The number of one-person households in Germany has been increasing in the last decade, while the opposite was true for three-person homes. In 2024, around ** million German households had one occupant, while roughly **** million households had three people living in them. Aging population These trends may be rooted in various reasons, such as population developments, aging, urbanization, individual lifestyles, flexible living arrangements. When looking at the growing number of one-person households, depending on the age group, this increase may be due to being single, for example, as well as an older person living alone. The ************* of the German population was aged 40 to 59 years, followed by those aged 65 and older. In terms of housing situations, **** were renting. Residential building construction in Germany struggled somewhat in recent years. Decreasing household member numbers It is not just in Germany that households are decreasing in size. A similar trend has been seen in the United States. Household size is often very dependent on the financial status of individuals. Those with more money will often opt to live alone, whilst those on a lower income may have no choice but to have roommates or to continue living with their family.

The fertility rate of a country is the average number of children that women from that country will have throughout their reproductive years. In Germany in 1800, the average woman of childbearing age would have 5.4 children over the course of their lifetime. It remained around this number until the late 1820s, when it then dropped to just under five, which was a long-term effect of the Napoleonic Period in Europe. From this point until the end of the nineteenth century, Germany's fertility rate was rather sporadic, reaching it's lowest point in 1855 with an average of 4.6 births per woman, and it's highest point in 1875 (just after the foundation of the German Empire in 1871), with an average of 5.4 live births per woman. From the beginning of the twentieth century until the end of the Second World War, Germany's fertility rate dropped from around 5 children per woman in 1900, to 1.9 in 1945. The only time where the fertility rate increased was in the inter-war years. Like other countries heavily involved in the Second World War, Germany (both East and West) experienced a Baby Boom from the late 1940s to the late 1960s, however it then dropped to it's lowest point of just 1.3 children per woman by 1995, shortly after the re-unification of Germany. In recent years, Germany's fertility rate has gradually been increasing again, and is expected to reach 1.6 in 2020, its highest rate in over forty years.

About this dataset

Context

The dataset presents median household incomes for various household sizes in German, New York, as reported by the U.S. Census Bureau. The dataset highlights the variation in median household income with the size of the family unit, offering valuable insights into economic trends and disparities within different household sizes, aiding in data analysis and decision-making.

Key observations

• Of the 7 household sizes (1 person to 7-or-more person households) reported by the census bureau, German town did not include 6, or 7-person households. Across the different household sizes in German town the mean income is $86,082, and the standard deviation is $45,207. The coefficient of variation (CV) is 52.52%. This high CV indicates high relative variability, suggesting that the incomes vary significantly across different sizes of households.
• In the most recent year, 2021, The smallest household size for which the bureau reported a median household income was 1-person households, with an income of $12,774. It then further increased to $117,009 for 5-person households, the largest household size for which the bureau reported a median household income.

https://i.neilsberg.com/ch/german-ny-median-household-income-by-household-size.jpeg" alt="German, New York median household income, by household size (in 2022 inflation-adjusted dollars)">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Household Sizes:

• 1-person households
• 2-person households
• 3-person households
• 4-person households
• 5-person households
• 6-person households
• 7-or-more-person households

Variables / Data Columns

• Household Size: This column showcases 7 household sizes ranging from 1-person households to 7-or-more-person households (As mentioned above).
• Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific household size.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for German town median household income. You can refer the same here

In 2024, Slovakia had the highest average household size among EU member states, at 3.1 people per household. By contrast, Finland had the lowest average household size, at 1.9 people per household.

About this dataset

Context

The dataset tabulates the median household income in German township. It can be utilized to understand the trend in median household income and to analyze the income distribution in German township by household type, size, and across various income brackets.

Content

The dataset will have the following datasets when applicable

Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).

• German Township, Pennsylvania Median Household Income Trends (2010-2021, in 2022 inflation-adjusted dollars)
• Median Household Income Variation by Family Size in German Township, Pennsylvania: Comparative analysis across 7 household sizes
• Income Distribution by Quintile: Mean Household Income in German Township, Pennsylvania
• German Township, Pennsylvania households by income brackets: family, non-family, and total, in 2022 inflation-adjusted dollars

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Interested in deeper insights and visual analysis?

