CSI: Personal: Expected Financial Situation: Next Yr: Worse data was reported at 11.000 % in May 2018. This records an increase from the previous number of 9.000 % for Apr 2018. CSI: Personal: Expected Financial Situation: Next Yr: Worse data is updated monthly, averaging 12.000 % from Jan 1978 (Median) to May 2018, with 485 observations. The data reached an all-time high of 31.000 % in Apr 1980 and a record low of 3.000 % in Jan 2000. CSI: Personal: Expected Financial Situation: Next Yr: Worse data remains active status in CEIC and is reported by University of Michigan. The data is categorized under Global Database’s USA – Table US.H024: Consumer Sentiment Index: Personal Finance. The question was: Now looking ahead -- do you think that a year from now you (and your family living there) will be better off financially, worse off, or just about the same as now?

In 2023, ** percent of respondents said they were struggling to pay the bills or described themselves as poor. A further ** percent of those surveyed said that they were just getting along, financially.

CSI: Personal: Current Financial Situation: 5Yrs Ago: Worse data was reported at 19.000 % in Sep 2018. This records a decrease from the previous number of 22.000 % for Aug 2018. CSI: Personal: Current Financial Situation: 5Yrs Ago: Worse data is updated monthly, averaging 34.000 % from Feb 1979 (Median) to Sep 2018, with 123 observations. The data reached an all-time high of 54.000 % in Dec 2011 and a record low of 19.000 % in Sep 2018. CSI: Personal: Current Financial Situation: 5Yrs Ago: Worse data remains active status in CEIC and is reported by University of Michigan. The data is categorized under Global Database’s USA – Table US.H027: Consumer Sentiment Index: Personal Finance. The question was: Now thinking back 5 years, would you say you (and your family living there)are better off or worse off financially now than you were 5 years ago?

This statistic shows the consumer attitudes towards their current personal financial condition in Mexico from August 2018 to August 2019. The figures are a sub-index of the Primary Consumer Sentiment Index (PCSI) as measured by Thomson Reuters / Ipsos. In August of 2019, the current financial condition perception index in Mexico stood at **** percentage points.

Snapshot img

Personal Finance Software Market Size 2024-2028

The personal finance software market size is forecast to increase by USD 296.46 million, at a CAGR of 4.76% between 2023 and 2028.

The market is experiencing significant growth, driven by the increasing use of smartphones and mobile devices for financial management. This trend is fueled by the convenience and accessibility that mobile applications offer, enabling users to manage their finances on-the-go. Another key driver is the rise in adoption of artificial intelligence (AI) and machine learning (ML) technologies in personal finance software. These advanced technologies enable more accurate budgeting, investment recommendations, and fraud detection, enhancing the user experience and value proposition. However, the market also faces challenges, including the high cost of personal finance software, which may limit adoption for some consumers.
Additionally, ensuring data security and privacy remains a significant challenge, as users increasingly rely on digital platforms to manage sensitive financial information. Companies seeking to capitalize on market opportunities must focus on offering affordable, secure, and user-friendly solutions, while effectively addressing the integration of AI and ML technologies to provide differentiated value.

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

Explore in-depth regional segment analysis with market size data - historical 2018-2022 and forecasts 2024-2028 - in the full report.
Request Free Sample

The market continues to evolve, with cloud-based storage and financial modeling tools becoming increasingly prevalent. These advancements enable users to access their financial data from anywhere, facilitating real-time financial analysis and planning. Financial literacy resources integrated into these platforms help users improve their understanding of various financial concepts. Moreover, financial planning software offers goal setting features, allowing users to create and monitor progress towards their financial objectives. Tax preparation software and mobile accessibility further enhance the convenience of managing finances on the go. Cloud-based storage ensures data security through secure data encryption, while financial data aggregation enables users to view all their financial accounts in one place.

Net worth calculators and budgeting tools help users track their spending and savings, while investment analysis tools provide insights into asset allocation strategies. Credit score monitoring and debt management features are essential components, helping users maintain a healthy financial profile. Multi-currency support caters to the needs of globally dispersed users. Data privacy regulations ensure that users' financial information remains secure. The ongoing integration of user-friendly interfaces, goal setting features, and tax preparation software ensures that personal finance software remains an indispensable tool for individuals and businesses alike. Continuous advancements in technology and evolving market dynamics underscore the importance of staying informed and adaptive in this dynamic market.

