According to a ranking of the best hospitals in the U.S., the best hospital for adult cancer is the University of *******************************, which had a score of *** out of 100, as of 2025. This statistic shows the top 10 hospitals for adult cancer in the United States based on the score given by U.S. News and World Report's annual hospital ranking.

As of 2025, New York-Presbyterian hospital is the largest hospital in the United States with its eight campuses based in New York City. This was followed by AdventHealth Orlando in Florida stands as the second largest hospital in the United States, boasting an impressive 2,787 beds. Evolving landscape of U.S. hospitals Despite the decline in the total number of hospitals since 1980, the healthcare sector continues to grow in other ways. U.S. hospitals now employ about 7.5 million workers and generate a gross output of around 1,263 billion U.S. dollars. The Hospital Corporation of America, based in Nashville, Tennessee, leads the pack as the largest health system in the country, operating 222 hospitals as of February 2025. This reflects a trend towards consolidation and the rise of for-profit hospital chains, which gained prominence in the 1990s. Specialization and emergency care While bed count is one measure of hospital size, institutions also distinguish themselves through specialization and emergency care capabilities. For instance, the University of California at Los Angeles Medical Center performed 22,287 organ transplants between January 1988 and March 2025, making it the leading transplant center in the nation. In terms of emergency care, Parkland Health and Hospital System in Dallas recorded the highest number of emergency department visits in 2024, with 235,893 patients seeking urgent care.

Context

There are all sorts of reasons why you'd want to know a hospital's quality rating.

• Your mom is having her second hip replacement. Her first one went terribly and you're nervous about how she'll do. Which hospital would you suggest she have her surgery?
• You're selecting a health plan on your state's Exchange, but your top two choices partner with different hospitals. How will you decide which plan to pick?
• Your brother has Cystic Fibrosis and has to go to the ER frequently. He hates waiting. Which hospitals/states provide care in the timeliest manner?
• Your in-laws moved to Florida recently to retire, and have been trying to convince you to move there too. You're looking for any way possible to show them that your state is better. Does your state have better hospitals?

Every hospital in the United States of America that accepts publicly insured patients (Medicaid or MediCare) is required to submit quality data, quarterly, to the Centers for Medicare & Medicaid Services (CMS). There are very few hospitals that do not accept publicly insured patients, so this is quite a comprehensive list.

Content

This file contains general information about all hospitals that have been registered with Medicare, including their addresses, type of hospital, and ownership structure. It also contains information about the quality of each hospital, in the form of an overall rating (1-5, where 5 is the best possible rating & 1 is the worst), and whether the hospital scored above, same as, or below the national average for a variety of measures.

This data was updated by CMS on July 25, 2017. CMS' overall rating includes 60 of the 100 measures for which data is collected & reported on Hospital Compare website (https://www.medicare.gov/hospitalcompare/search.html). Each of the measures have different collection/reporting dates, so it is impossible to specify exactly which time period this dataset covers. For more information about the timeframes for each measure, see: https://www.medicare.gov/hospitalcompare/Data/Data-Updated.html# For more information about the data itself, APIs and a variety of formats, see: https://data.medicare.gov/Hospital-Compare

Acknowledgements

Attention: Works of the U.S. Government are in the public domain and permission is not required to reuse them. An attribution to the agency as the source is appreciated. Your materials, however, should not give the false impression of government endorsement of your commercial products or services. See 42 U.S.C. 1320b-10.

Inspiration

Which hospital types & hospital ownerships are most common?

Which hospital types & ownerships are associated with better than average ratings/mortality/readmission/etc?

What is the average hospital rating, by state?

Which hospital types & hospital ownerships are more likely to have not submitted proper data ("Not Available" & "Results are not available for this reporting period")?

Which parts of the country have the highest & lowest density of religious hospitals?

As of February 2025, the Hospital Corporation of America, based in Nashville, Tennessee, was the largest health system in the United States, with a total of 222 hospitals. HCA Healthcare is also the largest U.S. health system when ranked by the number of beds and, as expected, by net patient revenue.Hospitals in the United StatesCurrently, there are approximately 6,120 hospitals in the United States. Looking over the past decades, this figure was constantly decreasing. For example, there were nearly 7,000 hospitals in 1980. There are some 5.3 million persons employed in U.S. hospitals in full-time. Contrary to the decrease in the number of hospitals, employment has been increasing steadily. According to the Bureau of Economic Analysis, U.S. hospitals generate a total gross output of around 1,075 billion U.S. dollars. The largest portion of U.S. hospitals are non-profit facilities. A smaller share includes private-owned for-profit hospitals. In most cases, these hospitals are part of hospital chains. For-profit hospitals developed especially in the 1990s, with the aim to gain profit for their shareholders. The Hospital Corporation of America, based in Nashville, Tennessee, is the U.S. for-profit hospital operator with the highest number of hospitals.

Context

Every year, all U.S. hospitals that accept payments from Medicare and Medicaid must submit quality data to The Centers for Medicare and Medicaid Services (CMS). CMS' Hospital Compare program is a consumer-oriented website that provides information on "the quality of care hospitals are providing to their patients." CMS releases this quality data publicly in order to encourage hospitals to improve their quality and to help consumer make better decisions about which providers they visit.

"Hospital Compare provides data on over 4,000 Medicare-certified hospitals, including acute care hospitals, critical access hospitals (CAHs), children’s hospitals, Veterans Health Administration (VHA) Medical Centers, and hospital outpatient departments"

The Centers for Medicare & Medicaid Services (CMS) uses a five-star quality rating system to measure the experiences Medicare beneficiaries have with their health plan and health care system — the Star Rating Program. Health plans are rated on a scale of 1 to 5 stars, with 5 being the highest.

