23 datasets found
  1. Hospital bed density in urban and rural China 2021

    • statista.com
    Updated Nov 24, 2025
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    Statista (2025). Hospital bed density in urban and rural China 2021 [Dataset]. https://www.statista.com/statistics/1098672/china-urban-and-rural-disparity-in-hospital-beds/
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    Dataset updated
    Nov 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2021
    Area covered
    China
    Description

    Residents of the rural China had fewer healthcare facilities and resources than those residing in urban regions. In 2021, there were only **** hospital beds available per 1,000 people in the rural areas of China.

  2. Number of available hospital beds per 1,000 people in China 2014-2029

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Number of available hospital beds per 1,000 people in China 2014-2029 [Dataset]. https://www.statista.com/forecasts/1140633/hospital-bed-density-forecast-in-china
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    China
    Description

    The average number of hospital beds available per 1,000 people in China was forecast to continuously increase between 2024 and 2029 by in total *** beds (+***** percent). After the eighth consecutive increasing year, the number of available beds per 1,000 people is estimated to reach **** beds and therefore a new peak in 2029. Depicted is the number of hospital beds per capita in the country or region at hand. As defined by World Bank this includes inpatient beds in general, specialized, public and private hospitals as well as rehabilitation centers.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to *** countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the average number of hospital beds available per 1,000 people in countries like Japan and South Korea.

  3. G

    Hospital beds per 1,000 people by country, around the world |...

    • theglobaleconomy.com
    csv, excel, xml
    Updated Jan 23, 2021
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    Globalen LLC (2021). Hospital beds per 1,000 people by country, around the world | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/rankings/hospital_beds_per_1000_people/
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    xml, csv, excelAvailable download formats
    Dataset updated
    Jan 23, 2021
    Dataset authored and provided by
    Globalen LLC
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 31, 1960 - Dec 31, 2021
    Area covered
    World
    Description

    The average for 2020 based on 36 countries was 4.44 hospital beds. The highest value was in South Korea: 12.65 hospital beds and the lowest value was in Mexico: 0.99 hospital beds. The indicator is available from 1960 to 2021. Below is a chart for all countries where data are available.

  4. Medical personnel density in urban and rural China 2023

    • statista.com
    Updated Oct 15, 2024
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    Statista (2024). Medical personnel density in urban and rural China 2023 [Dataset]. https://www.statista.com/statistics/1364402/china-healthcare-personnel-density-in-urban-and-rural-regions/
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    Dataset updated
    Oct 15, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    China
    Description

    In 2023, there were **** physicians and **** registered nurses serving every 1,000 inhabitants in Chinese urban areas, while the density of healthcare personnel was significantly lower in the countryside. Although China has more than a million healthcare facilities nationwide, structural inequalities between health services in urban and rural areas remain a long-term challenge.

  5. A four-stage DEA-based efficiency evaluation of public hospitals in China...

    • plos.figshare.com
    zip
    Updated May 30, 2023
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    Wanhui Zheng; Hong Sun; Peilin Zhang; Guojiang Zhou; Quanyu Jin; Xiaoqin Lu (2023). A four-stage DEA-based efficiency evaluation of public hospitals in China after the implementation of new medical reforms [Dataset]. http://doi.org/10.1371/journal.pone.0203780
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    zipAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Wanhui Zheng; Hong Sun; Peilin Zhang; Guojiang Zhou; Quanyu Jin; Xiaoqin Lu
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    China
    Description

