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Homomorphic Encryption Companies

Homomorphic encryption companies specialize in providing encryption solutions that allow data to remain encrypted while undergoing computations in an untrusted environment. This technology preserves data privacy and security, making it suitable for applications in cloud computing, data analysis, and secure outsourcing of computations. Homomorphic encryption is vital for securing sensitive data in a world where data privacy is paramount.

Homomorphic encryption Companies


Competitive Landscape of Homomorphic Encryption Market


The homomorphic encryption market is witnessing significant growth, driven by the increasing demand for data security and privacy across various industries. This market presents exciting opportunities for established players and new entrants alike. This analysis delves into the competitive landscape, highlighting key players, their strategies, and the key factors influencing market share.


Key Industry Players:



  • IBM (US)

  • Microsoft (US)

  • SAP (Germany)

  • Oracle (US)

  • Intel (US)

  • Google LLC (US)

  • Cosmian Tech (France)

  • CryptoExperts SAS (US)

  • Duality Technologies Inc. (US)

  • Enveil Inc. (US)

  • Inpher, Inc. (US)

  • Netskope, Inc. (US)

  • Thales Group (France)

  • Zaiku Group Ltd. (UK)


Strategies Adopted:



  • Product Differentiation: Companies are focusing on developing unique homomorphic encryption solutions tailored to specific market needs and use cases.

  • Strategic Partnerships: Key players are collaborating with other technology providers and industry leaders to expand their reach and expertise.

  • Open-Source Contributions: Several companies are contributing to open-source projects to accelerate the development and adoption of homomorphic encryption technologies.

  • Government Contracts: Companies are actively pursuing government contracts to secure funding for research and development initiatives.

  • Cloud-Based Solutions: Many players are offering their solutions as cloud services to cater to the growing demand for flexible and scalable deployments.


Factors for Market Share Analysis:



  • Breadth of Product Portfolio: A wider range of solutions addressing various use cases can attract a larger customer base.

  • Performance and Scalability: High-performance and scalable solutions are necessary for handling large datasets and complex workloads.

  • Ease of Use and Integration: User-friendly interfaces and seamless integration with existing infrastructure are crucial for wider adoption.

  • Security and Compliance: Robust security features and compliance with industry regulations are essential for building trust with customers.

  • Pricing and Licensing Models: Competitive pricing and flexible licensing options can attract a broader range of customers.


New and Emerging Companies:


Several new companies are entering the market, offering innovative homomorphic encryption solutions and challenging established players. Some notable examples include:



  • Encrypted Machine Learning (EML) Inc.: Focuses on developing homomorphic encryption-based solutions for secure machine learning applications.

  • Lattigo Inc.: Offers high-performance homomorphic encryption libraries with a focus on user-friendliness.

  • Openmined: Provides a platform for collaborative development of privacy-preserving machine learning algorithms using homomorphic encryption.

  • Snyk Inc.: Offers a homomorphic encryption solution for securing software supply chains.

  • Zama: Develops homomorphic encryption solutions for the financial services industry.


Current Company Investment Trends:


Companies are actively investing in research and development to improve the performance and efficiency of homomorphic encryption algorithms. Additionally, they are focusing on developing user-friendly tools and applications to make homomorphic encryption more accessible to a broader range of users. Furthermore, collaborations with cloud providers and industry leaders are on the rise to expand market reach and accelerate adoption.


Latest Company Updates:


On Sep. 26, 2023, the Israeli startup Fhenix announced raising US$7 million in Seed funding to develop a confidential Blockchain powered by homomorphic encryption. The company aims to build a confidential smart contract platform using fully homomorphic encryption (FHE) to enable direct computation over encrypted data without revealing the underlying data. The funds will be used to fetch the Fhenix Network into public testnet early next year to support ecosystem application development.


On Sep. 18, 2023, Chain Reaction, an Israeli startup, announced leveraging Taiwan's cutting-edge semiconductor manufacturing capability to build a privacy processor chip using Fully Homomorphic Encryption (FHE) to enhance privacy technology to transform the public cloud into a trusted environment. This development will empower use cases and workloads from big pharma, finance, aerospace, defense, and government, securely and efficiently processing data needs. Thus, enablement will be the challenge commonly referred to as the holy grail of cloud computing.


On Sep. 06, 2023, The Electronics and Telecommunications Research Institute (ETRI – S.Korea) announced the development of an innovative computing chip for homomorphic encryption. This dedicated computational accelerator chip is capable of high-speed processing of homomorphic encryption.


Upon commercialization, this technology will be used in data center servers for cloud services and AI semiconductors, guaranteeing privacy. It can befit cloud computing & database management system (DBMS) companies, server-mounted homomorphic encryption accelerator developers, fabless companies, data privacy service companies, and companies that utilize sensitive data such as public & defense data.


On Jul. 17, 2023, Optalysys, a Leeds-based photonic chip company, announced raising £21 million to unlock its fully homomorphic encryption process. The firm will use these funds to launch its technology on a cloud-based service model and build out its teams in Europe and the US. It will advance its photonic computing technology to secure processing known as Fully Homomorphic Encryption (FHE).

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