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市場調查報告書
商品編碼
1681538

隱私強化技術市場:現狀分析與未來預測 (2024年～2032年)

Privacy Enhancing Technologies Market: Current Analysis and Forecast (2024-2032)
出版日期: | 出版商: UnivDatos Market Insights Pvt Ltd | 英文 147 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

預計在預測期內（2024-2032 年），隱私增強技術市場將以 25% 的顯著複合年增長率成長。當今世界，由於資料風險的增加以及有關資料安全保護和處理的規則和法規的強制要求，對 PET 的需求正在增長。這些技術包括同態加密、安全多方運算（SMPC）、差分隱私等，以解決商業環境中資料的安全使用問題。此外，人工智慧分析和注重隱私的數位廣告的日益增長的趨勢正在推動對隱私保護計算的需求。

例如，2022 年 7 月，隱私保護資料協作領域的領導者 Duality Technologies 宣布與密碼學領域的領先公司合作推出先進的、開源的、全同態加密 (FHE) 庫。英特爾、三星、加州大學聖地牙哥分校和麻省理工學院正在與 Duality 合作，將 FHE 的這一重要里程碑推向市場。

根據組件，市場細分為軟體和服務。 2023 年，軟體將佔據很大的市場佔有率。企業使用 PET 軟體進行資料傳輸、訓練 AI 模型以及滿足 GDPR 等合規性要求。此外，基於雲端的 PET 解決方案的日益普及使得企業能夠提高資料安全性，而無需對其 IT 基礎設施進行重大更改。

2023 年 7 月，新加坡資訊通訊媒體發展管理局 (IMDA) 將與 Google 合作推出隱私增強技術 (PET) x 隱私沙盒，以支持希望試行 PET 計畫的公司。 PET 使企業能夠從其資料中提取價值並確保個人資料和其他商業敏感資訊的安全。

根據類型，市場分為加密技術、混淆技術、統計技術、基於系統的問責技術和其他技術。加密技術將在 2023 年佔據很大的市場佔有率。 PET 市場正在成長，這得益於用於計算、加密和隱私零知識證明的密碼技術。為了在保護加密資料隱私的同時執行計算，在保護 MPC 的同時進行同態加密。由於法規中保密性的重要性，區塊鏈、醫療保健和金融業的採用呈指數級增長。 2022 年 10 月 13 日，Vaultree 宣布發布針對 Google AlloyDB 的資料使用中加密。身為 Google AlloyDB 的發布合作夥伴，Vaultree 將世界上第一個全功能加密解決方案與 Google 的 AlloyDB for PostgreSQL 結合。用戶現在可以在雲端試用 Vaultree 完全同質、可搜尋的加密技術，這代表著加密標準的突破，將實現下一代加密和資料保護。

根據應用，市場細分為合規管理、風險管理、報告和分析等。預計預測期內（2024-2032 年）該報告和分析將以顯著的複合年增長率增長。 PET 主要用於報告和分析加密數據，以保護敏感資料不被未經授權的個人取得。隨著人工智慧在分析和大數據領域的應用日益廣泛，使用 PET 已成為使用有價值數據時滿足法律要求的必要條件。為了維護客戶隱私，組織使用差異隱私和聯合學習來分析客戶行為。這個分析過程必須私下進行，因此在零售和醫療保健等多個領域都有發展。

根據最終用戶，市場細分為 BFSI、醫療保健、電信、政府、零售和其他。 2023 年，BFSI（銀行、金融服務和保險）將佔據相當大的市場佔有率。 BFSI 行業正在推動 PET 的採用，透過保護性立法確保銀行業務安全可靠並防止詐欺。推動成長的關鍵因素是不斷增加的網路安全威脅等級、新的更嚴格的法規以及透過網路管道進行個人安全銀行業務的需求。

