There were nearly *********** outpatients in hospitals in Norway in 2024, and around *** thousand inpatients. The lowest patient category that year was patients with day cases, which amounted to around *** thousand.

Hospital Episodes Statistics (HES) is a data warehouse containing records of all patients admitted to NHS hospitals in England. It contains details of inpatient care and outpatient appointments. Hospital episode statistics (HES) statistics are produced and published on a monthly basis. The data are provisional and should therefore be treated as an estimate until the final National Statistics annual publications.

The number of women treated in hospitals in Norway in 2024 was higher than the number of men treated, for all types of hospital visits. Female outpatient visits amounted to over *********** in that year, while the number of male outpatient visits amounted to around *** thousand.

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) National Healthcare Safety Network (NHSN) (after December 15, 2022) (2) HHS TeleTracking (before December 15, 2022), (3) reporting provided directly to HHS Protect by state/territorial health departments on behalf of their healthcare facilities, and (4) historical NHSN timeseries data (before July 15, 2020). Data in this file have undergone routine data quality review of key variables of interest by subject matter experts to identify and correct obvious data entry errors. 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. This file contains data that have been corrected based on additional data quality checks applied to select data elements. The resulting dataset allows various data consumers to use for their analyses a high-quality dataset with consistent standards of data processing and cleaning applied. The following fields in this dataset are derived from data elements included in these data quality checks: inpatient_beds inpatient_beds_used total_staffed_adult_icu_beds adult_icu_bed_utilization adult_icu_bed_utilization_numerator adult_icu_bed_utilization_denominator adult_icu_bed_covid_utilization_numerator adult_icu_bed_covid_utilization_denominator adult_icu_bed_covid_utilization total_adult_patients_hospitalized_confirmed_covid total_pediatric_patients_hospitalized_confirmed_covid

In the 2024 fiscal year, a total of ***** million patient days were recorded in U.S. hospitals. California hospitals recorded the highest total annual number of patient days, with over ** million days. On the other hand, Wyoming hospitals recorded only *** thousand patient days during that period.

Note: After May 3, 2024, this dataset will no longer be updated because hospitals are no longer required to report data on COVID-19 hospital admissions, hospital capacity, or occupancy data to HHS through CDC’s National Healthcare Safety Network (NHSN). The related CDC COVID Data Tracker site was revised or retired on May 10, 2023.

Note: May 3,2024: Due to incomplete or missing hospital data received for the April 21,2024 through April 27, 2024 reporting period, the COVID-19 Hospital Admissions Level could not be calculated for CNMI and will be reported as “NA” or “Not Available” in the COVID-19 Hospital Admissions Level data released on May 3, 2024.

This dataset represents COVID-19 hospitalization data and metrics aggregated to county or county-equivalent, for all counties or county-equivalents (including territories) in the United States. COVID-19 hospitalization data are reported to CDC’s National Healthcare Safety Network, which monitors national and local trends in healthcare system stress, capacity, and community disease levels for approximately 6,000 hospitals in the United States. Data reported by hospitals to NHSN and included in this dataset represent aggregated counts and include metrics capturing information specific to COVID-19 hospital admissions, and inpatient and ICU bed capacity occupancy.

Reporting information:

• As of December 15, 2022, COVID-19 hospital data are required to be reported to NHSN, which monitors national and local trends in healthcare system stress, capacity, and community disease levels for approximately 6,000 hospitals in the United States. Data reported by hospitals to NHSN represent aggregated counts and include metrics capturing information specific to hospital capacity, occupancy, hospitalizations, and admissions. Prior to December 15, 2022, hospitals reported data directly to the U.S. Department of Health and Human Services (HHS) or via a state submission for collection in the HHS Unified Hospital Data Surveillance System (UHDSS).
• While CDC reviews these data for errors and corrects those found, some reporting errors might still exist within the data. To minimize errors and inconsistencies in data reported, CDC removes outliers before calculating the metrics. CDC and partners work with reporters to correct these errors and update the data in subsequent weeks.
• Many hospital subtypes, including acute care and critical access hospitals, as well as Veterans Administration, Defense Health Agency, and Indian Health Service hospitals, are included in the metric calculations provided in this report. Psychiatric, rehabilitation, and religious non-medical hospital types are excluded from calculations.
• Data are aggregated and displayed for hospitals with the same Centers for Medicare and Medicaid Services (CMS) Certification Number (CCN), which are assigned by CMS to counties based on the CMS Provider of Services files.
• Full details on COVID-19 hospital data reporting guidance can be found here: https://www.hhs.gov/sites/default/files/covid-19-faqs-hospitals-hospital-laboratory-acute-care-facility-data-reporting.pdf

