Singapore's Duplicate Image Problem: The Numbers Driving a Digital Cleanup

Singapore's digital infrastructure is carrying a hidden weight. Across public-sector repositories, retail platforms and media archives, duplicate images now account for a measurable and growing share of stored data — a problem that costs real money, slows load times and complicates the city-state's push to position itself as a lean, AI-ready hub.

The issue has sharpened in 2026 because Singapore's Smart Nation and Digital Government Office has been conducting rolling audits of government-linked content systems since January, pressing statutory boards and ministries to document redundant asset volumes before the next budget cycle. Digital asset hygiene, once a back-office afterthought, is now explicitly tied to cloud infrastructure spending — and cloud spending has become a line item that the Ministry of Finance scrutinises closely.

What the Data Actually Shows

Industry benchmarks published by the Infocomm Media Development Authority suggest that unstructured data — which includes images, video thumbnails and PDFs — typically constitutes between 70 and 80 percent of an organisation's total stored data. Within that pool, duplication rates for image files in large enterprise environments commonly run between 15 and 30 percent, depending on how aggressively deduplication tools are applied. For a mid-sized Singapore government agency running, say, 500 terabytes of active storage at current commercial cloud rates of roughly S$0.023 per gigabyte per month on AWS Singapore's ap-southeast-1 region, the cost of carrying an unaddressed 20 percent duplicate image load translates to approximately S$2,300 wasted every single month — before factoring in retrieval bandwidth charges.

On the private side, the picture is no cleaner. Lazada and Shopee, both of which operate significant server infrastructure tied to Singapore, have each invested in proprietary image-deduplication pipelines in recent years precisely because product listings frequently arrive from third-party sellers carrying the same photograph under different filenames. Industry estimates — though neither platform has published precise figures — suggest that major Southeast Asian e-commerce catalogs carry duplicate image rates of 12 to 25 percent at any given time. At scale, that translates to millions of redundant files.

Local Platforms and the Deduplication Push

At one-north, the research and business park in Queenstown managed by JTC Corporation, several AI startups have built their commercial pitch squarely around this problem. Companies working out of Fusionopolis and Biopolis have developed perceptual hashing tools — algorithms that identify visually identical or near-identical images even when file names, formats or metadata differ — and are actively marketing them to Singapore's banking sector, where Know Your Customer document workflows generate enormous volumes of identity photographs that need deduplication for both efficiency and regulatory compliance.

The Monetary Authority of Singapore's guidelines on technology risk management, most recently updated in 2021, do not mandate specific deduplication standards but do require financial institutions to demonstrate that data storage practices are cost-efficient and secure. That framing gives compliance teams at DBS, OCBC and UOB practical incentive to address the problem, even where it is not explicitly required.

The National Library Board, which manages digital heritage collections across its branches including the Lee Kong Chian Reference Library at Victoria Street, has been digitising archival photographs since the early 2000s. A 2023 programme under the NLB's digital access framework identified that a portion of its National Online Repository of the Arts holdings contained near-duplicate scans arising from multi-batch digitisation of the same physical prints — a problem compounded by format migrations over two decades.

For organisations confronting this now, the practical path is sequential: run a perceptual hash audit before committing to new storage contracts, establish a canonical master file policy so that future ingestion pipelines reject duplicates at entry rather than retrospectively, and tie deduplication milestones to the next cloud renewal cycle. Singapore's government commercial cloud tender framework, which operates on rolling three-year cycles, gives agencies a natural review window. The next major wave of renewals falls in late 2027, meaning the audit work needs to begin no later than early next year to influence contract scope in time.