In 2022, HC-One was the largest care home operator in England with a market share of *** percent. This was closely followed by Barchester with a market share of *** percent, while Care UK had a *** percent share of the English care home market.

In 2022, roughly 56 thousand care homes were in operation in just seven European countries. That year, with 13.5 thousand care homes, Germany operated more homes than any other European country. England had the second-highest number of care homes, with 10.8 thousand homes in 2022.

In 2022, residential care in the United Kingdom was most expensive in the South East, Scotland, and London with weekly fees of over *** British pounds. Care homes vary in the type of services they offer to elderly people. Residential care homes, for instance, are suitable for adults who are mostly independent but could use some assistance in day to day living such as dressing, washing, doing laundry or taking medicine. Nursing homes, on the other hand, offer 24-hour medical supervision. An ageing population increases the importance of retirement living properties and services that suit the needs of residents.

Our care homes database contains residential and nursing care homes, and includes valid care home email addresses by size and region.

From 2018 to 2021, Care UK Nursing & Residential Care Services opened the most care home in the United Kingdom. During this period, this operator opened ** new care homes. The care home operator which opened the second most homes in the UK was Barchester, with **** openings.

Provisional counts of deaths in care homes caused by coronavirus (COVID-19) by local authority. Published by the Office for National Statistics and Care Quality Commission.

In 2019, HC-One Ltd was the largest care home operator in the United Kingdom (UK), with a bed stock of over ******. Four Seasons Health Care (FSHC) and Barchester Healthcare completed the top three with ****** and ****** beds respectively.

COVID-19 causes significant mortality in elderly and vulnerable people and spreads easily in care homes where one in seven individuals aged > 85 years live. However, there is no surveillance for infection in care homes, nor are there systems (or research studies) monitoring the impact of the pandemic on individuals or systems. Usual practices are disrupted during the pandemic, and care home staff are taking on new and unfamiliar roles, such as advanced care planning. Understanding the nature of these changes is critical to mitigate the impact of COVID-19 on residents, relatives and staff. 20 care homes staff members were interviewed using semi-structured interviews.

The COVID-19 pandemic poses a substantial risk to elderly and vulnerable care home residents and COVID-19 can spread rapidly in care homes. We have national, daily data on people with COVID-19 and deaths, but there is no similar data for care homes. This makes it difficult to know the scale of the problem, and plan how to keep care home residents safe. We also want to understand the impact of COVID-19 on care home staff and residents. Researchers from University College London (UCL) will measure the number of cases of COVID-19 in care homes, using data from Four Seasons Healthcare, a large care home chain. FSHC remove residents' names and addresses before sending the dataset to UCL, protecting resident's confidentiality. Since we cannot visit care homes during the pandemic, we will hold virtual (online) discussion meetings with care home stakeholders (staff, residents, relatives, General Practice teams) every 6-8 weeks, to learn rapid lessons about managing COVID-19 in care homes and identify pragmatic solutions. Our findings will be shared with FHSC, GPs and Public Health England, patients and the public, and support the national response to COVID-19. Patients and the public will be involved in all stages of the research.

In 2022, there were a total of over ** thousand care homes across the United Kingdom. In the UK, roughly ** percent of care homes are residential care homes with nursing homes accounted for ***** in ten care homes.

From 2018 to 2021, Care UK Nursing & Residential Care Services opened the most care home beds in the United Kingdom. During this period, this operator opened ***** new beds within its care homes. The care home operator which opened the second most beds in the UK was Barchester, with *** openings.

Nearly 340,000 older people in England live in residential or nursing care homes. Older people living in care homes often have complex health problems which make them more likely to need hospital care in hospital if their health suddenly deteriorates. People living in care homes account for 185,000 emergency admissions to hospital each year and spend over 1.46 million days in hospital beds. Improving care for older patients living in care homes will directly benefit patients while reducing the demand for hospital beds and reduce the risk of hospital overcrowding.