How is this Personal Finance Software Industry segmented?

The personal finance software 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.

End-user

  Home business users
  Individual users


Product

  Web-based software
  Mobile-based software


Geography

  North America

    US
    Canada


  Europe

    UK


  APAC

    China
    Japan


  Rest of World (ROW)

By End-user Insights

The home business users segment is estimated to witness significant growth during the forecast period.

Personal finance software caters to the unique needs of home business owners, offering features that help manage both personal and business finances effectively. These solutions enable users to link accounts, ensuring seamless data aggregation. Offline data access and secure data encryption provide peace of mind, while personalized financial advice and investment analysis tools offer valuable insights. Retirement planning tools and goal setting features facilitate long-term financial planning, and budgeting tools help monitor expenses. Credit score monitoring and debt management features keep users informed of their financial health. Multi-currency support and asset allocation strategies cater to businesses with international transactions.

Expense tracking apps, portfolio management, and cash flow management tools provide real-time visibility into financial activities. Cloud-based storage and financial modeling software enable data access from anywhere, while financial literacy resources promote financial education.

In the United Kingdom (UK), the share of respondents who think that taking advice from a financial expert would help them save money mainly remained very stable from 2018 to 2025. Each year throughout that period, between ** and ** percent of respondents believed that consulting a financial expert would help them save more money.

This statistic shows the consumer attitudes towards their current personal financial condition in Brazil from August 2018 to August 2019. The figures are a sub-index of the Primary Consumer Sentiment Index (PCSI) as measured by Thomson Reuters / Ipsos. In August of 2019, the current financial condition perception index in Brazil stood at ** percentage points.

CSI: Personal: Expected Financial Situation: Next Yr: Same data was reported at 47.000 % in May 2018. This records a decrease from the previous number of 49.000 % for Apr 2018. CSI: Personal: Expected Financial Situation: Next Yr: Same data is updated monthly, averaging 49.000 % from Jan 1978 (Median) to May 2018, with 485 observations. The data reached an all-time high of 60.000 % in Mar 2012 and a record low of 41.000 % in Mar 2003. CSI: Personal: Expected Financial Situation: Next Yr: Same data remains active status in CEIC and is reported by University of Michigan. The data is categorized under Global Database’s USA – Table US.H024: Consumer Sentiment Index: Personal Finance. The question was: Now looking ahead -- do you think that a year from now you (and your family living there) will be better off financially, worse off, or just about the same as now?

Graph and download economic data for Personal Saving Rate (PSAVERT) from Jan 1959 to Jul 2025 about savings, personal, rate, and USA.

In 2018, most Norwegian millennials used their computer when taking care of financial activities. This was especially the case in terms of investments, as 90 percent of the respondents set up investments via a computer. In comparison, most of the respondents used their smartphone when checking their account balance (77 percent) and when sending money domestically (64 percent). During this period, none of the respondents made use of a tablet for any financial purpose.

In 2018, 66 percent of the Finnish millennials used their smartphone when checking their account balance or sending money domestically. In terms of bank deposit or bank withdrawal, however, most of the respondents went to the bank in person. Both when it came to insurance and investments, most of the millennials managed this from the computer. In detail, 85 percent of the respondents bought or sold stocks via the computer. In general, the usage of tablet was not popular when handling financial activities among the Finnish millennials during this year.

CSI: Personal: Expected Financial Situation: Next 5Yrs: Better Off data was reported at 52.000 % in May 2018. This stayed constant from the previous number of 52.000 % for Apr 2018. CSI: Personal: Expected Financial Situation: Next 5Yrs: Better Off data is updated monthly, averaging 49.000 % from Feb 1979 (Median) to May 2018, with 119 observations. The data reached an all-time high of 57.000 % in Jan 2018 and a record low of 34.000 % in Jul 1979. CSI: Personal: Expected Financial Situation: Next 5Yrs: Better Off data remains active status in CEIC and is reported by University of Michigan. The data is categorized under Global Database’s USA – Table US.H024: Consumer Sentiment Index: Personal Finance. The question was: And 5 years from now, do you expect that you (and your family living there) will be better off financially, worse off, or just about the same as now?

