U.S. Certificate Of Deposit Market size was valued at USD 2,852 Million in 2024 and is projected to reach USD 2,980 Million by 2032, growing at a CAGR of 0.3% from 2025 to 2032.U.S. Certificate Of Deposit Market OutlookThe U.S. Certificate of Deposit (CD) market has undergone significant transformation in response to changing economic conditions, regulatory shifts, and innovations in financial services. Historically, CDs have served as a foundational element for conservative investors, providing stability, security, and reliable returns. Over the years, the landscape of these financial instruments has changed from a purely traditional savings option to a more varied and dynamic sector within the banking industry, reflecting evolving consumer needs and the broader financial environment.

According to Cognitive Market Research, the global Certificate of Deposit market size will be USD XX million in 2024. It will expand at a compound annual growth rate (CAGR) of 8.00% from 2024 to 2031.

North America held the major market share for more than 40% of the global revenue with a market size of USD XX million in 2024 and will grow at a compound annual growth rate (CAGR) of 6.2% from 2024 to 2031.
Europe accounted for a market share of over 30% of the global revenue with a market size of USD XX million.
Asia Pacific held a market share of around 23% of the global revenue with a market size of USD XX million in 2024 and will grow at a compound annual growth rate (CAGR) of 10.0% from 2024 to 2031.
Latin America had a market share of more than 5% of the global revenue with a market size of USD XX million in 2024 and will grow at a compound annual growth rate (CAGR) of 7.4% from 2024 to 2031.
Middle East and Africa had a market share of around 2% of the global revenue and was estimated at a market size of USD XX million in 2024 and will grow at a compound annual growth rate (CAGR) of 7.7% from 2024 to 2031.
The Less than 1 year held the highest Certificate of Deposit market revenue share in 2024.

Market Dynamics of Certificate of Deposit Market

Key Drivers for Certificate of Deposit Market

Growing Demand for Early Retirement Planning to Increase the Demand Globally

The growing demand for early retirement planning is driving the Certificate of Deposit (CD) market as individuals increasingly seek secure and reliable investment options to ensure financial stability in their retirement years. CDs offer a low-risk investment with guaranteed returns, making them an attractive choice for conservative investors looking to preserve capital and generate predictable income. With an aging population and heightened awareness of the need for financial planning, more people are prioritizing investments that provide safety and stability. CDs, with their fixed interest rates and protection against market volatility, align well with the goals of early retirees who prioritize preserving their savings while earning a steady return. This trend fuels the growth of the CD market as part of comprehensive retirement strategies.

Growing Demand of Enhanced CD products to Propel Market Growth

The growing demand for enhanced Certificate of Deposit (CD) products is driving the market due to their ability to offer higher returns and additional features compared to traditional CDs. Enhanced CDs, such as those with variable interest rates, callable options, or market-linked returns, attract investors seeking better yields while still enjoying the security and low risk associated with CDs. These innovative products appeal to a broader range of investors, including those looking for diversified income streams and higher growth potential. Additionally, the customization and flexibility of enhanced CDs cater to the evolving preferences of investors, who are increasingly sophisticated and seeking tailored financial solutions. This trend boosts the attractiveness and market adoption of CDs, expanding their role in investment portfolios.

Restraint Factor for the Certificate of Deposit Market

Low Interest Rates to Limit the Sales

Low interest rates restrain the Certificate of Deposit (CD) market by reducing the attractiveness of these financial instruments to investors seeking higher returns. When interest rates are low, the yields on CDs decrease, making them less appealing compared to other investment options such as stocks, bonds, or mutual funds, which may offer higher potential returns. This diminished appeal leads to reduced demand for CDs among both retail and institutional investors. Additionally, low interest rates can prompt banks and financial institutions to offer fewer incentives or promotional rates for CDs, further dampening market growth. The overall impact is a slowdown in the market's expansion, as investors seek alternative investments that promise better returns in a low-interest-rate environment.

Impact of Covid-19 on the Certificate of Deposit Market

The COVID-19 pandemic had a mixed impact on the Certificate of Deposit (CD) market. On one hand, economic uncertainty and market volatility drove many investors towards safer, more stable investment options like CDs. This increased demand for secure, low-risk instruments as people sought to protect their capital. On the ot...

