America Predictive Analytics Market Value Share Analysis, by Type 13.4. North America Predictive Analytics Market Forecast, by Type 13.4.1. Descriptive Analytics 13.4.2. Predictive Analytics 13.4.3. Prescriptive Analytics 13.5. North America Predictive Analytics Market Value Share Analysis, by Component 13.6. North America Predictive Analytics Market Forecast, by Component 13.6.1. Hardware 13.6.2. Services 13.6.3. Software 13.7. North America Predictive Analytics Market Value Share Analysis, by Delivery Mode 13.8. North America Predictive Analytics Market Forecast, by Delivery Mode 13.8.1. On-Premise 13.8.2. On-Demand 13.9. North America Predictive Analytics Market Value Share Analysis, by Application 13.10. North America Predictive Analytics Market Forecast, by Application 13.10.1. Clinical Analytics 13.10.2. Financial Analytics 13.10.3. Operational and Administrative Analytics 13.10.4. Population Health Analytics 13.11. North America Predictive Analytics Market Value Share Analysis, by End User 13.12. North America Predictive Analytics Market Forecast, by End User 13.12.1. Payers 13.12.2. Private Insurance Companies 13.12.3. Government Agencies 13.12.4. Employers and Private Exchanges 13.12.5. Providers 13.12.6. Hospitals, Physician Practices, and IDNs 13.12.7. Post-acute Organizations 13.12.8. Ambulatory Settings 13.12.9. ACOs, HIEs, MCOs, and TPAs 13.13. North America Predictive Analytics Market Value Share Analysis, by Country 13.14. North America Predictive Analytics Market Forecast, by Country 13.14.1. U.S. 13.14.2. Canada 13.15. North America Predictive Analytics Market Analysis, by Country 13.16. U.S. Predictive Analytics Market Forecast, by Type 13.16.1. Descriptive Analytics 13.16.2. Predictive Analytics 13.16.3. Prescriptive Analytics 13.17. U.S. Predictive Analytics Market Forecast, by Component 13.17.1. Hardware 13.17.2. Services 13.17.3. Software 13.18. U.S. Predictive Analytics Market Forecast, by Delivery Mode 13.18.1. On-Premise 13.18.2. On-Demand 13.19. U.S. Predictive Analytics Market Forecast, by Application 13.19.1. Clinical Analytics 13.19.2. Financial Analytics 13.19.3. Operational and Administrative Analytics 13.19.4. Population Health Analytics 13.20. U.S. Predictive Analytics Market Forecast, by End User 13.20.1. Payers 13.20.2. Private Insurance Companies 13.20.3. Government Agencies 13.20.4. Employers and Private Exchanges 13.20.5. Providers 13.20.6. Hospitals, Physician Practices, and IDNs 13.20.7. Post-acute Organizations 13.20.8. Ambulatory Settings 13.20.9. ACOs, HIEs, MCOs, and TPAs 13.21. Canada Predictive Analytics Market Forecast, by Type 13.21.1. Descriptive Analytics 13.21.2. Predictive Analytics 13.21.3. Prescriptive Analytics 13.22. Canada Predictive Analytics Market Forecast, by Component 13.22.1. Hardware 13.22.2. Services 13.22.3. Software 13.23. Canada Predictive Analytics Market Forecast, by Delivery Mode 13.23.1. On-Premise 13.23.2. On-Demand 13.24. Canada Predictive Analytics Market Forecast, by Application 13.24.1. Clinical Analytics 13.24.2. Financial Analytics 13.24.3. Operational and Administrative Analytics 13.24.4. Population Health Analytics 13.25. Canada Predictive Analytics Market Forecast, by End User 13.25.1. Payers 13.25.2. Private Insurance Companies 13.25.3. Government Agencies 13.25.4. Employers and Private Exchanges 13.25.5. Providers 13.25.6. Hospitals, Physician Practices, and IDNs 13.25.7. Post-acute Organizations 13.25.8. Ambulatory Settings 13.25.9. ACOs, HIEs, MCOs, and TPAs 13.26. North America Predictive Analytics Market Attractiveness Analysis 13.26.1. By Type 13.26.2. By Component 13.26.3. By Delivery Mode 13.26.4. By