In response to the growing influence of platforms and wallets, TABInsights has developed a comprehensive assessment of the world’s leading platforms, ranking them based on a six-dimensional balanced scorecard. This evaluation measures their capabilities across six critical areas: customer focus, service coverage, usage and engagement, financial performance, ecosystem strength, and strategy and leadership.
We anticipate releasing the World's Best Financial Platforms Ranking 2025 on 20 February 2025.
Rank | Platform | Country/Region | Year of launch | Customer | Coverage and Service Scope | Usage and Engagement | Financial Performance | Ecosystem | Strategy and Leadership | Final score | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Users/ Population | User growth | Total Score | # of markets | # of financial products |
Total Score | GTV/User | GTV growth | NPS | Total Score | Gross revenue | Revenue growth | Profitable (Y/N) | Total Score | Extensiveness of ecosystems | Total Score | Key achievements | Total Score | |||||
Score | Score | 20% | Score | Score | 20% | Score | Score | Score | 20% | Score | Score | Score | 20% | Score | 10% | Score | 10% | |||||
10 | 10 | 20 | 10 | 8 | 20 | 10 | 10 | 10 | 20 | 10 | 10 | 10 | 20 | 10 | 10 | 10 | 10 | 100 | ||||
1 | Alipay | China | 2004 | 7.0 | 1.0 | 8.0 | 10.0 | 7.0 | 18.9 | 10.0 | 1.0 | 5.4 | 10.9 | 10.0 | 1.0 | 10.0 | 14.0 | 8.0 | 8.0 | 7.0 | 7.0 | 66.8 |
2 | Gcash | Philippines | 2004 | 6.0 | 4.0 | 10.0 | 10.0 | 7.0 | 18.9 | 9.0 | 4.0 | 6.8 | 13.2 | 2.0 | 6.0 | 10.0 | 12.0 | 4.0 | 4.0 | 7.0 | 7.0 | 65.1 |
3 | WeChat Pay | China | 2013 | 5.0 | 1.0 | 6.0 | 10.0 | 5.0 | 16.7 | 10.0 | 1.0 | 5.0 | 10.7 | 10.0 | 1.0 | 10.0 | 14.0 | 7.0 | 7.0 | 5.0 | 5.0 | 59.3 |
4 | Wise | UK | 2011 | 2.0 | 6.0 | 8.0 | 10.0 | 3.0 | 14.4 | 10.0 | 2.0 | 2.8 | 9.9 | 6.0 | 6.0 | 10.0 | 14.7 | 5.0 | 5.0 | 6.0 | 6.0 | 58.0 |
5 | M-Pesa | Africa | 2007 | 2.0 | 2.0 | 4.0 | 8.0 | 7.0 | 16.7 | 9.0 | 2.0 | 5.0 | 10.7 | 4.0 | 2.0 | 10.0 | 10.7 | 7.0 | 7.0 | 6.0 | 6.0 | 55.0 |
6 | Apple Pay | Global | 2014 | 1.0 | 1.0 | 2.0 | 10.0 | 4.0 | 15.6 | 10.0 | 2.0 | 3.7 | 10.5 | 7.0 | 3.0 | 10.0 | 13.3 | 5.0 | 5.0 | 6.0 | 6.0 | 52.4 |
7 | KakaoPay | South Korea | 2014 | 8.0 | 0.0 | 8.0 | 8.0 | 5.0 | 14.4 | 8.0 | 2.0 | 0.0 | 6.7 | 3.0 | 2.0 | 10.0 | 10.0 | 6.0 | 6.0 | 6.0 | 6.0 | 51.1 |
8 | PayPal | Global | 1998 | 1.0 | 0.0 | 1.0 | 10.0 | 6.0 | 17.8 | 8.0 | 1.0 | 0.0 | 6.0 | 10.0 | 1.0 | 10.0 | 14.0 | 5.0 | 5.0 | 5.0 | 5.0 | 48.8 |
9 | Toss | South Korea | 2015 | 5.0 | 2.0 | 7.0 | 7.0 | 7.0 | 15.6 | 8.0 | 2.0 | 1.5 | 7.7 | 5.0 | 3.0 | 0.0 | 5.3 | 6.0 | 6.0 | 6.0 | 6.0 | 47.6 |
10 | DANA | Indonesia | 2017 | 7.0 | 5.0 | 12.0 | 1.0 | 3.0 | 4.4 | 1.0 | 10.0 | 5.3 | 10.9 | 3.0 | 6.0 | 0.0 | 6.0 | 6.0 | 6.0 | 5.0 | 5.0 | 44.3 |
Methodology: The scorecard assessment covers capabilities mapped across six key dimensions: customer, coverage and service scope, usage and engagement, financial performance, ecosystem, and strategy and leadership.
