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市場調査レポート
商品コード
1296935
準同型暗号化の世界市場2023-2030Global Homomorphic Encryption Market 2023-2030 |
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カスタマイズ可能
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準同型暗号化の世界市場2023-2030 |
出版日: 2023年05月29日
発行: Orion Market Research
ページ情報: 英文 105 Pages
納期: 2~3営業日
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準同型暗号化の世界市場は、予測期間中にCAGR 8.3%で成長すると予測されています。市場成長を促進する顕著な要因としては、銀行・金融セクターの拡大、エンドユーザー業界におけるデータプライバシーとセキュリティに対する需要の高まり、暗号化技術の研究開発の大幅な増加などが挙げられます。例えば、Duality社は2022年7月にオープンソースの準同型暗号化(FHE)ライブラリ「OpenFHE」を発表しました。これは、インテル、サムスン、カリフォルニア大学サンディエゴ校、マサチューセッツ工科大学(MIT)など、暗号技術のリーダーたちとの共同プロジェクトだっています。OpenFHEは次世代のオープンソースFHEソフトウェア・ライブラリと考えられており、より高いセキュリティ、強固なプライバシー保護、幅広い利用可能性を提供します。準同型暗号化は、データ管理の選択肢を増やすことで、監査や保証に携わる人々に高度な分析、機械学習(ML)、人工知能(AI)技術を開発する機会を提供します。2021年11月、デュアリティ・テクノロジーズは、プライバシーを強化したDuality SecurePlus MLアプリケーションが、第3世代インテルXeonプロセッサーを搭載し、加速された準同型暗号化を使用するAmazon Web Services(AWS)の顧客に提供されることを発表しました。これらのアプリケーションにより、AWSの顧客は、機密データを保護しプライバシーを保持しながら、新しいMLワークロードをクラウドで大規模に処理できるようになります。また、この新しい機能により、クラウドで機密データを処理する組織は、処理中のデータに直接触れることがないため、データ・プライバシー規制を遵守することができます。
エンドユーザーの業種別では、ヘルスケア分野が大きな成長を遂げると予測されています。この成長は主に、機密性の高い患者データの保護や、創薬・研究に関連する知的財産の保護のために、いくつかのヘルスケア企業で準同型暗号化ソリューションの採用が増加していることに起因しています。例えば、2020年5月、Duality Technologies社は、PNAS(Proceedings of the National Academy of Sciences of the United States of America)に、準同型暗号化を用いた大規模ゲノムワイド関連研究(GWAS)の安全性に関する論文を発表しました。この研究では、準同型暗号化技術により、参加者個人のプライバシーを保護しながら、大規模なゲノム研究や臨床研究の共同研究が可能になることが明らかにされました。研究者らの外挿によると、この方法により、10万個体、50万一塩基多型(SNPs)のGWASを1つのサーバーノードで5.6時間で実行できます。この性能結果は、同程度の精度を持つ先行する安全な計算方法よりも大幅に高速です。さらに、この進歩は、臨床試験、薬の再利用、希少疾患の研究など、医学研究の他の分野にも応用することができます。
地域別展望
全地域の中で、北米が世界の準同型暗号化市場で大きな市場シェアを占めると予測されています。準同型暗号化計算を強化するための戦略的パートナーシップの数が増加していることに加え、民間セクターの投資が増加していることが、この地域の準同型暗号化市場の拡大に拍車をかけています。例えば、2020年12月、IBMセキュリティは、クラウドまたはサードパーティ環境で処理または分析されている間でもデータが暗号化されたままであることを可能にするように設計された新技術である準同型暗号化(FHE)を企業が実験できるようにする新しいサービスを開始しました。新しいIBM Security Homomorphic Encryption Servicesは、FHEを活用できるプロトタイプ・アプリケーションを開発するための教育、専門家によるサポート、テスト環境を企業に提供します。
Title: Global Homomorphic Encryption Market Size, Share & Trends Analysis Report by Component (Solution and Services), by Type (Partially Homomorphic Encryption, Somewhat Homomorphic Encryption, and Fully Homomorphic Encryption), by Application (Secure Data Computation, Data Privacy, Data Monetization, and Regulatory Compliance), and by End User (BFSI, IT and Telecom, Health Care, Government, Educational Institutes, and Others) Forecast Period (2023-2030).