Explore our comprehensive data analysis and visual representations for a deeper understanding of German township median household income. You can refer the same here

In 2024, there were ******* German households with a household net income of under 500 euros per month. ***** households had a monthly income of 5,000 euros and more. Disposable net income While at first glance the aforementioned monthly income may seem manageable, based on general German standards of living, it is worth noting that flexibility and expenditure depends on the number of people living in a household, or rather the number of earners in relation to that number. In the case of employed population members, what remains as disposable net income is influenced by various regular payments made by households after the already taxed salary arrives. These payments include, but are not limited to, rent, different types of insurance, repaying loans, fees for internet and mobile phone services. Food and housing When looking at private household spending in Germany, consistent patterns emerge. Housing, water, electricity, gas and other fuel made up the largest share and will increase even further in the coming months, followed by food, beverages, and tobacco.

About this dataset

Context

The dataset presents median household incomes for various household sizes in German Township, Pennsylvania, as reported by the U.S. Census Bureau. The dataset highlights the variation in median household income with the size of the family unit, offering valuable insights into economic trends and disparities within different household sizes, aiding in data analysis and decision-making.

Key observations

• Of the 7 household sizes (1 person to 7-or-more person households) reported by the census bureau, German township did not include 4, 5, or 7-person households. Across the different household sizes in German township the mean income is $83,459, and the standard deviation is $44,684. The coefficient of variation (CV) is 53.54%. This high CV indicates high relative variability, suggesting that the incomes vary significantly across different sizes of households.
• In the most recent year, 2023, The smallest household size for which the bureau reported a median household income was 1-person households, with an income of $25,700. It then further increased to $130,644 for 6-person households, the largest household size for which the bureau reported a median household income.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Household Sizes:

• 1-person households
• 2-person households
• 3-person households
• 4-person households
• 5-person households
• 6-person households
• 7-or-more-person households

Variables / Data Columns

• Household Size: This column showcases 7 household sizes ranging from 1-person households to 7-or-more-person households (As mentioned above).
• Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific household size.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for German township median household income. You can refer the same here

The median age of Germans in 2025 was 45.5 years, meaning that half the German population was younger, half older. Following some fluctuation during the post-WWII baby boom waves, Germany's average age has been on an upwards trajectory since the 1970s, with a sharp rise in the 1990s and 2000s, although it has slowed in recent years. It is projected to peak at over 48 years in the 2040s, before plateauing around the 47 year mark for the remainder of the century. Aging in Germany This shift in the age makeup of Germany is driven by having fewer young people and more old people. While it has increased slightly in the last decade, the German fertility rate remains low. Fewer young people lead to a higher median age, as does rising life expectancy. These trends have significant economic and societal impacts, where workforces shrink and the elderly population places greater demand on healthcare systems and public finances, while families must increasingly care for elderly relatives. Regional and global trends The entire European Union, due to higher levels of development, shows an upward shift in its age distribution. While this shift is occurring globally, the level of Germany’s median age is particularly high. In many other parts of the world, particularly Subsaharan Africa, the proportion of young and old inhabitants is skewed sharply toward the young, pulling the median age lower.

The cooperative banks have been facing increasing challenges for the past five years. Although the sector's turnover, which is made up of interest and commission income, has recorded average growth of 4.1% per year since 2020, this growth is highly sensitive to the economy and interest rates. In 2022, the sector benefited in particular from the renewed rise in interest rates, which were raised by the ECB to combat inflation after years of zero or low interest rates. The earnings situation improved significantly as banks were able to push through higher lending rates due to the increase in the base rate. The long phase of extremely low interest rates since 2016 had put banks' margins under severe pressure and made smaller institutions particularly vulnerable, as refinancing costs and credit risks were difficult to control. Although the rise in interest rates led to higher interest income in the short term, it also created new challenges. The volatility of lending rates increased the risk of non-performing loans and made the adjustment of pricing and product strategies a key task for smaller institutions.In the current year, the sector is not expected to succeed in further increasing commission income from the home loan and savings business or interest income from overdraft facilities and variable-rate loans. The weak economic situation is dampening demand for home loans, while the rising cost of living is leading to increased utilisation of overdraft facilities. However, their interest income cannot compensate for the deficit. Overall, sector turnover is expected to fall by 0.6% to 37.3 billion euros compared to the previous year. The persistently weak business and consumer climate is an additional burden on banks. At the same time, the over-indebtedness ratio is likely to stagnate or rise slightly, increasing the risk of non-performing loans. For cooperative banks, this means that they will have to manage their risk positions and loan portfolios particularly carefully in order to safeguard their liquidity and profitability. Strategies that focus on targeted credit checks, adjustments to the loan portfolio and increased digital advisory services will be crucial. This is the only way to maintain competitiveness and ensure the long-term stability of institutions.IBISWorld expects the cooperative banks' interest and commission income to fall by an average of 0.6% per year over the next five years and thus amount to 36.2 billion euros in 2030. As the banking market in Germany, which is highly fragmented by international standards, is saturated, significant changes are to be expected in the coming years. It can be assumed that banks will increasingly merge in order to increase their competitiveness, meaning that the previous consolidation of the sector is likely to accelerate. In addition, digitalisation will continue to gain in importance and the successful introduction of innovative and modern products as well as the expansion of sales channels will be decisive for a company's success.

