100+ datasets found
  1. BigQuery Fintech Dataset

    • kaggle.com
    Updated Aug 17, 2024
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    Mustafa Keser (2024). BigQuery Fintech Dataset [Dataset]. https://www.kaggle.com/datasets/mustafakeser4/bigquery-fintech-dataset
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 17, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Mustafa Keser
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    Dataset: cloud-training-demos.fintech

    This dataset, hosted on BigQuery, is designed for financial technology (fintech) training and analysis. It comprises six interconnected tables, each providing detailed insights into various aspects of customer loans, loan purposes, and regional distributions. The dataset is ideal for practicing SQL queries, building data models, and conducting financial analytics.

    Tables:

    1. customer:
      Contains records of individual customers, including demographic details and unique customer IDs. This table serves as a primary reference for analyzing customer behavior and loan distribution.

    2. loan:
      Includes detailed information about each loan issued, such as the loan amount, interest rate, and tenure. The table is crucial for analyzing lending patterns and financial outcomes.

    3. loan_count_by_year:
      Provides aggregated loan data by year, offering insights into yearly lending trends. This table helps in understanding the temporal dynamics of loan issuance.

    4. loan_purposes:
      Lists various reasons or purposes for which loans were issued, along with corresponding loan counts. This data can be used to analyze customer needs and market demands.

    5. loan_with_region:
      Combines loan data with regional information, allowing for geographical analysis of lending activities. This table is key for regional market analysis and understanding how loan distribution varies across different areas.

    6. state_region:
      Maps state names to their respective regions, enabling a more granular geographical analysis when combined with other tables in the dataset.

    Use Cases:

    • Customer Segmentation: Analyze customer data to identify distinct segments based on demographics and loan behaviors.
    • Loan Analysis: Explore loan issuance patterns, interest rates, and purposes to uncover trends and insights.
    • Regional Analysis: Combine loan and region data to understand how loan distributions vary by geography.
    • Temporal Trends: Utilize the loan_count_by_year table to observe how lending patterns evolve over time.

    This dataset is ideal for those looking to enhance their skills in SQL, financial data analysis, and BigQuery, providing a comprehensive foundation for fintech-related projects and case studies.

  2. U.S. FinTech users opinions on financial data sharing with online services...

    • statista.com
    Updated Jul 29, 2025
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    Statista (2025). U.S. FinTech users opinions on financial data sharing with online services 2025 [Dataset]. https://www.statista.com/statistics/1619137/us-fintech-users-opinion-on-financial-info-sharing-by-generation/
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    Dataset updated
    Jul 29, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jun 20, 2025 - Jun 24, 2025
    Area covered
    United States
    Description

    According to a June 2025 survey among FinTech users in the United States, roughly seven in 10 respondents expressed worries that financial data sharing restrictions would limit their options. Additionally, 79 percent of respondents said the government should play an active role in protecting consumer access from interference by big banks.

  3. a

    FinTech Acquisitions Database

    • acquirezy.com
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    Acquirezy, FinTech Acquisitions Database [Dataset]. https://acquirezy.com/acquisitions/industry/fintech
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    Dataset authored and provided by
    Acquirezy
    Description

    Comprehensive database of mergers and acquisitions in the FinTech industry

  4. d

    Data from: Global Fintech Market Dataset

    • decipherzone.com
    csv
    Updated Sep 22, 2025
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    Decipher Zone (2025). Global Fintech Market Dataset [Dataset]. https://www.decipherzone.com/blog-detail/fintech-software-development
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    csvAvailable download formats
    Dataset updated
    Sep 22, 2025
    Dataset authored and provided by
    Decipher Zone
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Dataset of fintech market growth showing $44.7B funding in H1 2025, projected to reach USD 394.88B in 2025 and USD 1,126.64B by 2032 at a CAGR of 16.2%.

  5. F

    Financial Database Report

    • marketreportanalytics.com
    doc, pdf, ppt
    Updated Apr 10, 2025
    + more versions
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    Market Report Analytics (2025). Financial Database Report [Dataset]. https://www.marketreportanalytics.com/reports/financial-database-75305
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    pdf, ppt, docAvailable download formats
    Dataset updated
    Apr 10, 2025
    Dataset authored and provided by
    Market Report Analytics
    License

    https://www.marketreportanalytics.com/privacy-policyhttps://www.marketreportanalytics.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The global financial database market is experiencing robust growth, driven by increasing demand for real-time data and advanced analytics across various sectors. The market, estimated at $15 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 8% from 2025 to 2033, reaching approximately $28 billion by 2033. This expansion is fueled by several key factors: the proliferation of algorithmic trading and quantitative analysis necessitating high-frequency data feeds; the growing adoption of cloud-based solutions enhancing accessibility and scalability; and the increasing regulatory scrutiny demanding robust and reliable financial data for compliance purposes. The market segmentation reveals a strong preference for real-time databases across both personal and commercial applications, reflecting the time-sensitive nature of financial decisions. Key players like Bloomberg, Refinitiv (formerly Thomson Reuters), and FactSet maintain significant market share due to their established brand reputation and comprehensive data offerings. However, the emergence of innovative fintech companies and the increasing availability of open-source data platforms are expected to intensify competition and foster market disruption. The geographical distribution of the market reveals North America as the dominant region, followed by Europe and Asia-Pacific. However, the Asia-Pacific region is poised for significant growth, driven by expanding financial markets in countries like China and India. While the market faces restraints such as data security concerns, increasing data costs, and complexities in data integration, the overall trend points toward sustained expansion. The continuous development of sophisticated analytical tools and the growing need for data-driven decision-making will continue to drive the adoption of financial databases across various user segments and geographies, shaping the competitive landscape in the coming years.

  6. c

    Fintech Market is Growing at a CAGR of 19.20% from 2024 to 2031.

    • cognitivemarketresearch.com
    pdf,excel,csv,ppt
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    Cognitive Market Research, Fintech Market is Growing at a CAGR of 19.20% from 2024 to 2031. [Dataset]. https://www.cognitivemarketresearch.com/fintech-market-report
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    pdf,excel,csv,pptAvailable download formats
    Dataset authored and provided by
    Cognitive Market Research
    License

    https://www.cognitivemarketresearch.com/privacy-policyhttps://www.cognitivemarketresearch.com/privacy-policy

    Time period covered
    2021 - 2033
    Area covered
    Global
    Description

    According to Cognitive Market Research, the global fintech market size is USD 251421.2 million in 2024 and will expand at a compound annual growth rate (CAGR) of 19.20% from 2024 to 2031.

    North America held the major market of more than 40% of the global revenue with a market size of USD 100568.48 million in 2024 and will grow at a compound annual growth rate (CAGR) of 17.4% from 2024 to 2031.
    Europe accounted for a share of over 30% of the global market size of USD 75426.36 million.
    Asia Pacific held the market of around 23% of the global revenue with a market size of USD 57826.88 million in 2024 and will grow at a compound annual growth rate (CAGR) of 21.2%% from 2024 to 2031.
    Latin America's market will have more than 5% of the global revenue with a market size of USD 12571.06 million in 2024 and will grow at a compound annual growth rate (CAGR) of 18.6%% from 2024 to 2031.
    Middle East and Africa held the major market of around 2% of the global revenue with a market size of USD 5028.42 million in 2024 and will grow at a compound annual growth rate (CAGR) of 18.9%% from 2024 to 2031.
    The regtech sector held the highest fintech market revenue share in 2024.
    

