Thursday, 1 February 2018

Insights of Big Data in the Healthcare & Pharmaceutical Industry : Technology, Applications, Growth and Status 2018-2030

ResearchMoz presents professional and in-depth study of "Big Data in the Healthcare & Pharmaceutical Industry: 2017 - 2030 - Opportunities, Challenges, Strategies & Forecasts".

“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.

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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.

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.

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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

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

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     Pathology, Medical Imaging & Other Medical Tests
     Proactive & Remote Patient Monitoring
     Predictive Maintenance of Medical Equipment
     Pharmacy Services
     Self-Care & Lifestyle Support

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ResearchMoz
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