This entry covers single-level data and soil-level data at the original time resolution (once a day, or once every 6 hours, depending on the variable). Seasonal forecasts provide a long-range outlook of changes in the Earth system over periods of a few weeks or months, as a result of predictable changes in some of the slow-varying components of the system. For example, ocean temperatures typically vary slowly, on timescales of weeks or months; as the ocean has an impact on the overlaying atmosphere, the variability of its properties (e.g. temperature) can modify both local and remote atmospheric conditions. Such modifications of the 'usual' atmospheric conditions are the essence of all long-range (e.g. seasonal) forecasts. This is different from a weather forecast, which gives a lot more precise detail - both in time and space - of the evolution of the state of the atmosphere over a few days into the future. Beyond a few days, the chaotic nature of the atmosphere limits the possibility to predict precise changes at local scales. This is one of the reasons long-range forecasts of atmospheric conditions have large uncertainties. To quantify such uncertainties, long-range forecasts use ensembles, and meaningful forecast products reflect a distributions of outcomes. Given the complex, non-linear interactions between the individual components of the Earth system, the best tools for long-range forecasting are climate models which include as many of the key components of the system and possible; typically, such models include representations of the atmosphere, ocean and land surface. These models are initialised with data describing the state of the system at the starting point of the forecast, and used to predict the evolution of this state in time. While uncertainties coming from imperfect knowledge of the initial conditions of the components of the Earth system can be described with the use of ensembles, uncertainty arising from approximations made in the models are very much dependent on the choice of model. A convenient way to quantify the effect of these approximations is to combine outputs from several models, independently developed, initialised and operated. To this effect, the C3S provides a multi-system seasonal forecast service, where data produced by state-of-the-art seasonal forecast systems developed, implemented and operated at forecast centres in several European countries is collected, processed and combined to enable user-relevant applications. The composition of the C3S seasonal multi-system and the full content of the database underpinning the service are described in the documentation. The data is grouped in several catalogue entries (CDS datasets), currently defined by the type of variable (single-level or multi-level, on pressure surfaces) and the level of post-processing applied (data at original time resolution, processing on temporal aggregation and post-processing related to bias adjustment). The data includes forecasts created in real-time each month starting from the publication of this entry and retrospective forecasts (hindcasts) initialised over periods in the past specified in the documentation for each origin and system.

China CD of Commercial Bank (AAA) Yield: Yield to Maturity: 6 Month data was reported at 1.645 % pa in 16 May 2025. This records an increase from the previous number of 1.625 % pa for 15 May 2025. China CD of Commercial Bank (AAA) Yield: Yield to Maturity: 6 Month data is updated daily, averaging 2.835 % pa from Dec 2013 (Median) to 16 May 2025, with 2856 observations. The data reached an all-time high of 6.119 % pa in 31 Dec 2013 and a record low of 1.380 % pa in 08 Apr 2020. China CD of Commercial Bank (AAA) Yield: Yield to Maturity: 6 Month data remains active status in CEIC and is reported by China Central Depository & Clearing Co., Ltd. The data is categorized under China Premium Database’s Money Market, Interest Rate, Yield and Exchange Rate – Table CN.MO: CD of Commercial Bank Yield: Yield to Maturity.

Interbank Rate in South Korea remained unchanged at 2.52 percent on Friday July 11. This dataset provides - South Korea Overnight Interbank Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

ERA5 is the fifth generation ECMWF reanalysis for the global climate and weather for the past 8 decades. Data is available from 1940 onwards. ERA5 replaces the ERA-Interim reanalysis. Reanalysis combines model data with observations from across the world into a globally complete and consistent dataset using the laws of physics. This principle, called data assimilation, is based on the method used by numerical weather prediction centres, where every so many hours (12 hours at ECMWF) a previous forecast is combined with newly available observations in an optimal way to produce a new best estimate of the state of the atmosphere, called analysis, from which an updated, improved forecast is issued. Reanalysis works in the same way, but at reduced resolution to allow for the provision of a dataset spanning back several decades. Reanalysis does not have the constraint of issuing timely forecasts, so there is more time to collect observations, and when going further back in time, to allow for the ingestion of improved versions of the original observations, which all benefit the quality of the reanalysis product. ERA5 provides hourly estimates for a large number of atmospheric, ocean-wave and land-surface quantities. An uncertainty estimate is sampled by an underlying 10-member ensemble at three-hourly intervals. Ensemble mean and spread have been pre-computed for convenience. Such uncertainty estimates are closely related to the information content of the available observing system which has evolved considerably over time. They also indicate flow-dependent sensitive areas. To facilitate many climate applications, monthly-mean averages have been pre-calculated too, though monthly means are not available for the ensemble mean and spread. ERA5 is updated daily with a latency of about 5 days. In case that serious flaws are detected in this early release (called ERA5T), this data could be different from the final release 2 to 3 months later. In case that this occurs users are notified. The data set presented here is a regridded subset of the full ERA5 data set on native resolution. It is online on spinning disk, which should ensure fast and easy access. It should satisfy the requirements for most common applications. An overview of all ERA5 datasets can be found in this article. Information on access to ERA5 data on native resolution is provided in these guidelines. Data has been regridded to a regular lat-lon grid of 0.25 degrees for the reanalysis and 0.5 degrees for the uncertainty estimate (0.5 and 1 degree respectively for ocean waves). There are four main sub sets: hourly and monthly products, both on pressure levels (upper air fields) and single levels (atmospheric, ocean-wave and land surface quantities). The present entry is "ERA5 hourly data on pressure levels from 1940 to present".

