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AI-Powered Personal Finance Management Market Forecast 2025-2034: Analysing Major Trends, Opportunities, and Growth Drivers
AI-Powered Personal Finance Management
The upsurge in the utilization of digital banking services is anticipated to fuel the market for AI-run personal finance management. These digital banking services are interactive platforms enabling consumers to execute financial dealings and administer their bank accounts via the internet. The surge in their use is due to their ease of use, availability, enhanced security systems, and the mounting usage of digital technologies. AI-run personal finance management fosters the uptake of digital banking services by providing custom advice, simplifying mundane financial activities, and enhancing user interaction through predictive analytics and natural language processing. As per E-commerce Tips, an American e-commerce guide and insights agency, in January 2024, the overall count of people in the United States using two or more types of digital payments has soared from 51% in 2021 to 62% in 2022. Moreover, the e-commerce sector, which constitutes the largest portion of the worldwide digital payments market, represented $6.310 trillion in 2023 and is speculated to escalate to $6.913 trillion in 2024. Digital wallets like PayPal, Venomo, and ApplePay are gaining popularity, although, for B2B payments in the US, credit cards and checks still make up 39% and 26% individually. Hence, the uptake of digital banking services is propelling the AI-run personal finance management market.
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What Is the projected market size and growth rate for the ai-powered personal finance management market?
The market for personal finance management driven by AI has experienced swift expansion in the past few years. The market size, projected to rise from $1.48 billion in 2024 to $1.63 billion in 2025, will achieve a compound annual growth rate (CAGR) of 10.1%. Factors contributing to the surge during the historical period include prevalent usage of smartphones and tablets, burgeoning of fintech companies, the influx of large data, the shift from conventional banking methods to digital platforms, and an increased need for customized financial counsel.
Over the coming years, the market for AI-driven personal finance management is predicted to experience substantial growth. It is set to expand to $2.37 billion in 2029, with a CAGR of 9.8%. Contributing factors to growth during this forecast period include economic instability and financial planning needs, an expanding pool of tech-aware consumers, increased mobile and internet penetration, rising worries about financial safety, and synchronization with other financial services. Key trends in this forecast period will encompass integration with wearable devices, voice-controlled financial management, cutting-edge fraud detection, monitoring of financial wellbeing, and the application of blockchain technology.
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What new trends are reshaping the ai-powered personal finance management market and its opportunities?
The lead players in the AI-driven personal finance management market are concentrating on creating new products, such as AI-enabled features, to assist banks in making the transaction dispute resolution process more streamlined and effective. AI-enabled capabilities involve the application of artificial intelligence to automate, refine, and provide personalised advice and suggestions for managing personal finance activities such as budgeting, saving, investments, and expense monitoring. For example, in April 2024, Salesforce Inc., a cloud-based software company based in the US, released a range of AI-powered features specifically designed to improve transaction dispute resolution in banks. The aim of this initiative is to simplify procedures and boost customer service due to the growing complexity of dispute management. The features, including transaction dispute management and einstein copilot banking actions, merge transaction data from banking systems with customer data from Salesforce to automate manual tasks, decrease errors, resolve problems, and enhance customer communication from a single platform.
What major market segments define the scope and growth of the ai-powered personal finance management market?
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 region dominates the ai-powered personal finance management market?
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.
Which key market leaders are driving the ai-powered personal finance management industry growth?
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.
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What Is Covered In The AI-Powered Personal Finance Management Global Market Report?
•Market Size Forecast: Examine the ai-powered personal finance management market size across key regions, countries, product categories, and applications.
•Segmentation Insights: Identify and classify subsegments within the ai-powered personal finance management market for a structured understanding.
•Key Players Overview: Analyze major players in the ai-powered personal finance management market, including their market value, share, and competitive positioning.
•Growth Trends Exploration: Assess individual growth patterns and future opportunities in the ai-powered personal finance management market.
•Segment Contributions: Evaluate how different segments drive overall growth in the ai-powered personal finance management market.
•Growth Factors: Highlight key drivers and opportunities influencing the expansion of the ai-powered personal finance management market.
•Industry Challenges: Identify potential risks and obstacles affecting the ai-powered personal finance management market.
•Competitive Landscape: Review strategic developments in the ai-powered personal finance management market, including expansions, agreements, and new product launches.
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