Lattica surveyed cryptographers, engineers, and researchers to understand where FHE is headed. The responses reveal a mix of optimism and skepticism: progress is happening, but challenges remain.
Here’s what the community told us, in their own priorities and predictions.
Key takeaways
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Adoption horizon
Most respondents (41%) believe we will see FHE in production in 3–5 years. Healthcare and financial services will be first to adopt the cloud once FHE becomes mainstream.
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Leading commercial use cases
The top commercial use cases respondents called out are:
a. Database operations
b. Cryptocurrency marketplaces
c. Private inference for ML models
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Scheme landscape
TFHE is the leading scheme in today’s market, followed by CKKS and BFV. CKKS excels at approximate arithmetic on real numbers for machine learning applications, while TFHE specializes in boolean operations with efficient bootstrapping.
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Hardware and software together
Most respondents (71%) believe FHE adoption will be achieved through a combination of hardware and software.
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Standardization
Most respondents (62%) would like to see updated standardization of FHE security parameters.
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Privacy-enhancing technologies
Most respondents (90%) see FHE as intersecting with other PETs, especially ZKPs and MPC.
What do you see as FHE’s leading commercial use cases?
Which industry sectors do you believe are likely to adopt the cloud once FHE is a mainstream, financially viable solution?
Which FHE libraries are you currently working with?
FHE development today relies on a mix of open-source libraries like Open FHE, Concrete, SEAL, and Lattigo. While these libraries provide flexibility, they also contribute to a fragmented landscape where developers must carefully select schemes, parameters, and optimizations to fit their needs.
The most commonly used libraries are: OpenFHE (39%), FHEW/TFHE/TFHE-rs (37%), SEAL (27%), Concrete (27%), and Lattigo (24%).
Which FHE schemes are you currently working with?
Which timeline do you predict for FHE adoption in production systems?
What will ultimately lead to FHE adoption: game changing computational acceleration, or software promoting algorithmic efficiency?
Other than computational overhead and complexity, what do you believe is the main challenge in FHE adoption?
Regulatory frameworks and standards
Which aspects of FHE require new or updated regulatory frameworks?
Which regulations are most relevant to FHE implementations? (Select all that apply)
FHE is closer than you think
The survey shows growing confidence in FHE’s future. Yes, challenges remain, especially around performance, usability, and regulation, but innovation is accelerating.
For FHE to reach real-world adoption, both technical advancements and industry collaboration will be crucial. Practical implementations, hardware-software co-design, and clearer regulatory frameworks will all take part in that process.
Explore the full survey
For the 2025 survey report as a PDF, use the link below. For more news and product updates, browse our news hub.