Japan Certificate of Deposit: Rate: DLB: New Issues: 180 to 1 Year data was reported at 0.003 % pa in Sep 2018. This records an increase from the previous number of 0.002 % pa for Aug 2018. Japan Certificate of Deposit: Rate: DLB: New Issues: 180 to 1 Year data is updated monthly, averaging 0.108 % pa from Jan 1996 (Median) to Sep 2018, with 273 observations. The data reached an all-time high of 1.027 % pa in Jan 1998 and a record low of 0.001 % pa in Jun 2018. Japan Certificate of Deposit: Rate: DLB: New Issues: 180 to 1 Year data remains active status in CEIC and is reported by Bank of Japan. The data is categorized under Global Database’s Japan – Table JP.M008: Certificate of Deposit: Rate.

This dataset provides values for INTEREST RATE reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

The UERRA datasets contain reanalysis data of the atmosphere, the surface and near-surface as well as for the soil covering Europe. Essential climate variables are generated with the UERRA-HARMONIE and the MESCAN-SURFEX systems. UERRA-HARMONIE is a 3-dimensional variational data assimilation system, while MESCAN-SURFEX is a complementary surface analysis system. Using the Optimal Interpolation method, MESCAN provides the best estimate of daily accumulated precipitation and six-hourly air temperature and relative humidity at 2 meters above the model topography. The land surface platform SURFEX is forced with downscaled forecast fields from UERRA-HARMONIE as well as MESCAN analyses. It is run offline, i.e. without feedback to the atmospheric analysis performed in MESCAN or the UERRA-HARMONIE data assimilation cycles. Using SURFEX offline allows taking full benefit of precipitation analysis and to use the more advanced physics options to better represent surface variables such as surface temperature and surface fluxes, and soil processes related to water and heat transfer in the soil and snow. In general, reanalysis combines model data with observations into a complete and consistent dataset using the laws of physics. This principle, called data assimilation, is based on the method used by numerical weather prediction centres, where every so many hours (6 hours in the UERRA-HARMONIE system) a previous forecast is combined with newly available observations in an optimal way to produce a new best estimate of the state of the atmosphere, called analysis, from which an updated, improved forecast is issued. Reanalysis works in the same way, but at reduced resolution to allow for the provision of a dataset spanning back several decades. Reanalysis does not have the constraint of issuing timely forecasts, so there is more time to collect observations, and when going further back in time, to allow for the ingestion of improved versions of the original observations, which all benefit the quality of the reanalysis product. The assimilation system is able to estimate biases between observations and to sift good-quality data from poor data. The laws of physics allow for estimates at locations where data coverage is low. The provision of estimates at each grid point in Europe for each regular output time, over a long period, always using the same format, makes reanalysis a very convenient and popular dataset to work with. The observing system has changed drastically over time, and although the assimilation system can resolve data holes, the initially much sparser networks will lead to less accurate estimates. UERRA-HARMONIE data is available from 1961 and is updated once a month with a delay to real-time of about 4 months. The system provides four analyses per day – at 0 UTC, 6 UTC, 12 UTC, and 18 UTC. Between the analyses, forecasts of the system are available with hourly resolution. Hence, estimates of the status of the atmosphere are available for every hour since 1961. Moreover, forecasts up to 30 hours are available from the analyses initialised at 0 UTC and 12 UTC. In addition to observations in the model domain, a regional reanalysis needs information at its lateral boundaries. For the UERRA-HARMONIE system, this information is taken from the global reanalyses ERA40 (until the end of 1978) and ERA-interim (from 1979). The improvement over global products comes with the higher horizontal resolution that allows incorporating more regional details, e.g. topography. Moreover, it enables the system even to consider more observations at places with dense observation networks. The UERRA-HARMONIE regional reanalysis is produced at a horizontal resolution of 11km and MESCAN SURFEX provides data at a resolution of 5.5km. For the UERRA-HARMONIE system, variables are produced at the surface and on model levels (65 levels) but are also interpolated to two other level types: pressure levels (24 levels between 1000-10hPa), and height levels (11 levels between 15m-500m). The output of height levels were introduced with special focus on the wind energy sector and their needs. Soil data is available on 14 levels from the surface to a depth of 12m. The number of available parameters varies between the different level types. In order to make data access more manageable, the UERRA-HARMONIE and MESCAN-SURFEX dataset has been split into four records. Analysis time steps are available via the CDS whereas forecasts are available only through CDSAPI.

