Cloudera has released a new global survey, The Great AI Re-Architecture, revealing that 95% of organisations have delayed or cancelled an AI initiative in the past year due to data governance, compliance or regulatory challenges. The report, based on responses from 1,500 enterprise architects, cloud infrastructure leads and data architects worldwide, points to legacy data architectures as a key bottleneck limiting enterprises’ ability to scale AI securely and cost-effectively.

While 77% of organisations are actively using AI, 72% say their current data architecture requires a significant overhaul to meet future AI requirements. Cloudera is calling this shift “The Great AI Re-Architecture”, describing a mass transition from legacy systems toward hybrid environments that let organisations run trusted AI on trusted data wherever it resides.

“This current era of AI is forcing organizations to rethink the foundations of their technology infrastructure. Many enterprises are discovering that the architectures built for traditional analytics weren’t designed for the scale, governance, and flexibility AI demands today. Success will depend on building a data foundation that gives organizations the freedom to run AI wherever it makes the most sense, without compromising control or security,” said Sergio Gago, Chief Technology Officer, Cloudera.

Singapore Enterprises Lead on Infrastructure Overhaul

Across Asia Pacific, 92% of organisations have delayed or cancelled a project in the past 12 months due to governance, compliance or regulatory issues, and 68% say their existing data architecture needs significant change. In Singapore specifically, 68% of enterprises believe their current architecture requires a significant overhaul, 43% have already moved AI workloads out of the public cloud, and a further 36% are evaluating the shift. More than a third (35%) of Singapore respondents expect increased edge spending over the next two years.

• 92% of APAC organisations delayed or cancelled a project in the past year over governance or compliance issues
• 68% of Singapore enterprises say their data architecture needs a significant overhaul
• 63% of APAC organisations have shifted AI workloads from public cloud to private cloud or on-premises
• 35% of Singapore respondents expect increased edge spending over the next two years
• 41% of Singapore respondents cite data security, governance and compliance as the primary driver of AI infrastructure change

“Across the Asia Pacific region, the conversation is transitioning from merely selecting an AI host to determining which environment yields the superior business results for specific workloads. Singapore reflects this evolution as enterprises collectively evaluate latency, performance, expenditure, and governance when defining their AI deployment strategies. To scale AI breakthroughs effectively, businesses must possess the agility to transition data and AI seamlessly among cloud, edge, and on-premises setups while maintaining strict governance and operational command,” said Remus Lim, Senior Vice President, Asia Pacific and Japan, Cloudera.

Governance Becomes Foundational Infrastructure

Globally, 73% of respondents say AI has made data governance more complex, a challenge echoed by 61% across Asia Pacific. More than half of organisations worldwide report delaying or cancelling more than six AI projects in the past year due to governance, compliance or regulatory hurdles. Nearly every respondent (97%) reports moving data between environments at least monthly, underscoring why consistent governance across cloud, private cloud, on-premises and edge environments is becoming essential to scaling AI securely.

The survey was commissioned by Cloudera and conducted by Wakefield Research between 5 and 22 June 2026 across nine markets in the Americas, EMEA and Asia Pacific, including Singapore, India and Japan. Cloudera is set to discuss the findings further at Cloudera EVOLVE Singapore next week.