    Market Dynamics of FinTech Market

    Key Drivers of FinTech Market

    Adoption of Cloud Computing Technology in FinTech Services to Provide Viable Market Output: The fintech market encompasses innovative technologies that disrupt traditional financial services, offering efficient and convenient solutions to consumers and businesses. With the adoption of cloud computing technology, fintech services benefit from scalable infrastructure, enhanced data security, and improved accessibility. Cloud-based fintech platforms enable seamless integration, real-time data processing, and cost-effective operations, driving efficiency and innovation in areas such as payments, lending, wealth management, and insurance, ultimately transforming the financial landscape.

    For instance, in September 2023, Finastra launched compliance-as-a-service, an end-to-end solution for banks operating in the US and Europe. This solution was launched on Microsoft Azure for instant bank payment.

    (Source: https://www.finastra.com/press-media/finastra-launches-compliance-service-help-banks-combat-financial-crime-instant-payments )

    Various Strategies Adopted by Key Players to Propel Market Growth: The fintech market encompasses various financial technologies that leverage digital innovation to enhance and streamline financial services. Key players in this dynamic sector employ diverse strategies to stay competitive. These include embracing blockchain technology for secure transactions, leveraging artificial intelligence and machine learning for personalized financial recommendations, implementing mobile payment solutions for convenience, and partnering with traditional financial institutions to expand market reach and access to services.

    For instance, in March 2022, Envestnet partnered up with Productfy, a developer of a business-to-business FinTech platform. With this collaboration, FinTech creators using Productfy's platform would have direct access to Envestnet via a single interface.

    (Source: https://www.yodlee.com/envestnet-yodlee-and-productfy-enter-partnership-offer-single-technology-platform-early-stage )

    Key Restraint Factors Of FinTech Market

    Issues Related to Data Privacy and Security Concerns to Restrict Market Growth: One significant restraint in the fintech market is the pervasive concern surrounding data privacy and security. The increasing reliance on digital financial services has escalated the risk of data breaches, identity theft, and unauthorized access to sensitive information. Regulatory compliance and adherence to stringent data protection laws pose challenges for fintech firms, impacting consumer trust and hindering the widespread adoption of innovative financial technologies.

    Key Trends Factors Of FinTech Market

    The Emergence of Embedded Finance and Banking-as-a-Service (BaaS): A significant trend within the FinTech sector is the emergence of embedded finance, which involves the seamless integration of financial services such as payments, lending, and insurance into non-financial platforms like e-commerce sites, ride-hailing applications, and ERP systems. This phenomenon is facilitated by Banking-as-a-Service (BaaS) models and APIs that enable third-party platform...

  7. w

    Global Financial Inclusion (Global Findex) Database 2017 - Pakistan

    • microdata.worldbank.org
    • catalog.ihsn.org
    • +1more
    Updated Nov 1, 2018
    + more versions
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    Development Research Group, Finance and Private Sector Development Unit (2018). Global Financial Inclusion (Global Findex) Database 2017 - Pakistan [Dataset]. https://microdata.worldbank.org/index.php/catalog/3308
    Explore at:
    Dataset updated
    Nov 1, 2018
    Dataset authored and provided by
    Development Research Group, Finance and Private Sector Development Unit
    Time period covered
    2017
    Area covered
    Pakistan
    Description

    Abstract

    Financial inclusion is critical in reducing poverty and achieving inclusive economic growth. When people can participate in the financial system, they are better able to start and expand businesses, invest in their children’s education, and absorb financial shocks. Yet prior to 2011, little was known about the extent of financial inclusion and the degree to which such groups as the poor, women, and rural residents were excluded from formal financial systems.

    By collecting detailed indicators about how adults around the world manage their day-to-day finances, the Global Findex allows policy makers, researchers, businesses, and development practitioners to track how the use of financial services has changed over time. The database can also be used to identify gaps in access to the formal financial system and design policies to expand financial inclusion.

    Geographic coverage

    National coverage

    Analysis unit

    Individuals

    Universe

    The target population is the civilian, non-institutionalized population 15 years and above.

    Kind of data

    Observation data/ratings [obs]

    Sampling procedure

    The indicators in the 2017 Global Findex database are drawn from survey data covering almost 150,000 people in 144 economies-representing more than 97 percent of the world's population (see Table A.1 of the Global Findex Database 2017 Report for a list of the economies included). The survey was carried out over the 2017 calendar year by Gallup, Inc., as part of its Gallup World Poll, which since 2005 has annually conducted surveys of approximately 1,000 people in each of more than 160 economies and in over 150 languages, using randomly selected, nationally representative samples. The target population is the entire civilian, noninstitutionalized population age 15 and above. Interview procedure Surveys are conducted face to face in economies where telephone coverage represents less than 80 percent of the population or where this is the customary methodology. In most economies the fieldwork is completed in two to four weeks.

    In economies where face-to-face surveys are conducted, the first stage of sampling is the identification of primary sampling units. These units are stratified by population size, geography, or both, and clustering is achieved through one or more stages of sampling. Where population information is available, sample selection is based on probabilities proportional to population size; otherwise, simple random sampling is used. Random route procedures are used to select sampled households. Unless an outright refusal occurs, interviewers make up to three attempts to survey the sampled household. To increase the probability of contact and completion, attempts are made at different times of the day and, where possible, on different days. If an interview cannot be obtained at the initial sampled household, a simple substitution method is used.

    Respondents are randomly selected within the selected households. Each eligible household member is listed and the handheld survey device randomly selects the household member to be interviewed. For paper surveys, the Kish grid method is used to select the respondent. In economies where cultural restrictions dictate gender matching, respondents are randomly selected from among all eligible adults of the interviewer's gender.

    In economies where telephone interviewing is employed, random digit dialing or a nationally representative list of phone numbers is used. In most economies where cell phone penetration is high, a dual sampling frame is used. Random selection of respondents is achieved by using either the latest birthday or household enumeration method. At least three attempts are made to reach a person in each household, spread over different days and times of day.

    The sample size was 1600.

    Mode of data collection

    Computer Assisted Personal Interview [capi]

    Research instrument

    The questionnaire was designed by the World Bank, in conjunction with a Technical Advisory Board composed of leading academics, practitioners, and policy makers in the field of financial inclusion. The Bill and Melinda Gates Foundation and Gallup Inc. also provided valuable input. The questionnaire was piloted in multiple countries, using focus groups, cognitive interviews, and field testing. The questionnaire is available in more than 140 languages upon request.

    Questions on cash on delivery, saving using an informal savings club or person outside the family, domestic remittances, and agricultural payments are only asked in developing economies and few other selected countries. The question on mobile money accounts was only asked in economies that were part of the Mobile Money for the Unbanked (MMU) database of the GSMA at the time the interviews were being held.

