Hong Kong's Duplicate Image Problem: The Numbers Driving a Digital Housekeeping Crisis

Hong Kong businesses and government agencies collectively waste tens of millions of Hong Kong dollars every year storing duplicate digital images they will never use — and a cluster of technology firms along Cyberport Road in Pok Fu Lam are now charging premium fees to fix it. The numbers behind this largely invisible problem have grown striking enough that IT procurement officers at several major institutions have begun treating deduplication as a budget line, not an afterthought.

The timing matters. Since 2022, organisations across Hong Kong have accelerated their migration to hybrid cloud infrastructure, partly to support Greater Bay Area data-sharing requirements and partly to comply with updated guidelines from the Office of the Government Chief Information Officer. That migration process has exposed legacy archives where the same image file — product photographs, identity document scans, promotional banners — can exist in dozens of copies spread across departmental servers, backup drives, and cloud buckets simultaneously.

What the Data Shows

Industry benchmarks cited by storage consultancies operating out of the Hong Kong Science and Technology Parks Corporation campus in Pak Shek Kok suggest that, in a typical mid-sized enterprise archive of one terabyte, between 25 and 40 percent of stored image files are exact or near-exact duplicates. For retail and financial services firms — two of Hong Kong's dominant sectors — that ratio climbs higher, because product catalogues and KYC document scans are regularly re-uploaded without deletion protocols in place.

Cloud storage pricing in Hong Kong, where firms typically use data centres in Tseung Kwan O or Tsuen Wan, runs at roughly HK$0.18 to HK$0.25 per gigabyte per month for standard-tier object storage, according to publicly listed rates from major providers operating locally. A company sitting on five terabytes of redundant image data is therefore paying somewhere between HK$10,800 and HK$15,000 every year for files that serve no operational purpose. Multiply that across a large bank or a government bureau with petabyte-scale archives and the waste becomes structurally significant.

The problem compounds further when organisations maintain disaster-recovery mirrors. Standard practice requires at least one geographically separate backup, meaning every duplicate image is itself duplicated again, at least once, at a secondary site. Some firms running three-site redundancy — a configuration common among institutions with Mainland-linked operations in Shenzhen or Guangzhou — are effectively storing the same image six or more times.

Who Is Cleaning Up — and What It Costs

Several vendors at Cyberport, including firms specialising in AI-assisted asset management, have launched deduplication services specifically packaged for Hong Kong's financial and retail markets. The typical engagement for an enterprise archive audit runs between HK$80,000 and HK$250,000 depending on archive size, according to publicly available service listings. That upfront cost is recoverable, in theory, within six to eighteen months purely through reduced storage fees — a pitch that has gained traction since storage inflation hit in early 2025.

The Hong Kong Productivity Council, based in Kowloon Tong, has also published guidance on digital asset management as part of its broader SME digitalisation programme, flagging image deduplication as a quick-win efficiency measure for small retailers and logistics companies operating across the Greater Bay Area corridor.

For organisations yet to act, the practical steps are straightforward. An initial hash-based scan — where software generates a unique fingerprint for each image file and flags identical fingerprints — can be completed on a one-terabyte archive in under four hours using open-source tools, with no vendor engagement required. The harder problem is near-duplicates: resized, recompressed, or slightly cropped versions of the same source image, which require perceptual hashing algorithms or machine-learning classifiers to catch reliably.

With the OGCIO expected to update its cloud procurement framework before the end of 2026, and with Greater Bay Area data governance rules tightening around cross-border image transfers, organisations that have not audited their image archives in the past two years are likely to find the pressure to do so arriving from regulators, not just accountants.