Application 13.26.5. By End User 13.27. PEST Analysis 14. Europe Predictive Analytics Market Analysis 14.1. Key Findings 14.2. Europe Predictive Analytics Market Overview 14.3. Europe Predictive Analytics Market Value Share Analysis, by Type 14.4. Europe Predictive Analytics Market Forecast, by Type 14.4.1. Descriptive Analytics 14.4.2. Predictive Analytics 14.4.3. Prescriptive Analytics 14.5. Europe Predictive Analytics Market Value Share Analysis, by Component 14.6. Europe Predictive Analytics Market Forecast, by Component 14.6.1. Hardware 14.6.2. Services 14.6.3. Software 14.7. Europe Predictive Analytics Market Value Share Analysis, by Delivery Mode 14.8. Europe Predictive Analytics Market Forecast, by Delivery Mode 14.8.1. On-Premise 14.8.2. On-Demand 14.9. Europe Predictive Analytics Market Value Share Analysis, by Application 14.10. Europe Predictive Analytics Market Forecast, by Application 14.10.1. Clinical Analytics 14.10.2. Financial Analytics 14.10.3. Operational and Administrative Analytics 14.10.4. Population Health Analytics 14.11. Europe Predictive Analytics Market Value Share Analysis, by End User 14.12. Europe Predictive Analytics Market Forecast, by End User 14.12.1. Payers 14.12.2. Private Insurance Companies 14.12.3. Government Agencies 14.12.4. Employers and Private Exchanges 14.12.5. Providers 14.12.6. Hospitals, Physician Practices, and IDNs 14.12.7. Post-acute Organizations 14.12.8. Ambulatory Settings 14.12.9. ACOs, HIEs, MCOs, and TPAs 14.13. Europe Predictive Analytics Market Value Share Analysis, by Country 14.14. Europe Predictive Analytics Market Forecast, by Country 14.14.1. Germany 14.14.2. U.K. 14.14.3. France 14.14.4. Italy 14.14.5. Spain 14.14.6. Rest of Europe 14.15. Europe Predictive Analytics Market Analysis, by Country 14.16. Germany Predictive Analytics Market Forecast, by Type 14.16.1. Descriptive Analytics 14.16.2. Predictive Analytics 14.16.3. Prescriptive Analytics 14.17. Germany Predictive Analytics Market Forecast, by Component 14.17.1. Hardware 14.17.2. Services 14.17.3. Software 14.18. Germany Predictive Analytics Market Forecast, by Delivery Mode 14.18.1. On-Premise 14.18.2. On-Demand 14.19. Germany Predictive Analytics Market Forecast, by Application 14.19.1. Clinical Analytics 14.19.2. Financial Analytics 14.19.3. Operational and Administrative Analytics 14.19.4. Population Health Analytics 14.20. Germany Predictive Analytics Market Forecast, by End User 14.20.1. Payers 14.20.2. Private Insurance Companies 14.20.3. Government Agencies 14.20.4. Employers and Private Exchanges 14.20.5. Providers 14.20.6. Hospitals, Physician Practices, and IDNs 14.20.7. Post-acute Organizations 14.20.8. Ambulatory Settings 14.20.9. ACOs, HIEs, MCOs, and TPAs 14.21. U.K. Predictive Analytics Market Forecast, by Type 14.21.1. Descriptive Analytics 14.21.2. Predictive Analytics 14.21.3. Prescriptive Analytics 14.22. U.K. Predictive Analytics Market Forecast, by Component 14.22.1. Hardware 14.22.2. Services 14.22.3. Software 14.23. U.K. Predictive Analytics Market Forecast, by Delivery Mode 14.23.1. On-Premise 14.23.2. On-Demand 14.24. U.K. Predictive Analytics Market Forecast, by Application 14.24.1. Clinical Analytics 14.24.2. Financial Analytics 14.24.3. Operational and Administrative Analytics 14.24.4. Population Health Analytics 14.25. U.K. Predictive Analytics Market Forecast, by End User 14.25.1. Payers 14.25.2. Private Insurance Companies 14.25.3. Government Agencies 14.25.4. Employers and Private Exchanges 14.25.5. Providers 14.25.6. Hospitals, Physician Practices, and IDNs 14.25.7. Post-acute Organizations 14.25.8. Ambulatory Settings 14.25.9. ACOs, HIEs, MCOs, and