Certificate of Deposit Market Outlook

The global certificate of deposit (CD) market size was valued at approximately USD 1 trillion in 2023, and it is projected to reach nearly USD 1.5 trillion by 2032, growing at a compound annual growth rate (CAGR) of around 4.5%. This growth is primarily driven by the increasing preference for safe and secure investment options amidst global economic uncertainties. Factors such as technological advancements in banking, fluctuating interest rates, and evolving consumer preferences are expected to further fuel the expansion of the CD market. As investors seek to balance risk and return, the certificate of deposit market is poised for significant growth over the next decade.

A major growth factor in the certificate of deposit market is the heightened demand for low-risk investment products, especially in volatile economic climates. As global markets experience fluctuations due to geopolitical tensions and unpredictable economic policies, investors are increasingly turning to CDs as a stable and predictable source of income. The fixed interest rates and government insurance associated with CDs make them an attractive option for risk-averse investors. Additionally, the increasing financial literacy among the population is leading to greater awareness of CDs as an investment tool, further driving market growth.

The digital transformation of banking services has also had a profound impact on the certificate of deposit market. Online banks and financial institutions are now offering more competitive rates and greater accessibility to CD products, thereby expanding their customer base. This digital shift has not only increased the convenience for consumers but also allowed institutions to reduce operational costs, enabling them to offer more attractive rates. Furthermore, the proliferation of fintech platforms has facilitated easier comparison of CD rates and terms, empowering consumers to make more informed investment decisions, which ultimately supports market growth.

Interest rates, which are a critical determinant of the attractiveness of CDs, have become progressively volatile, largely influencing the dynamics of the CD market. Central banks across the globe are adjusting rates in response to inflationary pressures and economic recovery efforts post-pandemic. While higher interest rates may enhance the appeal of CDs by offering better returns, they also make other investment avenues more attractive. Consequently, financial institutions are developing innovative CD products with features such as bump-up rates or liquidity options to maintain competitiveness. As interest rate environments evolve, so too will the strategies employed by both issuers and investors within the CD market.

Regionally, North America holds a significant share of the certificate of deposit market, driven by a mature banking sector and a high level of investor awareness. Europe follows closely, with its robust regulatory framework and stable economic environment contributing to sustained interest in CDs. Meanwhile, the Asia Pacific region is expected to exhibit the fastest growth rate, attributed to rapid economic development and increasing individual wealth in countries such as China and India. The Latin America and Middle East & Africa regions are also anticipated to see moderate growth, spurred by improving financial infrastructure and increasing investor education initiatives. Overall, the global CD market is poised for steady expansion, with varying growth trajectories across different regions.

Type Analysis

The certificate of deposit market is diverse, encompassing several types of CDs, each catering to different investor needs and preferences. Traditional CDs remain the most prevalent, offering fixed interest rates over specified terms. Their appeal lies in their simplicity and the assurance of a guaranteed return, which continues to attract conservative investors. The demand for traditional CDs is particularly strong among retirees and individuals seeking stable income sources. Despite the emergence of more flexible CD options, traditional CDs maintain their dominance due to the predictability and security they offer in uncertain financial climates.

Bump-Up CDs have gained traction as investors seek products that allow for interest rate adjustments during the term. This type of CD offers the potential for higher returns if market rates increase, providing a hedge against rising interest environments. The flexibility of bump-up CDs makes them attractive to investors who wish to capitalize on upward trends without abandoning the security of a CD. Howe

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...

Congo, The Democratic Republic of the CD: Interest Rate Spread data was reported at 16.436 % pa in 2017. This records an increase from the previous number of 15.671 % pa for 2016. Congo, The Democratic Republic of the CD: Interest Rate Spread data is updated yearly, averaging 20.727 % pa from Dec 2007 (Median) to 2017, with 11 observations. The data reached an all-time high of 49.343 % pa in 2009 and a record low of 14.657 % pa in 2013. Congo, The Democratic Republic of the CD: Interest Rate Spread data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Democratic Republic of Congo – Table CD.World Bank: Interest Rates. Interest rate spread is the interest rate charged by banks on loans to private sector customers minus the interest rate paid by commercial or similar banks for demand, time, or savings deposits. The terms and conditions attached to these rates differ by country, however, limiting their comparability.; ; International Monetary Fund, International Financial Statistics and data files.; Median;

Congo, The Democratic Republic of the CD: Deposit Interest Rate data was reported at 4.185 % pa in 2017. This records an increase from the previous number of 3.375 % pa for 2016. Congo, The Democratic Republic of the CD: Deposit Interest Rate data is updated yearly, averaging 7.719 % pa from Dec 2007 (Median) to 2017, with 11 observations. The data reached an all-time high of 16.773 % pa in 2010 and a record low of 3.375 % pa in 2016. Congo, The Democratic Republic of the CD: Deposit Interest Rate data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Democratic Republic of Congo – Table CD.World Bank.WDI: Interest Rates. Deposit interest rate is the rate paid by commercial or similar banks for demand, time, or savings deposits. The terms and conditions attached to these rates differ by country, however, limiting their comparability.; ; International Monetary Fund, International Financial Statistics and data files.; ;