• County-level hospital data are derived using calculations performed at the Health Service Area (HSA) level. An HSA is defined by CDC’s National Center for Health Statistics as a geographic area containing at least one county which is self-contained with respect to the population’s provision of routine hospital care. Every county in the United States is assigned to an HSA, and each HSA must contain at least one hospital. Therefore, use of HSAs in the calculation of local hospital metrics allows for more accurate characterization of the relationship between health care utilization and health status at the local level.
• Data presented at the county-level represent admissions, hospital inpatient and ICU bed capacity and occupancy among hospitals within the selected HSA. Therefore, admissions, capacity, and occupancy are not limited to residents of the selected HSA.
• For all county-level hospital metrics listed below the values are calculated first for the entire HSA, and then the HSA-level value is then applied to each county within the HSA.
• For all county-level hospital metrics listed below the values are calculated first for the entire HSA, and then the HSA-level value is then applied to each county within the HSA.

• Time period: data for the previous MMWR week (Sunday-Saturday) will update weekly on Mondays as soon as they are reviewed and verified, usually before 8 pm ET. Updates will occur the following day when reporting coincides with a federal holiday. Note: Weekly updates might be delayed due to delays in reporting. All data are provisional. Because these provisional counts are subject to change, including updates to data reported previously, adjustments can occur. Data may be updated since original publication due to delays in reporting (to account for data received after a given Thursday publication) or data quality corrections.
• New hospital admissions (count): Total number of admissions of patients with laboratory-confirmed COVID-19 in the previous week (including both adult and pediatric admissions) in the entire jurisdiction
• New Hospital Admissions Rate Value (Admissions per 100k): Total number of new admissions of patients with laboratory-confirmed COVID-19 in the past week (including both adult and pediatric admissions) for the entire jurisdiction divided by 2019 intercensal population estimate for that jurisdiction multiplied by 100,000. (Note: This metric is used to determine each county’s COVID-19 Hospital Admissions Level for a given week).
• New COVID-19 Hospital Admissions Rate Level: qualitative value of new COVID-19 hospital admissions rate level [Low, Medium, High, Insufficient Data]
• New hospital admissions percent change from prior week: Percent change in the current weekly total new admissions of patients with laboratory-confirmed COVID-19 per 100,000 population compared with the prior week.
• New hospital admissions percent change from prior week level: Qualitative value of percent change in hospital admissions rate from prior week [Substantial decrease, Moderate decrease, Stable, Moderate increase, Substantial increase, Insufficient data]
• COVID-19 Inpatient Bed Occupancy Value: Percentage of all staffed inpatient beds occupied by patients with laboratory-confirmed COVID-19 (including both adult and pediatric patients) within the in the entire jurisdiction is calculated as an average of valid daily values within the past week (e.g., if only three valid values, the average of those three is taken). Averages are separately calculated for the daily numerators (patients hospitalized with confirmed COVID-19) and denominators (staffed inpatient beds). The average percentage can then be taken as the ratio of these two values for the entire jurisdiction.
• COVID-19 Inpatient Bed Occupancy Level: Qualitative value of inpatient beds occupied by COVID-19 patients level [Minimal, Low, Moderate, Substantial, High, Insufficient data]
• COVID-19 Inpatient Bed Occupancy percent change from prior week: The absolute change in the percent of staffed inpatient beds occupied by patients with laboratory-confirmed COVID-19 represents the week-over-week absolute difference between the average occupancy of patients with confirmed COVID-19 in staffed inpatient beds in the past week, compared with the prior week, in the entire jurisdiction.
• COVID-19 ICU Bed Occupancy Value: Percentage of all staffed inpatient beds occupied by adult patients with confirmed COVID-19 within the entire jurisdiction is calculated as an average of valid daily values within the past week (e.g., if only three valid values, the average of those three is taken). Averages are separately calculated for the daily numerators (adult patients hospitalized with confirmed COVID-19) and denominators (staffed adult ICU beds). The average percentage can then be taken as the ratio of these two values for the entire jurisdiction.
• COVID-19 ICU Bed Occupancy Level: Qualitative value of ICU beds occupied by COVID-19 patients level [Minimal, Low, Moderate, Substantial, High, Insufficient data]
• COVID-19 ICU Bed Occupancy percent change from prior week: The absolute change in the percent of staffed ICU beds occupied by patients with laboratory-confirmed COVID-19 represents the week-over-week absolute difference between the average occupancy of patients with confirmed COVID-19 in staffed adult ICU beds for the past week, compared with the prior week, in the in the entire jurisdiction.
• For all metrics, if there are no data in the specified locality for a given week, the metric value is displayed as “insufficient data”.

