Big Data Healthcare Global Market Report 2025

Big data healthcare refers to big data analytics solutions for the healthcare industry, which helps organizations to make informed decisions and optimize healthcare management by use of big data solutions. Big data analytics allows for examining massive datasets from thousands of patients, identifying clusters and correlations across datasets, and developing predictive models using data mining techniques. In the healthcare market, big data analytics combines research from various fields, including bioinformatics, medical imaging, sensor informatics, medical informatics, and health informatics.

The main components in the big data healthcare market are software and services. Software refers to the use of big data by healthcare practitioners to make prescriptive decisions that influence patient outcomes and operational efficiencies. The big data healthcare is deployed on-premise and cloud. The big data healthcare uses analytics types such as descriptive analytics, predictive analytics, and prescriptive analytics and have applications in financial analytics, clinical data analytics, operational analytics, and population health analytics. The end users of big data healthcare are hospitals and clinics, finance and insurance agents, and a research organization.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

The sharp rise in U.S. tariffs and the ensuing trade tensions in spring 2025 are having a significant impact on the information technology sector, especially in hardware manufacturing, data infrastructure, and software deployment. Increased duties on imported semiconductors, circuit boards, and networking equipment have driven up production and operating costs for tech companies, cloud service providers, and data centers. Firms that depend on globally sourced components for laptops, servers, and consumer electronics are grappling with extended lead times and mounting pricing pressures. At the same time, tariffs on specialized software and retaliatory actions by key international markets have disrupted global IT supply chains and dampened foreign demand for U.S.-made technologies. In response, the sector is ramping up investments in domestic chip production, broadening its supplier network, and leveraging AI-powered automation to improve resilience and manage costs more effectively.

The big data healthcare market research report is one of a series of new reports from The Business Research Company that provides big data healthcare market statistics, including big data healthcare industry global market size, regional shares, competitors with a big data healthcare market share, detailed big data healthcare market segments, market trends and opportunities, and any further data you may need to thrive in the big data healthcare industry. This big data healthcare market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.

The big data healthcare market size has grown rapidly in recent years. It will grow from $28.39 billion in 2024 to $33.64 billion in 2025 at a compound annual growth rate (CAGR) of 18.5%. The growth in the historic period can be attributed to increased adoption of electronic health records (EHRs), rise in health data generation, demand for data-driven insights, shift towards value-based care, early adopters and success stories.

The big data healthcare market size is expected to see exponential growth in the next few years. It will grow to $72.53 billion in 2029 at a compound annual growth rate (CAGR) of 21.2%. The growth in the forecast period can be attributed to regulatory frameworks and compliance, improved healthcare delivery and operational efficiency, global expansion and market penetration, value-based care and population health management initiatives. Major trends in the forecast period include increasing health data volume, advancements in analytics and ai, demand for predictive and preventive healthcare, value-based care and population health management, rise of personalized medicine.

The forecast of 21.2% growth over the next five years reflects a modest reduction of 0.5% from the previous estimate for this market. This reduction is primarily due to the impact of tariffs between the US and other countries. Tariffs could raise barriers to adoption for big data platforms in US healthcare by increasing the cost of high-throughput processing equipment sourced from global suppliers. The effect will also be felt more widely due to reciprocal tariffs and the negative effect on the global economy and trade due to increased trade tensions and restrictions.

The adoption of healthcare information systems is anticipated to propel the growth of the big data healthcare market. A healthcare information system refers to a system that manages healthcare data, encompassing the operational administration of hospitals and supporting the formulation of healthcare policy. These systems gather, store, manage, and transmit patients' electronic medical records (EMRs). Big data analytics in healthcare is utilized to analyze these electronic records, helping to reduce healthcare costs and assist in population health management. This examination of healthcare data ultimately enhances patient care. For instance, a report from the Office of the National Coordinator for Health Information Technology, a US-based government agency, noted that between 2020 and 2022, the usage of patient portals surged, with a 50% increase in the number of patients accessing their portals. By 2022, over half of individuals nationwide reported using an app or patient portal provided by their healthcare provider or insurer to access health information online, and 64% of patients utilized these portals to message their providers more frequently. Therefore, the growing adoption of healthcare information systems is expected to drive the big data healthcare market in the future.

The rising adoption of artificial intelligence (AI) is expected to drive the growth of the big data healthcare market in the future. AI is a branch of computer science dedicated to creating systems and algorithms that enable machines to perform tasks that usually require human intelligence, such as learning, problem-solving, and decision-making. The increasing adoption of AI is fueled by advancements in technology, greater data availability, the need for automation to improve efficiency, and the demand for personalized experiences across various sectors. Big data in healthcare facilitates AI adoption by providing extensive patient information, medical records, and real-time health data, which enables AI to create more accurate predictive models, personalized treatments, and efficient diagnostic tools. For example, a report from the Office for National Statistics, a UK-based government department, indicated that public awareness of AI has increased over the past year. According to the ONS Opinions and Lifestyle Survey conducted in May 2023, 72% of adults could offer at least a partial explanation of AI, compared to 56% in the Centre for Data Ethics and Innovation's Public Attitudes to Data and AI Tracker Survey from June to July 2022. Regarding everyday AI usage, 5% of adults reported using it frequently, while 45% used it occasionally. Thus, the rising adoption of AI is driving growth in the big data healthcare market.