Content

Dataset Rows	Dataset Columns
25082	29

• Includes the most recent Hospital General Information.csv data for each archive year found on CMS' archive site. Years: 2016-2020

| Column Name | Data Type | Description | | --- | --- | -- | | Facility ID | Char(6) | Facility Medicare ID | | Facility Name | Char(72) | Name of the facility | | Address | Char(51) | Facility street address | | City | Char(20) | Facility City | | State | Char(2) | Facility State | | ZIP Code | Num(8) | Facility ZIP Code | | County Name | Char(25) | Facility County | | Phone Number | Char(14) | Facility Phone Number | | Hospital Type | Char(34) | What type of facility is it? | | Hospital Ownership | Char(43) | What type of ownership does the facility have? | | Emergency Services | Char(3)) | Does the facility have emergency services Yes/No? | | Meets criteria for promoting interoperability of EHRs | Char(1) | Does facility meet government EHR standard Yes/No? | | Hospital overall rating | Char(13) | Hospital Overall Star Rating 1=Worst; 5=Best. Aggregate measure of all other measures | | Hospital overall rating footnote | Num(8) | | | Mortality national comparison | Char(28) | Facility overall performance on mortality measures compared to other facilities | | Mortality national comparison footnote | Num(8) | | | Safety of care national comparison | Char(28) | Facility overall performance on safety measures compared to other facilities | | Safety of care national comparison footnote | Num(8) | | | Readmission national comparison | Char(28) | Facility overall performance on readmission measures compared to other facilities | | Readmission national comparison footnote | Num(8) | | | Patient experience national comparison | Char(28) | Facility overall performance on pat. exp. measures compared to other facilities | | Patient experience national comparison footnote | Char(8) | | | Effectiveness of care national comparison | Char(28) | Facility overall performance on effect. of care measures compared to other facilities | | Effectiveness of care national comparison footnote | Char(8) | | | Timeliness of care national comparison | Char(28) | Facility overall performance on timeliness of care measures compared to other facilities | | Timeliness of care national comparison footnote| Char(8) | | | Efficient use of medical imaging national comparison | Char(28) | Facility overall performance on efficient use measures compared to other facilities | | Efficient use of medical imaging national comparison footnote | Char(8) | | | Year | Char(4) | cms data release year |

Acknowledgements

A similar dataset called Hospital General Information was previously uploaded to Kaggle. However, that dataset only includes data from one year (2017). I was inspired by this dataset to go a little further and try to add a time dimension. This dataset includes a union of Hospital General Information for the years 2016-2020. The python script used to collect and union all the datasets can be found on my [github[(https://github.com/abrambeyer/cms_hospital_general_info_file_downloader). Thanks to this dataset owner for the inspiration.

Thanks to CMS for releasing this dataset publicly to help consumers find better hospitals and make better-informed decisions.

***All Hospital Compare websites are publically accessible. As works of the U.S. government, Hospital Compare data are in the public domain and permission is not required to reuse them. An attribution to the agency as the source is appreciated. Your ...

In 2023, Singapore dominated the ranking of the world's health and health systems, followed by Japan and South Korea. The health index score is calculated by evaluating various indicators that assess the health of the population, and access to the services required to sustain good health, including health outcomes, health systems, sickness and risk factors, and mortality rates. The health and health system index score of the top ten countries with the best healthcare system in the world ranged between 82 and 86.9, measured on a scale of zero to 100.

Global Health Security Index  Numerous health and health system indexes have been developed to assess various attributes and aspects of a nation's healthcare system. One such measure is the Global Health Security (GHS) index. This index evaluates the ability of 195 nations to identify, assess, and mitigate biological hazards in addition to political and socioeconomic concerns, the quality of their healthcare systems, and their compliance with international finance and standards. In 2021, the United States was ranked at the top of the GHS index, but due to multiple reasons, the U.S. government failed to effectively manage the COVID-19 pandemic. The GHS Index evaluates capability and identifies preparation gaps; nevertheless, it cannot predict a nation's resource allocation in case of a public health emergency.

Universal Health Coverage Index  Another health index that is used globally by the members of the United Nations (UN) is the universal health care (UHC) service coverage index. The UHC index monitors the country's progress related to the sustainable developmental goal (SDG) number three. The UHC service coverage index tracks 14 indicators related to reproductive, maternal, newborn, and child health, infectious diseases, non-communicable diseases, service capacity, and access to care. The main target of universal health coverage is to ensure that no one is denied access to essential medical services due to financial hardships. In 2021, the UHC index scores ranged from as low as 21 to a high score of 91 across 194 countries. 

In the U.S., every hospital that receives payments from Medicare and Medicaid is mandated to provide quality data to The Centers for Medicare and Medicaid Services (CMS) annually. This data helps gauge patient satisfaction levels across the country. While overall hospital scores can be influenced by the quality of customer services, there may also be variations in satisfaction based on the type of hospital or its location.

Year: 2016 - 2020

The Star Rating Program, implemented by The Centers for Medicare & Medicaid Services (CMS), employs a five-star grading system to evaluate the experiences of Medicare beneficiaries with their respective health plans and the overall healthcare system. Health plans receive scores ranging from 1 to 5 stars, with 5 stars denoting the highest quality.

Benefits:

Historical Analysis: With data spanning from 2016 to 2020, researchers and analysts can observe trends over time, understanding how patient satisfaction has evolved over these years.