Notes: June 1, 2023: Due to incomplete or missing hospital data received for the May 21, 2023, through May 27, 2023, reporting period, the COVID-19 Hospital Admissions Level could not be calculated for the Commonwealth of the Northern Mariana Islands (CNMI) and will be reported as “NA” or “Not Available” in the COVID-19 Hospital Admissions Level data released on June 1, 2023.

June 8, 2023: Due to incomplete or missing hospital data received for the May 28, 2023, through June 3, 2023, reporting period, the COVID-19 Hospital Admissions Level could not be calculated for CNMI and American Samoa (AS) and will be reported as “NA” or “Not Available” in the COVID-19 Hospital Admissions Level data released on June 8, 2023.

June 15, 2023: Due to incomplete or missing hospital data received for the June 4, 2023, through June 10, 2023, reporting period,

The average number of hospital beds available per 1,000 people in the United States was forecast to continuously decrease between 2024 and 2029 by in total 0.1 beds (-3.7 percent). After the eighth consecutive decreasing year, the number of available beds per 1,000 people is estimated to reach 2.63 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 150 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 Canada and Mexico.

The complete data set of annual utilization data reported by hospitals contains basic licensing information including bed classifications; patient demographics including occupancy rates, the number of discharges and patient days by bed classification, and the number of live births; as well as information on the type of services provided including the number of surgical operating rooms, number of surgeries performed (both inpatient and outpatient), the number of cardiovascular procedures performed, and licensed emergency medical services provided.

Improving outcomes for people with multiple long term conditions is a priority as set out in the NHS long term plan. ADMISSION is a Research Collaborative funded by UK Research and Innovation and the National Institute for Health Research and Care Research that brings together scientists, clinicians and patients from five UK universities and hospitals (Newcastle University and Newcastle Hospitals NHS Foundation Trust, University of Birmingham (PIONEER – the Health Data Research UK Acute Care Hub),  Manchester Metropolitan University, University of Dundeeand University College London) to transform understanding of multiple long-term conditions in hospital patients.

As part of this, PIONEER has curated a highly granular dataset of 119,815 unique hospitalised patients focusing on the impact of multiple long term conditions. The data includes admission details, demography, initial presentation, presenting symptoms, diagnoses, treatments, therapy, medications, imaging, wards, investigations, procedures, operations and outcomes. The current dataset includes admissions from 01-01-2000 to 07-02-2024 but can be expanded to assess other timelines of interest.

Geography: The West Midlands (WM) has a population of 6 million & includes a diverse ethnic & socio-economic mix. UHB is one of the largest NHS Trusts in England, providing direct acute services & specialist care across four hospital sites, with 2.2 million patient episodes per year, 2750 beds & > 120 ITU bed capacity. UHB runs a fully electronic healthcare record (EHR) (PICS; Birmingham Systems), a shared primary & secondary care record (Your Care Connected) & a patient portal “My Health”.

Data set availability: Data access is available via the PIONEER Hub for projects which will benefit the public or patients. This can be by developing a new understanding of disease, by providing insights into how to improve care, or by developing new models, tools, treatments, or care processes. Data access can be provided to NHS, academic, commercial, policy and third sector organisations. Applications from SMEs are welcome. There is a single data access process, with public oversight provided by our public review committee, the Data Trust Committee. Contact pioneer@uhb.nhs.uk or visit www.pioneerdatahub.co.uk for more details.

Available supplementary data: Matched controls; ambulance and community data. Unstructured data (images). We can provide the dataset in OMOP and other common data models and can build synthetic data to meet bespoke requirements.

Available supplementary support: Analytics, model build, validation & refinement; A.I. support. Data partner support for ETL (extract, transform & load) processes. Bespoke and “off the shelf” Trusted Research Environment (TRE) build and run. Consultancy with clinical, patient & end-user and purchaser access/ support. Support for regulatory requirements. Cohort discovery. Data-driven trials and “fast screen” services to assess population size.