TPAs 14.26. France Predictive Analytics Market Forecast, by Type 14.26.1. Descriptive Analytics 14.26.2. Predictive Analytics 14.26.3. Prescriptive Analytics 14.27. France Predictive Analytics Market Forecast, by Component 14.27.1. Hardware 14.27.2. Services 14.27.3. Software 14.28. France Predictive Analytics Market Forecast, by Delivery Mode 14.28.1. On-Premise 14.28.2. On-Demand 14.29. France Predictive Analytics Market Forecast, by Application 14.29.1. Clinical Analytics 14.29.2. Financial Analytics 14.29.3. Operational and Administrative Analytics 14.29.4. Population Health Analytics 14.30. France Predictive Analytics Market Forecast, by End User 14.30.1. Payers 14.30.2. Private Insurance Companies 14.30.3. Government Agencies 14.30.4. Employers and Private Exchanges 14.30.5. Providers 14.30.6. Hospitals, Physician Practices, and IDNs 14.30.7. Post-acute Organizations 14.30.8. Ambulatory Settings 14.30.9. ACOs, HIEs, MCOs, and TPAs 14.31. Italy Predictive Analytics Market Forecast, by Type 14.31.1. Descriptive Analytics 14.31.2. Predictive Analytics 14.31.3. Prescriptive Analytics 14.32. Italy Predictive Analytics Market Forecast, by Component 14.32.1. Hardware 14.32.2. Services 14.32.3. Software 14.33. Italy Predictive Analytics Market Forecast, by Delivery Mode 14.33.1. On-Premise 14.33.2. On-Demand 14.34. Italy Predictive Analytics Market Forecast, by Application 14.34.1. Clinical Analytics 14.34.2. Financial Analytics 14.34.3. Operational and Administrative Analytics 14.34.4. Population Health Analytics 14.35. Italy Predictive Analytics Market Forecast, by End User 14.35.1. Payers 14.35.2. Private Insurance Companies 14.35.3. Government Agencies 14.35.4. Employers and Private Exchanges 14.35.5. Providers 14.35.6. Hospitals, Physician Practices, and IDNs 14.35.7. Post-acute Organizations 14.35.8. Ambulatory Settings 14.35.9. ACOs, HIEs, MCOs, and TPAs 14.36. Spain Predictive Analytics Market Forecast, by Type 14.36.1. Descriptive Analytics 14.36.2. Predictive Analytics 14.36.3. Prescriptive Analytics 14.37. Spain Predictive Analytics Market Forecast, by Component 14.37.1. Hardware 14.37.2. Services 14.37.3. Software 14.38. Spain Predictive Analytics Market Forecast, by Delivery Mode 14.38.1. On-Premise 14.38.2. On-Demand 14.39. Spain Predictive Analytics Market Forecast, by Application 14.39.1. Clinical Analytics 14.39.2. Financial Analytics 14.39.3. Operational and Administrative Analytics 14.39.4. Population Health Analytics 14.40. Spain Predictive Analytics Market Forecast, by End User 14.40.1. Payers 14.40.2. Private Insurance Companies 14.40.3. Government Agencies 14.40.4. Employers and Private Exchanges 14.40.5. Providers 14.40.6. Hospitals, Physician Practices, and IDNs 14.40.7. Post-acute Organizations 14.40.8. Ambulatory Settings 14.40.9. ACOs, HIEs, MCOs, and TPAs 14.41. Rest of Europe Predictive Analytics Market Forecast, by Type 14.41.1. Descriptive Analytics 14.41.2. Predictive Analytics 14.41.3. Prescriptive Analytics 14.42. Rest of Europe Predictive Analytics Market Forecast, by Component 14.42.1. Hardware 14.42.2. Services 14.42.3. Software 14.43. Rest of Europe Predictive Analytics Market Forecast, by Delivery Mode 14.43.1. On-Premise 14.43.2. On-Demand 14.44. Rest Of Europe Predictive Analytics Market Forecast, by Application 14.44.1. Clinical Analytics 14.44.2. Financial Analytics 14.44.3. Operational and Administrative Analytics 14.44.4. Population Health Analytics 14.45. Rest Of Europe Predictive Analytics Market Forecast, by End User 14.45.1. Payers 14.45.2. Private Insurance Companies 14.45.3. Government Agencies 14.45.4. Employers and Private Exchanges 14.45.5. Providers 