In 2024, the annual spending on public healthcare in the United Kingdom (UK) accounted for *** percent of GDP. This is an increase from *** percent in 2023. Total spending on health in the UK In total, approximately *** billion British pounds were spent on healthcare in the UK in 2024. Although, spending as a share of GDP decreased from 2009 to 2019, the total spending on health has continued to increase. Broken down by function, the UK government spent *** billion pounds on curative/rehabilitative care. Performance of the NHS in the UK Waiting times have been getting worse in the A&E department over the years. The NHS has been falling behind the target that ** percent of patients should be seen within * hours of arrival. As a result, the primary reasons for dissatisfaction with the NHS among the public are the length of time required to get a GP or hospital appointment and the lack of staff.

Digital static display advertising spending of companies in the healthcare sector stood at ****** million U.S. dollars in the United Kingdom (UK) in 2021. That constitutes an increase of **** million dollars or ***** percent compared to the value of ****** million reported a year earlier. For more insights about advertising in the United Kingdom: In 2021, in comparison to the ad expenditure of the healthcare category on internet, the ad expenditure of the healthcare category on magazines as well as on outdoor was considerably lower.

Healthcare expenditure statistics, produced to the international definitions of the System of Health Accounts 2011.

Subcategories may not sum to aggregates due to rounding.

The expenditure on cinema advertising of the healthcare category in the United Kingdom declined to **** million U.S. dollars in 2021. The spending thereby reached its lowest value in recent years.For more insights about advertising in the United Kingdom: In 2021, in comparison to the ad expenditure of the healthcare category on cinema, the ad expenditure of the healthcare category on magazines as well as on outdoor was considerably higher.

TV advertising spending of companies in the healthcare sector stood at ****** million U.S. dollars in the United Kingdom (UK) in 2021. That constitutes an increase of **** million dollars or ***** percent compared to the value of *** million reported a year earlier.For more insights about advertising in the United Kingdom: In 2021, in comparison to the ad expenditure of the healthcare category on television, the ad expenditure of the healthcare category on internet was lower and on newspapers it was considerably lower.

Healthcare spending in the United Kingdom (UK) in both sectors has increased since 1997, although spending in the public sector has increased at a faster rate. By 2018, public healthcare expenditure in the UK stood at to 149.5 billion British pounds, compared to 34.5 billion British pounds in the private sector.

Health expenditure in the UK compared to Europe 

In 2019, the UK spent just over ten percent of its GDP on healthcare. In comparison to other European countries, this ranked the UK seventh in terms of health expenditure in 2019. Top of the list was Switzerland, which spent 12.1 percent of its’ GDP on healthcare in this year.  

Performance of the public health sector in UK 

The majority of people questioned in a survey in the UK, regard the NHS as a world class health service and remain happy with the high level of care provided by the organization. Although waiting times have been getting worse in the A&E department over the years. The NHS has been falling behind the target that 95 percent of patients should be seen within four hours of arrival. As a result, the primary reasons for dissatisfaction with the NHS among the public are the length of time required to get a GP or hospital appointment and the lack of staff.   

Data older than October 2014 is available on the National Archives website.

Older data is available on the National Archives website.

Data older than October 2014 is available on the National Archives website.

In 2019, it was estimated that inpatient hospital admissions caused by stress-related illnesses in the United Kingdom cost around *** billion U.S. dollars, making up the majority of healthcare expenditure on stress-related illnesses. Furthermore, GP appointments driven by stress-related illnesses accounted for around *** billion U.S. dollars of healthcare spending.

Older data is available on the National Archives website.

United Kingdom UK: Increase in Poverty Gap at $3.20: Poverty Line Due To Out-of-Pocket Health Care Expenditure: 2011 PPP: % of Poverty Line data was reported at 0.000 % in 2013. This stayed constant from the previous number of 0.000 % for 2005. United Kingdom UK: Increase in Poverty Gap at $3.20: Poverty Line Due To Out-of-Pocket Health Care Expenditure: 2011 PPP: % of Poverty Line data is updated yearly, averaging 0.000 % from Dec 1995 (Median) to 2013, with 5 observations. The data reached an all-time high of 0.000 % in 2013 and a record low of 0.000 % in 2013. United Kingdom UK: Increase in Poverty Gap at $3.20: Poverty Line Due To Out-of-Pocket Health Care Expenditure: 2011 PPP: % of Poverty Line data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United Kingdom – Table UK.World Bank.WDI: Poverty. Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure, as a percentage of the $3.20 poverty line. The poverty gap increase due to out-of-pocket health spending is one way to measure how much out-of-pocket health spending pushes people below or further below the poverty line (the difference in the poverty gap due to out-of-pocket health spending being included or excluded from the measure of household welfare). This difference corresponds to the total out-of-pocket health spending for households that are already below the poverty line, to the amount that exceeds the shortfall between the poverty line and total consumption for households that are impoverished by out-of-pocket health spending and to zero for households whose consumption is above the poverty line after accounting for out-of-pocket health spending.; ; World Health Organization and World Bank. 2019. Global Monitoring Report on Financial Protection in Health 2019.; Weighted average;

Crude rate of cost of admissions for alcohol-related conditions (Broad definition) per head of population.