A significant proportion of hospital admissions from care homes are unnecessary and could be avoided if their needs were addressed differently. The hospital environment and can be distressing for some older people living in care homes and the burden of transferring patients from their home to hospital can be significant. These factors have driven a search for alternative ways of providing better care.

This highly granular dataset of 128,000 admissions from care home provides a unique opportunity to understand reasons, pathways and outcomes from acute presentations to hospital.

PIONEER geography: The West Midlands (WM) has a population of 5.9 million & includes a diverse ethnic & socio-economic mix.

Electronic Heath Record. UHB is one of the largest NHS Trusts in England, providing direct acute services & specialist care across four hospital sites, with 2.2 million patient episodes per year, 2750 beds & an expanded 250 ITU bed capacity during COVID. UHB runs a fully electronic healthcare record (EHR) (PICS; Birmingham Systems), a shared primary & secondary care record (Your Care Connected) & a patient portal “My Health”.

Scope: Acute care episodes amongst patients aged over 65 from care homes. Longitudinal & individually linked, so that the preceding & subsequent health journey can be mapped & healthcare utilisation prior to & after admission understood. The dataset includes highly granular patient demographics, co-morbidities taken from ICD-10 & SNOMED-CT codes. Serial, structured data pertaining to process of care (timings, admissions, wards), presenting complaint, physiology readings (heart rate, BMI, blood pressure, respiratory rate, NEWS2 score, oxygen saturations and clinical frailty scale), Charlson comorbidity index, Lab analysis results(e.g. urea, albumin, platelets, white blood cells) microbiology results, procedures, outpatients admissions, oxygen delivery methods, drug administered and all outcomes. Linked images available (radiographs, CT scans, MRI).

Available supplementary data: Matched controls; ambulance, OMOP data, synthetic data.

Available supplementary support: Analytics, Model build, validation & refinement; A.I.; Data partner support for ETL (extract, transform & load) process, Clinical expertise, Patient & end-user access, Purchaser access, Regulatory requirements, Data-driven trials, “fast screen” services.

In 2022, the care home market in the seven leading European markets surpassed 115 billion euros. That year, with a market of 35.8 billion euros, Germany had by far the biggest care home market. France and the United Kingdom followed with care home markets of 26 and 22 billion euros, respectively.

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Senior Living Market Size 2025-2029

The senior living market size is forecast to increase by USD 130.9 billion, at a CAGR of 5.8% between 2024 and 2029.

Major Market Trends & Insights

North America dominated the market and accounted for a 44% growth during the forecast period.
By the Service - Assisted living segment was valued at USD 158.20 billion in 2023
By the Services - Healthcare Services segment accounted for the largest market revenue share in 2023

Market Size & Forecast

Market Opportunities: USD 66.60 billion
Market Future Opportunities: USD 130.90 billion 
CAGR : 5.8%
North America: Largest market in 2023

Market Summary

The market is experiencing significant shifts as the global population ages, with the 60+ demographic projected to reach 1.4 billion by 2030. This demographic trend drives the demand for innovative solutions in long-term care, assisted living, and home health services. Technological advances are transforming senior care, with telehealth, mobile apps, and wearable devices enabling remote monitoring and improved care coordination. However, the sector faces challenges such as staffing shortages and workplace demands, with the US projected to have a shortage of 1.2 million healthcare workers by 2030.
Despite these challenges, the market's continuous evolution offers opportunities for growth, particularly in areas like technology integration, personalized care, and community-based services. The market's future lies in addressing the unique needs of an aging population while overcoming workforce challenges.

What will be the Size of the Senior Living Market during the forecast period?