    This study applied the non-parametric four-stage data envelopment analysis method (Four-Stage DEA) to measure the relative efficiencies of Chinese public hospitals from 2010 to 2016, and to determine how efficiencies were affected by eight factors. A sample of public hospitals (n = 84) was selected from Chongqing, China, including general hospitals and traditional Chinese medicine hospitals graded level 2 or above. The Four-Stage-DEA method was chosen since it enables the control of the impact of environment factors on efficiency evaluation results. Data on the number of staff, government financial subsidies, the number of beds and fixed assets were used as input whereas the number of out-patients and emergency department patients and visits, the number of discharged patients, medical and health service income and hospital bed utilization rate were chosen as study outputs. As relevant environmental variables, we selected GDP per capita, permanent population, population density, number of hospitals and number of available sickbeds in local medical institutions. The relative efficiencies (i.e. technical, pure technical, scale) of sample hospitals were also calculated to analyze the change between the first stage and fourth stage every year. The study found that Four-Stage-DEA can effectively filter the impact of environmental factors on evaluation results, which sets it apart from other models commonly used in existing studies.

  6. Number of available hospital beds per 1,000 people in Japan 2014-2029

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Number of available hospital beds per 1,000 people in Japan 2014-2029 [Dataset]. https://www.statista.com/forecasts/1140678/hospital-bed-density-forecast-in-japan
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Japan
    Description

    The average number of hospital beds available per 1,000 people in Japan was forecast to continuously decrease between 2024 and 2029 by in total *** beds (-*** percent). After the fifteenth consecutive decreasing year, the number of available beds per 1,000 people is estimated to reach ***** beds and therefore a new minimum in 2029. Depicted is the number of hospital beds per capita in the country or region at hand. As defined by World Bank this includes inpatient beds in general, specialized, public and private hospitals as well as rehabilitation centers.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to *** countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the average number of hospital beds available per 1,000 people in countries like China and South Korea.

  7. f

    Supplementary file 1_Joint spatiotemporal evaluation of multiple healthcare...

    • figshare.com
    pdf
    Updated Sep 12, 2025
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    Xin Qi; Mingyu Xie; Yaqian He; Xianteng Tang; Lingfeng Liao; Yaling Luo; Kaiwei Lin; Xiang Yan; Xiuli Wang; Yuanyuan Zhu; Zhangying Tang; Yumeng Zhang; Chao Song; Jay Pan (2025). Supplementary file 1_Joint spatiotemporal evaluation of multiple healthcare resources: hospitals, hospital beds and physicians across 365 Chinese cities over 22 years.pdf [Dataset]. http://doi.org/10.3389/fpubh.2025.1642295.s001
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    pdfAvailable download formats
    Dataset updated
    Sep 12, 2025
    Dataset provided by
    Frontiers
    Authors
    Xin Qi; Mingyu Xie; Yaqian He; Xianteng Tang; Lingfeng Liao; Yaling Luo; Kaiwei Lin; Xiang Yan; Xiuli Wang; Yuanyuan Zhu; Zhangying Tang; Yumeng Zhang; Chao Song; Jay Pan
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    BackgroundRegional disparities in healthcare resource allocation across space and time present significant challenges to the global achievement of SDG 3, SDG 10, and SDG 11. To this end, we proposed a joint spatiotemporal evaluation framework to assess the synergistic efficiency of multiple healthcare resources.MethodsUsing China as a case study, we analyzed data from 365 cities (2000–2021) on three key healthcare resource indicators: hospitals, hospital beds, and physicians. A composite healthcare resource score was constructed using the entropy weight method. We developed a three-dimensional joint spatiotemporal evaluation framework incorporating spatial Gini coefficient, emerging hotspot analysis, and Bayesian spatiotemporally varying coefficients (BSTVC) model with spatiotemporal variance partitioning index (STVPI) to evaluate spatiotemporal equity, agglomeration, and influencing factors. Individual indicators were evaluated to validate the framework’s robustness.Results(i) Spatiotemporal description: The composite indicator, weighted by hospitals (25%), hospital beds (46%), and physicians (29%), showed only a modest increase from 2000 to 2021, with persistently lower values in western and northern regions. (ii) Common spatiotemporal equity: The spatial Gini coefficient for the composite indicator increased annually by 0.34%, mirroring trends in hospital beds (0.34%) and physicians (0.26%) but contrasting with hospitals (−0.32%). This suggested that declining equity was mainly driven by hospital beds and physicians, partially offset by the more balanced distribution of hospitals. (iii) Common spatiotemporal agglomeration: Hotspot intensity for the composite indicator was lower than that for hospitals but higher than that for hospital beds and physicians. Cold spots were more concentrated for the composite indicator than for any individual indicator, with less than 10% overlap across the three indicators, indicating weak regional synergy. (iv) Common spatiotemporal drivers: BSTVC and STVPI methods revealed consistent patterns of explainable percentages across four healthcare resource indicators, with population density (37.96%, 95% CI: 30.05–43.05%) and employed population density (31.63%, 30.69–33.83%) emerging as dominant common drivers, supporting unified and coordinated policy interventions.DiscussionWe proposed a joint spatiotemporal evaluation framework to quantify both common and differentiated allocation patterns and driving factors across multiple healthcare resource indicators, highlighting the necessity for type-specific, temporally responsive, and spatially adaptive interventions to support dynamic monitoring and precise regulation of regional healthcare resource allocation globally.

