The complete data set of annual utilization data reported by primary care clinics contains basic clinic identification information including community services, clinic staffing data, and patient and staff language data; financial information including gross revenue, itemized write-offs by program, an income statement, and selected capital project items; and information on encounters by service, principal diagnosis, and procedure codes (CPT codes). These products provide trend utilization information for primary care clinics in the form of tables and pivot tables. The primary care clinic trends resource includes information on the number of clinics by type, the number of patients (by race, ethnicity, gender and age), the number of encounters by payer source; and revenues by payer source including the average revenue per encounter.
Specialty clinics include freestanding surgical, chronic dialysis, and rehabilitation clinics as well as alternative birth centers. The complete data set of annual utilization data reported by specialty clinics contains descriptive information on services and encounters, basic information including the number of surgical operating rooms, number of surgeries performed, number of patients, number of encounters by service type, staffing, and major capital expenditures. Also included are type of ownership and payment source information.The documentation, including report forms, is available for each reporting year.
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Vietnam Number of Healthcare Centre: Hospital & Clinic data was reported at 1,664.000 Unit in 2017. This records a decrease from the previous number of 1,686.000 Unit for 2016. Vietnam Number of Healthcare Centre: Hospital & Clinic data is updated yearly, averaging 1,754.000 Unit from Sep 1991 (Median) to 2017, with 27 observations. The data reached an all-time high of 1,952.000 Unit in 1996 and a record low of 1,550.000 Unit in 1991. Vietnam Number of Healthcare Centre: Hospital & Clinic data remains active status in CEIC and is reported by General Statistics Office. The data is categorized under Global Database’s Vietnam – Table VN.G056: Health Statistics: Number of Healthcare Centre.
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Provide the human resources information of our country's clinics for public use.
City of Chicago Mental Health, Sexually Transmitted Infection (STI) Specialty, and Women Infant Children (WIC) clinic locations, hours of operation and contact information.
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Provide our country's clinic department information for public use.
From the Web site: The American Hospital Directory® provides data, statistics, and analytics about more than 7,000 hospitals nationwide. AHD.com® hospital information includes both public and private sources such as Medicare claims data, hospital cost reports, and commercial licensors. AHD® is not affiliated with the American Hospital Association (AHA) and is not a source for AHA Data. Our data are evidence-based and derived from the most definitive sources.
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Vietnam Number of Bed: Hospital & Clinic data was reported at 246.300 Unit in 2017. This records a decrease from the previous number of 249.400 Unit for 2016. Vietnam Number of Bed: Hospital & Clinic data is updated yearly, averaging 141.300 Unit from Sep 1991 (Median) to 2017, with 27 observations. The data reached an all-time high of 249.400 Unit in 2016 and a record low of 111.800 Unit in 1993. Vietnam Number of Bed: Hospital & Clinic data remains active status in CEIC and is reported by General Statistics Office. The data is categorized under Global Database’s Vietnam – Table VN.G057: Health Statistics: Number of Bed for Healthcare Centre.
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Korea Number of Doctors: Clinic data was reported at 36,314.000 Person in 2014. This records an increase from the previous number of 35,399.000 Person for 2013. Korea Number of Doctors: Clinic data is updated yearly, averaging 31,785.500 Person from Dec 2001 (Median) to 2014, with 14 observations. The data reached an all-time high of 36,314.000 Person in 2014 and a record low of 23,724.000 Person in 2001. Korea Number of Doctors: Clinic data remains active status in CEIC and is reported by Statistics Korea. The data is categorized under Global Database’s Korea – Table KR.G072: Health Statistics: Number of Medical Staffs: By Types of Health Care Centre (Annual).
Since 2005, the Diagnosis Related Groups (DRG) statistics have provided annual information on morbidity events and morbidity trends in inpatient care, as well as on the volume and structure of demand for services, over and above the existing official hospital statistics. In particular, type of illness, case-flat-rate hospital statistic (DRGs), operations and procedures as well as length of stay and department are collected.
