In 2019, there were an estimated ** thousand public and private sector hospitals in India with the highest number of hospitals in the northern state of Uttar Pradesh. Private sector hospitals outnumbered the public hospitals by a wide margin.

India had an estimated *** thousand hospitals beds spread out over ** thousand hospitals as of 2019. Of these, around *** million beds were in private sector hospitals, outnumbering the public hospitals.

DISCLAIMER

Dataset consists of historical data of pre-pandemic period and doesn’t represent the current reality which may have changed due to the spikes in demand. This dataset has been generated in collaboration of efforts within CoronaWhy community.

Context

Last updated: April 26th 2020 Updates: April 14th 2020 - Added missing population data April 15th 2020 - Added Brazil statewise ICU hospital beds dataset April 21th 2020 - Added Italy, Spain statewise ICU hospital beds dataset, India statewise TOTAL hospital beds dataset April 26th 2020 - Added Sweden ICU(2019) and TOTAL(2018) beds datasets

Purpose of the dataset

I am trying to produce a dataset that will provide a foundation for policymakers to understand the realistic capacity of healthcare providers being able to deal with the spikes in demand for intensive care. As a way to help, I’ve prepared a dataset of beds across countries and states. Work in progress dataset that should and will be updated as more data becomes available and public on weekly basis.

Importance

This dataset is intended to be used as a baseline for understanding the typical bed capacity and coverage globally. This information is critical for understanding the impact of a high utilization event, like COVID-19.

Current challenges

Datasets are scattered across the web and are very hard to normalize, I did my best but help would be much appreciated.

Data sources / Acknowledgments

arcgis (USA) - https://services1.arcgis.com/Hp6G80Pky0om7QvQ/arcgis/rest/services/Hospitals_1/FeatureServer/0 KHN (USA) - https://khn.org/news/as-coronavirus-spreads-widely-millions-of-older-americans-live-in-counties-with-no-icu-beds/ datahub.io (World) - https://datahub.io/world-bank/sh.med.beds.zs eurostat - https://data.europa.eu/euodp/en/data/dataset/vswUL3c6yKoyahrvIRyew OECD - https://data.oecd.org/healtheqt/hospital-beds.htm WDI (World) - https://data.worldbank.org/indicator/SH.MED.BEDS.ZS NHP(India) - http://www.cbhidghs.nic.in/showfile.php?lid=1147 data.gov.sg (Singapore) - https://data.gov.sg/dataset/health-facilities?view_id=91b4feed-dcb9-4720-8cb0-ac2f04b7efd0&resource_id=dee5ccce-4dfb-467f-bcb4-dc025b56b977 dati.salute.gov.it (Italy)- http://www.dati.salute.gov.it/dati/dettaglioDataset.jsp?menu=dati&idPag=96 portal.icuregswe.org (Sweden) - https://portal.icuregswe.org/seiva/en/Rapport publications: Intensive Care Medicine Journal (Europe) - https://link.springer.com/article/10.1007/s00134-012-2627-8 Critical Care Medicine Journal (Asia) - https://www.researchgate.net/figure/Number-of-critical-care-beds-per-100-000-population_fig1_338520008 Medicina Intensiva (Spain) - https://www.medintensiva.org/en-pdf-S2173572713000878 news: https://lanuovaferrara.gelocal.it/italia-mondo/cronaca/2020/03/19/news/dietro-la-corsa-a-nuovi-posti-in-terapia-intensiva-gli-errori-del-passato-1.38611596 kaggle: germany - https://www.kaggle.com/manuelblechschmidt/icu-beds-in-germany brazil (IBGE) - https://www.kaggle.com/thiagobodruk/brazilianstates Manual population data search from wiki

Data columns

country,state,county,lat,lng,type,measure,beds,population,year,source,source_url - country - country of origin, if present - state - more granular location, if present - lat - latitude - lng - longtitude - type - [TOTAL, ICU, ACUTE(some data could include ICU beds too), PSYCHIATRIC, OTHER(merged ‘SPECIAL’, ‘CHRONIC DISEASE’, ‘CHILDREN’, ‘LONG TERM CARE’, ‘REHABILITATION’, ‘WOMEN’, ‘MILITARY’] - measure - type of measure (per 1000 inhabitants) - beds - number of beds per 1000 - population - population of location based on multiple sources and wikipedia - year - source year for beds and population data - source - source of data - source_url - URL of the original source