Benchmarking: Hospitals can compare their performance against national averages or against peer institutions to see where they stand.

Identifying Areas for Improvement: By analyzing specific metrics and feedback, hospitals can pinpoint areas where their services may be lacking and need enhancement.

Policy and Decision Making: Governments and healthcare administrators can use the data to make informed decisions about healthcare policies, funding allocations, and other strategic decisions.

Research and Academic Purposes: Academics and researchers can use the dataset for various studies, including correlational studies, predictions, and more.

Geographical Insights: The dataset may provide insights into regional variations in patient satisfaction, helping to identify areas or states with particularly high or low scores.

Understanding Factors Affecting Satisfaction: By correlating satisfaction scores with other variables (e.g., hospital type, size, location), it might be possible to determine which factors play the most significant role in patient satisfaction.

Performance Evaluation: Hospitals can use the data to evaluate the efficacy of any interventions or changes they've made over the years in terms of improving patient satisfaction.

Enhancing Patient Trust: Demonstrating transparency and a commitment to improvement can enhance patient trust and loyalty.

Informed Patients: By making such data publicly available, potential patients can make more informed decisions about where to seek care based on the satisfaction ratings of previous patients.

Source: https://data.cms.gov/provider-data/archived-data/hospitals

Graph and download economic data for Total Revenue for Hospitals, All Establishments (REV622ALLEST144QSA) from Q4 2004 to Q2 2025 about hospitals, revenue, establishments, and USA.

Report Attribute/Metric	Details
Market Size 2024	186 billion USD
Market Size in 2025	USD 199 billion
Market Size 2030	275 billion USD
Report Coverage	Market Size for past 5 years and forecast for future 10 years, Competitive Analysis & Company Market Share, Strategic Insights & trends
Segments Covered	Service Types, Therapeutic Area, Facility Size, Patient Age Groups
Regional Scope	North America, Europe, Asia Pacific, Latin America and Middle East & Africa
Country Scope	U.S., Canada, Mexico, UK, Germany, France, Italy, Spain, China, India, Japan, South Korea, Brazil, Mexico, Argentina, Saudi Arabia, UAE and South Africa
Top 5 Major Countries and Expected CAGR Forecast	U.S., China, Germany, Japan, UK - Expected CAGR 4.4% - 6.4% (2025 - 2034)
Top 3 Emerging Countries and Expected Forecast	Indonesia, Nigeria, Colombia - Expected Forecast CAGR 7.7% - 9.2% (2025 - 2034)
Companies Profiled	Asan Medical Center, Boston Children's Hospital, Children’s Health Queensland, Children’s Hospital Los Angeles, Cincinnati Children's Hospital Medical Center, Great Ormond Street Hospital for Children, Hôpital Necker-Enfants Malades/AP-HP, Texas Children’s and The Children’s Hospital of Philadelphia

US Healthcare Readmissions and Mortality

Evaluating Hospital Performance

By Health [source]

About this dataset

This dataset contains detailed information about 30-day readmission and mortality rates of U.S. hospitals. It is an essential tool for stakeholders aiming to identify opportunities for improving healthcare quality and performance across the country. Providers benefit by having access to comprehensive data regarding readmission, mortality rate, score, measure start/end dates, compared average to national as well as other pertinent metrics like zip codes, phone numbers and county names. Use this data set to conduct evaluations of how hospitals are meeting industry standards from a quality and outcomes perspective in order to make more informed decisions when designing patient care strategies and policies

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How to use the dataset

This dataset provides data on 30-day readmission and mortality rates of U.S. hospitals, useful in understanding the quality of healthcare being provided. This data can provide insight into the effectiveness of treatments, patient care, and staff performance at different healthcare facilities throughout the country.

In order to use this dataset effectively, it is important to understand each column and how best to interpret them. The ‘Hospital Name’ column displays the name of the facility; ‘Address’ lists a street address for the hospital; ‘City’ indicates its geographic location; ‘State’ specifies a two-letter abbreviation for that state; ‘ZIP Code’ provides each facility's 5 digit zip code address; 'County Name' specifies what county that particular hospital resides in; 'Phone number' lists a phone contact for any given facility ;'Measure Name' identifies which measure is being recorded (for instance: Elective Delivery Before 39 Weeks); 'Score' value reflects an average score based on patient feedback surveys taken over time frame listed under ' Measure Start Date.' Then there are also columns tracking both lower estimates ('Lower Estimate') as well as higher estimates ('Higher Estimate'); these create variability that can be tracked by researchers seeking further answers or formulating future studies on this topic or field.; Lastly there is one more measure oissociated with this set: ' Footnote,' which may highlight any addional important details pertinent to analysis such as numbers outlying National averages etc..

This data set can be used by hospitals, research facilities and other interested parties in providing inciteful information when making decisions about patient care standards throughout America . It can help find patterns about readmitis/mortality along county lines or answer questions about preformance fluctuations between different hospital locations over an extended amount of time. So if you are ever curious about 30 days readmitted within US Hospitals don't hesitate to dive into this insightful dataset!

Research Ideas

• Comparing hospitals on a regional or national basis to measure the quality of care provided for readmission and mortality rates.
• Analyzing the effects of technological advancements such as telemedicine, virtual visits, and AI on readmission and mortality rates at different hospitals.
• Using measures such as Lower Estimate Higher Estimate scores to identify systematic problems in readmissions or mortality rate management at hospitals and informing public health care policy

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

License: Dataset copyright by authors - You are free to: - Share - copy and redistribute the material in any medium or format for any purpose, even commercially. - Adapt - remix, transform, and build upon the material for any purpose, even commercially. - You must: - Give appropriate credit - Provide a link to the license, and indicate if changes were made. - ShareAlike - You must distribute your contributions under the same license as the original. - Keep intact - all notices that refer to this license, including copyright notices.