Rationale Alcohol misuse across the UK is a significant public health problem with major health, social, and economic consequences. This indicator aims to highlight the impact of alcohol-related conditions on inpatient hospital services in England. High costs of alcohol-related admissions are indicative of poor population health and high alcohol consumption. This indicator highlights the resource implications of alcohol-related conditions and supports the arguments for local health promotion initiatives. Publication of this indicator will allow national and local cost estimates to be updated and consistently monitored going forward. This measure accounts for just one aspect of the cost of alcohol to society, but there are others such as primary care, crime, ambulatory services, and specialist treatment services as well as broader costs such as unemployment and loss of productivity.

The Government has said that everyone has a role to play in reducing the harmful use of alcohol. This indicator is one of the key contributions by the Government (and the Department of Health and Social Care) to promote measurable, evidence-based prevention activities at a local level, and supports the national ambitions to reduce harm set out in the Government's Alcohol Strategy. This ambition is part of the monitoring arrangements for the Responsibility Deal Alcohol Network. Alcohol-related admissions can be reduced through local interventions to reduce alcohol misuse and harm.

References: (1) PHE (2020) The Burden of Disease in England compared with 22 peer countries https://www.gov.uk/government/publications/global-burden-of-disease-for-england-international-comparisons/the-burden-of-disease-in-england-compared-with-22-peer-countries-executive-summary

Definition of numerator The total cost (£s) of alcohol-related admissions (Broad). Admissions to hospital where the primary diagnosis is an alcohol-related condition, or a secondary diagnosis is an alcohol-related external cause.

More specifically, hospital admissions records are identified where the admission is a finished episode [epistat = 3]; the admission is an ordinary admission, day case or maternity [classpat = 1, 2 or 5]; it is an admission episode [epiorder = 1]; the sex of the patient is valid [sex = 1 or 2]; there is a valid age at start of episode [startage between 0 and 150 or between 7001 and 7007]; the region of residence is one of the English regions, no fixed abode or unknown [resgor <= K or U or Y]; the episode end date [epiend] falls within the financial year, and an alcohol-attributable ICD10 code appears in the primary diagnosis field [diag_01] or an alcohol-related external cause code appears in any diagnosis field [diag_nn].

For each episode identified, an alcohol-attributable fraction is applied to the primary diagnosis field or an alcohol-attributable external cause code appears in one of the secondary codes based on the diagnostic codes, age group, and sex of the patient. Where there is more than one alcohol-related ICD10 code among the 20 possible diagnostic codes, the code with the largest alcohol-attributable fraction is selected; in the event of there being two or more codes with the same alcohol-attributable fraction within the same episode, the one from the lowest diagnostic position is selected. For a detailed list of all alcohol-attributable diseases, including ICD 10 codes and relative risks, see ‘Alcohol-attributable fractions for England: an update’ (2). Alcohol-related hospital admission episodes were extracted from HES according to the Broad definition and admissions flagged as either elective or non-elective based on the admission method field.

The cost of each admission episode was calculated using the National Cost Collection (published by NHS England) main schedule dataset for the corresponding financial year applied to elective and non-elective admission episodes. The healthcare resource group (HRG) was identified using the HES field SUSHRG [SUS Generated HRG], which is the SUS PbR derived HRG code at episode level. Healthcare Resource Groups (HRGs) are standard groupings of clinically similar treatments which use common levels of healthcare resource. The elective admissions were assigned an average of the elective and day-case costs. The non-electives were assigned an average of the non-elective long stay and non-elective short stay costs. Where the HRG was not available or did not match the National Reference Costs look-up table, an average elective or non-elective cost was imputed. This may result in the cost of these admissions being underestimated. For each record, the AAF was multiplied by the reference cost and the resulting values were aggregated by the required output geographies to provide numerators for the cost per capita indicator.

References: (2) PHE (2020) Alcohol-attributable fractions for England: an update https://www.gov.uk/government/publications/alcohol-attributable-fractions-for-england-an-update

Definition of denominator Mid-year population estimates.

Caveats Not all alcohol-related conditions require inpatient services, so this indicator is only one measure of the alcohol-related health problems in each local area. However, inpatient admissions are easily monitored, and this indicator provides local authorities with a routine method of monitoring the health impacts of alcohol in their local populations.