Explore market size, adoption trends, and growth potential for senior living market Request Free Sample

The market represents a significant and continually evolving sector within the broader healthcare industry. According to recent data, this market experiences a steady growth of approximately 2.5% annually. Furthermore, future projections indicate a continuous expansion, with a projected increase of around 3% per annum. Comparing key numerical data, the senior population aged 65 and above is projected to double by 2050, while the number of senior living facilities is anticipated to grow by nearly 30% between 2020 and 2030. This growth trend is driven by demographic shifts and increasing demand for specialized care and services catering to the elderly population.
In addition, the market encompasses a diverse range of offerings, including assisted living, memory care, and independent living communities. The demand for these services varies, with assisted living experiencing a higher growth rate compared to independent living. This disparity can be attributed to the increasing prevalence of age-related diseases and the need for additional care and support. Despite the growth, challenges remain, including regulatory compliance, risk management, and financial planning. Addressing these challenges requires a multifaceted approach, incorporating elements such as quality assurance, caregiver support, and community engagement. Ultimately, the market represents a dynamic and evolving landscape, presenting both opportunities and challenges for businesses and stakeholders alike.

How is this Senior Living Industry segmented?

The senior living 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.

Service

  Assisted living
  Independent living
  CCRC


Services

  Healthcare Services
  Lifestyle and Wellness Programs
  Dining Services


Technology Integration

  Smart Home Systems
  Health Monitoring Devices
  Safety and Security Systems


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    Italy
    UK


  APAC

    China
    India
    Japan


  South America

    Brazil


  Rest of World (ROW)

By Service Insights

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

The market encompasses a range of services and arrangements designed to cater to the unique needs of aging adults. One significant segment within this market is assisted living, which provides apartment-style dwellings for seniors who require assistance with activities of daily living (ADL), such as bathing, laundry, and medication management. This segment may include specialized memory care units for individuals with cognitive impairments, such as Alzheimer's disease or dementia. These units often feature increased security measures, like extra surveillance equipment and locked doors, due to safety concerns. The number of companies entering this segment is growing, contributing to its expanding presence and potential growth during the forecast period.

Another ess

The Integrated Care Systems Housing Profile (ICS Housing Profile) is a resource that aims to support people working in ICSs and ICBs to understand, and work jointly with partners to mitigate and tackle the key housing-related issues that drive poor health in London. The ICS Housing Profile presents key housing data for London at sub-regional ICS geography and borough level. The data is presented across the three narrative themes of housing quality, security, and affordability. Whilst those working in ICSs and ICBs will be aware of the broad impacts of housing on health, we hope this resource will help colleagues to better understand the specific housing issues that are driving health inequalities and healthcare usage, in the area they’re working in. ​ For those looking to delve deeper into the data, the accompanying workbooks can be used to find more information on housing trends over time, different geographical breakdowns and alternative metrics. Development of the resource This resource has been produced collaboratively by the Greater London Authority Group Public Health Unit and the City Intelligence Unit. The data included in this report is the most recent available at the time the report was written. The resource is provided in PDF and PowerPoint format to support colleagues in their work. There is no current plan for periodic updates of this resource. The resource includes: ICS Housing Profile (in PDF or PowerPoint format) Housing Profile Data Summary (workbook 1) – this includes more data to explore beyond the figures set out in the profile Housing Profile Figures (workbook 2) – this includes data behind the figures only Other useful resources: The Housing and Health page provides intelligence and context on the housing and health inequalities in London. The Cost of Poor Housing page estimates the annual cost to the NHS of homes in poor condition in London.