Files

for each of datasource: hospital_beds_per_source.csv

US only: US arcgis + khn (state/county granularity): hospital_beds_USA.csv

Global (state(region)/county granularity): hospital_beds_global_regional.csv

Global (country granularity): hospital_beds_global_v1.csv

Contributors

Igor Kiulian - extracting/normalizing/formatting/merging data Artur Kiulian - helped with Kaggle setup Augaly S. Kiedi - helped with country population data Kristoffer Jan Zieba - found Swedish data sources

Possible Improvements

Find and megre more detailed (state/county wise) or newer datasource

There were an estimated ** thousand intensive care unit hospitals beds across India in 2019. Of these, private hospitals had the highest number of beds at around ** thousand, compared to around ** thousand ICU beds in public hospitals.

Government Hospital: Andhra Pradesh: Number of Hospital Beds data was reported at 39,852.000 Unit in 2022. This records an increase from the previous number of 36,719.000 Unit for 2021. Government Hospital: Andhra Pradesh: Number of Hospital Beds data is updated yearly, averaging 36,719.000 Unit from Dec 2005 (Median) to 2022, with 11 observations. The data reached an all-time high of 86,721.000 Unit in 2019 and a record low of 19,848.000 Unit in 2015. Government Hospital: Andhra Pradesh: Number of Hospital Beds data remains active status in CEIC and is reported by Central Bureau of Health Intelligence. The data is categorized under India Premium Database’s Health Sector – Table IN.HLA002: Health Infrastructure: Government Hospital Beds.

This dataset is being provided under creative commons License (Attribution-Non-Commercial-Share Alike 4.0 International (CC BY-NC-SA 4.0)) https://creativecommons.org/licenses/by-nc-sa/4.0/

Context

This data was collected from patients admitted over a period of two years (1 April 2017 to 31 March 2019) at Hero DMC Heart Institute, Unit of Dayanand Medical College and Hospital, Ludhiana, Punjab, India. This is a tertiary care medical college and hospital. During the study period, the cardiology unit had 14,845 admissions corresponding to 12,238 patients. 1921 patients who had multiple admissions.

Specifically, data were related to patients ; date of admission; date of discharge; demographics, such as age, sex, locality (rural or urban); type of admission (emergency or outpatient); patient history, including smoking, alcohol, diabetes mellitus (DM), hypertension (HTN), prior coronary artery disease (CAD), prior cardiomyopathy (CMP), and chronic kidney disease (CKD); and lab parameters corresponding to hemoglobin (HB), total lymphocyte count (TLC), platelets, glucose, urea, creatinine, brain natriuretic peptide (BNP), raised cardiac enzymes (RCE) and ejection fraction (EF). Other comorbidities and features (28 features), including heart failure, STEMI, and pulmonary embolism, were recorded and analyzed.

Shock was defined as systolic blood pressure < 90 mmHg, and when the cause for shock was any reason other than cardiac. Patients in shock due to cardiac reasons were classified into cardiogenic shock. Patients in shock due to multifactorial pathophysiology (cardiac and non-cardiac) were considered for both categories. The outcomes indicating whether the patient was discharged or expired in the hospital were also recorded.

Further details about this dataset can be found here: https://doi.org/10.3390/diagnostics12020241

If you use this dataset in academic research all publications arising out of it must cite the following paper: Bollepalli, S.C.; Sahani, A.K.; Aslam, N.; Mohan, B.; Kulkarni, K.; Goyal, A.; Singh, B.; Singh, G.; Mittal, A.; Tandon, R.; Chhabra, S.T.; Wander, G.S.; Armoundas, A.A. An Optimized Machine Learning Model Accurately Predicts In-Hospital Outcomes at Admission to a Cardiac Unit. Diagnostics 2022, 12, 241. https://doi.org/10.3390/diagnostics12020241

If you intend to use this data for commercial purpose explicit written permission is required from data providers.

Content

table_headings.csv has explanatory names of all columns.

Acknowledgements

Data was collected from Hero Dayanand Medical College Heart Institute Unit of Dayanand Medical College and Hospital, Ludhiana, Punjab, India.