14.45.6. Hospitals, Physician Practices, and IDNs 14.45.7. Post-acute Organizations 14.45.8. Ambulatory Settings 14.45.9. ACOs, HIEs, MCOs, and TPAs 14.46. Europe Predictive Analytics Market Attractiveness Analysis 14.46.1. By Type 14.46.2. By Component 14.46.3. By Delivery Mode 14.46.4. By Application 14.46.5. By End User 14.47. PEST Analysis 15. Asia Pacific Predictive Analytics Market Analysis 15.1. Key Findings 15.2. Asia Pacific Predictive Analytics Market Overview 15.3. Asia Pacific Predictive Analytics Market Value Share Analysis, by Type 15.4. Asia Pacific Predictive Analytics Market Forecast, by Type 15.4.1. Descriptive Analytics 15.4.2. Predictive Analytics 15.4.3. Prescriptive Analytics 15.5. Asia Pacific Predictive Analytics Market Value Share Analysis, by Component 15.6. Asia Pacific Predictive Analytics Market Forecast, by Component 15.6.1. Hardware 15.6.2. Services 15.6.3. Software 15.7. Asia Pacific Predictive Analytics Market Value Share Analysis, by Delivery Mode 15.8. Asia Pacific Predictive Analytics Market Forecast, by Delivery Mode 15.8.1. On-Premise 15.8.2. On-Demand 15.9. Asia Pacific Predictive Analytics Market Value Share Analysis, by Application 15.10. Asia Pacific Predictive Analytics Market Forecast, by Application 15.10.1. Clinical Analytics 15.10.2. Financial Analytics 15.10.3. Operational and Administrative Analytics 15.10.4. Population Health Analytics 15.11. Asia Pacific Predictive Analytics Market Value Share Analysis, by End User 15.12. Asia Pacific Predictive Analytics Market Forecast, by End User 15.12.1. Payers 15.12.2. Private Insurance Companies 15.12.3. Government Agencies 15.12.4. Employers and Private Exchanges 15.12.5. Providers 15.12.6. Hospitals, Physician Practices, and IDNs 15.12.7. Post-acute Organizations 15.12.8. Ambulatory Settings 15.12.9. ACOs, HIEs, MCOs, and TPAs 15.13. Asia Pacific Predictive Analytics Market Value Share Analysis, by Country 15.14. Asia Pacific Predictive Analytics Market Forecast, by Country 15.14.1. China 15.14.2. India 15.14.3. Japan 15.14.4. ASEAN 15.14.5. Rest of Asia Pacific 15.15. Asia Pacific Predictive Analytics Market Analysis, by Country 15.16. China Predictive Analytics Market Forecast, by Type 15.16.1. Descriptive Analytics 15.16.2. Predictive Analytics 15.16.3. Prescriptive Analytics 15.17. China Predictive Analytics Market Forecast, by Component 15.17.1. Hardware 15.17.2. Services 15.17.3. Software 15.18. China Predictive Analytics Market Forecast, by Delivery Mode 15.18.1. On-Premise 15.18.2. On-Demand 15.19. China Predictive Analytics Market Forecast, by Application 15.19.1. Clinical Analytics 15.19.2. Financial Analytics 15.19.3. Operational and Administrative Analytics 15.19.4. Population Health Analytics 15.20. China Predictive Analytics Market Forecast, by End User 15.20.1. Payers 15.20.2. Private Insurance Companies 15.20.3. Government Agencies 15.20.4. Employers and Private Exchanges 15.20.5. Providers 15.20.6. Hospitals, Physician Practices, and IDNs 15.20.7. Post-acute Organizations 15.20.8. Ambulatory Settings 15.20.9. ACOs, HIEs, MCOs, and TPAs 15.21. India Predictive Analytics Market Forecast, by Type 15.21.1. Descriptive Analytics 15.21.2. Predictive Analytics 15.21.3. Prescriptive Analytics 15.22. India Predictive Analytics Market Forecast, by Component 15.22.1. Hardware 15.22.2. Services 15.22.3. Software 15.23. India Predictive Analytics Market Forecast, by Delivery Mode 15.23.1. On-Premise 15.23.2. On-Demand 15.24. India Predictive Analytics Market Forecast, by Application 15.24.1. Clinical Analytics 15.24.2. Financial Analytics 15.24.3. Operational and Administrative Analytics 