Big Data in the Healthcare & Pharmaceutical: A +$7 Billion Opportunity by 2021, Growing at a CAGR of 12%

2018-07-31

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Dublin, July 31, 2018 (GLOBE NEWSWIRE) -- The "Big Data in the Healthcare & Pharmaceutical Industry: 2018 - 2030 - Opportunities, Challenges, Strategies & Forecasts" report from SNS Telecom & IT has been added to ResearchAndMarkets.com's offering. 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.This research estimates that Big Data investments in the healthcare and pharmaceutical industry will account for nearly $4.7 Billion in 2018 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 approximately 12% over the next three years.The 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 2018 through to 2030. The forecasts are segmented for 8 horizontal submarkets, 5 application areas, 37 use cases, 6 regions and 35 countries. Key Findings In 2018, Big Data vendors will pocket nearly $4.7 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 approximately 12% over the next three years, eventually accounting for more than $7 Billion by the end of 2021.Big Data and advanced analytics are driving a paradigm shift in the healthcare and pharmaceutical industry with multiple innovations ranging from precision medicine and digital therapeutics to the adoption of accountable and value-based care models.Drug developers are making substantial investments in Big Data and artificial intelligence-driven drug discovery platforms to shorten the process of successfully discovering promising compounds. In addition, Big Data technologies are increasingly being utilized to streamline clinical trials, enabling biopharmaceutical companies to significantly lower costs and accelerate productive trials.The growing adoption of Big Data technologies has also brought about an array of benefits for hospitals and other healthcare facilities. Based on feedback from healthcare providers worldwide, these include but are not limited to cost savings in the range of 20-30%, an increase in patient access to services by more than 35%, growth in revenue by up to 30%, a reduction in emergency room visits by 10%, a drop in patient wait times by 30-60%, improvements in outcomes by as much as 20%, a 10-50% decline in mortality rates for conditions such as heart failure, and a reduction in the occurrence of hospital acquired and surgical site infections by nearly 60%. Key Topics Covered Chapter 1: Introduction1.1 Executive Summary1.2 Topics Covered1.3 Forecast Segmentation1.4 Key Questions Answered1.5 Key Findings1.6 Methodology1.7 Target Audience1.8 Companies & Organizations MentionedChapter 2: An Overview of Big Data2.1 What is Big Data?2.2 Key Approaches to Big Data Processing2.2.1 Hadoop2.2.2 NoSQL2.2.3 MPAD (Massively Parallel Analytic Databases)2.2.4 In-Memory Processing2.2.5 Stream Processing Technologies2.2.6 Spark2.2.7 Other Databases & Analytic Technologies2.3 Key Characteristics of Big Data2.3.1 Volume2.3.2 Velocity2.3.3 Variety2.3.4 Value2.4 Market Growth Drivers2.4.1 Awareness of Benefits2.4.2 Maturation of Big Data Platforms2.4.3 Continued Investments by Web Giants, Governments & Enterprises2.4.4 Growth of Data Volume, Velocity & Variety2.4.5 Vendor Commitments & Partnerships2.4.6 