AI-Powered Personal Finance Management Market Report 2025

This AI-Powered Personal Finance Management market report provides a comprehensive analysis of the market’s characteristics, size, and growth, including segmentation, regional and country-level breakdowns, competitive landscape, market shares, trends, and strategies. It also tracks historical and forecasted market growth across various geographies.

The AI-powered personal finance management market size has grown rapidly in recent years. It will grow from $1.48 billion in 2024 to $1.63 billion in 2025 at a compound annual growth rate (CAGR) of 10.1%. The growth in the historic period can be attributed to the widespread use of smartphones and tablets, the rise of fintech companies, the explosion of big data, the transition from traditional banking to digital banking, and the demand for personalized financial advice.

The AI-powered personal finance management market size is expected to see strong growth in the next few years. It will grow to $2.37 billion in 2029 at a compound annual growth rate (CAGR) of 9.8%. The growth in the forecast period can be attributed to economic uncertainty and financial planning, a growing population of tech-savvy consumers, the expansion of mobile and internet connectivity, growing concerns over financial security, and integration with other financial services. Major trends in the forecast period include integration with wearable technology, voice-activated financial management, advanced fraud detection, financial health monitoring, and the incorporation of blockchain technology.

The growing adoption of online banking services is expected to propel the AI-powered personal finance management market in the future. Online banking services refer to digital platforms that enable customers to perform financial transactions and manage their bank accounts via the internet. The widespread adoption of online banking is driven by its convenience, accessibility, enhanced security features, and the increasing use of digital devices. AI-powered personal finance management contributes to this growth by offering personalized financial insights, automating routine tasks, and enhancing the user experience through predictive analytics and natural language processing. For example, in January 2024, E-commerce Tips, a US-based company providing e-commerce guides and insights, reported that the number of people using multiple forms of digital payments in the United States rose from 51% in 2021 to 62% in 2022. Moreover, e-commerce, the largest segment of the global digital payments market, accounted for $6.31 trillion in 2023 and is projected to grow to $6.913 trillion in 2024. While digital wallets like PayPal, Venmo, and Apple Pay have gained popularity for B2B payments, traditional methods like credit cards and checks still account for 39% and 26%, respectively, of payments in the US. Consequently, the increased adoption of online banking services is driving the growth of the AI-powered personal finance management market.

Major companies within the artificial intelligence (AI)-powered personal finance management sector are introducing innovative products to enhance the efficiency of transaction dispute resolution processes for banks. AI-powered capabilities involve leveraging artificial intelligence to automate, optimize, and deliver personalized insights and recommendations for managing various financial activities, including budgeting, saving, investing, and expense tracking. For instance, in April 2024, Salesforce Inc., a US-based provider of cloud-based software solutions, launched a suite of AI-powered capabilities aimed at improving transaction dispute resolution for financial institutions. This suite is designed to streamline operational processes and enhance customer service amidst the growing complexity of managing disputes. The capabilities, featuring transaction dispute management and Einstein Copilot banking actions, integrate transaction data from banking systems with customer data from Salesforce. This integration automates manual tasks, minimizes errors, resolves issues, and enhances customer communications, all through a unified platform.

In May 2024, Wipro Ltd., a technology services and consulting firm based in India, partnered with Microsoft Corporation to introduce a suite of AI-powered cognitive assistants tailored for the financial services sector. These virtual assistants include Wipro GenAI Investor Intelligence, Wipro GenAI Investor Onboarding, and Wipro GenAI Loan Origination. The offerings leverage generative AI to provide financial professionals with comprehensive market intelligence and timely insights on investment products and investor behavior. Microsoft Corporation, a US-based technology company, is renowned for its specialization in AI-driven financial services.

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.

North America was the largest region in the AI-powered personal finance management market in 2024. 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. The countries covered in the AI-powered personal finance management market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

AI-powered personal finance management involves utilizing artificial intelligence to streamline and improve financial planning and decision-making. It encompasses tools that assess spending habits, suggest investment options, and deliver customized budgeting guidance. These systems leverage machine learning algorithms to tailor their recommendations based on individual financial behaviors and objectives.

The core technologies in AI-powered personal finance management include machine learning (ML), predictive analytics, and natural language processing (NLP). Machine learning (ML) is a form of artificial intelligence that enables computers to learn from data and enhance their performance without direct programming. It supports services such as budgeting and expense tracking, investment management, and credit score monitoring, available through mobile apps and web-based platforms. Both individual consumers and financial institutions use these services.

The AI-powered personal finance management market research report is one of a series of new reports that provides AI-powered personal finance management market statistics, including the AI-powered personal finance management industry's global market size, regional shares, competitors with an AI-powered personal finance management market share, detailed AI-powered personal finance management market segments, market trends and opportunities, and any further data you may need to thrive in the AI-powered personal finance management industry. This AI-powered personal finance management market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.

The AI-powered personal finance management market includes revenues earned by entities by providing services such as personalized financial advice, automated bill payment, fraud detection and prevention, and savings optimization. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

This product will be delivered within 3-5 business days.