The global homomorphic encryption market is anticipated to grow at a CAGR of 8.3% during the forecast period. The prominent factor that drives the market growth includes the expansion of the banking and finance sector, growing demand for data privacy and security in end-user verticals, and the significant increase in research and development of encryption technologies. For instance, Duality, launched their open-source fully homomorphic encryption (FHE) library, OpenFHE, in July 2022. This was a collaborative project with other leaders in cryptography including Intel, Samsung, University of California-San Diego and MIT. OpenFHE is considered a next-generation open-source FHE software library providing even greater security, robust privacy protection and wider useability. Homomorphic Encryption offers opportunities for those in audit and assurance to develop advanced analytics, machine learning (ML), and artificial intelligence (AI) technologies by enabling more options for data management. In November 2021, Duality Technologies announced that its privacy-enhanced Duality SecurePlus ML applications are now available to Amazon Web Services (AWS) customers fueled by 3rd Gen Intel Xeon processors, using accelerated homomorphic encryption. These applications allow AWS customers to process new ML workloads in the cloud at scale while protecting sensitive data and preserving privacy. This new capability also ensures that organizations processing sensitive data in the cloud remain compliant with data privacy regulations as they are never directly exposed to the data being processed.
The global homomorphic encryption market is segmented based on its component, type, application, and end user. Based on component the market is bifurcated into solution, and services. Based on application, the market is segmented into secure data computation, data privacy, data monetization, and regulatory compliance. Based on type, the market is categorized into partially homomorphic encryption, somewhat homomorphic encryption, and fully homomorphic encryption. Based on end user, the market is divided into BFSI, IT and telecom, health care, government, educational institutes, and others. Based on component, the solution segment registered a favorable market share. Rising deployment of homomorphic encryption solutions across various industries, such as insurance, banking, and healthcare for solving data protection vulnerability, is projected to drive segment growth.
Based on end user verticals, the healthcare segment is projected to grow at a significant rate. The growth is mainly attributed to the rising adoption of homomorphic encryption solutions by several healthcare enterprises for protecting sensitive patient data as well as securing IP assets associated with drug discovery and research. For instance, in May 2020 Duality Technologies, announced the publication of an article in PNAS (Proceedings of the National Academy of Sciences of the United States of America), on Secure large-scale genome-wide association studies (GWAS) using homomorphic encryption. The study unveiled that homomorphic encryption technology enables collaboration on large-scale genomic and clinical studies while protecting the privacy of the individual participants. The researchers' extrapolations show that this method can perform GWAS on 100,000 individuals and 500,000 Single Nucleotide Polymorphisms (SNPs) in 5.6 hours on a single server node. These performance results are significantly faster than prior secure computation methods with a similar level of accuracy. Moreover, the advances can also be applied to other branches of medical research such as clinical trials, drug repurposing and rare disease studies.
Regional Outlooks
The global homomorphic encryption market is further segmented based on geography, including North America (the US and Canada), Europe (Italy, Spain, Germany, France, and Others), Asia-Pacific (India, China, Japan, South Korea, and Others), and the Rest of the World (the Middle East & Africa and Latin America). The market can be analyzed for a particular region or country level as per the requirement. Among these, the Asia-Pacific region is anticipated to witness stable growth during the forecast period. The growth of the homomorphic encryption market is influenced by the growing demand for secured data transmission, rising investment in cloud-based industries and growing e-governance initiatives in the region.
Global Homomorphic Encryption Market Growth, by Region 2023-2030
Source: OMR Analysis
Among all the regions, North America is anticipated to hold a major market share of the global homomorphic encryption market. The rising number of strategic partnerships for enhancing homomorphic encryption computation along with the increasing private sector investments add to the regional homomorphic encryption market expansion. For instance, in December 2020, IBM Security launched a new service that allows companies to experiment with fully homomorphic encryption (FHE), an emerging technology designed to allow data to remain encrypted even while being processed or analyzed in the cloud or third-party environments. The new IBM Security Homomorphic Encryption Services provide companies with education, expert support, and a testing environment for clients to develop prototype applications that can take advantage of FHE.
Market Players Outlook
The major companies serving the global homomorphic encryption market include Google LLC, IBM Corp., Microsoft Corp., Nvidia, Shieldio, Zaiku Group Ltd., AppsFlyer, and others. The market players are considerably contributing to the market growth by the adoption of various strategies, including mergers and acquisitions, partnerships, collaborations, funding, and new product launches, to stay competitive in the market. For instance, in December 2021, AppsFlyer collaborated with Intel to build the AppsFlyer Privacy Cloud. The AppsFlyer Privacy Cloud allows multiple entities to safely bring their data together based on their own business logic, guidelines and privacy requirements while leveraging a privacy-preserving tech stack including Aggregated Advanced Privacy (AAP), Aggregated Conversion Modeling (ACM), Data Clean Rooms, privacy-preserving cryptographic solutions, Predictive analytics, and others. The collaboration leverages the hardware-enhanced crypto acceleration in Intel's 3rd Generation Intel Xeon Scalable platform to significantly speed up computation for the Privacy Cloud's high-performance advanced homomorphic encryption (HE) applications.
The Report Covers: