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 2023, there were nearly 11 thousand hospitals in Columbia, the highest number among OECD countries, followed by 8,156 hospitals in Japan. If only general hospitals were counted (excluding mental health hospitals and other specialized hospitals), Japan had the most number of general hospitals among OECD countries worldwide. Most countries reported hospitals numbers similar to or lower than the previous year. Meanwhile, Mexico, South Korea and the Netherlands all reported more hospitals than last year.

According to a hospital ranking carried out in 2022 and based on seven different dimensions, Hospital Israelita Albert Einstein was considered the hospital with the highest care quality in Latin America. Located in São Paulo - Brazil, this health institution reached a quality index score of 93.46. Hospital Sírio-Libanês also located in Brazil, ranked second, with a score of 71.75. Latin American hospitals and their capacity to host patients When it comes to hosting patients, hospitals Irmandade da Santa Casa de Misericórdia de Porto Alegre located in Brazil, and Sanatorio Guemes based in Argentina, ranked among the leading hospitals in Latin America as of 2022. It was estimated that Brazil and Argentina were the two Latin American countries with the highest number of hospital beds in the region in 2020, with more than 448,000 and 234,000 hospital beds, respectively. Public opinion on healthcare quality It was also Argentina that had the highest share of satisfied patients among a selection of countries in Latin America according to a 2023 survey, with 50 percent of interviewees stating they had accessed a good or very good healthcare service. Colombian patients followed, with four out of ten people satisfied with the healthcare received. Accordingly, a recent study estimated that nearly half of the population in Argentina and Colombia distrusted the healthcare system, with approximately 47 percent and 50 percent of respondents claiming they trust the health systems in their respective countries.

Updates

• Notice of data discontinuation: Since the start of the pandemic, AP has reported case and death counts from data provided by Johns Hopkins University. Johns Hopkins University has announced that they will stop their daily data collection efforts after March 10. As Johns Hopkins stops providing data, the AP will also stop collecting daily numbers for COVID cases and deaths. The HHS and CDC now collect and visualize key metrics for the pandemic. AP advises using those resources when reporting on the pandemic going forward.

  • CDC Weekly case and death counts (national and state level)
  • CDC County level cases and deaths
  • HHS New hospital admissions
  • CDC NowCast COVID variant proportions (national and regional level)

• April 9, 2020

  • The population estimate data for New York County, NY has been updated to include all five New York City counties (Kings County, Queens County, Bronx County, Richmond County and New York County). This has been done to match the Johns Hopkins COVID-19 data, which aggregates counts for the five New York City counties to New York County.

• April 20, 2020

  • Johns Hopkins death totals in the US now include confirmed and probable deaths in accordance with CDC guidelines as of April 14. One significant result of this change was an increase of more than 3,700 deaths in the New York City count. This change will likely result in increases for death counts elsewhere as well. The AP does not alter the Johns Hopkins source data, so probable deaths are included in this dataset as well.

• April 29, 2020

  • The AP is now providing timeseries data for counts of COVID-19 cases and deaths. The raw counts are provided here unaltered, along with a population column with Census ACS-5 estimates and calculated daily case and death rates per 100,000 people. Please read the updated caveats section for more information.

• September 1st, 2020

  • Johns Hopkins is now providing counts for the five New York City counties individually.

• February 12, 2021

  • The Ohio Department of Health recently announced that as many as 4,000 COVID-19 deaths may have been underreported through the state’s reporting system, and that the "daily reported death counts will be high for a two to three-day period."
  • Because deaths data will be anomalous for consecutive days, we have chosen to freeze Ohio's rolling average for daily deaths at the last valid measure until Johns Hopkins is able to back-distribute the data. The raw daily death counts, as reported by Johns Hopkins and including the backlogged death data, will still be present in the new_deaths column.

• February 16, 2021

  - Johns Hopkins has reconciled Ohio's historical deaths data with the state.

  Overview

The AP is using data collected by the Johns Hopkins University Center for Systems Science and Engineering as our source for outbreak caseloads and death counts for the United States and globally.

The Hopkins data is available at the county level in the United States. The AP has paired this data with population figures and county rural/urban designations, and has calculated caseload and death rates per 100,000 people. Be aware that caseloads may reflect the availability of tests -- and the ability to turn around test results quickly -- rather than actual disease spread or true infection rates.

This data is from the Hopkins dashboard that is updated regularly throughout the day. Like all organizations dealing with data, Hopkins is constantly refining and cleaning up their feed, so there may be brief moments where data does not appear correctly. At this link, you’ll find the Hopkins daily data reports, and a clean version of their feed.

The AP is updating this dataset hourly at 45 minutes past the hour.

To learn more about AP's data journalism capabilities for publishers, corporations and financial institutions, go here or email kromano@ap.org.

Queries

Use AP's queries to filter the data or to join to other datasets we've made available to help cover the coronavirus pandemic

• Filter cases by state here

• Rank states by their status as current hotspots. Calculates the 7-day rolling average of new cases per capita in each state: https://data.world/associatedpress/johns-hopkins-coronavirus-case-tracker/workspace/query?queryid=481e82a4-1b2f-41c2-9ea1-d91aa4b3b1ac

• Find recent hotspots within your state by running a query to calculate the 7-day rolling average of new cases by capita in each county: https://data.world/associatedpress/johns-hopkins-coronavirus-case-tracker/workspace/query?queryid=b566f1db-3231-40fe-8099-311909b7b687&showTemplatePreview=true

• Join county-level case data to an earlier dataset released by AP on local hospital capacity here. To find out more about the hospital capacity dataset, see the full details.

• Pull the 100 counties with the highest per-capita confirmed cases here

• Rank all the counties by the highest per-capita rate of new cases in the past 7 days here. Be aware that because this ranks per-capita caseloads, very small counties may rise to the very top, so take into account raw caseload figures as well.

Interactive

The AP has designed an interactive map to track COVID-19 cases reported by Johns Hopkins.

@(https://datawrapper.dwcdn.net/nRyaf/15/)

Interactive Embed Code

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Caveats

• This data represents the number of cases and deaths reported by each state and has been collected by Johns Hopkins from a number of sources cited on their website.
• In some cases, deaths or cases of people who've crossed state lines -- either to receive treatment or because they became sick and couldn't return home while traveling -- are reported in a state they aren't currently in, because of state reporting rules.
• In some states, there are a number of cases not assigned to a specific county -- for those cases, the county name is "unassigned to a single county"
• This data should be credited to Johns Hopkins University's COVID-19 tracking project. The AP is simply making it available here for ease of use for reporters and members.
• Caseloads may reflect the availability of tests -- and the ability to turn around test results quickly -- rather than actual disease spread or true infection rates.
• Population estimates at the county level are drawn from 2014-18 5-year estimates from the American Community Survey.
• The Urban/Rural classification scheme is from the Center for Disease Control and Preventions's National Center for Health Statistics. It puts each county into one of six categories -- from Large Central Metro to Non-Core -- according to population and other characteristics. More details about the classifications can be found here.

Johns Hopkins timeseries data - Johns Hopkins pulls data regularly to update their dashboard. Once a day, around 8pm EDT, Johns Hopkins adds the counts for all areas they cover to the timeseries file. These counts are snapshots of the latest cumulative counts provided by the source on that day. This can lead to inconsistencies if a source updates their historical data for accuracy, either increasing or decreasing the latest cumulative count. - Johns Hopkins periodically edits their historical timeseries data for accuracy. They provide a file documenting all errors in their timeseries files that they have identified and fixed here

Attribution

This data should be credited to Johns Hopkins University COVID-19 tracking project