The aggregated data are freely accessible.
In 2023, there were nearly 11 thousand hospitals in Columbia, the highest number among OECD countries, followed by 8,156 hospitals in Japan. If only general hospitals were counted (excluding mental health hospitals and other specialized hospitals), Japan had the most number of general hospitals among OECD countries worldwide. Most countries reported hospitals numbers similar to or lower than the previous year. Meanwhile, Mexico, South Korea and the Netherlands all reported more hospitals than last year.
Of the surveyed U.S. mobile health clinics that reported their funding sources, the two most common responses were philanthropic support and government funding. This statistic shows the percentage of mobile health clinics in the United States that reported receiving funds from select sources, in the period 2007 to 2017.
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.
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Market Introduction
Attribute | Detail |
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Clinical Data Analytics Market Drivers |
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Clinical Data Analytics Market Regional Insights
Attribute | Detail |
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Leading Region | North America |
Global Clinical Data Analytics Market Snapshot
Attribute | Detail |
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Market Size in 2023 | US$ 15.5 Bn |
Market Forecast (Value) in 2034 | US$ 614.7 Bn |
Growth Rate (CAGR) | 39.7% |
Forecast Period | 2024-2034 |
Historical Data Available for | 2020-2022 |
Quantitative Units | US$ Bn for Value |
Market Analysis | It includes segment analysis as well as regional level analysis. Moreover, qualitative analysis includes drivers, restraints, opportunities, key trends, Porter’s Five Forces analysis, value chain analysis, and key trend analysis. |
Competition Landscape |
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Format | Electronic (PDF) + Excel |
Market Segmentation |
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Regions Covered |
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Countries Covered |
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Companies Profiled |
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Customization Scope | Available Upon Request |
Pricing | Available Upon Request |
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Laos Number of Prophylactic: Private Clinic data was reported at 1,050.000 Unit in 2016. This records a decrease from the previous number of 1,054.000 Unit for 2015. Laos Number of Prophylactic: Private Clinic data is updated yearly, averaging 298.000 Unit from Dec 2002 (Median) to 2016, with 15 observations. The data reached an all-time high of 1,133.000 Unit in 2012 and a record low of 147.000 Unit in 2005. Laos Number of Prophylactic: Private Clinic data remains active status in CEIC and is reported by Lao Statistics Bureau. The data is categorized under Global Database’s Laos – Table LA.G018: Health Statistics.
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Korea Number of Clinic: Sejong data was reported at 72.000 Unit in 2014. This records an increase from the previous number of 55.000 Unit for 2013. Korea Number of Clinic: Sejong data is updated yearly, averaging 72.000 Unit from Dec 2012 (Median) to 2014, with 3 observations. The data reached an all-time high of 93.000 Unit in 2012 and a record low of 55.000 Unit in 2013. Korea Number of Clinic: Sejong data remains active status in CEIC and is reported by Statistics Korea. The data is categorized under Global Database’s Korea – Table KR.G070: Health Statistics: Number of Health Care Centre: By Province (Annual).
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Korea Number of Medical Staffs: Oriental Medicine Clinic data was reported at 28,613.000 Person in 2014. This records an increase from the previous number of 27,341.000 Person for 2013. Korea Number of Medical Staffs: Oriental Medicine Clinic data is updated yearly, averaging 22,967.500 Person from Dec 2001 (Median) to 2014, with 14 observations. The data reached an all-time high of 28,613.000 Person in 2014 and a record low of 15,037.000 Person in 2001. Korea Number of Medical Staffs: Oriental Medicine Clinic data remains active status in CEIC and is reported by Statistics Korea. The data is categorized under Global Database’s Korea – Table KR.G072: Health Statistics: Number of Medical Staffs: By Types of Health Care Centre (Annual).
