Know Facts of Big Data in the Healthcare & Pharmaceutical Industry with, new developments, major strategies adopted by the well-known players
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.
(EMAILWIRE.COM, February 19, 2019 ) 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.
......
Get Discount & Customization of this Report Here:https://www.researchreporthub.com/report/big-data-healthcare-2/39271/
Table Of Content
1 Chapter 1: Introduction
1.1 Executive Summary
1.2 Topics Covered
1.3 Forecast Segmentation
1.4 Key Questions Answered
1.5 Key Findings
1.6 Methodology
1.7 Target Audience
1.8 Companies & Organizations Mentioned
2 Chapter 2: An Overview of Big Data
2.1 What is Big Data?
2.2 Key Approaches to Big Data Processing
2.2.1 Hadoop
2.2.2 NoSQL
2.2.3 MPAD (Massively Parallel Analytic Databases)
2.2.4 In-Memory Processing
2.2.5 Stream Processing Technologies
2.2.6 Spark
2.2.7 Other Databases & Analytic Technologies
2.3 Key Characteristics of Big Data
2.3.1 Volume
2.3.2 Velocity
2.3.3 Variety
2.3.4 Value
2.4 Market Growth Drivers
2.4.1 Awareness of Benefits
2.4.2 Maturation of Big Data Platforms
2.4.3 Continued Investments by Web Giants, Governments & Enterprises
2.4.4 Growth of Data Volume, Velocity & Variety
2.4.5 Vendor Commitments & Partnerships
2.4.6 Technology Trends Lowering Entry Barriers
2.5 Market Barriers
2.5.1 Lack of Analytic Specialists
2.5.2 Uncertain Big Data Strategies
2.5.3 Organizational Resistance to Big Data Adoption
2.5.4 Technical Challenges: Scalability & Maintenance
2.5.5 Security & Privacy Concerns
3 Chapter 3: Big Data Analytics
3.1 What are Big Data Analytics?
3.2 The Importance of Analytics
3.3 Reactive vs. Proactive Analytics
3.4 Customer vs. Operational Analytics
3.5 Technology & Implementation Approaches
3.5.1 Grid Computing
3.5.2 In-Database Processing
3.5.3 In-Memory Analytics
3.5.4 Machine Learning & Data Mining
3.5.5 Predictive Analytics
3.5.6 NLP (Natural Language Processing)
3.5.7 Text Analytics
3.5.8 Visual Analytics
3.5.9 Graph Analytics
3.5.10 Social Media, IT & Telco Network Analytics
4 Chapter 4: Business Case & Applications in the Healthcare & Pharmaceutical Industry
4.1 Overview & Investment Potential
4.2 Industry Specific Market Growth Drivers
4.3 Industry Specific Market Barriers
4.4 Key Applications
4.4.1 Pharmaceutical & Medical Products
4.4.1.1 Drug Discovery, Design & Development
4.4.1.2 Medical Product Design & Development
4.4.1.3 Clinical Development & Trials
4.4.1.4 Precision Medicine & Genomics
4.4.1.5 Manufacturing & Supply Chain Management
4.4.1.6 Post-Market Surveillance & Pharmacovigilance
4.4.1.7 Medical Product Fault Monitoring
4.4.2 Core Healthcare Operations
4.4.2.1 Clinical Decision Support
4.4.2.2 Care Coordination & Delivery Management
4.4.2.3 CER (Comparative Effectiveness Research) & Observational Evidence
4.4.2.4 Personalized Healthcare & Targeted Treatments
4.4.2.5 Data-Driven Preventive Care & Health Interventions
4.4.2.6 Surgical Practice & Complex Medical Procedures
4.4.2.7 Pathology, Medical Imaging & Other Medical Tests
4.4.2.8 Proactive & Remote Patient Monitoring
4.4.2.9 Predictive Maintenance of Medical Equipment
4.4.2.10 Pharmacy Services
4.4.3 Healthcare Support, Awareness & Disease Prevention
4.4.3.1 Self-Care & Lifestyle Support
4.4.3.2 Digital Therapeutics
4.4.3.3 Medication Adherence & Management
4.4.3.4 Vaccine Development & Promotion
4.4.3.5 Population Health Management
4.4.3.6 Connected Health Communities & Medical Knowledge Dissemination
4.4.3.7 Epidemiology & Disease Surveillance
4.4.3.8 Health Policy Decision Making
4.4.3.9 Controlling Substance Abuse & Addiction
4.4.3.10 Increasing Awareness & Accessible Healthcare
4.4.4 Health Insurance & Payer Services
4.4.4.1 Health Insurance Claims Processing & Management
4.4.4.2 Fraud & Abuse Prevention
4.4.4.3 Proactive Patient Engagement
4.4.4.4 Accountable & Value-Based Care
4.4.4.5 Data-Driven Health Insurance Premiums
4.4.5 Marketing, Sales & Other Applications
4.4.5.1 Marketing & Sales
4.4.5.2 Administrative & Customer Services
4.4.5.3 Finance & Risk Management
4.4.5.4 Healthcare Data Monetization
4.4.5.5 Other Applications
......
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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.
......
