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