Technology Trends Lowering Entry Barriers2.5 Market Barriers2.5.1 Lack of Analytic Specialists2.5.2 Uncertain Big Data Strategies2.5.3 Organizational Resistance to Big Data Adoption2.5.4 Technical Challenges: Scalability & Maintenance2.5.5 Security & Privacy ConcernsChapter 3: Big Data Analytics3.1 What are Big Data Analytics?3.2 The Importance of Analytics3.3 Reactive vs. Proactive Analytics3.4 Customer vs. Operational Analytics3.5 Technology & Implementation Approaches3.5.1 Grid Computing3.5.2 In-Database Processing3.5.3 In-Memory Analytics3.5.4 Machine Learning & Data Mining3.5.5 Predictive Analytics3.5.6 NLP (Natural Language Processing)3.5.7 Text Analytics3.5.8 Visual Analytics3.5.9 Graph Analytics3.5.10 Social Media, IT & Telco Network AnalyticsChapter 4: Business Case & Applications in the Healthcare & Pharmaceutical Industry4.1 Overview & Investment Potential4.2 Industry Specific Market Growth Drivers4.3 Industry Specific Market Barriers4.4 Key Applications4.4.1 Pharmaceutical & Medical Products4.4.1.1 Drug Discovery, Design & Development4.4.1.2 Medical Product Design & Development4.4.1.3 Clinical Development & Trials4.4.1.4 Precision Medicine & Genomics4.4.1.5 Manufacturing & Supply Chain Management4.4.1.6 Post-Market Surveillance & Pharmacovigilance4.4.1.7 Medical Product Fault Monitoring4.4.2 Core Healthcare Operations4.4.2.1 Clinical Decision Support4.4.2.2 Care Coordination & Delivery Management4.4.2.3 CER (Comparative Effectiveness Research) & Observational Evidence4.4.2.4 Personalized Healthcare & Targeted Treatments4.4.2.5 Data-Driven Preventive Care & Health Interventions4.4.2.6 Surgical Practice & Complex Medical Procedures4.4.2.7 Pathology, Medical Imaging & Other Medical Tests4.4.2.8 Proactive & Remote Patient Monitoring4.4.2.9 Predictive Maintenance of Medical Equipment4.4.2.10 Pharmacy Services4.4.3 Healthcare Support, Awareness & Disease Prevention4.4.3.1 Self-Care & Lifestyle Support4.4.3.2 Digital Therapeutics4.4.3.3 Medication Adherence & Management4.4.3.4 Vaccine Development & Promotion4.4.3.5 Population Health Management4.4.3.6 Connected Health Communities & Medical Knowledge Dissemination4.4.3.7 Epidemiology & Disease Surveillance4.4.3.8 Health Policy Decision Making4.4.3.9 Controlling Substance Abuse & Addiction4.4.3.10 Increasing Awareness & Accessible Healthcare4.4.4 Health Insurance & Payer Services4.4.4.1 Health Insurance Claims Processing & Management4.4.4.2 Fraud & Abuse Prevention4.4.4.3 Proactive Patient Engagement4.4.4.4 Accountable & Value-Based Care4.4.4.5 Data-Driven Health Insurance Premiums4.4.5 Marketing, Sales & Other Applications4.4.5.1 Marketing & Sales4.4.5.2 Administrative & Customer Services4.4.5.3 Finance & Risk Management4.4.5.4 Healthcare Data Monetization4.4.5.5 Other ApplicationsChapter 5: Healthcare & Pharmaceutical Industry Case Studies5.1 Pharmaceutical & Medical Device Companies5.1.1 AbbVie: Designing & Implementing Clinical Trials with Big Data5.1.2 AstraZeneca: Analytics-Driven Drug Development with Big Data5.1.3 Bayer: Accelerating Clinical Trials with Big Data5.1.4 BMS (Bristol-Myers Squibb): Driving Clinical Discovery with Big Data5.1.5 GSK (GlaxoSmithKline): Increasing Success Rates in Drug Discovery with Big Data5.1.6 Johnson & Johnson: Intelligent Pharmaceutical