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Big Data in the Healthcare & Pharmaceutical Industry: 2017 – 2030 – Opportunities, Challenges, Strategies & Forecasts


Report Details

Big Data in the Healthcare & Pharmaceutical Industry: 2017 – 2030 – Opportunities, Challenges, Strategies & Forecasts

SKU SNSAUG071701
Category ICT
Publisher SNS Research
Pages 499
Published Aug-17
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Description

Big Data a $4 Billion opportunity in the healthcare & pharmaceutical industry

“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.

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

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.


News/Press Release

Table of Content

Table of Contents
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

Chapter 4: Business Case & Applications in the Healthcare & Pharmaceutical Industry
Overview & Investment Potential
Industry Specific Market Growth Drivers
Industry Specific Market Barriers
Key Applications
Pharmaceutical & Medical Products
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
Core Healthcare Operations
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
Healthcare Support, Awareness & Disease Prevention
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 & Payer Services
Health Insurance Claims Processing & Management
Fraud & Abuse Prevention
Proactive Patient Engagement
Accountable & Value-Based Care
Data-Driven Health Insurance Premiums
Marketing, Sales & Other Applications
Marketing & Sales
Administrative & Customer Services
Finance & Risk Management
Healthcare Data Monetization
Other Applications

Chapter 5: Healthcare & Pharmaceutical Industry Case Studies
Pharmaceutical & Medical Device Companies
AstraZeneca: Analytics-Driven Drug Development with Big Data
Bayer: Accelerating Clinical Trials with Big Data
GSK (GlaxoSmithKline): Increasing Success Rates in Drug Discovery with Big Data
Johnson & Johnson: Intelligent Pharmaceutical Marketing with Big Data
Medtronic: Facilitating Predictive Care with Big Data
Merck & Co.: Optimizing Vaccine Manufacturing with Big Data
Merck KGaA: Discovering Drugs Faster with Big Data
Novartis: Digitizing Healthcare with Big Data
Pfizer: Developing Effective and Targeted Therapies with Big Data
Roche: Personalizing Healthcare with Big Data
Sanofi: Proactive Diabetes Care with Big Data
Healthcare Providers, Insurers & Payers
Aetna: Predicting & Improving Health with Big Data
Bangkok Hospital Group: Transforming the Patient Experience with Big Data
Gold Coast Health: Reducing Hospital Waiting Times with Big Data
IU Health (Indiana University Health): Preventing Hospital-Acquired Infections with Big Data
MSQC (Michigan Surgical Quality Collaborative): Surgical Quality Improvement with Big Data
NCCS (National Cancer Centre Singapore): Advancing Cancer Treatment with Big Data
NHS Scotland: Improving Outcomes with Big Data
Seattle Children's Hospital: Enabling Faster & Accurate Diagnosis with Big Data
UnitedHealth Group: Enhancing Patient Care & Value with Big Data
VHA (Veterans Health Administration): Streamlining Healthcare Delivery with Big Data
Other Stakeholders
Amino: Healthcare Transparency with Big Data
CosmosID: Advancing Microbial Genomics with Big Data
Express Scripts: Improving Medication Adherence with Big Data
Faros Healthcare: Enhancing Clinical Decision Making with Big Data
Genomics England: Developing the World's First Genomics Medicine Service with Big Data
Ginger.io: Improving Mental Wellbeing with Big Data
Illumina: Enabling Precision Medicine with Big Data
INDS (National Institute of Health Data, France): Population Health Management with Big Data
MolecularMatch: Advancing the Clinical Utility of Genomics with Big Data
Proteus Digital Health: Pioneering Digital Medicine with Big Data
Royal Philips: Enhancing Workflows in ICUs (Intensive Care Units) with Big Data
Sickweather: Sickness Forecasting & Mapping with Big Data
Sproxil: Fighting Counterfeit Drugs with Big Data