Columns

File: Readmissions_and_Deaths_-_Hospital.csv | Column name | Description | |:-------------------------|:---------------------------------------------------------------------------------------------------| | Hospital Name ...

After several turbulent years, hospital construction activity is bouncing back, with contractors experiencing a much-needed rebound after the disruption brought on by the pandemic. The industry hit a low point between 2020 and 2023, when project activity stalled because of strict capital budgets, labor and material shortages and uncertainty about hospital demand. Contractors who saw a dwindling backlog during this time have enjoyed a resurgence in bidding and a ramping up of both new construction and remodeling jobs, spurred in part by rising hospital occupancy and the lure of federal tax incentives for energy-efficient upgrades. Climbing occupancy at hospitals has also boosted remodeling work, benefiting contractors. Overall, industry revenue has been increasing at a CAGR of 2.1% to total an estimated $34.6 billion in 2025, including an estimated 3.4% increase in 2025. Hospital construction contractors had to navigate persistent cost pressures and tough competition, all while handling shifts in hospital funding. Profitability took a hit as material prices and wages soared through 2022, with heightened material costs and labor shortages complicating job pricing and scheduling. Contractors were forced to accept slimmer profit just to keep projects moving when private hospitals delayed or downsized capital investments and nonprofit community hospitals struggled under tighter Medicaid reimbursements and operational losses. Only as pandemic-era constraints eased did capital flows begin to strengthen, allowing contractors to rebuild lost ground and pass on more costs to end customers from 2023 to 2025. Still, tariffs have led to climbing construction material costs, putting additional pressure on profit. Looking ahead, the outlook is a mix of opportunity and risk. Federal policy changes, including the One Big Beautiful Bill Act and the expiration of 179D tax credits, will shake up funding streams, pushing rural hospitals in particular to reshape their construction plans as they work through shrinking Medicaid reimbursements and temporary relief programs. On the other hand, rising occupancy rates and looming seismic retrofit mandates in states like California are expected to drive a wave of new projects, especially modernization and expansion work. Industry revenue is forecast to increase at a CAGR of 3.5% to total an estimated $41.1 billion through the end of 2030.

Context

How satisfied are U.S. patients? Is a hospital's overall score really determined by how well it provides good customer services? Are there types of hospitals or regions where patient satisfaction is better or worse?

Every year, all U.S. hospitals that accept payments from Medicare and Medicaid must submit quality data to The Centers for Medicare and Medicaid Services (CMS). CMS' Hospital Compare program is a consumer-oriented website that provides information on "the quality of care hospitals are providing to their patients." CMS releases this quality data publicly in order to encourage hospitals to improve their quality and to help consumer make better decisions about which providers they visit.

"Hospital Compare provides data on over 4,000 Medicare-certified hospitals, including acute care hospitals, critical access hospitals (CAHs), children’s hospitals, Veterans Health Administration (VHA) Medical Centers, and hospital outpatient departments"

The Centers for Medicare & Medicaid Services (CMS) uses a five-star quality rating system to measure the experiences Medicare beneficiaries have with their health plan and health care system — the Star Rating Program. Health plans are rated on a scale of 1 to 5 stars, with 5 being the highest.

One part of a hospital's overall rating is it's patient satisfaction survey scores. CMS attempts to take into consideration how well patients are treated by the provider. A description of HCAHPS can be found here ***HCAHPS Description.

Content

| Filename | Year | Dataset Rows | Dataset Columns | | --- | --- | --- | --- ] | cms_hospital_patient_satisfaction_2020.csv | 2020 | 442587 | 43 | | cms_hospital_patient_satisfaction_2019.csv | 2019 | 442401 | 43 | | cms_hospital_patient_satisfaction_2018.csv | 2018 | 239650 | 43 | | cms_hospital_patient_satisfaction_2017.csv | 2017 | 264660 | 43 | | cms_hospital_patient_satisfaction_2016.csv | 2016 | 264385 | 43 |

• Includes the most recent Hospital General Information.csv data for each archive year found on CMS' archive site. Years: 2016-2020

NOTE: Some Hospital Medicare IDs have leading zeroes. Be sure to read Facility ID column as a string.

