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Blockchain use cases outside finance

Ten areas where shared ledgers have been proposed or piloted outside finance. Each explainer covers the problem, how a ledger might help, where it has been tried, and its limits.

  1. Supply-chain traceability

    Following a batch of food or minerals through many companies — and why the data entered at the start matters more than the ledger.

    Main limits: The ledger only holds what people and sensors report. Wrong data at the source stays wrong, and the hardest part is persuading every firm in the chain to take part.

  2. Trade documents and logistics

    Digitising bills of lading and other shipping paperwork — and why legal recognition and industry participation mattered more than technology.

    Main limits: Digital documents need legal recognition to carry the same rights as paper, and a platform needs most of the industry on board. Several prominent networks closed because too few participants joined.

  3. Digital identity

    Proving facts about yourself online without oversharing: verifiable credentials, decentralised identifiers and the EU Digital Identity Wallet.

    Main limits: Personal data must never be written to a ledger. Many identity systems, including the EU Digital Identity Wallet framework, work without a blockchain; the hard problems are legal trust, usability and recovering lost devices.

  4. Academic certificates

    Digital diplomas that anyone can check — and why a ledger cannot tell a real university from a diploma mill.

    Main limits: Verification shows who issued a credential, not whether the issuer is a recognised institution. Accreditation registers remain essential, and withdrawing credentials issued in error must be designed in from the start.

  5. Land registries

    Recording property titles and transfers — and why a ledger cannot fix a register that was wrong to begin with.

    Main limits: A ledger cannot correct records that were wrong or missing from the start. Surveying, legal recognition and trust in institutions are the real bottlenecks, and courts must still be able to correct the register.

  6. Healthcare data integrity

    Tamper-evident logs for records, consent and medicine supply chains — with patient data kept firmly off the ledger.

    Main limits: Patient data must not be written to a ledger: it cannot be deleted, and even hashed or encrypted health data may still count as personal data under the GDPR. Integrating with hospital systems is the main cost.

  7. Energy and certificates of origin

    Certificates that show where electricity comes from, local energy pilots, and why meter data matters more than the ledger.

    Main limits: Certificates are legal instruments issued by designated bodies, so a ledger adds little unless the issuing body uses it. The accuracy of meter data, not record-keeping, sets the limit on precision.

  8. Public records and timestamping

    Hash anchoring and timestamps for registers, decisions and published documents — and what they can and cannot prove.

    Main limits: A timestamp proves existence and integrity, not truth or authority. Trusted timestamping services and qualified timestamps under EU law already offer legal certainty, and the ledger must outlive the records it protects.

  9. Voting

    What elections must achieve, what a ledger could add, and why most election-security researchers advise against it for public elections.

    Main limits: The main risks — compromised phones and computers, vote buying, coercion and identity checks — occur before a vote reaches any ledger. Major expert reviews recommend against internet voting for public elections, with or without blockchain.

  10. Charity and aid transparency

    Coordinating humanitarian assistance between agencies — and why transparency to donors must never expose the people receiving help.

    Main limits: Data about vulnerable people needs strong protection. A ledger cannot confirm that help was actually received or used as intended, and transparency for donors must not expose recipients.

How these explainers are built

Each one follows the same pattern: the problem, what a shared ledger adds, documented pilots, when an ordinary database is enough, and official or academic sources.

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