Chapter 6: Future Roadmap & Value Chain
Future Roadmap
2017 – 2020: Growing Investments in Real-Time & Predictive Health Analytics
2020 – 2025: Large-Scale Adoption of Precision Medicine
2025 – 2030: Moving Beyond National-Level Population Health Management
Value Chain
Hardware Providers
Storage & Compute Infrastructure Providers
Networking Infrastructure Providers
Software Providers
Hadoop & Infrastructure Software Providers
SQL & NoSQL Providers
Analytic Platform & Application Software Providers
Cloud Platform Providers
Professional Services Providers
End-to-End Solution Providers
Healthcare & Pharmaceutical Industry

Chapter 7: Standardization & Regulatory Initiatives
ASF (Apache Software Foundation)
Management of Hadoop
Big Data Projects Beyond Hadoop
CSA (Cloud Security Alliance)
BDWG (Big Data Working Group)
CSCC (Cloud Standards Customer Council)
Big Data Working Group
DMG (Data Mining Group)
PMML (Predictive Model Markup Language) Working Group
PFA (Portable Format for Analytics) Working Group
IEEE (Institute of Electrical and Electronics Engineers)
Big Data Initiative
INCITS (InterNational Committee for Information Technology Standards)
Big Data Technical Committee
ISO (International Organization for Standardization)
ISO/IEC JTC 1/SC 32: Data Management and Interchange
ISO/IEC JTC 1/SC 38: Cloud Computing and Distributed Platforms
ISO/IEC JTC 1/SC 27: IT Security Techniques
ISO/IEC JTC 1/WG 9: Big Data
Collaborations with Other ISO Work Groups
ITU (International Telecommunications Union)
ITU-T Y.3600: Big Data – Cloud Computing Based Requirements and Capabilities
Other Deliverables Through SG (Study Group) 13 on Future Networks
Other Relevant Work
Linux Foundation
ODPi (Open Ecosystem of Big Data)
NIST (National Institute of Standards and Technology)
NBD-PWG (NIST Big Data Public Working Group)
OASIS (Organization for the Advancement of Structured Information Standards)
Technical Committees
ODaF (Open Data Foundation)
Big Data Accessibility
ODCA (Open Data Center Alliance)
Work on Big Data
OGC (Open Geospatial Consortium)
Big Data DWG (Domain Working Group)
TM Forum
Big Data Analytics Strategic Program
TPC (Transaction Processing Performance Council)
TPC-BDWG (TPC Big Data Working Group)
W3C (World Wide Web Consortium)
Big Data Community Group
Open Government Community Group
Other Initiatives Relevant to the Healthcare & Pharmaceutical Industry
HIPAA (Health Insurance Portability and Accountability Act of 1996)
HITECH (Health Information Technology for Economic and Clinical Health) Act
European Union's GDPR (General Data Protection Regulation)
Australian Digital Health Agency
United Kingdom's ITK (Interoperability Toolkit)
Japan's SS-MIX (Standard Structured Medical Information eXchange)
Germany's xDT
France's DMP (Dossier Médical Personnel)
HL7 (Health Level Seven) Specifications
IHE (Integrating the Healthcare Enterprise)
NCPDP (National Council for Prescription Drug Programs)
DICOM (Digital Imaging and Communications in Medicine)
eHealth Exchange
EDIFACT (Electronic Data Interchange For Administration, Commerce, and Transport)
X12 & Others