The industry has encountered challenging conditions, with revenue falling at a CAGR of 1.2% to $28.5 billion over the past five years, despite a bump of 4.9% in 2023 alone. Hospitals have met a high degree of fiscal uncertainty via to the whittling down of the Patient Protection and Affordable Care Act (PPACA) from the prior administration, while a renewed focus on it by the Biden administration has already boosted the number of health-insured consumers, bolstering demand for hospital construction. From legislative hurdles to the global pandemic outbreak causing construction stoppages amid a surge in demand for hospital capacity, the industry has endured significant volatility.The industry includes private and public hospital construction, though private hospital construction makes up nearly 80.0% of the total. Growth in the value of both private and public hospital construction has been insufficient to keep up with inflation. This inconsistency in private and public markets helps to explain the halt in industry revenue growth, while at a broader level, hospitals have opted to shift acute care services to off-campus locations to reduce costs and reach a larger patient pool. The move has helped hospitals mitigate lower admission and inpatient days, but these facilities are smaller and generate less revenue for enterprises. As demand for hospital space in 2020 skyrocketed amid the pandemic, the industry couldn't respond rapidly due to local and state work stoppages.Going forward, revenue growth for the industry will resume as total health expenditure remains strong and the value of private nonresidential construction fully recovers and accelerates ahead of declines exhibited during the pandemic. As the population ages, a rising senior demographic will embolden demand for hospital services. In the post-pandemic world, government support for hospital capacity will also rise, benefiting industry performance. Overall, industry revenue is slated to grow at a CAGR of 3.0% to an estimated $33.0 billion in 2028 as profit recovers to 3.3%.

According to a survey conducted between 2020 and 2021, over 57 percent of the beneficiaries had very good experience in hospitals empanelled under Pradhan Mantri Jan Arogya Yojana (PM-JAY) scheme. About 3.3 percent of respondents reported their experience to be satisfactory. PM-JAY is the largest health assurance scheme in the world fully funded by the government.

In 2019, the global digital health market was worth an estimated 175 billion U.S. dollars. With an expected CAGR of almost 25 percent from 2019 to 2025, the digital health market should reach nearly 660 billion dollars by 2025.

Increasing use of digital health tools

Over the last decade, investor funding in the digital health industry has increased significantly. In 2020, over 21 billion U.S. dollars was invested in the industry, compared to around one billion U.S. dollars in 2010. Even before the COVID-19 pandemic in 2020, which sharply increased the need for digital health tools to be used, consumers’ adoption of telemedicine had been increasing.

Further trends

A survey of European health professionals found that they believed the biggest ehealth trend in the coming years will be the use of patient owned health data. In general, most healthcare workers thought ehealth prospects in their country would improve in the coming year. However, the biggest challenge to implementing ehealth changes efficiently and effective in Europe is regarded to be funding and costs.

The global medical tourism industry is projected to reach USD 278.2 billion in 2025 and grow to USD 890.4 billion by 2035, advancing at a CAGR of 10.4% from 2025 to 2035.

Attribute	Details
Current Medical Tourism Industry Size (2024A)	USD 248.2 Billion
Estimated Medical Tourism Industry Size (2025E)	USD 278.2 Billion
Projected Medical Tourism Industry Size (2035F)	USD 890.4 Billion
Value CAGR (2025 to 2035)	10.4%
Market Share of Top Players in 2024	~15%-20%

Growth of Wellbeing Tourism Industry vs. Medical Tourism Industry (2020 to 2035)

Wellbeing Tourism Industry	Medical Tourism Industry
2020: USD 660.0 billion (estimated)	2020: USD 157.9 billion (estimated)
2024: USD 755.1 billion (estimated)	2024: USD 248.2 billion (estimated)
2025: USD 800.0 billion (estimated)	2025: USD 278.2 billion (estimated)
2035: USD 1.2 trillion (projected)	2035: USD 890.4 billion (projected)
CAGR (2025 to 2035): 5.1%	CAGR (2025 to 2035): 10.4%

Global Medical Tourism Industry Performance by Domestic and International Patients (2024)

Countries	Domestic vs. International Patients (%)
United States	60% Domestic - 40% International
Mexico	70% Domestic - 30% International
Thailand	50% Domestic - 50% International
India	80% Domestic - 20% International
Singapore	55% Domestic - 45% International
Turkey	65% Domestic - 35% International
Malaysia	60% Domestic - 40% International
Brazil	75% Domestic - 25% International
South Korea	70% Domestic - 30% International
United Kingdom	50% Domestic - 50% International

