Big Data in Healthcare Market

Big Data in Healthcare Market by Product & Service (Hardware/Software and Services), Type (Descriptive Analytics, Predictive Analytics, Prescriptive Analytics, and Diagnostic Analytics), Deployment (On-premise, Cloud, and Hybrid), Application (Clinical Data Management, Patient Management, and Others), and Geography (North America, Europe, Asia-Pacific, and Rest of the World) is expected to grow at a robust CAGR forecast till 2032 owing to the rising prevalence of chronic disease and increasing technological innovations and product launches.

The big data in healthcare market is estimated to grow at a CAGR of 20.11% during the forecast period from 2025 to 2032 to reach USD 338.96 billion by 2032. The demand for big data in healthcare is rising significantly, driven by the increasing prevalence of chronic diseases. Big data enables risk stratification, early intervention, and long-term care planning for aging and high-risk populations. Key factors such as the growing adoption of electronic health records (EHRs), the rise of digital health solutions, and continuous advancements in data analytics and technological innovation are creating a favorable environment for sustained market growth. As a result, the big data in healthcare market is poised for robust and steady expansion from 2025 to 2032.

Big Data in Healthcare Market Dynamics:

According to GLOBOCAN (2024), approximately 20 million new cancer cases were reported globally in 2022, with this number projected to rise to 32.6 million by 2045. According to the data provided by the WHO (2024), Eastern Mediterranean Region alone, over 788,000 cancer diagnoses were recorded in 2022, a figure expected to nearly double to around 1.57 million by 2045. Big data analytics plays a crucial role in identifying cancer risk factors by analyzing genetic profiles, lifestyle data, and environmental exposures. It also supports early diagnosis through advanced image analysis and pattern recognition in pathology reports.

Similarly, cardiovascular diseases are increasing worldwide. Data from the British Heart Foundation (2024) revealed that approximately 640 million people were affected by heart and circulatory diseases globally, with around 67 million new diagnoses each year. Patients with heart conditions benefit from real-time data collection via wearable devices and IoT-enabled monitors, which help prevent complications and reduce emergency visits. Therefore, the rising prevalence of chronic diseases such as cancer and cardiovascular disorders are the key drivers for the big data in healthcare market.

Additionally, the growing adoption of electronic health records (EHRs) and digital health tools is fueling market growth. According to the European Commission (2024), 79% of healthcare providers had adopted EHRs in 2023, up from 72% the previous year. Big data aggregates patient information across various systems to create comprehensive profiles that enhance care coordination and analytics.

Key market players continue to introduce innovative and advanced tools to support data-driven healthcare. For example, in October 2023, Microsoft launched big data and AI solutions designed to help healthcare organizations unlock insights and improve experiences for both patients and clinicians. Such product launches are further propelling the growth of big data in healthcare market.

However, the data privacy and security concerns and high development & implementation costs, among others, are some of the key constraints that may limit the growth of big data in healthcare market.

Big Data in Healthcare Market Segment Analysis:

Big Data in Healthcare Market by Product & Service (Hardware/Software and Services), Type (Descriptive Analytics, Predictive Analytics, Prescriptive Analytics, and Diagnostic Analytics), Deployment (On-premise, Cloud, and Hybrid), Application (Clinical Data Management, Patient Management, and Others), and Geography (North America, Europe, Asia-Pacific, and Rest of the World)

In the type segment of the big data in healthcare market, the predictive analytics category is estimated to account for the largest market share in 2024. This growth is primarily driven by the increasing global prevalence of chronic diseases and the wide-ranging benefits predictive analytics offers in healthcare applications.

Predictive analytics enables early detection and prevention by identifying at-risk individuals before symptoms appear, using historical health data, genetic profiles, and lifestyle patterns. This allows for early interventions that can prevent disease onset or delay its progression. Additionally, predictive models can identify patients at high risk of hospital readmission within 30 days after discharge. This capability supports targeted follow-up care, medication reconciliation, and remote monitoring that ultimately reduces readmission rates, associated costs, and financial penalties for healthcare providers.