In 2018, Swedish millennials primarily used their smartphone when taking care of financial activities. In detail, 86 percent of the respondents checked their balance on their mobile device, and 83 percent further used it to either send or receive money within the country. In terms of insurance, however, using a computer or making a phone call was more common among the generation. Furthermore, if the millennials were to apply for a home loan, 76 percent of the respondents would show up in person.

CSI: Personal: Current Financial Situation: 5Yrs Ago: Same data was reported at 9.000 % in Oct 2018. This stayed constant from the previous number of 9.000 % for Sep 2018. CSI: Personal: Current Financial Situation: 5Yrs Ago: Same data is updated monthly, averaging 11.000 % from Feb 1979 (Median) to Oct 2018, with 124 observations. The data reached an all-time high of 15.000 % in Dec 2013 and a record low of 7.000 % in Mar 2014. CSI: Personal: Current Financial Situation: 5Yrs Ago: Same data remains active status in CEIC and is reported by University of Michigan. The data is categorized under Global Database’s United States – Table US.H027: Consumer Sentiment Index: Personal Finance. The question was: Now thinking back 5 years, would you say you (and your family living there)are better off or worse off financially now than you were 5 years ago?

Abstract copyright UK Data Service and data collection copyright owner. The Wealth and Assets Survey (WAS) is a longitudinal survey, which aims to address gaps identified in data about the economic well-being of households by gathering information on level of assets, savings and debt; saving for retirement; how wealth is distributed among households or individuals; and factors that affect financial planning. Private households in Great Britain were sampled for the survey (meaning that people in residential institutions, such as retirement homes, nursing homes, prisons, barracks or university halls of residence, and also homeless people were not included).The WAS commenced in July 2006, with a first wave of interviews carried out over two years, to June 2008. Interviews were achieved with 30,595 households at Wave 1. Those households were approached again for a Wave 2 interview between July 2008 and June 2010, and 20,170 households took part. Wave 3 covered July 2010 - June 2012, Wave 4 covered July 2012 - June 2014 and Wave 5 covered July 2014 - June 2016. Revisions to previous waves' data mean that small differences may occur between originally published estimates and estimates from the datasets held by the UK Data Service. These revisions are due to improvements in the imputation methodology.Note from the WAS team - November 2023:"The Office for National Statistics has identified a very small number of outlier cases present in the seventh round of the Wealth and Assets Survey covering the period April 2018 to March 2020. Our current approach is to treat cases where we have reasonable evidence to suggest the values provided for specific variables are outliers. This approach did not occur for two individuals for several variables involved in the estimation of their pension wealth. While we estimate any impacts are very small overall and median pension wealth and median total wealth estimates are unaffected, this will affect the accuracy of the breakdowns of the pension wealth within the wealthiest decile, and data derived from them. We are urging caution in the interpretation of more detailed estimates."Survey Periodicity - "Waves" to "Rounds"Due to the survey periodicity moving from "Waves" (July, ending in June two years later) to “Rounds” (April, ending in March two years later), interviews using the ‘Wave 6’ questionnaire started in July 2016 and were conducted for 21 months, finishing in March 2018. Data for round 6 covers the period April 2016 to March 2018. This comprises of the last three months of Wave 5 (April to June 2016) and 21 months of Wave 6 (July 2016 to March 2018). Round 5 and Round 6 datasets are based on a mixture of original wave-based datasets. Each wave of the survey has a unique questionnaire and therefore each of these round-based datasets are based on two questionnaires. While there may be some changes in the questionnaires, the derived variables for the key wealth estimates have not changed over this period. The aim is to collect the same data, though in some cases the exact questions asked may differ slightly. Detailed information on Moving the Wealth and Assets Survey onto a financial years’ basis was published on the ONS website in July 2019.Further information and documentation may be found on the ONS Wealth and Assets Survey webpage. Users are advised to the check the page for updates before commencing analysis.Users should note that issues with linking have been reported and the WAS