Inspiration

For any questions about the data or collaborations please contact ashish.sahani@iitrpr.ac.in

Government Hospital: Goa: Number of Hospitals: Rural data was reported at 25.000 Unit in 2022. This records an increase from the previous number of 18.000 Unit for 2019. Government Hospital: Goa: Number of Hospitals: Rural data is updated yearly, averaging 14.000 Unit from Dec 2005 (Median) to 2022, with 15 observations. The data reached an all-time high of 25.000 Unit in 2022 and a record low of 7.000 Unit in 2010. Government Hospital: Goa: Number of Hospitals: Rural data remains active status in CEIC and is reported by Central Bureau of Health Intelligence. The data is categorized under India Premium Database’s Health Sector – Table IN.HLA001: Health Infrastructure: Government Hospitals.

Government Hospital: West Bengal: Number of Hospitals data was reported at 1,510.000 Unit in 2022. This records a decrease from the previous number of 1,594.000 Unit for 2019. Government Hospital: West Bengal: Number of Hospitals data is updated yearly, averaging 1,082.000 Unit from Dec 2005 (Median) to 2022, with 10 observations. The data reached an all-time high of 1,594.000 Unit in 2019 and a record low of 294.000 Unit in 2009. Government Hospital: West Bengal: Number of Hospitals data remains active status in CEIC and is reported by Central Bureau of Health Intelligence. The data is categorized under India Premium Database’s Health Sector – Table IN.HLA001: Health Infrastructure: Government Hospitals.

Government Hospital: Andhra Pradesh: Number of Hospitals data was reported at 1,967.000 Unit in 2022. This records an increase from the previous number of 1,444.000 Unit for 2021. Government Hospital: Andhra Pradesh: Number of Hospitals data is updated yearly, averaging 460.000 Unit from Dec 2005 (Median) to 2022, with 11 observations. The data reached an all-time high of 6,234.000 Unit in 2019 and a record low of 258.000 Unit in 2016. Government Hospital: Andhra Pradesh: Number of Hospitals data remains active status in CEIC and is reported by Central Bureau of Health Intelligence. The data is categorized under India Premium Database’s Health Sector – Table IN.HLA001: Health Infrastructure: Government Hospitals.

Snapshot img

Hospital Beds Market Size 2025-2029

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

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

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

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

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

How is this Hospital Beds Industry segmented?

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

Product

  Manual beds
  Semi-automated beds
  Automated beds


Application

  Intensive care
  Acute care
  Home care


End-user

  Hospitals
  Home healthcare
  Elderly care facilities
  Ambulatory surgical centers


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    UK


  APAC

    China
    India
    Japan
    South Korea


  South America

    Brazil


  Rest of World (ROW)

.

By Product Insights

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

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

Operating room tables and electric actuators facilitate efficien

Government Hospital: Rajasthan: Number of Hospitals data was reported at 3,236.000 Unit in 2022. This records an increase from the previous number of 2,849.000 Unit for 2019. Government Hospital: Rajasthan: Number of Hospitals data is updated yearly, averaging 2,512.000 Unit from Dec 2005 (Median) to 2022, with 11 observations. The data reached an all-time high of 3,236.000 Unit in 2022 and a record low of 434.000 Unit in 2006. Government Hospital: Rajasthan: Number of Hospitals data remains active status in CEIC and is reported by Central Bureau of Health Intelligence. The data is categorized under India Premium Database’s Health Sector – Table IN.HLA001: Health Infrastructure: Government Hospitals.

Government Hospital: Rajasthan: Number of Hospital Beds data was reported at 58,480.000 Unit in 2022. This records an increase from the previous number of 46,778.000 Unit for 2019. Government Hospital: Rajasthan: Number of Hospital Beds data is updated yearly, averaging 38,617.000 Unit from Dec 2005 (Median) to 2022, with 11 observations. The data reached an all-time high of 58,480.000 Unit in 2022 and a record low of 21,314.000 Unit in 2006. Government Hospital: Rajasthan: Number of Hospital Beds data remains active status in CEIC and is reported by Central Bureau of Health Intelligence. The data is categorized under India Premium Database’s Health Sector – Table IN.HLA002: Health Infrastructure: Government Hospital Beds.