Overview: This is a large-scale real-world dataset with videos recording medical staff washing their hands as part of their normal job duties in the Jurmala Hospital located in Jurmala, Latvia. There are 2427 hand washing episodes in total, almost all of which are annotated by two persons. The annotations classify the washing movements according to the World Health Organization's (WHO) guidelines by marking each frame in each video with a certain movement code. This dataset is part on three dataset series all following the same format: https://zenodo.org/record/4537209 - data collected in Pauls Stradins Clinical University Hospital https://zenodo.org/record/5808764 - data collected in Jurmala Hospital https://zenodo.org/record/5808789 - data collected in the Medical Education Technology Center (METC) of Riga Stradins University Applications: The intention of this dataset is twofold: to serve as a basis for training machine learning classifiers for automated hand washing movement recognition and quality control, and to allow to investigate the real-world quality of washing performed by working medical staff. Statistics: Frame rate: 30 FPS Resolution: 320x240 and 640x480 Number of videos: 2427 Number of annotation files: 4818 Movement codes (both in CSV and JSON files): 1: Hand washing movement ��� Palm to palm 2: Hand washing movement ��� Palm over dorsum, fingers interlaced 3: Hand washing movement ��� Palm to palm, fingers interlaced 4: Hand washing movement ��� Backs of fingers to opposing palm, fingers interlocked 5: Hand washing movement ��� Rotational rubbing of the thumb 6: Hand washing movement ��� Fingertips to palm 7: Turning off the faucet with a paper towel 0: Other hand washing movement Acknowledgments: The dataset collection was funded by the Latvian Council of Science project: "Automated hand washing quality control and quality evaluation system with real-time feedback", No: lzp - Nr. 2020/2-0309. References: For more detailed information, see this article, describing a similar dataset collected in a different project: M. Lulla, A. Rutkovskis, A. Slavinska, A. Vilde, A. Gromova, M. Ivanovs, A. Skadins, R. Kadikis, A. Elsts. Hand-Washing Video Dataset Annotated According to the World Health Organization���s Hand-Washing Guidelines. Data. 2021; 6(4):38. https://doi.org/10.3390/data6040038 Contact information: atis.elsts@edi.lv

With over 6,500 medical centers, Brazil was the Latin American country with the highest number of hospitals in 2024, among the countries depicted. Mexico ranked second, with 3,587 hospitals. In 2022, Hospital Israelita Albert Einstein was the leading hospital by quality in the South American country. Healthcare spending With an estimated 11 percent of its gross domestic product (GDP) being spent on health, Cuba was the nation with the highest health expenditure share in Latin America and the Caribbean in 2020. Ranking second in this ranking along with Argentina, Brazil’s government spent more than 46 percent of its annual health expenditure on hospital and outpatient care. Meanwhile, in Chile, government spending on healthcare was, on average, about 1,679 U.S. dollars per person in 2021, which was more than the combined health expenditure from government and out-of-pocket spending in Mexico. Leading medical technology Including products such as diagnostic imaging, implants, and vaccines, nanomedicine has by far been Latin America’s most valuable medical technology, generating an estimated 19.36 billion U.S. dollars in 2022. Furthermore, the revenue of nanomedicine in the region is expected to reach 37.45 billion U.S. dollars by 2027, representing an increase of more than 94 percent over a span of five years.More information by Global Health Intelligence on hospital infrastructure in various Latin American countries can be found here.

Backgrounds of respondents (N = 150).

The Australian public health care system is regarded to be among the best in the world and over ten percent of the country’s GDP is spent on health. Nevertheless, as the novel coronavirus spread and put health care resources around the world to the test, Australians were concerned that hospitals and other health services could eventually become overwhelmed. However, as the rate of COVID-19 infections in Australia were on the rise in March 2020, more than half of Australians still rated their health system’s response to the virus as excellent or good.

