|Report ID : RNR-140613||Category : Pharma Healthcare||Published Date : July 2017|
|Publisher : Stratistics MRC||Pages : 185||Format : PDF|
The healthcare analytics technology, which extensively uses data for quantitative and qualitative analysis, is undergoing an industry transformation from volume-based medicines and reimbursement to value-based medicines and reimbursement. Descriptive analytics can be defined as the ability to collect and analyze historical data and past events, including summaries of hospitalizations, number of disease cases, the length of stay in hospitals and list of used medicines and drugs to gain meaningful insights. Descriptive analytics provides a clear understanding of what has happened in the past and its visualization through key performance metrics or other data in the report or dashboard describing the current situation and past performance. Key Drivers Some of the key driving factors for this market are: Government interest in creating an integrated database of every patient by implementing policies like e-health record, e-medical record etc. Emergence of personalized medicine where every patient or group of patient is treated differently based on their background or history Need to increase efficiency of current medical practices to make healthcare accessible to all Integration of big data in healthcare Technological advancements Expansion of healthcare IT Restraints The technology also has certain constraints to overcome, such as: High cost of initial investments Lack of properly trained IT professionals in healthcare Healthcare providers' reluctance to share data with the third party (analytics firm). Data integrity and safety concerns Opportunities The technology has several opportunities as well. These include: Introduction and implementation of Electronic Health Records (EHR) Rising investments in venture capital funds Implementation of trends in the medical-IT field, such as precision medicines, EHR, analytics-driven personalized medicines, clinical DSS, health and disease management, and so on. The global healthcare descriptive analytics market is segmented on the basis of application (clinical data analytics, financial data analytics, administrative data analytics, and research data analytics), component (software, hardware, and services), deployment (on-premise model and cloud-based model), end-user (private organization (hospitals, clinics, physicians), government organization, NGOs and research institutions), and geography (North America, Europe, Asia-Pacific, Middle East & Africa and Latin America). Currently, the descriptive analytics segment accounts for the largest market share of 72% in the global healthcare technology but its share may decrease if growing economies don't compensate for the loss in developed countries where the technology is shifting towards more advanced technology like predictive and prescriptive analytics. By application, the clinical analytics segment is forecasted to have the highest growth rate. Although the market growth of the cloud-based services segment is increasing substantially, the on-premise delivery system segment still accounts for the largest share due to its multi-vendor framework. This kind of architecture usually ensures the safety of data and transactions from attacks.
1. Introduction 1.1. Study deliverables 1.2. Market Definition 1.3. Sizing Units 1.4. Base Currency 1.5. Review and forecast period years 1.6. General Study Assumptions 1.7 Report Description 2. Research Methodology 2.1. Introduction 2.2. Analysis Methodology 2.3. Econometric forecast models 2.4. Research Assumptions 3. Executive Summary 4. Key Inferences 5. Market Overview & Industry Trends 5.1. Current market scenario 5.2. Technology Overview 5.3. New developments 5.4. Investment analysis 5.5. Porter's Five Force Analysis 5.5.1 Bargaining Power of suppliers 5.5.2 Bargaining power of buyers 5.5.3 Degree of competition 5.5.4 Threat of substitution 5.5.5 Threat of new entrants 6. Drivers, Restraints, Opportunities & Challenges Analysis (DROC) 6.1. Market Drivers 6.1.1 Favorable policy implementation (e.g.- Introduction and implementation of EHR) 6.1.2 Integration of big data in healthcare 6.1.3 Growing need of increasing efficiency of healthcare sector 6.1.4 Emergence of personalized medicine 6.2. Market Restraints 6.2.1 High cost of initial investment 6.2.2 Lack of properly trained IT professionals in healthcare 6.2.3 Data security and privacy concerns 6.3 Market Opportunities 6.3.1 Expansion of healthcare IT 6.3.2 Emerging economies and growing importance of healthcare in these countries 6.4. Key Challenges 6.4.1 Data storage, maintenance, and security 7. Global Healthcare Descriptive Analytics Market Segmentation 7.1 By Application 7.1.1 Clinical Data Analytics 7.1.2 Financial Data Analytics 7.1.3 Administrative Data Analytics 7.1.4 Research Data Analytics 7.2 By Component 7.2.1 Software 7.2.2 Hardware 7.2.3 Services 7.3 By Deployment 7.3.1 On-Premise 7.3.2 Web- based 7.3.3 Cloud based 7.4 By End-User 7.4.1 Private organization 184.108.40.206 Hospitals 220.127.116.11 Physicians 18.104.22.168 Clinics 7.4.2 Government organization 7.4.3 NGOs 7.4.4 Research institution 8. Global Healthcare Descriptive Analytics Market by Geography - Regional shares and forecast 8.1 North America 8.1.1 USA 8.1.2 Canada 8.1.3 Mexico 8.2 Europe 8.2.1 UK 8.2.2 Germany 8.2.3 France 8.2.4 Spain & Portugal 8.2.5 Italy 8.2.6 Scandinavia 8.2.7 Benelux 8.3 Asia-Pacific 8.3.1 China 8.3.2 Japan 8.3.3 India 8.3.4 South Korea 8.3.5 Australia 8.4. Middle East and North Africa (MENA) 8.4.1 GCC 8.4.2. Egypt 8.4.3. Sudan 8.4.4. Morocco 8.4.5. Algeria 8.5. Latin America 8.5.1Argentina 8.5.2. Brazil 8.5.3. Chile 9. Competitive Landscape 9.1 Mergers & Acquisitions 9.2 New Product Launches 9.3 Agreements, Collaborations & Partnerships 10. Key Vendors 10.1 IBM 10.2 Cerner 10.3 Oracle 10.4 McKesson Corporation 10.5 Medeanalytics, Inc. 10.6 Optum, Inc. 10.7 Allscripts Healthcare solutions, Inc. 10.8 Truven Healthanalytics, Inc. 10.9 Verisk Analytics 10.10 MEDai's Health 11. Analyst outlook for Investment Opportunities 12. Future outlook of the market 13. Appendix 13.1 Abbreviations 13.2 Bibliography 13.3 Disclaimer