Marketing with Big Data5.1.7 Medtronic: Facilitating Predictive Care with Big Data5.1.8 Merck & Co.: Optimizing Vaccine Manufacturing with Big Data5.1.9 Merck KGaA: Discovering Drugs Faster with Big Data5.1.10 Novartis: Digitizing Healthcare with Big Data5.1.11 Pfizer: Developing Effective and Targeted Therapies with Big Data5.1.12 Roche: Personalizing Healthcare with Big Data5.1.13 Sanofi: Proactive Diabetes Care with Big Data5.2 Healthcare Providers, Insurers & Payers5.2.1 Aetna: Predicting & Improving Health with Big Data5.2.2 Ambulance Victoria: Improving Patient Survival Rates with Big Data5.2.3 Bangkok Hospital Group: Transforming the Patient Experience with Big Data5.2.4 Cigna: Streamlining Health Insurance Claims with Big Data5.2.5 Gold Coast Health: Reducing Hospital Waiting Times with Big Data5.2.6 IU Health (Indiana University Health): Preventing Hospital-Acquired Infections with Big Data5.2.7 Moorfields Eye Hospital: Diagnosing Eye Diseases with Big Data5.2.8 MSQC (Michigan Surgical Quality Collaborative): Surgical Quality Improvement with Big Data5.2.9 NCCS (National Cancer Centre Singapore): Advancing Cancer Treatment with Big Data5.2.10 NHS Scotland: Improving Outcomes with Big Data5.2.11 Seattle Children's Hospital: Enabling Faster & Accurate Diagnosis with Big Data5.2.12 UnitedHealth Group: Enhancing Patient Care & Value with Big Data5.2.13 VHA (Veterans Health Administration): Streamlining Healthcare Delivery with Big Data5.3 Other Stakeholders5.3.1 Amino: Healthcare Transparency with Big Data5.3.2 Atomwise: Improving Drug Discovery with Big Data5.3.3 CosmosID: Advancing Microbial Genomics with Big Data5.3.4 Deep Genomics: Discovering Novel Oligonucleotide Therapies with Big Data5.3.5 Desktop Genetics: Facilitating Genome Editing with Big Data5.3.6 Express Scripts: Improving Medication Adherence with Big Data5.3.7 Faros Healthcare: Enhancing Clinical Decision Making with Big Data5.3.8 Genomics England: Developing the World's First Genomics Medicine Service with Big Data5.3.9 Ginger.io: Improving Mental Wellbeing with Big Data5.3.10 Illumina: Enabling Precision Medicine with Big Data5.3.11 INDS (National Institute of Health Data, France): Population Health Management with Big Data5.3.12 MolecularMatch: Advancing the Clinical Utility of Genomics with Big Data5.3.13 Proteus Digital Health: Pioneering Digital Medicine with Big Data5.3.14 Royal Philips: Enhancing Workflows in ICUs (Intensive Care Units) with Big Data5.3.15 Sickweather: Sickness Forecasting & Mapping with Big Data5.3.16 Sproxil: Fighting Counterfeit Drugs with Big DataChapter 6: Future Roadmap & Value Chain6.1 Future Roadmap6.1.1 Pre-2020: Growing Investments in Real-Time & Predictive Health Analytics6.1.2 2020 - 2025: Data-Driven Advances in Drug Discovery & Precision Medicine6.1.3 2025 - 2030: Moving Beyond National-Level Population Health Management6.2 The Big Data Value Chain6.2.1 Hardware Providers6.2.1.1 Storage & Compute Infrastructure Providers6.2.1.2 Networking Infrastructure Providers6.2.2 Software Providers6.2.2.1 Hadoop & Infrastructure Software Providers6.2.2.2 SQL & NoSQL Providers6.2.2.3 Analytic Platform & Application Software Providers6.2.2.4 Cloud Platform Providers6.2.3 Professional Services Providers6.2.4 End-to-End Solution