Finastra Report Shows Singapore Leading APAC Financial Institutions in Enterprise AI Deployment and Cloud Modernization
Finastra Report Shows Singapore Leading APAC Financial Institutions in Enterprise AI Deployment and Cloud Modernization
Synopsis- Finastra research shows Singapore financial institutions are among the most advanced globally in deploying AI into real-world production environments.
- Strong cloud adoption, modernization investment, and infrastructure readiness are enabling faster innovation, security improvements, and operational efficiency.
- Customer experience, personalization, fraud prevention, and payments modernization are emerging as the primary drivers of AI investment and deployment.
Singapore’s financial institutions are moving ahead of global counterparts in adopting artificial intelligence, with nearly two-thirds already using AI in live production systems rather than limiting its use to experimental pilots. According to the Financial Services State of the Nation 2026 report by Finastra, the country has emerged as a leader in translating AI strategy into operational execution.
The research, cited in reporting by CRN Asia, surveyed senior executives from financial institutions across 11 global markets and found that Singapore stands out for the maturity and scale of its AI deployment. While just 2% of institutions globally reported no use of AI, Singapore demonstrated significantly stronger implementation depth, reflecting a shift toward enterprise-wide adoption.
Chris Walters, CEO of Finastra, said in the report that Singapore institutions are demonstrating how AI can be embedded across core business functions rather than confined to isolated test environments. He explained that effective deployment relies on modern infrastructure, strong data foundations, and disciplined governance, allowing organizations to move faster while reinforcing security, customer trust, and operational resilience.
Beyond current deployments, Singapore institutions are continuing to invest in experimentation. The research found that 35% of financial organizations in Singapore are actively piloting or researching new AI use cases, ensuring a continuous pipeline of innovation while expanding existing production systems.
Globally, AI has emerged as the most influential technology innovation lever, with 43% of institutions identifying it as the most impactful technology in the past year. Singapore’s implementation momentum is particularly evident in payments technology, where 73% of institutions deployed or enhanced AI capabilities in the past 12 months, significantly exceeding the global average of 38%.
Financial institutions in Singapore are primarily using AI to strengthen compliance and regulatory processes, with 43% citing this as a key objective. Other major applications include improving risk management, accelerating transaction processing in payments and lending, and enhancing customer engagement through personalization.
This rapid progress has been enabled by strong technology foundations. According to the report highlighted by CRN Asia, 71% of Singapore institutions rated their core infrastructure, security, and reliability as ahead of their peers globally. This reflects high confidence in modernization readiness and supports enterprise-level AI deployment.
Cloud computing has played a critical role in enabling this transformation. In Singapore, 55% of financial institutions host all or most of their infrastructure in the cloud, while another 30% operate hybrid cloud environments. This combined cloud adoption rate of 84% underscores the sector’s commitment to scalable and resilient systems capable of supporting AI workloads.
Investment momentum is also accelerating. Singapore institutions are planning to increase modernization spending significantly, with projected increases exceeding 50% over the next year. Globally, 87% of financial institutions expect to increase modernization investment, but Singapore’s growth trajectory is among the strongest.
As AI adoption expands, cybersecurity investment is rising in parallel. The report projects global security spending will increase by an average of 40%, with Singapore among the most aggressive investors in advanced threat detection and prevention technologies.
Over the past year, 62% of Singapore financial institutions implemented advanced fraud detection and transaction monitoring systems, the highest rate globally. Similarly, 60% deployed or upgraded Security Information and Event Management (SIEM) and Security Orchestration, Automation and Response (SOAR) platforms to strengthen cyber defense capabilities.
Identity protection measures are also advancing. Multi-factor authentication and biometric security adoption reached 54% in Singapore, reflecting the growing need to counter increasingly sophisticated AI-driven threats targeting financial systems.
Customer experience innovation has emerged as a central focus of technology investment. The research found that 83% of institutions plan to invest in customer experience and personalization initiatives, with nearly a quarter expecting spending increases of between 50% and 74%.
Existing personalization services include 24-hour chatbot support, real-time payment processing, sustainable banking aligned with customer values, and real-time liquidity monitoring with optimization insights. Future deployment priorities include personalized marketing, tailored financial recommendations, digital wallets, and customized rewards programs.
Payments modernization is also accelerating, with 35% of institutions globally implementing real-time payment infrastructure in the past year. Singapore institutions are among those leading this shift, investing in intelligent routing, alternative payment methods, and operational resilience enhancements.
Despite this progress, challenges remain. Talent shortages are the most significant barrier, cited by 43% of institutions globally and 54% in Singapore, highlighting strong competition for expertise in AI, cloud computing, and cybersecurity.
Budget constraints also present challenges, with 52% of Singapore institutions reporting financial pressures affecting modernization planning. Regulatory complexity adds further hurdles, particularly for institutions operating across borders and navigating evolving governance requirements for AI deployment.
To address these challenges, financial institutions are increasingly forming strategic partnerships. The research found that 54% of institutions globally are collaborating with fintech providers to accelerate modernization and access specialized capabilities without expanding internal teams.
The Finastra study surveyed 1,509 executives and senior managers across banks and financial institutions worldwide, representing organizations managing more than $100 trillion in assets. As CRN Asia’s report indicates, Singapore’s leadership in AI deployment reflects a broader transformation in financial services, where enterprise AI, cloud infrastructure, and modernization investments are becoming central to long-term competitiveness.
Source: CRN Asia – Have a Story? Address it to the Editor and submit it here here
About Finastra
Finastra is a global financial technology company providing software solutions to banks, financial institutions, and capital markets worldwide. Formed through the merger of Misys and D+H, Finastra delivers a broad portfolio of solutions across payments, lending, treasury, capital markets, and retail banking. The company focuses on enabling financial institutions to modernize operations, improve efficiency, and enhance customer experience through cloud-based platforms and open innovation. Finastra supports organizations in adopting emerging technologies such as artificial intelligence, automation, and advanced analytics while maintaining strong regulatory compliance and security standards. Its open platform approach allows institutions to integrate third-party fintech services, accelerating innovation and reducing deployment complexity. Serving thousands of financial institutions globally, Finastra plays a key role in helping banks transition from legacy systems to scalable, digital-first architectures.
Source: CRN Asia – Have a Story? Address it to the Editor and submit it here here
Featured image Source: The Information
Disclaimer
The information provided in this article is for general informational purposes only and from publicly available sources. While we strive for accuracy, we do not make any representations or warranties, express or implied, regarding the completeness, reliability, or validity of the content. This article does not make any direct claims about specific companies, individuals, or organizations. Any references to reports or external sources are for context and do not imply endorsement or verification of any specific allegations. Readers are encouraged to conduct their own research and seek professional advice before making business decisions. We disclaim any liability for any losses or damages incurred as a result of reliance on the information provided.