Between January and September 2024, healthcare organizations in the United States saw 491 large-scale data breaches, resulting in the loss of over 500 records. This figure has increased significantly in the last decade. To date, the highest number of large-scale data breaches in the U.S. healthcare sector was recorded in 2023, with a reported 745 cases.

Diagnosis data of patients and patients in hospitals.

The hospital diagnosis statistics are part of the hospital statistics and have been collected annually from all hospitals since 1993. The statistics include information on the main diagnosis (coded according to ICD-10), length of stay, department and selected sociodemographic characteristics such as age, gender and place of residence, among others.

Basic data of hospitals and preventive care or rehabilitation facilities.

The basic data statistics are part of the hospital statistics. The material and personnel resources of hospitals and preventive or rehabilitation facilities and their specialist departments have been reported annually since 1990.

The aggregated data are freely accessible.

The amount of global healthcare data is expected to increase dramatically by the year 2020. Early estimates from 2013 suggest that there were about 153 exabytes of healthcare data generated in that year. However, projections indicate that there could be as much as 2,314 exabytes of new data generated in 2020.

Introduction

Healthcare Staffing Statistics: Healthcare staffing is a crucial facet of the healthcare industry. Involves the recruitment, hiring, and management of qualified professionals to meet the ever-changing demands of patients and medical institutions.

This intricate process plays a pivotal role in ensuring high-quality patient care by matching individuals' skills and qualifications to specific roles, considering factors like patient load and location.

Effective healthcare staffing requires anticipating staffing needs, managing schedules, addressing turnover, and adhering to regulatory standards.

Inadequate staffing can jeopardize patient safety and care quality. Effective staffing enhances patient outcomes and experiences, making it a cornerstone of healthcare delivery.

In essence, healthcare staffing is a complex, indispensable process that directly impacts patient well-being and the overall success of healthcare organizations. Demanding meticulous planning and unwavering commitment to excellent patient care.

The Big Data In Healthcare Market report segments the industry into By Component (Software, Services), By Deployment (On-premise, Cloud), By Application (Financial Analytics, Clinical Data Analytics, Operational Analytics, Population Health Analytics) and Geography (North America, Europe, Asia-Pacific, Middle East and Africa, South America).

Introduction

Medical Technology and Innovation Statistics: In recent years, there has been a remarkable acceleration in the pace of medical technology advancements. These are driven by factors such as technological advancements, increased funding for research and development, and the growing demand for innovative solutions to address healthcare challenges.

These advancements have the potential to revolutionize various aspects of healthcare delivery, from diagnostics and treatment to patient monitoring and disease prevention.

Big Data Analytics In Healthcare Market size is estimated at USD 37.22 Billion in 2024 and is projected to reach USD 74.82 Billion by 2032, growing at a CAGR of 9.12% from 2026 to 2032.

Big Data Analytics In Healthcare Market: Definition/ Overview

Big Data Analytics in Healthcare, often referred to as health analytics, is the process of collecting, analyzing, and interpreting large volumes of complex health-related data to derive meaningful insights that can enhance healthcare delivery and decision-making. This field encompasses various data types, including electronic health records (EHRs), genomic data, and real-time patient information, allowing healthcare providers to identify patterns, predict outcomes, and improve patient care.

This is an overview document covering the Healthcare workforce as at March 2018 and refers to numbers of staff in three areas: i) Those directly employed by the NHS in Hospital and Community Health Services (HCHS) ii) GPs and their staff iii) A proportion of the staff working in Independent Healthcare Providers (see key facts below). More information on all of these areas are available within the accompanying documents and also via the 'Related Links' section below. This includes a link to a new Independent Healthcare Provider Workforce report. We welcome feedback on any of our publications. Please contact us with your comments and suggestions, clearly stating NHS Workforce as the subject heading, via 0300 303 567

The big data in healthcare market size is estimated to grow from USD 78 billion in 2024 to USD 540 billion by 2035, representing a CAGR of 19.20% till 2035

In 2023, there were more than 809 incidents of data compromises in the healthcare sector in the United States. Reaching its all-time highest. This indicates a significant growth since 2005 when the industry saw only 16 cases of data compromises in the country.