15.24.4. Population Health Analytics 15.25. India Predictive Analytics Market Forecast, by End User 15.25.1. Payers 15.25.2. Private Insurance Companies 15.25.3. Government Agencies 15.25.4. Employers and Private Exchanges 15.25.5. Providers 15.25.6. Hospitals, Physician Practices, and IDNs 15.25.7. Post-acute Organizations 15.25.8. Ambulatory Settings 15.25.9. ACOs, HIEs, MCOs, and TPAs 15.26. Japan Predictive Analytics Market Forecast, by Type 15.26.1. Descriptive Analytics 15.26.2. Predictive Analytics 15.26.3. Prescriptive Analytics 15.27. Japan Predictive Analytics Market Forecast, by Component 15.27.1. Hardware 15.27.2. Services 15.27.3. Software 15.28. Japan Predictive Analytics Market Forecast, by Delivery Mode 15.28.1. On-Premise 15.28.2. On-Demand 15.29. Japan Predictive Analytics Market Forecast, by Application 15.29.1. Clinical Analytics 15.29.2. Financial Analytics 15.29.3. Operational and Administrative Analytics 15.29.4. Population Health Analytics 15.30. Japan Predictive Analytics Market Forecast, by End User 15.30.1. Payers 15.30.2. Private Insurance Companies 15.30.3. Government Agencies 15.30.4. Employers and Private Exchanges 15.30.5. Providers 15.30.6. Hospitals, Physician Practices, and IDNs 15.30.7. Post-acute Organizations 15.30.8. Ambulatory Settings 15.30.9. ACOs, HIEs, MCOs, and TPAs 15.31. ASEAN Predictive Analytics Market Forecast, by Type 15.31.1. Descriptive Analytics 15.31.2. Predictive Analytics 15.31.3. Prescriptive Analytics 15.32. ASEAN Predictive Analytics Market Forecast, by Component 15.32.1. Hardware 15.32.2. Services 15.32.3. Software 15.33. ASEAN Predictive Analytics Market Forecast, by Delivery Mode 15.33.1. On-Premise 15.33.2. On-Demand 15.34. ASEAN Predictive Analytics Market Forecast, by Application 15.34.1. Clinical Analytics 15.34.2. Financial Analytics 15.34.3. Operational and Administrative Analytics 15.34.4. Population Health Analytics 15.35. ASEAN Predictive Analytics Market Forecast, by End User 15.35.1. Payers 15.35.2. Private Insurance Companies 15.35.3. Government Agencies 15.35.4. Employers and Private Exchanges 15.35.5. Providers 15.35.6. Hospitals, Physician Practices, and IDNs 15.35.7. Post-acute Organizations 15.35.8. Ambulatory Settings 15.35.9. ACOs, HIEs, MCOs, and TPAs 15.36. Rest of Asia Pacific Predictive Analytics Market Forecast, by Type 15.36.1. Descriptive Analytics 15.36.2. Predictive Analytics 15.36.3. Prescriptive Analytics 15.37. Rest of Asia Pacific Predictive Analytics Market Forecast, by Component 15.37.1. Hardware 15.37.2. Services 15.37.3. Software 15.38. Rest of Asia Pacific Predictive Analytics Market Forecast, by Delivery Mode 15.38.1. On-Premise 15.38.2. On-Demand 15.39. Rest of Asia Pacific Predictive Analytics Market Forecast, by Application 15.39.1. Clinical Analytics 15.39.2. Financial Analytics 15.39.3. Operational and Administrative Analytics 15.39.4. Population Health Analytics 15.40. Rest of Asia Pacific Predictive Analytics Market Forecast, by End User 15.40.1. Payers 15.40.2. Private Insurance Companies 15.40.3. Government Agencies 15.40.4. Employers and Private Exchanges 15.40.5. Providers 15.40.6. Hospitals, Physician Practices, and IDNs 15.40.7. Post-acute Organizations 15.40.8. Ambulatory Settings 15.40.9. ACOs, HIEs, MCOs, and TPAs 15.41. Asia Pacific Predictive Analytics Market Attractiveness Analysis 15.41.1. By Type 15.41.2. By Component 15.41.3. By Delivery Mode 15.41.4. By Application 15.41.5. By End User 15.42. PEST Analysis 16. Middle East & Africa Predictive Analytics Market Analysis 16.1. Key Findings 16.2. Middle East & Africa Predictive Analytics Market Overview 16.3. Middle East & Africa