Technological advancements are a significant trend gaining traction in the big data healthcare market. Numerous companies in this sector are developing new products and technologies to enhance their market position. For example, in March 2022, Microsoft Corporation, a US-based technology company, launched Azure Health Data Services. This service is designed to unify healthcare data management, enabling organizations to upload, store, manage, and analyze healthcare data using open standards such as FHIR and DICOM. Azure Health Data Services supports both transactional and analytical workloads from the same data store, allowing organizations to utilize advanced analytics and machine learning tools to extract insights from healthcare data, ultimately improving patient outcomes and operational efficiencies.

Major companies operating in the big data healthcare market are focusing on strategic partnerships and collaborations to improve their big data healthcare offerings. Big data healthcare companies are partnering with each other to develop advanced platforms for accessing big data for healthcare. For instance, in September 2023, LifePoint Health, a US-based provider of diversified healthcare delivery network partnered with Google, a US-based technology and data analytics company, to develop Healthcare Data Engine (HDE) to enhance data interoperability, patient monitoring, and virtual care. This help healthcare providers provide better treatment, HDE compiles and organizes data from clinical trials, research, and other sources.

In April 2022, Omega Healthcare, a US-based provider of healthcare administrative services, acquired ApexonHealth for an undisclosed amount. This acquisition is expected to enhance Omega's existing payor-focused offerings and strengthen its position in the healthcare market by incorporating ApexonHealth's cognitive and automation capabilities, which have notably improved accuracy in claims adjudication. ApexonHealth is a US-based provider of big data solutions in the healthcare sector.

Major companies operating in the big data healthcare market include McKesson Corporation, Cognizant, Epic Systems Corporation, Cerner Corporation, Dell Inc., International Business Machines Corporation, Oracle Corporation, SAP SE, Splunk Inc., Alteryx Inc., BigPanda Inc., Health Catalyst Inc., Optum Inc., Koninklijke Philips N. V., SAS Institute Inc., Allscripts Healthcare Solutions Inc., General Electric Company, Hewlett Packard Enterprise Company LP, Microsoft Corporation, Siemens Healthineers, Teradata, Amazon Web Services Inc., Cloudera Inc., Hortonworks Inc., MapR Technologies Inc., MongoDB Inc., Palantir Technologies Inc., QlikTech International AB, Tableau Software Inc., Talend Inc., TIBCO Software Inc.

North America was the largest region in the big data healthcare market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the big data healthcare market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa

The countries covered in the big data healthcare market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Italy, Canada, Spain.

The big data healthcare market includes revenues earned by entities by providing analytics solutions for understanding of clinical facts and helping the formulation of well-informed decisions regarding the diagnosis and treatment. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Big Data Healthcare Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on big data healthcare market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

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Where is the largest and fastest growing market for big data healthcare ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The big data healthcare market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

• The market characteristics section of the report defines and explains the market.
• The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
• The forecasts are made after considering the major factors currently impacting the market. These include:

The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.

• Market segmentations break down the market into sub markets.
• The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
• The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
• The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.

Scope

• Markets Covered:1) By Component: Software; Services
• 2) By Deployment: On-Premise; Cloud
• 3) By Analytics Type: Descriptive Analytics; Predictive Analytics; Prescriptive Analytics
• 4) By Application: Financial Analytics; Clinical Data Analytics; Operational Analytics; Population Health Analytics
• Subsegments:
• 1) By Software: Data Analytics Software; Data Management Software; Visualization Tools; Electronic Health Record (EHR) Systems; Clinical Decision Support Systems (CDSS)
• 2) By Services: Consulting Services; Data Integration Services; Data Security Services; Managed Services; Training And Support Services
• Companies Mentioned: McKesson Corporation; Cognizant; Epic Systems Corporation; Cerner Corporation; Dell Inc.; International Business Machines Corporation; Oracle Corporation; SAP SE; Splunk Inc.; Alteryx Inc.; BigPanda Inc.; Health Catalyst Inc.; Optum Inc.; Koninklijke Philips N. V.; SAS Institute Inc.; Allscripts Healthcare Solutions Inc.; General Electric Company; Hewlett Packard Enterprise Company LP; Microsoft Corporation; Siemens Healthineers; Teradata; Amazon Web Services Inc.; Cloudera Inc.; Hortonworks Inc.; MapR Technologies Inc.; MongoDB Inc.; Palantir Technologies Inc.; QlikTech International AB; Tableau Software Inc.; Talend Inc.; TIBCO Software Inc.
• Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
• Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
• Time Series: Five years historic and ten years forecast.
• Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
• Data Segmentations: country and regional historic and forecast data, market share of competitors, market segments.
• Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
• Delivery Format: PDF, Word and Excel Data Dashboard.