The quality data in this table have been collected from health plans using standardized Health Effectiveness Data and Information Set (HEDIS) and are maintained and provided by the Utah Department of Health, Office of Health Care Statistics. The data span the years from 2010 through 2017. Each year of data represents patient care that occurred in the previous calendar year. This dataset is a sample of the full HEDIS data which is available for purchase from the Office of Health Care Statistics. To request a copy of the data in its entirety, please fill out a data request form located at: http://health.utah.gov/hda/order/view.php?id=10441

Healthcare Big Data Analytics Market Outlook

The global healthcare big data analytics market size is projected to achieve a robust growth trajectory, with a valuation of approximately USD 32 billion in 2023. It is anticipated to soar to around USD 115 billion by 2032, reflecting an impressive compound annual growth rate (CAGR) of 15.4%. This remarkable growth can largely be attributed to the increasing demand for efficient data management systems in the healthcare sector, the rising need for data-driven decision-making, and the expanding adoption of analytics in diverse healthcare applications. The integration of artificial intelligence and machine learning in analytics, the emphasis on personalized medicine, and the growing importance of predictive analytics are further propelling the market forward.

One of the key growth drivers in the healthcare big data analytics market is the rising necessity for cost reduction and improved operational efficiency within the healthcare sector. Hospitals and clinics are increasingly recognizing the value of analytics in streamlining processes, reducing waste, and enhancing patient care. By leveraging big data analytics, healthcare providers can gain insights into patient care patterns, optimize resource allocation, and minimize unnecessary expenditures. This drive towards efficiency is further bolstered by government initiatives and policies aimed at improving healthcare delivery and reducing costs, creating a fertile ground for the adoption of advanced analytics solutions.

Another significant factor contributing to the market's expansion is the growing emphasis on personalized and precision medicine. As healthcare providers aim to offer more tailored treatment options, the analysis of vast datasets becomes crucial. Big data analytics facilitates the identification of patterns and trends in patient data, enabling healthcare providers to make informed decisions regarding personalized treatment plans. Moreover, the continuous advancements in genomics and biotechnology are generating immense volumes of data, necessitating robust analytics solutions to derive actionable insights. This trend towards personalized care is expected to drive substantial investments in big data analytics technologies in the coming years.

Additionally, the increasing prevalence of chronic diseases and the aging global population are driving the demand for effective population health management. Big data analytics plays a pivotal role in analyzing population health trends, identifying at-risk individuals, and devising preventive strategies. Governments and healthcare organizations are increasingly focusing on population health analytics to enhance public health outcomes and reduce the burden on healthcare infrastructure. This growing demand for comprehensive population health management solutions is expected to be a significant driving force for the healthcare big data analytics market over the forecast period.

Healthcare Analytics & Medical Analytics are becoming increasingly vital in the pursuit of personalized and precision medicine. By leveraging these analytics, healthcare providers can delve deeper into patient data to uncover insights that inform individualized treatment plans. This approach not only enhances patient outcomes but also optimizes the use of healthcare resources. As the demand for personalized care continues to rise, the role of healthcare analytics in tailoring treatments to individual patient needs is expected to grow exponentially. The integration of advanced analytics tools into healthcare systems is facilitating a shift towards more patient-centric care models, thereby driving the adoption of these technologies across the sector.

The regional outlook for the healthcare big data analytics market shows a diverse growth pattern across different geographies. North America currently holds a significant share of the market, driven by the presence of advanced healthcare infrastructure, a high level of digitalization, and a strong focus on research and development. Europe is also witnessing considerable growth, with countries like Germany and the United Kingdom leading the charge in the adoption of analytics solutions. Meanwhile, the Asia Pacific region is poised to experience the fastest growth, fueled by rapid technological advancements, increasing healthcare investments, and the need to address healthcare challenges in densely populated regions. Latin America and the Middle East & Africa are expected to show steady growth, driven by improving healthcare infrastruct

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Healthcare Analytics Market Size 2025-2029

The healthcare analytics market size is forecast to increase by USD 81.28 billion, at a CAGR of 25% between 2024 and 2029.

