Albany, New York, Aug 16, 2017:  “Big Data” originally emerged as a term to describe datasets whose size is beyond the ability of traditional databases to capture, store, manage and analyze. However, the scope of the term has significantly expanded over the years. Big Data not only refers to the data itself but also a set of technologies that capture, store, manage and analyze large and variable collections of data, to solve complex problems.

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Amid the proliferation of real-time and historical data from sources such as connected devices, web, social media, sensors, log files and transactional applications, Big Data is rapidly gaining traction from a diverse range of vertical sectors. The healthcare and pharmaceutical industry is no exception to this trend, where Big Data has found a host of applications ranging from drug discovery and precision medicine to clinical decision support and population health management.

 

SNS Research estimates that “Big Data investments in the healthcare and pharmaceutical industry” will account for nearly $4 Billion in 2017 alone.  Led by a plethora of business opportunities for healthcare providers, insurers, payers, government agencies, pharmaceutical companies and other stakeholders, these investments are further expected to grow at a CAGR of more than 15% over the next three years.

 

The “Big Data in the Healthcare & Pharmaceutical Industry: 2017 – 2030 – Opportunities, Challenges, Strategies & Forecasts” report presents an in-depth assessment of Big Data in the healthcare and pharmaceutical industry including key market drivers, challenges, investment potential, application areas, use cases, future roadmap, value chain, case studies, vendor profiles and strategies. The report also presents market size forecasts for Big Data hardware, software and professional services investments from 2017 through to 2030. The forecasts are segmented for 8 horizontal submarkets, 5 application areas, 36 use cases, 6 regions and 35 countries.

 

The report comes with an associated Excel datasheet suite covering quantitative data from all numeric forecasts presented in the report.

 

The report covers the following topics:

 

 Big Data ecosystem

 Market drivers and barriers

 Enabling technologies, standardization and regulatory initiatives

 Big Data analytics and implementation models

 Business case, application areas and use cases in the healthcare and pharmaceutical industry

 34 case studies of Big Data investments by healthcare providers, insurers, payers, pharmaceutical companies and other stakeholders

 Future roadmap and value chain

 Company profiles and strategies of over 240 Big Data vendors

 Strategic recommendations for Big Data vendors, and healthcare and pharmaceutical industry stakeholders

 Market analysis and forecasts from 2017 till 2030

Forecast Segmentation

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Market forecasts are provided for each of the following submarkets and their subcategories:

 

Hardware, Software & Professional Services

 

 Hardware

 Software

 Professional Services

Horizontal Submarkets

 

 Storage & Compute Infrastructure

 Networking Infrastructure

 Hadoop & Infrastructure Software

 SQL

 NoSQL

 Analytic Platforms & Applications

 Cloud Platforms

 Professional Services

Application Areas

 

 Pharmaceutical & Medical Products

 Core Healthcare Operations

 Healthcare Support, Awareness & Disease Prevention

 Health Insurance & Payer Services

 Marketing, Sales & Other Applications

Use Cases

 

 Drug Discovery, Design & Development

 Medical Product Design & Development

 Clinical Development & Trials

 Precision Medicine & Genomics

 Manufacturing & Supply Chain Management

 Post-Market Surveillance & Pharmacovigilance

 Medical Product Fault Monitoring

 Clinical Decision Support

 Care Coordination & Delivery Management

 CER (Comparative Effectiveness Research) & Observational Evidence

 Personalized Healthcare & Targeted Treatments

 Data-Driven Preventive Care & Health Interventions

 Surgical Practice & Complex Medical Procedures

 Pathology, Medical Imaging & Other Medical Tests

 Proactive & Remote Patient Monitoring

 Predictive Maintenance of Medical Equipment

 Pharmacy Services

 Self-Care & Lifestyle Support

 Medication Adherence & Management

 Vaccine Development & Promotion

 Population Health Management

 Connected Health Communities & Medical Knowledge Dissemination

 Epidemiology & Disease Surveillance

 Health Policy Decision Making

 Controlling Substance Abuse & Addiction

 Increasing Awareness & Accessible Healthcare

 Health Insurance Claims Processing & Management

 Fraud & Abuse Prevention

 Proactive Patient Engagement

 Accountable & Value-Based Care

 Data-Driven Health Insurance Premiums

 Marketing & Sales

 Administrative & Customer Services

 Finance & Risk Management

 Healthcare Data Monetization

 Other Use Cases

Regional Markets

 

 Asia Pacific

 Eastern Europe

 Latin & Central America

 Middle East & Africa

 North America

 Western Europe

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