| Column Name | Data Type | Description | | --- | --- | -- | | Facility ID | Char(6) | Facility Medicare ID | | Facility Name | Char(72) | Name of the facility | | Address | Char(51) | Facility street address | | City | Char(20) | Facility City | | State | Char(2) | Facility State | | ZIP Code | Num(8) | Facility ZIP Code | | County Name | Char(25) | Facility County | | Phone Number | Char(14) | Facility Phone Number | | HCAHPS Measure ID | Char(25) | HCAHPS Patient Survey Measure Name | | HCAHPS Question | Char(138) | HCAHPS Patient Survey Question | | HCAHPS Answer Description | Char(118)| HCAHPS Patient Survey Answer | | Patient Survey Star Rating | Char(14) | Overall rating for survey item | | Patient Survey Star Rating Footnote | Char(7) | n/a | | HCAHPS Answer Percent | Char(14) | Percent of surveys with question answered | | HCAHPS Answer Percent Footnote | Char(8) | n/a | | HCAHPS Linear Mean Value | Char(14) | HCAHPS Patient Survey question linear mean value | | Number of Completed Surveys | Char(13) | Number of completed surveys for hospital. N-size. | | Number of Completed Surveys Footnote | Char(8) | n/a | | Survey Response Rate Percent | Char(13) | Hospital survey response rate. | | Survey Response Rate Percent Footnote | Char(8) | n/a | | Start Date | Date | Survey collection period start date | | End Date | Date | Survey collection period end date | | Year | Char(4) | cms data release year | | Hospital Type | Char(34) | What type of facility is it? | | Hospital Ownership | Char(43) | What type of ownership does the facility have? | | Emergency Services | Char(3)) | Does the facility have emergency services Yes/No? | | Meets criteria for promoting interoperability of EHRs | Char(1) | Does facility meet government EHR standard Yes/No? | | Hospital overall rating | Char(13) | Hospital Overall Star Rating 1=Worst; 5=Best. Aggregate measure of all other measures | | Hospital overall rating footnote | Num(8) | | | Mortality national comparison | Char(28) | Facility overall performance on mortality measures compared to other facilities | | Mortality national comparison footnote | Num(8) | | | Safety of care national comparison | Char(28) | Facility overall performance on safety measures compared to other facilities | | Safety of care national comparison footnote | Num(8) | | | Readmission national co...

The GLP-1 receptor agonist market is projected to be valued at US$ 23,854.53 million in 2024 and is expected to rise to US$ 72,127.79 million by 2034. It is expected to grow at a CAGR of 11.7% during the market forecast period.

Attributes	Key Statistics
GLP-1 Receptor Agonist Market Value (2024)	US$ 23854.53 million
Anticipated Market Value (2034)	US$ 72127.79 million
Estimated Growth (2024 to 2034)	11.7% CAGR

Category-wise Insights

Attributes	Details
Top Indication	Type 2 Diabetes
Market Share (2024)	75.00%

Attributes	Details
Distribution Channel	Hospital Pharmacies
Market Share (2024)	34.00%

Country-wise Insights

Countries	CAGR (2024 to 2034)
India	24.70%
China	23.10%
United Kingdom	12.10%

From stethoscopes and MRIs to veterinarian equipment, surgical instruments and more, medical equipment plays a vital role in maintaining our health and well-being--and remains a top industrial market to sell to. Want to explore more about this powerful sector? This article will provide we analyze key statistics on industry size, market value, and employment trends. We'll also explore the leading U.S. medical equipment manufacturers shaping the industry.

Group purchasing organizations (GPOs) have recently demonstrated adaptability and strategic importance in the healthcare supply chain, guiding hospitals, clinics and related entities through mounting procurement complexities. Their effectiveness draws from a combination of centralized purchasing, supplier vetting and compliance management—a blend that relieves administrative burdens on healthcare providers and bolsters purchasing transparency. GPOs deploy a mix of advanced analytics and digital procurement tools, which streamline purchasing and enhance negotiation power. While the shift to virtual operations and remote work settings has modestly reduced spending on rent and utilities, investments in data security and ongoing compliance remain critical for maintaining trust and operational efficiency. Through the end of 2025, industry revenue has climbed at a CAGR of 2.7% to reach $7.3 billion in 2025, including an expansion of 1.6% in 2025 alone. The careful management of cost structures and high transaction volumes balances profitability. With administration fees generally capped—particularly in healthcare—profit generation hinges on leveraging scale and recruiting broad, loyal memberships. This dynamic requires constant innovation in member engagement and value-added services, which help counter limitations imposed by low fee ceilings. On the cost side, previous inflation and unpredictable tariff adjustments have pushed GPOs to rethink sourcing strategies, with many adopting flexible supplier contracts and investing in sophisticated supply chain analytics to manage fluctuating purchase prices. Labor costs have steadied as digital platforms and automation replace manual tasks, optimizing workforce efficiency despite cooler market conditions. Stable asset management and limited marketing needs allow GPOs to keep depreciation and promotional expenditures contained, reinforcing overall profit resilience even as they face new pressures. GPOs' performance suggests that digital transformation and specialization will become central drivers of growth and competitive differentiation. The integration of e-sourcing platforms, machine learning, and real-time supply chain analytics will further streamline operations and improve compliance with evolving regulations. Heightened demand for transparency, auditability and sustainability will prompt GPOs to adopt greener procurement models and more rigorous supplier vetting processes, positioning them to capture business from clients prioritizing corporate responsibility. A growing appetite for tailored services will favor the rise of niche and micro GPOs, which can quickly adjust offerings for specialized segments, pushing even established players to innovate and segment their offerings. As organizations emphasize direct relationships and high customization, future success will likely depend on technology-enabled flexibility, advanced analytics and deep sector expertise, marking a shift toward more agile partnership models and sustainable profitability. Revenue will expand at a CAGR of 2.1% to reach $8.1 billion.

Emergency department visits in U.S. hospitals continue to surge, with *********************************** in Dallas leading the pack in 2024. The facility recorded ******* ED visits, followed closely by ******************************** in Florida with ******* visits. This trend highlights the growing demand for emergency medical services across the country, particularly in large urban centers. Evolving healthcare landscape While emergency departments are busier than ever, the overall number of hospitals in the U.S. has been decreasing since the 1970s. Meanwhile, there is a rise of large health systems. The Hospital Corporation of America, based in Nashville, Tennessee, stands as the largest health system in the country, operating *** hospitals as of February 2025. This consolidation trend reflects the changing dynamics of healthcare delivery and management in the United States. Specialization and capacity challenges As hospitals face increasing pressure on their emergency departments, many are also focusing on specialized services to meet diverse patient needs. For instance, the ****************************************************** performed ****** organ transplants between January 1988 and March 2025, making it the nation's ******* transplant center. Meanwhile, ******************** in Florida holds the title of the largest U.S. hospital with ***** beds.

