In the United Kingdom (UK), digital wallets were a popular payment method used by ** percent of consumers who made e-commerce payments in 2024. That year, credit and debit cards were both still common options as well. Embracing digital wallets Gen Z, has helped make digital wallets more popular. Growing up with smartphones, the fast, easy, and secure way digital wallets allow payment makes them attractive to use both online and in stores. For many Gen Z shoppers, digital wallets do not just make payments simple, they also offer loyalty programs and special deals. Because of this, Gen Z is shifting away from traditional payment methods, seeing digital wallets as a natural part of their tech-focused lifestyle. This trend will likely keep growing, as its shown through its transaction value worldwide.
Millennials and Gen Z: powerhouses in social engagement Although Gen Z has shown a higher presence when it comes to using social media platforms, Millennials are also avid users and participate on social platforms at the same capacity as Gen Z, at around ** percent respecitvely. Both generation have high frequency of use of such platforms, with around ** percent of them being on social media daily, making social media an important factor to consider when looking at e-commerce customer journeys.

Estonia Payment Cards: Transaction: Value: Debit: E-commerce data was reported at 41.600 EUR mn in Oct 2018. This records an increase from the previous number of 37.500 EUR mn for Sep 2018. Estonia Payment Cards: Transaction: Value: Debit: E-commerce data is updated monthly, averaging 14.650 EUR mn from May 2012 (Median) to Oct 2018, with 78 observations. The data reached an all-time high of 41.600 EUR mn in Oct 2018 and a record low of 5.200 EUR mn in May 2012. Estonia Payment Cards: Transaction: Value: Debit: E-commerce data remains active status in CEIC and is reported by Bank of Estonia. The data is categorized under Global Database’s Estonia – Table EE.KA006: Payment Statistics: Cards Transactions.

This statistic displays the most popular payment methods for online purchases in the United Kingdom (UK) in 2020. During the survey period in 2020, it was found that ** percent of respondents preferred to pay via credit or debit card when they shopped online. Direct payment through bank was unpopular: *** percent of respondents chose this as their preferred method of payment.

Nigeria Payment Transactions: Web: Volume data was reported at 6,257,553.000 NA in Dec 2018. This records an increase from the previous number of 5,766,482.000 NA for Nov 2018. Nigeria Payment Transactions: Web: Volume data is updated monthly, averaging 359,444.500 NA from Jan 2009 (Median) to Dec 2018, with 120 observations. The data reached an all-time high of 6,257,553.000 NA in Dec 2018 and a record low of 86,939.000 NA in Aug 2011. Nigeria Payment Transactions: Web: Volume data remains active status in CEIC and is reported by Central Bank of Nigeria. The data is categorized under Global Database’s Nigeria – Table NG.KA004: Payment Channel Statistics.

Percentage of online shoppers by method of payment for goods and services ordered over the Internet during the past 12 months.

Estonia Payment Cards: Transaction: Vol: Residents: E-commerce data was reported at 1,288.100 Unit th in Jun 2018. This records an increase from the previous number of 1,268.000 Unit th for May 2018. Estonia Payment Cards: Transaction: Vol: Residents: E-commerce data is updated monthly, averaging 482.400 Unit th from May 2012 (Median) to Jun 2018, with 74 observations. The data reached an all-time high of 1,431.300 Unit th in Mar 2018 and a record low of 178.200 Unit th in Jun 2012. Estonia Payment Cards: Transaction: Vol: Residents: E-commerce data remains active status in CEIC and is reported by Bank of Estonia. The data is categorized under Global Database’s Estonia – Table EE.KA006: Payment Statistics: Cards Transactions.

Roughly **** out of 10 respondents said that security and convenience were the most important things when choosing how to pay online. This is according to a survey held in seven different countries in Europe and North America in 2024. Although security was the top priority across all countries, differences were observed in some areas. The speed at which transactions are processed was more critical to Bulgarian respondents than it was to Canadian respondents.

Pakistan Payment Systems Infrastructure: Real Time Online Branches data was reported at 15,930.000 Unit in Dec 2019. This records an increase from the previous number of 15,451.000 Unit for Sep 2019. Pakistan Payment Systems Infrastructure: Real Time Online Branches data is updated quarterly, averaging 9,946.000 Unit from Sep 2006 (Median) to Dec 2019, with 53 observations. The data reached an all-time high of 15,930.000 Unit in Dec 2019 and a record low of 3,555.000 Unit in Sep 2006. Pakistan Payment Systems Infrastructure: Real Time Online Branches data remains active status in CEIC and is reported by State Bank of Pakistan. The data is categorized under Global Database’s Pakistan – Table PK.KA015: Payment System Statistics: Infrastructure.

