Hitachi Vantara research shows Singapore firms are adopting AI quickly, but data complexity and security gaps may undermine long-term ROI.
Singapore businesses are adopting artificial intelligence (AI) widely, but rising data complexity and security challenges could weaken long-term returns, according to new research from Hitachi Vantara.
The findings come from the Hitachi Vantara State of Data Infrastructure 2025 Report, a global study on how organisations are preparing data infrastructure to support AI at scale. The research surveyed more than 1,200 C-level executives and senior IT leaders across 15 markets.
In Asia and Oceania, the sample included 425 respondents: 80 in Australia, 81 in China, 55 in Hong Kong, 104 in India, 51 in Singapore, and 54 in Taiwan. Respondents represented a range of industries and organisational sizes, with results weighted by industry and role type.
In Singapore, nearly all respondents (96%) reported some level of AI use, and 66% said their organisation has already had success using AI. However, only 23% rated their organisation as industry-leading in readiness to achieve ROI from AI, signalling uncertainty about sustained value.
The report also highlights data and security pressures as AI workloads expand. Among Singapore respondents, 52% said data complexity makes it harder to detect a security breach, and 64% agreed that if leadership fully understood how fragile their data infrastructure is, it would “keep them up at night”, pointing to a potential awareness gap between specialist and executive levels.
Hitachi Vantara said the findings suggest that while adoption is strong, not all organisations are equally prepared to support AI at scale over the long term — and that complexity and security challenges may expose weaknesses in data management rather than resolve them.
Joe Ong, Vice President and General Manager for ASEAN, Hitachi Vantara, said: “AI success is no longer about experimentation alone. It depends on whether data environments are resilient, governed, and trusted. Singapore businesses are clearly ahead in adoption, but the next phase will be defined by how well they manage complexity, security, and performance as AI scales.”
The research concludes that many Singapore enterprises recognise the need for stronger data foundations, but still face challenges translating that awareness into coordinated, long-term action.
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