    Sampling error estimates

    Estimates of standard errors (which account for sampling error) vary by country and indicator. For country-specific margins of error, please refer to the Methodology section and corresponding table in Demirgüç-Kunt, Asli, Leora Klapper, Dorothe Singer, Saniya Ansar, and Jake Hess. 2018. The Global Findex Database 2017: Measuring Financial Inclusion and the Fintech Revolution. Washington, DC: World Bank

  8. Fintech Market Analysis, Size, and Forecast 2025-2029: North America (US and...

    • technavio.com
    pdf
    Updated Feb 15, 2025
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    Technavio (2025). Fintech Market Analysis, Size, and Forecast 2025-2029: North America (US and Canada), Europe (France, Germany, Italy, and UK), APAC (China, India, and Japan), South America (Brazil), and Rest of World (ROW) [Dataset]. https://www.technavio.com/report/fintech-market-analysis
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    pdfAvailable download formats
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    TechNavio
    Authors
    Technavio
    License

    https://www.technavio.com/content/privacy-noticehttps://www.technavio.com/content/privacy-notice

    Time period covered
    2025 - 2029
    Description

    Snapshot img

    Fintech Market Size 2025-2029

    The fintech market size is forecast to increase by USD 813.5 billion, at a CAGR of 32.5% between 2024 and 2029.

    The market is experiencing significant growth and transformation, driven primarily by the influence of digitalization. Traditional financial institutions are increasingly adopting digital technologies to streamline operations, enhance customer experience, and expand their reach. This shift is leading to increased competition and disruption in the financial services industry. However, the market is not without challenges. The growing popularity of fintech solutions has raised concerns around privacy and security of personal information. As more financial transactions move online, ensuring the protection of sensitive data becomes paramount. Companies must invest in robust cybersecurity measures to mitigate risks and build trust with their customers. Additionally, navigating regulatory complexities and maintaining compliance with evolving regulations is a significant challenge for fintech players. These obstacles require strategic planning and innovative solutions to capitalize on the market's potential while addressing the concerns of stakeholders. Companies seeking to succeed in this dynamic market must focus on delivering secure, user-friendly, and innovative fintech solutions to meet the evolving needs of consumers and businesses.

    What will be the Size of the Fintech Market during the forecast period?

    Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
    Request Free SampleThe market continues to evolve, with new technologies and applications emerging across various sectors. Open banking APIs enable seamless data sharing between financial institutions and third-party providers, revolutionizing account aggregation and investment management platforms. Regtech compliance solutions streamline regulatory reporting and KYC/AML procedures, while artificial intelligence (AI) and machine learning algorithms power advanced credit scoring models and fraud detection systems. Transaction processing is optimized through automated trading systems and mobile wallets, facilitating financial inclusion and microfinance solutions. Big data analytics and quantitative analysis tools provide valuable insights for portfolio optimization and risk management. Cybersecurity measures, including network security, data encryption, and biometric authentication, safeguard sensitive financial information. Regulatory frameworks and compliance audits ensure adherence to data privacy regulations and insurtech solutions. Peer-to-peer lending and digital lending platforms offer alternative financing options, while incident response planning and disaster recovery planning ensure business continuity. Vulnerability assessments and penetration testing fortify security protocols, and blockchain technology offers secure, decentralized transaction processing. Cloud computing solutions and wealth management tools streamline financial operations, while API security and risk management tools mitigate potential threats. Remittance services and algorithmic trading enable efficient cross-border transactions, and interoperability standards facilitate seamless data exchange between different platforms. Cryptocurrency integration and predictive analytics offer innovative solutions for the future of fintech.

    How is this Fintech Industry segmented?

    The fintech industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments. DeploymentOn-premisesCloudEnd-userBankingInsuranceSecuritiesOthersApplicationFraud monitoringKYC verificationCompliance and regulatory supportGeographyNorth AmericaUSCanadaEuropeFranceGermanyItalyUKAPACChinaIndiaJapanSouth AmericaBrazilRest of World (ROW)

    By Deployment Insights

    The on-premises segment is estimated to witness significant growth during the forecast period.The market encompasses a range of innovative technologies and services, including high-frequency trading, account aggregation, regtech compliance, compliance audits, artificial intelligence, regulatory reporting, investment management platforms, behavioral biometrics, credit scoring models, fraud detection systems, transaction processing, mobile wallets, microfinance solutions, quantitative analysis, financial inclusion, kyc/aml procedures, payment processing fees, portfolio optimization, cybersecurity measures, compliance training, peer-to-peer lending, vulnerability assessment, data analytics platforms, biometric authentication, disaster recovery planning, regulatory frameworks, data encryption, insurtech solutions, security protocols, customer onboarding, open banking APIs, underwriting processes, automated trading systems, penetration tes

  9. Value of investment in fintech worldwide 2019-2025, by region

    • statista.com
    Updated Aug 19, 2025
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    Statista (2025). Value of investment in fintech worldwide 2019-2025, by region [Dataset]. https://www.statista.com/statistics/412622/value-of-global-fintech-investment-by-region/
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    Dataset updated
    Aug 19, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    The global investment in fintech companies experienced a significant decline in 2024, with all observed regions showing decreased investment activity. The ******** maintained its position as the primary hub for fintech investment, attracting **** billion U.S. dollars. Investments in the EMEA (Europe, Middle East, and Africa) region totaled **** billion U.S. dollars, while the Asia-Pacific region received **** billion U.S. dollars in fintech funding. The global fintech investment activity reached in 2024 its lowest point since 2017. Quarterly trends reveal ongoing challenges The downward trajectory in fintech investments became apparent in early 2022 and continued throughout 2023 ad 2024. Even with a notable increase in the fourth quarter of 2024, global fintech funding had dwindled to **** billion U.S. dollars, a far cry from the peak of nearly *** billion U.S. dollars seen in the third quarter of 2019. Despite the overall decline, several fintech segments experienced increasing investment activity, with regtech and insurtech seeing the sharpest increases. Venture capital feels the pinch The fintech investment landscape in 2024 was dominated by M&A deals, which accounted for **** billion U.S. dollars of funding. Venture capital investments, while still substantial at **** billion U.S. dollars, saw a marked decrease from the ** billion U.S. dollars in 2022. This decline was not only in value but also in the number of investment deals, which fell from ***** to *****. Despite the challenges, the fintech sector continues to evolve, with companies like Stripe leading the U.S. market with a valuation of ** billion U.S. dollars, underscoring the enduring potential of innovative financial technologies.