team are currently investigating.Secure Access WAS dataThe Secure Access version of the WAS includes additional, detailed geographical variables not included in the End User Licence (EUL) version (SN 7215). These include:WardsParliamentary Constituency Areas for Wave 1 onlyCensus Output AreasLower Layer Super Output AreasLocal AuthoritiesLocal Education AuthoritiesProspective users of the Secure Access version of the WAS will need to fulfil additional requirements, including completion of face-to-face training, and agreement to the Secure Access User Agreement and Licence Compliance Policy, in order to obtain permission to use that version (see 'Access' section below). Users are therefore strongly encouraged to download the EUL version (SN 7215) to see if it contains sufficient detail for their needs, before considering making an application for the Secure Access version.Latest Edition InformationFor the ninth edition (October 2022), the Round 7 person and household data have been updated. The Round 7 Wave 1 Variable Catalogue Excel file has also been updated. Main Topics: The WAS questionnaire was divided into two parts with all adults aged 16 years and over (excluding those aged 16 to 18 currently in full-time education) being interviewed in each responding household. Household schedule: This was completed by one person in the household (usually the head of household or their partner) and predominantly collected household level information such as the number, demographics and relationship of individuals to each other, as well as information about the ownership, value and mortgages on the residence and other household assets. Individual schedule: This was given to each adult in the household and asked questions about economic status, education and employment, business assets, benefits and tax credits, saving attitudes and behaviour, attitudes to debt, insolvency, major items of expenditure, retirement, attitudes to saving for retirement, pensions, financial assets, non-mortgage debt, investments and other income. Multi-stage stratified random sample Face-to-face interview 2006 2020 ADOPTION PAY AGE AIRCRAFT ALIMONY ASSETS ATTITUDES TO SAVING BANK ACCOUNTS BEDROOMS BICYCLES BOATS BONDS BUSINESS OWNERSHIP BUSINESS RECORDS BUSINESSES CARAVANS CARE OF DEPENDANTS CARERS BENEFITS CARS CHILD BENEFITS CHILD SUPPORT PAYMENTS CHILD TRUST FUNDS COHABITING COMMERCIAL BUILDINGS COST OF LIVING COSTS CREDIT CARD USE DEBILITATIVE ILLNESS DEBTS DISABILITIES EARLY RETIREMENT ECONOMIC ACTIVITY EDUCATIONAL BACKGROUND EDUCATIONAL COURSES EDUCATIONAL FEES EDUCATIONAL GRANTS EDUCATIONAL STATUS EMPLOYEES EMPLOYMENT EMPLOYMENT HISTORY EMPLOYMENT PROGRAMMES ENDOWMENT ASSURANCE ESTATES ETHNIC GROUPS EXPENDITURE FAMILY BENEFITS FAMILY INCOME FAMILY MEMBERS FINANCIAL ADVICE FINANCIAL COMPENSATION FINANCIAL DIFFICULTIES FINANCIAL SERVICES FREQUENCY OF PAY FRINGE BENEFITS FULL TIME EMPLOYMENT FURNISHED ACCOMMODA... GENDER GIFTS Great Britain HEALTH HEALTH STATUS HIRE PURCHASE HOME BUILDINGS INSU... HOME BUYING HOME CONTENTS INSUR... HOME OWNERSHIP HOUSE PRICES HOUSEHOLD BUDGETS HOUSEHOLD HEAD S EC... HOUSEHOLD HEAD S SO... HOUSEHOLD INCOME HOUSEHOLDERS HOUSEHOLDS HOUSING HOUSING AGE HOUSING ECONOMICS HOUSING FINANCE HOUSING TENURE ILL HEALTH INCOME INCOME TAX INCONTINENCE INFORMAL CARE INHERITANCE INSOLVENCIES INSURANCE CLAIMS INTELLECTUAL IMPAIR... INTEREST FINANCE INVESTMENT Income JOB HUNTING JOB SEEKER S ALLOWANCE LAND OWNERSHIP LAND VALUE LANDLORDS LIFE INSURANCE LOANS Labour and employment MAIL ORDER SERVICES MARITAL STATUS MATERNITY BENEFITS MATERNITY PAY MATHEMATICS MOBILE HOMES MORTGAGE ARREARS MORTGAGE PROTECTION... MORTGAGES MOTOR VEHICLE VALUE MOTOR VEHICLES MOTORCYCLES OCCUPATIONAL PENSIONS OCCUPATIONAL QUALIF... OCCUPATIONS OLD AGE BENEFITS ONE PARENT FAMILIES OVERDRAFTS PART TIME EMPLOYMENT PARTNERSHIPS BUSINESS PATERNITY BENEFITS PATERNITY PAY PENSION BENEFITS PENSION CONTRIBUTIONS PENSIONS PERSONAL DEBT REPAY... PERSONAL FINANCE MA... PHYSICAL MOBILITY PLACE OF BIRTH PRIVATE PENSIONS PRIVATE PERSONAL PE... PROFIT SHARING PROFITS QUALIFICATIONS REDUNDANCY PAY RELIGIOUS AFFILIATION RELIGIOUS ATTENDANCE RENTED ACCOMMODATION RENTS RESIDENTIAL BUILDINGS RETIREMENT RETIREMENT AGE ROYALTIES SAVINGS SAVINGS ACCOUNTS AN... SECOND HOMES SELF EMPLOYED SELLING SHARED HOME OWNERSHIP SHARES SICK PAY SICKNESS AND DISABI... SOCIAL HOUSING SOCIAL SECURITY SOCIAL SECURITY BEN... SOCIO ECONOMIC STATUS SPOUSES STAKEHOLDER PENSIONS STATE RETIREMENT PE... STATUS IN EMPLOYMENT STUDENT LOANS SUBSIDIARY EMPLOYMENT SUPERVISORY STATUS SURVIVORS BENEFITS TAX RELIEF TAXATION TENANTS HOME PURCHA... TIED HOUSING TOP MANAGEMENT TRANSPORT FARES TRUSTS UNEARNED INCOME UNEMPLOYED UNFURNISHED ACCOMMO... UNWAGED WORKERS WAGES WAR VETERANS BENEFITS WEALTH WILLS WINNINGS WORKPLACE property and invest...