Protecting the most vulnerable

Early observations of the virus in China showed that older COVID-19 patients were more likely to require hospitalization and respiration than younger patients and projections from the Australian Department of Health predicted that as many as one in five people with COVID-19 over the age of 80 would be admitted to the ICU. People with chronic health issues such as diabetes, heart disease, and respiratory conditions were also more likely to require additional medical attention if they contracted COVID-19.

Availability of health resources

As it became clear that a significant proportion of the world’s population would be exposed to COVID-19, most countries strived to ‘flatten the curve’ through social distancing measures. This concept aimed at delaying the spread of the virus in order ensure that medical facilities would not be overwhelmed and limited resources, such as respirators, would be available when required. Despite Australia’s public hospital system boasting more than 2.5 hospital beds per 1,000 of the population in most states and territories, the devastating public health emergency in Italy was a cause for concern. However, the Australian health system’s capacity proved to be adequate even as hospitalizations hit their peak in early April.

Chronic obstructive pulmonary disease (COPD) is the third leading cause of death in the world. Emerging concepts like One Health, integrated models for COPD, and associations between oral and respiratory health are innovative ways to approach COPD treatment. This study explored contemporary evidence on the inclusion of dental providers on interprofessional healthcare teams treating patients with COPD. The first objective was to explore the current state of interprofessional care for COPD treatment, and the second objective was to explore dentistry used in interprofessional care scenarios. A rapid review was conducted from March–June 2020 using Scopus and PubMed. Upon assessing for duplication and relevance, 85 articles remained for Objective 1, and 194 for Objective 2. The literature strongly suggests that dental providers should be included on interprofessional healthcare teams to best approach COPD as a multi-morbid, chronic disease. The papers collected for review claim that educational and clinical hospital programs should implement interprofessional collaboration when treating chronic diseases. Healthcare teams can utilize the expertise of professionals outside the medical field to better understand their patients' needs. Healthcare administration should consult a One Health framework when developing COPD treatment guidelines. These proposed recommendations are feasible and transferable to the Canadian healthcare system; however, it is anticipated that implementation will be gradual. The collaborative nature of a One Health approach exposes novel ways to develop treatment guidelines that effectively address the burden of COPD.

According to a survey conducted in 2020, 90 percent of large healthcare organizations surveyed that they have an AI and automation strategy, this was an increase in comparison to only 53 percent in 2019. Furthermore, 66 percent were familiar with robotic process automation in 2020, an increase from 50 percent in the preceding year.

This statistic shows a ranking of the estimated current healthcare spending in 2020 in Latin America and the Caribbean, differentiated by country. The spending refers to current spending of both governments and consumers.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 more than 150 countries and regions worldwide. All input data are sourced from international institutions, national statistical offices, and trade associations. All data has been are processed to generate comparable datasets (see supplementary notes under details for more information).

Home care providers support the overall health and well-being of millions in the US annually. This number has been growing fast, expanding the scale and scope of home care providers in recent years. A rising number of adults 65 and older has been the primary driver behind this, as older adults are at a higher risk of developing a condition or experiencing an injury that limits their ability to perform tasks they once did independently. While changing demographic trends are an overarching trend impacting the health sector, the pandemic has permanently altered the industry's trajectory. Widespread outbreaks at residential facilities in the first year of the pandemic led more people to value remaining in their homes as they age; the interest in aging-in-place has only grown even as pandemic concerns have dissipated as older adults look for options that provide safety and independence. In all, revenue has been expanding at a CAGR of 3.5% to an estimated $153.7 billion over the past five years, including expected growth of 3.2% in 2025. The mounting need for home care services and a shortage of home health aides create a mismatch between supply and demand that limits revenue growth. Shortages, preexisting the pandemic, have worsened as caregivers seek more flexible jobs with higher pay, creating increasingly high turnover that pressures providers to raise wages. Medicare reimbursements to home health agencies have been declining for several years, preventing home health agencies from raising salaries despite shortages. Clients eligible for home care services through insurance face long waiting periods, leading more people to opt for self-directed care, where family members or friends work as paid caregivers. Too few caregivers prevent the industry from fully benefiting from ballooning demand and curtail profit growth. Trends driving growth in recent years will accelerate moving forward, providing massive opportunities for home care providers. How home care providers capitalize on these trends will depend on insurer reimbursements and workforce development. Technology, ranging from wearables to telehealth, will have a more prominent role in the industry as providers look for ways to improve patient care while lessening the burden on staff. Regulatory and financial pressures will maintain consolidation activity, with private equity investment likely to expand as well. A major headwind facing the industry will be the future of Medicare policies and to what extent they cover home health and telehealth services. Revenue will grow at a CAGR of 2.8% to an estimated $176.8 billion over the next five years.