The market is experiencing significant growth due to several key trends. The integration of big data with healthcare analytics is a major growth factor, enabling healthcare providers to make data-driven decisions and improve patient outcomes.
Another trend is the increasing use of Internet-enabled mobile devices in healthcare services, allowing for remote monitoring and real-time data access. However, data security and privacy concerns remain a challenge, with the need for strong security measures to protect sensitive patient information. These trends are shaping the future of patient engagement and driving growth in the global healthcare analytics market as well.

What will be the Size of the Healthcare Analytics Market During the Forecast Period?

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The market is experiencing significant growth due to the increasing adoption of digital solutions for improving patient care and reducing treatment costs. Healthcare organizations are leveraging descriptive analytics to gain insights from clinical data, while predictive and prescriptive analytics enable the development of personalized treatment plans and optimal therapeutic strategies. Financial analytics help manage healthcare expenses, ensuring cost-effective patient care. The National Institutes of Health (NIH) and other research institutions are driving innovation in health data analytics, leading to advancements in areas such as patient compliance, medication selection, and disease management. Industry leaders are utilizing artificial intelligence and machine learning to enhance clinical care, outreach, and disease management, ultimately leading to better treatment consistency and optimal outcomes for patients.

How is this Healthcare Analytics Industry segmented and which is the largest segment?

The healthcare analytics industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Component

  Services
  Software
  Hardware


Deployment

  On-premise
  Cloud-based


Type

  Descriptive Analysis
  Predictive Analysis
  Prescriptive and Diagnostics


Application

  Financial Analytics
  Clinical Analytics
  Operations and Administrative Analytics
  Population Health Analytics


End-User

  Insurance Company
  Government Agencies
  Healthcare Providers
  Pharmaceutical and Medical Device Companies


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    Italy
    UK


  APAC

    China
    India
    Japan
    South Korea


  South America



  Middle East and Africa

By Component Insights

The services segment is estimated to witness significant growth during the forecast period. Healthcare analytics services encompass consulting, learning and training, development and integration, hardware maintenance and support, IT management, process management, and software support. The consulting and software support segments are experiencing significant growth due to the increasing demand for advanced healthcare delivery systems and cost-effective models. The healthcare sector's ongoing transition from on-premises to cloud-based software and IT infrastructure deployment is another growth driver. This shift is expected to increase the demand for IT education and training services. End-users of these services range from individual doctor offices to full-service hospitals and multi-location clinics, including large hospitals and tissue and blood processing organizations.

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The services segment was valued at USD 6.7 billion in 2019 and showed a gradual increase during the forecast period.

Regional Analysis

APAC is estimated to contribute 36% to the growth of the global market during the forecast period. Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

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The North American market is driven by the increasing demand for secure data access and effective patient information management. The US and Canada are the primary contributors to this market due to their early adoption of advanced technologies, such as machine learning, predictive analytics, and quantum computing, across various industries. These technologies enable the healthcare sector to optimize patient compliance, medication selection, and therapeutic strategies and, ultimately, achieve optimal outcomes. Major companies in this market provide solutions to help healthcare organizations manage and

Premier Pts is a company that specializes in providing real-time sports data and analytics to various clients. As a leading provider of sports data, Premier Pts offers a vast array of information, including team and player statistics, game scores, and betting odds.

The company's data collection process involves scraping relevant information from various sports websites, online publications, and official sports organizations. With a strong focus on accuracy and timeliness, Premier Pts ensures that its data is up-to-date and reliable, making it a go-to source for sports enthusiasts, researchers, and businesses alike.

The MZG is a registration with which all non-psychiatric hospitals in Belgium must make their (anonymised) administrative, medical and nursing data available to the Federal Public Service (FPS) Public Health. The aim of the MZG is to support the government's health policy by

• Determining the needs for hospital facilities;
• Describing the qualitative and quantitative accreditation standards of hospitals and their services;
• Organising the financing of hospitals;
• Determining policy for the practice of medicine;
• To outline epidemiological policy.