  8. s

    Citation Trends for "Medical condition, population density, and residents’...

    • shibatadb.com
    Updated Jan 1, 2020
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    Yubetsu (2020). Citation Trends for "Medical condition, population density, and residents’ savings in China’s contiguous destitute areas" [Dataset]. https://www.shibatadb.com/article/YoLTPKTi
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    Dataset updated
    Jan 1, 2020
    Dataset authored and provided by
    Yubetsu
    License

    https://www.shibatadb.com/license/data/proprietary/v1.0/license.txthttps://www.shibatadb.com/license/data/proprietary/v1.0/license.txt

    Time period covered
    2021 - 2025
    Area covered
    China
    Variables measured
    New Citations per Year
    Description

    Yearly citation counts for the publication titled "Medical condition, population density, and residents’ savings in China’s contiguous destitute areas".

  9. Definitions and data source of input/output metrics and environmental...

    • plos.figshare.com
    xls
    Updated May 31, 2023
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    Wanhui Zheng; Hong Sun; Peilin Zhang; Guojiang Zhou; Quanyu Jin; Xiaoqin Lu (2023). Definitions and data source of input/output metrics and environmental variables. [Dataset]. http://doi.org/10.1371/journal.pone.0203780.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Wanhui Zheng; Hong Sun; Peilin Zhang; Guojiang Zhou; Quanyu Jin; Xiaoqin Lu
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Definitions and data source of input/output metrics and environmental variables.

  10. H

    HDI PCB for Medical Devices Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated Oct 15, 2025
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    Archive Market Research (2025). HDI PCB for Medical Devices Report [Dataset]. https://www.archivemarketresearch.com/reports/hdi-pcb-for-medical-devices-833526
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    ppt, pdf, docAvailable download formats
    Dataset updated
    Oct 15, 2025
    Dataset authored and provided by
    Archive Market Research
    License

    https://www.archivemarketresearch.com/privacy-policyhttps://www.archivemarketresearch.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    Explore the booming HDI PCB for Medical Devices market! Discover market size, CAGR, growth drivers, restraints, key applications (portable, implantable, surgical), and leading companies shaping the future of healthcare technology.

  11. Adjusted result of original input for Stage 3 from 2010 to 2016.

    • plos.figshare.com
    xls
    Updated Jun 1, 2023
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    Wanhui Zheng; Hong Sun; Peilin Zhang; Guojiang Zhou; Quanyu Jin; Xiaoqin Lu (2023). Adjusted result of original input for Stage 3 from 2010 to 2016. [Dataset]. http://doi.org/10.1371/journal.pone.0203780.t006
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Wanhui Zheng; Hong Sun; Peilin Zhang; Guojiang Zhou; Quanyu Jin; Xiaoqin Lu
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Adjusted result of original input for Stage 3 from 2010 to 2016.