Get Discount & Customization of this Report Here:https://www.researchreporthub.com/report/big-data-healthcare-2/39271/
Table Of Content
1 Chapter 1: Introduction
1.1 Executive Summary
1.2 Topics Covered
1.3 Forecast Segmentation
1.4 Key Questions Answered
1.5 Key Findings
1.6 Methodology
1.7 Target Audience
1.8 Companies & Organizations Mentioned
2 Chapter 2: An Overview of Big Data
2.1 What is Big Data?
2.2 Key Approaches to Big Data Processing
2.2.1 Hadoop
2.2.2 NoSQL
2.2.3 MPAD (Massively Parallel Analytic Databases)
2.2.4 In-Memory Processing
2.2.5 Stream Processing Technologies
2.2.6 Spark
2.2.7 Other Databases & Analytic Technologies
2.3 Key Characteristics of Big Data
2.3.1 Volume
2.3.2 Velocity
2.3.3 Variety
2.3.4 Value
2.4 Market Growth Drivers
2.4.1 Awareness of Benefits
2.4.2 Maturation of Big Data Platforms
2.4.3 Continued Investments by Web Giants, Governments & Enterprises
2.4.4 Growth of Data Volume, Velocity & Variety
2.4.5 Vendor Commitments & Partnerships
2.4.6 Technology Trends Lowering Entry Barriers
2.5 Market Barriers
2.5.1 Lack of Analytic Specialists
2.5.2 Uncertain Big Data Strategies
2.5.3 Organizational Resistance to Big Data Adoption
2.5.4 Technical Challenges: Scalability & Maintenance
2.5.5 Security & Privacy Concerns
3 Chapter 3: Big Data Analytics
3.1 What are Big Data Analytics?
3.2 The Importance of Analytics
3.3 Reactive vs. Proactive Analytics
3.4 Customer vs. Operational Analytics
3.5 Technology & Implementation Approaches
3.5.1 Grid Computing
3.5.2 In-Database Processing
3.5.3 In-Memory Analytics
3.5.4 Machine Learning & Data Mining
3.5.5 Predictive Analytics
3.5.6 NLP (Natural Language Processing)
3.5.7 Text Analytics
3.5.8 Visual Analytics
3.5.9 Graph Analytics
3.5.10 Social Media, IT & Telco Network Analytics
4 Chapter 4: Business Case & Applications in the Healthcare & Pharmaceutical Industry
4.1 Overview & Investment Potential
4.2 Industry Specific Market Growth Drivers
4.3 Industry Specific Market Barriers
4.4 Key Applications
4.4.1 Pharmaceutical & Medical Products
4.4.1.1 Drug Discovery, Design & Development
4.4.1.2 Medical Product Design & Development
4.4.1.3 Clinical Development & Trials
4.4.1.4 Precision Medicine & Genomics
4.4.1.5 Manufacturing & Supply Chain Management
4.4.1.6 Post-Market Surveillance & Pharmacovigilance
4.4.1.7 Medical Product Fault Monitoring
4.4.2 Core Healthcare Operations
4.4.2.1 Clinical Decision Support
4.4.2.2 Care Coordination & Delivery Management
4.4.2.3 CER (Comparative Effectiveness Research) & Observational Evidence
4.4.2.4 Personalized Healthcare & Targeted Treatments
4.4.2.5 Data-Driven Preventive Care & Health Interventions
4.4.2.6 Surgical Practice & Complex Medical Procedures
4.4.2.7 Pathology, Medical Imaging & Other Medical Tests
4.4.2.8 Proactive & Remote Patient Monitoring
4.4.2.9 Predictive Maintenance of Medical Equipment
4.4.2.10 Pharmacy Services
4.4.3 Healthcare Support, Awareness & Disease Prevention
4.4.3.1 Self-Care & Lifestyle Support
4.4.3.2 Digital Therapeutics
4.4.3.3 Medication Adherence & Management
4.4.3.4 Vaccine Development & Promotion
4.4.3.5 Population Health Management
4.4.3.6 Connected Health Communities & Medical Knowledge Dissemination
4.4.3.7 Epidemiology & Disease Surveillance
4.4.3.8 Health Policy Decision Making
4.4.3.9 Controlling Substance Abuse & Addiction
4.4.3.10 Increasing Awareness & Accessible Healthcare
4.4.4 Health Insurance & Payer Services
4.4.4.1 Health Insurance Claims Processing & Management
4.4.4.2 Fraud & Abuse Prevention
4.4.4.3 Proactive Patient Engagement
4.4.4.4 Accountable & Value-Based Care
4.4.4.5 Data-Driven Health Insurance Premiums
4.4.5 Marketing, Sales & Other Applications
4.4.5.1 Marketing & Sales
4.4.5.2 Administrative & Customer Services
4.4.5.3 Finance & Risk Management
4.4.5.4 Healthcare Data Monetization
4.4.5.5 Other Applications
......
Get Complete TOC with Figures and Tables Here:https://www.researchreporthub.com/report/big-data-healthcare-2/39271/#toc
Research Report Hub
Research Report Hub offers wide-ranging collection of market research reports under virtually every market verticals and sub-categories from different publishers across the globe. We offer reliable market intelligence reports and report customization services to better understand current and projected market scenarios. It also gives a clearer depiction of industries and facilitates to simply perceive competitor activity in the respective industry. Our services are also geared towards helping organizations procure market reports at the finest price.
About US
Research Report Hub
Sector 04, Plot 101, Sant Nagar,
Moshi PCNDTA, Pune, 412105
Maharashtra, India
Web:www.researchreporthub.com
Find us on: <||>rnhttps://www.facebook.com/reasearchreporthub/ <||>rnhttps://twitter.com/hub_report <||>rnhttps://www.linkedin.com/company/research-report-hub/
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Tel: +918448444687
Email us
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Research Report Hub
Prakriti Mathur
Tel: +918448444687
Email us
----
This press release is posted on EmailWire.com -- a global newswire that provides Press Release Distribution Services with Guaranteed Results