Indonesia Electronic Card: Transaction: Credit Card: Value: Purchase data was reported at 28,999,850.495 IDR mn in Jul 2019. This records an increase from the previous number of 25,192,735.930 IDR mn for Jun 2019. Indonesia Electronic Card: Transaction: Credit Card: Value: Purchase data is updated monthly, averaging 16,850,690.870 IDR mn from Jan 2006 (Median) to Jul 2019, with 163 observations. The data reached an all-time high of 29,665,571.587 IDR mn in May 2019 and a record low of 3,790,391.600 IDR mn in Feb 2006. Indonesia Electronic Card: Transaction: Credit Card: Value: Purchase data remains active status in CEIC and is reported by Bank of Indonesia. The data is categorized under Global Database’s Indonesia – Table ID.KAG001: Electronic Card Statistics.

Applications by employees for Government credit cards issued in card-holder’s name, whether for official travel expenses or for purchasing goods and services.

Turkey Transaction Value: Credit Card Issued by BKM Member Bank: Purchase data was reported at 606,478.650 TRY mn in 2017. This records an increase from the previous number of 536,501.350 TRY mn for 2016. Turkey Transaction Value: Credit Card Issued by BKM Member Bank: Purchase data is updated yearly, averaging 174,663.000 TRY mn from Dec 2000 (Median) to 2017, with 18 observations. The data reached an all-time high of 606,478.650 TRY mn in 2017 and a record low of 762.000 TRY mn in 2000. Turkey Transaction Value: Credit Card Issued by BKM Member Bank: Purchase data remains active status in CEIC and is reported by The Interbank Card Center. The data is categorized under Global Database’s Turkey – Table TR.KA013: Credit and Debit Cards Statistics: Annual.

Graph and download economic data for Large Bank Consumer Credit Card Balances: Average Purchase Volume by Credit Score Group: <660 Credit Score (RCCCBPURCHASEASLT660) from Q3 2012 to Q1 2025 about volume, score, FR Y-14M, credit cards, consumer credit, large, purchase, balance, credits, average, loans, consumer, banks, depository institutions, and USA.

This Dataset contains year, month, bank-type and bank-wise total value and volume of card payments and cash withdrawal transactions of credit and debit Cards at point of sale (PoS), ATMs and online during each month

1) Data Introduction • The Credit Card Transactions Dataset includes more than 20 million credit card transactions over the decades of 2,000 U.S. resident consumers created by IBM's simulations, providing details of each transaction and fraudulent labels.

2) Data Utilization (1) Credit Card Transactions Dataset has characteristics that: • This dataset provides a variety of properties that are similar to real credit card transactions, including transaction amount, time, card information, purchase location, and store category (MCC). (2) Credit Card Transactions Dataset can be used to: • Development of Credit Card Fraud Detection Model: Using transaction history and properties, you can build a fraud (abnormal transaction) detection model based on machine learning. • Analysis of consumption patterns and risks: Long-term and diverse transaction data can be used to analyze customer consumption behavior and identify risk factors.

The Purchase and Travel Card data provides detail on agency credit card activity for general purchases and travel. This data can be viewed by card type, agency, and expense category.

Graph and download economic data for Large Bank Consumer Credit Card Originations: Average Original Purchase APR: Private Label (RCCCOAPRAVGPCTPL) from Q3 2012 to Q1 2025 about origination, FR Y-14M, credit cards, purchase, consumer credit, large, average, loans, consumer, banks, depository institutions, private, and USA.

Turkey Credit Card Transaction: Domestic: Value: Domestic Cards: Purchase data was reported at 63,455.540 TRY mn in Sep 2018. This records an increase from the previous number of 60,023.490 TRY mn for Aug 2018. Turkey Credit Card Transaction: Domestic: Value: Domestic Cards: Purchase data is updated monthly, averaging 17,315.230 TRY mn from Jan 2002 (Median) to Sep 2018, with 201 observations. The data reached an all-time high of 63,455.540 TRY mn in Sep 2018 and a record low of 1,225.030 TRY mn in Jan 2002. Turkey Credit Card Transaction: Domestic: Value: Domestic Cards: Purchase data remains active status in CEIC and is reported by The Interbank Card Center. The data is categorized under Global Database’s Turkey – Table TR.KA012: Credit and Debit Cards Statistics.