為了更了解隱私增強技術的市場採用情況，我們根據北美（美國、加拿大和北美其他地區）、歐洲（德國、法國、英國、西班牙、義大利和歐洲其他地區）、亞太地區（中國、日本、印度和亞太其他地區）和世界其他地區的全球影響力對市場進行了分析。預計預測期內（2024-2032 年）亞太地區將以顯著的複合年增長率成長。亞太地區 PET 技術市場正在快速成長。這是因為資料保護立法在各個司法管轄區都在不斷發展，特別是中國的《個人資訊保護法》（PIPL）和印度的《數位個人資料保護法》（DPDP）。在金融和電信領域，以隱私為重點的人工智慧和數位銀行解決方案正在推動對 PET 的需求。企業組織正在增加對基於區塊鏈的身份解決方案和安全的人工智慧訓練系統的投資，以提高資料隱私。公共組織和企業正在部署安全多方運算 (MPC) 以及機密運算解決方案來保護敏感資訊。

市場上的主要參與者包括IBM、微軟、Google、SAP、思科系統、Sedicii Innovations、Enver、Unacast、Silence Laboratories 和 DECENTRIQ。

目錄

第1章 市場概要

  • 市場定義
  • 主要目的
  • 相關利益者
  • 限制事項

第2章 分析方法或前提條件

  • 分析流程
  • 分析方法
  • 受訪者簡介

第3章 摘要整理

  • 產業摘要
  • 各市場區隔預測
    • 市場成長的強度
  • 地區展望

第4章 市場動態

  • 促進因素
  • 機會
  • 阻礙因素
  • 趨勢
  • PESTEL分析
  • 需求面分析
  • 供給面分析
    • 企業合併·收購 (M&A)
    • 投資情勢
    • 產業洞察：領先的新創公司及其獨特的策略

第5章 價格分析

  • 價格分析:各地區
  • 價格的影響因素

第6章 全球隱私強化技術的市場收益 (2022～2032年)

第7章 市場分析:各零件

  • 軟體
  • 服務

第8章 市場分析:類型

  • 加密技術
  • 難讀化技術
  • 統計技術
  • 系統為基礎的·責任制技術
  • 其他技術

第9章 市場分析:各用途

  • 遵守管理
  • 風險管理
  • 報告·分析
  • 其他

第10章 市場分析:各終端用戶

  • BFSI
  • 醫療
  • IT·通訊
  • 政府
  • 零售業
  • 其他

第11章 市場分析:各地區

  • 北美
    • 美國
    • 加拿大
    • 其他北美地區
  • 歐洲
    • 德國
    • 法國
    • 英國
    • 西班牙
    • 義大利
    • 其他歐洲地區
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 其他亞太地區
  • 全球其他地區

第12章 價值鏈分析

  • 限制分析
  • 市場參與企業的一覽

第13章 競爭情形

  • 競爭儀表板
  • 企業的市場定位分析
  • 波特的五力分析

第14章 企業簡介

  • IBM
    • 企業概要
    • 主要的財務指標
    • SWOT分析
    • 產品系列
    • 近幾年趨勢
  • Microsoft
  • Google
  • SAP
  • Cisco Systems, Inc.
  • Sedicii Innovations Ltd.
  • Enveil
  • Unacast
  • Silence Laboratories
  • DECENTRIQ

第15章 縮寫與前提條件

第16章 附錄

簡介目錄
Product Code: UMTI213181

PETs are defined as any methods or tools that can be used to enhance the privacy of data while at the same time allowing the processing, sharing, or analysis of such data. Some of these technologies are homomorphic encryption, secure multi-party computation (MPC), differential privacy, and zero-knowledge proofs (ZKP) to ensure organizations maintain data privacy without having to reveal raw values.

The Privacy Enhancing Technologies Market is expected to grow with a significant CAGR of 25% during the forecast period (2024-2032). The demand for PETs is increasing in today's world because of increasing data risks and mandatory rules and regulations to protect and handle data security. These techniques include homomorphic encryption, SMPC (Secure Multi-Party Computation), and differential privacy to address this problem of safe use of data in a business environment. It is further supported by the increasing trend towards AI for analytics and privacy-conscious digital advertisement resulting in the need for privacy-preserving computation.