As of 9/12/2024, we will begin reporting on hospitalization data again using a new San Francisco specific dataset. Updated data can be accessed here. On 5/1/2024, hospitalization data reporting will change from mandatory to optional for all hospitals nationwide. We will be pausing the refresh of the underlying data beginning 5/2/2024. A. SUMMARY Count of COVID+ patients admitted to the hospital. Patients who are hospitalized and test positive for COVID-19 may be admitted to an acute care bed (a regular hospital bed), or an intensive care unit (ICU) bed. This data shows the daily total count of COVID+ patients in these two bed types, and the data reflects totals from all San Francisco Hospitals. B. HOW THE DATASET IS CREATED Hospital information is based on admission data reported to the National Healthcare Safety Network (NHSN) and provided by the California Department of Public Health (CDPH). C. UPDATE PROCESS Updates automatically every week. D. HOW TO USE THIS DATASET Each record represents how many people were hospitalized on the date recorded in either an ICU bed or acute care bed (shown as Med/Surg under DPHCategory field). The dataset shown here includes all San Francisco hospitals and updates weekly with data for the past Sunday-Saturday as information is collected and verified. Data may change as more current information becomes available. E. CHANGE LOG9/12/2024 -Hospitalization data are now being tracked through a new source and are available here. 5/1/2024 - hospitalization data reporting to the National Healthcare Safety Network (NHSN) changed from mandatory to optional for all hospitals nationwide. We will be pausing the refresh of the underlying data beginning 5/2/2024. 12/14/2023 – added column “hospitalreportingpct” to indicate the percentage of hospitals who submitted data on each report date. 8/7/2023 - In response to the end of the federal public health emergency on 5/11/2023 the California Hospital Association (CHA) stopped the collection and dissemination of COVID-19 hospitalization data. In alignment with the California Department of Public Health (CDPH), hospitalization data from 5/11/2023 onward are being pulled from the National Healthcare Safety Network (NHSN). The NHSN data is updated weekly and does not include information on COVID suspected (PUI) patients. 4/9/2021 - dataset updated daily with a four-day data lag.

This publication reports on Admitted Patient Care activity in England for the financial year 2023-24. This report includes but is not limited to analysis of hospital episodes by patient demographics, diagnoses, external causes/injuries, operations, bed days, admission method, time waited, specialty, provider level analysis and Adult Critical Care (ACC). It describes NHS Admitted Patient Care Activity, Adult Critical Care activity and performance in hospitals in England. The purpose of this publication is to inform and support strategic and policy-led processes for the benefit of patient care and may also be of interest to researchers, journalists and members of the public interested in NHS hospital activity in England. The data source for this publication is Hospital Episode Statistics (HES). It contains final data and replaces the provisional data that are released each month. HES contains records of all admissions, appointments and attendances at NHS-commissioned hospital services in England. The HES data used in this publication are called 'Finished Consultant Episodes', and each episode relates to a period of care for a patient under a single consultant at a single hospital. Therefore, this report counts the number of episodes of care for admitted patients rather than the number of patients. This publication shows the number of episodes during the period, with breakdowns including by patient's age, gender, diagnosis, procedure involved and by provider. Please send queries or feedback via email to enquiries@nhsdigital.nhs.uk. Author: Secondary Care Open Data and Publications, NHS England. Lead Analyst: Karl Eichler

Snapshot img

Hospital Beds Market Size 2025-2029

The hospital beds market size is forecast to increase by USD 2.69 billion, at a CAGR of 9.9% between 2024 and 2029.

The market is experiencing significant growth due to the rising number of medical emergencies and the increase in infectious diseases. The global health crisis has highlighted the importance of having an adequate supply of hospital beds to manage the influx of patients. However, the high cost of automated hospital beds poses a challenge for healthcare providers, as they seek to balance the need for advanced technology with budget constraints. Moreover, the growing prevalence of chronic diseases, such as diabetes and cardiovascular diseases, necessitates long-term hospitalization, further increasing the demand for hospital beds. Additionally, the aging population and their subsequent healthcare needs are also contributing to market growth.
To capitalize on these opportunities, companies can focus on developing cost-effective solutions that offer advanced features, ensuring they cater to the evolving needs of healthcare providers while remaining competitive in the market. Navigating the challenges of cost and affordability will be crucial for market success, as providers seek to optimize their budgets while maintaining the highest level of patient care.

What will be the Size of the Hospital Beds Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
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The hospital bed market continues to evolve, with dynamic shifts in market trends and applications across various healthcare sectors. Hospital bed frames, a fundamental component of patient care, undergo constant innovation to enhance ergonomics and support systems. Mattresses with advanced pressure distribution technology cater to the unique needs of bariatric patients, while ICU beds integrate intravenous pole systems and height adjustment mechanisms for intensive care. Bedside safety features, such as fall prevention systems and bedside rails, are increasingly integrated into hospital bed designs. Bedside monitors, lighting, and call systems further enhance patient safety and comfort. Hospital bed sustainability is a growing concern, with a focus on recycling and disposal methods, as well as the use of eco-friendly materials in bed covers and linens.

Anti-embolism stockings and durability are essential considerations in hospital bed design, ensuring patient safety and longevity. Hospital bed certification standards continue to evolve, driving innovation in bedside safety and maintenance. The market for hospital bed accessories, such as overbed tables and height adjustment mechanisms, is expanding to cater to diverse patient needs. Ergonomics and aesthetics are increasingly important in hospital bed design, with a focus on patient comfort and satisfaction. The integration of electric actuators and sterilization systems further enhances the functionality and efficiency of hospital beds. The ongoing development of pressure relief systems and anti-decubitus mattresses underscores the continuous pursuit of innovation in this dynamic market.