The "Brazilian Payment Methods" dataset provides comprehensive monthly statistics on payment transactions in Brazil in its various forms, sourced from the Banco Central do Brasil (Banco Central do Brasil). This dataset is invaluable for researchers, analysts and policymakers interested in understanding the dynamics of payment methods in Brazil's financial ecosystem.

It is possible to follow the evolution of different payment methods over time, such as the rise of PIX in contrast to the decline of methods such as DOC. This allows for a detailed analysis of how the adoption and use of different payment instruments has changed over the years.

Main features:

Period: The dataset covers monthly data starting from January 2016. Data sources: All data comes directly from the Central Bank of Brazil, ensuring high accuracy and reliability. Payment methods included: PIX: Instant payments. TED (Electronic Transfer Available): High value transfers. TEC (Electronic Credit Transfer): Commonly used to pay salaries DOC (Documentary Credit Order): Interbank transfers. Check: Paper payment method. Boleto: Boletos issued by the bank. Metrics: The dataset includes the quantity and total value of transactions for each payment method. Columns:

YearMonth: The reference month in YYYYMM format. quantityPix: Number of PIX transactions. valuePix: Total value of PIX transactions. quantityTED: The number of TED transactions. valueTED: The total value of TED transactions. quantityTEC: The number of TEC transactions. valueTEC: The total value of TEC transactions. quantityBankCheck: The number of check transactions. valueBankCheck: The total value of check transactions. quantityBrazilianBoletoPayment: Number of boleto transactions. valueBrazilianBoletoPayment: The total value of the boleto transactions. quantityDOC: The number of DOC transactions. valueDOC: The total value of DOC transactions.

This dataset can be used for a variety of analyses, including but not limited to:

Trend analysis: Track the growth or decline in the use of different payment methods over time. Economic Research: Study the impact of economic events on payment behavior. Financial Planning: Assistance in decision-making for financial institutions and companies. Policy making: Inform policy decisions regarding the regulation and promotion of payment methods. Data collection:

Data is collected and updated monthly, ensuring that users have access to the most current information. The script used to collect and update data was designed to be executed automatically, fetching the most recent data from the Central Bank of Brazil API.

Column Names Translation:

The original column names from the Central Bank of Brazil's API have been translated into English where possible. For instance:

    AnoMes has been translated to YearMonth
    quantidadePix has been translated to quantityPix
    valorPix has been translated to valuePix
    quantidadeTED has been translated to quantityTED
    valorTED has been translated to valueTED
    quantidadeTEC has been translated to quantityTEC
    valorTEC has been translated to valueTEC
    quantidadeCheque has been translated to quantityBankCheck
    valorCheque has been translated to valueBankCheck
    quantidadeBoleto has been translated to quantityBrazilianBoletoPayment
    valorBoleto has been translated to valueBrazilianBoletoPayment
    quantidadeDOC has been translated to quantityDOC
    valorDOC has been translated to valueDOC

Thanks:

We thank the Central Bank of Brazil for providing open access to this valuable data. For more details, visit Central Bank of Brazil – Open Data.

License:

This dataset is licensed under the Open Data Commons Open Database License (ODbL). You are free to share, modify and use the data, as long as you attribute the source.

Discover the booming Vietnam payments industry! This report analyzes market size, CAGR (10.58%), key players (MoMo, ZaloPay, VNPAY), and future trends driving growth in digital wallets, online payments, and POS systems. Explore investment opportunities and market segmentation data for 2019-2033. Recent developments include: June 2022 - Vietnam Posts and Telecommunications Group (VNPT) and the Joint Stock Commercial Bank for Foreign Trade of Vietnam (Vietcombank) have inked a collaboration agreement (VNPT). The development of digital payment services and platforms is covered under this bilateral cooperation agreement., November 2021 - Le Minh Khai, the Deputy Prime Minister, has signed a resolution authorizing a scheme for the growth of cashless payment in Vietnam from 2021 to 2025. The project's goals are to promote positive changes in cashless payment in a high-growth economy, make the practice a habit for inhabitants in metropolitan regions, progressively expand to rural, remote, and mountainous locations, as well as eliminate cash-related expenditures.. Key drivers for this market are: High Proliferation of E-commerce, including the rise of m-commerce and cross-border e-commerce supported by the increase in purchasing power, Enablement Programs by Key Retailers and Government encouraging digitization of the market; Growth of Real-time Payments, especially Buy Now Pay Later in the country. Potential restraints include: High Installation Costs Coupled with Maintenance Costs. Notable trends are: Digital Wallets to Drive the Payment Market.