Multivariable predictors of 1-year mortality after ART initiation in the derivation cohort (N = 7,031).

Taiwan CBC Securities Issued CDS: Primary Market: 1 Year data was reported at 0.483 % pa in Oct 2018. This records an increase from the previous number of 0.482 % pa for Sep 2018. Taiwan CBC Securities Issued CDS: Primary Market: 1 Year data is updated monthly, averaging 0.900 % pa from Feb 1999 (Median) to Oct 2018, with 189 observations. The data reached an all-time high of 5.700 % pa in Feb 1999 and a record low of 0.338 % pa in Aug 2016. Taiwan CBC Securities Issued CDS: Primary Market: 1 Year data remains active status in CEIC and is reported by Central Bank of the Republic of China. The data is categorized under Global Database’s Taiwan – Table TW.M005: Capital Market Interest Rates.

Taiwan CBC Open Market: Yield: Weighted Avg: CD: More than 1 Year to 2 Year data was reported at 0.616 % pa in May 2018. This records a decrease from the previous number of 0.620 % pa for Apr 2018. Taiwan CBC Open Market: Yield: Weighted Avg: CD: More than 1 Year to 2 Year data is updated monthly, averaging 0.794 % pa from Mar 2000 (Median) to May 2018, with 98 observations. The data reached an all-time high of 5.416 % pa in May 2000 and a record low of 0.405 % pa in Aug 2016. Taiwan CBC Open Market: Yield: Weighted Avg: CD: More than 1 Year to 2 Year data remains active status in CEIC and is reported by Central Bank of the Republic of China. The data is categorized under Global Database’s Taiwan – Table TW.KA007: Central Bank of the Republic of China (CBC): Open Market Transactions.

Deposit Interest Rate in Russia increased to 19.39 percent in May from 19.32 percent in April of 2025. This dataset includes a chart with historical data for Deposit Interest Rate in Russia.

Korea Yield on CD: Month Avg: 91 Days data was reported at 1.650 % pa in Jun 2018. This stayed constant from the previous number of 1.650 % pa for May 2018. Korea Yield on CD: Month Avg: 91 Days data is updated monthly, averaging 4.678 % pa from Mar 1991 (Median) to Jun 2018, with 328 observations. The data reached an all-time high of 23.111 % pa in Jan 1998 and a record low of 1.340 % pa in Sep 2016. Korea Yield on CD: Month Avg: 91 Days data remains active status in CEIC and is reported by The Bank of Korea. The data is categorized under Global Database’s Korea – Table KR.M005: Securities Yield.

Taiwan CBC Open Market: Yield: Weighted Avg: CD: 274 Days to 1 Year data was reported at 0.482 % pa in Sep 2018. This records an increase from the previous number of 0.481 % pa for Aug 2018. Taiwan CBC Open Market: Yield: Weighted Avg: CD: 274 Days to 1 Year data is updated monthly, averaging 0.898 % pa from Feb 2000 (Median) to Sep 2018, with 185 observations. The data reached an all-time high of 5.350 % pa in Feb 2000 and a record low of 0.338 % pa in Aug 2016. Taiwan CBC Open Market: Yield: Weighted Avg: CD: 274 Days to 1 Year data remains active status in CEIC and is reported by Central Bank of the Republic of China. The data is categorized under Global Database’s Taiwan – Table TW.KA007: Central Bank of the Republic of China (CBC): Open Market Transactions.

Deposit Interest Rate in Australia decreased to 2.75 percent in June from 2.80 percent in May of 2025. This dataset includes a chart with historical data for Deposit Interest Rate in Australia.

Egypt CD: Foreign Currency Contingent Liabilities: 3 Months to 1 Year: Others data was reported at 0.000 USD mn in Jan 2025. This stayed constant from the previous number of 0.000 USD mn for Dec 2024. Egypt CD: Foreign Currency Contingent Liabilities: 3 Months to 1 Year: Others data is updated monthly, averaging 0.000 USD mn from Jul 2010 (Median) to Jan 2025, with 175 observations. The data reached an all-time high of 0.000 USD mn in Jan 2025 and a record low of 0.000 USD mn in Jan 2025. Egypt CD: Foreign Currency Contingent Liabilities: 3 Months to 1 Year: Others data remains active status in CEIC and is reported by Central Bank of Egypt. The data is categorized under Global Database’s Egypt – Table EG.KA010: Contingent Short-term Net Drains on Foreign Currency Assets.

Deposit Interest Rate in Argentina decreased to 32.14 percent in June from 32.73 percent in May of 2025. This dataset includes a chart with historical data for Deposit Interest Rate in Argentina.

Deposit Interest Rate in Israel decreased to 4.60 percent in January from 4.86 percent in December of 2023. This dataset includes a chart with historical data for Deposit Interest Rate in Israel.