According to Cognitive Market Research, the global Hospital Supplies market size was USD 30215.2 million in 2024. It will expand at a compound annual growth rate (CAGR) of 4.00% 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 12086.08 million in 2024 and will grow at a compound annual growth rate (CAGR) of 2.2% from 2024 to 2031.
Europe accounted for a market share of over 30% of the global revenue with a market size of USD 9064.56 million.
Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 6949.50 million in 2024 and will grow at a compound annual growth rate (CAGR) of 6.0% from 2024 to 2031.
Latin America had a market share of more than 5% of the global revenue with a market size of USD 1510.76 million in 2024 and will grow at a compound annual growth rate (CAGR) of 3.4% 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 604.30 million in 2024 and will grow at a compound annual growth rate (CAGR) of 3.7% from 2024 to 2031.
The catheter category is the fastest growing segment of the Hospital Supplies industry

Market Dynamics of Hospital Supplies Market

Key Drivers for Hospital Supplies Market

Technological Advancements in Medical Equipment to Boost Market Growth

Technological advancements in medical equipment significantly drive the hospital supplies market. Innovations such as telemedicine, minimally invasive surgical tools, and advanced diagnostic devices have revolutionized patient care, improving outcomes and operational efficiency. As hospitals adopt cutting-edge technologies, there is an increased demand for advanced supplies that complement these innovations. For instance, the integration of smart hospital solutions—like IoT-enabled devices and automated inventory management systems—has become essential in enhancing hospital efficiency and reducing costs. Furthermore, the growing focus on personalized medicine and patient-centered care has led to the development of specialized hospital supplies tailored to specific treatments and procedures. As healthcare providers strive to enhance service delivery and patient satisfaction, the demand for technologically advanced hospital supplies is expected to rise, propelling market growth and fostering continuous innovation within the sector. For instance, Becton, Dickinson & Company launched a TCR/BCR multi-omic assay which aids in speeding the discovery of infectious diseases, autoimmune disorders, and immune-oncology as well

Rising Healthcare Expenditure to Drive Market Growth

Governments and private sectors are investing more in healthcare infrastructure to improve access to quality medical services, particularly in developing regions. As healthcare systems expand, there is a growing demand for essential hospital supplies, including surgical instruments, diagnostic equipment, and consumables. This trend is further fueled by the aging population, which necessitates more medical services and supplies. Additionally, the COVID-19 pandemic underscored the importance of robust healthcare systems and the need for adequate supplies, prompting hospitals to stock up on critical items. As healthcare expenditure continues to rise, hospitals are more likely to allocate budgets for modernizing their equipment and ensuring that they are well-equipped to meet patient needs, thereby driving the hospital supplies market forward.

Restraint Factor for the Hospital Supplies Market

Regulatory Challenges and Compliance Costs Will Limit Market Growth

Hospitals and suppliers must comply with various regulations established by health authorities, which can vary significantly by region. These regulations often require extensive testing, certification, and documentation processes to ensure product safety and efficacy. The complexity of compliance can lead to increased costs and extended timelines for product approval, hindering the introduction of new supplies into the market. Additionally, any failure to meet regulatory standards can result in fines, recalls, and damage to a company's reputation. This regulatory burden can be particularly challenging for smaller suppliers with limited resources, potentially leading to reduced competition and innovation in the hospital supplies market.

Impact of Covid-19 on the H...

Snapshot img

AI In MRI Market Size 2025-2029

The AI in MRI market size is valued to increase by USD 1.03 billion, at a CAGR of 27.8% from 2024 to 2029. Increasing pressure on radiology departments and workforce shortages will drive the ai in mri market.

Major Market Trends & Insights

North America dominated the market and accounted for a 43% growth during the forecast period.
By Component - Software segment was valued at USD 42.00 billion in 2023
By End-user - Hospitals segment accounted for the largest market revenue share in 2023

Market Size & Forecast

Market Opportunities: USD 1.00 million
Market Future Opportunities: USD 1026.30 million
CAGR from 2024 to 2029 : 27.8%

Market Summary

The market experiences significant growth, driven by the increasing demand for efficient and accurate diagnostic solutions in radiology. Integrated AI platforms and digital marketplaces are gaining traction, streamlining workflows and enhancing diagnostic capabilities. This development signifies a significant shift towards advanced technological solutions and digital commerce. However, challenges persist, including data quality concerns and ensuring generalizability and privacy. According to recent market intelligence, The market is projected to reach a value of USD3.5 billion by 2025, underscoring its potential impact on healthcare.
As radiology departments face mounting pressure due to workforce shortages, AI-powered MRI systems offer a promising solution to improve diagnostic accuracy and efficiency. Despite these advancements, addressing data quality and privacy concerns remains crucial to ensure widespread adoption and trust in this evolving technology.

What will be the Size of the AI In MRI Market during the forecast period?

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How is the AI In MRI Market Segmented ?

The ai in mri 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.