[276 Pages Report] The global Varicella Zoster Infection Treatment Market in 2020 is estimated for more than US$ 1.5 Bn and expected to reach a value of US$ 2.0 Bn by 2028 with a significant CAGR of 4.1%. As per Future Market Insights’ projections, in 2022, the acyclovir holds a substantial share of over 55.7% in the overall varicella zoster infection treatment market.

Data Points	Market Insights
Market Value 2022	US$ 1.61 billion
Market Value 2028	US$ 2.05 billion
CAGR 2022-2028	4.1%
Share of top 5 Countries	52.3%
Key Players	Novartis AG, Pfizer Inc., Abbott Laboratories, Sun Pharmaceuticals Industries Ltd., Valeant Pharmaceuticals International Inc., Teva Pharmaceutical Industries Ltd., Dr. Reddy’s Laboratories, ltd., Mylan N.V. and GlaxoSmithKline plc and Others (100% Market Share)

How The Market Progressed Till June 2022?

Particulars	Details
H1, 2021	4.17%
H1, 2022 Projected	4.11%
H1, 2022 Outlook	4.01%
BPS Change - H1, 2022 (O) – H1, 2022 (P)	(-) 10 ↓
BPS Change – H1, 2022 (O) – H1, 2021	(-) 16 ↓

Scope of the Report

Attribute	Details
Forecast Period	2022-2028
Historical Data Available for	2012-2021
Market Analysis	USD Million for Value, Units for Volume
Key Countries Covered	USA, Canada, Brazil, Mexico, Argentina, Germany, UK, France, Italy, Spain, Benelux, Russia, China, Japan, India, ASEAN, Australia, New Zealand, and GCC Countries
Key Segments Covered	Drug Type, Route of Administration, Distribution Channel, and Region
Key Companies Profiled	Novartis AG, Pfizer Inc., Abbott Laboratories, Sun Pharmaceuticals Industries Ltd., Valeant Pharmaceuticals International Inc., Teva Pharmaceutical Industries Ltd., Dr. Reddy’s Laboratories, ltd., Mylan N.V. and GlaxoSmithKline
Report Coverage	Market Forecast, Competition Intelligence, DROT Analysis, Market Dynamics and Challenges, Strategic Growth Initiatives
Customization & Pricing	Available upon Request

This statistic shows a ranking of the estimated per capita consumer spending on healthcare in 2020 in Latin America and the Caribbean, differentiated by country. Consumer spending here refers to the domestic demand of private households and non-profit institutions serving households (NPISHs) in the selected region. Spending by corporations or the state is not included. Consumer spending is the biggest component of the gross domestic product as computed on an expenditure basis in the context of national accounts. The other components in this approach are consumption expenditure of the state, gross domestic investment as well as the net exports of goods and services. Consumer spending is broken down according to the United Nations' Classification of Individual Consumption By Purpose (COICOP). The shown data adheres broadly to group 06. As not all countries and regions report data in a harmonized way, all data shown here has been processed by Statista to allow the greatest level of comparability possible. The underlying input data are usually household budget surveys conducted by government agencies that track spending of selected households over a given period.The data is shown in nominal terms which means that monetary data is valued at prices of the respective year and has not been adjusted for inflation. For future years the price level has been projected as well. The data has been converted from local currencies to US$ using the average exchange rate of the respective year. For forecast years, the exchange rate has been projected as well. The timelines therefore incorporate currency effects.The shown forecast is adjusted for the expected impact of the COVID-19 pandemic on the local economy. The impact has been estimated by considering both direct (e.g. because of restrictions on personal movement) and indirect (e.g. because of weakened purchasing power) effects. The impact assessment is subject to periodic review as more data becomes available.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 more than 150 countries and regions worldwide. All input data are sourced from international institutions, national statistical offices, and trade associations. All data has been are processed to generate comparable datasets (see supplementary notes under details for more information).