For example, in July 2022, Duality Technologies, the leader in privacy-preserving data collaboration announced the launch of their highly advanced open-source fully homomorphic encryption (FHE) library in cooperation with a who's who in cryptography. Intel, Samsung, the University of California - San Diego, and MIT join Duality in bringing to market this significant milestone in FHE.

Based on the component, the market is segmented into software and services. The software held a significant share of the market in 2023. PET software is used in businesses for data transfer, AI model training, and meeting compliance requirements such as GDPR. Also, the rising adoption of cloud-based PET solutions helps companies improve data security without the need for extensive changes in IT infrastructure.

In July 2023, The Infocomm Media Development Authority of Singapore (IMDA) partnered with Google to launch privacy-enhancing technologies (PET) x Privacy Sandbox to support businesses that wish to pilot PET projects. PETs allow businesses to extract value from data and ensure the protection of personal data and other commercially sensitive information.

Based on typology, the market is segmented into cryptographic technologies, obfuscation technologies, statistical technologies, systems-based and accountability technologies, and miscellaneous technologies. Cryptographic technologies held a significant share of the market in 2023. The PET market expands due to being supported by cryptographic technologies for computation, encryption, and zero-knowledge proofs of privacy. To conduct computations on encrypted data while preserving the privacy of the said data, there is homomorphic encryption while securing MPC. Blockchain adoption is growing exponentially in blockchain, healthcare, and finance industries because of the importance of confidentiality in regulation. On October 13, 2022, Vaultree announced the release of its Data-in-Use Encryption for Google's AlloyDB. As a launch partner with Google's AlloyDB, the offering pairs the world's first fully functional Encryption-in-use solution powered by Vaultree with Google's AlloyDB for PostgreSQL. Users will now be able to trial running Vaultree's fully homomorphic and searchable encryption technology in the cloud, representing a breakthrough in encryption standards to enable next-generation encryption and data protection.

Based on the application, the market is segmented into compliance management, risk management, reporting & analytics, and others. Reporting & analytics are expected to grow with a significant CAGR during the forecast period (2024-2032). PETs mainly help in reporting as well as analyzing the encrypted data since the sensitive data is protected from unauthorized individuals. The increasing application of AI in analytics and big data requires the use of PET to address legal requirements when using valuable data. To maintain the privacy of customers, organizations use differential privacy and federated learning for analyzing customer's behavior. It is implemented in various sectors such as retail and health sector because such analyzing processes must be performed privately.

Based on end users, the market is segmented into BFSI, healthcare, telecommunication, government, retail, and others. BFSI (Banking, Financial Services, and Insurance) held a considerable share of the market in 2023. The adoption of PET is promoted by the BFSI industry by guaranteeing safe, protected banking and preventing fraud through Protection Laws. The significant factors contributing to the growth are an increase in the threat levels to cyber security, new and more stringent regulations, and the need for personal and secure banking through Internet channels.

For a better understanding of the market adoption of Privacy Enhancing Technologies, the market is analyzed based on its worldwide presence in countries such as North America (U.S., Canada, and the Rest of North America), Europe (Germany, France, U.K., Spain, Italy, Rest of Europe), Asia-Pacific (China, Japan, India, Rest of Asia-Pacific), Rest of World. Asia-Pacific is expected to grow with a significant CAGR during the forecast period (2024-2032). The Asia-Pacific market for PET technology is growing rapidly because data protection legislation keeps rising across regions particularly in China through the Personal Information Protection Law (PIPL)and India through the Digital Personal Data Protection (DPDP) Act. The demand for PETs in the finance and telecom sectors has grown because of privacy-oriented AI and digital banking solutions. Business organizations are expanding their investments toward blockchain-based identity solutions as well as secure AI training systems to boost data privacy. Public entities along with businesses implement secure multi-party computation (MPC) together with confidential computing solutions to safeguard their sensitive information.