Background: Agitation is a common, challenging symptom affecting large numbers of people with dementia and impacting on quality of life (QoL). There is an urgent need for evidence-based, cost-effective psychosocial interventions to improve these outcomes, particularly in the absence of safe, effective pharmacological therapies. This study aimed evaluate the efficacy of a person-centered care and psychosocial intervention (WHELD) on QoL, agitation and antipsychotic use in people with dementia living in nursing homes, and to determine its cost. Methods and Findings: This was a randomized controlled cluster trial conducted between 1st January 2013 and 30th September 2015 which compared the WHELD intervention with treatment as usual in people with dementia living in 69 UK nursing homes, using an intention to treat analysis. All nursing homes allocated to the intervention received staff training in person-centered care (PCC), social interaction (SoI) and education regarding antipsychotic medications (AM) followed by ongoing delivery through a care staff champion model. Primary outcome measure was QoL (DEMQOL-proxy). Secondary outcomes were agitation (Cohen Mansfield Agitation Inventory), neuropsychiatric symptoms (NPI), antipsychotic use, global deterioration (CDR), mood (Cornell Scale for Depression in Dementia CSSD), unmet needs (Camberwell Assessment of Need in the Elderly CANE), mortality, quality of interactions (Quality of Interactions Scale –QUIS), pain (Abbey) and cost. Costs were calculated using cost function figures compared with usual costs. 847 people were randomized to WHELD or treatment as usual, of whom 553 completed the nine-month RCT. The intervention conferred a statistically significant improvement in QoL (DEMQOL proxy z score 2.82, p=0.0042, Mean Difference 2.54 SEM 0.88, 95% Confidence Intervals (CI) 0.81, 4.28, Cohen’s D Effect Size 0.24). There were also statistically significant benefits in agitation (CMAI Z score 2.68 p=0.0076, Mean Difference 4.27 SEM 1.59, 95% CI -7.39, -1.15, Cohen’s D 0.23) and overall neuropsychiatric symptoms (Z score 3.52 Mean Difference 4.55 SEM 1.28 p=0.00045, 95% CI -7.07,-2.02, Effect Size 0.30). Benefits were greatest in people with moderate-moderately severe dementia. There was a statistically significant benefit in positive care interactions as measured by QUIS (19.7% increase, SEM 8.94, 95% CI 2.12, 37.16, Cohen’s D 0.55, P=0.03). There were no statistically significant differences between WHELD and treatment as usual for the other outcomes. A sensitivity analysis using a pre-specified imputation model confirmed statistically significant benefits in DEMQOL proxy, CMAI and NPI with the WHELD intervention. Antipsychotic drug prescribing was at a low stable level in both treatment groups and the intervention did not reduce use. The WHELD intervention reduced cost compared to treatment as usual, and the benefits achieved were therefore associated with a cost saving. The main limitation was that antipsychotic review was based on augmenting processes within care homes to trigger medical review and did not in this study involve proactive primary care education. An additional limitation was the inherent challenge of assessing QoL in this patient group. Conclusions: These findings suggest that the WHELD intervention confers benefits to QoL, agitation and neuropsychiatric symptoms, albeit with relatively small effect sizes, as well as cost saving in a model that can readily be implemented into nursing homes. Future work should consider how to facilitate sustainability of the intervention in these settings. Trial registration: ISRCTN Registry ISRCTN62237498

Revenue in the Domiciliary Care industry is anticipated to climb at a compound annual rate of 6.8% over the five years through 2025-26 to £6.7 billion. Requests for care have gone up, supported by an ageing population and the rising prevalence of disabilities among the adult population. As demand grows, the government is investing more in the industry – for example, in 2025-26, the government added £880 million to the Social Care Grant. This will help domiciliary care providers raise wages to retain staff and improve the quality of care. Parallel to this, high demand is seeing more Britons switch to private providers, which generate higher revenue per patient than their public counterparts, further raising revenue and lifting profitability. Revenue is slated to swell by 1.2% in 2025-26. The COVID-19 pandemic significantly reduced revenue, as lockdown measures limited the ability of care workers to visit clients. Since then, care services have contended with strained public expenditure while demand for care services has increased. Recruiting and retaining an adequate workforce is one of the most significant challenges facing domiciliary care providers, particularly in the face of rising wages. Severe staffing shortages have resulted in a plethora of government assistance measures, like £570 million being allocated between 2023-24 and 2024-25 to support a workforce fund to boost pay and capacity for adult social care in the UK. Revenue is expected to grow at a compound annual rate of 5.2% over the five years through 2030-31 to £8.7 billion. The industry will face workforce challenges and funding concerns as uncertainty lingers over the government's plans for social care. Nonetheless, opportunities for growth remain. An ageing population with greater household disposable income and the growing prevalence of disabilities among the adult working population will support demand for domiciliary care. Demand will rise in both the public and private sector as more Britons opt for at-home care over residential care homes, driving revenue growth.