How is this Hospital Beds Industry segmented?

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

Product

  Manual beds
  Semi-automated beds
  Automated beds


Application

  Intensive care
  Acute care
  Home care


End-user

  Hospitals
  Home healthcare
  Elderly care facilities
  Ambulatory surgical centers


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    UK


  APAC

    China
    India
    Japan
    South Korea


  South America

    Brazil


  Rest of World (ROW)

.

By Product Insights

The manual beds segment is estimated to witness significant growth during the forecast period.

The market encompasses a range of products designed for healthcare settings, including manual and electric beds, bariatric beds, ICU beds, and recovery room beds. These beds prioritize ergonomics, offering mattress support systems, adjustable frames, and pressure distribution systems to ensure patient comfort and support. Hospital bed sustainability is a growing concern, leading to the development of eco-friendly materials and recycling programs for bed components. Bedside tables, rails, and lighting provide added functionality, while certifications ensure safety and compliance. Hospital bed linens and covers, along with anti-embolism stockings, contribute to patient care and hygiene. Fall prevention systems and repair services ensure patient safety and bed longevity.

Operating room tables and electric actuators facilitate

This publication reports on Outpatient activity in England for the financial year 2023-24. This report includes but is not limited to analysis of hospital outpatient appointments by patient demographics, diagnoses, attendance type, operations, specialty and provider level analysis. It describes NHS outpatient appointments in England, rather than the number of patients. The purpose of this publication is to inform and support strategic and policy-led processes for the benefit of patient care and may also be of interest to researchers, journalists and members of the public interested in NHS hospital activity in England. The data source for this publication is Hospital Episode Statistics (HES), which come from the HES data warehouse containing details of all admissions and outpatient appointments at National Health Service (NHS) hospitals in England. It includes private patients treated in NHS hospitals, patients who were resident outside of England and care delivered by treatment centres (including those in the independent sector) funded by the NHS. Please send queries or feedback via email to enquiries@nhsdigital.nhs.uk. Author: Secondary Care Open Data and Publications, NHS England. Lead Analyst: Karl Eichler.

According to Cognitive Market Research, the global Patient Flow Management Solutions market size is USD 3.4 billion in 2024 and will expand at a compound annual growth rate (CAGR) of 24.3% from 2024 to 2031. Market Dynamics of Patient Flow Management Solutions Market

Key Drivers for Patient Flow Management Solutions Market

The growing demand to manage higher patient traffic in healthcare facilities is driving market expansion- Patient flow management systems are used to control the rising movement of patients into and out of hospitals and other health care facilities, reducing overcrowding and delays in care. Furthermore, as more individuals acquire access to insurance and healthcare, patient flow to hospitals and medical centers will grow, potentially worsening the issue by increasing the frequency of doctor visits. A number of hospitals and healthcare systems have implemented measures to improve patient flow management
Technological developments in patient flow management solutions drive market expansion

Key Restraints for Patient Flow Management Solutions Market

High implementation and maintenance costs associated with patient flow management solutions
Data Security and Privacy Concerns

Introduction of the Patient Flow Management Solutions Market

The Global Patient Flow Management Solutions Market encompasses a wide range of software, hardware, and services aimed at optimizing patient flow and coordination within healthcare institutions. These technologies attempt to improve operational efficiency, patient experience, and overall healthcare quality by optimizing operations like appointment scheduling, registration, bed management, workflow optimization, and real-time communication. The market has grown significantly in recent years as a result of reasons such as increased patient volume, rising healthcare expenses, the demand for better resource use, and the implementation of digital technologies in healthcare

According to Cognitive Market Research, the global hospital bed market size will be USD 4215.5 million in 2024. It will expand at a compound annual growth rate (CAGR) of 6.00% from 2024 to 2031.

North America held the major market share for more than 40% of the global revenue with a market size of USD 1686.20 million in 2024 and will grow at a compound annual growth rate (CAGR) of 4.2% from 2024 to 2031.
Europe accounted for a market share of over 30% of the global revenue with a market size of USD 1264.65 million.
Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 969.57 million in 2024 and will grow at a compound annual growth rate (CAGR) of 8.0% from 2024 to 2031.
Latin America had a market share of more than 5% of the global revenue with a market size of USD 210.78 million in 2024 and will grow at a compound annual growth rate (CAGR) of 5.4% from 2024 to 2031.
Middle East and Africa had a market share of around 2% of the global revenue and was estimated at a market size of USD 84.31 million in 2024 and will grow at a compound annual growth rate (CAGR) of 5.7% from 2024 to 2031.
The hospital’s category is the fastest growing segment of the hospital bed industry