Germany Residential Gateway Market size was valued at USD 413.33 Million in 2024 and is projected to reach USD 734.62 Million by 2032, growing at a CAGR of 9.88% from 2026 to 2032.Key Market Drivers:Increasing broadband penetration: The expanding broadband penetration drives the market growth. In 2023, Germany's broadband connections totaled 37.7 million, with 92% home penetration. The German Residential Gateway Market is expected to reach USD 1.8 billion by 2023, rising at a 7.2% annual rate as fiber optic connectivity expands to 27.2% of households, necessitating upgraded gateways.Increasing Smart Home Adoption: The rising smart home devices is driving the demand for residential gateways. Germany's smart home market is expected to reach USD 10.1 billion by 2024. Approximately 43% of German households utilize at least one smart home application, resulting in increasing gateway demand. The average connected household owns 6.2 smart devices, which raises gateway specification needs.

The social and economic situation of foreign employees in the Federal Republic. Topics: nationality of respondent; ethnic affiliation among respondents from former Yugoslavia; place of birth in Germany or abroad; duration of stay in Germany up to now; estimated period of time that will be spent in Germany; visit to one's native country since moving to Germany; visit to one's native country in the previous year; greatest concerns and problems in Germany; interest in German as well as dual citizenship; relinquishing previous citizenship for the sake of a German passport; perceived attitude of Germans to guest workers at work; satisfaction with current job; most sympathetic party in Germany; party preference (Sunday question); average monthly expenditures for food and everyday necessities; preferred shopping places for food and everyday necessities as well as consumer items; responsibility of respondent for housekeeping. Demography: marital status; size of household; number of working members of household; number of under 18-year-olds in household; further family members in Germany outside of personal household; family members in native country; type of employment; job title; income; age; residential status; amount of rent; rent increase for base rent or additional costs in the last year; satisfaction with residence or accomodation; number of school years completed; school degree in Germany or native country; type of school degree; self-assessment of knowledge of German (reading); completed vocational training as well as length of vocational training; car possession; car brand; new or used car; number of kilometers driven annually; net household income. Interviewer rating: presence of third persons during interview as well as influence by third parties; evaluation of communication; willingness of respondent to cooperate; knowledge of German and one's own language. Also encoded was: state; city size.

Over the past five years, the German legal advice sector has increasingly developed in the direction of specialisation. More and more lawyers are acquiring specialist lawyer titles, which are perceived as a sign of quality and facilitate access to clients. Labour law and family law remain the leading specialist areas in terms of numbers. While areas such as family, social and banking law are becoming less important, public procurement, migration and international commercial law are experiencing strong growth, which emphasises the sector's ability to adapt to changing client needs. At the same time, case law confirms the traditional structures of the market. With the judgement of the European Court of Justice on the prohibition of third-party ownership, the independence of lawyers remains secure, even if this restricts the investment opportunities of medium-sized law firms in an international comparison. Overall, the legal advice sector has recorded an average annual decline in turnover of 0.6% over the last five years.In 2025, IBISWorld expects total sales of around 33.9 billion euros, which corresponds to growth of 0.7% compared to the previous year. Several reforms are shaping market conditions in the current year. The significant increase in statutory fees is making legal advice more expensive for clients and increasing the demand for transparent cost structures. At the same time, digitalisation is making progress. The introduction of electronic deeds simplifies processes in the notary's office and avoids media disruptions, leading to noticeable efficiency gains. In addition, the new responsibilities of the courts are changing the mandate profile, as simple disputes are increasingly being handled by citizens themselves, while legal expertise is in greater demand for more complex proceedings. Over the next five years, turnover in the sector is expected to increase by 3% per year.BISWorld expects total turnover of around 39.2 billion euros in 2030. The legal advice sector in Germany is undergoing change. AI platforms such as AnwaltGPT, JustitAI and Libra automate routine tasks, increase efficiency and enable hybrid workflows. The decline in new training contracts is exacerbating staff shortages among paralegals and putting a strain on law firms. At the same time, the need for advice in the area of AI and data protection law is growing due to the EU AI Act and in environmental and biotechnology law as a result of regulatory and technological dynamics. Law firms are creating specialised teams, networking with research and business and developing into digital process integrators that increasingly offer process control, digital interfaces and technological expertise in addition to traditional legal advice.

