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Privacy-Enhancing Technologies (PETs) in Enterprise Data Management

Publisher Frost & Sullivan
Published Nov 20, 2025
Length 49 Pages
SKU # MC20611183

Description

The 2025 edition of privacy-enhancing technologies (PETs) explores cutting-edge innovations that redefine secure data collaboration and regulatory compliance across industries. PETs enable organizations to analyze, process, and share sensitive data without compromising privacy—using advanced methods such as differential privacy, federated learning, homomorphic encryption, and secure multi-party computation.

Emerging trends highlight the integration of AI-driven privacy automation, adaptive data protection, and decentralized privacy frameworks designed for cross-border operations and hybrid environments. With growing regulatory emphasis from GDPR, CCPA, and global AI governance frameworks, PETs have become central to privacy-by-design strategies. The rise of cloud computing, IoT, and digital transformation further fuels demand, while challenges include implementation cost and complexity

Real-world deployments across healthcare, finance, government, and telecommunications demonstrate the ability of PETs to achieve 90 to 96% implementation success with zero data leakage, improving both compliance and operational trust. As PETs evolve toward intelligent, autonomous, and self-healing privacy systems, they are set to form the backbone of secure, ethical, and scalable digital ecosystems by 2030.

Table of Contents

49 Pages
    • Why Is It Increasingly Difficult to Grow?
    • The Strategic Imperative 8TM
    • The Impact of the Top 3 Strategic Imperatives in the field of PETs
    • Growth Opportunities Fuel the Growth Pipeline EngineTM
    • Research Methodology
    • Scope of Analysis
    • Segmentation
    • Growth Drivers
    • Growth Restraints
    • Privacy Enhancing Technologies in Enterprise Data Management
    • PETs & Emerging Data Ecosystems (AI/Global Flows)
    • Privacy Enhancing Technologies Pathways
    • Key Privacy-Enhancing Technologies (PETs) for Securing Enterprise Data
    • Privacy-Enhancing Technologies: User vs. Enterprise Benefits
    • Six Principles of GDPR for Enterprise Data and Privacy Protection
    • Best Practices for Deploying PETs for Securing Enterprise Data
    • Industry Applications
    • Types of PETs for Securing Enterprise Data
    • PETs: Adoption Timeline and Industry Impact (2025-2030)
    • Global Momentum: Leading PET Innovators and Their 2025 Investment Highlights
    • Key Milestones in the Evolution of PET (2018-2033)
    • ROI & Cost Analysis for PET Deployment
    • PETs Case-Based Insights: Real-World Implementation Success Stories & Strategic Analysis
    • PETs: Industry Case Studies
    • Transforming the Future of Privacy-Enhancing Technologies with Adaptive Privacy Controls, AI-Driven Risk Management, and Decentralized Data Governance
    • Growth Opportunity 1: Federated Learning for Privacy-First AI Deployment
    • Growth Opportunity 2: Unlocking Confidential Multi-Party Collaboration with Secure Multi-Party Computation (SMPC)
    • Growth Opportunity 3: Monetize Privacy-Preserving Analytics with Homomorphic Encryption (HE)
    • Technology Readiness Levels (TRL): Explanation
    • Benefits and Impacts of Growth Opportunities
    • Next Steps

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