In March 2023, there were over *** thousand ATM withdrawal transactions and *** million point-of sale transactions made via credit cards in India. Cash withdrawal via ATMs witnessed a significant increase as compared to last year.

Korean Companies’ Consumer Transaction Data provides detailed insights into consumer behavior, market trends, and economic indicators. This data includes purchase amounts, item details, transaction dates, locations, payment methods, and anonymized consumer demographics. Collected from sources such as credit card transactions, loyalty programs, e-commerce platforms, and POS systems, it helps investors identify new market trends, predict company performance, analyze economic health, and conduct competitor analysis, crucial for valuing Korean B2C companies.

The usage of online marketplace in Indonesia increases due to Covid-19 pandemic and its supporting environment such as payment systems. This investigation was conducted to determine the effect of Website Quality on Online Impulsive Buying Behavior moderated by Sales Promotion and Credit Card Usage in Indonesian marketplace. This study uses quantitative methods with causal analysis. In this research, data was collected through online questionnaires and 275 respondents who used the marketplace website responded. This research uses PLS-SEM data analysis technique. The results of this study showed that three out of five hypotheses are accepted. This study shows that Website Quality, Credit Card Use, and Sales Promotion have positive significant effect on Online Impulse Buying Behavior. However, the result of this study also revealed interesting findings, that there is not enough evidence to support moderation effect of Credit Card use and Sales Promotion in the relationship between web quality and Online Impulse Buying Behavior.

Global Spend Analysis with Consumer Edge Credit & Debit Card Transaction Data

Consumer Edge is a leader in alternative consumer data for public and private investors and corporate clients. CE Vision EUR is an aggregated transaction feed that includes consumer transaction data on 6.7M+ Europe-domiciled payment accounts, including 5.3M+ active monthly users. Capturing online, offline, and 3rd-party consumer spending on public and private companies, data covers 4.4K+ brands and 620 symbols including 490 public tickers. Track detailed consumer behavior patterns, including retention, purchase frequency, and cross shop in addition to total spend, transactions, and dollars per transaction.

Consumer Edge’s consumer transaction datasets offer insights into industries across consumer and discretionary spend such as: • Apparel, Accessories, & Footwear • Automotive • Beauty • Commercial – Hardlines • Convenience / Drug / Diet • Department Stores • Discount / Club • Education • Electronics / Software • Financial Services • Full-Service Restaurants • Grocery • Ground Transportation • Health Products & Services • Home & Garden • Insurance • Leisure & Recreation • Limited-Service Restaurants • Luxury • Miscellaneous Services • Online Retail – Broadlines • Other Specialty Retail • Pet Products & Services • Sporting Goods, Hobby, Toy & Game • Telecom & Media • Travel

This data sample illustrates how Consumer Edge data can be used to understand a company’s growth by country for a specific time period (Ex: What was McDonald’s year-over-year growth by country from 2019-2020?)

Inquire about a CE subscription to perform more complex, near real-time global spend analysis functions on public tickers and private brands like: • Analyze year-over-year spend growth for a company for a subindustry by country • Analyze spend growth for a company vs. its competitors by country through most recent time

Consumer Edge offers a variety of datasets covering the US and Europe (UK, Austria, France, Germany, Italy, Spain), with subscription options serving a wide range of business needs.

Use Case: Global Spend Analysis

Problem A global retailer wants to understand company performance by geography to identify growth and expansion opportunities.

Solution Consumer Edge transaction data can be used to analyze shopper behavior across geographies and track: • Growth trends by country vs. competitors • Brand performance vs. subindustry by country • Opportunities for product and location expansion

Impact Marketing and Consumer Insights were able to: • Develop weekly reporting KPI's on key growth drivers by geography for company-wide reporting • Refine strategy in underperforming geographies, both online and offline • Identify areas for investment and expansion by country • Understand how different cohorts are performing compared to key competitors

Corporate researchers and consumer insights teams use CE Vision for:

Corporate Strategy Use Cases • Ecommerce vs. brick & mortar trends • Real estate opportunities • Economic spending shifts