The lack of a recent summarizing description of population density in Germany that contains detailed information of pre-industrial times motivated the author of this study to undertake an analysis of population history of Northern Germany between 1740 and 1840. The goal of the study is to analyze the development of population regarding different aspects of population history and historical demographics. The author tries to connect geographic data with family data and then he relates it with economic, political and cultural development. The main part of the study ‘population dynamics’ gives an overview over demographic developments in a century characterized by demographic changes. Insights in the general changes in population size, the phases of Northern German population development and in relevant components for increases in population (e.g. decrease in mortality) are given. Finally the population determinants are developed, first in a concrete regional historic context of some areas (Marsch, nordwestliches Binnenland, Münsterland, Ostwestfalen, Ostelbien) and then more general external factors are included in the analysis. The generative structure of pre-industrial population, the industrial development, seasonal work and colonization are covered. There is an extra chapter on the development of urban population which includes the factors: urbanization, decrease in mortality, first signs of birth controls and migration. These regional considerations are opposed to an investigation of the general framework of demographical changes. In this context also grain prices and prevention from smallpox are taken into account.

Systematic of the data:

Sub-regions: 1. Holstein 2. The Hanseatic cities 3. Mecklenburg and Wester Pomerania
4. Prussia’s middle provinces
5. Core area of Lower Saxony 6. Weser-Ems-Area 7. Westphalia

Topics: 1. Births (excl. still births) 2. Deaths (incl. still births) 3. Still births 4. Marriages 5. Illegitimate births
6. Infant and child mortality 7. Population status

Mortality tables: A. Holstein (Propsteien) 1775/98, 1801/05 B. East Friesland 1775/98, 1835/39 C. County of Mark und märkische Kreise 1775/98, 1820/34 D. Kurmark 1775/98, 1835/39

Register of data tables: - Probability of death decennially in the German Reich 1881/90 - Handed down census results from Braunschweig-Lüneburg - Advances is historical tables of Westphalia
- Migration balances of Prussian government districts 1816-1840 - Population and households in Hamburg 1764-1824 - Population in Northern Germany and Germany - Approximated values for net migration 1751-1840 - Age specific decline in mortality 1775/98-1835/39 - Decline in child mortality - Fertility and marriage behavior by family reconstruction - Proportion of singles by department s and arrodissements 1811 - Average age at birth ca. 1740-ca.1840 - Regression analysis on deaths (excl. children) – marriages - Regional differences in population increases - Population density and mortality 1780-1799 - Population balances of Marschgebiete und der Fehmarn Island - Population balances of North Western Germany (without Küstenmarsch) - Budget structures of the parish Vreden 1749 - Population balances of areas with high industry densities - Budget structures of County of Mark 1798 - Budget structures in Minden-Ravensburg and Tecklenburg 1798 - Natality, mortality and cottage industry in Ravensberg 1788-1798 - North Western German areas with low birth rates
- Colonists resident in Prussia 1740-1786 - Social structure of rural population 1750 – 1790/98 - Social structure of rural population in Halberstädter - Urban population (legal definition of city) - Mortality due to tuberculosis in rural and urban areas - Average mortality rates in large cities
- Infant mortality and decline in mortality in Berlin S - Rural and urban migration balances 1741/1778-1840 - Birth rates - Cumulative elasticity of population movement - Average marriage rates in Hannover in comparison - Mortality due to smallpox - Share of infant and child mortality due to smallpox -Magnitude of the decrease in child mortality - Reduction of infant mortality - Regional differences in the decline in infant mortality

The data can be requested via order form or by personal request via email or telephone. PDF-form and contact data: http://www.gesis.org/dienstleistungen/daten/daten-historische-sozialf/querschnittsdaten/

About this dataset

Context

The dataset presents median household incomes for various household sizes in North Germany Township, Minnesota, as reported by the U.S. Census Bureau. The dataset highlights the variation in median household income with the size of the family unit, offering valuable insights into economic trends and disparities within different household sizes, aiding in data analysis and decision-making.