Source: TABInsights
Rank | Platform | Country/Region | Year of launch | Customer | Coverage and Service Scope | Usage and Engagement | Financial Performance | Ecosystem | Strategy and Leadership | Final score | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Users/ Population | User growth | Total Score | # of markets | # of financial products |
Total Score | GTV/User | GTV growth | NPS | Total Score | Gross revenue | Revenue growth | Profitable (Y/N) | Total Score | Extensiveness of ecosystems | Total Score | Key achievements | Total Score | |||||
Score | Score | 20% | Score | Score | 20% | Score | Score | Score | 20% | Score | Score | Score | 20% | Score | 10% | Score | 10% | |||||
10 | 10 | 20 | 10 | 8 | 20 | 10 | 10 | 10 | 20 | 10 | 10 | 10 | 20 | 10 | 10 | 10 | 10 | 100 | ||||
1 | Alipay | China | 2004 | 7.0 | 1.0 | 8.0 | 10.0 | 7.0 | 18.9 | 10.0 | 0.0 | 5.4 | 10.3 | 10.0 | 0.0 | 10.0 | 13.3 | 8.0 | 8.0 | 6.0 | 6.0 | 64.5 |
2 | Gcash | Philippines | 2004 | 5.0 | 7.0 | 12.0 | 7.0 | 7.0 | 15.6 | 8.0 | 6.0 | 7.6 | 14.4 | 2.0 | 6.0 | 10.0 | 12.0 | 3.0 | 3.0 | 7.0 | 7.0 | 64.0 |
3 | Wise | UK | 2011 | 2.0 | 7.0 | 9.0 | 10.0 | 3.0 | 14.4 | 10.0 | 4.0 | 3.0 | 11.3 | 5.0 | 8.0 | 10.0 | 15.3 | 5.0 | 5.0 | 6.0 | 6.0 | 61.1 |
4 | WeChat Pay | China | 2013 | 5.0 | 1.0 | 6.0 | 10.0 | 5.0 | 16.7 | 10.0 | 0.0 | 5.0 | 10.0 | 10.0 | 0.0 | 10.0 | 13.3 | 7.0 | 7.0 | 5.0 | 5.0 | 58.0 |
5 | M-Pesa | Africa | 2007 | 2.0 | 2.0 | 4.0 | 7.0 | 7.0 | 15.6 | 9.0 | 2.0 | 5.0 | 10.7 | 3.0 | 2.0 | 10.0 | 10.0 | 7.0 | 7.0 | 7.0 | 7.0 | 54.2 |
6 | KakaoPay | South Korea | 2014 | 8.0 | 2.0 | 10.0 | 6.0 | 4.0 | 11.1 | 8.0 | 2.0 | 1.7 | 7.8 | 3.0 | 2.0 | 10.0 | 10.0 | 6.0 | 6.0 | 6.0 | 6.0 | 50.9 |
7 | PayPal | Global | 1998 | 1.0 | 1.0 | 2.0 | 10.0 | 6.0 | 17.8 | 8.0 | 1.0 | 0.0 | 6.0 | 10.0 | 1.0 | 10.0 | 14.0 | 5.0 | 5.0 | 6.0 | 6.0 | 50.8 |
8 | DANA | Indonesia | 2017 | 9.0 | 8.0 | 17.0 | 1.0 | 2.0 | 3.3 | 1.0 | 10.0 | 5.8 | 11.2 | 3.0 | 6.0 | 0.0 | 6.0 | 6.0 | 6.0 | 7.0 | 7.0 | 50.5 |
9 | Apple Pay | Global | 2014 | 1.0 | 1.0 | 2.0 | 10.0 | 4.0 | 15.6 | 10.0 | 1.0 | 5.2 | 10.8 | 6.0 | 1.0 | 10.0 | 11.3 | 5.0 | 5.0 | 4.0 | 4.0 | 48.7 |
10 | Toss | South Korea | 2015 | 5.0 | 3.0 | 8.0 | 7.0 | 7.0 | 15.6 | 8.0 | 3.0 | 3.0 | 9.3 | 3.0 | 3.0 | 0.0 | 4.0 | 6.0 | 6.0 | 5.0 | 5.0 | 47.9 |
11 | Paytm | India | 2009 | 1.0 | 7.0 | 8.0 | 2.0 | 8.0 | 11.1 | 5.0 | 6.0 | 2.1 | 8.7 | 5.0 | 6.0 | 0.0 | 7.3 | 6.0 | 6.0 | 4.0 | 4.0 | 45.2 |