Chapter 8: Market Analysis & Forecasts
Global Outlook for Big Data in the Healthcare & Pharmaceutical Industry
Hardware, Software & Professional Services Segmentation
Horizontal Submarket Segmentation
Hardware Submarkets
Storage and Compute Infrastructure
Networking Infrastructure
Software Submarkets
Hadoop & Infrastructure Software
SQL
NoSQL
Analytic Platforms & Applications
Cloud Platforms
Professional Services Submarket
Professional Services
Application Area Segmentation
Pharmaceutical & Medical Products
Core Healthcare Operations
Healthcare Support, Awareness & Disease Prevention
Health Insurance & Payer Services
Marketing, Sales & Other Applications
Use Case Segmentation
Pharmaceutical & Medical Products
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
Core Healthcare Operations
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
Healthcare Support, Awareness & Disease Prevention
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 & Payer Services
Health Insurance Claims Processing & Management
Fraud & Abuse Prevention
Proactive Patient Engagement
Accountable & Value-Based Care
Data-Driven Health Insurance Premiums
Marketing, Sales & Other Application Use Cases
Marketing & Sales
Administrative & Customer Services
Finance & Risk Management
Healthcare Data Monetization
Other Use Cases
Regional Outlook
Asia Pacific
Country Level Segmentation
Australia
China
India
Indonesia
Japan
Malaysia
Pakistan
Philippines
Singapore
South Korea
Taiwan
Thailand
Rest of Asia Pacific
Eastern Europe
Country Level Segmentation
Czech Republic
Poland
Russia
Rest of Eastern Europe
Latin & Central America
Country Level Segmentation
Argentina
Brazil
Mexico
Rest of Latin & Central America
Middle East & Africa
Country Level Segmentation
Israel
Qatar
Saudi Arabia
South Africa
UAE
Rest of the Middle East & Africa
North America
Country Level Segmentation
Canada
USA
Western Europe
Country Level Segmentation
Denmark
Finland
France
Germany
Italy
Netherlands
Norway
Spain
Sweden
UK
Rest of Western Europe

Chapter 9: Vendor Landscape
1010data
Absolutdata
Accenture
Actian Corporation
Adaptive Insights
Advizor Solutions
AeroSpike
AFS Technologies
Alation
Algorithmia
Alluxio
Alpine Data
Alteryx
AMD (Advanced Micro Devices)
Apixio
Arcadia Data
Arimo
ARM
AtScale
Attivio
Attunity
Automated Insights
AWS (Amazon Web Services)
Axiomatics
Ayasdi
Basho Technologies
BCG (Boston Consulting Group)
Bedrock Data
BetterWorks
Big Cloud Analytics
BigML
Big Panda
Birst
Bitam
Blue Medora
BlueData Software
BlueTalon
BMC Software
BOARD International
Booz Allen Hamilton
Boxever
CACI International
Cambridge Semantics
Capgemini
Cazena
Centrifuge Systems
CenturyLink
Chartio
Cisco Systems
Civis Analytics
ClearStory Data
Cloudability
Cloudera
Clustrix
CognitiveScale
Collibra
Concurrent Computer Corporation
Confluent
Contexti
Continuum Analytics
Couchbase
CrowdFlower
Databricks
DataGravity
Dataiku
Datameer
DataRobot
DataScience
DataStax
DataTorrent
Datawatch Corporation
Datos IO
DDN (DataDirect Networks)
Decisyon
Dell Technologies
Deloitte
Demandbase
Denodo Technologies
Digital Reasoning Systems
Dimensional Insight
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
Facebook
FICO (Fair Isaac Corporation)
Fractal Analytics
Fujitsu
Fuzzy Logix
Gainsight
GE (General Electric)
Glassbeam
GoodData Corporation
Google
Greenwave Systems
GridGain Systems
Guavus
H2O.ai
HDS (Hitachi Data Systems)
Hedvig
Hortonworks
HPE (Hewlett Packard Enterprise)
Huawei
IBM Corporation
iDashboards
Impetus Technologies
Incorta
InetSoft Technology Corporation
Infer
Infor
Informatica Corporation
Information Builders
Infosys
Infoworks
Insightsoftware.com
InsightSquared
Intel Corporation
Interana
InterSystems Corporation
Jedox
Jethro
Jinfonet Software
Juniper Networks
KALEAO
Keen IO
Kinetica
KNIME
Kognitio
Kyvos Insights
Lavastorm
Lexalytics
Lexmark International
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
MemSQL
Metric Insights
Microsoft Corporation
MicroStrategy
Minitab
MongoDB
Mu Sigma
NEC Corporation
Neo Technology
NetApp
Nimbix
Nokia
NTT Data Corporation
Numerify
NuoDB
Nutonian
NVIDIA Corporation
Oblong Industries
OpenText Corporation
Opera Solutions
Optimal Plus
Oracle Corporation
Palantir Technologies
Panorama Software
Paxata
Pentaho Corporation
Pepperdata
Phocas Software
Pivotal Software
Prognoz
Progress Software Corporation
PwC (PricewaterhouseCoopers International)
Pyramid Analytics
Qlik
Quantum Corporation
Qubole
Rackspace
Radius Intelligence
RapidMiner
Recorded Future
Red Hat
Redis Labs
RedPoint Global
Reltio
Rocket Fuel
RStudio
Ryft Systems
Sailthru
Salesforce.com
Salient Management Company
Samsung Group
SAP
SAS Institute
ScaleDB
ScaleOut Software
SCIO Health Analytics
Seagate Technology
Sinequa
SiSense
SnapLogic
Snowflake Computing
Software AG
Splice Machine
Splunk
Sqrrl
Strategy Companion Corporation
StreamSets
Striim
Sumo Logic
Supermicro (Super Micro Computer)
Syncsort
SynerScope
Tableau Software
Talena
Talend
Tamr
TARGIT
TCS (Tata Consultancy Services)
Teradata Corporation
ThoughtSpot
TIBCO Software
Tidemark
Toshiba Corporation
Trifacta
Unravel Data
VMware
VoltDB
Waterline Data
Western Digital Corporation
WiPro
Workday
Xplenty
Yellowfin International
Yseop
Zendesk
Zoomdata
Zucchetti