Key observations

• Of the 7 household sizes (1 person to 7-or-more person households) reported by the census bureau, North Germany township did not include 5, 6, or 7-person households. Across the different household sizes in North Germany township the mean income is $76,051, and the standard deviation is $35,084. The coefficient of variation (CV) is 46.13%. This high CV indicates high relative variability, suggesting that the incomes vary significantly across different sizes of households.
• In the most recent year, 2021, The smallest household size for which the bureau reported a median household income was 1-person households, with an income of $54,721. It then further increased to $124,756 for 4-person households, the largest household size for which the bureau reported a median household income.

https://i.neilsberg.com/ch/north-germany-township-mn-median-household-income-by-household-size.jpeg" alt="North Germany Township, Minnesota median household income, by household size (in 2022 inflation-adjusted dollars)">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Household Sizes:

• 1-person households
• 2-person households
• 3-person households
• 4-person households
• 5-person households
• 6-person households
• 7-or-more-person households

Variables / Data Columns

• Household Size: This column showcases 7 household sizes ranging from 1-person households to 7-or-more-person households (As mentioned above).
• Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific household size.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for North Germany township median household income. You can refer the same here

Housing and residential status. Residential area and social structure. Mobility and economic situation. Employment. Election decision and participation.

Topics: 1. Housing and housing status: size of the place of residence (degree of urbanisation); location; duration of residence; satisfaction with the place of residence; length of residence in the apartment; number of moves in the last ten years; previous place of residence; residential status of the previous apartment; living space of the previous apartment; reasons for moving; main reason for moving; residential status of the current apartment; one or more households in the house; monthly contribution costs; type of purchase of house/flat; construction of the house/flat by public subsidies; amount of monthly mortgage repayment and interest; amount of monthly ancillary costs; amount of heating costs in the last calendar year; amount of maintenance costs in the last calendar year; monthly burden subsidy received from the state; housing entitlement certificate required; owner of the flat; rent amount; rent including costs for heating and hot water; amount of lump sum for heating and hot water (or. for heating and hot water separately); average costs for heating and hot water and payment period; rent includes modernisation charge; amount of modernisation charge in total or per sqm; type of modernisation measures for which a modernisation charge is paid; adequacy of rental costs; receipt of housing benefit; amount of monthly housing charge; living space; number of rooms; assessment of apartment size; apartment furnishing; apartment equipment meets needs; preferred living standard; year of construction of the house; assessment of the structural condition of the house; satisfaction with the apartment.

1. Residential area and social structure: satisfaction with the immediate residential environment; satisfaction with the environmental conditions at the place of residence; walking distance to selected facilities (e.g. public transport stops, shopping facilities, doctors, kindergarten, primary school, etc.); social structure: social differences in the immediate living environment; relationship with neighbours; satisfaction with the neighbourhood; development of personal living situation; greatest loss after possible relocation (local connection); preferred home; preferred residential area; foreigners in the residential environment; proportion of foreigners in the residential area compared to other residential areas; foreigners who have been living in the residential area or have recently moved in; newly arrived foreigners are predominantly ethnic Germans, refugees or have been living in Germany for some time; relationship between foreigners and Germans in the residential environment; attitude towards the spatial separation of Germans and foreigners; personal contacts with foreigners or Germans in the family, at work, in the neighbourhood or among friends and acquaintances; assessment of assistance for foreigners (simple entry aids, more extensive integration measures or renouncement of such assistance).

2. Mobility: intention to move; reasons for moving; most important reason for moving; preference for moving (target area); plans for the current apartment within the next two years or changes already carried out in the last two years (new furnish, renovate, modernise, add-on or conversion); classification on a ladder best form of living / worst imaginable apartment (own apartment, in comparison own apartment 5 years ago, best accessible apartment, justly entitled apartment, average apartment of friends and acquaintances, apartment of an average German citizen); assessment of the current personal economic situation.

3. Employment: employment status; job security; length of working distance; longest accepted working distance in minutes; willingness to commute.

4. Election decision and participation: eligibility to vote in the last federal election; participation in the last federal election and election decision (second vote); party preference (Sunday question) or party most likely to be considered.

