The Global Inflation Devices market was valued at USD 608.42 million in 2022 and will reach USD 892.08 million by 2030, registering a CAGR of 4.9% for the forecast period 2023-2030. Rising demand for minimally invasive procedures: The term "minimally invasive surgery" refers to surgical procedures that minimize the size of incisions required, speeding up wound healing and lowering pain and infection risks. The basic goals of minimally invasive surgery are to reduce bodily harm, reduce post-surgical discomfort, and promote speedy recovery. It is associated with a shorter hospital stay, less discomfort, and very few problems. Minimally invasive procedures can be used for both therapy and diagnostics. Demand for the tools needed to properly complete a minimally invasive surgery is expected to increase as more patients turn to these types of operations. Due to the important role that inflation devices play in minimally invasive cardiac operations, the market is expected to rise in popularity in the future.

Rising growth in the geriatric population: According to WHO 1 in 6 individuals on the globe will be 60 or older by 2030. By this point, there will be 1.4 billion people over the age of 60, up from 1 billion in 2020. The number of individuals in the world who are 60 or older will double (to 2.1 billion) by 2050. Between 2020 and 2050, the number of people 80 or older is projected to treble, reaching 426 million. Aging plays a significant role in the occurrence of urological and cardiovascular disorders. As a result, the need for management tools like angioplasty to treat such conditions grows along with the aging population. As a result, the market will develop due to the rising prevalence of cardiovascular diseases and the aging population, which will raise the need for disease management strategies.

Restraining factors: High cost and complications associated with the interventional cardiology procedure: The cost of surgical procedures for patients increases due to the high cost of surgical devices and the significant investment needed for installation. This has caused customers to switch to secondhand systems, which negatively affects their bottom lines. Complex surgeries require advanced techniques and skills, and the cost of equipment and surgeries increases due to the maintenance and power supply requirements, which limits inflation device adoption. Radiation damage, myocardial infarction, and hematoma are a few of the complications associated with using interventional cardiology instruments. Coronary perforations and embolism device issues such as coronary implant loss, notably coronary stent dislodgement, lost scaffold, guidewire loss, and balloon fracture limit the use of interventional cardiology devices. All these factors hamper the market growth of inflation devices.

Impact of COVID- 19 pandemic on the inflation devices market: The need for medical equipment has changed because of COVID-19. While the devices used to treat COVID-19 patients in critical care experienced an increase in demand, other devices suffered as a result of delayed or canceled treatments. Few people who have COVID-19 infection, however, have an elevated risk of cardiovascular disease. Therefore, angioplasty should be performed to treat cardiovascular disorders such as coronary artery disease, which requires inflating devices. As a result, the market is anticipated to have a favorable effect in the years after COVID-19.