BackgroundThe coronavirus disease 2019 (COVID-19) pandemic has influenced antibiotic consumption over a long period, with variability in trends among studies. We conducted this systematic review to explore and compare the effect of the pandemic on overall and individual antibiotic consumption in 2020 with that in 2019.MethodsThis systematic literature review was conducted using PubMed, EMBASE, and Web of Science databases. Data on antibiotic consumption in Japan was sourced from the Japan Surveillance of Antimicrobial Consumption.ResultsA total of 1,442 articles and reports were screened, and 16 eligible articles were reviewed. The included studies were conducted in Jordan, Australia, Canada, UK, Japan, Brazil, India, China, and the EU. There was no study from African and Southeast Asian Countries. Overall, antibiotic consumption in the community consistently reduced in 2020. Studies from Australia, Canada, Portugal, Spain, the UK, Japan, and the European Union reported both decreases in overall and selected individual antibiotics consumption. In contrast, hospital-based studies reported both increases and decreases. Hospital-based studies in Lebanon, Spain, Italy, India, and the UK reported an increase in antibiotic consumption in 2020. Studies reporting an interruption of antibiotic stewardship programs during the pandemic also reported increases in antibiotic consumption for hospitalized patients in 2020 compared with that in 2019.ConclusionOur results showed a different trend between communities and hospitals in antibiotic consumption during 2020 compared to 2019. The continuity of the antibiotic stewardship program might have influenced the antibiotic consumption trend variability among hospitals in 2020. Alongside this, the lack of information on antibiotic consumption from low-income countries and limited reports from middle-income countries revealed gaps that need to be urgently filled.

Snapshot img

Healthcare Analytics Market Size 2025-2029

The healthcare analytics market size is valued to increase USD 81.28 billion, at a CAGR of 25% from 2024 to 2029. Growing integration of Big Data with healthcare analytics will drive the healthcare analytics market.

Major Market Trends & Insights

APAC dominated the market and accounted for a 36% growth during the forecast period.
By Component - Services segment was valued at USD 6.7 billion in 2023
By Deployment - On-premise segment accounted for the largest market revenue share in 2023

Market Size & Forecast

Market Opportunities: USD 605.22 million
Market Future Opportunities: USD 81278.80 million
CAGR from 2024 to 2029: 25%

Market Summary

The market represents a dynamic and continuously evolving industry, driven by advancements in core technologies and applications. Big Data integration is a significant trend, enabling healthcare providers to analyze vast amounts of patient data and deliver personalized care. Furthermore, the increasing use of Internet-enabled mobile devices in healthcare facilitates remote patient monitoring and real-time data access. However, market growth is not without challenges. Data security and privacy concerns persist, necessitating robust solutions to protect sensitive patient information.
According to recent reports, the market is expected to account for over 30% of the overall Big Data market share by 2025. This underscores the immense potential for growth and innovation in this sector.

What will be the Size of the Healthcare Analytics Market during the forecast period?

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How is the Healthcare Analytics Market Segmented ?

The healthcare analytics 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

  Services
  Software
  Hardware


Deployment

  On-premise
  Cloud-based


Type

  Descriptive Analysis
  Predictive Analysis
  Prescriptive and Diagnostics


Application

  Financial Analytics
  Clinical Analytics
  Operations and Administrative Analytics
  Population Health Analytics


End-User

  Insurance Company
  Government Agencies
  Healthcare Providers
  Pharmaceutical and Medical Device Companies


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    Italy
    UK


  APAC

    China
    India
    Japan
    South Korea


  Rest of World (ROW)

By Component Insights

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

In the dynamic healthcare landscape, analytics plays a pivotal role in enhancing operational efficiency, improving patient outcomes, and ensuring regulatory compliance. Data mining techniques, such as machine learning algorithms and natural language processing, are revolutionizing the sector by extracting valuable insights from vast amounts of data. Wearable sensor data and electronic health records are fueling the growth of public health analytics, enabling real-time disease surveillance and population health management. The market for healthcare analytics is expanding, with operational efficiency metrics, such as claims processing automation and fraud detection systems, driving growth. Population health management and chronic disease management are significant applications, with predictive modeling and risk stratification models playing essential roles in identifying high-risk patients and optimizing healthcare costs.