  10. I

    Indonesia Fintech Asset

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Indonesia Fintech Asset [Dataset]. https://www.ceicdata.com/en/indonesia/fintech-asset/fintech-asset
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    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Aug 1, 2019 - Jul 1, 2020
    Area covered
    Indonesia
    Description

    Indonesia Fintech Asset data was reported at 3,252.338 IDR bn in Jul 2020. This records an increase from the previous number of 3,195.980 IDR bn for Jun 2020. Indonesia Fintech Asset data is updated monthly, averaging 3,020.623 IDR bn from Dec 2018 (Median) to Jul 2020, with 20 observations. The data reached an all-time high of 3,686.850 IDR bn in May 2019 and a record low of 1,549.123 IDR bn in Dec 2018. Indonesia Fintech Asset data remains active status in CEIC and is reported by Indonesia Financial Services Authority. The data is categorized under Indonesia Premium Database’s Banking Sector – Table ID.KBA001: Fintech Asset.

  11. UK Financial Fraud Data in Fintech Sector

    • kaggle.com
    zip
    Updated Nov 27, 2023
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    peter mushemi (2023). UK Financial Fraud Data in Fintech Sector [Dataset]. https://www.kaggle.com/datasets/petermushemi/uk-financial-fraud-data-in-fintech-sector
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    zip(87577999 bytes)Available download formats
    Dataset updated
    Nov 27, 2023
    Authors
    peter mushemi
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    United Kingdom
    Description

    Dataset

    This dataset was created by peter mushemi

    Released under MIT

    Contents

  12. G

    FinTech Climate Data API Market Research Report 2033

    • growthmarketreports.com
    csv, pdf, pptx
    Updated Aug 4, 2025
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    Growth Market Reports (2025). FinTech Climate Data API Market Research Report 2033 [Dataset]. https://growthmarketreports.com/report/fintech-climate-data-api-market
    Explore at:
    csv, pptx, pdfAvailable download formats
    Dataset updated
    Aug 4, 2025
    Dataset authored and provided by
    Growth Market Reports
    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    FinTech Climate Data API Market Outlook



    According to our latest research, the FinTech Climate Data API market size reached USD 1.23 billion globally in 2024, demonstrating robust momentum as financial institutions increasingly integrate climate data into their operations. The market is projected to grow at a CAGR of 22.7% from 2025 to 2033, reaching a forecasted value of USD 9.94 billion by 2033. This rapid expansion is driven by mounting regulatory pressures, rising investor demand for climate transparency, and the urgent need for financial entities to assess climate-related risks and opportunities.




    A primary growth driver for the FinTech Climate Data API market is the global shift towards sustainable finance and the intensifying focus on environmental, social, and governance (ESG) criteria. Financial institutions are under increasing pressure from regulators and investors to quantify and disclose climate-related risks embedded in their portfolios. This has led to a surge in demand for sophisticated climate data APIs that can deliver real-time, granular, and actionable insights. These APIs enable banks, asset managers, and insurance companies to integrate climate risk analytics directly into their existing risk assessment, investment analysis, and compliance workflows. As a result, the market is witnessing accelerated adoption, particularly among organizations aiming to align with international frameworks such as the Task Force on Climate-related Financial Disclosures (TCFD) and the European Union’s Sustainable Finance Disclosure Regulation (SFDR).




    Another significant factor propelling the FinTech Climate Data API market is the rapid digital transformation within the financial services sector. The proliferation of cloud computing, artificial intelligence, and big data analytics has enabled the development of advanced climate data solutions that are scalable, interoperable, and easily integrated via API infrastructure. Financial technology (FinTech) companies are leveraging these capabilities to offer innovative services such as climate-adjusted portfolio management, carbon accounting, and scenario analysis. This technological evolution is lowering barriers to entry for smaller financial institutions and fintech startups, broadening the market’s user base and fostering a competitive ecosystem. Moreover, the growing collaboration between climate data providers and financial software vendors is catalyzing the creation of end-to-end solutions tailored to specific use cases across banking, asset management, and insurance.




    The increasing frequency and severity of climate-related events, such as floods, wildfires, and hurricanes, have heightened awareness of the financial risks associated with climate change. This has compelled financial institutions to seek more accurate and timely data to model potential impacts on asset values, loan portfolios, and insurance liabilities. The FinTech Climate Data API market is responding by offering APIs that aggregate and normalize data from diverse sources, including satellite imagery, meteorological data, and corporate emissions disclosures. By facilitating comprehensive risk modeling and scenario analysis, these APIs are becoming indispensable tools for financial decision-makers. The trend is particularly pronounced in developed markets, where regulatory frameworks and investor expectations are driving the integration of climate data into mainstream financial analysis.




    From a regional perspective, North America and Europe currently dominate the FinTech Climate Data API market, accounting for the largest share of global revenues. This leadership is attributed to the presence of major financial hubs, stringent regulatory requirements, and a high level of technological maturity. However, the Asia Pacific region is emerging as a key growth engine, supported by rapid fintech adoption, expanding financial markets, and increasing government initiatives to promote sustainable finance. Latin America and the Middle East & Africa, while still nascent, are expected to offer significant opportunities as awareness of climate risk grows and digital infrastructure improves. The regional landscape is thus characterized by a dynamic interplay of regulatory, technological, and market-driven factors shaping the adoption of climate data APIs.



  13. w

    Global Financial Inclusion (Global Findex) Database 2017 - Ethiopia

    • microdata.worldbank.org
    • catalog.ihsn.org
    Updated Oct 31, 2018
    + more versions
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    Development Research Group, Finance and Private Sector Development Unit (2018). Global Financial Inclusion (Global Findex) Database 2017 - Ethiopia [Dataset]. https://microdata.worldbank.org/index.php/catalog/3346
    Explore at:
    Dataset updated
    Oct 31, 2018
    Dataset authored and provided by
    Development Research Group, Finance and Private Sector Development Unit
    Time period covered
    2017
    Area covered
    Ethiopia
    Description

    Abstract

    Financial inclusion is critical in reducing poverty and achieving inclusive economic growth. When people can participate in the financial system, they are better able to start and expand businesses, invest in their children’s education, and absorb financial shocks. Yet prior to 2011, little was known about the extent of financial inclusion and the degree to which such groups as the poor, women, and rural residents were excluded from formal financial systems.

    By collecting detailed indicators about how adults around the world manage their day-to-day finances, the Global Findex allows policy makers, researchers, businesses, and development practitioners to track how the use of financial services has changed over time. The database can also be used to identify gaps in access to the formal financial system and design policies to expand financial inclusion.

    Geographic coverage

    National coverage.

    Analysis unit

    Individuals

    Universe

    The target population is the civilian, non-institutionalized population 15 years and above.

    Kind of data

    Observation data/ratings [obs]

    Sampling procedure

    The indicators in the 2017 Global Findex database are drawn from survey data covering almost 150,000 people in 144 economies-representing more than 97 percent of the world’s population (see table A.1 of the Global Findex Database 2017 Report for a list of the economies included). The survey was carried out over the 2017 calendar year by Gallup, Inc., as part of its Gallup World Poll, which since 2005 has annually conducted surveys of approximately 1,000 people in each of more than 160 economies and in over 150 languages, using randomly selected, nationally representative samples. The target population is the entire civilian, noninstitutionalized population age 15 and above. Interview procedure Surveys are conducted face to face in economies where telephone coverage represents less than 80 percent of the population or where this is the customary methodology. In most economies the fieldwork is completed in two to four weeks.