Market Dynamics of Hospital Bed Market

Key Drivers for Hospital Bed Market

Increase Aging Population to Boost Market Growth

One major factor propelling the growth of the hospital bed market is the aging population. Chronic diseases, mobility problems, and age-related diseases that necessitate prolonged hospital stays and specialized care are more common in the elderly. The demand for sophisticated hospital beds with features like patient monitoring systems, changeable settings, and increased comfort has increased as a result of this demographic transition. Additionally, the need for senior home care services and long-term care facilities is driving market growth. Healthcare systems are making greater infrastructural investments to handle the burgeoning senior population as life expectancy rises globally. The rising need for better healthcare services is prompting healthcare facilities to invest in state-of-the-art hospital bed equipment, which is fueling the market’s expansion. For instance, Stryker announced the SmartMedic platform’s introduction at the Indian Society of Critical Care Medicine. Hospital ICU bed capacities are improved by the patient care platform SmartMedic. In addition to monitoring patient turns from nursing stations and managing weight fluctuations, this system will assist medical personnel in doing X-rays on patients in the intensive care unit without requiring them to be moved.

Technological Advancements to Drive Market Growth

The market for hospital beds is expanding at a rapid pace because of technological developments. IoT-enabled smart beds allow for real-time patient monitoring, improving treatment and lowering complications. In addition, healthcare workers’ operational efficiency and patient comfort are enhanced by automation features such as integrated controls and movable locations. While features like anti-bedsore surfaces enhance patient well-being, advanced materials, and ergonomic designs guarantee longevity and ease of maintenance. Additionally, easy data administration is made possible via connecting to electronic health records. These developments not only raise the bar for patient care but also encourage medical facilities to spend money on cutting-edge hospital beds, which propels market growth.

Restraint Factor for the Hospital Bed Market

High Cost and Limited Budget Will Limit Market Growth

The market expansion for hospital beds is severely hampered by high prices and tight budgets. Many healthcare facilities, particularly those in developing nations, cannot afford the high cost of advanced hospital beds with ergonomic features and smart technologies. Additionally, hospitals are forced by financial restraints to put necessary equipment first, postponing purchases of contemporary beds. Furthermore, smaller hospitals and clinics are discouraged from modernizing their current beds due to the costly initial investment and continuous maintenance costs. In addition to limiting the adoption of hospital beds, economic concerns and limited financial resources also hinder market progress, thus impeding the growth of the hospital bed market in the coming years.

Impact of Covid-19 on the Hospital Bed Mark...

Note: After May 3, 2024, this dataset 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. The related CDC COVID Data Tracker site was revised or retired on May 10, 2023.

This dataset represents daily COVID-19 hospitalization data and metrics aggregated to national, state/territory, and regional levels. COVID-19 hospitalization data are reported to CDC’s National Healthcare Safety Network, which monitors national and local trends in healthcare system stress, capacity, and community disease levels for approximately 6,000 hospitals in the United States. Data reported by hospitals to NHSN and included in this dataset represent aggregated counts and include metrics capturing information specific to COVID-19 hospital admissions, and inpatient and ICU bed capacity occupancy.

Reporting information:

• As of December 15, 2022, COVID-19 hospital data are required to be reported to NHSN, which monitors national and local trends in healthcare system stress, capacity, and community disease levels for approximately 6,000 hospitals in the United States. Data reported by hospitals to NHSN represent aggregated counts and include metrics capturing information specific to hospital capacity, occupancy, hospitalizations, and admissions. Prior to December 15, 2022, hospitals reported data directly to the U.S. Department of Health and Human Services (HHS) or via a state submission for collection in the HHS Unified Hospital Data Surveillance System (UHDSS).
• While CDC reviews these data for errors and corrects those found, some reporting errors might still exist within the data. To minimize errors and inconsistencies in data reported, CDC removes outliers before calculating the metrics. CDC and partners work with reporters to correct these errors and update the data in subsequent weeks.
• Many hospital subtypes, including acute care and critical access hospitals, as well as Veterans Administration, Defense Health Agency, and Indian Health Service hospitals, are included in the metric calculations provided in this report. Psychiatric, rehabilitation, and religious non-medical hospital types are excluded from calculations.
• Data are aggregated and displayed for hospitals with the same Centers for Medicare and Medicaid Services (CMS) Certification Number (CCN), which are assigned by CMS to counties based on the CMS Provider of Services files.
• Full details on COVID-19 hospital data reporting guidance can be found here: https://www.hhs.gov/sites/default/files/covid-19-faqs-hospitals-hospital-laboratory-acute-care-facility-data-reporting.pdf

Metric details:

• Time Period: timeseries data will update weekly on Mondays as soon as they are reviewed and verified, usually before 8 pm ET. Updates will occur the following day when reporting coincides with a federal holiday. Note: Weekly updates might be delayed due to delays in reporting. All data are provisional. Because these provisional counts are subject to change, including updates to data reported previously, adjustments can occur. Data may be updated since original publication due to delays in reporting (to account for data received after a given Thursday publication) or data quality corrections.
• New COVID-19 Hospital Admissions (count): Number of new admissions of patients with laboratory-confirmed COVID-19 in the previous week (including both adult and pediatric admissions) in the entire jurisdiction.
• New COVID-19 Hospital Admissions (7-Day Average): 7-day average of new admissions of patients with laboratory-confirmed COVID-19 in the previous week (including both adult and pediatric admissions) in the entire jurisdiction.
• Cumulative COVID-19 Hospital Admissions: Cumulative total number of admissions of patients with laborat

In 2023, there were over **** million hospital admissions in the United States. The number of hospitals in the U.S. has decreased in recent years, although the country faces an increasing elder population. Predictably, the elderly account for the largest share of hospital admissions in the U.S. Hospital stays Stays in hospitals are more common among females than males, with around *** percent of females reporting one or more hospital stays in the past year, compared to *** percent of males. Furthermore, **** percent of those aged 65 years and older had a hospitalization in the past year, compared to just *** percent of those aged 18 to 44 years. The average length of a stay in a U.S. hospital is *** days. Hospital beds In 2022, there were ******* hospital beds in the U.S. In the past few years, there has been a decrease in the number of hospital beds available. This is unsurprising given the decrease in the number of overall hospitals. In 2021, the occupancy rate of hospitals in the U.S. was ** percent.

According to Cognitive Market Research, the global Hospital-Acquired Infection Diagnostic market size is USD 29845.2 million in 2024. It will expand at a compound annual growth rate (CAGR) of 2.90% from 2024 to 2031.

North America held the major market share for more than 40% of the global revenue with a market size of USD 11938.08 million in 2024 and will grow at a compound annual growth rate (CAGR) of 1.1% from 2024 to 2031.
Europe accounted for a market share of over 30% of the global revenue with a market size of USD 8953.56 million.
Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 6864.40 million in 2024 and will grow at a compound annual growth rate (CAGR) of 4.9% from 2024 to 2031.
Latin America had a market share of more than 5% of the global revenue with a market size of USD 1492.26 million in 2024 and will grow at a compound annual growth rate (CAGR) of 2.3% from 2024 to 2031.
Middle East and Africa had a market share of around 2% of the global revenue and was estimated at a market size of USD 596.90 million in 2024 and will grow at a compound annual growth rate (CAGR) of 2.6% from 2024 to 2031.
Hospital held the highest Hospital-Acquired Infection Diagnostic market revenue share in 2024.

Market Dynamics of Hospital-Acquired Infection Diagnostic Market

Key Drivers for Hospital-Acquired Infection Diagnostic Market

Growing Prevalence of HAIs to Increase the Demand Globally

The Hospital-Acquired Infections Diagnostics Market is primarily driven by the ongoing increase in HAIs worldwide. The growing prevalence of these diseases highlights how important it is to have efficient diagnostic tools to recognize and treat infections contracted when a patient is in a medical facility. In the United States, an HAI affects around 1 in every 31 hospitalized patients at any given moment, according to Centers for Disease Control and Prevention (CDC) research. This means that 633,300 individuals get an HAI each year. Every year, the healthcare system in the United States sees more than a million HAIs. Tens of thousands of people lose their lives as a result of these illnesses every year, which can cause serious morbidity and death. According to estimates, HAIs cost billions of dollars a year.

Source: https://psnet.ahrq.gov/primer/health-care-associated-infections.

Rising Collaboration to Propel Market Growth

The increasing collaboration among the key players is expected to propel the market growth over the projected period. For instance, in February 2023, Roche announced that it has strengthened its research and innovation efforts by expanding its partnership with Janssen Biotech Inc. (Janssen) to develop companion diagnostics for targeted treatments. With several companion diagnostics technologies, such as immunohistochemistry (IHC), digital pathology, next-generation sequencing, polymerase chain reaction, and immunoassays, Roche and Janssen now have more opportunities to work together in the precision medicine space thanks to the new, enlarged partnership.

Source: https://diagnostics.roche.com/global/en/news-listing/2023/roche-expands-collaboration-with-janssen-to-advance-personalised.html.

Restraint Factor for the Hospital-Acquired Infection Diagnostic Market

High Cost and Lack of Skilled Personnel to Limit the Sales

The cost of advanced diagnostic equipment and technologies may prevent them from being widely used, particularly in poor countries with tighter budgets and in smaller healthcare facilities. The entire cost of healthcare may also rise due to the high cost of reagents and equipment. Furthermore, the proficiency of medical practitioners influences the efficacy of diagnostic procedures. Market expansion may be hampered by a lack of qualified laboratory workers and medical professionals versed in the use of cutting-edge diagnostic equipment.