Medical device development, interoperability standards, and data privacy regulations are other critical areas of focus. The industry is expected to grow substantially, with consulting and software support services experiencing a surge in demand. According to recent studies, the consulting segment is projected to expand by 18.7%, while software support is anticipated to grow by 21.5%. The need for healthcare cost optimization, healthcare security protocols, and data privacy regulations is driving this growth. Healthcare analytics services cater to various end-users, including large hospitals, tissue and blood processing organizations, and rural medical centers, as well as individual doctors' offices, full-service hospitals, and multi-location clinics.

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The Services segment was valued at USD 6.7 billion in 2019 and showed a gradual increase during the forecast period.

The ongoing shift to cloud-based IT infrastructure and the increasing demand for IT education and training are further fueling market expansion. In summary, healthcare analytics is a continuously evolving field, with a wide range of applications and growth areas. The integration of data from various sources, such as wearable sensors, electronic health records, and

India’s public health expenditure has been steadily rising over the last decade in order to cater to its growing population. In fiscal year 2019, it amounted to about *** billion Indian rupees.

When wealth decides health

Overall, India’s per capita expenditure on health amounted to over ***** Indian rupees that same year. However, this was an average estimate with some parts of the country focusing on health far more than others. For example, the larger and wealthier states like Maharashtra and Uttar Pradesh spent between *** to *** billion rupees on health in fiscal year 2018; whereas north-eastern states which have historically been poorer and more remote, spent around ***** to *** billion rupees on healthcare that year.

Private versus public

The low health expenditure by the government has led to a highly developed private health care sector. Private hospitals make up more than half of the country’s healthcare infrastructure, while private insurance is usually the norm for middle to upper class citizens. However, this is not to say that the government is not working towards its goal of universal healthcare by 2025. Various programs like the Ayushman Bharat and the National Health Mission have already showed some success by providing the common man with an alternative to exorbitant healthcare costs and treatments.

Snapshot img

Internet Of Things In Healthcare Market Size 2025-2029

The internet of things in healthcare market size is forecast to increase by USD 297.9 billion at a CAGR of 18.4% between 2024 and 2029.

The Internet of Things (IoT) in healthcare is experiencing significant growth, driven by the increasing adoption of remote patient monitoring and advancements in healthcare technology. Remote patient monitoring enables real-time health data collection and analysis, improving patient care and reducing hospital readmissions. This trend is particularly relevant in the current healthcare landscape, where social distancing measures have accelerated the need for remote healthcare solutions. However, the IoT in healthcare market faces substantial challenges. Technological advancements, while beneficial, also bring increased threats to cybersecurity.
Protecting sensitive patient data from cyber-attacks is a pressing concern for healthcare providers and insurers. Effective cybersecurity measures must be integrated into IoT devices and healthcare systems to ensure patient data privacy and security. Companies must address these challenges while capitalizing on the opportunities presented by remote patient monitoring and technological advancements to remain competitive in the evolving healthcare landscape. Advanced software and system solutions process and analyze vast amounts of data, providing valuable insights for healthcare professionals.

What will be the Size of the Internet Of Things In Healthcare Market during the forecast period?

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The Internet of Things (IoT) is revolutionizing healthcare, enhancing affordability and efficiency through various applications. Medical imaging analytics leverage IoT for faster, more accurate diagnoses, while population health management systems use real-time data for proactive care. Medication reminder apps and personalized treatment plans improve patient adherence, contributing to value-based care. Clinical trial recruitment and genomic sequencing benefit from IoT's data collection capabilities, driving innovation in research. Public health surveillance and hospital bed management optimize resources, ensuring better patient outcomes. Digital health literacy and healthcare workforce development are fostered through IoT-enabled training programs. Patient portals, precision medicine diagnostics, and automated medical transcription streamline administrative tasks.
Healthcare financing, biometric authentication, and healthcare policy are also influenced by IoT trends. Telehealth adoption and wearable device integration enable remote diagnostics and virtual reality therapy, expanding access to care. Global healthcare trends indicate continued growth in IoT applications, from home health automation and healthcare outcomes research to automated medication adherence and remote patient monitoring. Security remains a concern, necessitating robust data protection measures.

How is this Internet of Things In Healthcare Industry segmented?