Providers6.2.5 Healthcare & Pharmaceutical IndustryChapter 7: Standardization & Regulatory Initiatives7.1 ASF (Apache Software Foundation)7.1.1 Management of Hadoop7.1.2 Big Data Projects Beyond Hadoop7.2 CSA (Cloud Security Alliance)7.2.1 BDWG (Big Data Working Group)7.3 CSCC (Cloud Standards Customer Council)7.3.1 Big Data Working Group7.4 DMG (Data Mining Group)7.4.1 PMML (Predictive Model Markup Language) Working Group7.4.2 PFA (Portable Format for Analytics) Working Group7.5 IEEE (Institute of Electrical and Electronics Engineers)7.5.1 Big Data Initiative7.6 INCITS (InterNational Committee for Information Technology Standards)7.6.1 Big Data Technical Committee7.7 ISO (International Organization for Standardization)7.7.1 ISO/IEC JTC 1/SC 32: Data Management and Interchange7.7.2 ISO/IEC JTC 1/SC 38: Cloud Computing and Distributed Platforms7.7.3 ISO/IEC JTC 1/SC 27: IT Security Techniques7.7.4 ISO/IEC JTC 1/WG 9: Big Data7.7.5 Collaborations with Other ISO Work Groups7.8 ITU (International Telecommunication Union)7.8.1 ITU-T Y.3600: Big Data - Cloud Computing Based Requirements and Capabilities7.8.2 Other Deliverables Through SG (Study Group) 13 on Future Networks7.8.3 Other Relevant Work7.9 Linux Foundation7.9.1 ODPi (Open Ecosystem of Big Data)7.10 NIST (National Institute of Standards and Technology)7.10.1 NBD-PWG (NIST Big Data Public Working Group)7.11 OASIS (Organization for the Advancement of Structured Information Standards)7.11.1 Technical Committees7.12 ODaF (Open Data Foundation)7.12.1 Big Data Accessibility7.13 ODCA (Open Data Center Alliance)7.13.1 Work on Big Data7.14 OGC (Open Geospatial Consortium)7.14.1 Big Data DWG (Domain Working Group)7.15 TM Forum7.15.1 Big Data Analytics Strategic Program7.16 TPC (Transaction Processing Performance Council)7.16.1 TPC-BDWG (TPC Big Data Working Group)7.17 W3C (World Wide Web Consortium)7.17.1 Big Data Community Group7.17.2 Open Government Community Group7.18 Other Initiatives Relevant to the Healthcare & Pharmaceutical Industry7.18.1 HIPAA (Health Insurance Portability and Accountability Act of 1996)7.18.2 HITECH (Health Information Technology for Economic and Clinical Health) Act7.18.3 European Union's GDPR (General Data Protection Regulation)7.18.4 Australian Digital Health Agency7.18.5 United Kingdom's ITK (Interoperability Toolkit)7.18.6 Japan's SS-MIX (Standard Structured Medical Information eXchange)7.18.7 Germany's xDT7.18.8 France's DMP (Dossier Mdical Personnel)7.18.9 HL7 (Health Level Seven) Specifications7.18.10 IHE (Integrating the Healthcare Enterprise)7.18.11 NCPDP (National Council for Prescription Drug Programs)7.18.12 DICOM (Digital Imaging and Communications in Medicine)7.18.13 eHealth Exchange7.18.14 EDIFACT (Electronic Data Interchange For Administration, Commerce, and Transport)7.18.15 HITRUST CSF (Common Security Framework)7.18.16 DTA (Digital Therapeutics Alliance)7.18.17 X12 & OthersChapter 8: Market Sizing & Forecasts8.1 Global Outlook for Big Data in the Healthcare & Pharmaceutical Industry8.2 Hardware, Software & Professional Services Segmentation8.3 Horizontal Submarket Segmentation8.4 Hardware Submarkets8.4.1 Storage and Compute Infrastructure8.4.2 Networking Infrastructure8.5 Software Submarkets8.5.1 Hadoop & Infrastructure Software8.5.2 