    In economies where face-to-face surveys are conducted, the first stage of sampling is the identification of primary sampling units. These units are stratified by population size, geography, or both, and clustering is achieved through one or more stages of sampling. Where population information is available, sample selection is based on probabilities proportional to population size; otherwise, simple random sampling is used. Random route procedures are used to select sampled households. Unless an outright refusal occurs, interviewers make up to three attempts to survey the sampled household. To increase the probability of contact and completion, attempts are made at different times of the day and, where possible, on different days. If an interview cannot be obtained at the initial sampled household, a simple substitution method is used.

    Respondents are randomly selected within the selected households. Each eligible household member is listed and the handheld survey device randomly selects the household member to be interviewed. For paper surveys, the Kish grid method is used to select the respondent. In economies where cultural restrictions dictate gender matching, respondents are randomly selected from among all eligible adults of the interviewer’s gender.

    In economies where telephone interviewing is employed, random digit dialing or a nationally representative list of phone numbers is used. In most economies where cell phone penetration is high, a dual sampling frame is used. Random selection of respondents is achieved by using either the latest birthday or household enumeration method. At least three attempts are made to reach a person in each household, spread over different days and times of day.

    The sample size was 1000.

    Mode of data collection

    Computer Assisted Personal Interview [capi]

    Research instrument

    The questionnaire was designed by the World Bank, in conjunction with a Technical Advisory Board composed of leading academics, practitioners, and policy makers in the field of financial inclusion. The Bill and Melinda Gates Foundation and Gallup Inc. also provided valuable input. The questionnaire was piloted in multiple countries, using focus groups, cognitive interviews, and field testing. The questionnaire is available in more than 140 languages upon request.

    Questions on cash on delivery, saving using an informal savings club or person outside the family, domestic remittances, and agricultural payments are only asked in developing economies and few other selected countries. The question on mobile money accounts was only asked in economies that were part of the Mobile Money for the Unbanked (MMU) database of the GSMA at the time the interviews were being held.

    Sampling error estimates

    Estimates of standard errors (which account for sampling error) vary by country and indicator. For country-specific margins of error, please refer to the Methodology section and corresponding table in Demirgüç-Kunt, Asli, Leora Klapper, Dorothe Singer, Saniya Ansar, and Jake Hess. 2018. The Global Findex Database 2017: Measuring Financial Inclusion and the Fintech Revolution. Washington, DC: World Bank

  14. German FinTech Companies

    • kaggle.com
    zip
    Updated Jul 24, 2023
    + more versions
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    A Legacy Grandmaster! (2023). German FinTech Companies [Dataset]. https://www.kaggle.com/datasets/desalegngeb/german-fintech-companies
    Explore at:
    zip(85882 bytes)Available download formats
    Dataset updated
    Jul 24, 2023
    Authors
    A Legacy Grandmaster!
    Area covered
    Germany
    Description

    "This dataset comprises a hand collected market overview of the FinTech market in Germany as of December 2021. It includes various verified properties of 978 unique firms, which can be attributed to the financial technology sector and are operating in Germany. Each observation represents one company with 24 variables, including name, address, legal form, founders with corresponding LinkedIn accounts, register number or company-ID, attribution to FinTech segments and subsegments, bank cooperation, URL address, local court, former name, operating status. The dataset contains established companies as well as start-ups. Since the market in Germany and the nature of FinTech companies itself are dynamic as well as changing there is no complete overview of the market. Furthermore, the total number, the operating status as well as specific properties of FinTechs cannot be found in one accumulated data base. The dataset contains valuable information for researchers, practitioners as well as for supervising authorities. We provide the description of variables as well as a taxonomy for categorizing FinTechs. The nature of the dataset enables further cross-sectional and the possibility of longitudinal analyses of the complete market. The aim of the collection procedure was to find and identify all relevant FinTechs operating in Germany with a structured approach. Different databases and websites (see below) were used to obtain an overview of the market. The dataset was repeatedly updated and verified throughout the years within this process. An association to the segment of operations was conducted. Through structured Google searches the operating status was checked."

    Citation:

    Dorfleitner, Gregor; Kreppmeier, Julia; Laschinger, Ralf (2023), “Dataset of German FinTech companies: A market overview”, Mendeley Data, V3, doi: 10.17632/438ytjyzxk.3

    License:

    CC BY 4.0

    Image source:

    https://paymentandbanking.com/deutsche-fintech-startups-mindmap/

    Data Dictionary

    Variable (Type): Description 1. ID (Numeric): Unique identifier for each FinTech 2. Name (Character): Name of each FinTech 3. Status (Binary): FinTech is active up until 31 December 2021 4. Original German (Binary): 1 - FinTech is founded originally in Germany; 0: just operating in Germany 5. Founding Year (Numeric): Year the FinTech was founded 6. Founder (Character) : Name of the founder or founding company, either name of a natural person or company name, if several founders separated by Founder 7. LinkedIn ( HTML): Link to the LinkedIn Profile, separated by 8. Legal Name (Character): Name of the FinTech according to the company register 9. Legal Form (Character): Legal form of the FinTech according to the company register 10. Street (Character): Street name of the FinTech according to the company register 11. Postal Code Numeric Postal code of the FinTech according to the company register 12. City (Character): City of the FinTech according to the company register 13. Country (Character): Country of the FinTech according to the company register 14. Register Number /Company ID / LEI (Character): Register number/company ID/LEI of the FinTech 15. Segment (Categorical): Association to an operating segment according to Fig. 1 below and description below (according to Dorfleitner et al., 2017) 16. Subsegment (Categorical): Association to an operating subsegment according to Fig. 1 below and description below (according to Dorfleitner et al., 2017) 17. Bank Cooperation (Binary): 1 - There exists a cooperation with a private/commercial bank; 0 - otherwise 18. Homepage (HTML): Homepage of the FinTech 19. E-Mail (Character) E-Mail address of the FinTech 20. Insolvency(Binary): 1 - FinTech is undergoing insolvency proceedings; 0 -otherwise 21. Liquidation (Binary) 1 - FinTech has been liquidated; 0 - otherwise 22. Date of Inactivity (Date): Date of cessation or date of opening insolvency proceeding or date of liquidation 23. Local court (Character): Local court in Germany of the FinTech, if the company is resident in Germany 24. Former Name (Character): Former name(s) of the FinTech, if the company was renamed

    https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F5430373%2F80d6fb41646ee4cb0c7c6dcb2b7f6f74%2FFinTech_Taxonomy.PNG?generation=1687528841089889&alt=media" alt="">

  15. FinTech Investment Market Growth, Size, Trends, Analysis Report by Type,...

    • technavio.com
    pdf
    Updated Aug 20, 2021
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    Technavio (2021). FinTech Investment Market Growth, Size, Trends, Analysis Report by Type, Application, Region and Segment Forecast 2021-2025 [Dataset]. https://www.technavio.com/report/fintech-investment-market-industry-analysis
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Aug 20, 2021
    Dataset provided by
    TechNavio
    Authors
    Technavio
    License

    https://www.technavio.com/content/privacy-noticehttps://www.technavio.com/content/privacy-notice

    Time period covered
    2021 - 2025
    Description

    Snapshot img

    The fintech investment market share is expected to increase by USD 54.56 billion from 2020 to 2025, and the market’s growth momentum will accelerate at a CAGR of 7.76%.