After May 3, 2024, this dataset and webpage will no longer be updated because hospitals are no longer required to report data on COVID-19 hospital admissions, and hospital capacity and occupancy data, to HHS through CDC’s National Healthcare Safety Network. Data voluntarily reported to NHSN after May 1, 2024, will be available starting May 10, 2024, at COVID Data Tracker Hospitalizations. The following dataset provides state-aggregated data for hospital utilization in a timeseries format dating back to January 1, 2020. These are derived from reports with facility-level granularity across three main sources: (1) HHS TeleTracking, (2) reporting provided directly to HHS Protect by state/territorial health departments on behalf of their healthcare facilities and (3) National Healthcare Safety Network (before July 15). The file will be updated regularly and provides the latest values reported by each facility within the last four days for all time. This allows for a more comprehensive picture of the hospital utilization within a state by ensuring a hospital is represented, even if they miss a single day of reporting. No statistical analysis is applied to account for non-response and/or to account for missing data. The below table displays one value for each field (i.e., column). Sometimes, reports for a given facility will be provided to more than one reporting source: HHS TeleTracking, NHSN, and HHS Protect. When this occurs, to ensure that there are not duplicate reports, prioritization is applied to the numbers for each facility. On April 27, 2022 the following pediatric fields were added: all_pediatric_inpatient_bed_occupied all_pediatric_inpatient_bed_occupied_coverage all_pediatric_inpatient_beds all_pediatric_inpatient_beds_coverage previous_day_admission_pediatric_covid_confirmed_0_4 previous_day_admission_pediatric_covid_confirmed_0_4_coverage previous_day_admission_pediatric_covid_confirmed_12_17 previous_day_admission_pediatric_covid_confirmed_12_17_coverage previous_day_admission_pediatric_covid_confirmed_5_11 previous_day_admission_pediatric_covid_confirmed_5_11_coverage previous_day_admission_pediatric_covid_confirmed_unknown previous_day_admission_pediatric_covid_confirmed_unknown_coverage staffed_icu_pediatric_patients_confirmed_covid staffed_icu_pediatric_patients_confirmed_covid_coverage staffed_pediatric_icu_bed_occupancy staffed_pediatric_icu_bed_occupancy_coverage total_staffed_pediatric_icu_beds total_staffed_pediatric_icu_beds_coverage On January 19, 2022, the following fields have been added to this dataset: inpatient_beds_used_covid inpatient_beds_used_covid_coverage On September 17, 2021, this data set has had the following fields added: icu_patients_confirmed_influenza, icu_patients_confirmed_influenza_coverage, previous_day_admission_influenza_confirmed, previous_day_admission_influenza_confirmed_coverage, previous_day_deaths_covid_and_influenza, previous_day_deaths_covid_and_influenza_coverage, previous_day_deaths_influenza, previous_day_deaths_influenza_coverage, total_patients_hospitalized_confirmed_influenza, total_patients_hospitalized_confirmed_influenza_and_covid, total_patients_hospitalized_confirmed_influenza_and_covid_coverage, total_patients_hospitalized_confirmed_influenza_coverage On September 13, 2021, this data set has had the following fields added: on_hand_supply_therapeutic_a_casirivimab_imdevimab_courses, on_hand_supply_therapeutic_b_bamlanivimab_courses, on_hand_supply_therapeutic_c_bamlanivimab_etesevimab_courses, previous_week_therapeutic_a_casirivimab_imdevimab_courses_used, previous_week_therapeutic_b_bamlanivimab_courses_used, previous_week_therapeutic_c_bamlanivima
As per our latest research, the global clinical data analytics market size reached USD 12.8 billion in 2024, reflecting robust momentum driven by the increasing adoption of digital health technologies and the growing emphasis on data-driven decision-making in healthcare. The market is expected to expand at a CAGR of 24.1% from 2025 to 2033, with the forecasted market size projected to reach USD 86.7 billion by 2033. This remarkable growth trajectory is primarily fueled by the rising need for advanced analytics to improve patient outcomes, optimize operational efficiency, and comply with stringent regulatory requirements. The integration of artificial intelligence and machine learning into clinical data analytics platforms is further enhancing the market’s value proposition, making it an indispensable tool for modern healthcare organizations globally.