Chapter 10: Conclusion & Strategic Recommendations
Why is the Market Poised to Grow?
Geographic Outlook: Which Countries Offer the Highest Growth Potential?
Partnerships & M&A Activity: Highlighting the Importance of Big Data
Improving Outcomes, Achieving Operational Efficiency and Reducing Costs
Assessing the Impact of Connected Health Solutions
Accelerating the Transition Towards Value-Based Care
The Value of Big Data in Precision Medicine
Addressing Privacy & Security Concerns
The Role of Data Protection Legislation
Blockchain: Enabling Secure, Efficient and Interoperable Data Sharing
Recommendations
Big Data Hardware, Software & Professional Services Providers
Healthcare & Pharmaceutical Industry Stakeholders

List of Figures

List of Figures
Figure 1: Hadoop Architecture
Figure 2: Reactive vs. Proactive Analytics
Figure 3: Distribution of Big Data Investments in the Healthcare & Pharmaceutical Industry, by Application Area: 2016 (%)
Figure 4: Key Characteristics of Genomics and Three Major Sources of Big Data
Figure 5: Bayer's Vision of Big Data in Medicine
Figure 6: Sickweather's Sickness Forecasting & Mapping Service
Figure 7: Counterfeit Drug Identification with Big Data & Mobile Technology
Figure 8: Big Data Roadmap in the Healthcare & Pharmaceutical Industry
Figure 9: Big Data Value Chain in the Healthcare & Pharmaceutical Industry
Figure 10: Key Aspects of Big Data Standardization
Figure 11: Global Big Data Revenue in the Healthcare & Pharmaceutical Industry: 2017 - 2030 ($ Million)
Figure 12: Global Big Data Revenue in the Healthcare & Pharmaceutical Industry, by Hardware, Software & Professional Services: 2017 - 2030 ($ Million)
Figure 13: Global Big Data Revenue in the Healthcare & Pharmaceutical Industry, by Submarket: 2017 - 2030 ($ Million)
Figure 14: Global Big Data Storage and Compute Infrastructure Submarket Revenue in the Healthcare & Pharmaceutical Industry: 2017 - 2030 ($ Million)
Figure 15: Global Big Data Networking Infrastructure Submarket Revenue in the Healthcare & Pharmaceutical Industry: 2017 - 2030 ($ Million)
Figure 16: Global Big Data Hadoop & Infrastructure Software Submarket Revenue in the Healthcare & Pharmaceutical Industry: 2017 - 2030 ($ Million)
Figure 17: Global Big Data SQL Submarket Revenue in the Healthcare & Pharmaceutical Industry: 2017 - 2030 ($ Million)
Figure 18: Global Big Data NoSQL Submarket Revenue in the Healthcare & Pharmaceutical Industry: 2017 - 2030 ($ Million)
Figure 19: Global Big Data Analytic Platforms & Applications Submarket Revenue in the Healthcare & Pharmaceutical Industry: 2017 - 2030 ($ Million)
Figure 20: Global Big Data Cloud Platforms Submarket Revenue in the Healthcare & Pharmaceutical Industry: 2017 - 2030 ($ Million)
Figure 21: Global Big Data Professional Services Submarket Revenue in the Healthcare & Pharmaceutical Industry: 2017 - 2030 ($ Million)
Figure 22: Global Big Data Revenue in the Healthcare & Pharmaceutical Industry, by Application Area: 2017 - 2030 ($ Million)
Figure 23: Global Big Data Revenue in Pharmaceutical & Medical Products: 2017 - 2030 ($ Million)
Figure 24: Global Big Data Revenue in Core Healthcare Operations: 2017 - 2030 ($ Million)
Figure 25: Global Big Data Revenue in Healthcare Support, Awareness & Disease Prevention: 2017 - 2030 ($ Million)