  12. Descriptive statistics of inputs/outputs variables from 2010 to 2016.

    • plos.figshare.com
    xls
    Updated Jun 8, 2023
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    Wanhui Zheng; Hong Sun; Peilin Zhang; Guojiang Zhou; Quanyu Jin; Xiaoqin Lu (2023). Descriptive statistics of inputs/outputs variables from 2010 to 2016. [Dataset]. http://doi.org/10.1371/journal.pone.0203780.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 8, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Wanhui Zheng; Hong Sun; Peilin Zhang; Guojiang Zhou; Quanyu Jin; Xiaoqin Lu
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Descriptive statistics of inputs/outputs variables from 2010 to 2016.

  13. R

    Intravenous Fluid Bags Market Research Report 2033

    • researchintelo.com
    csv, pdf, pptx
    Updated Aug 13, 2025
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    Research Intelo (2025). Intravenous Fluid Bags Market Research Report 2033 [Dataset]. https://researchintelo.com/report/intravenous-fluid-bags-market
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    pptx, csv, pdfAvailable download formats
    Dataset updated
    Aug 13, 2025
    Dataset authored and provided by
    Research Intelo
    License

    https://researchintelo.com/privacy-and-policyhttps://researchintelo.com/privacy-and-policy

    Time period covered
    2024 - 2033
    Area covered
    Global
    Description

    Intravenous Fluid Bags Market Outlook



    According to our latest research, the Global Intravenous Fluid Bags market size was valued at $3.4 billion in 2024 and is projected to reach $6.1 billion by 2033, expanding at a robust CAGR of 6.8% during the forecast period of 2025–2033. A primary driver of this substantial growth is the increasing prevalence of chronic diseases and the rising number of surgical procedures globally, which has significantly boosted the demand for intravenous (IV) therapy in both acute and chronic care settings. The market is also benefiting from advancements in material science, leading to the development of safer and more durable IV fluid bags, further propelling adoption across a wide spectrum of healthcare facilities.



    Regional Outlook



    North America currently holds the largest share of the global intravenous fluid bags market, accounting for approximately 36% of the total market value in 2024. This dominance can be attributed to the region’s highly developed healthcare infrastructure, widespread adoption of advanced medical technologies, and a strong focus on patient safety. The presence of leading industry players and stringent regulatory standards for medical devices have fostered a mature and competitive market environment. Additionally, the high incidence of lifestyle-related disorders and chronic illnesses such as diabetes and cardiovascular diseases in the United States and Canada has led to a steady increase in hospital admissions, thereby fueling consistent demand for IV fluid bags. Reimbursement policies and government initiatives aimed at improving healthcare delivery further reinforce the region’s leadership position in the global market.



    The Asia Pacific region is poised to be the fastest-growing market for intravenous fluid bags, projected to register a remarkable CAGR of 8.2% between 2025 and 2033. This growth trajectory is driven by rising healthcare expenditure, rapid urbanization, and an expanding patient pool due to increasing population density in countries like China, India, and Japan. Government investments in healthcare infrastructure and the proliferation of private hospitals are fostering greater access to advanced medical treatments, including IV therapy. Moreover, the region is witnessing a surge in partnerships between local manufacturers and international players, facilitating technology transfer and the introduction of innovative products tailored to regional needs. The Asia Pacific market’s dynamism is further enhanced by favorable regulatory reforms and a growing emphasis on quality standards in medical consumables.



    Emerging economies in Latin America and the Middle East & Africa are experiencing gradual but steady market growth, albeit at a slower pace compared to developed regions. The adoption of intravenous fluid bags in these areas is often hampered by challenges such as limited healthcare infrastructure, lower healthcare spending, and regulatory bottlenecks. However, localized demand is being driven by the increasing burden of infectious diseases and maternal health issues, prompting governments and NGOs to prioritize improvements in basic healthcare delivery. Efforts to streamline procurement processes, coupled with targeted awareness campaigns and training programs for healthcare professionals, are gradually improving market penetration. Despite these advances, the pace of adoption remains uneven, highlighting the need for tailored strategies to address region-specific barriers and capitalize on latent growth opportunities.