Demography: sex; age (month of birth and year of birth); highest school leaving certificate or targeted school leaving certificate; age at school leaving certificate; vocational education or training certificate; current or former employment; full-time or part-time employment; current or last professional position; current or last professional activity; marital status; cohab...

Residents in private households in the Federal Republic of Germany born before 1 January 1996.

Snapshot img

4K TV Market Size 2024-2028

The 4K TV market size is estimated to grow by USD 318.5 billion at a CAGR of 25.2% between 2023 and 2028. The market's growth is influenced by several factors, including the increasing preference for large-display televisions as well as smart TV, ongoing product innovation driving portfolio expansion and premium product offerings, and the rising significance of online sales channels. These factors collectively contribute to the market's expansion, with consumers showing a strong inclination towards larger screen sizes for enhanced viewing experiences. Additionally, continuous advancements in technology and product features lead to a wider range of options for consumers, including premium offerings such as Ultra HD TVs that cater to specific needs and preferences. The growing prominence of online sales channels further boosts market growth by providing convenient access to a broader customer base. As these trends continue, the market for large-display televisions is poised for significant expansion.

What will be the size of the 4K TV Market During the Forecast Period?

To learn more about this 4K TV market report, View Report Sample

4K TV Market Segmentation

The 4K TV market research report provides comprehensive data (region wise segment analysis), with forecasts and estimates in 'USD Billion' for the period 2024 to 2028, as well as historical data from 2018 to 2022 for the following segments.

Type Outlook

  52-65 inches type
  Below 52 inches type
  Above 65 inches type





Application Outlook 

  Residential
  Commercial
  Industrial





Region Outlook 

  North America

    The U.S.
    Canada





  Europe

    The U.K.
    Germany
    France
    Rest of Europe





  APAC

    China
    India


   South America 

    China
    India


  Middle East & Africa

    Saudi Arabia
    South Africa
    Rest of the Middle East & Africa

By Type

The market share growth by the 52-65 inches type segment will be significant during the forecast period. The adoption of 4K TVs of this size will be influenced by the rise in disposable income in developing nations during the forecast period. Consumer spending has increased as a result of the rise in disposable income, which has also increased demand for consumer electronics like 4K TVs.

Get a glance at the market contribution of various segments. View the PDF Sample

The 52-65 inches type segment was valued at USD 40 billion in 2018. Smart 4K TVs are one of the most popular products in middle-class markets such as India. The ownership and viewing habits of India's expanding TV universe have been influenced by the country's growing number of nuclear families. The average size of a TV in nuclear families across the nation has increased to 52-65 inches as a result of these developments. Moreover, the demand for 52-65 inches 4K TVs will grow rapidly in developing nations due to rising disposable income and the evolution of average-sized TV sets during the forecast period.

By Region

For more insights on the market share of various regions, Download PDF Sample now!

APAC is estimated to contribute 42% to the growth of the global market during the forecast period. Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

APAC is anticipated to become a high-potential market for 4K TVs during the forecast period. The major market contributors in the region are nations like India, China, Japan, and South Korea. The adoption of 4K TVs in APAC is anticipated to increase due to the presence of strong companies, rising 4K TV demand in these nations, and expanding use of smart classrooms. Hence, such factors are driving the market in APAC during the forecast period.

4K TV Market Dynamics

The market is witnessing significant growth driven by the demand for television sets offering Ultra High Definition (UHD) with screen sizes ranging from less than 55 inches to 62 inches. Consumers seek high-performance 4K TV for deep blacks, vibrant colours, and rapid response times. These TVs, equipped with advanced graphics engines and graphic processors, deliver high-quality images and support digital media and digital content. The 4K TV market also includes Super UHD (SUHD) TVs, providing superior viewing experiences. The proliferation of high-speed internet further enhances the market, enabling seamless streaming of high-quality data for unparalleled visual experiences on HD devices. A holistic analysis of drivers will help companies refine their marketing strategies to gain a competitive advantage. In the growing 4K TV market, consumers are seeking compatibility with a wide range of devices, including blu-ray players, cameras, and projectors. Screen size options, like the popular 62 inches, offer enhanced visuals, while monitors, laptops, and tablets integrate seamlessly, providing ver