Hong Kong SAR (China) Total Number Of Debit Card Transactions For RS/Bill Payments data was reported at 55,503.000 Number th in Dec 2024. This records an increase from the previous number of 54,020.000 Number th for Sep 2024. Hong Kong SAR (China) Total Number Of Debit Card Transactions For RS/Bill Payments data is updated quarterly, averaging 33,171.000 Number th from Mar 2008 (Median) to Dec 2024, with 68 observations. The data reached an all-time high of 55,503.000 Number th in Dec 2024 and a record low of 24,180.000 Number th in Sep 2008. Hong Kong SAR (China) Total Number Of Debit Card Transactions For RS/Bill Payments data remains active status in CEIC and is reported by Hong Kong Monetary Authority. The data is categorized under Global Database’s Hong Kong SAR (China) – Table HK.KA004: Statistics of Payment Cards Issued in Hong Kong. [COVID-19-IMPACT]

Over ** percent of Romanians used online payment forms in 2022, a much higher share than the other countries' average of ** percent. Out of those using online payment methods, payment cards were the most common online payment form last used, followed by cash payments on delivery and digital wallets.

Czech Republic Payment Cards: Number of Merchant Outlets: Web Merchants: MasterCard data was reported at 29,889.000 Unit in Sep 2025. This records an increase from the previous number of 28,359.000 Unit for Jun 2025. Czech Republic Payment Cards: Number of Merchant Outlets: Web Merchants: MasterCard data is updated quarterly, averaging 7,885.000 Unit from Mar 2007 (Median) to Sep 2025, with 73 observations. The data reached an all-time high of 29,889.000 Unit in Sep 2025 and a record low of 754.000 Unit in Mar 2007. Czech Republic Payment Cards: Number of Merchant Outlets: Web Merchants: MasterCard data remains active status in CEIC and is reported by Bank Card Association. The data is categorized under Global Database’s Czech Republic – Table CZ.KA: Payment Cards Statistics: by Type.

Payment Cards: Transactions Value: Czech Republic Area: Web Transactions: Diners Club data was reported at 457,028.733 CZK th in Dec 2024. This records an increase from the previous number of 249,129.665 CZK th for Sep 2024. Payment Cards: Transactions Value: Czech Republic Area: Web Transactions: Diners Club data is updated quarterly, averaging 14,630.658 CZK th from Mar 2007 (Median) to Dec 2024, with 70 observations. The data reached an all-time high of 25,003,406.475 CZK th in Dec 2019 and a record low of 0.000 CZK th in Dec 2012. Payment Cards: Transactions Value: Czech Republic Area: Web Transactions: Diners Club data remains active status in CEIC and is reported by Bank Card Association. The data is categorized under Global Database’s Czech Republic – Table CZ.KA009: Payment Cards Statistics: by Type.

Pakistan Payment Systems Transactions: Volume: E-Banking: ATM data was reported at 135.700 Unit mn in Dec 2019. This records an increase from the previous number of 129.900 Unit mn for Sep 2019. Pakistan Payment Systems Transactions: Volume: E-Banking: ATM data is updated quarterly, averaging 123.750 Unit mn from Sep 2016 (Median) to Dec 2019, with 14 observations. The data reached an all-time high of 135.700 Unit mn in Dec 2019 and a record low of 89.100 Unit mn in Sep 2016. Pakistan Payment Systems Transactions: Volume: E-Banking: ATM data remains active status in CEIC and is reported by State Bank of Pakistan. The data is categorized under Global Database’s Pakistan – Table PK.KA017: Payment System Statistics: Transactions. [COVID-19-IMPACT]

Payment Data Platform Market Outlook

As per our latest research, the global Payment Data Platform market size in 2024 reached USD 5.9 billion, demonstrating a robust expansion trajectory. The market is forecasted to grow at a CAGR of 15.4% from 2025 to 2033, reaching a projected value of USD 20.2 billion by 2033. This significant growth is primarily driven by the increasing digitalization of payments, the proliferation of e-commerce, and the rising need for advanced data analytics to drive business intelligence and compliance in a rapidly evolving regulatory landscape.

One of the core growth factors propelling the Payment Data Platform market is the exponential rise in digital payment transactions globally. The shift from cash-based to digital, contactless, and mobile payments, especially accelerated by the COVID-19 pandemic, has created an immense volume of transaction data. Organizations are now compelled to deploy sophisticated payment data platforms to aggregate, analyze, and leverage this data for operational efficiency, fraud prevention, and customer experience enhancement. The surge in mobile wallet adoption, peer-to-peer payment apps, and cross-border e-commerce has further amplified the demand for platforms that can seamlessly integrate disparate data sources while ensuring security and regulatory compliance.