The Healthcare Resource Group cost assigned to each hospital admission is for the initial admission episode only and doesn’t include costs related to alcohol in any subsequent episodes in the hospital spell. Where the HRG was not available or did not match the National Reference Costs look-up table, an average elective or non-elective cost was imputed. This may result in the cost of these admissions being underestimated. It must be noted that the numerator is based on the financial year and the denominator on calendar mid-year population estimates, e.g., 2019/20 admission rates are constructed from admission counts for the 2019/20 financial year and mid-year population estimates for the 2020 calendar year. Data for England includes records with geography 'No fixed abode'. Alcohol-attributable fractions were not available for children. Conditions where low levels of alcohol consumption are protective (have a negative alcohol-attributable fraction) are not included in the calculation of the indicator. This does not include attendance at Accident and Emergency departments. Hospital Episode Statistics overall is well completed. However, year-on-year variations exist due to poor completion from a proportion of trusts.

Analysis has revealed significant differences across the country in the coding of cancer patients in the Hospital Episode Statistics. In particular, in some areas, regular attenders at hospital for treatments like chemotherapy and radiotherapy are being incorrectly recorded as ordinary or day-case admissions. Since cancer admissions form part of the overarching alcohol-related admission national indicators, the inconsistent recording across the country for cancer patients has some implication for these headline measures.

Cancer admissions make up approximately a quarter of the total number of alcohol-related admissions. Analysis suggests that, although most Local Authorities would remain within the same RAG group compared with the England average if cancer admissions were removed, the ranking of Local Authorities within RAG groups would be altered. We are continuing to monitor the impact of this issue and to consider ways of improving the consistency between areas. The COVID-19 pandemic had a large impact on hospital activity with a reduction in admissions in 2020 to 2021. Because of this, NHS Digital has been unable to analyse coverage (measured as the difference between expected and actual records submitted by NHS Trusts) in the normal way. There may have been issues around coverage in some areas which were not identified as a result.

This is a report on admitted patient care activity in English NHS hospitals and English NHS-commissioned activity in the independent sector. This annual publication covers the financial year ending March 2020. It contains final data and replaces the provisional data that are released each month. The data are taken from the Hospital Episodes Statistics (HES) data warehouse. HES contains records of all admissions, appointments and attendances for patients at NHS hospitals in England. The HES data used in this publication are called 'Finished Consultant Episodes', and each episode relates to a period of care for a patient under a single consultant at a single hospital. Therefore this report counts the number of episodes of care for admitted patients rather than the number of patients. This publication shows the number of episodes during the period, with a number of breakdowns including by patient's age, gender, diagnosis, procedure involved and by provider. Hospital Adult Critical Care (ACC) data are now included within this report, following the discontinuation of the 'Hospital Adult Critical Care Activity' publication. The ACC data tables are not a designated National Statistic and they remain separate from the APC data tables. The ACC data used in this publication draws on records submitted by providers as an attachment to the admitted patient care record. These data show the number of adult critical care records during the period, with a number of breakdowns including admission details, discharge details, patient demographics and clinical information. The purpose of this publication is to inform and support strategic and policy-led processes for the benefit of patient care. This document will also be of interest to researchers, journalists and members of the public interested in NHS hospital activity in England. Supplementary analysis has been produced, by NHS Digital, containing experimental statistics using the Paediatric Critical Care Minimum Data Set (PCCMDS) data, collected by NHS Digital, against activity published in NHS Reference Costs. This analysis seeks to assist users of the data in understanding the data quality of reported paediatric critical care data. Also included within this release, is supplementary analysis that has been produced in addition to the Retrospective Review of Surgery for Urogynaecological Prolapse and Stress Urinary Incontinence using Tape or Mesh: Hospital Episode Statistics (HES), Experimental Statistics, April 2008 - March 2017. It contains a count of Finished Consultant Episodes (FCEs) where a procedure for urogynaecological prolapse or stress urinary incontinence using tape or mesh has been recorded during the April 2019 to March 2020 period.

This statistical report presents a range of information on alcohol use and misuse by adults and children drawn together from a variety of sources for England unless otherwise stated. More information can be found in the source publications which contain a wider range of data and analyses. Newly published data includes: Alcohol-related hospital admissions published by PHE in their Local Alcohol Profiles for England (LAPE) which uses data from NHS Digital’s Hospital Episode Statistics (HES). New analyses of data on affordability of alcohol using already published ONS data. The latest information from already published sources includes: Alcohol-specific deaths published by ONS. Information on the volume and cost of alcohol related prescriptions from NHS Digital. Adult drinking behaviours from the Health Survey for England (HSE). Child drinking behaviours from the Smoking, Drinking and Drug Use Survey (SDD). Road casualties involving illegal alcohol levels published by Department for Transport. Expenditure on alcohol from the Family Food report from the Living Costs and Food Survey (LCFS).