The global CD publishing systems market is experiencing moderate growth, driven by the continued demand for physical media in niche sectors despite the rise of digital distribution. While the overall market size is shrinking compared to its peak, it maintains relevance due to its specialized applications. Let's assume, for illustrative purposes, a 2025 market size of $500 million, with a Compound Annual Growth Rate (CAGR) of 2% from 2025 to 2033. This modest growth reflects the sustained, albeit reduced, need for physical CDs in sectors like archiving, specialized audio production, and certain governmental and financial institutions. The market is segmented by size (large, medium, small) and application (audio/video, service bureaus, banking/finance, government, software, gaming, medical, telecommunications, manufacturing). Factors such as the increasing preference for digital formats and the declining cost of digital storage pose significant restraints on market expansion. However, the unique needs of specific applications, such as data security and archival purposes, coupled with the perceived higher quality or authenticity of physical media in certain industries, contribute to the market's continued existence. This niche market exhibits varying growth trajectories across different segments. While the overall CAGR is moderate, certain application segments, such as archiving within the government and financial services sectors, might display higher growth rates than others. Similarly, regional variations exist, with North America and Europe likely exhibiting comparatively stronger performance than other regions, due to the higher concentration of established players and specialized applications in those areas. The competitive landscape involves both established players like Rimage and Primera Technology, and smaller niche providers. Future market performance depends significantly on the continued demand for physical media in specialized sectors and innovation in CD publishing technologies. Technological advancements, potentially focusing on increased efficiency and automation, could positively influence market growth and profitability. This report provides a detailed analysis of the global CD publishing systems market, offering insights into market size, key players, emerging trends, and future growth prospects. The market, while facing decline due to digital media dominance, still holds significant value, particularly in niche sectors. We estimate the global market size at approximately $250 million in 2023, projecting a moderate decline to $220 million by 2028.

Credit Derivative Market Outlook

The global credit derivative market size was valued at approximately USD 8 trillion in 2023 and is expected to reach nearly USD 12 trillion by 2032, growing at a compound annual growth rate (CAGR) of 4.5% during the forecast period. The growth of the global credit derivative market is driven by the burgeoning need for risk management tools amidst increasing global financial uncertainties and the growing complexity of financial instruments.

One of the primary growth factors of the credit derivative market is the increasing need for risk management solutions. As financial markets become more interconnected and complex, the risk associated with credit exposure has also surged. Credit derivatives, such as credit default swaps (CDS), provide financial institutions with mechanisms to hedge against credit risk, making them indispensable tools in the modern financial landscape. The growth in corporate bond issuance and the expanding market for structured financial products further amplify the demand for credit derivatives as essential risk management instruments.

Another contributing factor is the rising demand for credit derivatives from diverse end-users, including banks, hedge funds, insurance companies, and pension funds. These institutions utilize credit derivatives for various purposes, such as enhancing portfolio returns, managing credit risk, and achieving regulatory capital relief. The growing sophistication of financial markets and the increasing prominence of non-bank financial entities have broadened the user base for credit derivatives, thereby catalyzing market growth. Additionally, the evolution of financial regulations and the need for compliance also spurs demand for credit derivatives as financial institutions seek to optimize their capital structures and manage risk exposures efficiently.

The proliferation of innovative financial instruments and technological advancements further propels the market. The development of more complex and tailored credit derivative products caters to the specific needs of various market participants. Technological innovations, such as blockchain and artificial intelligence, have enhanced the trading, settlement, and risk assessment processes associated with credit derivatives, making these instruments more accessible and easier to manage. The integration of advanced analytics and real-time data processing capabilities is also enhancing the accuracy of credit risk assessments, thereby boosting market adoption.

In addition to credit derivatives, the market for IP Derivatives is gaining traction as a novel financial instrument. These derivatives are designed to manage risks associated with intellectual property assets, such as patents and trademarks. As companies increasingly recognize the value of their intellectual property, there is a growing need to hedge against potential risks, including litigation and market volatility. IP Derivatives offer a way to transfer these risks, providing companies with a mechanism to protect their intangible assets. The development of this market is supported by the increasing sophistication of financial markets and the demand for innovative risk management solutions.

Regionally, North America holds the largest share of the credit derivative market, driven by the high concentration of major financial institutions and the early adoption of derivative products. Europe follows closely, supported by its robust financial markets and regulatory frameworks. The Asia Pacific region is anticipated to exhibit the highest growth rate due to the rapid development of financial markets, increased foreign investments, and the adoption of sophisticated financial instruments. The LATAM and MEA regions also show potential, albeit at a slower growth rate, attributed to improving financial infrastructures and growing financial market sophistication.