    This fintech investment market research report provides valuable insights on the post COVID-19 impact on the market, which will help companies evaluate their business approaches. Furthermore, this report extensively covers fintech investment market segmentations by investment area (digital payments, insurance, and others) and geography (APAC, North America, Europe, South America, and MEA). The fintech investment market report also offers information on several market vendors, including Ant Technology Group Co. Ltd., Avant LLC, Berkshire Hathaway Inc., Facebook Inc., Funding Circle Holdings Plc, KPMG International Ltd., Oscar Insurance Corp., SoftBank Group Corp., Wealthfront Corp., and ZhongAn Online Property Insurance Co. Ltd. among others.

    What will the FinTech Investment Market Size be During the Forecast Period?

    Download the Free Report Sample to Unlock the FinTech Investment Market Size for the Forecast Period and Other Important Statistics

    FinTech Investment Market: Key Drivers, Trends, and Challenges

    Based on our research output, there has been a negative impact on the market growth during and post COVID-19 era. The disintermediation of banking services is notably driving the fintech investment market growth, although factors such as privacy and security concerns may impede market growth. Our research analysts have studied the historical data and deduced the key market drivers and the COVID-19 pandemic impact on the fintech investment industry. The holistic analysis of the drivers will help in deducing end goals and refining marketing strategies to gain a competitive edge.

    Key FinTech Investment Market Driver

    One of the key factors driving the fintech investment market growth is disintermediation of banking services. It is estimated that the top banking institutions may develop a strategic approach, such as the development of smartphone payment technologies, to deal with competition from fintech platforms during the forecast period. Equity investment searches have entered the online domain where a huge number of venture capitalists are investing in the market. Angel List is operating as a main business angel network, while other providers are helping to clear investment payments (known as equity crowdfunding). Bitcoin is a virtual currency and a payment system that hinges on software and online transactions. It represents an innovative and secure cryptocurrency that can be bought with traditional money. Transactions that take place in bitcoin currency operate through peer-to-peer technology. Companies such as Microsoft are investing in virtual currencies, whereas other firms like Apple and Google are concentrating on wallets that allow online transactions. Such factors of adoption of blockchain technologies and digital wallets are expected to drive the market in focus during the forecast period.

    Key FinTech Investment Market Trend

    Innovation and development is the major trend influencing the fintech investment market growth. Fintech startups in New York, Silicon Valley, London, and Australia are registering steady business progress. Their customers are opting for tech-enabled payments, currency exchanges, crowdfunding, online lending, and wealth-management services. This is helping fintech startup firms to gain the upper hand over traditional banking systems and other firms in the financial system. In 2011, the fintech industry did not attract much investment, as in the wake of the 2008 global economic crisis, financial institutions focused on cost-cutting measures to maintain profit margins. There was less attention on investments or embracing new and innovative technologies. However, the current market scenario presents a better picture, with the industry launching new technological products. Major banks are helping to incubate, invest in, or partner with fintech companies. This trend indicates that financial institutions are embracing digital innovations in a bid to strengthen their brand values.

    Key FinTech Investment Market Challenge

    Privacy and security concerns is one of the key challenges hindering the fintech investment market growth. Payment service providers gather personal data and information about customers so that they can customize advertising messages and target key audiences. Such practices help service providers collect data on customer profiling, behavior, and data mining. However, the indiscriminate use of this data can infringe on customer privacy. Location-based services also have privacy concerns because such offerings and services operate on the basis of real-time, geo-based information. The data collected from smartphone devices is processed and stored by vendors and so remains open to abuse. As smartphones are used in monetary transactions in

  16. I

    Indonesia Number of Fintech Establishments: Conventional: Registered

    • ceicdata.com
    + more versions
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    CEICdata.com, Indonesia Number of Fintech Establishments: Conventional: Registered [Dataset]. https://www.ceicdata.com/en/indonesia/number-of-fintech-establishments/number-of-fintech-establishments-conventional-registered
    Explore at:
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Oct 1, 2019 - Jul 1, 2020
    Area covered
    Indonesia
    Description

    Indonesia Number of Fintech Establishments: Conventional: Registered data was reported at 116.000 Unit in Jul 2020. This stayed constant from the previous number of 116.000 Unit for Jun 2020. Indonesia Number of Fintech Establishments: Conventional: Registered data is updated monthly, averaging 122.000 Unit from Oct 2019 (Median) to Jul 2020, with 10 observations. The data reached an all-time high of 128.000 Unit in Jan 2020 and a record low of 116.000 Unit in Jul 2020. Indonesia Number of Fintech Establishments: Conventional: Registered data remains active status in CEIC and is reported by Indonesia Financial Services Authority. The data is categorized under Indonesia Premium Database’s Banking Sector – Table ID.KBA003: Number of Fintech Establishments.

  17. Fintech Software Market Analysis, Size, and Forecast 2025-2029: North...

    • technavio.com
    pdf
    Updated Apr 11, 2025
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    Technavio (2025). Fintech Software Market Analysis, Size, and Forecast 2025-2029: North America (US and Canada), APAC (China, India, Japan, South Korea), Europe (France, Germany, Italy, UK), South America , and Middle East and Africa [Dataset]. https://www.technavio.com/report/fintech-software-market-industry-analysis
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Apr 11, 2025
    Dataset provided by
    TechNavio
    Authors
    Technavio
    License

    https://www.technavio.com/content/privacy-noticehttps://www.technavio.com/content/privacy-notice

    Time period covered
    2025 - 2029
    Area covered
    United States
    Description

    Snapshot img

    Fintech Software Market Size 2025-2029

    The fintech software market size is valued to increase USD 25.56 billion, at a CAGR of 8.2% from 2024 to 2029. Need to improve business efficiency will drive the fintech software market.

    Major Market Trends & Insights

    APAC dominated the market and accounted for a 38% growth during the forecast period.
    By Deployment - Cloud based segment was valued at USD 25.3 billion in 2023
    By End-user - Banking segment accounted for the largest market revenue share in 2023
    

    Market Size & Forecast

    Market Opportunities: USD 103.42 million
    Market Future Opportunities: USD 25555.90 million
    CAGR : 8.2%
    APAC: Largest market in 2023
    

    Market Summary

    The market represents a dynamic and continually evolving landscape, driven by the increasing adoption of advanced technologies and applications. Core technologies, such as artificial intelligence (AI) and machine learning (ML), are revolutionizing financial services by enabling more efficient business processes and enhanced customer experiences. Meanwhile, applications like robo-advisory, digital payments, and mobile banking are gaining significant traction, with the robo-advisory segment projected to account for over 30% of the total assets under management in the asset management industry by 2027. However, the market also faces challenges, including data privacy and security concerns, which necessitate robust compliance with regulations such as GDPR and CCPA. In the face of these evolving trends, service types like Software-as-a-Service (SaaS) and Platform-as-a-Service (PaaS) are increasingly popular, offering scalability and flexibility for businesses looking to improve their operational efficiency.