Figure 26: Global Big Data Revenue in Health Insurance & Payer Services: 2017 - 2030 ($ Million)
Figure 27: Global Big Data Revenue in Healthcare/Pharmaceutical Marketing, Sales & Other Applications: 2017 - 2030 ($ Million)
Figure 28: Global Big Data Revenue in the Healthcare & Pharmaceutical Industry, by Use Case: 2017 - 2030 ($ Million)
Figure 29: Global Big Data Revenue in Drug Discovery, Design & Development: 2017 - 2030 ($ Million)
Figure 30: Global Big Data Revenue in Medical Product Design & Development: 2017 - 2030 ($ Million)
Figure 31: Global Big Data Revenue in Clinical Development & Trials: 2017 - 2030 ($ Million)
Figure 32: Global Big Data Revenue in Precision Medicine & Genomics: 2017 - 2030 ($ Million)
Figure 33: Global Big Data Revenue in Pharmaceutical/Medical Manufacturing & Supply Chain Management: 2017 - 2030 ($ Million)
Figure 34: Global Big Data Revenue in Post-Market Surveillance & Pharmacovigilance: 2017 - 2030 ($ Million)
Figure 35: Global Big Data Revenue in Medical Product Fault Monitoring: 2017 - 2030 ($ Million)
Figure 36: Global Big Data Revenue in Clinical Decision Support: 2017 - 2030 ($ Million)
Figure 37: Global Big Data Revenue in Care Coordination & Delivery Management: 2017 - 2030 ($ Million)
Figure 38: Global Big Data Revenue in CER (Comparative Effectiveness Research) & Observational Evidence: 2017 - 2030 ($ Million)
Figure 39: Global Big Data Revenue in Personalized Healthcare & Targeted Treatments: 2017 - 2030 ($ Million)
Figure 40: Global Big Data Revenue in Data-Driven Preventive Care & Health Interventions: 2017 - 2030 ($ Million)
Figure 41: Global Big Data Revenue in Surgical Practice & Complex Medical Procedures: 2017 - 2030 ($ Million)
Figure 42: Global Big Data Revenue in Pathology, Medical Imaging & Other Medical Tests: 2017 - 2030 ($ Million)
Figure 43: Global Big Data Revenue in Proactive & Remote Patient Monitoring: 2017 - 2030 ($ Million)
Figure 44: Global Big Data Revenue in Predictive Maintenance of Medical Equipment: 2017 - 2030 ($ Million)
Figure 45: Global Big Data Revenue in Pharmacy Services: 2017 - 2030 ($ Million)
Figure 46: Global Big Data Revenue in Self-Care & Lifestyle Support: 2017 - 2030 ($ Million)
Figure 47: Global Big Data Revenue in Medication Adherence & Management: 2017 - 2030 ($ Million)
Figure 48: Global Big Data Revenue in Vaccine Development & Promotion: 2017 - 2030 ($ Million)
Figure 49: Global Big Data Revenue in Population Health Management: 2017 - 2030 ($ Million)
Figure 50: Global Big Data Revenue in Connected Health Communities & Medical Knowledge Dissemination: 2017 - 2030 ($ Million)
Figure 51: Global Big Data Revenue in Epidemiology & Disease Surveillance: 2017 - 2030 ($ Million)
Figure 52: Global Big Data Revenue in Health Policy Decision Making: 2017 - 2030 ($ Million)
Figure 53: Global Big Data Revenue in Controlling Substance Abuse & Addiction: 2017 - 2030 ($ Million)
Figure 54: Global Big Data Revenue in Increasing Awareness & Accessible Healthcare: 2017 - 2030 ($ Million)
Figure 55: Global Big Data Revenue in Health Insurance Claims Processing & Management: 2017 - 2030 ($ Million)
Figure 56: Global Big Data Revenue in Fraud & Abuse Prevention: 2017 - 2030 ($ Million)
Figure 57: Global Big Data Revenue in Proactive Patient Engagement: 2017 - 2030 ($ Million)