Predictive Analytics Market Value Share Analysis, by Type 16.4. Middle East & Africa Predictive Analytics Market Forecast, by Type 16.4.1. Descriptive Analytics 16.4.2. Predictive Analytics 16.4.3. Prescriptive Analytics 16.5. Middle East & Africa Predictive Analytics Market Value Share Analysis, by Component 16.6. Middle East & Africa Predictive Analytics Market Forecast, by Component 16.6.1. Hardware 16.6.2. Services 16.6.3. Software 16.7. Middle East & Africa Predictive Analytics Market Value Share Analysis, by Delivery Mode 16.8. Middle East & Africa Predictive Analytics Market Forecast, by Delivery Mode 16.8.1. On-Premise 16.8.2. On-Demand 16.9. Middle East & Africa Predictive Analytics Market Value Share Analysis, by Application 16.10. Middle East & Africa Predictive Analytics Market Forecast, by Application 16.10.1. Clinical Analytics 16.10.2. Financial Analytics 16.10.3. Operational and Administrative Analytics 16.10.4. Population Health Analytics 16.11. Middle East & Africa Predictive Analytics Market Value Share Analysis, by End User 16.12. Middle East & Africa Predictive Analytics Market Forecast, by End User 16.12.1. Payers 16.12.2. Private Insurance Companies 16.12.3. Government Agencies 16.12.4. Employers and Private Exchanges 16.12.5. Providers 16.12.6. Hospitals, Physician Practices, and IDNs 16.12.7. Post-acute Organizations 16.12.8. Ambulatory Settings 16.12.9. ACOs, HIEs, MCOs, and TPAs 16.13. Middle East & Africa Predictive Analytics Market Value Share Analysis, by Country 16.14. Middle East & Africa Predictive Analytics Market Forecast, by Country 16.14.1. GCC 16.14.2. South Africa 16.14.3. Rest of Middle East & Africa 16.15. Middle East & Africa Predictive Analytics Market Analysis, by Country 16.16. GCC Predictive Analytics Market Forecast, by Type 16.16.1. Descriptive Analytics 16.16.2. Predictive Analytics 16.16.3. Prescriptive Analytics 16.17. GCC Predictive Analytics Market Forecast, by Component 16.17.1. Hardware 16.17.2. Services 16.17.3. Software 16.18. GCC Predictive Analytics Market Forecast, by Delivery Mode 16.18.1. On-Premise 16.18.2. On-Demand 16.19. GCC Predictive Analytics Market Forecast, by Application 16.19.1. Clinical Analytics 16.19.2. Financial Analytics 16.19.3. Operational and Administrative Analytics 16.19.4. Population Health Analytics 16.20. GCC Predictive Analytics Market Forecast, by End User 16.20.1. Payers 16.20.2. Private Insurance Companies 16.20.3. Government Agencies 16.20.4. Employers and Private Exchanges 16.20.5. Providers 16.20.6. Hospitals, Physician Practices, and IDNs 16.20.7. Post-acute Organizations 16.20.8. Ambulatory Settings 16.20.9. ACOs, HIEs, MCOs, and TPAs 16.21. South Africa Predictive Analytics Market Forecast, by Type 16.21.1. Descriptive Analytics 16.21.2. Predictive Analytics 16.21.3. Prescriptive Analytics 16.22. South Africa Predictive Analytics Market Forecast, by Component 16.22.1. Hardware 16.22.2. Services 16.22.3. Software 16.23. South Africa Predictive Analytics Market Forecast, by Delivery Mode 16.23.1. On-Premise 16.23.2. On-Demand 16.24. South Africa Predictive Analytics Market Forecast, by Application 16.24.1. Clinical Analytics 16.24.2. Financial Analytics 16.24.3. Operational and Administrative Analytics 16.24.4. Population Health Analytics 16.25. South Africa Predictive Analytics Market Forecast, by End User 16.25.1. Payers 16.25.2. Private Insurance Companies 16.25.3. Government Agencies 16.25.4. Employers and Private Exchanges 16.25.5. Providers 16.25.6. Hospitals, Physician Practices, and IDNs 16.25.7. Post-acute Organizations 16.25.8. Ambulatory Settings 16.25.9. ACOs, HIEs, MCOs, and TPAs 16.26. Rest of