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Home Artificial Intelligence

Big Data Analytics in Healthcare Market Navigating Business with CAGR of 16.7% with Revenue of $134.9 billion by 2032

April 15, 2025
in Artificial Intelligence, OpenPR, Web3
Reading Time: 7 mins read
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Big Data Analytics in Healthcare Market

Big Data Analytics in Healthcare Market

According to the report, the global big data in healthcare market was valued at $16.87 billion in 2017 and is expected to attain $67.82 billion by 2025, registering a CAGR of 19.1% during the forecast period.

Big Data Analytics in Healthcare refers to the process of examining large and complex healthcare datasets-often too vast for traditional data processing methods-to uncover insights that can improve medical outcomes, reduce costs, and streamline operations.

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The growth of the big data analytics in the healthcare market is driven by factors such as increase in adoption of big data in the healthcare industry, surge in demand for analytics solution to aid population health management, and shift in preference from a pay-for-service model to a value-based care model.

However, issues related to data security and dearth of skilled workforce are expected to hamper the market growth in the future. On the contrary, growing inclination toward cloud-based analytics solutions and emerging trend in healthcare such as telehealth and innovations in genomics are expected to create lucrative opportunities for the market players in the coming future.

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The big data analytics in healthcare market is poised for continued growth, with advancements in AI and ML driving innovation in patient care, operational efficiency, and decision-making processes. As healthcare systems worldwide strive for improved outcomes and cost-effectiveness, the demand for sophisticated analytics solutions is expected to rise.

Based on components, the software segment occupied more than two-thirds share of the global market in 2017 and is projected to maintain its dominance through 2025, owing to surge in electronic patient records and mammoth amount of clinical data that need analysis. However, the services segment is expected to register the fastest CAGR of 21.3% during the forecast period, on account of the growing requirement for training, planning, maintenance, and support services while implementing the healthcare analytics software.

The cloud-based deployment model is expected to register the fastest CAGR of 20.8%, owing to its benefit over the on-premise model such as no capital cost, low maintenance, faster data processing, and efficient resource utilization. However, the on-premise segment held the largest share in 2017, contributing about 59.3% of total share and is expected to continue its dominance.

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Prescriptive analysis segment is expected to grow at the fastest CAGR of 20.3%, as it helps in preventing errors made by doctors while filling out prescriptions, which enhances the overall patient treatment and performance of healthcare systems. However, the predictive analytics segment is used to analyze customer spending and other optimizable behaviors, owing to which it remains the largest segment, contributing about one-third of the global market value. Based on analytics, the market is further segmented into descriptive analytics and diagnostic analytics.

Based on application, clinical analytics segment accounted for more than half of the total market share in 2017 and is expected to dominate the market throughout the forecast period, owing to rise in investments in population health and adoption of clinical analytics in subsequent management. However, financial analytics segment is expected to grow at the fastest CAGR of 21.6% owing to its growing adoption by healthcare organizations, as they need to increase their financial returns from technological investments. Moreover, the operational analytics segment would exhibit steady growth during the forecast period.

Accounting for more than half of the total generated revenue in 2017, hospitals & clinics segment was the largest end user of big data analytics, due to increased demand for optimized care services and reduction in hospital expenditure. However, the finance & insurance agencies segment is expected to manifest the fastest CAGR of 21.6% during the forecast period, owing to rise in demand for big data analytics in the decision-making process of health insurance policies and financial investment in the healthcare sector. Another segment of research organization is also analyzed in the report.

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Europe is projected to witness the highest CAGR of 21.8% through 2025 during the forecast period. The government agencies of various countries such as the UK, Germany, Sweden, and the Netherlands have demanded valuable insights on the hospitalization process as well as a robust analysis on long-term public health, fueling the rise of big data in the healthcare market. However, North America is projected to remain the dominant region, holding more than half of the total market share through 2025, as it was the early adopter of big data analytics in healthcare. The other regions such as Asia-Pacific and Latin America, Middle East and Africa (LAMEA) are also analyzed in the report.

Key market players:

The key players analyzed in the report include Allscripts, Cerner Corporation, Dell EMC, Epic System Corporation, GE Healthcare, Hewlett Packard Enterprise Development LP, International Business Machines (IBM) Corporation, Microsoft, Optum, Inc., and Oracle Corporation. They have adopted different strategies including collaborations, joint ventures, partnerships, expansions, mergers & acquisitions, and others to gain a strong position in the industry.

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Allied Market Research (AMR) is a full-service market research and business-consulting wing of Allied Analytics LLP, based in Portland, Oregon. AMR provides global enterprises as well as medium and small businesses with unmatched quality of “Market Research Reports” and “Business Intelligence Solutions.” AMR has a targeted view to provide business insights and consulting to assist its clients in making strategic business decisions and achieving sustainable growth in their respective market domains.

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This release was published on openPR.

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