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

Type

  Medical devices
  Software and system application
  Connecting technologies


Application

  Telemedicine
  Patient monitoring
  Clinical operation and workflow management
  Others


End-user

  Hospitals and clinics
  Pharmaceutical and biotechnology companies
  Government and defence institutions
  Clinical research organizations
  Others


Geography

  North America

    US
    Canada
    Mexico


  Europe

    France
    Germany
    UK


  APAC

    China
    India
    Japan


  South America

    Brazil


  Rest of World (ROW)

By Type Insights

The medical devices segment is estimated to witness significant growth during the forecast period. The Internet of Things (IoT) is revolutionizing healthcare through advanced technologies such as machine learning algorithms and predictive analytics, enhancing healthcare quality and accessibility. IoT enables smart home healthcare, allowing remote patient monitoring, HIPAA compliance, and data visualization. Mental health monitoring is improved with digital health solutions, while precision medicine and telemedicine platforms offer personalized healthcare and clinical decision support. Network infrastructure and healthcare IT support the integration of medical devices and hospital automation, ensuring healthcare interoperability and medication management. IoT-enabled devices, including body sensor networks and medical imaging, collect and analyze data for diagnostic testing and clinical trials.

Elderly

Snapshot img

Medical Devices Market Size 2025-2029

The medical devices market size is valued to increase by USD 223 billion, at a CAGR of 6.5% from 2024 to 2029. Increasing prevalence of diseases will drive the medical devices market.

Major Market Trends & Insights

North America dominated the market and accounted for a 37% growth during the forecast period.
By End-user - Hospitals and ASCs segment was valued at USD 380.90 billion in 2023
By Product Type - Diagnostic devices segment accounted for the largest market revenue share in 2023

Market Size & Forecast

Market Opportunities: USD 64.11 billion
Market Future Opportunities: USD 223.00 billion
CAGR : 6.5%
North America: Largest market in 2023

Market Summary

The market encompasses a dynamic and evolving landscape, driven by the increasing prevalence of diseases and the emergence of innovative medical technologies. Core technologies, such as robotics, artificial intelligence, and nanotechnology, are revolutionizing healthcare delivery, while applications span from diagnostics and monitoring to therapy and surgery. Service types and product categories, including medical implants, diagnostic equipment, and therapeutic devices, continue to expand, driven by advancements in materials science and biotechnology. Regulatory bodies play a crucial role in shaping market dynamics, with stringent regulations ensuring safety and efficacy.
For instance, the US Food and Drug Administration (FDA) approved over 4,000 medical devices in 2020 alone. Despite these opportunities, challenges persist, including declining reimbursement and cost containment measures, which impact market growth. Overall, the market demonstrates a robust and continually evolving ecosystem, offering significant potential for innovation and growth.

What will be the Size of the Medical Devices Market during the forecast period?

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How is the Medical Devices Market Segmented and what are the key trends of market segmentation?

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

End-user

  Hospitals and ASCs
  Clinics
  Others


Product Type

  Diagnostic devices
  Therapeutic devices
  Monitoring devices
  Assistive and rehabilitation devices
  Others


Application

  Cardiovascular
  Orthopedic
  Diagnostic imaging
  Dental
  Others


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    Italy
    UK


  APAC

    China
    India
    Japan
    South Korea


  Rest of World (ROW)

By End-user Insights

The hospitals and ascs segment is estimated to witness significant growth during the forecast period.

The market encompasses a diverse range of technologies and applications, with hospitals and Ambulatory Surgical Centers (ASCs) representing a significant and growing sector. Hospitals and ASCs are essential consumers of medical devices, requiring equipment for diagnosis, treatment, and patient monitoring. The market's expansion is fueled by increasing healthcare expenditures from both public and private entities. Approximately 45% of global medical device sales stem from hospitals and ASCs, with this figure projected to reach 48% by 2026. Simultaneously, the market's overall value is anticipated to surge by 12% in the next five years, reaching a total worth of USD675 billion.

Sensor technology, including wearable sensors, plays a pivotal role in this market, enabling remote patient monitoring and minimally invasive procedures. Quality control systems, diagnostic imaging, and medical implants, such as prosthetic limbs, are other key areas of growth. Advanced technologies like artificial intelligence, data analytics, and data encryption are revolutionizing medical devices, enhancing their capabilities and improving patient outcomes. Minimally invasive surgery, risk management, supply chain management, design controls, and patient monitoring are some of the market trends shaping the industry. Signal processing, clinical trials, device sterilization, electrical stimulation, surgical instruments, tissue engineering, regulatory compliance, material science, biocompatible materials, wireless communication, software validation, therapeutic devices, human factors engineering, machine learning, manufacturing processes, drug delivery systems, image processing, and additive manufacturing are all integral components of the market.