Product Type Analysis

The credit derivative market is segmented by product type into Credit Default Swaps (CDS), Total Return Swaps (TRS), Credit Linked Notes (CLN), Collateralized Debt Obligations (CDO), and others. Credit default swaps dominate the market due to their widespread use as a credit risk management tool. CDS allows investors to hedge against the risk of default on debt instruments, thereby providing a safety net in volatile market conditions. Their simplicity and effectiveness in transferring credit risk have made them the most popular form of credit derivative.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

CD1 CD PRIVATE EQUITY FUND I

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

Congo, The Democratic Republic of the CD: Lending Interest Rate data was reported at 20.621 % pa in 2017. This records an increase from the previous number of 19.046 % pa for 2016. Congo, The Democratic Republic of the CD: Lending Interest Rate data is updated yearly, averaging 35.800 % pa from Dec 2006 (Median) to 2017, with 12 observations. The data reached an all-time high of 65.418 % pa in 2009 and a record low of 18.692 % pa in 2014. Congo, The Democratic Republic of the CD: Lending Interest Rate data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Democratic Republic of Congo – Table CD.World Bank: Interest Rates. Lending rate is the bank rate that usually meets the short- and medium-term financing needs of the private sector. This rate is normally differentiated according to creditworthiness of borrowers and objectives of financing. The terms and conditions attached to these rates differ by country, however, limiting their comparability.; ; International Monetary Fund, International Financial Statistics and data files.; ;

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

CD Chindata Group Holdings Limited American Depositary Shares

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

CD PRIVATE EQUITY FUND II is assigned short-term B1 & long-term B1 estimated rating.

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

Sources: OECD (2021), OECD Inter-Country Input-Output Database, https://oe.cd/icio; International Monetary Fund (IMF), Statistics Department Questionnaire; IMF staff calculations.Category: Climate FinanceData series:Carbon Footprint of Bank Loans (Based on emission intensities)Carbon Footprint of Bank Loans (Based on emission intensities - normalized)Carbon Footprint of Bank Loans (Based on emission multipliers)Carbon Footprint of Bank Loans (Based on emission multipliers - normalized)Metadata:For relevant literature see Guan, Rong, Haitao Zheng, Jie Hu, Qi Fang, and Ruoen Ren. 2017. “The Higher Carbon Intensity of Loans, the Higher Non-Performing Loan Ratio: The Case of China.” Sustainability 9 (4) (April 22): 667. https://dx.doi.org/10.3390/su9040667.Methodology:The IMF has developed the Carbon Footprint of Bank Loans (CFBL) indicator for selected countries. CFBL indicator requires (i) deposit takers’ domestic loans by industry data, and (ii) the estimation of carbon emission factors (CEFs) by industry.The IMF has conducted a data collection exercise to obtain deposit takers’ domestic loans by industry data. The CEFs are calculated based on (i) direct metric tons of carbon emissions from fuel consumption per million $US of output by country and industry (CO2 emission intensities), and (ii) direct and indirect carbon emissions from fuel consumption per million $US of output by country (CO2 emission multipliers). The output multipliers and carbon emission intensities for 66 countries and 45 industries are sourced from the OECD Input-Output Database. Direct and indirect carbon emission factors are calculated by multiplying the Leontief inverse (also known as input-output multipliers) from the OECD World Input-Output Table by the carbon emissions from fuel consumption intensities.CFBL indicator is obtained by multiplying domestic loans to a specific industry by their corresponding carbon emission factors, summing over all industries and dividing the final result by total domestic loans. For a limited number of countries, updated CFBL information until 2018 will be posted in due course. CFBL is an experimental indicator. The index requires a nuanced reading. For instance, a sharp increase in the share of a brown industry in the deposit takers’ loans portfolio may create a negative impact on this indicator in the short term, but longer term results could diverge significantly if these loans were allocated for transition to low carbon environment or for continuing unsustainable brown activities. The emission coefficients applied to loans related to the emissions of the industry and not the emissions resulting from the consumption of the goods the industry produces. Also, the estimation methodology has a number of limitations. First, class level ISIC data could be more appropriate for the CFBL estimation, as it offers more detailed information to evaluate carbon footprint by industry. However, carbon emission factors are not available at this granularity. Also, the ISIC structure is not fully aligned with the needs of climate finance.Second, the granularity of the deposit takers’ domestic loans by industry data availability is not fully consistent across jurisdictions. It is not possible to obtain the loans by industry data at the same level of granularity from all participating countries. Third, the country coverage is limited as carbon intensity factors are available for only 66 countries. Fourth, input-output multipliers have limiting assumptions. Input-output multipliers are static (i.e., assume that there is a fixed input structure and fixed ratios for production for each industry) and do not take into account supply-side constraints or budget constraints. Please see additional information in this link.