Big Data in the Healthcare – Pharmaceutical Market Expected to Success at a CAGR of 12% By 2030

Albany, Jan 24, 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.

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.

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SNS Telecom & IT 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 Big Data in the Healthcare & Pharmaceutical Industry: 2018 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 2018 to 2030.

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List of Companies Mentioned

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1010 data
ACR (American College of Radiology)
Actian Corporation
Adaptive Insights
Adobe Systems
Advizor Solutions
AFS Technologies
Ambient Clinical Analytics
Ambulance Victoria
AMD (Advanced Micro Devices)

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Harsha Mohata

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Source :RMOZ

This article was originally published by IssueWire. Read the original article here.

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