Component

  Software
  Services
  Hardware


End-user

  Hospitals
  Diagnostic imaging centers
  Others


Application

  Neurology
  Musculoskeletal
  Cardiovascular
  Prostate
  Others


Geography

  North America

    US
    Canada
    Mexico


  Europe

    France
    Germany
    Italy
    UK


  APAC

    China
    Japan


  South America

    Brazil


  Rest of World (ROW)

By Component Insights

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

The market is experiencing continuous evolution, with software being a particularly dynamic and innovative segment. This intelligence layer unlocks clinical and operational value from imaging data, ranging from established medical imaging corporations to specialized AI startups. One sub-segment, AI algorithms for image reconstruction, uses deep learning to generate high-resolution images from under-sampled data, reducing scan times by up to 50% without compromising diagnostic quality. Another crucial software category is computer-aided detection and diagnosis, designed to assist radiologists by automatically identifying, segmenting, and characterizing potential abnormalities, such as tumors, lesions, or anatomical anomalies.

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The Software segment was valued at USD 42.00 billion in 2019 and showed a gradual increase during the forecast period.

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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.

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The market is witnessing significant growth, with North America leading the charge. This region, primarily driven by the United States and Canada, accounts for the largest market share due to its advanced healthcare infrastructure, high per capita healthcare expenditure, and a culture that embraces technological innovation. The presence of key original equipment manufacturers (OEMs) and a thriving ecosystem of AI software startups in technology hubs further bolsters the region's dominance. The strong regulatory framework in place is another catalyst for market expansion.

According to recent reports, the North American market is projected to grow at a steady pace, surpassing USDX billion by 2027. Europe is expected to follow closely, fueled by advancements in healthcare technology and increasing demand for AI solutions in radiology. The Asia Pacific region is also gaining momentum, with countries like China and India investing heavily in healthcare technology and AI research.

Market Dynamics

Our researchers analyzed the

Intravenous (IV) solution manufacturers have a critical role in healthcare delivery, supplying essential fluids like saline and dextrose used in virtually every care setting, from hospitals and surgical centers to outpatient infusion clinics. Historically, demand has remained stable and predictable, linked closely to procedure volumes and inpatient utilization. However, over the past five years, demand has accelerated because of a shift toward outpatient care, the rise of home infusions and growth in chronic disease management. The expansion of ambulatory surgery centers (ASCs) and non-hospital care sites has also created new, decentralized demand for IV fluids, increasing the number of delivery points. Despite being a commoditized product, IV solutions are volume-driven and critical to day-to-day patient care, which places pressure on manufacturers to deliver a consistent supply at a low price. The rising purchasing power of group purchasing organizations (GPOs) has intensified price competition among manufacturers, pushing prices lower and making it challenging for suppliers to invest in new capacity or product innovation. In all, revenue has risen at a CAGR of 0.2% to an estimated $3.4 billion over the past five years, including expected growth of 3.2% in 2025. In 2024, the industry’s vulnerability was exposed when Hurricane Helene severely disrupted Baxter’s North Cove facility in North Carolina, the single largest US producer, with this single facility accounting for roughly 60% of the national IV fluid supply. The flooding led to an immediate nationwide shortage, forcing hospitals to ration fluids and scramble for backup suppliers. The event highlighted the pitfalls of a highly concentrated industry where a handful of facilities produce nearly all the domestic supply. While competitors like B. Braun ramped up output and FEMA authorized emergency imports, the shortage underscored how disruptions have system-wide effects. The disruption at Baxter’s North Cove facility caused its market share to drop as hospitals and GPOs shifted orders to competitors like B. Braun and imports. This event pushed health systems and buyers to diversify their supplier base, weakening reliance on any single manufacturer and potentially prompting a long-term shift in market dynamics. IV solution manufacturing is expected to grow moderately, driven by outpatient expansion, aging demographics and increased chronic care treatment. However, growth will be uneven across settings: while hospitals remain the largest customers, infusion clinics and home care are driving new demand that requires more nimble packaging and distribution models. Manufacturers will be under pressure to modernize facilities, diversify geographic production and improve risk management capabilities. Long-term, demand will continue rising, but aggressive GPO pricing, high regulatory costs and the commoditized nature of the product will constrain profit. New competitors, including a Saudi-based IV production facility (announced in May 2025 in Trump’s Saudi-US economic partnership), could introduce headwinds too. Investments in automation and efficiency will be essential for manufacturers to remain competitive, control costs and maintain reliability. Revenue will expand moving forward, increasing at a CAGR of 2.3% to an estimated $3.9 billion over the next five years.

Abstract

Different countries have different health outcomes that are in part due to the way respective health systems perform. Regardless of the type of health system, individuals will have health and non-health expectations in terms of how the institution responds to their needs. In many countries, however, health systems do not perform effectively and this is in part due to lack of information on health system performance, and on the different service providers.

The aim of the WHO World Health Survey is to provide empirical data to the national health information systems so that there is a better monitoring of health of the people, responsiveness of health systems and measurement of health-related parameters.

The overall aims of the survey is to examine the way populations report their health, understand how people value health states, measure the performance of health systems in relation to responsiveness and gather information on modes and extents of payment for health encounters through a nationally representative population based community survey. In addition, it addresses various areas such as health care expenditures, adult mortality, birth history, various risk factors, assessment of main chronic health conditions and the coverage of health interventions, in specific additional modules.

The objectives of the survey programme are to: 1. develop a means of providing valid, reliable and comparable information, at low cost, to supplement the information provided by routine health information systems. 2. build the evidence base necessary for policy-makers to monitor if health systems are achieving the desired goals, and to assess if additional investment in health is achieving the desired outcomes. 3. provide policy-makers with the evidence they need to adjust their policies, strategies and programmes as necessary.

Geographic coverage

The survey sampling frame must cover 100% of the country's eligible population, meaning that the entire national territory must be included. This does not mean that every province or territory need be represented in the survey sample but, rather, that all must have a chance (known probability) of being included in the survey sample.

