Homomorphic encryption
Homomorphic encryption is already in production for limited uses. Wider adoption depends on security, performance and cost for each use. We know of no slowdown figure that applies everywhere and no general regulatory mandate.
Research snapshot · updated Nov 12, 2026
State of the art (2026)
Homomorphic encryption is in production for specific, bounded tasks. Apple uses it in Enhanced Visual Search and in private lookups on its devices. Zama reported a confidential payroll transaction on Ethereum mainnet in January 2026. The cost in speed is large and varies with the application, as Microsoft's SEAL documentation explains. How much slower it runs than ordinary computing depends on the task, the settings and the hardware. We do not have a single slowdown figure or a market size that we trust.
Hardware and software acceleration
Intel HEXL is an open-source software library that speeds up the modular arithmetic used in homomorphic encryption. Several companies are also developing dedicated accelerator hardware. We do not have comparable measured speed figures or confirmed delivery dates for that hardware, so each product has to be judged on its own published results.
Who uses it today
Use reaches beyond government, banking and blockchain. Apple runs homomorphic encryption in consumer features used on its devices. We do not have a reliable figure for total revenue in this market, or for how it divides between sectors.
Post-quantum cryptography and homomorphic encryption
NIST's FIPS 203 standardises ML-KEM, a method two parties use to agree a shared secret key. It does not cover computing on encrypted data. Both fields build on lattice mathematics, so research in one may help the other. Rolling out post-quantum encryption does not by itself deploy or test homomorphic encryption.
Explore the deeper analysis in CanaryIQ
Explore what is covered below. These previews show the structure; log in to read the full analysis.
Signal stack
Evidence stacked leading → lagging
8 signals
Signal stack
Evidence stacked leading → lagging
Landscape map
Who builds what, and who depends on whom
142 players · 5 layers
Landscape map
Who builds what, and who depends on whom
Watchlists
Companies, people and papers, each with a condition for removing it
20 · 20
Watchlists
Companies, people and papers, each with a condition for removing it
Decision frameworks
What our view means for your job
Locked
Decision frameworks
What our view means for your job
Thesis changelog
When our view changed, and why
9 updates
Thesis changelog
When our view changed, and why
Change our mind
4 disconfirming conditions
You've read the verdict. The file is much deeper.
The full signal stack, technology-native KPIs tracked over time, the landscape of who depends on whom, the dated catalyst calendar, decision frameworks for every desk, live watchlists and a record of every time our view on Homomorphic encryption has changed. All of it is in CanaryIQ.