Hong Kong's Duplicate Image Problem: The Numbers Driving a Digital Cleanup Push

More than 340 terabytes of redundant image files are estimated to be sitting across Hong Kong's commercial and public-sector digital infrastructure, according to figures compiled by the Hong Kong Applied Science and Technology Research Institute (ASTRI) in its mid-2026 storage audit report. The finding has sharpened a long-running conversation among IT managers citywide about the financial and operational drag caused by duplicate image accumulation — a problem that turns out to be far larger, and far more expensive, than most organisations had assumed.

The timing matters. With Greater Bay Area data-integration projects accelerating and the Hong Kong government pushing agencies toward a unified digital services platform by the third quarter of 2027, the city's back-end data hygiene has moved from a technical footnote to a boardroom concern. Duplicated image assets inflate storage bills, slow retrieval systems, create version-control chaos across departments, and — critically for regulated industries — raise compliance flags when auditors cannot confirm which copy of a document image is authoritative.

What the Data Actually Shows

ASTRI's analysis, which surveyed 47 participating organisations across sectors including banking, logistics, and government, found that duplicate images accounted for an average of 22 percent of total image storage volume. For financial institutions clustered in Central and in Quarry Bay's Taikoo Place commercial district, that figure climbed to nearly 31 percent, driven by high-volume document scanning workflows and the layered use of multiple customer relationship management platforms over the past decade.

Storage costs in Hong Kong's enterprise cloud market currently run between HK$0.18 and HK$0.35 per gigabyte per month for tier-one providers, depending on contract scale and redundancy configuration. Applied to the 340-terabyte estimate, that puts the city's annual wasted outlay on duplicate image storage somewhere between HK$7.3 million and HK$14.3 million across the surveyed sample alone — and the sample represented only a fraction of the total commercial base. The Hong Kong Monetary Authority's Supervisory Policy Manual already requires banks to maintain clean, auditable records of scanned customer documents, giving financial firms a regulatory reason, not just a cost reason, to act.

The problem is not unique to large enterprises. At Cyberport, where more than 1,900 tech companies and startups are based, smaller firms report that legacy image libraries built during rapid growth phases routinely contain three to five copies of the same asset, stored under different filenames across different team drives. A 2025 survey by the Hong Kong Computer Society found that 68 percent of small and medium-sized enterprises polled had no formal process for detecting or removing duplicate media files.

Tools, Deadlines, and What Organisations Are Doing

Several Hong Kong firms have begun deploying perceptual hashing and machine-learning deduplication tools, which compare images by visual fingerprint rather than filename or metadata. The approach can identify near-duplicate images — cropped, colour-adjusted, or resaved versions of the same original — that byte-level comparison would miss. The Government of the Hong Kong Special Administrative Region's Office of the Government Chief Information Officer published updated data management guidelines in March 2026 that explicitly listed image deduplication as a recommended practice for bureaux and departments migrating to the cloud.

For organisations that have not yet started, the practical path forward involves three steps that IT governance specialists consistently recommend: run a baseline audit using open-source or commercial scanning tools to quantify the duplicate load; establish a naming and metadata convention that prevents new duplicates from accumulating; and designate a single authoritative image repository, whether hosted on-premises at a data centre in Tseung Kwan O or via a licensed cloud provider. Leaving the problem unaddressed through the current integration cycle means inheriting it at larger scale — and higher cost — once cross-boundary data flows with Shenzhen and Guangzhou deepen under Bay Area frameworks. The window for a clean migration is narrowing.