Big Data in the Healthcare & Pharmaceutical Market 2018 Global Analysis By Key Players – Accenture, Algorithmia, Arcadia Data, Boxever, Contexti, Eligotech
WiseGuyReports.Com Publish a New Market Research Report On –“ Big Data in the Healthcare & Pharmaceutical Market 2018 Global Analysis By Key Players – Accenture, Algorithmia, Arcadia Data, Boxever, Contexti, Eligotech”.
Pune, India – April 30, 2018 /MarketersMedia/ —
Description:
“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.
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.
Researcher 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.
Topics Covered
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
– 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
…….
Report Details @ https://www.wiseguyreports.com/reports/1696438-big-data-in-the-healthcare-pharmaceutical-industry-2017-2030-opportunities-challenges
Table Of Contents – Major Key Points
Chapter 1: Introduction
Executive Summary
Topics Covered
Forecast Segmentation
Key Questions Answered
Key Findings
Methodology
Target Audience
Companies & Organizations Mentioned
Chapter 2: An Overview of Big Data
What is Big Data?
Key Approaches to Big Data Processing
Hadoop
NoSQL
MPAD (Massively Parallel Analytic Databases)
In-Memory Processing
Stream Processing Technologies
Spark
Other Databases & Analytic Technologies
Key Characteristics of Big Data
Volume
Velocity
Variety
Value
Market Growth Drivers
Awareness of Benefits
Maturation of Big Data Platforms
Continued Investments by Web Giants, Governments & Enterprises
Growth of Data Volume, Velocity & Variety
Vendor Commitments & Partnerships
Technology Trends Lowering Entry Barriers
Market Barriers
Lack of Analytic Specialists
Uncertain Big Data Strategies
Organizational Resistance to Big Data Adoption
Technical Challenges: Scalability & Maintenance
Security & Privacy Concerns
Chapter 3: Big Data Analytics
What are Big Data Analytics?
The Importance of Analytics
Reactive vs. Proactive Analytics
Customer vs. Operational Analytics
Technology & Implementation Approaches
Grid Computing
In-Database Processing
In-Memory Analytics
Machine Learning & Data Mining
Predictive Analytics
NLP (Natural Language Processing)
Text Analytics
Visual Analytics
Graph Analytics
Social Media, IT & Telco Network Analytics
Continue…..
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