The Medical Equipment Maintenance market was valued at 38.2 billion in 2022 and is predicted to be 78.06 billion by 2030 with a CAGR of 9.3% during the forecast period. Factors Affecting Medical Equipment Maintenance Market Growth

Increasing use of corrective maintenance:

Corrective maintenance is more popular and is used extensively by hospitals and research facilities. After an unanticipated failure, corrective maintenance entails replacing or repairing systems or components to restore the physical integrity, aesthetic appeal, and functionality of medical equipment. Thus, such maintenance is required for many high-end gadgets. As a result, this component spurs market expansion.

Increasing Measures for Medical Equipment Maintenance:

In recent years, healthcare organizations have worked to improve patient safety and treatment quality, more attention has been paid to preventive maintenance of medical equipment. This entails a properly planned program where scheduled maintenance chores are carried out to prevent greater and more expensive problems in the future. Additionally, it assists in lowering equipment downtime, which improves daily operations and increases device reliability. As regular inspection and routine maintenance of medical devices can minimize negative incidents and accidents involving medical devices, the preventive maintenance method is gaining popularity. The safe, effective, and long-lasting use of medical devices is guaranteed by routine maintenance services. In the upcoming years, development possibilities for service providers are anticipated as healthcare organizations increasingly place a priority on implementing preventive maintenance techniques.

The Restraining Factor of Medical Equipment Maintenance:

High Installation Cost:

The deployment of these solutions comes with high initial installation costs and heavy maintenance charges, whereas the installation of advanced medical equipment comes with annual services contract-free. Therefore, the servicing cost incurred throughout the equipment’s lifespan is typically greater than the equipment cost. End-user is being discouraged from adopting new medical technology because of the high expenses of both equipment acquisition and maintenance. During the projected period, these factors are anticipated to restrain the expansion of the global market for the maintenance of medical equipment.

Opportunities in the Medical Equipment Maintenance market:

Increasing independent services organization (ISO):

OEMs are third-party vendors. The introductions of ISO are a result of their high cost and extended turnaround times. It is supported by a robust staff of professionals and is only focused on offering provision and maintenance services. Hospital and patient advocacy groups report that ISOs often charge 30-50% less than OEMs for equipment maintenance and repair. With a single unified administration platform, it provides a variety of services to end customers while guaranteeing prompt service delivery across all product categories.

Impact of the COVID-19 Pandemic on the Medical Equipment Maintenance Market:

Medical supplies are becoming more and more in demand as a result of the afflicted populace. Among the most common medical devices used in first-line clinical care are respiratory support devices such as atomizers, life support machines, oxygen generators, and monitoring. Additionally, Covid-19 has caused a significant increase in demand for medical goods such as masks, gloves, and protective eyewear. The need for medical supplies continues to grow among the general public and healthcare professionals due to the increase in covid-19 cases around the world. The producer of these goods has the opportunity to take advantage of the increasing demand for medical supplies in order to guarantee a sufficient and ongoing supply of personal protective equipment on the market. Introduction of Medical Equipment Maintenance

A series of procedures are carried out to keep a piece of machinery operating at its best, including routine inspection, preventative maintenance, and corrective maintenance. Equipment maintenance's primary goal is to prevent equipment breakdown and improve performance. It involves maintaining equipment by carrying out a number of tasks such as part replacement, repair, and servicing. It makes sure the machine is working properly so that production is not...

This statistic shows a ranking of the estimated current healthcare spending per capita in 2020 in Latin America and the Caribbean, differentiated by country. The spending refers to the average current spending of both governments and consumers per inhabitant.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 more than 150 countries and regions worldwide. All input data are sourced from international institutions, national statistical offices, and trade associations. All data has been are processed to generate comparable datasets (see supplementary notes under details for more information).