The total fertility rate of the world has dropped from around 5 children per woman in 1950, to 2.2 children per woman in 2025, which means that women today are having fewer than half the number of children that women did 75 years ago. Replacement level fertility This change has come as a result of the global demographic transition, and is influenced by factors such as the significant reduction in infant and child mortality, reduced number of child marriages, increased educational and vocational opportunities for women, and the increased efficacy and availability of contraception. While this change has become synonymous with societal progress, it does have wide-reaching demographic impact - if the global average falls below replacement level (roughly 2.1 children per woman), as is expected to happen in the 2050s, then this will lead to long-term population decline on a global scale. Regional variations When broken down by continent, Africa is the only region with a fertility rate above the global average, and, alongside Oceania, it is the only region with a fertility rate above replacement level. Until the 1980s, the average woman in Africa could expect to have 6-7 children over the course of their lifetime, and there are still several countries in Africa where women can still expect to have 5 or more children in 2025. Historically, Europe has had the lowest fertility rates in the world over the past century, falling below replacement level in 1975. Europe's population has grown through a combination of migration and increasing life expectancy, however even high immigration rates could not prevent its population from going into decline in 2021.

Over the past 30 years, the birth rate in the United States has been steadily declining, and in 2023, there were 10.7 births per 1,000 of the population. In 1990, this figure stood at 16.7 births per 1,000 of the population. Demographics have an impact The average birth rate in the U.S. may be falling, but when broken down along ethnic and economic lines, a different picture is painted: Native Hawaiian and other Pacific Islander women saw the highest birth rate in 2022 among all ethnicities, and Asian women and white women both saw the lowest birth rate. Additionally, the higher the family income, the lower the birth rate; families making between 15,000 and 24,999 U.S. dollars annually had the highest birth rate of any income bracket in the States. Life expectancy at birth In addition to the declining birth rate in the U.S., the total life expectancy at birth has also reached its lowest value recently. Studies have shown that the life expectancy of both men and women in the United States has been declining over the last few years. Declines in life expectancy, like declines in birth rates, may indicate that there are social and economic factors negatively influencing the overall population health and well-being of the country.

The graph illustrates the number of babies born in the United States from 1995 to 2025. The x-axis represents the years, labeled from '95 to '25, while the y-axis shows the annual number of births. Over this 30-year period, birth numbers peaked at 4,316,233 in 2007 and reached a low of 3,596,017 in 2023. The data reveals relatively stable birth rates from 1995 to 2010, with slight fluctuations, followed by a gradual decline starting around 2017. The information is presented in a line graph format, effectively highlighting the long-term downward trend in U.S. birth numbers over the specified timeframe.

The statistic shows the 20 countries with the lowest fertility rates in 2024. All figures are estimates. In 2024, the fertility rate in Taiwan was estimated to be at 1.11 children per woman, making it the lowest fertility rate worldwide. Fertility rate The fertility rate is the average number of children born per woman of child-bearing age in a country. Usually, a woman aged between 15 and 45 is considered to be in her child-bearing years. The fertility rate of a country provides an insight into its economic state, as well as the level of health and education of its population. Developing countries usually have a higher fertility rate due to lack of access to birth control and contraception, and to women usually foregoing a higher education, or even any education at all, in favor of taking care of housework. Many families in poorer countries also need their children to help provide for the family by starting to work early and/or as caretakers for their parents in old age. In developed countries, fertility rates and birth rates are usually much lower, as birth control is easier to obtain and women often choose a career before becoming a mother. Additionally, if the number of women of child-bearing age declines, so does the fertility rate of a country. As can be seen above, countries like Hong Kong are a good example for women leaving the patriarchal structures and focusing on their own career instead of becoming a mother at a young age, causing a decline of the country’s fertility rate. A look at the fertility rate per woman worldwide by income group also shows that women with a low income tend to have more children than those with a high income. The United States are neither among the countries with the lowest, nor among those with the highest fertility rate, by the way. At 2.08 children per woman, the fertility rate in the US has been continuously slightly below the global average of about 2.4 children per woman over the last decade.