    What will be the Size of the Fintech Software Market during the forecast period?

    Get Key Insights on Market Forecast (PDF) Request Free Sample

    How is the Fintech Software Market Segmented and what are the key trends of market segmentation?

    The fintech software industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments. DeploymentCloud basedOn-premisesEnd-userBankingInsuranceSecuritiesServiceMoney transfer and paymentsSavings and investmentsDigital lending and lending marketplacesOnline insurance and insurance marketplacesOthersGeographyNorth AmericaUSCanadaEuropeFranceGermanyItalyUKAPACChinaIndiaJapanSouth KoreaRest of World (ROW)

    By Deployment Insights

    The cloud based segment is estimated to witness significant growth during the forecast period.

    In the dynamic the market, several trends are shaping its evolution. Blockchain technology is increasingly being adopted for secure transaction processing and data security, ensuring financial data encryption and kyc/aml compliance. Security protocols are being strengthened through machine learning algorithms and user authentication, safeguarding against fraud detection and credit scoring models. Algorithmic trading and personal financial management applications are gaining traction, offering real-time payments and investment management solutions. Open banking APIs enable peer-to-peer lending and account management, while regulatory technology streamlines compliance regulations. Software development lifecycle improvements facilitate customer onboarding and digital wallet integration. The market is expected to grow significantly, with transaction processing and portfolio management solutions witnessing a substantial increase. Insurtech integration and financial modeling are also becoming essential, driving the demand for api integration and loan origination systems. The use of data analytics dashboards and risk management tools is on the rise, providing valuable insights for businesses. Furthermore, the integration of cryptocurrency exchanges and payment gateways is expanding the market's reach. The adoption of cloud-based deployment models is growing, with 35% of businesses opting for this solution due to its flexibility and cost-effectiveness. By 2025, it is anticipated that 45% of the market will be dominated by cloud-based solutions. The future of the market holds immense potential, with ongoing advancements in technology and evolving business needs. These trends underscore the market's continuous growth and adaptability across various sectors.

    Request Free Sample

    The Cloud based segment was valued at USD 25.3 billion in 2019 and showed a gradual increase during the forecast period.

    Request Free Sample

    Regional Analysis

    APAC is estimated to contribute 38% to the growth of the global market during the forecast period.Technavio’s analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

    See How Fintech Software Market

  18. w

    Global Financial Inclusion (Global Findex) Database 2017 - Afghanistan,...

    • microdata.worldbank.org
    • catalog.ihsn.org
    • +1more
    Updated Jun 13, 2022
    + more versions
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    Development Research Group, Finance and Private Sector Development Unit (2022). Global Financial Inclusion (Global Findex) Database 2017 - Afghanistan, Albania, Algeria...and 133 more [Dataset]. https://microdata.worldbank.org/index.php/catalog/3324
    Explore at:
    Dataset updated
    Jun 13, 2022
    Dataset authored and provided by
    Development Research Group, Finance and Private Sector Development Unit
    Time period covered
    2017
    Area covered
    Albania, Algeria...and 133 more, Afghanistan
    Description

    Abstract

    Financial inclusion is critical in reducing poverty and achieving inclusive economic growth. When people can participate in the financial system, they are better able to start and expand businesses, invest in their children’s education, and absorb financial shocks. Yet prior to 2011, little was known about the extent of financial inclusion and the degree to which such groups as the poor, women, and rural residents were excluded from formal financial systems.

    By collecting detailed indicators about how adults around the world manage their day-to-day finances, the Global Findex allows policy makers, researchers, businesses, and development practitioners to track how the use of financial services has changed over time. The database can also be used to identify gaps in access to the formal financial system and design policies to expand financial inclusion.

    Geographic coverage

    See Methodology document for country-specific geographic coverage details.

    Universe

    The target population is the civilian, non-institutionalized population 15 years and above.

    Kind of data

    Observation data/ratings [obs]

    Sampling procedure

    The indicators in the 2017 Global Findex database are drawn from survey data covering almost 150,000 people in 144 economies-representing more than 97 percent of the world’s population (see Table A.1 of the Global Findex Database 2017 Report for a list of the economies included). The survey was carried out over the 2017 calendar year by Gallup, Inc., as part of its Gallup World Poll, which since 2005 has annually conducted surveys of approximately 1,000 people in each of more than 160 economies and in over 150 languages, using randomly selected, nationally representative samples. The target population is the entire civilian, noninstitutionalized population age 15 and above. Interview procedure Surveys are conducted face to face in economies where telephone coverage represents less than 80 percent of the population or where this is the customary methodology. In most economies the fieldwork is completed in two to four weeks.

    In economies where face-to-face surveys are conducted, the first stage of sampling is the identification of primary sampling units. These units are stratified by population size, geography, or both, and clustering is achieved through one or more stages of sampling. Where population information is available, sample selection is based on probabilities proportional to population size; otherwise, simple random sampling is used. Random route procedures are used to select sampled households. Unless an outright refusal occurs, interviewers make up to three attempts to survey the sampled household. To increase the probability of contact and completion, attempts are made at different times of the day and, where possible, on different days. If an interview cannot be obtained at the initial sampled household, a simple substitution method is used.

    Respondents are randomly selected within the selected households. Each eligible household member is listed and the handheld survey device randomly selects the household member to be interviewed. For paper surveys, the Kish grid method is used to select the respondent. In economies where cultural restrictions dictate gender matching, respondents are randomly selected from among all eligible adults of the interviewer’s gender.

    In economies where telephone interviewing is employed, random digit dialing or a nationally representative list of phone numbers is used. In most economies where cell phone penetration is high, a dual sampling frame is used. Random selection of respondents is achieved by using either the latest birthday or household enumeration method. At least three attempts are made to reach a person in each household, spread over different days and times of day.

    Mode of data collection

    Other [oth]

    Research instrument

    The questionnaire was designed by the World Bank, in conjunction with a Technical Advisory Board composed of leading academics, practitioners, and policy makers in the field of financial inclusion. The Bill and Melinda Gates Foundation and Gallup Inc. also provided valuable input. The questionnaire was piloted in multiple countries, using focus groups, cognitive interviews, and field testing. The questionnaire is available in more than 140 languages upon request.

    Questions on cash on delivery, saving using an informal savings club or person outside the family, domestic remittances, and agricultural payments are only asked in developing economies and few other selected countries. The question on mobile money accounts was only asked in economies that were part of the Mobile Money for the Unbanked (MMU) database of the GSMA at the time the interviews were being held.

    Sampling error estimates

    Estimates of standard errors (which account for sampling error) vary by country and indicator. For country-specific margins of error, please refer to the Methodology section and corresponding table in Demirgüç-Kunt, Asli, Leora Klapper, Dorothe Singer, Saniya Ansar, and Jake Hess. 2018. The Global Findex Database 2017: Measuring Financial Inclusion and the Fintech Revolution. Washington, DC: World Bank

  19. c

    The global financial technology fintech market size will be USD 345215.5...