Impact of Covid-19 on the Hospital-Acquired Infection Diagnostic Market

The hospital-acquired infection (HAI) diagnostic market has been impacted by the COVID-19 pandemic in several ways. While there have been several difficulties, there have also been fresh prospects and developments in healthcare procedures that may ultimately be advantageous to the market. Due to the pandemic, financial investments, manpower, and equipment were reallocated to the COVID-19 management effort. This change took resources and focus away from other areas of healthcar...

In FY 2024, the annual gross patient revenue of U.S. hospitals ranged from *** billion dollars in Wyoming to over ***** billion dollars in California. This statistic shows the annual gross patient revenue of U.S. hospitals by state in FY 2024.

NOTE: This dataset is historical-only as of 5/10/2023. All data currently in the dataset will remain, but new data will not be added. The recommended alternative dataset for similar data beyond that date is  https://healthdata.gov/Hospital/COVID-19-Reported-Patient-Impact-and-Hospital-Capa/anag-cw7u. (This is not a City of Chicago site. Please direct any questions or comments through the contact information on the site.) During the COVID-19 pandemic, the Chicago Department of Public Health (CDPH) required EMS Region XI (Chicago area) hospitals to report hospital capacity and patient impact metrics related to COVID-19 to CDPH through the statewide EMResource system. This requirement has been lifted as of May 9, 2023, in alignment with the expiration of the national and statewide COVID-19 public health emergency declarations on May 11, 2023. However, all hospitals will still be required by the U.S. Department of Health and Human Services (HHS) to report COVID-19 hospital capacity and utilization metrics into the HHS Protect system through the CDC’s National Healthcare Safety Network until April 30, 2024. Facility-level data from the HHS Protect system can be found at healthdata.gov. Until May 9, 2023, all Chicago (EMS Region XI) hospitals (n=28) were required to report bed and ventilator capacity, availability, and occupancy to the Chicago Department of Public Health (CDPH) daily. A list of reporting hospitals is included below. All data represent hospital status as of 11:59 pm for that calendar day. Counts include Chicago residents and non-residents. ICU bed counts include both adult and pediatric ICU beds. Neonatal ICU beds are not included. Capacity refers to all staffed adult and pediatric ICU beds. Availability refers to all available/vacant adult and pediatric ICU beds. Hospitals began reporting COVID-19 confirmed and suspected (PUI) cases in ICU on 03/19/2020. Hospitals began reporting ICU surge capacity as part of total capacity on 5/18/2020. Acute non-ICU bed counts include burn unit, emergency department, medical/surgery (ward), other, pediatrics (pediatric ward) and psychiatry beds. Burn beds include those approved by the American Burn Association or self-designated. Capacity refers to all staffed acute non-ICU beds. An additional 500 acute/non-ICU beds were added at the McCormick Place Treatment Facility on 4/15/2020. These beds are not included in the total capacity count. The McCormick Place Treatment Facility closed on 05/08/2020. Availability refers to all available/vacant acute non-ICU beds. Hospitals began reporting COVID-19 confirmed and suspected (PUI) cases in acute non-ICU beds on 04/03/2020. Ventilator counts prior to 04/24/2020 include all full-functioning mechanical ventilators, with ventilators with bilevel positive airway pressure (BiPAP), anesthesia machines, and portable/transport ventilators counted as surge. Beginning 04/24/2020, ventilator counts include all full-functioning mechanical ventilators, BiPAP, anesthesia machines and portable/transport ventilators. Ventilators are counted regardless of ability to staff. Hospitals began reporting COVID-19 confirmed and suspected (PUI) cases on ventilators on 03/19/2020. CDPH has access to additional ventilators from the EAMC (Emergency Asset Management Center) cache. These ventilators are included in the total capacity count. Chicago (EMS Region 11) hospitals: Advocate Illinois Masonic Medical Center, Advocate Trinity Hospital, AMITA Resurrection Medical Center Chicago, AMITA Saint Joseph Hospital Chicago, AMITA Saints Mary & Elizabeth Medical Center, Ann & Robert H Lurie Children's Hospital, Comer Children's Hospital, Community First Medical Center, Holy Cross Hospital, Jackson Park Hospital & Medical Center, John H. Stroger Jr. Hospital of Cook County, Loretto Hospital, Mercy Hospital and Medical Center, , Mount Sinai Hospital, Northwestern Memorial Hospital, Norwegian American Hospital, Roseland Community Hospital, Rush University M