Figure 58: Global Big Data Revenue in Accountable & Value-Based Care: 2017 - 2030 ($ Million)
Figure 59: Global Big Data Revenue in Data-Driven Health Insurance Premiums: 2017 - 2030 ($ Million)
Figure 60: Global Big Data Revenue in Healthcare/Pharmaceutical Marketing & Sales: 2017 - 2030 ($ Million)
Figure 61: Global Big Data Revenue in Healthcare/Pharmaceutical Administrative & Customer Services: 2017 - 2030 ($ Million)
Figure 62: Global Big Data Revenue in Healthcare/Pharmaceutical Finance & Risk Management: 2017 - 2030 ($ Million)
Figure 63: Global Big Data Revenue in Healthcare Data Monetization: 2017 - 2030 ($ Million)
Figure 64: Global Big Data Revenue in Other Healthcare & Pharmaceutical Industry Use Cases: 2017 - 2030 ($ Million)
Figure 65: Big Data Revenue in the Healthcare & Pharmaceutical Industry, by Region: 2017 - 2030 ($ Million)
Figure 66: Asia Pacific Big Data Revenue in the Healthcare & Pharmaceutical Industry: 2017 - 2030 ($ Million)
Figure 67: Asia Pacific Big Data Revenue in the Healthcare & Pharmaceutical Industry, by Country: 2017 - 2030 ($ Million)
Figure 68: Australia Big Data Revenue in the Healthcare & Pharmaceutical Industry: 2017 - 2030 ($ Million)
Figure 69: China Big Data Revenue in the Healthcare & Pharmaceutical Industry: 2017 - 2030 ($ Million)
Figure 70: India Big Data Revenue in the Healthcare & Pharmaceutical Industry: 2017 - 2030 ($ Million)
Figure 71: Indonesia Big Data Revenue in the Healthcare & Pharmaceutical Industry: 2017 - 2030 ($ Million)
Figure 72: Japan Big Data Revenue in the Healthcare & Pharmaceutical Industry: 2017 - 2030 ($ Million)
Figure 73: Malaysia Big Data Revenue in the Healthcare & Pharmaceutical Industry: 2017 - 2030 ($ Million)
Figure 74: Pakistan Big Data Revenue in the Healthcare & Pharmaceutical Industry: 2017 - 2030 ($ Million)
Figure 75: Philippines Big Data Revenue in the Healthcare & Pharmaceutical Industry: 2017 - 2030 ($ Million)
Figure 76: Singapore Big Data Revenue in the Healthcare & Pharmaceutical Industry: 2017 - 2030 ($ Million)
Figure 77: South Korea Big Data Revenue in the Healthcare & Pharmaceutical Industry: 2017 - 2030 ($ Million)
Figure 78: Taiwan Big Data Revenue in the Healthcare & Pharmaceutical Industry: 2017 - 2030 ($ Million)
Figure 79: Thailand Big Data Revenue in the Healthcare & Pharmaceutical Industry: 2017 - 2030 ($ Million)
Figure 80: Rest of Asia Pacific Big Data Revenue in the Healthcare & Pharmaceutical Industry: 2017 - 2030 ($ Million)
Figure 81: Eastern Europe Big Data Revenue in the Healthcare & Pharmaceutical Industry: 2017 - 2030 ($ Million)
Figure 82: Eastern Europe Big Data Revenue in the Healthcare & Pharmaceutical Industry, by Country: 2017 - 2030 ($ Million)
Figure 83: Czech Republic Big Data Revenue in the Healthcare & Pharmaceutical Industry: 2017 - 2030 ($ Million)
Figure 84: Poland Big Data Revenue in the Healthcare & Pharmaceutical Industry: 2017 - 2030 ($ Million)
Figure 85: Russia Big Data Revenue in the Healthcare & Pharmaceutical Industry: 2017 - 2030 ($ Million)
Figure 86: Rest of Eastern Europe Big Data Revenue in the Healthcare & Pharmaceutical Industry: 2017 - 2030 ($ Million)
Figure 87: Latin & Central America Big Data Revenue in the Healthcare & Pharmaceutical Industry: 2017 - 2030 ($ Million)