    Report Scope





    Attributes Details
    Report Title Intravenous Fluid Bags Market Research Report 2033
    By Product Type PVC IV Fluid Bags, Non-PVC IV Fluid Bags, Single Chamber, Multi-Chamber
    By Material Polyvinyl Chloride, Polypropylene, Polyethylene, Others
    By Capacity 0-250 ml, 250-500 ml, 500-1000 ml, Above 1000 ml
    By Ap

  14. Descriptive statistics of environment variables from 2010 to 2016.

    • plos.figshare.com
    xls
    Updated Jun 1, 2023
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    Wanhui Zheng; Hong Sun; Peilin Zhang; Guojiang Zhou; Quanyu Jin; Xiaoqin Lu (2023). Descriptive statistics of environment variables from 2010 to 2016. [Dataset]. http://doi.org/10.1371/journal.pone.0203780.t003
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Wanhui Zheng; Hong Sun; Peilin Zhang; Guojiang Zhou; Quanyu Jin; Xiaoqin Lu
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Descriptive statistics of environment variables from 2010 to 2016.

  15. Relative efficiency and frequency distribution of sampled hospitals at Stage...

    • plos.figshare.com
    xls
    Updated Jun 2, 2023
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    Wanhui Zheng; Hong Sun; Peilin Zhang; Guojiang Zhou; Quanyu Jin; Xiaoqin Lu (2023). Relative efficiency and frequency distribution of sampled hospitals at Stage 1 from 2010 to 2016. [Dataset]. http://doi.org/10.1371/journal.pone.0203780.t004
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Wanhui Zheng; Hong Sun; Peilin Zhang; Guojiang Zhou; Quanyu Jin; Xiaoqin Lu
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Relative efficiency and frequency distribution of sampled hospitals at Stage 1 from 2010 to 2016.

  16. Womens Health Diagnostics Market Analysis North America, Europe, Asia, Rest...

    • technavio.com
    pdf
    Updated Jul 12, 2024
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    Technavio (2024). Womens Health Diagnostics Market Analysis North America, Europe, Asia, Rest of World (ROW) - US, China, France, Canada, UK - Size and Forecast 2024-2028 [Dataset]. https://www.technavio.com/report/womens-health-diagnostics-market-analysis
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    pdfAvailable download formats
    Dataset updated
    Jul 12, 2024
    Dataset provided by
    TechNavio
    Authors
    Technavio
    License

    https://www.technavio.com/content/privacy-noticehttps://www.technavio.com/content/privacy-notice

    Time period covered
    2024 - 2028
    Area covered
    France, Canada, China, United States, United Kingdom
    Description

    Snapshot img

    Womens Health Diagnostics Market Size 2024-2028

    The womens health diagnostics market size is forecast to increase by USD 14.61 billion at a CAGR of 8.09% between 2023 and 2028.

    The women's health diagnostics market is experiencing significant growth due to several key factors. The increasing prevalence of breast cancer worldwide is driving market demand, as early and accurate medical diagnostics is crucial for effective treatment. 
    Another trend is the global adoption of advanced diagnostic solutions, which offer improved accuracy and efficiency compared to traditional methods. Stringent regulatory bodies are also guiding manufacturers of in-vitro diagnostics to ensure product safety and quality, further boosting market growth. These factors are expected to continue shaping the women's health diagnostics market In the coming years.
    

    What will be the Size of the Womens Health Diagnostics Market During the Forecast Period?