A key growth driver for the clinical data analytics market is the exponential increase in healthcare data generation, stemming from widespread adoption of electronic health records (EHRs), wearable devices, and connected health systems. Healthcare institutions are increasingly leveraging clinical data analytics solutions to extract actionable insights from these vast data pools, enabling more accurate diagnoses, personalized treatment plans, and proactive disease management. The need to reduce healthcare costs while maintaining high standards of patient care is compelling providers to adopt analytics-driven approaches. Clinical data analytics helps identify inefficiencies, detect patterns in patient care, and predict adverse events, which collectively contribute to improved clinical outcomes and operational savings.
Another significant growth factor is the rising prevalence of chronic diseases and the aging global population, which are placing unprecedented pressure on healthcare systems worldwide. Clinical data analytics empowers providers to stratify patient populations, monitor disease progression, and implement targeted interventions for high-risk groups. The ability to harness predictive analytics for early detection and prevention of complications is especially valuable in managing chronic conditions such as diabetes, cardiovascular diseases, and cancer. Moreover, the growing focus on value-based care models is incentivizing healthcare organizations to invest in analytics platforms that can demonstrate measurable improvements in quality and efficiency, further propelling market expansion.
The increasing regulatory scrutiny and demand for compliance with healthcare standards such as HIPAA, GDPR, and other regional data protection laws are also accelerating market growth. Clinical data analytics platforms are being designed with robust security and privacy features to ensure the safe handling of sensitive patient information. This not only helps organizations avoid costly penalties but also builds trust among patients, clinicians, and stakeholders. Additionally, the ongoing digital transformation in healthcare, supported by government initiatives and funding programs, is creating a favorable environment for the adoption of advanced analytics solutions across hospitals, clinics, research organizations, and pharmaceutical companies.
Regionally, North America continues to dominate the clinical data analytics market, accounting for the largest share due to its advanced healthcare infrastructure, high adoption of digital technologies, and supportive regulatory landscape. Europe follows closely, driven by strong government support for digital health initiatives and increasing investments in healthcare IT. The Asia Pacific region is emerging as a high-growth market, fueled by rapid healthcare modernization, rising healthcare expenditures, and growing awareness of the benefits of analytics. Latin America and the Middle East & Africa are also witnessing steady growth, albeit from a smaller base, as healthcare providers in these regions increasingly recognize the value of data-driven decision-making.
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Korea Number of Dentists: Clinic data was reported at 0.000 Person in 2014. This records a decrease from the previous number of 1.000 Person for 2013. Korea Number of Dentists: Clinic data is updated yearly, averaging 6.000 Person from Dec 2001 (Median) to 2014, with 14 observations. The data reached an all-time high of 60.000 Person in 2001 and a record low of 0.000 Person in 2014. Korea Number of Dentists: Clinic data remains active status in CEIC and is reported by Statistics Korea. The data is categorized under Global Database’s Korea – Table KR.G072: Health Statistics: Number of Medical Staffs: By Types of Health Care Centre (Annual).
The complete data set of annual utilization data reported by primary care clinics contains basic clinic identification information including community services, clinic staffing data, and patient and staff language data; financial information including gross revenue, itemized write-offs by program, an income statement, and selected capital project items; and information on encounters by service, principal diagnosis, and procedure codes (CPT codes). These products provide trend utilization information for primary care clinics in the form of tables and pivot tables. The primary care clinic trends resource includes information on the number of clinics by type, the number of patients (by race, ethnicity, gender and age), the number of encounters by payer source; and revenues by payer source including the average revenue per encounter.