Personal assistants (PAs) have become an increasingly important element of long-term care (LTC) in England since the introduction of Direct Payments in 1996 and the Care Act 2014 legislation. The PAs, who are directly employed by social care users, can perform a number of support tasks including vital assistance in activities of daily living (ADL). Internationally these roles would be classed as domestic care work, including the employment of migrant care workers, e.g. in Germany and Austria. High turnover rates and work absenteeism in this market can cause disruption of these important daily activities, causing LTC users to potentially suffer neglect and poorer quality of life. Although there is research on turnover and absenteeism in nursing workforce in hospitals and LTC workers in nursing homes, little attention has been given to reasons for turnover of PAs and even less for absenteeism, which often precedes turnover, in a workforce of over 100,000 people in England. This research aims to fill this gap in knowledge by analyzing the reasons behind the absenteeism of PAs using quantitative methods. We used survey data of PAs in England, exploring the factors associated to one form of absenteeism—sick leave from work. After controlling for a number of factors ranging from job characteristics such as number of hours worked and type of contract, socio-economic characteristics from the PA and their employer, and supply and demand factors at local government region, the findings suggest a number of factors that significantly influenced sick leave, including distances traveled to work and number of PAs employed. Following the analysis, two people with life experience of LTC discuss the findings of the study and how they compare to their experiences of the market for PAs, providing a unique perspective from the people who could benefit the most from improving PA retention and reducing absenteeism.

This data set contains annual data and the most recent quarterly data on house building starts. From 2011/12 imputed data is included. Imputed data should not be seen as an estimate for the individual authority but is given on an authority basis to allow custom totals to be constructed.

House building data are collected at local authority district level, but it is important to treat figures at this level with care. House building is unevenly distributed both geographically and over time and patterns of housing development can produce clusters of new homes which make the figures at a low geographic level volatile and difficult to interpret.

For detailed definitions of all tenures, see definitions of housing terms on Housing Statistics

The district level and county figures are as reported by local authorities and the NHBC. Where a local authority has not submitted a quarterly return to DCLG, no figure has been presented for this local authority (and when relevant its county) for any 12-month period that includes the missing quarter.

England total figures include estimates for missing data returns from independent Approved Inspectors and Local Authorities, so the sum of district values may be slightly less than the England totals.

House building starts - A dwelling is counted as started on the date work begins on the laying of the foundation, including 'slabbing' for houses that require it, but not including site preparation. Thus when foundation work commences on a pair of semi-detached houses two houses are counted as started, and when work begins on a block of flats all the dwellings in that block are counted as started. The starts of houses in building schemes are usually phased over a period of weeks or even, in very large schemes, months.

Tenure – For the purposes of these statistics, the term tenure refers to the nature of the organisation responsible for the development of a new housing start or completion. It does not necessarily describe the terms of occupancy for the dwelling on completion. For example, some housing associations develop homes for sale on the open market. Such homes would be reported in the Housing Association tenure of these statistics, but would ultimately most likely be owned and occupied in the private sector.

Housing association - “Housing associations (HAs)” is used as the generic name for all social landlords not covered by local authorities (see below). In previous editions HAs were referred to as Registered Social Landlords (RSL), and the technical term (private) Registered Provider (pRP) of social housing is also sometimes used. The more all-encompassing description of ‘housing associations’ is now seen as more helpful to users of these statistics.

These data were derived from live table 253a (quarterly figures).