Global Big Data Analytics in Healthcare Market 2019 Industry Analysis, Size, Share, Growth, Trends - Forecast To 2025

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PUNE, MAHARASTRA, INDIA, November 6, 2019 / -- Big Data Analytics in Healthcare Market 2019-2025


Big data analytics has streamlined the processing of complicated data sets. It has tremendously changed the way of assessing, managing and leveraging data sets in today’s market. However, the healthcare industry is impossible to imagine without this data analytics. Big Data Analytics in Healthcare helps to alleviate treatment expenses, overcome preventable health issues, improve health quality, and so on. In simple words, big data analytics in the healthcare field offers a comprehensive solution by top-notch players of the industry. This complex process can predict multiple platforms in both on-premise as well as cloud deployment.

Big Data Analytics offers a complete analysis of all healthcare-related procedures, ranging from pre-hospitalization to post-hospitalization cost. Since today’s tools and technologies keep on advancing day-by-day, the cloud deployment platform is making major contributions to the approach of big data analytics. This data processing strategy has streamlined various healthcare-related applications, including affordable medication, health insurance planning, diagnosis, etc. All these benefits keep on encouraging business-owners to develop the product in this niche. Big Data Analytics in Healthcare sector is continuously growing and more and more institutions are adopting this procedure to improve their productivity.

It’s no wonder that collecting a plethora of datasets in the medical industry is a matter of huge investment. But, Big Data Analytics in Healthcare has made it easier to gather relevant data pieces and analyze critical insights. The result is a better healthcare service in budget-friendly price structures. The data analytics procedure comes with the goal of using data-driven discoveries to forecast and resolve an issue before it gets beyond control. It also helps to observe inventory, streamline treatment procedures and encourage patients to get conscious about their health, and so on.

In 2018, the global Big Data Analytics in Healthcare market size was 11900 million US$ and it is expected to reach 48500 million US$ by the end of 2025, with a CAGR of 19.2% during 2019-2025.

Top key players: -

Cisco, Cognizant, Health Catalyst, IBM, McKesson, MEDEANALYTICS, Microsoft, Oracle, SAS Institute, Vizient

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Segmentation of Global Big Data Analytics in Healthcare

The Big Data Analytics in Healthcare is divided into services and software, depending on various factors, such as deployment, component, region, end-user, analytics type, and application. When it comes to deployment, the big data analysis is divided into on-premise and cloud. On the contrary, analytics wise, it is bifurcated into predictive analytics, operational analytics, financial analytics, and clinical analytics. When it’s about end-user segment, the analytics is segregated into finance & insurance agencies, hospitals & clinics, and research organizations. However, region-wise, big data analytics is assessed all around Asia-Pacific, LAMEA, Europe, and North America. Overall, segmentation is a comprehensive concept in global big data analytics.

Regional Overview

Global big data analytics in healthcare is spread across many regions across the world, including the United States, China, Europe, India, Japan, Central & South America, and Southeast Asia etc. Within North America, it is the United States, Mexico, and Canada. For Europe, it is Germany, Russia, UK, Italy, and France. When it comes to Asia-Pacific, it is China, India, Japan, Korea, and Southeast Asia. In South America, it is Argentina, Brazil, and Colombia. When it’s about the Middle East and Africa, it is the UAE, Saudi Arabia, South Africa, Egypt, and Nigeria. Big data analytics have vast potential in the Indian healthcare system in terms of saving lives, alleviating costs, and improving treatment quality.

Industry News

Digital devices (such as glucose monitors), mobile devices, and health trackers collect personal health data pieces. But, whenever these datasets start getting bigger, they become a rich source of knowledge. The use of Big Data Analytics in Healthcare does not include all details and circumstances that could result in discrepancies.


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