    Request Free Sample

    The Women's Health Diagnostics Market encompasses a range of medical diagnostic devices and techniques aimed at detecting various conditions unique to women. Key diseases include breast, ovarian, and cervical cancers, as well as infectious diseases such as hepatitis and urinary tract infections. Diagnostic methods span imaging techniques like Breast MRI and ultrasound, bone density testing for osteoporosis, and breast cancer biopsy devices for cancer diagnosis. 
    The geriatric female population is a significant market driver, given the increased prevalence of chronic conditions like cancer and osteoporosis. Medical science continues to advance, leading to the development of more sophisticated diagnostic tools and tests for pregnancy and menopause.
    The market also caters to infectious diseases, with a growing focus on HIV/AIDS and other sexually transmitted infections. Overall, the Women's Health Diagnostics market is a vital sector in healthcare, providing essential tools for early detection and effective treatment of various conditions.
    

    How is this Womens Health Diagnostics Industry segmented and which is the largest segment?

    The womens health diagnostics industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

    Application
    
      Breast cancer testing
      Infectious disease testing
      STD testing
      Cervical cancer testing
      Others
    
    
    End-user
    
      Hospitals and clinics
      Diagnostic and imaging centers
      Home care settings
    
    
    Geography
    
      North America
    
        Canada
        US
    
    
      Europe
    
        UK
        France
    
    
      Asia
    
        China
    
    
      Rest of World (ROW)
    

    By Application Insights

    The breast cancer testing segment is estimated to witness significant growth during the forecast period.
    

    Women's health diagnostics encompass various medical tests and devices used to identify and manage conditions such as breast cancer, ovarian cancer, cervical cancer, menopause, pregnancy, and chronic conditions like osteoporosis and infectious diseases. Breast cancer diagnosis primarily relies on biopsy procedures, where a specialized needle and imaging techniques, such as mammography or ultrasound, guide the doctor to extract tissue samples for laboratory analysis. Biopsy devices, ultrasound devices, mammography systems, and diagnostic tests are essential medical diagnostics tools. The geriatric female population, hospitals and clinics, diagnostic centers, and home care settings utilize these devices. Diagnostic tests for breast cancer, cervical cancer, ovarian cancer, prenatal genetic screening, and infectious diseases like hepatitis, urinary tract infection, and HIV/AIDS are crucial.

    Medical science advances continue to introduce new technologies, such as bone density testing, MRI, and genomic testing, to enhance diagnostic accuracy and patient care. Healthcare expenditure on diagnostic devices, accessories, and consumables is significant, with emerging countries increasingly investing in these technologies.

    Get a glance at the Womens Health Diagnostics Industry report of share of various segments Request Free Sample

    The Breast cancer testing segment was valued at USD 6.56 billion in 2018 and showed a gradual increase during the forecast period.

    Regional Analysis

    North America is estimated to contribute 43% 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.

    For more insights on the market share of various regions, Request Free Sample

    In North America, the adoption of advanced diagnostic technologies for women's health has been on the rise due to increasing healthcare expenditure, growing awareness about chronic diseases such as breast, ovarian, and cervical cancer, and the availability

  17. f

    Regression analysis of environmental factors and input slack variables for...

    • plos.figshare.com
    xls
    Updated May 30, 2023
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    Wanhui Zheng; Hong Sun; Peilin Zhang; Guojiang Zhou; Quanyu Jin; Xiaoqin Lu (2023). Regression analysis of environmental factors and input slack variables for Stage 2 from 2010 to2016. [Dataset]. http://doi.org/10.1371/journal.pone.0203780.t005
    Explore at:
    xlsAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Wanhui Zheng; Hong Sun; Peilin Zhang; Guojiang Zhou; Quanyu Jin; Xiaoqin Lu
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Regression analysis of environmental factors and input slack variables for Stage 2 from 2010 to2016.

  18. Comparison between the relative efficiencies calculated by Four-Stage-DEA...

    • plos.figshare.com
    xls
    Updated Jun 1, 2023
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    Wanhui Zheng; Hong Sun; Peilin Zhang; Guojiang Zhou; Quanyu Jin; Xiaoqin Lu (2023). Comparison between the relative efficiencies calculated by Four-Stage-DEA during step1 and step 4 during 2010–2016. [Dataset]. http://doi.org/10.1371/journal.pone.0203780.t007
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Wanhui Zheng; Hong Sun; Peilin Zhang; Guojiang Zhou; Quanyu Jin; Xiaoqin Lu
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Comparison between the relative efficiencies calculated by Four-Stage-DEA during step1 and step 4 during 2010–2016.