Another key advantage of predictive analytics is its ability to support personalized treatment planning. By analyzing genomic, demographic, and clinical data, predictive tools can tailor treatment strategies to individual patients, improving therapeutic effectiveness and minimizing adverse drug reactions.

Moreover, ongoing innovation by industry players is further accelerating the growth of this category. For example, in April 2024, Verana Health® launched its Qdata® Thyroid Eye Disease (TED) module, a highly curated dataset containing real-world data (RWD) from over 250,000 de-identified patients. This tool extracts diagnoses from clinical notes within electronic health records (EHRs), enhancing the precision and utility of predictive models in clinical settings.

Therefore, the combination of clinical advantages, growing disease burden, and product launches by key industry players is expected to drive substantial growth in the predictive analytics segment, thereby contributing significantly to the expansion of the overall big data in healthcare market during the forecast period of 2025 to 2032.

North America is expected to dominate the overall big data in healthcare market:

North America is projected to hold the largest share of the big data in healthcare market in 2024, driven by several key factors. This regional dominance is primarily attributed to the rising prevalence of chronic diseases and supportive regulatory policies from government agencies. Additionally, increased partnerships and collaboration among healthcare and technology companies for the development and launch of big data solutions are further fueling market growth in the region. Together, these factors solidify North America’s position as the dominant region in the global big data in healthcare market.

According to GLOBOCAN (2024), in 2022, cancer cases in the U.S. reached 2.38 million and were projected to rise to 2.79 million by 2030. The American Cancer Society (2025) also estimated 2.04 million new cancer cases in 2025. This surge is boosting demand for big data that offers personalized treatment planning, early detection, and therapy simulation.

Cardiovascular disease is another major driver. The CDC (2024) reported that in 2022, around 6.2 million adults in the U.S. had heart failure, and 20.5 million were living with coronary heart disease (CHD). Big data helps in early diagnosis, risk prediction, and tailored treatment simulations, enhancing cardiac care.

According to a report from the Centers for Disease Control and Prevention (CDC) published in September 2023, approximately 6.7 million individuals aged 65 and older were living with Alzheimer’s disease in the United States, and this number was projected to reach 13.9 million by 2060. Big data tools are emerging as a promising tool in Alzheimer's disease (AD) research and care. They can be used to model disease progression, predict outcomes, personalize treatments, and potentially accelerate drug discovery and clinical trials.

The growing adoption of Electronic Health Record (EHR) solutions is significantly driving the growth of the big data in healthcare market in the region. According to data from the American Hospital Association (2022), over 96% of hospitals and 78% of office-based physicians in the U.S. had adopted EHR systems, aiming to enhance patient outcomes and streamline care delivery.

In addition, key industry players are actively pursuing strategic collaborations and partnerships to further develop and integrate big data technologies into healthcare operations. For example, in August 2023, HCA Healthcare, one of the nation’s leading healthcare providers, announced a collaboration with Google Cloud to harness generative AI technologies. This initiative is focused on improving clinical workflows by automating time-consuming tasks such as clinical documentation, allowing physicians and nurses to spend more time on direct patient care.

Collectively, the rising prevalence of chronic disease coupled with increased adoption of digital health tools and innovative product launches, is driving substantial growth in the North America big data in healthcare market, solidifying its position as a key market within the global landscape.

Big Data in Healthcare Market Key Players:

Some of the key market players operating in the big data in healthcare market include IBM, Google LLC, Koninklijke Philips N.V., TEMPUS, Epic Systems Corporation, The Apache Software Foundation, Cloudian Object Storage, Microsoft, Yalantis, Altair Engineering Inc., Oracle, Flatiron Health, Kaiser Permanente, Palantir Technologies Inc., GE HealthCare, UnitedHealth Group, Innovaccer, Health Catalyst, Apixio, and others.