The fertility rate of a country is the average number of children that women from that country will have throughout their reproductive years. In the United States in 1800, the average woman of childbearing age would have seven children over the course of their lifetime. As factors such as technology, hygiene, medicine and education improved, women were having fewer children than before, reaching just two children per woman in 1940. This changed quite dramatically in the aftermath of the Second World War, rising sharply to over 3.5 children per woman in 1960 (children born between 1946 and 1964 are nowadays known as the 'Baby Boomer' generation, and they make up roughly twenty percent of todays US population). Due to the end of the baby boom and increased access to contraception, fertility reached it's lowest point in the US in 1980, where it was just 1.77. It did however rise to over two children per woman between 1995 and 2010, although it is expected to drop again by 2020, to just 1.78.

Fertility Rate, Total for the United States was 1.61650 Births per Woman in January of 2023, according to the United States Federal Reserve. Historically, Fertility Rate, Total for the United States reached a record high of 3.65400 in January of 1960 and a record low of 1.61650 in January of 2023. Trading Economics provides the current actual value, an historical data chart and related indicators for Fertility Rate, Total for the United States - last updated from the United States Federal Reserve on December of 2025.

Crude Birth Rate for the United States was 10.70000 Births per 1,000 People in January of 2023, according to the United States Federal Reserve. Historically, Crude Birth Rate for the United States reached a record high of 23.70000 in January of 1960 and a record low of 10.70000 in January of 2023. Trading Economics provides the current actual value, an historical data chart and related indicators for Crude Birth Rate for the United States - last updated from the United States Federal Reserve on December of 2025.

In 2023, there were five countries, where the average woman of childbearing age can expect to have over six children throughout their lifetime. In fact, of the 20 countries in the world with the highest fertility rates, Afghanistan and Yemen are the only countries not found in Sub-Saharan Africa. High fertility rates in Africa With a fertility rate of 6.13 and 6.12 children per woman, Somalia and Chad were the countries with the highest fertility rate in the world. Population growth in Chad is among the highest in the world. Lack of healthcare access, as well as food instability, political instability, and climate change, are all exacerbating conditions that keep Chad's infant mortality rates high, which is generally the driver behind high fertility rates. This situation is common across much of the continent, and, although there has been considerable progress in recent decades, development in Sub-Saharan Africa is not moving as quickly as it did in other regions. Demographic transition While these countries have the highest fertility rates in the world, their rates are all on a generally downward trajectory due to a phenomenon known as the demographic transition. The third stage (of five) of this transition sees birth rates drop in response to decreased infant and child mortality, as families no longer feel the need to compensate for lost children. Eventually, fertility rates fall below replacement level (approximately 2.1 children per woman), which eventually leads to natural population decline once life expectancy plateaus. In some of the most developed countries today, low fertility rates are creating severe econoic and societal challenges as workforces are shrinking while aging populations are placin a greater burden on both public and personal resources.

This dataset contains counts of live births for California counties based on information entered on birth certificates. Final counts are derived from static data and include out of state births to California residents, whereas provisional counts are derived from incomplete and dynamic data. Provisional counts are based on the records available when the data was retrieved and may not represent all births that occurred during the time period.

The final data tables include both births that occurred in California regardless of the place of residence (by occurrence) and births to California residents (by residence), whereas the provisional data table only includes births that occurred in California regardless of the place of residence (by occurrence). The data are reported as totals, as well as stratified by parent giving birth's age, parent giving birth's race-ethnicity, and birth place type. See temporal coverage for more information on which strata are available for which years.

United States - Crude Birth Rate for Low Income Countries was 34.33420 Births per 1,000 People in January of 2023, according to the United States Federal Reserve. Historically, United States - Crude Birth Rate for Low Income Countries reached a record high of 47.81158 in January of 1957 and a record low of 34.33420 in January of 2023. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Crude Birth Rate for Low Income Countries - last updated from the United States Federal Reserve on November of 2025.

United States - Fertility Rate, Total for Low Income Countries was 4.53057 Births per Woman in January of 2023, according to the United States Federal Reserve. Historically, United States - Fertility Rate, Total for Low Income Countries reached a record high of 6.74676 in January of 1972 and a record low of 4.53057 in January of 2023. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Fertility Rate, Total for Low Income Countries - last updated from the United States Federal Reserve on October of 2025.