An inflating device is used to inflate angioplasty devices that need to be dilated. It has a luminous analog pressure gauge, an incredibly comfortable grip, and braided high-pressure tubing with a rotating male luer fitting. The market for inflation devices is expanding because of several factors, including rising growth in the geriatric population, rising cardiovascular and urological disease prevalence, rising demand for minimally invasive procedures, and increased medical reimbursement for such procedures in developed regions.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, for 2020, the 2020 Census provides the official counts of the population and housing units for the nation, states, counties, cities, and towns. For 2016 to 2019, the Population Estimates Program provides estimates of the population for the nation, states, counties, cities, and towns and intercensal housing unit estimates for the nation, states, and counties..Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the Technical Documentation section.Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Source: U.S. Census Bureau, 2016-2020 American Community Survey 5-Year Estimates.Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation). The effect of nonsampling error is not represented in these tables..Between 2018 and 2019 the American Community Survey retirement income question changed. These changes resulted in an increase in both the number of households reporting retirement income and higher aggregate retirement income at the national level. For more information see Changes to the Retirement Income Question ..The categories for relationship to householder were revised in 2019. For more information see Revisions to the Relationship to Household item..The 2016-2020 American Community Survey (ACS) data generally reflect the September 2018 Office of Management and Budget (OMB) delineations of metropolitan and micropolitan statistical areas. In certain instances, the names, codes, and boundaries of the principal cities shown in ACS tables may differ from the OMB delineation lists due to differences in the effective dates of the geographic entities..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Explanation of Symbols:- The estimate could not be computed because there were an insufficient number of sample observations. For a ratio of medians estimate, one or both of the median estimates falls in the lowest interval or highest interval of an open-ended distribution.N The estimate or margin of error cannot be displayed because there were an insufficient number of sample cases in the selected geographic area. (X) The estimate or margin of error is not applicable or not available.median- The median falls in the lowest interval of an open-ended distribution (for example "2,500-")median+ The median falls in the highest interval of an open-ended distribution (for example "250,000+").** The margin of error could not be computed because there were an insufficient number of sample observations.*** The margin of error could not be computed because the median falls in the lowest interval or highest interval of an open-ended distribution.***** A margin of error is not appropriate because the corresponding estimate is controlled to an independent population or housing estimate. Effectively, the corresponding estimate has no sampling error and the margin of error may be treated as zero.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's Population Estimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units for states and counties..Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the Technical Documentation section.Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Source: U.S. Census Bureau, 2017-2021 American Community Survey 5-Year Estimates.Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation). The effect of nonsampling error is not represented in these tables..Between 2018 and 2019 the American Community Survey retirement income question changed. These changes resulted in an increase in both the number of households reporting retirement income and higher aggregate retirement income at the national level. For more information see Changes to the Retirement Income Question ..The categories for relationship to householder were revised in 2019. For more information see Revisions to the Relationship to Household item..The 2017-2021 American Community Survey (ACS) data generally reflect the March 2020 Office of Management and Budget (OMB) delineations of metropolitan and micropolitan statistical areas. In certain instances, the names, codes, and boundaries of the principal cities shown in ACS tables may differ from the OMB delineation lists due to differences in the effective dates of the geographic entities..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Explanation of Symbols:- The estimate could not be computed because there were an insufficient number of sample observations. For a ratio of medians estimate, one or both of the median estimates falls in the lowest interval or highest interval of an open-ended distribution. For a 5-year median estimate, the margin of error associated with a median was larger than the median itself.N The estimate or margin of error cannot be displayed because there were an insufficient number of sample cases in the selected geographic area. (X) The estimate or margin of error is not applicable or not available.median- The median falls in the lowest interval of an open-ended distribution (for example "2,500-")median+ The median falls in the highest interval of an open-ended distribution (for example "250,000+").** The margin of error could not be computed because there were an insufficient number of sample observations.*** The margin of error could not be computed because the median falls in the lowest interval or highest interval of an open-ended distribution.***** A margin of error is not appropriate because the corresponding estimate is controlled to an independent population or housing estimate. Effectively, the corresponding estimate has no sampling error and the margin of error may be treated as zero.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, the decennial census is the official source of population totals for April 1st of each decennial year. In between censuses, the Census Bureau's Population Estimates Program produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units for states and counties..Information about the American Community Survey (ACS) can be found on the ACS website. Supporting documentation including code lists, subject definitions, data accuracy, and statistical testing, and a full list of ACS tables and table shells (without estimates) can be found on the Technical Documentation section of the ACS website.Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Source: U.S. Census Bureau, 2018-2022 American Community Survey 5-Year Estimates.Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation). The effect of nonsampling error is not represented in these tables..Between 2018 and 2019 the American Community Survey retirement income question changed. These changes resulted in an increase in both the number of households reporting retirement income and higher aggregate retirement income at the national level. For more information see Changes to the Retirement Income Question ..The categories for relationship to householder were revised in 2019. For more information see Revisions to the Relationship to Household item..The 2018-2022 American Community Survey (ACS) data generally reflect the March 2020 Office of Management and Budget (OMB) delineations of metropolitan and micropolitan statistical areas. In certain instances, the names, codes, and boundaries of the principal cities shown in ACS tables may differ from the OMB delineation lists due to differences in the effective dates of the geographic entities..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on 2020 Census data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Explanation of Symbols:- The estimate could not be computed because there were an insufficient number of sample observations. For a ratio of medians estimate, one or both of the median estimates falls in the lowest interval or highest interval of an open-ended distribution. For a 5-year median estimate, the margin of error associated with a median was larger than the median itself.N The estimate or margin of error cannot be displayed because there were an insufficient number of sample cases in the selected geographic area. (X) The estimate or margin of error is not applicable or not available.median- The median falls in the lowest interval of an open-ended distribution (for example "2,500-")median+ The median falls in the highest interval of an open-ended distribution (for example "250,000+").** The margin of error could not be computed because there were an insufficient number of sample observations.*** The margin of error could not be computed because the median falls in the lowest interval or highest interval of an open-ended distribution.***** A margin of error is not appropriate because the corresponding estimate is controlled to an independent population or housing estimate. Effectively, the corresponding estimate has no sampling error and the margin of error may be treated as zero.

In 2019, the household savings rates in these selected developed countries ranged from *** percent of disposable income in Finland to **** percent in Switzerland. In 2020, the coronavirus (COVID-19) outbreak and lockdowns implemented by governments led to an increase in the savings rate worldwide, due to reduced consumption expenditure. Why do people save? Savings behavior differs from country, as shown in this statistic. In the United States, most people save for unexpected expenses or retirement. In countries such as Finland, the savings rate may be lower because retirees can rely on generous pension funds. Other reasons that households save include vacation, educational expenses, and home purchase. Factors that affect saving High inflation leads to lower household savings. The projected increase in prices means that people would rather buy immediately, because saving and buying later means paying a higher price. As such, countries with an inflation rate are less likely to have a high savings rate. Other factors include a cultural disposition towards saving mechanisms, such as the emphasis on home ownership seen in the United States.

In 2023, Malaysian employees between the ages of 40 and 44 years old earned the highest average monthly salary, at ***** Malaysian ringgit. With a retirement age of just 60 years old, Malaysian workers could look forward to earning more monthly average wage starting from around 40 years old. Economic outlook Malaysia is one of the biggest and strongest economies of South-East Asia, with a relatively low unemployment rate. The average monthly salary steadily increased from ***** Malaysian ringgit in 2014 to ***** Malaysian ringgit in 2023. Employees with a university degree could expect to earn almost twice as much. Can wages keep up with the cost of living? However, when seen in the context of rising living costs, wages in Malaysia have not been able to keep up. Despite having a relatively low inflation rate, prices have still gone up. Malaysians spent more than ** percent of their income on housing and food. In May 2022, the Malaysian government increased the minimum wage to 1,500 Malaysian ringgit monthly, or 7.21 Malaysian ringgit hourly, in the hopes of easing the financial burdens of its citizens.