12 | MoMo | Vienam | 2010 | 3.0 | 5.0 | 8.0 | 1.0 | 7.0 | 8.9 | 4.0 | 3.0 | 4.7 | 7.8 | 2.0 | 4.0 | 0.0 | 4.0 | 7.0 | 7.0 | 7.0 | 7.0 | 42.7 |
13 | Grab | Southeast Asia | 2012 | 1.0 | 3.0 | 4.0 | 8.0 | 5.0 | 14.4 | 1.0 | 3.0 | 2.6 | 4.4 | 2.0 | 7.0 | 0.0 | 6.0 | 7.0 | 7.0 | 6.0 | 6.0 | 41.8 |
14 | GoTo | Indonesia | 2021 | 4.0 | 2.0 | 6.0 | 3.0 | 4.0 | 7.8 | 2.0 | 7.0 | 5.3 | 9.5 | 3.0 | 5.0 | 0.0 | 5.3 | 6.0 | 6.0 | 7.0 | 7.0 | 41.6 |
15 | Klarna | Sweden | 2017 | 1.0 | 1.0 | 2.0 | 10.0 | 3.0 | 14.4 | 3.0 | 3.0 | 2.8 | 5.9 | 6.0 | 2.0 | 0.0 | 5.3 | 5.0 | 5.0 | 7.0 | 7.0 | 39.6 |
16 | Papara | Turkey | 2016 | 3.0 | 7.0 | 10.0 | 1.0 | 5.0 | 6.7 | 1.0 | 2.0 | 2.0 | 3.3 | 1.0 | 3.0 | 10.0 | 9.3 | 5.0 | 5.0 | 5.0 | 5.0 | 39.3 |
17 | True Money | Southeast Asia | 2005 | 1.0 | 2.0 | 3.0 | 7.0 | 7.0 | 15.6 | 2.0 | 3.0 | 4.0 | 6.0 | 2.0 | 2.0 | 0.0 | 2.7 | 6.0 | 6.0 | 6.0 | 6.0 | 39.2 |
18 | Boost | Malaysia | 2017 | 1.0 | 3.0 | 4.0 | 7.0 | 3.0 | 11.1 | 5.0 | 3.0 | 2.7 | 7.1 | 1.0 | 6.0 | 0.0 | 4.7 | 5.0 | 5.0 | 5.0 | 5.0 | 36.9 |
19 | Google Pay | Global | 2015 | 1.0 | 1.0 | 2.0 | 10.0 | 3.0 | 14.4 | 3.0 | 1.0 | 3.0 | 4.7 | 8.0 | 1.0 | 0.0 | 6.0 | 4.0 | 4.0 | 4.0 | 4.0 | 35.1 |
20 | LINE Pay | Asia | 2014 | 1.0 | 2.0 | 3.0 | 4.0 | 7.0 | 12.2 | 7.0 | 1.0 | 3.0 | 7.3 | 3.0 | 1.0 | 0.0 | 2.7 | 5.0 | 5.0 | 3.0 | 3.0 | 33.2 |
21 | Venmo | US | 2009 | 3.0 | 4.0 | 7.0 | 1.0 | 4.0 | 5.6 | 8.0 | 1.0 | 0.0 | 6.0 | 4.0 | 1.0 | 0.0 | 3.3 | 4.0 | 4.0 | 5.0 | 5.0 | 30.9 |
22 | Samsung Pay | Global | 2015 | 1.0 | 1.0 | 2.0 | 10.0 | 2.0 | 13.3 | 2.0 | 1.0 | 1.0 | 2.7 | 1.0 | 1.0 | 0.0 | 1.3 | 3.0 | 3.0 | 2.0 | 2.0 | 24.3 |
Methdology: The scorecard assessment covers capabilities mapped across six key dimensions: customer, coverage and service scope, usage and engagement, financial performance, ecosystem, and strategy and leadership.
Source: TABInsights
Brian Lo is a seasoned risk professional with nearly 30 years of experience across global financial institutions. Based in Hong Kong and Singapore, he has led teams in managing market and liquidity risk, counterparty risk, and asset and liability management. His expertise encompasses quantitative modelling, risk governance, stress testing, and regulatory compliance. Brian has also played a critical role in developing internal risk models, driving strategic initiatives, and advising on cutting-edge risk solutions, including AI and machine learning applications. Throughout his career, he has served on multiple risk committees, providing strategic insights to senior management and boards, and has been instrumental in implementing Basel reforms and risk management innovations. Brian’s approach integrates deep technical knowledge with practical leadership, making him a valuable contributor to banking risk management education and practice.