United States - Crude Birth Rate for Least Developed Countries was 31.37155 Births per 1,000 People in January of 2023, according to the United States Federal Reserve. Historically, United States - Crude Birth Rate for Least Developed Countries reached a record high of 48.27396 in January of 1951 and a record low of 31.08081 in January of 2019. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Crude Birth Rate for Least Developed Countries - last updated from the United States Federal Reserve on November of 2025.

United States - Adolescent Fertility Rate for Low Income Countries was 91.90142 Births per 1,000 Women Ages 15-19 in January of 2023, according to the United States Federal Reserve. Historically, United States - Adolescent Fertility Rate for Low Income Countries reached a record high of 142.87886 in January of 1969 and a record low of 91.90142 in January of 2023. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Adolescent Fertility Rate for Low Income Countries - last updated from the United States Federal Reserve on November of 2025.

In the past four centuries, the population of the Thirteen Colonies and United States of America has grown from a recorded 350 people around the Jamestown colony in Virginia in 1610, to an estimated 346 million in 2025. While the fertility rate has now dropped well below replacement level, and the population is on track to go into a natural decline in the 2040s, projected high net immigration rates mean the population will continue growing well into the next century, crossing the 400 million mark in the 2070s. Indigenous population Early population figures for the Thirteen Colonies and United States come with certain caveats. Official records excluded the indigenous population, and they generally remained excluded until the late 1800s. In 1500, in the first decade of European colonization of the Americas, the native population living within the modern U.S. borders was believed to be around 1.9 million people. The spread of Old World diseases, such as smallpox, measles, and influenza, to biologically defenseless populations in the New World then wreaked havoc across the continent, often wiping out large portions of the population in areas that had not yet made contact with Europeans. By the time of Jamestown's founding in 1607, it is believed the native population within current U.S. borders had dropped by almost 60 percent. As the U.S. expanded, indigenous populations were largely still excluded from population figures as they were driven westward, however taxpaying Natives were included in the census from 1870 to 1890, before all were included thereafter. It should be noted that estimates for indigenous populations in the Americas vary significantly by source and time period. Migration and expansion fuels population growth The arrival of European settlers and African slaves was the key driver of population growth in North America in the 17th century. Settlers from Britain were the dominant group in the Thirteen Colonies, before settlers from elsewhere in Europe, particularly Germany and Ireland, made a large impact in the mid-19th century. By the end of the 19th century, improvements in transport technology and increasing economic opportunities saw migration to the United States increase further, particularly from southern and Eastern Europe, and in the first decade of the 1900s the number of migrants to the U.S. exceeded one million people in some years. It is also estimated that almost 400,000 African slaves were transported directly across the Atlantic to mainland North America between 1500 and 1866 (although the importation of slaves was abolished in 1808). Blacks made up a much larger share of the population before slavery's abolition. Twentieth and twenty-first century The U.S. population has grown steadily since 1900, reaching one hundred million in the 1910s, two hundred million in the 1960s, and three hundred million in 2007. Since WWII, the U.S. has established itself as the world's foremost superpower, with the world's largest economy, and most powerful military. This growth in prosperity has been accompanied by increases in living standards, particularly through medical advances, infrastructure improvements, clean water accessibility. These have all contributed to higher infant and child survival rates, as well as an increase in life expectancy (doubling from roughly 40 to 80 years in the past 150 years), which have also played a large part in population growth. As fertility rates decline and increases in life expectancy slows, migration remains the largest factor in population growth. Since the 1960s, Latin America has now become the most common origin for migrants in the U.S., while immigration rates from Asia have also increased significantly. It remains to be seen how immigration restrictions of the current administration affect long-term population projections for the United States.

