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市场调查报告书
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1681538

隐私强化技术市场:现状分析与未来预测 (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个工作天内

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简介目录

预计在预测期内(2024-2032 年),隐私增强技术市场将以 25% 的显着复合年增长率成长。当今世界,由于资料风险的增加以及有关资料安全保护和处理的规则和法规的强制要求,对 PET 的需求正在增长。这些技术包括同态加密、安全多方运算(SMPC)、差分隐私等,以解决商业环境中资料的安全使用问题。此外,人工智慧分析和注重隐私的数位广告的日益增长的趋势正在推动对隐私保护计算的需求。

例如,2022 年 7 月,隐私保护资料协作领域的领导者 Duality Technologies 宣布与密码学领域的领先公司合作推出先进的、开源的、全同态加密 (FHE) 库。英特尔、三星、加州大学圣地牙哥分校和麻省理工学院正在与 Duality 合作,将 FHE 的这一重要里程碑推向市场。

根据组件,市场细分为软体和服务。 2023 年,软体将占据很大的市场占有率。企业使用 PET 软体进行资料传输、训练 AI 模型以及满足 GDPR 等合规性要求。此外,基于云端的 PET 解决方案的日益普及使得企业能够提高资料安全性,而无需对其 IT 基础设施进行重大更改。

2023 年 7 月,新加坡资讯通讯媒体发展管理局 (IMDA) 将与 Google 合作推出隐私增强技术 (PET) x 隐私沙盒,以支持希望试行 PET 计画的公司。 PET 使企业能够从其资料中提取价值并确保个人资料和其他商业敏感资讯的安全。

根据类型,市场分为加密技术、混淆技术、统计技术、基于系统的问责技术和其他技术。加密技术将在 2023 年占据很大的市场占有率。 PET 市场正在成长,这得益于用于计算、加密和隐私零知识证明的密码技术。为了在保护加密资料隐私的同时执行计算,在保护 MPC 的同时进行同态加密。由于法规中保密性的重要性,区块链、医疗保健和金融业的采用呈指数级增长。 2022 年 10 月 13 日,Vaultree 宣布发布针对 Google AlloyDB 的资料使用中加密。身为 Google AlloyDB 的发布合作伙伴,Vaultree 将世界上第一个全功能加密解决方案与 Google 的 AlloyDB for PostgreSQL 结合。用户现在可以在云端试用 Vaultree 完全同质、可搜寻的加密技术,这代表着加密标准的突破,将实现下一代加密和资料保护。

根据应用,市场细分为合规管理、风险管理、报告和分析等。预计预测期内(2024-2032 年)该报告和分析将以显着的复合年增长率增长。 PET 主要用于报告和分析加密数据,以保护敏感资料不被未经授权的个人取得。随着人工智慧在分析和大数据领域的应用日益广泛,使用 PET 已成为使用有价值数据时满足法律要求的必要条件。为了维护客户隐私,组织使用差异隐私和联合学习来分析客户行为。这个分析过程必须私下进行,因此在零售和医疗保健等多个领域都有发展。

根据最终用户,市场细分为 BFSI、医疗保健、电信、政府、零售和其他。 2023 年,BFSI(银行、金融服务和保险)将占据相当大的市场占有率。 BFSI 行业正在推动 PET 的采用,透过保护性立法确保银行业务安全可靠并防止诈欺。推动成长的关键因素是不断增加的网路安全威胁等级、新的更严格的法规以及透过网路管道进行个人安全银行业务的需求。

为了更了解隐私增强技术的市场采用情况,我们根据北美(美国、加拿大和北美其他地区)、欧洲(德国、法国、英国、西班牙、义大利和欧洲其他地区)、亚太地区(中国、日本、印度和亚太其他地区)和世界其他地区的全球影响力对市场进行了分析。预计预测期内(2024-2032 年)亚太地区将以显着的复合年增长率成长。亚太地区 PET 技术市场正在快速成长。这是因为资料保护立法在各个司法管辖区都在不断发展,特别是中国的《个人资讯保护法》(PIPL)和印度的《数位个人资料保护法》(DPDP)。在金融和电信领域,以隐私为重点的人工智慧和数位银行解决方案正在推动对 PET 的需求。企业组织正在增加对基于区块链的身份解决方案和安全的人工智慧训练系统的投资,以提高资料隐私。公共组织和企业正在部署安全多方运算 (MPC) 以及机密运算解决方案来保护敏感资讯。

市场上的主要参与者包括IBM、微软、Google、SAP、思科系统、Sedicii Innovations、Enver、Unacast、Silence Laboratories 和 DECENTRIQ。

目录

第1章 市场概要

  • 市场定义
  • 主要目的
  • 相关利益者
  • 限制事项

第2章 分析方法或前提条件

  • 分析流程
  • 分析方法
  • 受访者简介

第3章 摘要整理

  • 产业摘要
  • 各市场区隔预测
    • 市场成长的强度
  • 地区展望

第4章 市场动态

  • 促进因素
  • 机会
  • 阻碍因素
  • 趋势
  • PESTEL分析
  • 需求面分析
  • 供给面分析
    • 企业合併·收购 (M&A)
    • 投资情势
    • 产业洞察:领先的新创公司及其独特的策略

第5章 价格分析

  • 价格分析:各地区
  • 价格的影响因素

第6章 全球隐私强化技术的市场收益 (2022~2032年)

第7章 市场分析:各零件

  • 软体
  • 服务

第8章 市场分析:类型

  • 加密技术
  • 难读化技术
  • 统计技术
  • 系统为基础的·责任制技术
  • 其他技术

第9章 市场分析:各用途

  • 遵守管理
  • 风险管理
  • 报告·分析
  • 其他

第10章 市场分析:各终端用户

  • BFSI
  • 医疗
  • IT·通讯
  • 政府
  • 零售业
  • 其他

第11章 市场分析:各地区

  • 北美
    • 美国
    • 加拿大
    • 其他北美地区
  • 欧洲
    • 德国
    • 法国
    • 英国
    • 西班牙
    • 义大利
    • 其他欧洲地区
  • 亚太地区
    • 中国
    • 日本
    • 印度
    • 其他亚太地区
  • 全球其他地区

第12章 价值链分析

  • 限制分析
  • 市场参与企业的一览

第13章 竞争情形

  • 竞争仪表板
  • 企业的市场定位分析
  • 波特的五力分析

第14章 企业简介

  • IBM
    • 企业概要
    • 主要的财务指标
    • SWOT分析
    • 产品系列
    • 近几年趋势
  • Microsoft
  • Google
  • SAP
  • Cisco Systems, Inc.
  • Sedicii Innovations Ltd.
  • Enveil
  • Unacast
  • Silence Laboratories
  • DECENTRIQ

第15章 缩写与前提条件

第16章 附录

简介目录
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