Marketing & Consumer Insights • Total addressable market view • Competitive threats & opportunities • Cross-shopping trends for new partnerships • Demo and geo growth drivers • Customer loyalty & retention

Investor Relations • Shareholder perspective on brand vs. competition • Real-time market intelligence • M&A opportunities

Most popular use cases for private equity and venture capital firms include: • Deal Sourcing • Live Diligences • Portfolio Monitoring

Public and private investors can leverage insights from CE’s synthetic data to assess investment opportunities, while consumer insights, marketing, and retailers can gain visibility into transaction data’s potential for competitive analysis, understanding shopper behavior, and capturing market intelligence.

Most popular use cases among public and private investors include: • Track Key KPIs to Company-Reported Figures • Understanding TAM for Focus Industries • Competitive Analysis • Evaluating Public, Private, and Soon-to-be-Public Companies • Ability to Explore Geographic & Regional Differences • Cross-Shop & Loyalty • Drill Down to SKU Level & Full Purchase Details • Customer lifetime value • Earnings predictions • Uncovering macroeconomic trends • Analyzing market share • Performance benchmarking • Understanding share of wallet • Seeing subscription trends

Fields Include: • Day • Merchant • Subindustry • Industry • Spend • Transactions • Spend per Transaction (derivable) • Cardholder State • Cardholder CBSA • Cardholder CSA • Age • Income • Wealth • Ethnicity • Political Affiliation • Children in Household • Adults in Household • Homeowner vs. Renter • Business Owner • Retention by First-Shopped Period • Churn • Cross-Shop • Average Ticket Buckets

Canada was one of three countries worldwide in 2021, where credit card ownership among consumers 15 years and up was over ** percent. This according to a major survey held once every three years in over 140 different countries. The results highlight the major differences in how countries prefer to pay: In Europe, for instance, the Nordics, Luxembourg, and the United Kingdom are regarded as top credit card countries, whereas the Netherlands ranked significantly lower than all these countries. Credit card usage Cardholders use their credit cards for billions of purchase transactions per year. Some do this to avoid carrying cash around, while others carry out transactions. Many also use credit cards because they do not have to pay immediately. While this can help with monthly cash flow issues, it can also lead to credit card debt that can take years to pay off. Regional differences in credit cards Some counties have a culture of credit card usage. For example, the leading credit card companies in the United States have issued hundreds of millions of credit cards, more than the number of U.S. citizens. Other countries do not have the culture of non-cash transactions. Overcoming this requires both an investment in payment infrastructure and putting people in the habit of using cards instead of cash.

ExactOne delivers unparalleled consumer transaction insights to help investors and corporate clients uncover market opportunities, analyze trends, and drive better decisions.

Dataset Highlights - Source: Debit and credit card transactions from 600K+ active users and 2M accounts connected via Open Banking. Scale: Covers 250M+ annual transactions, mapped to 1,800+ merchants and 330+ tickers. Historical Depth: Over 6 years of transaction data. Flexibility: Analyse transactions by merchant/ticker, category/industry, or timeframe (daily, weekly, monthly, or quarterly).

ExactOne data offers visibility into key consumer industries, including: Airlines - Regional / Budget Airlines - Cargo Airlines - Full Service Autos - OEMs Communication Services - Cable & Satellite Communication Services - Integrated Telecommunications Communication Services - Wireless Telecom Consumer - Services Consumer - Health & Fitness Consumer Staples - Household Supplies Energy - Utilities Energy - Integrated Oil & Gas Financial Services - Insurance Grocers - Traditional Hotels - C-corp Industrial - Misc Industrial - Tools And Hardware Internet - E-commerce Internet - B2B Services Internet - Ride Hailing & Delivery Leisure - Online Gambling Media - Digital Subscription Real Estate - Brokerage Restaurants - Quick Service Restaurants - Fast Casual Restaurants - Pubs Restaurants - Specialty Retail - Softlines Retail - Mass Merchants Retail - European Luxury Retail - Specialty Retail - Sports & Athletics Retail - Footwear Retail - Dept Stores Retail - Luxury Retail - Convenience Stores Retail - Hardlines Technology - Enterprise Software Technology - Electronics & Appliances Technology - Computer Hardware Utilities - Water Utilities

Use Cases

For Private Equity & Venture Capital Firms: - Deal Sourcing: Identify high-growth opportunities. - Due Diligence: Leverage transaction data to evaluate investment potential. - Portfolio Monitoring: Track performance post-investment with real-time data.