In the past four centuries, the population of the Thirteen Colonies and United States of America has grown from a recorded 350 people around the Jamestown colony in Virginia in 1610, to an estimated 346 million in 2025. While the fertility rate has now dropped well below replacement level, and the population is on track to go into a natural decline in the 2040s, projected high net immigration rates mean the population will continue growing well into the next century, crossing the 400 million mark in the 2070s. Indigenous population Early population figures for the Thirteen Colonies and United States come with certain caveats. Official records excluded the indigenous population, and they generally remained excluded until the late 1800s. In 1500, in the first decade of European colonization of the Americas, the native population living within the modern U.S. borders was believed to be around 1.9 million people. The spread of Old World diseases, such as smallpox, measles, and influenza, to biologically defenseless populations in the New World then wreaked havoc across the continent, often wiping out large portions of the population in areas that had not yet made contact with Europeans. By the time of Jamestown's founding in 1607, it is believed the native population within current U.S. borders had dropped by almost 60 percent. As the U.S. expanded, indigenous populations were largely still excluded from population figures as they were driven westward, however taxpaying Natives were included in the census from 1870 to 1890, before all were included thereafter. It should be noted that estimates for indigenous populations in the Americas vary significantly by source and time period. Migration and expansion fuels population growth The arrival of European settlers and African slaves was the key driver of population growth in North America in the 17th century. Settlers from Britain were the dominant group in the Thirteen Colonies, before settlers from elsewhere in Europe, particularly Germany and Ireland, made a large impact in the mid-19th century. By the end of the 19th century, improvements in transport technology and increasing economic opportunities saw migration to the United States increase further, particularly from southern and Eastern Europe, and in the first decade of the 1900s the number of migrants to the U.S. exceeded one million people in some years. It is also estimated that almost 400,000 African slaves were transported directly across the Atlantic to mainland North America between 1500 and 1866 (although the importation of slaves was abolished in 1808). Blacks made up a much larger share of the population before slavery's abolition. Twentieth and twenty-first century The U.S. population has grown steadily since 1900, reaching one hundred million in the 1910s, two hundred million in the 1960s, and three hundred million in 2007. Since WWII, the U.S. has established itself as the world's foremost superpower, with the world's largest economy, and most powerful military. This growth in prosperity has been accompanied by increases in living standards, particularly through medical advances, infrastructure improvements, clean water accessibility. These have all contributed to higher infant and child survival rates, as well as an increase in life expectancy (doubling from roughly 40 to 80 years in the past 150 years), which have also played a large part in population growth. As fertility rates decline and increases in life expectancy slows, migration remains the largest factor in population growth. Since the 1960s, Latin America has now become the most common origin for migrants in the U.S., while immigration rates from Asia have also increased significantly. It remains to be seen how immigration restrictions of the current administration affect long-term population projections for the United States.

About this dataset

Context

The dataset tabulates the data for the State Center, IA population pyramid, which represents the State Center population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

Key observations

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for State Center, IA, is 38.1.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for State Center, IA, is 24.2.
• Total dependency ratio for State Center, IA is 62.3.
• Potential support ratio, which is the number of youth (working age population) per elderly, for State Center, IA is 4.1.

Content

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

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group for the State Center population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the State Center for the selected age group is shown in the following column.
• Population (Female): The female population in the State Center for the selected age group is shown in the following column.
• Total Population: The total population of the State Center for the selected age group is shown in the following column.

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 State Center Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the data for the State College, PA population pyramid, which represents the State College population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

Key observations

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for State College, PA, is 4.9.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for State College, PA, is 7.7.
• Total dependency ratio for State College, PA is 12.7.
• Potential support ratio, which is the number of youth (working age population) per elderly, for State College, PA is 13.0.

Content

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

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group for the State College population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the State College for the selected age group is shown in the following column.
• Population (Female): The female population in the State College for the selected age group is shown in the following column.
• Total Population: The total population of the State College for the selected age group is shown in the following column.

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 State College Population by Age. You can refer the same here

Niger had the highest birth rate in the world in 2024, with a birth rate of 46.6 births per 1,000 inhabitants. Angola, Benin, Mali, and Uganda followed. Except for Afghanistan, all 20 countries with the highest birth rates in the world were located in Sub-Saharan Africa. High infant mortality The reasons behind the high birth rates in many Sub-Saharan African countries are manyfold, but a major reason is that infant mortality remains high on the continent, despite decreasing steadily over the past decades, resulting in high birth rates to counter death rates. Moreover, many nations in Sub-Saharan Africa are highly reliant on small-scale farming, meaning that more hands are of importance. Additionally, polygamy is not uncommon in the region, and having many children is often seen as a symbol of status. Fastest-growing populations As the high fertility rates coincide with decreasing death rates, countries in Sub-Saharan Africa have the highest population growth rates in the world. As a result, Africa's population is forecast to increase from 1.4 billion in 2022 to over 3.9 billion by 2100.

