Global Big Data Analytics in Healthcare Market – Analysis and Forecast (2023-2030)

Industry Insights by Solution (Services, Hardware, and Software), by Deployment Type (Cloud, and On-Premise), by End User (Finance & Insurance Agencies, Hospitals & Clinics, and Research Organization)

Industry Overview

Big-data are the sets of complex and large data sets that help in efficiently managing complex and large data processing applications. The extensive adoption of big data analytics in the healthcare industry has further availed enhanced capabilities of monitoring behavior of patient towards a precise therapy. These services are considered to be a cost-effective alternative and gaining huge popularity for the big data analytics market in healthcare domain.

The big data analytics in healthcare market refers to the use of advanced analytics techniques and technologies to extract insights and valuable information from large and complex healthcare data sets. This market encompasses various tools, platforms, and solutions that enable healthcare organizations to collect, store, manage, and analyze vast amounts of healthcare data for improved decision-making, patient care, and operational efficiency.

Market Segmentation

Insight by Solution

Based on solutions, the big data analytics in healthcare market is categorized into services, hardware and software. Among these solutions, services segment is anticipated to witness the fastest growth during the forecast period. The services offered by big data analytics in healthcare market supplements prevailing data warehouse and investments towards business intelligence tools.

Insight by Deployment Type

On the basis of deployment type, the big data analytics in healthcare market is categorized into cloud, and on-premise deployment. Among these two deployment types, cloud deployment is anticipated to witness fastest growth during the forecast period. With the help of cloud-based deployments users are able to access applications from any location.

Insight by End User

Based upon end user, the big data analytics in healthcare market is segmented into finance & insurance agencies, hospitals & clinics, and research organization. Among these segments, hospitals & clinics segment occupy largest share in the big data analytics in healthcare market. Big data in this segment is used for predicting diseases outcome that further helps the patients in improving their quality of life and prevent premature diseases and death. Big data analytics is also beneficial in this segment for epidemiological research and in clinical medicine for detection purpose.

Industry Dynamics

Growth Drivers

The increasing technological advancements, extensive use of cloud technology, penetration of digitalization in medicine and increasing demand for analytic solutions are the major factors driving the growth of big data analytics in healthcare market globally. Increasing advancements in technology has led to the increasing penetration of big data into healthcare domain that provides greater help in analysis of a patient, which can be extensively used for both pre-therapy as well as post therapy. Furthermore, the increasing indulgence towards cloud technology in the healthcare sector is another factor pertaining towards the growth of big data analytics in healthcare market across the globe.

Increasing volume and variety of healthcare data: With the digitization of medical records, the adoption of electronic health records (EHRs), and the proliferation of connected medical devices, healthcare organizations are generating massive amounts of data. Big data analytics helps to process and analyze this data to uncover patterns, trends, and insights that can drive better clinical outcomes.

Demand for personalized medicine and precision healthcare: Big data analytics enables healthcare providers to analyze large datasets containing patient information, genetic data, and clinical trial data to develop personalized treatment plans and deliver precision medicine. It helps identify patient-specific risk factors, predict disease progression, and optimize treatment strategies.

Growing focus on cost containment and operational efficiency: Healthcare organizations are under increasing pressure to reduce costs, improve operational efficiency, and optimize resource allocation. Big data analytics can identify areas of waste, improve supply chain management, optimize staffing levels, and streamline administrative processes, leading to cost savings and operational improvements.

Emphasis on population health management: Big data analytics plays a crucial role in population health management, allowing healthcare providers to analyze aggregated patient data to identify high-risk populations, monitor disease outbreaks, track public health trends, and implement preventive interventions at the population level.

Advancements in technology: The advancement of technologies such as artificial intelligence (AI), machine learning (ML), natural language processing (NLP), and cloud computing have significantly enhanced the capabilities of big data analytics in healthcare. These technologies enable more sophisticated analysis, real-time insights, and scalability for handling large and complex healthcare datasets.

Challenges

Lack of knowledge about the significance of big data analysis in healthcare sector is the key challenge observed by big data analytics solution providers, globally. Data security over cloud platform is another factor posing a key challenge to the growth of the market.

Industry Ecosystem

Globally industry players are leveraging market growth through the development of innovative solutions in the big data analytics in healthcare market. The key vendors are enhancing their offerings in order to meet evolving demand of the customers and are gaining first mover advantage in big data analytics in healthcare market globally.

Geographic Overview

Geographically, North America holds largest share in the big data analytics in healthcare market due to increasing advancement and acknowledgment of big data analytics in the healthcare sector. Furthermore, this region is witnessing early growth in the digitalization process and increasing acceptance of big data analytical services in healthcare domain that has further aggravated the growth of the big data analytics in healthcare market in this region.

Moreover, big data analytics in healthcare market in Asia-Pacific is anticipated fastest growth during the forecast period due to increasing initiatives undertaken by the government authorities to integrate big data in health care sector and increase deployment of big data services through the cloud. Furthermore, it has been observed that the service provided by big data analytics is cost-efficient and avails improved analytical information that further drives the growth of the big data analytics in healthcare market in this region.

Competitive Insight

Key players in big data analytics in healthcare market are developing new products in order to tap large market base and gain competitive advantage.  For instance, Merck and Palantir Technologies are developing joint venture for its research domain called Syntropy in order to provide data analytics tools to various healthcare enterprises. The prominent players in the big data analytics in healthcare market across the globe are  Microsoft Corporation, Oracle Corporation, McKesson Corporation, Vizient, Inc, IBM Corporation, Cognizant, Health Catalyst, Cisco Systems Inc. SAS Institute Inc. and Medeanalytics, Inc.