The meat processing industry is characterised by fluctuating raw material prices, high price pressure and a saturated domestic market. The consumption of meat has decreased over the past few years, which is partly due to demographic change, the increasing number of vegetarians and vegans and the population's increased health awareness. In addition, the industry finds itself in a sandwich position between the dominant slaughterhouses and the supermarket sector, which has led to a drop in profitability in the industry in recent years. From 2020 to 2025, the sector recorded an average annual decline in turnover of 2%. In the current year, industry turnover is expected to amount to €25.9 billion, which corresponds to growth of 0.4% compared to the previous year.In addition to the coronavirus pandemic, the war in Ukraine has also had a negative economic impact on the industry since the beginning of 2022. Together with the reciprocal sanctions between the European Union and the Russian Federation, the war has led to rising energy costs and an increase in the price of agricultural commodities. The increase in net monthly household income is likely to have a positive impact on the industry, which should also increase demand for high-quality meat. However, the potential outbreak of African swine fever poses a constant threat to the industry.Intense competition will continue in the coming years. Due to fluctuating commodity prices and the increasing market concentration of the supermarket sector, the integration of slaughtering and preparation as well as the sales market will be at the centre of corporate policy. The export business is also likely to play a greater role in view of the saturated domestic demand. It remains to be seen how African swine fever will develop and to what extent further outbreaks will have a negative impact on industry sales. For the period from 2025 to 2030, IBISWorld expects turnover growth of 0.9% per year on average and industry turnover of €27.1 billion in 2030, which is attributable to increased foreign demand.

Revenue development in the sports club sector has been subject to some fluctuations over the past five years. Growth impetus came from the positive development of turnover in professional football. In 2020, however, a significant decline in industry turnover and profits was recorded in the wake of the coronavirus crisis. However, sales subsequently increased again, resulting in average annual sales growth of 5.1% for the period from 2020 to 2025. For the current year, IBISWorld expects sales growth of 1% to €6.8 billion. However, the slight reduction in the total number of sports clubs over the last five years has had an inhibiting effect on the industry, which could not be avoided despite the population's increased awareness of sport and health. The staging of professional sports competitions and amateur sports have returned to normal following the restrictions imposed by the coronavirus pandemic. Overall, 2025 will have a predominantly positive impact on the industry. Both increasing sports and health awareness are likely to help sports clubs to attract more members again, although fitness centres and self-organised sports will continue to pose strong competition. Professional clubs generate an important part of their revenue from ticket sales or other matchday income. Both the increase in net monthly household income and consumer spending on leisure activities, culture and entertainment are likely to have a positive impact on this. For the period from 2025 to 2030, IBISWorld expects average annual industry growth of 3.1%. This means that turnover is expected to reach 7.9 billion euros in 2030. The continued positive development of professionally managed sports clubs in particular is likely to ensure growth. Increasing professionalisation is also contributing to sales growth and an increase in the number of companies. Nevertheless, IBISWorld anticipates that the number of sports clubs will continue to decline overall until 2030. Small clubs in rural regions are likely to be the most affected by the closures.

The funeral industry comprises undertakers, crematoria and cemeteries. Although the services provided by the industry players can differ greatly from one another, the demand for all services in the industry is dependent on the number of deaths. The decreasing importance of religion as well as the increasing mobility of relatives and the desire for individuality after death are the main drivers of new trends in the funeral industry. The increasing demand for cremations and alternative types of burial has different consequences for the various types of industry participants; turnover in the funeral sector has grown by an average of 2.1% per year since 2019. In 2020, the coronavirus crisis contributed to an increase in the number of deaths, which was reflected in the industry's revenue growth. In the current year, IBISWorld expects turnover to grow by 1.5% to 2.4 billion euros. An increasing number of deaths has a positive effect on demand for the services of the funeral industry, as industry participants offer their services on the occasion of deaths. The level of financial expenditure on funerals, on the other hand, is primarily dependent on the development of household income. With a higher income, consumers have more financial resources available to spend on their own funeral or the burial of relatives. Although net household income has risen steadily over the last five years, demand for cremation burials in particular, which are a significantly cheaper alternative to traditional burials, has increased. In addition to trends such as cremation and natural burial, other factors influencing demand for the industry's services are the level of healthcare expenditure and the age structure of the population, both of which have tended to increase in recent years. In the period from 2024 to 2029, turnover in the funeral industry is expected to grow by an average of 0.9% per year and reach 2.5 billion euros in 2029. Industry turnover and the number of industry players are likely to remain stable, as there is no alternative to the industry's services and the number of deaths is expected to stagnate in the future as well.