    • cognitivemarketresearch.com
    pdf,excel,csv,ppt
    Updated Sep 15, 2025
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    Cognitive Market Research (2025). The global financial technology fintech market size will be USD 345215.5 million in 2024. [Dataset]. https://www.cognitivemarketresearch.com/financial-technology-fintech-market-report
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Sep 15, 2025
    Dataset authored and provided by
    Cognitive Market Research
    License

    https://www.cognitivemarketresearch.com/privacy-policyhttps://www.cognitivemarketresearch.com/privacy-policy

    Time period covered
    2021 - 2033
    Area covered
    Global
    Description

    According to Cognitive Market Research, the global financial technology fintech market size was USD 345215.5 million in 2024. It will expand at a compound annual growth rate (CAGR) of 17.20% 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 138086.20 million in 2024 and will grow at a compound annual growth rate (CAGR) of 15.4% from 2024 to 2031.
    Europe accounted for a market share of over 30% of the global revenue with a market size of USD 103564.65 million.
    Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 79399.57 million in 2024 and will grow at a compound annual growth rate (CAGR) of 19.2% from 2024 to 2031.
    Latin America had a market share of more than 5% of the global revenue with a market size of USD 17260.78 million in 2024 and will grow at a compound annual growth rate (CAGR) of 16.6% 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 6904.31 million in 2024 and will grow at a compound annual growth rate (CAGR) of 16.9% from 2024 to 2031.
    The blockchain category is the fastest-growing segment of the financial technology fintech industry.
    

    Market Dynamics of Financial Technology FinTech Market

    Key Drivers for Financial Technology FinTech Market

    Growing Adoption of Blockchain Technology for Secure Transactions Will Boost Market Growth: The increasing utilization of blockchain technology is propelling substantial expansion in the fintech sector by improving security, transparency, and efficiency in transactions. Its incorporation into payment systems, identity verification, and smart contracts is promoting innovation and fostering trust. Events such as FinovateFall 2024 underscore the growing interest within the industry, with prominent banks taking an active role.

    Increased Focus on Cybersecurity and Fraud Prevention Propels the Market Growth: The escalating threat of cyberattacks and fraud is prompting fintech firms to allocate resources towards sophisticated cybersecurity solutions such as encryption, biometrics, and AI-driven fraud detection. This heightened emphasis on security is cultivating trust in digital financial services and accelerating the growth of the market.

    Restraint Factor for the Financial Technology FinTech Market

    Security Concerns Regarding Data Breaches and Cyber-Attacks Hampers Market Growth: : Security issues such as data breaches and cyber-attacks impede the growth of FinTech by undermining consumer confidence and raising operational expenses. It is essential for FinTech companies to invest in robust cybersecurity measures to safeguard user information and uphold their reputation.

    Limited Adoption in Developing Regions: In low-income nations, the lack of healthcare infrastructure, restricted pathology services, and financial limitations obstruct the implementation of advanced imaging workstations, thereby delaying market entry.

    Trends In Financial Technology FinTech Market

    Expansion of Embedded Finance and Banking-as-a-Service (BaaS): Companies are progressively incorporating financial services into their platforms through embedded finance and BaaS models. This integration enables non-banking entities to provide payments, loans, or insurance within their applications, fostering the growth of FinTech.

    Emergence of Decentralized Finance (DeFi): DeFi platforms powered by blockchain technology are transforming conventional financial systems by facilitating peer-to-peer lending, trading, and investing without the need for intermediaries. This transparent and programmable financial infrastructure is increasingly appealing, especially to users who are tech-savvy and knowledgeable about cryptocurrency.

    Impact of Covid-19 on the Financial Technology FinTech Market

    The COVID-19 pandemic had a significant impact on the financial technology (FinTech) market. The sudden shift to digital solutions accelerated the adoption of online payments, mobile banking, and digital wallets as consumers avoided physical interactions. FinTech companies saw a surge in demand for contactless payments and e-commerce platforms. However, some firms faced challenges with disrupted operations, increased cybersecurity risks, and regulatory hurdles. The pandemic also highlighted the need for financial inclusion, driving growth in digital financial s...

  20. Fintech DATA

    • figshare.com
    csv
    Updated Nov 3, 2025
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    SUNAYNA KHURANA (2025). Fintech DATA [Dataset]. http://doi.org/10.6084/m9.figshare.30518174.v1
    Explore at:
    csvAvailable download formats
    Dataset updated
    Nov 3, 2025
    Dataset provided by
    Figsharehttp://figshare.com/
    figshare
    Authors
    SUNAYNA KHURANA
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Scopus dataset from 2000 to 2025

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Mustafa Keser (2024). BigQuery Fintech Dataset [Dataset]. https://www.kaggle.com/datasets/mustafakeser4/bigquery-fintech-dataset
Organization logo

BigQuery Fintech Dataset

Comprehensive fintech data for loan and customer analysis.

Explore at:
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Aug 17, 2024
Dataset provided by
Kagglehttp://kaggle.com/
Authors
Mustafa Keser
License

MIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically

Description

Dataset: cloud-training-demos.fintech

This dataset, hosted on BigQuery, is designed for financial technology (fintech) training and analysis. It comprises six interconnected tables, each providing detailed insights into various aspects of customer loans, loan purposes, and regional distributions. The dataset is ideal for practicing SQL queries, building data models, and conducting financial analytics.

Tables:

  1. customer:
    Contains records of individual customers, including demographic details and unique customer IDs. This table serves as a primary reference for analyzing customer behavior and loan distribution.

  2. loan:
    Includes detailed information about each loan issued, such as the loan amount, interest rate, and tenure. The table is crucial for analyzing lending patterns and financial outcomes.

  3. loan_count_by_year:
    Provides aggregated loan data by year, offering insights into yearly lending trends. This table helps in understanding the temporal dynamics of loan issuance.

  4. loan_purposes:
    Lists various reasons or purposes for which loans were issued, along with corresponding loan counts. This data can be used to analyze customer needs and market demands.

  5. loan_with_region:
    Combines loan data with regional information, allowing for geographical analysis of lending activities. This table is key for regional market analysis and understanding how loan distribution varies across different areas.

  6. state_region:
    Maps state names to their respective regions, enabling a more granular geographical analysis when combined with other tables in the dataset.

Use Cases:

  • Customer Segmentation: Analyze customer data to identify distinct segments based on demographics and loan behaviors.
  • Loan Analysis: Explore loan issuance patterns, interest rates, and purposes to uncover trends and insights.
  • Regional Analysis: Combine loan and region data to understand how loan distributions vary by geography.
  • Temporal Trends: Utilize the loan_count_by_year table to observe how lending patterns evolve over time.

This dataset is ideal for those looking to enhance their skills in SQL, financial data analysis, and BigQuery, providing a comprehensive foundation for fintech-related projects and case studies.

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