Recent Developmental Activities in the Big Data in Healthcare Market:

• In June 2025, Databricks and Synapxe announced a strategic partnership to accelerate data and AI-enabled innovation in Singapore’s public healthcare system. As part of this collaboration, Synapxe will adopt the Databricks Data Intelligence Platform to power HEALIX, a next-generation national data platform for health. This partnership aims to enhance real-time insights, strengthen data security, and promote data democratization across Singapore’s healthcare ecosystem.
• In July 2024, Verana Health and HealthVerity announced a partnership aimed at advancing the use of real-world evidence (RWE) in healthcare research. This collaboration is designed to enhance research capabilities by providing deeper, more comprehensive insights into patient populations. By combining Verana Health’s curated real-world data with HealthVerity’s privacy-preserving data ecosystem, the partnership is expected to foster innovation in patient care and support more informed decision-making across clinical and research settings.
• In October 2023, Fujitsu and TOPPAN Holdings announced a collaboration to expand their presence in the medical big data business. The partnership focuses on utilizing anonymized electronic medical record (EMR) data to support drug development and enhance medical support services. By leveraging advanced data analytics, the collaboration aims to accelerate innovation in pharmaceutical research and contribute to more efficient, data-driven healthcare solutions. 

Key takeaways from the big data in healthcare market report study

• Market size analysis for the current big data in healthcare market size (2024), and market forecast for 8 years (2025 to 2032)
• Top key product/technology developments, mergers, acquisitions, partnerships, and joint ventures happened over the last 3 years.
• Key companies dominating the big data in healthcare market.
• Various opportunities available for the other competitors in the big data in healthcare market space.
• What are the top-performing segments in 2024? How these segments will perform in 2032?
• Which are the top-performing regions and countries in the current big data in healthcare market scenario?
• Which are the regions and countries where companies should have concentrated on opportunities for big data in healthcare market growth in the future?

Target audience who can benefit from this big data in healthcare market report study

• Big data in healthcare product providers
• Research organizations and consulting companies
• Big data in healthcare-related organizations, associations, forums, and other alliances
• Government and corporate offices
• Start-up companies, venture capitalists, and private equity firms
• Distributors and traders dealing in big data in healthcare
• Various end-users who want to know more about the big data in healthcare market and the latest technological developments in the big data in healthcare market. 

Frequently Asked Questions for the Big Data in Healthcare Market:

1. What is big data in healthcare?

Big data in healthcare refers to the collection, analysis, and use of large, complex health data sets that cannot be managed with traditional software tools. These datasets come from diverse sources and are analyzed to improve patient care, public health, operations, and decision-making.

2. What is the market for big data in healthcare?

The big data in healthcare market is estimated to grow at a CAGR of 20.11% during the forecast period from 2025 to 2032 to reach USD 338.96 billion by 2032.

3. What are the drivers for big data in healthcare market?

The demand for big data in healthcare is rising significantly, driven by the increasing prevalence of chronic diseases. Big data enables risk stratification, early intervention, and long-term care planning for aging and high-risk populations. Key factors such as the growing adoption of electronic health records (EHRs), the rise of digital health solutions, and continuous advancements in data analytics and technological innovation are creating a favorable environment for sustained market growth. As a result, the big data in healthcare market is poised for robust and steady expansion from 2025 to 2032.

4. Who are the key players operating in the big data in healthcare market?

Some of the key market players operating in the big data in healthcare market include IBM, Google LLC, Koninklijke Philips N.V., TEMPUS, Epic Systems Corporation, The Apache Software Foundation, Cloudian Object Storage, Microsoft, Yalantis, Altair Engineering Inc., Oracle, Flatiron Health, Kaiser Permanente, Palantir Technologies Inc., GE HealthCare, UnitedHealth Group, Innovaccer, Health Catalyst, Apixio, and others.

5. Which region has the highest share of the big data in healthcare market?

North America is projected to hold the largest share of the big data in healthcare market in 2024, driven by several key factors. This regional dominance is primarily attributed to the rising prevalence of chronic diseases and supportive regulatory policies from government agencies. Additionally, increased partnerships and collaboration among healthcare and technology companies for the development and launch of big data solutions are further fueling market growth in the region. Together, these factors solidify North America’s position as the dominant region in the global big data in healthcare market.