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Singapore's Duplicate Image Problem: The Numbers Driving a Digital Clean-Up

New data reveals the scale of redundant visual content clogging government portals, corporate databases and news archives across the island — and what it is costing to fix it.

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By Singapore News Desk · Published 5 July 2026 at 4:17 am

4 min read

Updated 4 h ago· 5 July 2026 at 12:01 pm

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This article was generated by AI from the linked public sources. The Daily Singapore is independently owned and covers Singapore news free from advertiser or sponsor influence. Read our editorial standards →

Singapore's Duplicate Image Problem: The Numbers Driving a Digital Clean-Up
Photo: Photo by CK Seng on Pexels

Singapore's public and private sector databases are carrying tens of millions of duplicate image files, a growing administrative burden that IT governance specialists say is now measurable in wasted storage costs, slower retrieval times and degraded search accuracy. The problem is not new, but the numbers attached to it are becoming harder to ignore.

Cloud storage adoption accelerated sharply after 2020, when remote-work mandates pushed organisations to digitise paper-heavy workflows almost overnight. By 2025, enterprise data volumes across Southeast Asia had grown at roughly 30 percent annually, according to industry analyst firm IDC's Asia-Pacific figures. Singapore, as the region's primary data centre hub — home to more than 70 commercial data centres concentrated largely in Jurong and Tuas — absorbs a disproportionate share of that growth. Duplicate images, produced when the same asset is uploaded across multiple platforms or re-saved after minor edits, now account for a significant slice of that bloat.

What the Data Actually Shows

A 2025 internal review by the Infocomm Media Development Authority, cited in parliamentary answers tabled in March 2026, found that government agency portals collectively held an estimated 18 percent of image assets in duplicate or near-duplicate form. That figure, drawn from a sample of 14 agencies, translates into hundreds of terabytes of redundant data sitting on servers that cost Singapore taxpayers money to run and cool. The Government Technology Agency, which manages the Singapore Government Tech Stack from its offices at Sandcrawler Building in one-north, has been piloting automated deduplication tools since the second quarter of 2025.

The private sector picture is murkier but no less significant. Singapore Press Holdings' digital archive, now folded into SPH Media Trust, underwent a deduplication exercise in late 2024 that reportedly reduced its active image library by more than 22 percent without removing any unique editorial content. For a news organisation running a content management system across multiple titles and platforms, the downstream benefits include faster page-load times and reduced licensing exposure — every duplicate file is a potential double-count in rights-managed image audits.

The financial arithmetic is straightforward. Enterprise cloud storage in Singapore costs between SGD 0.023 and SGD 0.05 per gigabyte per month depending on tier and provider, based on publicly listed rates from AWS and Google Cloud's Singapore regions as of June 2026. An organisation holding 500 terabytes of image data with an 18 percent duplication rate is paying for roughly 90 terabytes it does not need — a monthly bill of approximately SGD 2,000 to SGD 4,500 in pure storage terms, before factoring in bandwidth, backup cycles and compliance archiving costs.

Fixing It — and Why Timing Matters

The pressure to act is coming from two directions simultaneously. Singapore's Green Plan 2030 targets a 10-megawatt cap on the net new data centre capacity added annually, tightening the island's already constrained digital real estate. Every terabyte recovered through deduplication is, in effect, capacity freed without new infrastructure. The Building and Construction Authority has also updated energy-efficiency requirements for data centres certified under its Green Mark scheme, making storage efficiency a compliance issue, not merely a cost one.

At the same time, the Smart Nation and Digital Government Group is pushing agencies toward AI-assisted content management as part of its Digital Government Blueprint refresh expected later in 2026. Tools that flag near-duplicate images — files that differ only in resolution, compression or watermark — are a foundational layer for any AI-powered asset management system. Without that clean baseline, machine-learning models trained on government image libraries will carry the same redundancies their human-curated predecessors did.

For businesses, the practical starting point is an audit. Several Singapore-based IT service providers, including homegrown firms operating out of the Mapletree Business City cluster in Alexandra, offer deduplication assessments benchmarked against the IMDA's data management maturity framework. Organisations covered by the Personal Data Protection Act should also check whether duplicated image files containing identifiable individuals create additional notification obligations under the 2021 amendments to the Act — a compliance angle that legal teams are increasingly raising as audits surface unexpected copies of staff or customer imagery scattered across shared drives.

The numbers behind Singapore's duplicate image problem are now large enough to command boardroom attention. The technology to address it exists. The policy incentives are aligned. What remains is for organisations to treat the clean-up not as an IT housekeeping chore but as a measurable business priority with a calculable return.

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Published by The Daily Singapore

Covering news in Singapore. This article was generated by AI from the linked sources and was not reviewed by a human editor before publishing. See our editorial standards.

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