Middle East & Africa Predictive Analytics Market Forecast, by Type 16.26.1. Descriptive Analytics 16.26.2. Predictive Analytics 16.26.3. Prescriptive Analytics 16.27. Rest of Middle East & Africa Predictive Analytics Market Forecast, by Component 16.27.1. Hardware 16.27.2. Services 16.27.3. Software 16.28. Rest of Middle East & Africa Predictive Analytics Market Forecast, by Delivery Mode 16.28.1. On-Premise 16.28.2. On-Demand 16.29. Rest of Middle East & Africa Predictive Analytics Market Forecast, by Application 16.29.1. Clinical Analytics 16.29.2. Financial Analytics 16.29.3. Operational and Administrative Analytics 16.29.4. Population Health Analytics 16.30. Rest of Middle East & Africa Predictive Analytics Market Forecast, by End User 16.30.1. Payers 16.30.2. Private Insurance Companies 16.30.3. Government Agencies 16.30.4. Employers and Private Exchanges 16.30.5. Providers 16.30.6. Hospitals, Physician Practices, and IDNs 16.30.7. Post-acute Organizations 16.30.8. Ambulatory Settings 16.30.9. ACOs, HIEs, MCOs, and TPAs 16.31. Middle East & Africa Predictive Analytics Market Attractiveness Analysis 16.31.1. By Type 16.31.2. By Component 16.31.3. By Delivery Mode 16.31.4. By Application 16.31.5. By End User 16.32. PEST Analysis 17. South America Predictive Analytics Market Analysis 17.1. Key Findings 17.2. South America Predictive Analytics Market Overview 17.3. South America Predictive Analytics Market Value Share Analysis, by Type 17.4. South America Predictive Analytics Market Forecast, by Type 17.4.1. Descriptive Analytics 17.4.2. Predictive Analytics 17.4.3. Prescriptive Analytics 17.5. South America Predictive Analytics Market Value Share Analysis, by Component 17.6. South America Predictive Analytics Market Forecast, by Component 17.6.1. Hardware 17.6.2. Services 17.6.3. Software 17.7. South America Predictive Analytics Market Value Share Analysis, by Delivery Mode 17.8. South America Predictive Analytics Market Forecast, by Delivery Mode 17.8.1. On-Premise 17.8.2. On-Demand 17.9. South America Predictive Analytics Market Value Share Analysis, by Application 17.10. South America Predictive Analytics Market Forecast, by Application 17.10.1. Clinical Analytics 17.10.2. Financial Analytics 17.10.3. Operational and Administrative Analytics 17.10.4. Population Health Analytics 17.11. South America Predictive Analytics Market Value Share Analysis, by End User 17.12. South America Predictive Analytics Market Forecast, by End User 17.12.1. Payers 17.12.2. Private Insurance Companies 17.12.3. Government Agencies 17.12.4. Employers and Private Exchanges 17.12.5. Providers 17.12.6. Hospitals, Physician Practices, and IDNs 17.12.7. Post-acute Organizations 17.12.8. Ambulatory Settings 17.12.9. ACOs, HIEs, MCOs, and TPAs 17.13. South America Predictive Analytics Market Value Share Analysis, by Country 17.14. South America Predictive Analytics Market Forecast, by Country 17.14.1. Brazil 17.14.2. Mexico 17.14.3. Rest of South America 17.15. South America Predictive Analytics Market Analysis, by Country 17.16. Brazil Predictive Analytics Market Forecast, by Type 17.16.1. Descriptive Analytics 17.16.2. Predictive Analytics 17.16.3. Prescriptive Analytics 17.17. Brazil Predictive Analytics Market Forecast, by Component 17.17.1. Hardware 17.17.2. Services 17.17.3. Software 17.18. Brazil Predictive Analytics Market Forecast, by Delivery Mode 17.18.1. On-Premise 17.18.2. On-Demand 17.19. Brazil Predictive Analytics Market Forecast, by Application 17.19.1. Clinical Analytics 17.19.2. Financial Analytics 17.19.3. Operational and Administrative Analytics 17.19.4. Population Health Analytics 17.20. Brazil