For Consumer Insights & Strategy Teams: - Market Dynamics: Compare sales trends, average transaction size, and customer loyalty. - Competitive Analysis: Benchmark market share and identify emerging competitors. - E-commerce vs. Brick & Mortar Trends: Assess channel performance and strategic opportunities. - Demographic & Geographic Insights: Uncover growth drivers by demo and geo segments.

For Investor Relations Teams: - Shareholder Insights: Monitor brand performance relative to competitors. - Real-Time Intelligence: Analyse sales and market dynamics for public and private companies. - M&A Opportunities: Evaluate market share and growth potential for strategic investments.

Key Benefits of ExactOne - Understand Market Share: Benchmark against competitors and uncover emerging players. - Analyse Customer Loyalty: Evaluate repeat purchase behavior and retention rates. - Track Growth Trends: Identify key drivers of sales by geography, demographic, and channel. - Granular Insights: Drill into transaction-level data or aggregated summaries for in-depth analysis.

With ExactOne, investors and corporate leaders gain actionable, real-time insights into consumer behaviour and market dynamics, enabling smarter decisions and sustained growth.

Turkey Credit Card Transaction: Intl: Vol: Domestic Cards: Purchase data was reported at 8,412,192.000 Unit in Mar 2018. This records an increase from the previous number of 7,621,472.000 Unit for Feb 2018. Turkey Credit Card Transaction: Intl: Vol: Domestic Cards: Purchase data is updated monthly, averaging 1,646,613.000 Unit from Jan 2002 (Median) to Mar 2018, with 195 observations. The data reached an all-time high of 8,412,192.000 Unit in Mar 2018 and a record low of 324,582.000 Unit in Sep 2002. Turkey Credit Card Transaction: Intl: Vol: Domestic Cards: Purchase data remains active status in CEIC and is reported by The Interbank Card Center. The data is categorized under Global Database’s Turkey – Table TR.KA012: Credit and Debit Cards Statistics.

Graph and download economic data for Large Bank Consumer Credit Card Balances: Average Purchase APR: General Purpose (RCCCBAPRAVGPCTGP) from Q3 2012 to Q2 2025 about , and .

Data on the distribution of total annual fraud losses on UK-issued debit and credit cards in the United Kingdom (UK) in 2020 shows that the largest share of fraud losses on UK-issued debit and credit cards was attributable to remote purchase, otherwise known as "Card-not-present" fraud, which accounted for ** percent of credit and debit card fraud as of 2029. Lost or stolen cards accounted for a further ** percent of card fraud.

Analysis of ‘Credit Card Dataset for Clustering’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/arjunbhasin2013/ccdata on 12 November 2021.

--- Dataset description provided by original source is as follows ---

This case requires to develop a customer segmentation to define marketing strategy. The sample Dataset summarizes the usage behavior of about 9000 active credit card holders during the last 6 months. The file is at a customer level with 18 behavioral variables.

Following is the Data Dictionary for Credit Card dataset :-

CUST_ID : Identification of Credit Card holder (Categorical) BALANCE : Balance amount left in their account to make purchases ( BALANCE_FREQUENCY : How frequently the Balance is updated, score between 0 and 1 (1 = frequently updated, 0 = not frequently updated) PURCHASES : Amount of purchases made from account ONEOFF_PURCHASES : Maximum purchase amount done in one-go INSTALLMENTS_PURCHASES : Amount of purchase done in installment CASH_ADVANCE : Cash in advance given by the user PURCHASES_FREQUENCY : How frequently the Purchases are being made, score between 0 and 1 (1 = frequently purchased, 0 = not frequently purchased) ONEOFFPURCHASESFREQUENCY : How frequently Purchases are happening in one-go (1 = frequently purchased, 0 = not frequently purchased) PURCHASESINSTALLMENTSFREQUENCY : How frequently purchases in installments are being done (1 = frequently done, 0 = not frequently done) CASHADVANCEFREQUENCY : How frequently the cash in advance being paid CASHADVANCETRX : Number of Transactions made with "Cash in Advanced" PURCHASES_TRX : Numbe of purchase transactions made CREDIT_LIMIT : Limit of Credit Card for user PAYMENTS : Amount of Payment done by user MINIMUM_PAYMENTS : Minimum amount of payments made by user PRCFULLPAYMENT : Percent of full payment paid by user TENURE : Tenure of credit card service for user