In summary, the market is a dynamic and evolving sector, driven by advancements in technology and increasing demand from hospitals and ASCs. With a projected growth of 12% and a total value of USD675 billion by 2026, this market offers significant opportunities for innovation and expansion.

Government Hospital: Odisha: Number of Hospitals: Rural data was reported at 1,671.000 Unit in 2022. This records an increase from the previous number of 1,655.000 Unit for 2019. Government Hospital: Odisha: Number of Hospitals: Rural data is updated yearly, averaging 1,655.000 Unit from Dec 2005 (Median) to 2022, with 16 observations. The data reached an all-time high of 1,671.000 Unit in 2022 and a record low of 323.000 Unit in 2005. Government Hospital: Odisha: Number of Hospitals: Rural data remains active status in CEIC and is reported by Central Bureau of Health Intelligence. The data is categorized under India Premium Database’s Health Sector – Table IN.HLA001: Health Infrastructure: Government Hospitals.

Based on a comparison of coronavirus deaths in 210 countries relative to their population, Peru had the most losses to COVID-19 up until July 13, 2022. As of the same date, the virus had infected over 557.8 million people worldwide, and the number of deaths had totaled more than 6.3 million. Note, however, that COVID-19 test rates can vary per country. Additionally, big differences show up between countries when combining the number of deaths against confirmed COVID-19 cases. The source seemingly does not differentiate between "the Wuhan strain" (2019-nCOV) of COVID-19, "the Kent mutation" (B.1.1.7) that appeared in the UK in late 2020, the 2021 Delta variant (B.1.617.2) from India or the Omicron variant (B.1.1.529) from South Africa.

The difficulties of death figures

This table aims to provide a complete picture on the topic, but it very much relies on data that has become more difficult to compare. As the coronavirus pandemic developed across the world, countries already used different methods to count fatalities, and they sometimes changed them during the course of the pandemic. On April 16, for example, the Chinese city of Wuhan added a 50 percent increase in their death figures to account for community deaths. These deaths occurred outside of hospitals and went unaccounted for so far. The state of New York did something similar two days before, revising their figures with 3,700 new deaths as they started to include “assumed” coronavirus victims. The United Kingdom started counting deaths in care homes and private households on April 29, adjusting their number with about 5,000 new deaths (which were corrected lowered again by the same amount on August 18). This makes an already difficult comparison even more difficult. Belgium, for example, counts suspected coronavirus deaths in their figures, whereas other countries have not done that (yet). This means two things. First, it could have a big impact on both current as well as future figures. On April 16 already, UK health experts stated that if their numbers were corrected for community deaths like in Wuhan, the UK number would change from 205 to “above 300”. This is exactly what happened two weeks later. Second, it is difficult to pinpoint exactly which countries already have “revised” numbers (like Belgium, Wuhan or New York) and which ones do not. One work-around could be to look at (freely accessible) timelines that track the reported daily increase of deaths in certain countries. Several of these are available on our platform, such as for Belgium, Italy and Sweden. A sudden large increase might be an indicator that the domestic sources changed their methodology.

Where are these numbers coming from?

The numbers shown here were collected by Johns Hopkins University, a source that manually checks the data with domestic health authorities. For the majority of countries, this is from national authorities. In some cases, like China, the United States, Canada or Australia, city reports or other various state authorities were consulted. In this statistic, these separately reported numbers were put together. For more information or other freely accessible content, please visit our dedicated Facts and Figures page.

Government Hospital: Odisha: Number of Hospitals: Urban data was reported at 179.000 Unit in 2022. This records an increase from the previous number of 151.000 Unit for 2019. Government Hospital: Odisha: Number of Hospitals: Urban data is updated yearly, averaging 91.000 Unit from Dec 2005 (Median) to 2022, with 16 observations. The data reached an all-time high of 179.000 Unit in 2022 and a record low of 80.000 Unit in 2010. Government Hospital: Odisha: Number of Hospitals: Urban data remains active status in CEIC and is reported by Central Bureau of Health Intelligence. The data is categorized under India Premium Database’s Health Sector – Table IN.HLA001: Health Infrastructure: Government Hospitals.