Urs Bolt is a seasoned professional with over 35 years of expertise in wealth management, investment banking, and technology. He helps individuals achieve financial well-being and advises senior leaders in financial services and technology on refining business strategies, developing markets, and forging impactful partnerships. Recognised as a global thought leader in digital banking, WealthTech, and decentralised finance, Urs is an active speaker, author, and jury member for esteemed awards and panels. A passionate advocate for sustainable progress, he champions energy policies that balance economic growth and ecological preservation through scientific solutions.
As Chief Data Officer (CDO) at Unique, a venture-backed B2B SaaS startup, she leads the development of FinanceGPT—a pioneering platform that delivers advanced, responsible AI solutions for the financial services industry. By leveraging generative AI, organisations can save time, enhance efficiency, and drive innovation while upholding the highest ethical standards.
With over 20 years of expertise as a data specialist in financial services, her deep passion for data storytelling has helped simplify complex concepts, making data more accessible and actionable. Recognised for her contributions to the industry, she was recently honored with the Diamond Star Award as the #1 Woman in Banking in Fintech in Germany (sponsored by Handelsblatt, Germany’s leading business newspaper).
Beyond her professional responsibilities, she actively mentors startups on leveraging generative AI while ensuring data protection and IT security. This dedication has led to her appointment to the ISO expert council in Switzerland and involvement with the Creative Destruction Lab at HEC Paris.
A strong advocate for academia, she regularly lectures at leading universities in Switzerland and internationally on GenAI, Ecosystem Technology, and Data Protection. As a frequent speaker at industry events, she is committed to inspiring students and professionals, bridging the gap between advanced technology and practical business applications to foster inclusive and impactful innovation.
Always eager to take on new challenges that create meaningful change in both business and society.