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

All data in this dataset has a UK Open Government Licence (OGL). OGL

Introduction

Organ donation and transplantation represent a critical component of modern healthcare, offering a second chance at life for patients suffering from end-stage organ failure. The practice of organ donation encompasses a wide range of benefits, not only for the recipients but also for the donors and society as a whole. This dataset, governed by the UK Open Government Licence (OGL), provides comprehensive insights into organ donation and transplantation activities in the UK. It highlights trends, benefits, and challenges associated with these life-saving procedures. The detailed statistics and visualisations offer a clear picture of how organ donation impacts healthcare outcomes, economic productivity, and societal health.

Organ donation and transplantation

Benefits for Recipients

• Life-Saving: Organ transplants can save lives. For patients with end-stage organ failure, transplantation can be the only option to survive.
• Improved Quality of Life: Recipients often experience a significant improvement in their quality of life. They can return to normal activities, work, and enjoy time with family and friends.
• Extended Lifespan: Transplants can significantly extend the lifespan of recipients. For example, a kidney transplant can add years to a patient's life compared to dialysis.
• Reduced Healthcare Costs: Although the initial costs of organ transplantation are high, long-term costs are often lower compared to ongoing treatments for organ failure, such as dialysis for kidney failure.

Benefits for Donors

• Living Donor Gratification: Living donors often feel a profound sense of satisfaction and fulfilment knowing they have saved a life.
• Legacy and Impact: Deceased donors leave a lasting legacy, giving others a chance at life and positively impacting many families.
• Altruism and Community Health: Donating organs can foster a sense of community and altruism, inspiring others to consider donation and promoting public health awareness.

Societal Benefits

• Reduced Burden on Healthcare System: Successful transplants reduce the long-term need for medical care, hospitalisations, and ongoing treatments, easing the burden on healthcare systems.
• Economic Productivity: Transplant recipients often return to work and contribute economically, benefiting society at large.
• Advancements in Medical Research: Organ donation promotes medical research and advancements in transplantation techniques, immunosuppression, and organ preservation, leading to overall improvements in healthcare.
• Public Awareness and Education: Organ donation programs raise awareness about the importance of health and medical science, encouraging preventive care and healthy lifestyles.

Specific Organ Transplants

• Kidney Transplant: Most common type, improving the lives of those with chronic kidney disease or failure. Reduces the need for dialysis.
• Liver Transplant: Vital for patients with liver failure or severe liver diseases. It can dramatically improve the recipient’s prognosis and quality of life.
• Heart Transplant: For patients with severe heart failure or heart disease, a transplant can be life-saving and greatly enhance life quality.
• Lung Transplant: Beneficial for individuals with severe respiratory diseases, improving breathing and overall health.
• Pancreas and Intestine Transplants: These are less common but essential for certain patients with diabetes or intestinal failure, significantly improving health outcomes.

Summary

Organ donation and transplantation are crucial in modern medicine, offering life-saving and life-enhancing benefits to recipients, profound fulfilment for donors, and significant advantages for society as a whole. Encouraging organ donation through education, awareness campaigns, and support for donor families can help address organ shortages and save more lives.

Original Table

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The table provides detailed activity figures for organ donation and transplantation in the UK as of April 11, 2023. The table is divided into sections for organ donors and organ transplants, comparing the current year’s data (April 1, 2022, to March 31, 2023) with the previous year (April 1, 2021, to March 31, 2022) and pre-COVID year (April 1, 2019, to March 31, 2020). Here’s a breakdown:

Organ Donors

• Donors after brain death (DBD): Slight decrease from the previous year and a more significant decrease compared to the pre-COVID year.
• **Donors after circulato...

The Health Survey for England (HSE) monitors trends in the nation’s health and care. It provides information about adults aged 16 and over, and children aged 0 to 15, living in private households in England. The survey consists of an interview, followed by a visit from a nurse who takes some measurements and blood and saliva samples. Interviews for children aged 0 to 12 were carried out with a parent; children aged 13 to 15 were interviewed directly. Children aged 8 to 15 filled in a self-completion booklet about their drinking and smoking behaviour and young adults, aged between 16 and 17 completed these questions directly into a computer. A total of 8,205 adults (aged 16 and over) and 2,095 children (aged 0 to 15) were interviewed in the 2019 survey. 4,947 adults and 1,169 children had a nurse visit. Each survey in the series includes core questions, and measurements such as blood pressure, height and weight measurements and analysis of blood and saliva samples. In addition, there are modules of questions on specific topics that vary from year to year. The Main Findings follow this page via the link at the bottom. Detailed reports and a link to the supporting Excel tables can be found further down this page and include: • Overweight and obesity in adults and children • Eating Disorders • Adults' health-related behaviours (includes smoking and alcohol consumption) • Children’s health (includes smoking and alcohol consumption) • Providing care to family and friends • Adults' health (includes diabetes, hypertension, and high cholesterol) • Use of health care services