Spotlight

Report:

The Forrester Wave™: Data Security Platforms, Q1 2025

How does Forrester define the Data Security Platforms market in 2025?

A data security platform (DSP) typically has a primary control, such as data loss prevention (DLP) or tokenization, that it is most known for, even though it may offer a spectrum of data controls. Organizations commonly have more than one DSP to cover their entire environment, especially those preferring a best-of-breed approach. DSPs are expected to integrate with other DSPs and the rest of the security tech stack to enable a Zero Trust approach. Key dynamics shaping DSPs include AI (both using AI in the DSP and securing data in AI applications) and quantum security preparations (postquantum cryptography readiness and cryptoagility). The evaluation assessed 10 providers across capabilities for data discovery, classification, threat visibility, access controls, and various data protection controls, along with operational areas like manageability, reporting, and investigations.

Key Facts for The Forrester Wave™: Data Security Platforms, Q1 2025 in 2025

How did the Data Security Platforms market evolve in 2025?

What product features are required to be included in this year's evaluation?

What are the common features of top products in the Data Security Platforms space?

No common features specified.

Scope Exclusions

Inclusion Criteria

Vendors must, among other requirements:

Offering Strengths — Relative Weighting

Strategy Strength — Relative Weighting

FAQs

Q: What does this research cover?

A: This research evaluates 10 data security platform providers across current offering capabilities, strategy, and customer feedback. It covers DSP capabilities including data discovery, classification, threat and risk visibility, access controls, data loss prevention, masking, encryption, tokenization, information rights management, and operational areas like reporting, investigations, and manageability. The evaluation examines how DSPs address AI security and governance, quantum security preparations, privacy, and information governance use cases.

Q: Who should use this research?

A: DSP customers should use this evaluation to inform purchase decisions by considering: what's included with the platform and purchase; manageability according to use and staffing requirements; requirements for quantum security in and from the DSP; and requirements for AI data security versus the role of AI in the DSP. Organizations can compare vendors based on their specific priorities using Forrester's interactive provider comparison experience to adapt findings to their needs.

Q: What are the mandatory features of vendors included in this market?

A: Vendors must have: 1) At least $100 million in data security revenue in the past four quarters, 2) Broad data security capabilities for both unstructured and structured data including built-in sensitive data discovery and classification, data risk visibility and insights, and policy enforcement controls, 3) At least 20% of data security revenue from outside their home region, and 4) Significant mindshare among Forrester's enterprise clients with a demonstrated track record of supporting large enterprises.

Q: What are some reasons for not being included in this report?

A:

  • Insufficient data security revenue (less than $100 million in past four quarters)
  • Lack of broad data security capabilities covering both unstructured and structured data
  • Missing built-in capabilities for sensitive data discovery and classification
  • Insufficient data risk visibility and insights capabilities
  • Lack of controls for policy enforcement
  • Insufficient global presence (less than 20% revenue outside home region)
  • Inadequate mindshare among Forrester's enterprise clients
  • Lack of demonstrated track record supporting large enterprises

Q: What should buyers consider when evaluating products in this market?

A:

  • What's really included with the platform and your purchase - understand licensing models, bundled vs. separate offerings, pricing factors (endpoints, data sources, usage-based), and whether capabilities like OCR or threat intelligence are included or add-ons
  • Manageability according to your use and staffing requirements - assess unified policy management, operational areas like investigations and reporting, UI usability, customization needs, and staff skill set requirements
  • Requirements for quantum security in the DSP and from the DSP - evaluate vendor's postquantum readiness and cryptoagility architecture, plus DSP capabilities for cryptographic discovery and inventory
  • Requirements for AI data security versus the role of AI in the DSP - consider how the DSP addresses data security for AI copilots and applications versus developing enterprise AI applications, plus how AI improves DSP capabilities like classification and threat visibility

Q: How has the Data Security Platforms market evolved in 2025?

A:

  • AI use and quantum security preparations are shaking up data security platforms
  • DSPs contend with two key dynamics, each with two sides: AI and quantum security, reflecting these dynamics with new capabilities and sharpened vision
  • Unified policy and unified controls are themes across the DSP landscape
  • Integration requirements extend beyond DSPs to the entire security tech stack for Zero Trust enablement
  • Vendor expectations include addressing tech supplier risk through software bills of materials, software composition analysis reports, and product security incident response teams
  • Postquantum readiness and cryptoagility are becoming critical vendor capabilities
  • AI-driven improvements in data classification, data threat and risk visibility, manageability, and investigations

Q: What differentiates Strength of Offering vs. Strength of Strategy?

A: Strength of Offering (vertical axis) measures the current capabilities and features of the vendor's DSP including data controls (discovery, classification, DLP, encryption, masking, tokenization, etc.), operational capabilities (reporting, investigations, manageability), and enabling use cases (privacy, information governance, AI security). Strength of Strategy (horizontal axis) evaluates the vendor's market vision, innovation approach, product roadmap, partner ecosystem, pricing model, community engagement, and supporting services - essentially their ability to execute and maintain market impact over time.

Reference

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