About this dataset

Context

The dataset tabulates the data for the Arkansas population pyramid, which represents the Arkansas population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

Key observations

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Arkansas, is 30.2.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Arkansas, is 27.3.
• Total dependency ratio for Arkansas is 57.5.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Arkansas is 3.7.

Content

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

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group for the Arkansas population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Arkansas for the selected age group is shown in the following column.
• Population (Female): The female population in the Arkansas for the selected age group is shown in the following column.
• Total Population: The total population of the Arkansas for the selected age group is shown in the following column.

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 Arkansas Population by Age. You can refer the same here

According to Cognitive Market Research, the Global IVF Services Market Size was USD XX Billion in 2023 and is set to achieve a market size of USD XX Billion by the end of 2031 growing at a CAGR of XX% from 2024 to 2031.

The IVF Services market will expand significantly by XX% CAGR between 2024 and 2031.
The female infertility segment accounts for the largest market share and is anticipated to a healthy growth over the approaching years.
The product equipment segment accounts for the largest market share and is anticipated to a healthy growth over the approaching years.
The usage of Fresh Cycle IVF Services holds the largest market share compared to others.
Application of IVF Services in the Fertility Clinics segment is the market’s largest contributor and is anticipated to expand at a CAGR of XX% during the projected period.
The ICSI IVF procedure holds the largest market share compared to others.
Asia Pacific region dominated the market and accounted for the highest revenue of XX% in 2022 and it is projected that it will grow at a CAGR of XX% in the future.

Market Dynamics of the IVF Service Market

Key Drivers of the IVF Service Market

The rise in infertility cases is driving the market for IVF Services.

Infertility is a serious health issue worldwide, affecting almost 8 to 10% of couples globally. Nearly 60-80 million couples suffer from infertility every year globally. (Source: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6881900/)

Physical issues and lifestyle choices both can affect the ability to conceive. Age, physical health, and lifestyle choices, such as smoking and diet, can contribute to a person’s fertility irrespective of gender. Approximately one in eight couples are affected by infertility in the United States accounting for around 6.7 million people each year. Also, the natural fertility rate is only 20%. One of the main reasons behind this is that fertility begins to decline at about 35 years (Source: https://www.fertilityanswers.com/13-stats-know-infertility/#:~:text=Approximately%20one%20in%20eight%20couples,year%20who%20have%20trouble%20conceiving.)

The rising number of infertility cases is leading people to consult and opt for IVF services as it is considered the most effective type of fertility treatment.

The growth in the median age of first-time mothers is raising the demand for IVF services.

Delayed childbearing is currently a major challenge in reproductive medicine as increased age has an important impact on successful conception, both in natural and assisted reproduction. Women have increasingly postponed their first childbirth until later in life. This is because of many reasons like higher education, career opportunities, delaying marriage, and growing acceptance of unmarried women having children. As a result, the average age of first-time mothers has risen to 28 years whereas some wait even longer. Birth rates for women in their 30s are at an all-time high; however, studies state that with age, fertility in women declines, and this decline becomes more significant after 35 years of age and gives rise to risks of pregnancy complications.

Couples who struggle with infertility often shift to IVF as an assisted reproductive method. The IVF success rates under 35 are encouraging and offer hope to couples struggling with infertility because of late-age pregnancy. As more couples seek fertility treatments to conceive, this is in turn raising the demand for IVF services.

Key Restraints of the IVF Service Market

Health concerns related to IVF treatment can restrict the market growth. 

Fertility treatments are generally very safe; however, all medical procedures carry some chances of certain health problems. Sometimes, IVF can be draining for the body, mind, and finances and also can create complications from the procedure to retrieve eggs. Also, IVF raises the risk of having more than one baby, and becoming pregnant with multiple babies carries higher risks of pregnancy-related high blood pressure and diabetes, early labor and delivery, low birth weight, and birth defects compared to a single baby. In cases where more than one fetus develops, the health risks for both babies and the mother will increase.

The other side effects of IVF can include soreness or bruising from injections, nausea, breast tenderness, bloating, hot flashes, miscarriage, mood swings, fat...