Figure 88: Latin & Central America Big Data Revenue in the Healthcare & Pharmaceutical Industry, by Country: 2017 - 2030 ($ Million)
Figure 89: Argentina Big Data Revenue in the Healthcare & Pharmaceutical Industry: 2017 - 2030 ($ Million)
Figure 90: Brazil Big Data Revenue in the Healthcare & Pharmaceutical Industry: 2017 - 2030 ($ Million)
Figure 91: Mexico Big Data Revenue in the Healthcare & Pharmaceutical Industry: 2017 - 2030 ($ Million)
Figure 92: Rest of Latin & Central America Big Data Revenue in the Healthcare & Pharmaceutical Industry: 2017 - 2030 ($ Million)
Figure 93: Middle East & Africa Big Data Revenue in the Healthcare & Pharmaceutical Industry: 2017 - 2030 ($ Million)
Figure 94: Middle East & Africa Big Data Revenue in the Healthcare & Pharmaceutical Industry, by Country: 2017 - 2030 ($ Million)
Figure 95: Israel Big Data Revenue in the Healthcare & Pharmaceutical Industry: 2017 - 2030 ($ Million)
Figure 96: Qatar Big Data Revenue in the Healthcare & Pharmaceutical Industry: 2017 - 2030 ($ Million)
Figure 97: Saudi Arabia Big Data Revenue in the Healthcare & Pharmaceutical Industry: 2017 - 2030 ($ Million)
Figure 98: South Africa Big Data Revenue in the Healthcare & Pharmaceutical Industry: 2017 - 2030 ($ Million)
Figure 99: UAE Big Data Revenue in the Healthcare & Pharmaceutical Industry: 2017 - 2030 ($ Million)
Figure 100: Rest of the Middle East & Africa Big Data Revenue in the Healthcare & Pharmaceutical Industry: 2017 - 2030 ($ Million)
Figure 101: North America Big Data Revenue in the Healthcare & Pharmaceutical Industry: 2017 - 2030 ($ Million)
Figure 102: North America Big Data Revenue in the Healthcare & Pharmaceutical Industry, by Country: 2017 - 2030 ($ Million)
Figure 103: Canada Big Data Revenue in the Healthcare & Pharmaceutical Industry: 2017 - 2030 ($ Million)
Figure 104: USA Big Data Revenue in the Healthcare & Pharmaceutical Industry: 2017 - 2030 ($ Million)
Figure 105: Western Europe Big Data Revenue in the Healthcare & Pharmaceutical Industry: 2017 - 2030 ($ Million)
Figure 106: Western Europe Big Data Revenue in the Healthcare & Pharmaceutical Industry, by Country: 2017 - 2030 ($ Million)
Figure 107: Denmark Big Data Revenue in the Healthcare & Pharmaceutical Industry: 2017 - 2030 ($ Million)
Figure 108: Finland Big Data Revenue in the Healthcare & Pharmaceutical Industry: 2017 - 2030 ($ Million)
Figure 109: France Big Data Revenue in the Healthcare & Pharmaceutical Industry: 2017 - 2030 ($ Million)
Figure 110: Germany Big Data Revenue in the Healthcare & Pharmaceutical Industry: 2017 - 2030 ($ Million)
Figure 111: Italy Big Data Revenue in the Healthcare & Pharmaceutical Industry: 2017 - 2030 ($ Million)
Figure 112: Netherlands Big Data Revenue in the Healthcare & Pharmaceutical Industry: 2017 - 2030 ($ Million)
Figure 113: Norway Big Data Revenue in the Healthcare & Pharmaceutical Industry: 2017 - 2030 ($ Million)
Figure 114: Spain Big Data Revenue in the Healthcare & Pharmaceutical Industry: 2017 - 2030 ($ Million)
Figure 115: Sweden Big Data Revenue in the Healthcare & Pharmaceutical Industry: 2017 - 2030 ($ Million)
Figure 116: UK Big Data Revenue in the Healthcare & Pharmaceutical Industry: 2017 - 2030 ($ Million)
Figure 117: Rest of Western Europe Big Data Revenue in the Healthcare & Pharmaceutical Industry: 2017 - 2030 ($ Million)

