Global AI-Powered Personal Finance Management Market Projected to Grow at 9.8% CAGR, Reaching $2.37 Billion by 2029

AI-Powered Personal Finance Management Market

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What Will the AI-Powered Personal Finance Management Industry Market Size Be by 2025?
In the past few years, there has been substantial expansion in the AI-powered personal finance management market. The market size is projected to escalate from $1.48 billion in 2024 to $1.63 billion in 2025, representing a compound annual growth rate (CAGR) of 10.1%. Factors contributing to this growth trend in the historical period include the ubiquity of smartphones and tablets, the emergence of fintech firms, the surge in big data, the shift from conventional banking to digital banking, and a growing need for bespoke financial guidance.

What’s the Long-Term Growth Forecast for the AI-Powered Personal Finance Management Market Size Through 2029?
Anticipated robust growth in the AI-powered personal finance management market means that its size could potentially reach $2.37 billion by 2029, growing at a compound annual growth rate (CAGR) of 9.8%. The projected growth during this period can be credited to issues like economic uncertainty, financial planning, increase in tech-savvy population, extension of mobile and internet connectivity, rising concerns about financial security and merging with other financial sectors. Upcoming trends for this period are predicted to encompass incorporation of wearable technology, voice-enabled financial management, cutting-edge fraud detection, tracking of financial health and introduction of blockchain technology.

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What Are the Key Growth Drivers Fueling the AI-Powered Personal Finance Management Market Expansion?
The AI-powered personal finance management market is set to be propelled forward due to the uptake of online banking services. These digital platforms, which provide the means for customers to manage their bank accounts and undertake fiscal transactions over the internet, are becoming increasingly popular due to their ease of use, security enhancements, and how readily accessible they are to those with digital devices. AI-powered personal finance management systems promote these services by delivering tailored insights, automating everyday financial activities, and enhancing user experience through predictive analytics and natural language processing. For example, E-commerce Tips reported in January 2024 that the total percentage of Americans utilizing at least two forms of digital payments has grown from 51% in 2021 to 62% in 2022. Furthermore, e-commerce, which constitutes the largest sector of the global digital payments market, represented $6.310 trillion in 2023 and is predicted to increase to $6.913 trillion in 2024. Despite the increasing prevalence of digital wallets such as PayPal, Venomo, and ApplePay, US B2B payments still predominantly rely on credit cards and checks, accounting for 39% and 26% respectively. Therefore, it’s evident that the uptake of online banking services is indeed fuelling the growth of the AI-powered personal finance management market.

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What Are the Key Trends Driving AI-Powered Personal Finance Management Market Growth?
Big players in the AI-driven personal finance management market are introducing new offerings, such as AI-driven functions, aimed to assist banks in resolving transaction disputes more effectively. AI-powered functions signifies the application of artificial intelligence in automating, optimising, and giving customised advice and recommendations for managing personal financial activities like budgeting, saving, investing and tracking expenses. For example, in April 2024, US-based cloud software firm, Salesforce Inc., unveiled a set of AI-driven functionalities designed to improve transaction dispute resolution in banks. This move is aimed at improving processes and boosting customer service in light of the growing complexities in handling disputes. Functions including transaction dispute management and einstein copilot banking actions integrate transaction info from banking platforms with client data from Salesforce to automate manual operations, minimise mistakes, resolve problems, and enhance customer interaction, all from one single platform.

How Is the AI-Powered Personal Finance Management Market Segmented?
The AI-powered personal finance management market covered in this report is segmented –

1) By Technology Type: Machine Learning (ML), Predictive Analytics, Natural Language Processing (NLP)
2) By Service Type: Budgeting And Expense Tracking, Investment Management, Credit Score Monitoring
3) By Platform Type: Mobile Apps, Web-Based Platforms
4) By End-User: Individual Consumers, Financial Institutions

Subsegments:
1) By Machine Learning (ML): Supervised Learning, Unsupervised Learning, Reinforcement Learning, Deep Learning, Neural Networks
2) By Predictive Analytics: Financial Forecasting, Credit Risk Prediction, Investment Strategy Optimization, Cash Flow And Budgeting Predictions, Fraud Detection And Prevention
3) By Natural Language Processing (NLP): Voice-Activated Financial Assistance, Text Mining For Financial Insights, Chatbots For Customer Support, Financial Sentiment

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Which Companies Are Leading the Charge in AI-Powered Personal Finance Management Market Innovation?
Major companies operating in the AI-powered personal finance management market are Goldman Sachs Group Inc., BBVA USA, Intuit Inc., Robinhood Markets Inc., Chime Financial Inc., NerdWallet Inc., MoneyLion Inc., Acorns Grow Incorporated, Personal Capital Corporation, Betterment LLC, Koho Financial Inc., Stash Financial Inc., Quicken Inc., Albert Corporation, You Need A Budget LLC, Wealthfront Inc., Toshl Inc., Wally Technologies Inc., PocketGuard Inc., Tiller Inc., Zeta Help Inc., Emma Technologies Ltd., Qapital Inc.

Which Regions Are Leading the Global AI-Powered Personal Finance Management Market in Revenue?
North America was the largest region in the AI-powered personal finance management market in 202. The regions covered in the AI-powered personal finance management market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

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