SQL8.5.3 NoSQL8.5.4 Analytic Platforms & Applications8.5.5 Cloud Platforms8.6 Professional Services Submarket8.6.1 Professional Services8.7 Application Area Segmentation8.7.1 Pharmaceutical & Medical Products8.7.2 Core Healthcare Operations8.7.3 Healthcare Support, Awareness & Disease Prevention8.7.4 Health Insurance & Payer Services8.7.5 Marketing, Sales & Other Applications8.8 Use Case Segmentation8.9 Pharmaceutical & Medical Products8.9.1 Drug Discovery, Design & Development8.9.2 Medical Product Design & Development8.9.3 Clinical Development & Trials8.9.4 Precision Medicine & Genomics8.9.5 Manufacturing & Supply Chain Management8.9.6 Post-Market Surveillance & Pharmacovigilance8.9.7 Medical Product Fault Monitoring8.10 Core Healthcare Operations8.10.1 Clinical Decision Support8.10.2 Care Coordination & Delivery Management8.10.3 CER (Comparative Effectiveness Research) & Observational Evidence8.10.4 Personalized Healthcare & Targeted Treatments8.10.5 Data-Driven Preventive Care & Health Interventions8.10.6 Surgical Practice & Complex Medical Procedures8.10.7 Pathology, Medical Imaging & Other Medical Tests8.10.8 Proactive & Remote Patient Monitoring8.10.9 Predictive Maintenance of Medical Equipment8.10.10 Pharmacy Services8.11 Healthcare Support, Awareness & Disease Prevention8.11.1 Self-Care & Lifestyle Support8.11.2 Digital Therapeutics8.11.3 Medication Adherence & Management8.11.4 Vaccine Development & Promotion8.11.5 Population Health Management8.11.6 Connected Health Communities & Medical Knowledge Dissemination8.11.7 Epidemiology & Disease Surveillance8.11.8 Health Policy Decision Making8.11.9 Controlling Substance Abuse & Addiction8.11.10 Increasing Awareness & Accessible Healthcare8.12 Health Insurance & Payer Services8.12.1 Health Insurance Claims Processing & Management8.12.2 Fraud & Abuse Prevention8.12.3 Proactive Patient Engagement8.12.4 Accountable & Value-Based Care8.12.5 Data-Driven Health Insurance Premiums8.13 Marketing, Sales & Other Application Use Cases8.13.1 Marketing & Sales8.13.2 Administrative & Customer Services8.13.3 Finance & Risk Management8.13.4 Healthcare Data Monetization8.13.5 Other Use Cases8.14 Regional Outlook8.15 Asia Pacific8.15.1 Country Level Segmentation8.15.2 Australia8.15.3 China8.15.4 India8.15.5 Indonesia8.15.6 Japan8.15.7 Malaysia8.15.8 Pakistan8.15.9 Philippines8.15.10 Singapore8.15.11 South Korea8.15.12 Taiwan8.15.13 Thailand8.15.14 Rest of Asia Pacific8.16 Eastern Europe8.16.1 Country Level Segmentation8.16.2 Czech Republic8.16.3 Poland8.16.4 Russia8.16.5 Rest of Eastern Europe8.17 Latin & Central America8.17.1 Country Level Segmentation8.17.2 Argentina8.17.3 Brazil8.17.4 Mexico8.17.5 Rest of Latin & Central America8.18 Middle East & Africa8.18.1 Country Level Segmentation8.18.2 Israel8.18.3 Qatar8.18.4 Saudi Arabia8.18.5 South Africa8.18.6 UAE8.18.7 Rest of the Middle East & Africa8.19 North America8.19.1 Country Level Segmentation8.19.2 Canada8.19.3 USA8.20 Western Europe8.20.1 Country Level Segmentation8.20.2 Denmark8.20.3 Finland8.20.4 France8.20.5 Germany8.20.6 Italy8.20.7 Netherlands8.20.8 Norway8.20.9 Spain8.20.10 Sweden8.20.11 UK8.20.12 Rest of Western EuropeChapter 9: Vendor Landscape9.1 1010data9.2 Absolutdata9.3 Accenture9.4 Actian Corporation/HCL Technologies9.5 Adaptive Insights9.6 Adobe Systems9.7 Advizor Solutions9.8 AeroSpike9.9 AFS Technologies9.10 Alation9.11 Algorithmia9.12 Alluxio9.13 ALTEN9.14 Alteryx9.15 AMD (Advanced Micro Devices)9.16 Anaconda9.17 Apixio9.18 Arcadia Data9.19 ARM9.20 AtScale9.21 Attivio9.22 Attunity9.23 Automated Insights9.24 AVORA9.25 AWS (Amazon Web Services)9.26 Axiomatics9.27 Ayasdi9.28 BackOffice Associates9.29 Basho Technologies9.30 BCG (Boston Consulting Group)9.31 Bedrock Data9.32 BetterWorks9.33 Big Panda9.34 BigML9.35 Bitam9.36 Blue Medora9.37 BlueData Software9.38 BlueTalon9.39 BMC Software9.40 BOARD International9.41 Booz Allen Hamilton9.42 Boxever9.43 CACI International9.44 Cambridge Semantics9.45 Capgemini9.46 Cazena9.47 Centrifuge Systems9.48 CenturyLink9.49 Chartio9.50 Cisco Systems9.51 Civis Analytics9.52 ClearStory Data9.53 Cloudability9.54 Cloudera9.55 Cloudian9.56 Clustrix9.57 CognitiveScale9.58 Collibra9.59 Concurrent Technology/Vecima Networks9.60 Confluent9.61 Contexti9.62 Couchbase9.63 Crate.io9.64 Cray9.65 Databricks9.66 Dataiku9.67 Datalytyx9.68 Datameer9.69 DataRobot9.70 DataStax9.71 Datawatch Corporation9.72 DDN (DataDirect Networks)9.73 Decisyon9.74 Dell Technologies9.75 Deloitte9.76 Demandbase9.77 Denodo Technologies9.78 Dianomic Systems9.79 Digital Reasoning Systems9.80 Dimensional Insight9.81 Dolphin Enterprise Solutions Corporation/Hanse Orga Group9.82 Domino Data Lab9.83 Domo9.84 Dremio9.85 DriveScale9.86 Druva9.87 Dundas Data Visualization9.88 DXC Technology9.89 Elastic9.90 Engineering Group (Engineering Ingegneria Informatica)9.91 EnterpriseDB Corporation9.92 eQ Technologic9.93 Ericsson9.94 Erwin9.95 EVO (Big Cloud Analytics)9.96 EXASOL9.97 EXL (ExlService Holdings)9.98 Facebook9.99 FICO (Fair Isaac Corporation)9.100 Figure Eight9.101 FogHorn Systems9.102 Fractal Analytics9.103 Franz9.104 Fujitsu9.105 Fuzzy Logix9.106 Gainsight9.107 GE (General Electric)9.108 Glassbeam9.109 GoodData Corporation9.110 Google/Alphabet9.111 Grakn Labs9.112 Greenwave Systems9.113 GridGain Systems9.114 H2O.ai9.115 HarperDB9.116 Hedvig9.117 Hitachi Vantara9.118 Hortonworks9.119 HPE (Hewlett Packard Enterprise)9.120 Huawei9.121 HVR9.122 HyperScience9.123 HyTrust9.124 IBM Corporation9.125 iDashboards9.126 IDERA9.127 Ignite Technologies9.128 Imanis Data9.129 Impetus Technologies9.130 Incorta9.131 InetSoft Technology Corporation9.132 InfluxData9.133 Infogix9.134 Infor/Birst9.135 Informatica9.136 Information Builders9.137 Infosys9.138 Infoworks9.139 Insightsoftware.com9.140 InsightSquared9.141 Intel Corporation9.142 Interana9.143 InterSystems Corporation9.144 Jedox9.145 Jethro9.146 Jinfonet Software9.147 Juniper Networks9.148 KALEAO9.149 Keen IO9.150 Keyrus9.151 Kinetica9.152 KNIME9.153 Kognitio9.154 Kyvos Insights9.155 LeanXcale9.156 Lexalytics9.157 Lexmark International9.158 Lightbend9.159 Logi Analytics9.160 Logical Clocks9.161 Longview Solutions/Tidemark9.162 Looker Data Sciences9.163 LucidWorks9.164 Luminoso Technologies9.165 Maana9.166 Manthan Software Services9.167 MapD Technologies9.168 MapR Technologies9.169 MariaDB Corporation9.170 MarkLogic Corporation9.171 Mathworks9.172 Melissa9.173 MemSQL9.174 Metric Insights9.175 Microsoft Corporation9.176 MicroStrategy9.177 Minitab9.178 MongoDB9.179 Mu Sigma9.180 NEC Corporation9.181 Neo4j9.182 NetApp9.183 Nimbix9.184 Nokia9.185 NTT Data Corporation9.186 Numerify9.187 NuoDB9.188 NVIDIA Corporation9.189 Objectivity9.190 Oblong Industries9.191 OpenText Corporation9.192 Opera Solutions9.193 Optimal Plus9.194 Oracle Corporation9.195 Palantir Technologies9.196 Panasonic Corporation/Arimo9.197 Panorama Software9.198 Paxata9.199 Pepperdata9.200 Phocas Software9.201 Pivotal Software9.202 Prognoz9.203 Progress Software Corporation9.204 Provalis Research9.205 Pure Storage9.206 PwC (PricewaterhouseCoopers International)9.207 Pyramid Analytics9.208 Qlik9.209 Qrama/Tengu9.210 Quantum Corporation9.211 Qubole9.212 Rackspace9.213 Radius Intelligence9.214 RapidMiner9.215 Recorded Future9.216 Red Hat9.217 Redis Labs9.218 RedPoint Global9.219 Reltio9.220 RStudio9.221 Rubrik/Datos IO9.222 Ryft9.223 Sailthru9.224 Salesforce.com9.225 Salient Management Company9.226 Samsung Group9.227 SAP9.228 SAS Institute9.229 ScaleOut Software9.230 Seagate Technology9.231 Sinequa9.232 SiSense9.233 Sizmek9.234 SnapLogic9.235 Snowflake Computing9.236 Software AG9.237 Splice Machine9.238 Splunk9.239 Strategy Companion Corporation9.240 Stratio9.241 Streamlio9.242 StreamSets9.243 Striim9.244 Sumo Logic9.245 Supermicro (Super Micro Computer)9.246 Syncsort9.247 SynerScope9.248 SYNTASA9.249 Tableau Software9.250 Talend9.251 Tamr9.252 TARGIT9.253 TCS (Tata Consultancy Services)9.254 Teradata Corporation9.255 Thales/Guavus9.256 ThoughtSpot9.257 TIBCO Software9.258 Toshiba Corporation9.259 Transwarp9.260 Trifacta9.261 Unifi Software9.262 Unravel Data9.263 VANTIQ9.264 VMware9.265 VoltDB9.266 WANdisco9.267 Waterline Data9.268 Western Digital Corporation9.269 WhereScape9.270 WiPro9.271 Wolfram Research9.272 Workday9.273 Xplenty9.274 Yellowfin BI9.275 Yseop9.276 Zendesk9.277 Zoomdata9.278 ZucchettiChapter 10: Conclusion & Strategic Recommendations10.1 Why is the Market Poised to Grow?10.2 Geographic Outlook: Which Countries Offer the Highest Growth Potential?10.3 Partnerships & M&A Activity: Highlighting the Importance of Big Data10.4 Driving the Development of Digital Therapeutics10.5 Improving Outcomes, Achieving Operational Efficiency and Reducing Costs10.6 Assessing the Impact of Connected Health Solutions10.7 Accelerating the Transition Towards Value-Based Care10.8 The Emergence of Advanced AI (Artificial Intelligence) & Machine Learning Techniques10.9 The Value of Big Data in Precision Medicine10.10 Addressing Privacy & Security Concerns10.11 The Role of Data Protection Legislation10.12 Blockchain: Enabling Secure, Efficient and Interoperable Data Sharing10.13 Recommendations10.13.1 Big Data Hardware, Software & Professional Services Providers10.13.2 Healthcare & Pharmaceutical Industry Stakeholders For more information about this report visit https://www.researchandmarkets.com/research/w6brtm/big_data?w=12 Did you know that we also offer Custom Research? Visit our Custom Research page to learn more and schedule a meeting with our Custom Research Manager. CONTACT: ResearchAndMarkets.com Laura Wood, Senior Manager press@researchandmarkets.com For E.S.T Office Hours Call 1-917-300-0470 For U.S./CAN Toll Free Call 1-800-526-8630 For GMT Office Hours Call +353-1-416-8900 Related Topics: Big Data, Healthcare Analytics

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