Companies Profiled

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
Alpine Data
Alteryx
Ambient Clinical Analytics
AMD (Advanced Micro Devices)
Amino
Apixio
Arcadia Data
Arimo
ARM
ASF (Apache Software Foundation)
ASTM (American Society for Testing and Materials)
AstraZeneca
AtScale
Attivio
Attunity
Australian Digital Health Agency
Automated Insights
AWS (Amazon Web Services)
Axiomatics
Ayasdi
Bangkok Hospital Group
Basho Technologies
Bayer
BCG (Boston Consulting Group)
Bedrock Data
BetterWorks
Big Cloud Analytics
Big Panda
BigML
Birst
Bitam
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
Clustrix
CMS (U.S. Centers for Medicare & Medicaid Services)
CNIL (Data Protection Regulatory Authority, France)
CognitiveScale
Collibra
Concurrent Computer Corporation
Confluent
Contexti
Continuum Analytics
CosmosID
Couchbase
CrowdFlower
CSA (Cloud Security Alliance)
CSCC (Cloud Standards Customer Council)
CSIRO (Commonwealth Scientific and Industrial Research Organization)
Databricks
DataGravity
Dataiku
Datameer
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
Express Scripts
Exscientia
Facebook
Faros Healthcare
FDA (U.S. Food and Drug Administration)
FICO (Fair Isaac Corporation)
Fractal Analytics
Fujitsu
Fuzzy Logix
Gainsight
GE (General Electric)
Genomics England
Ginger.io
Glassbeam
GNS Healthcare
Gold Coast Health
GoodData Corporation
Google
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
ISO (International Organization for Standardization)
ITU (International Telecommunications Union)
IU Health (Indiana University Health)
IURTC (Indiana University Research & Technology Corporation)
Jedox
Jethro
Jinfonet Software
Johnson & Johnson
Juniper Networks
KALEAO
KBV/NASHIP (National Association of Statutory Health Insurance Physicians, Germany)
Keen IO
Kinetica
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
Merck & Co.
Merck KGaA
Metric Insights
Microsoft Corporation
MicroStrategy
Ministry of Health, Labor and Welfare, Japan
Minitab
MolecularMatch
MongoDB
MSQC (Michigan Surgical Quality Collaborative)
Mu Sigma
NCCS  (National Cancer Centre Singapore)
NCPDP (National Council for Prescription Drug Programs)
NEC Corporation
NEMA (National Electrical Manufacturers Association)
Neo Technology
NetApp
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
Software AG
Splice Machine
Splunk
Sproxil
Sqrrl
Strategy Companion Corporation
StreamSets
Striim
Sumo Logic
Supermicro (Super Micro Computer)
Syncsort
SynerScope
Tableau Software
Talena
Talend
Tamr
TARGIT
TCS (Tata Consultancy Services)
Teradata Corporation
The Weather Company
ThoughtSpot
TIBCO Software
Tidemark
TM Forum
Toshiba Corporation
TPC (Transaction Processing Performance Council)
Trifacta
U.S. Department of Energy
U.S. Department of Veterans Affairs
UN (United Nations)
UnitedHealth Group
University of Michigan
University of Utah Health Care
Unravel Data
VHA (U.S. Veterans Health Administration)
VMware
VoltDB
W3C (World Wide Web Consortium)
Waterline Data
Western Digital Corporation
WiPro
Workday
X12
Xplenty
Yellowfin International
Yseop
Zendesk
Zoomdata
Zucchetti

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