The MZG aims also to support the health policy of hospitals by providing national and individual feedback so that a hospital can compare itself with other hospitals and adapt its internal policy.

All reports can be found here (in French/Dutch).

The Healthcare Data Monetization Market report segments the industry into By Type (Direct Data Monetization, Indirect Data Monetization), By Deployment (On-premise, Cloud), By End User (Pharmaceutical and Biotechnology Companies, Healthcare Providers, Healthcare Payers, Medical Technology Companies), and By Geography (North America, Europe, Asia-Pacific, Rest of the World).

Healthcare Data Storage Market size was valued at USD 3.97 Billion in 2024 and is projected to reach USD 10.27 Billion by 2032, growing at a CAGR of 13.90% during the forecast period 2026-2032.Global Healthcare Data Storage Market DriversThe market drivers for the Healthcare Data Storage Market can be influenced by various factors. These may include:Growing volume of healthcare data: The amount of data produced by healthcare providers has increased dramatically as a result of the digitalization of medical records. This covers genomic information, medical imaging, electronic health records (EHRs), and more. To handle this data, healthcare institutions need effective and safe storage options.Severe laws and compliance requirements: HIPAA (Health Insurance Portability and Accountability Act) in the US and GDPR (General Data Protection Regulation) in Europe are two examples of the severe laws that apply to healthcare data. In order to protect patient information, these requirements mandate that healthcare organisations employ secure data storage solutions.Cloud storage is becoming more and more popular since it is affordable, flexible, and scalable, which appeals to healthcare institutions. Adoption is accelerated by cloud storage companies' provision of specialised healthcare cloud solutions that meet legal and regulatory standards.Technological developments: Artificial intelligence (AI), machine learning (ML), and big data analytics are some of the technologies that are revolutionising healthcare. To handle the massive volumes of data collected and analysed, these technologies need reliable data storage systems.Growing need for data interoperability: In order to enhance patient care coordination and results, healthcare providers are placing a greater emphasis on interoperability. This calls for the smooth transfer of medical data between various systems, which calls for trustworthy data storage options.Escalating healthcare expenses: There is pressure on healthcare institutions to save expenses without sacrificing care quality. Healthcare data management and storage operations can be made more cost-effective with the use of efficient data storage solutions.Growing comprehension of data security's significance Healthcare data breaches may result in severe repercussions, such as monetary losses and reputational harm. To safeguard patient data from online dangers, healthcare institutions are investing in secure data storage solutions.

This statistic shows the size of the global big data analytics services market related to healthcare in 2016 and a forecast for 2025, by application. It is predicted that by 2025 the market for health-related financial analytics services using big data will increase to over 13 billion U.S. dollars.

The summary statistics by North American Industry Classification System (NAICS) which include: operating revenue (dollars x 1,000,000), operating expenses (dollars x 1,000,000), salaries wages and benefits (dollars x 1,000,000), and operating profit margin (by percent), for home health care services (NAICS 621610) and services for the elderly and persons with disabilities (NAICS 624120), annual, Canada.

IMA-AIM can provide you with detailed data on the health care system in Belgium. Their data collection includes information on the reimbursed care and medicines of the 11 million citizens insured in our country. The data is collected by the 7 health insurance funds and processed, analysed and made available for research by IMA-AIM.

The seven health insurance funds in Belgium collect a lot of data about their members in order to be able to carry out their tasks. IMA-AIM brings these data together in databases for the purpose of analysis and research. The databases contain three types of data: population data (demographic and socio-economic characteristics), information about reimbursed health care and information about reimbursed medicines.

The Permanent Sample (EPS) is a longitudinal dataset containing data from the Population, Health Care and Pharmanet databases, as well as data on hospitalisations. The data are available in separate datasets per calendar year. The aim of EPS is to make the administrative data of the health insurance funds permanently available to a number of federal and regional partners. More information about the EPS: https://metadata.ima-aim.be/nl/app/bdds/Ps