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2017 - 2030 Big Data in the Healthcare & Pharmaceutical Industry: Opportunities, & Forecasts
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“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.

 

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

 

View Report @ https://www.marketresearchreports.biz/reports/1293483/big-data-in-the-healthcare-pharmaceutical-industry-2017-2030-opportunities-challenges-strategies-forecasts-market-research-reports

 

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

 

Get Sample Copy of this Report @ https://www.marketresearchreports.biz/sample/sample/1293483

 

Regional Markets

 

Asia Pacific

Eastern Europe

Latin & Central America

Middle East & Africa

North America

Western Europe

 

Country Markets

 

Argentina, Australia, Brazil, Canada, China, Czech Republic, Denmark, Finland, France, Germany, India, Indonesia, Israel, Italy, Japan, Malaysia, Mexico, Netherlands, Norway, Pakistan, Philippines, Poland, Qatar, Russia, Saudi Arabia, Singapore, South Africa, South Korea, Spain, Sweden, Taiwan, Thailand, UAE, UK, USA

 

Key Questions Answered

 

The report provides answers to the following key questions:

 

  • How big is the Big Data opportunity in the healthcare and pharmaceutical industry?

  • How is the market evolving by segment and region?

  • What will the market size be in 2020 and at what rate will it grow?

  • What trends, challenges and barriers are influencing its growth?

  • Who are the key Big Data software, hardware and services vendors and what are their strategies?

  • How much are healthcare providers, insurers, payers, pharmaceutical companies and other stakeholders investing in Big Data?

  • What opportunities exist for Big Data analytics in the healthcare and pharmaceutical industry?

  • Which countries, application areas and use cases will see the highest percentage of Big Data investments in the healthcare and pharmaceutical industry?

 

Key Findings

 

The report has the following key findings:

 

  • In 2017, Big Data vendors will pocket nearly $4 Billion from hardware, software and professional services revenues in the healthcare and pharmaceutical industry. These investments are further expected to grow at a CAGR of more than 15% over the next three years, eventually accounting for over $5.8 Billion by the end of 2020.

  • Through the use of Big Data technologies, hospitals and other healthcare facilities have been able to achieve cost reductions of more than 10%, improvements in outcomes by as much as 20% for certain conditions, growth in revenue by 30%, and increase in patient access to services by more than 35%.

  • Big Data technologies are playing a pivotal role in accelerating the transition towards accountable and value-based care models, by enabling the continuous collection, consolidation and analysis of clinical and operational data from healthcare facilities and other available data sources.

  • Addressing privacy and security concerns is necessary in order to fully leverage the benefits of Big Data in the healthcare and pharmaceutical industry. Therefore, it is essential for key stakeholders to make significant investments in data encryption and cybersecurity, in addition to adopting defensible de-identification techniques and implementing strict restrictions on data use.

 

List of Companies Mentioned

 

1010data

Absolutdata

Accenture

ACR (American College of Radiology)

Actian Corporation

Adaptive Insights

Advizor Solutions

AeroSpike

Aetna

AFS Technologies

Alation

Algorithmia

Alluxio

Alphabet

Blue Medora

BlueData Software

BlueTalon

BMC Software

BOARD International

Booz Allen Hamilton

Boxever

CACI International

Cambridge Semantics

Capgemini

Cazena

CDC (Centers for Disease Control & Prevention)

Centerstone

Centrifuge Systems

CenturyLink

Chartio

Cincinnati Children’s Hospital Medical Center

Cisco Systems

Civis Analytics

ClearStory Data

Cloudability

Cloudera

DataRobot

DataScience

DataStax

DataTorrent

Datawatch Corporation

Datos IO

DDN (DataDirect Networks)

Decisyon

Dell Technologies

Deloitte

Demandbase

Denodo Technologies

Digital Reasoning Systems

Dimensional Insight

DMG (Data Mining Group)

Dolphin Enterprise Solutions Corporation

Domino Data Lab

Domo

DriveScale

Dundas Data Visualization

DXC Technology

Eligotech

Engineering Group (Engineering Ingegneria Informatica)

EnterpriseDB

eQ Technologic

Ericsson

EXASOL

Greenwave Systems

GridGain Systems

GSK (GlaxoSmithKline)

Guavus

H2O.ai

HDS (Hitachi Data Systems)

Hedvig

HHS (U.S. Department of Health & Human Services)

HL7 (Health Level Seven)

HLI (Human Longevity Inc.)

Hortonworks

HPE (Hewlett Packard Enterprise)

Huawei

IBM Corporation

iDashboards

IEEE (Institute of Electrical and Electronics Engineers)

IHE (Integrating the Healthcare Enterprise)

Illumina

IMI (Innovative Medicines Initiative)

Impetus Technologies

INCITS (InterNational Committee for Information Technology Standards)

Incorta

INDS (National Institute of Health Data, France)

InetSoft Technology Corporation

Infer

Infor

Informatica Corporation

Information Builders

Infosys

Infoworks

Insightsoftware.com

InsightSquared

Intel Corporation

Interana

InterSystems Corporation

KNIME

Kognitio

Kyvos Insights

Lavastorm

Lexalytics

Lexmark International

Linux Foundation

Logi Analytics

Longview Solutions

Looker Data Sciences

LucidWorks

Luminoso Technologies

Maana

Magento Commerce

Manthan Software Services

MapD Technologies

MapR Technologies

MariaDB Corporation

MarkLogic Corporation

Mathworks

Mayo Clinic

Medtronic

MemSQL

NHS (National Health Service, United Kingdom)

NHS England

NHS Scotland

Nimbix

NIST (U.S. National Institute of Standards and Technology)

Nokia

Novartis

NTT Data Corporation

Numerify

NuoDB

Nutonian

NVIDIA Corporation

OASIS (Organization for the Advancement of Structured Information Standards)

Oblong Industries

ODaF (Open Data Foundation)

ODCA (Open Data Center Alliance)

ODPi (Open Ecosystem of Big Data)

OGC (Open Geospatial Consortium)

OpenText Corporation

Opera Solutions

Optimal Plus

Optum

OptumLabs

Oracle Corporation

Palantir Technologies

Panorama Software

Paxata

Pentaho Corporation

Pepperdata

Pfizer

Phocas Software

Pivotal Software

Prognoz

Progress Software Corporation

Proteus Digital Health

PwC (PricewaterhouseCoopers International)

Pyramid Analytics

Qlik

Quantum Corporation

Qubole

Rackspace

Radius Intelligence

RapidMiner

Recorded Future

Red Hat

Redis Labs

RedPoint Global

Reltio

Roche

Rocket Fuel

Royal Philips

RStudio

Ryft Systems

Sailthru

Salesforce.com

Salient Management Company

Samsung Group

Sanofi

SAP

SAS Institute

ScaleDB

ScaleOut Software

SCIO Health Analytics

Seagate Technology

Seattle Children's Hospital

Sickweather

Sinequa

SingHealth (Singapore Health Services)

SiSense

SnapLogic

Snowflake Computing

 

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