  19. Data from: Liver cancer mapping based on actual medical treatment choices

    • tandf.figshare.com
    pdf
    Updated Jul 31, 2023
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    Min Weng; Tingting Liu; Mengjun Kang (2023). Liver cancer mapping based on actual medical treatment choices [Dataset]. http://doi.org/10.6084/m9.figshare.5633830.v1
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    pdfAvailable download formats
    Dataset updated
    Jul 31, 2023
    Dataset provided by
    Taylor & Francishttps://taylorandfrancis.com/
    Authors
    Min Weng; Tingting Liu; Mengjun Kang
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The allocation of medical resources is usually inappropriate in China because it is mainly based on the population of each administrative area. In real life, individual patients make choices based on numerous other factors, such as the quality of medical service, the service capacity of certain hospitals and their own income level. This study aims to reveal the differences between theoretical medical resource allocation and the actual medical treatment choices of liver cancer patients in Shenzhen, China, based on case data from 2010 to 2012. Two categories with six group maps are used to illustrate this situation, including independent charts and analytical method-based thematic maps. Meaningful conclusions are then proposed to improve medical resource allocation.

  20. Data Sheet 1_A comparative analysis of cluster based interventions on...

    • frontiersin.figshare.com
    doc
    Updated Jun 16, 2025
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    Ya Zou; Chuyu Lao; Ting Fan; Tian Wang; Guanwen Lin; Cuiqiong Fan; Yisui Cen; Yukun Lin; Miao Yang; Congrong Li; Zihuan Li (2025). Data Sheet 1_A comparative analysis of cluster based interventions on healthcare-associated infections in a tertiary care hospital in China.doc [Dataset]. http://doi.org/10.3389/fpubh.2025.1599682.s001
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    docAvailable download formats
    Dataset updated
    Jun 16, 2025
    Dataset provided by
    Frontiers Mediahttp://www.frontiersin.org/
    Authors
    Ya Zou; Chuyu Lao; Ting Fan; Tian Wang; Guanwen Lin; Cuiqiong Fan; Yisui Cen; Yukun Lin; Miao Yang; Congrong Li; Zihuan Li
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    BackgroundHealthcare-associated infections (HAIs) are a significant concern in infection prevention. This study analyzes the trend of incidence of HAIs in a tertiary care hospital in China and assesses the effectiveness of cluster based interventions.MethodsA retrospective analysis was conducted on HAIs reports from 2015 to 2024, focusing on episodes involving the incidence rate of hospital infections, the catheter infection rate related to invasive procedures in the intensive care unit (ICU), healthcare workers’ compliance with hand hygiene, needlestick and sharp injuries (NSIs) among healthcare workers, the prophylactic use rate of antimicrobial agents for Class I surgical incisions, and the antimicrobial usage density (AUD). In 2019, we implemented cluster-based interventions on the incidence of HAIs, strengthening hospital infection control.ResultsThe downward trend in HAIs is notable, with infection rates of 9.34 ± 0.25 and 7.29 ± 0.78 per 1,000 patient-days observed during the periods of 2015–2019 and 2020–2024, respectively (p 

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Statista (2025). Hospital bed density in urban and rural China 2021 [Dataset]. https://www.statista.com/statistics/1098672/china-urban-and-rural-disparity-in-hospital-beds/
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Hospital bed density in urban and rural China 2021

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Dataset updated
Nov 24, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2021
Area covered
China
Description

Residents of the rural China had fewer healthcare facilities and resources than those residing in urban regions. In 2021, there were only **** hospital beds available per 1,000 people in the rural areas of China.

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