Predictive Analytics Market Forecast, by End User 17.20.1. Payers 17.20.2. Private Insurance Companies 17.20.3. Government Agencies 17.20.4. Employers and Private Exchanges 17.20.5. Providers 17.20.6. Hospitals, Physician Practices, and IDNs 17.20.7. Post-acute Organizations 17.20.8. Ambulatory Settings 17.20.9. ACOs, HIEs, MCOs, and TPAs 17.21. Mexico Predictive Analytics Market Forecast, by Type 17.21.1. Descriptive Analytics 17.21.2. Predictive Analytics 17.21.3. Prescriptive Analytics 17.22. Mexico Predictive Analytics Market Forecast, by Component 17.22.1. Hardware 17.22.2. Services 17.22.3. Software 17.23. Mexico Predictive Analytics Market Forecast, by Delivery Mode 17.23.1. On-Premise 17.23.2. On-Demand 17.24. Mexico Predictive Analytics Market Forecast, by Application 17.24.1. Clinical Analytics 17.24.2. Financial Analytics 17.24.3. Operational and Administrative Analytics 17.24.4. Population Health Analytics 17.25. Mexico Predictive Analytics Market Forecast, by End User 17.25.1. Payers 17.25.2. Private Insurance Companies 17.25.3. Government Agencies 17.25.4. Employers and Private Exchanges 17.25.5. Providers 17.25.6. Hospitals, Physician Practices, and IDNs 17.25.7. Post-acute Organizations 17.25.8. Ambulatory Settings 17.25.9. ACOs, HIEs, MCOs, and TPAs 17.26. Rest of South America Predictive Analytics Market Forecast, by Type 17.26.1. Descriptive Analytics 17.26.2. Predictive Analytics 17.26.3. Prescriptive Analytics 17.27. Rest of South America Predictive Analytics Market Forecast, by Component 17.27.1. Hardware 17.27.2. Services 17.27.3. Software 17.28. Rest of South America Predictive Analytics Market Forecast, by Delivery Mode 17.28.1. On-Premise 17.28.2. On-Demand 17.29. Rest of South America Predictive Analytics Market Forecast, by Application 17.29.1. Clinical Analytics 17.29.2. Financial Analytics 17.29.3. Operational and Administrative Analytics 17.29.4. Population Health Analytics 17.30. Rest of South America Predictive Analytics Market Forecast, by End User 17.30.1. Payers 17.30.2. Private Insurance Companies 17.30.3. Government Agencies 17.30.4. Employers and Private Exchanges 17.30.5. Providers 17.30.6. Hospitals, Physician Practices, and IDNs 17.30.7. Post-acute Organizations 17.30.8. Ambulatory Settings 17.30.9. ACOs, HIEs, MCOs, and TPAs 17.31. South America Predictive Analytics Market Attractiveness Analysis 17.31.1. By Type 17.31.2. By Component 17.31.3. By Delivery Mode 17.31.4. By Application 17.31.5. By End User 17.32. PEST Analysis 18. Company Profiles 18.1. Market Share Analysis, by Company 18.2. Competition Matrix 18.2.1. Competitive Benchmarking of key players by price, presence, market share, Applications and R&D investment 18.2.2. New Product Launches and Product Enhancements 18.2.3. Market Consolidation 18.2.3.1. M&A by Regions, Investment and Applications 18.2.3.2. M&A Key Players, Forward Integration and Backward Integration 18.3. Company Profiles: Key Players 18.3.1. Citiustech 18.3.1.1. Company Overview 18.3.1.2. Financial Overview 18.3.1.3. Product Portfolio 18.3.1.4. Business Strategy 18.3.1.5. Recent Developments 18.3.1.6. Company Footprint 18.3.2. Wipro 18.3.3. Vitreoshealth 18.3.4. Verscend Technologies 18.3.5. SAS Institute 18.3.6. Scio Health Analytics 18.3.7. Oracle 18.3.8. Optum 18.3.9. Medeanalytics 18.3.10. Mckesson 18.3.11. Inovalon 18.3.12. IBM 18.3.13. Health Catalyst 18.3.14. Cerner 18.3.15. Allscripts Healthcare Solutions 18.3.16. Citius Tech 18.3.17. Verisk 18.3.18. Medai 18.3.19. Truven Health 19. Primary Key Insights

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Report ID3421
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