--- Original source retains full ownership of the source dataset ---

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Mobile Card Reader Market Size 2024-2028

The mobile card reader market size is forecast to increase by USD 28.8 billion at a CAGR of 25.2% between 2023 and 2028.

The market is witnessing significant growth, driven by the increasing adoption of contactless payments and the emergence of near field communication (NFC) technology. These trends enable seamless, on-the-go transactions, catering to the growing demand for convenience and flexibility in financial transactions. However, the market faces challenges as well. High operating and maintenance costs of Point of Sale (PoS) terminals can hinder small businesses from adopting mobile card readers. Furthermore, regulatory hurdles impact adoption in certain regions, necessitating compliance with various data security and privacy regulations. To capitalize on market opportunities and navigate challenges effectively, companies must focus on offering cost-effective solutions, ensuring regulatory compliance, and enhancing the security features of their mobile card readers. By addressing these challenges and leveraging the market's growth drivers, players can position themselves for long-term success in the market.

What will be the Size of the Mobile Card Reader Market during the forecast period?

Request Free SampleThe market is experiencing significant advancements in payment security and technology. Integrated payments, secure data transmission, and fraud prevention are key priorities for merchants and consumers alike. Two-factor authentication and biometric authentication are becoming standard payment security solutions. Payment industry regulations mandate stringent security measures to protect sensitive data. The average ticket size and transaction volume continue to increase, necessitating faster payment processing solutions. Merchant services and payment gateway integration are essential for omni-channel payments and seamless customer experience. Payment processing agreements and transaction time are critical factors in merchant adoption of payment solutions. Cloud-based payments and payment processing solutions enable merchants to accept payments anywhere, anytime. Payment acceptance rates are improving due to the convenience and flexibility of mobile payment solutions. Payment industry standards and payment processing speed are crucial for maintaining customer trust and loyalty. POS systems and payment terminals require robust mobile device security to protect against cyber threats. Payment innovation, such as payment technology advancements, is driving the market forward. Data protection and payment acceptance solutions are essential for merchants to stay competitive in the ever-evolving payment landscape.

How is this Mobile Card Reader Industry segmented?

The mobile card reader industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments. ApplicationChip and pinNear field communicationMagnetic stripeEnd-userLarge enterprisesMSMEsGeographyNorth AmericaUSEuropeUKAPACChinaIndiaRest of World (ROW)

By Application Insights

The chip and pin segment is estimated to witness significant growth during the forecast period.Chip and pin technology, a secure payment method utilizing microchips and personal identification numbers (PINs), has gained significant traction in the global market. Originally implemented in the UK to combat escalating fraud on lost or stolen cards, this technology is now adopted in numerous countries, including the US, the UK, and India. The technology embedded in credit and debit cards, this microchip securely stores user information, such as cardholder name, account number, and expiration date. Upon transaction initiation, the chip reads this data and requests the user to input their 4-digit PIN for authorization. Beyond chip and pin, the market encompasses various entities shaping its dynamics. Payment analytics facilitate businesses in gaining valuable insights from transaction data. Mobile ticketing simplifies the process of purchasing and managing tickets for events or transportation via mobile devices. Mobile app integration streamlines business operations, enabling seamless transactions through customized applications. Payment security is a top priority, with data encryption, real-time processing, and fraud detection ensuring secure transactions. Mobile workforce and field services benefit from mobile card readers, allowing for on-the-go transactions and inventory management. Financial services and online ordering integrate mobile payments for convenience and efficiency. Customer loyalty programs, point of sale, and payment processing fees are essential components, with secure Payment Gateways and mobile commerce offering real-time processing and receipt printing. The hospitality industry and retail sector leverage mobi