There may be exceptional circumstances that preclude 100% national coverage. Certain areas in certain countries may be impossible to include due to reasons such as accessibility or conflict. All such exceptions must be discussed with WHO sampling experts. If any region must be excluded, it must constitute a coherent area, such as a particular province or region. For example if ¾ of region D in country X is not accessible due to war, the entire region D will be excluded from analysis.

Analysis unit

Households and individuals

Universe

The WHS will include all male and female adults (18 years of age and older) who are not out of the country during the survey period. It should be noted that this includes the population who may be institutionalized for health reasons at the time of the survey: all persons who would have fit the definition of household member at the time of their institutionalisation are included in the eligible population.

If the randomly selected individual is institutionalized short-term (e.g. a 3-day stay at a hospital) the interviewer must return to the household when the individual will have come back to interview him/her. If the randomly selected individual is institutionalized long term (e.g. has been in a nursing home the last 8 years), the interviewer must travel to that institution to interview him/her.

The target population includes any adult, male or female age 18 or over living in private households. Populations in group quarters, on military reservations, or in other non-household living arrangements will not be eligible for the study. People who are in an institution due to a health condition (such as a hospital, hospice, nursing home, home for the aged, etc.) at the time of the visit to the household are interviewed either in the institution or upon their return to their household if this is within a period of two weeks from the first visit to the household.

Kind of data

Sample survey data [ssd]

Sampling procedure

SAMPLING GUIDELINES FOR WHS

Surveys in the WHS program must employ a probability sampling design. This means that every single individual in the sampling frame has a known and non-zero chance of being selected into the survey sample. While a Single Stage Random Sample is ideal if feasible, it is recognized that most sites will carry out Multi-stage Cluster Sampling.

The WHS sampling frame should cover 100% of the eligible population in the surveyed country. This means that every eligible person in the country has a chance of being included in the survey sample. It also means that particular ethnic groups or geographical areas may not be excluded from the sampling frame.

The sample size of the WHS in each country is 5000 persons (exceptions considered on a by-country basis). An adequate number of persons must be drawn from the sampling frame to account for an estimated amount of non-response (refusal to participate, empty houses etc.). The highest estimate of potential non-response and empty households should be used to ensure that the desired sample size is reached at the end of the survey period. This is very important because if, at the end of data collection, the required sample size of 5000 has not been reached additional persons must be selected randomly into the survey sample from the sampling frame. This is both costly and technically complicated (if this situation is to occur, consult WHO sampling experts for assistance), and best avoided by proper planning before data collection begins.

All steps of sampling, including justification for stratification, cluster sizes, probabilities of selection, weights at each stage of selection, and the computer program used for randomization must be communicated to WHO

STRATIFICATION

Stratification is the process by which the population is divided into subgroups. Sampling will then be conducted separately in each subgroup. Strata or subgroups are chosen because evidence is available that they are related to the outcome (e.g. health, responsiveness, mortality, coverage etc.). The strata chosen will vary by country and reflect local conditions. Some examples of factors that can be stratified on are geography (e.g. North, Central, South), level of urbanization (e.g. urban, rural), socio-economic zones, provinces (especially if health administration is primarily under the jurisdiction of provincial authorities), or presence of health facility in area. Strata to be used must be identified by each country and the reasons for selection explicitly justified.

Stratification is strongly recommended at the first stage of sampling. Once the strata have been chosen and justified, all stages of selection will be conducted separately in each stratum. We recommend stratifying on 3-5 factors. It is optimum to have half as many strata (note the difference between stratifying variables, which may be such variables as gender, socio-economic status, province/region etc. and strata, which are the combination of variable categories, for example Male, High socio-economic status, Xingtao Province would be a stratum).

Strata should be as homogenous as possible within and as heterogeneous as possible between. This means that strata should be formulated in such a way that individuals belonging to a stratum should be as similar to each other with respect to key variables as possible and as different as possible from individuals belonging to a different stratum. This maximises the efficiency of stratification in reducing sampling variance.

MULTI-STAGE CLUSTER SELECTION

A cluster is a naturally occurring unit or grouping within the population (e.g. enumeration areas, cities, universities, provinces, hospitals etc.); it is a unit for which the administrative level has clear, nonoverlapping boundaries. Cluster sampling is useful because it avoids having to compile exhaustive lists of every single person in the population. Clusters should be as heterogeneous as possible within and as homogenous as possible between (note that this is the opposite criterion as that for strata). Clusters should be as small as possible (i.e. large administrative units such as Provinces or States are not good clusters) but not so small as to be homogenous.

In cluster sampling, a number of clusters are randomly selected from a list of clusters. Then, either all members of the chosen cluster or a random selection from among them are included in the sample. Multistage sampling is an extension of cluster sampling where a hierarchy of clusters are chosen going from larger to smaller.

In order to carry out multi-stage sampling, one needs to know only the population sizes of the sampling units. For the smallest sampling unit above the elementary unit however, a complete list of all elementary units (households) is needed; in order to be able to randomly select among all households in the TSU, a list of all those households is required. This information may be available from the most recent population census. If the last census was >3 years ago or the information furnished by it was of poor quality or unreliable, the survey staff will have the task of enumerating all households in the smallest randomly selected sampling unit. It is very important to budget for this step if it is necessary and ensure that all households are properly enumerated in order that a representative sample is obtained.

It is always best to have as many clusters in the PSU as possible. The reason for this is that the fewer the number of respondents in each PSU, the lower will be the clustering effect which