Another pivotal driver is the escalating threat landscape related to payment fraud and cybercrime. The increasing complexity and frequency of cyber-attacks targeting payment systems have prompted enterprises to invest in advanced payment data platforms equipped with real-time fraud detection and prevention capabilities. These platforms utilize AI, machine learning, and big data analytics to monitor payment flows, identify anomalies, and mitigate risks proactively. Additionally, the growing regulatory scrutiny, particularly in sectors such as BFSI and healthcare, necessitates robust compliance management solutions, further fueling the adoption of comprehensive payment data platforms.

The market is also witnessing a surge in demand for customer analytics and personalized payment experiences. Businesses across retail, e-commerce, and hospitality are leveraging payment data platforms to gain actionable insights into consumer behavior, preferences, and transaction patterns. This data-driven approach enables the creation of targeted marketing campaigns, loyalty programs, and seamless omnichannel payment experiences, thereby driving customer retention and revenue growth. Furthermore, the integration of payment data platforms with emerging technologies such as blockchain and IoT is opening new avenues for innovation, security, and transparency in payment ecosystems.

From a regional perspective, North America currently dominates the Payment Data Platform market, accounting for the largest share in 2024, followed by Europe and Asia Pacific. The region’s leadership is attributed to the early adoption of digital payment technologies, a mature fintech ecosystem, and stringent regulatory frameworks. However, Asia Pacific is poised for the highest growth rate during the forecast period, driven by rapid digital transformation, increasing mobile penetration, and the booming e-commerce sector in countries such as China, India, and Southeast Asia. Meanwhile, regions like Latin America and the Middle East & Africa are gradually catching up, fueled by governmental initiatives to promote financial inclusion and digital payments.

Component Analysis

The Payment Data Platform market by component is categorized into software and services, each playing a critical role in the overall ecosystem. Software solutions form the backbone of the market, encompassing core functionalities such as data aggregation, analytics, fraud detection, compliance management, and payment processing. These platforms are increasingly leveraging cutting-edge technologies such as artificial intelligence, machine learning, and blockchain to offer real-time insights, automate workflows, and enhance security. The growing complexity of payment ecosystems, coupled with the need for seamless integration with existing enterprise systems, has led to the development of highly scalable and customizable software solutions tailored to diverse industry requirements.

On the other hand, services are integral to the successful deployment, integration, and ongoing management of payment data

In 2024, the most popular method for e-commerce payments in Indonesia was the digital wallet. It accounted for ** percent of all e-commerce payments in that year. The value of e-commerce payments in Indonesia is expected to grow in the coming years. Online purchases with online payment According to a survey, about ** percent of e-payment users stated that they used e-payment transactions to pay online purchases. Its convenience and practicality were the leading reasons why Indonesians chose e-payment transactions. With the rising number of e-commerce markets in Indonesia, it is therefore not surprising that the volume of e-payment transactions has also increased. In 2024, the annual e-commerce spending on electronic products among Indonesian consumers alone was estimated at **** million U.S. dollars. Leading e-walletsAs of June 2024, Gopay (by Gojek) ranked first among the most used e-wallet app in Indonesia, followed by Dana and OVO. The security of the platform and its customer service were the top reasons why consumers preferred one platform over the other. While Gopay is associated with Gojek and used exclusively for transactions within the app, OVO partnered with Gojek’s biggest rival, Grab, and one of the largest e-commerce platforms in Indonesia, Tokopedia, to help secure its position as the country’s most-used mobile payment service/app.

As of 2024, debit cards accounted for almost ** percent of the e-commerce payments in Peru. International credit cards followed as the second most preferred mode of digital commerce payment, accounting for ** percent of sales.

Pakistan E-Commerce Transactions: Volume: Debit Cards data was reported at 3.000 Unit mn in Dec 2019. This records an increase from the previous number of 2.300 Unit mn for Sep 2019. Pakistan E-Commerce Transactions: Volume: Debit Cards data is updated quarterly, averaging 0.850 Unit mn from Sep 2016 (Median) to Dec 2019, with 14 observations. The data reached an all-time high of 3.000 Unit mn in Dec 2019 and a record low of 0.100 Unit mn in Sep 2016. Pakistan E-Commerce Transactions: Volume: Debit Cards data remains active status in CEIC and is reported by State Bank of Pakistan. The data is categorized under Global Database’s Pakistan – Table PK.KA018: Payment System Statistics: Transactions: by Payment Cards. [COVID-19-IMPACT]