Some of the major players operating in the market include IBM, Microsoft, Google, SAP, Cisco Systems, Inc., Sedicii Innovations Ltd., Enveil, Unacast, Silence Laboratories, and DECENTRIQ.

TABLE OF CONTENTS

1.MARKET INTRODUCTION

  • 1.1. Market Definitions
  • 1.2. Main Objective
  • 1.3. Stakeholders
  • 1.4. Limitation

2.RESEARCH METHODOLOGY OR ASSUMPTION

  • 2.1. Research Process of the Privacy Enhancing Technologies Market
  • 2.2. Research Methodology of the Privacy Enhancing Technologies Market
  • 2.3. Respondent Profile

3.EXECUTIVE SUMMARY

  • 3.1. Industry Synopsis
  • 3.2. Segmental Outlook
    • 3.2.1. Market Growth Intensity
  • 3.3. Regional Outlook

4.MARKET DYNAMICS

  • 4.1. Drivers
  • 4.2. Opportunity
  • 4.3. Restraints
  • 4.4. Trends
  • 4.5. PESTEL Analysis
  • 4.6. Demand Side Analysis
  • 4.7. Supply Side Analysis
    • 4.7.1. Merger & Acquisition
    • 4.7.2. Investment Scenario
    • 4.7.3. Industry Insights: Leading Startups and Their Unique Strategies

5.PRICING ANALYSIS

  • 5.1. Regional Pricing Analysis
  • 5.2. Price Influencing Factors

6.GLOBAL PRIVACY ENHANCING TECHNOLOGIES MARKET REVENUE (USD BN), 2022-2032F

7.MARKET INSIGHTS BY COMPONENT

  • 7.1. Software
  • 7.2. Services

8.MARKET INSIGHTS BY TYPOLOGY

  • 8.1. Cryptographic Technologies
  • 8.2. Obfuscation Technologies
  • 8.3. Statistical Technologies
  • 8.4. Systems-Based and Accountability Technologies
  • 8.5. Miscellaneous Technologies

9.MARKET INSIGHTS BY APPLICATION

  • 9.1. Compliance Management
  • 9.2. Risk Management
  • 9.3. Reporting & Analytics
  • 9.4. Others

10.MARKET INSIGHTS BY END USER

  • 10.1. BFSI
  • 10.2. Healthcare
  • 10.3. IT and Telecommunication
  • 10.4. Government
  • 10.5. Retail
  • 10.6. Others

11.MARKET INSIGHTS BY REGION

  • 11.1. North America
    • 11.1.1. U.S.
    • 11.1.2. Canada
    • 11.1.3. Rest of North America
  • 11.2. Europe
    • 11.2.1. Germany
    • 11.2.2. France
    • 11.2.3. UK
    • 11.2.4. Spain
    • 11.2.5. Italy
    • 11.2.6. Rest of Europe
  • 11.3. Asia-Pacific
    • 11.3.1. China
    • 11.3.2. Japan
    • 11.3.3. India
    • 11.3.4. Rest of APAC
  • 11.4. Rest of the World

12.VALUE CHAIN ANALYSIS

  • 12.1. Marginal Analysis
  • 12.2. List of Market Participants

13.COMPETITIVE LANDSCAPE

  • 13.1. Competition Dashboard
  • 13.2. Competitor Market Positioning Analysis
  • 13.3. Porter Five Forces Analysis

14.COMPANY PROFILES

  • 14.1. IBM
    • 14.1.1. Company Overview
    • 14.1.2. Key Financials
    • 14.1.3. SWOT Analysis
    • 14.1.4. Product Portfolio
    • 14.1.5. Recent Developments
  • 14.2. Microsoft
  • 14.3. Google
  • 14.4. SAP
  • 14.5. Cisco Systems, Inc.
  • 14.6. Sedicii Innovations Ltd.
  • 14.7. Enveil
  • 14.8. Unacast
  • 14.9. Silence Laboratories
  • 14.10. DECENTRIQ

15.ACRONYMS & ASSUMPTION

16.ANNEXURE