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Report explores the big data in healthcare & pharmaceutical industry

Medical Market Research

Through the use of Big Data technologies in Healthcare & Pharmaceutical Market, 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%. Learn details of the Opportunities, Challenges, Strategies & Forecasts

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Big Data technologies in Healthcar…maceutical Market 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. 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.

Addressing privacy and security concerns is necessary in order to fully leverage the benefits of Big Data in the healthcare and pharmaceutical industry.

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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.

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 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

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.

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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 and more.

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