This statistic illustrates the share of the digital audience in the European Union (five countries) that use finance-related websites as of **********. The majority (** percent) of individuals in France, the UK, Italy, Spain and Germany used online banking as of **********. A further ** percent of the digital audience in these countries used a personal finance website to pay bills, keep track of their finances and apply for credit cards. Only **** percent of individuals from the EU-5 countries used a website for managing their taxes.

The total assets of Tesco Personal Finance Group decreased notably between 2018 and 2024. The UK-based challenger bank's total assets amounted to roughly ***** billion British pounds in 2024. This was an increase compared to the previous year, but assets remained way below the values reported in 2018, 2019, and 2020.

The Department of Taxation and Finance annually produces a compilation of voluntary contributions made by taxpayers on their personal income tax returns. The dataset provides a history of these contributions beginning with fiscal year 1983. New Yorkers are currently allowed to check off on their state income tax forms to give voluntary contributions to ten different Funds: • Return a Gift to Wildlife (est. 1982); • Lake Placid Olympic Training Center Fund (est. 1995); • Breast Cancer Research and Education Fund (est. 1996); • Missing & Exploited Children Clearinghouse Fund (est. 1997); • Alzheimer's Disease Fund (est. 1999); • Prostate Cancer Research Fund (est. 2004); • World Trade Center Memorial Foundation Fund (est. 2005); • Volunteer Firefighting & EMS Recruitment and Retention Fund (est. 2009); • Teen Health Education Fund (est. 2013); • Veterans Remembrance & Cemetery Maintenance & Operation Fund (est. 2013); • Women's Cancer Education and Prevention Fund (est. 2015); • Homeless Veterans Assistance Fund (est. 2015); and • Mental Illness Anti-Stigma Fund (est. 2015) • Autism Fund (est. 2016) • Veterans Homes Fund (est. 2017) • Love Your Library Fund (est. 2018) • Lupus Education Contribution Fund (est. 2018) • Military Families Relief Fund (est. 2018) • CUNY Fund (est. 2018) Personal income taxpayers may increase their final remittances or reduce their overpayments by the amount of their contribution. Please see https://www.tax.ny.gov/pit/file/voluntary_contributions.htm for description of each fund.

CSI: Personal: Expected Financial Situation: Next Yr: Don’t Know data was reported at 2.000 % in May 2018. This stayed constant from the previous number of 2.000 % for Apr 2018. CSI: Personal: Expected Financial Situation: Next Yr: Don’t Know data is updated monthly, averaging 3.000 % from Jan 1978 (Median) to May 2018, with 485 observations. The data reached an all-time high of 8.000 % in Oct 1980 and a record low of 0.000 % in Mar 2008. CSI: Personal: Expected Financial Situation: Next Yr: Don’t Know data remains active status in CEIC and is reported by University of Michigan. The data is categorized under Global Database’s USA – Table US.H024: Consumer Sentiment Index: Personal Finance. The question was: Now looking ahead -- do you think that a year from now you (and your family living there) will be better off financially, worse off, or just about the same as now?