Between January 2023 and February 2026, there were 94 disclosed acquisitions of privacy-focused technology companies with deal values exceeding $10 million. The total disclosed transaction value was approximately $14.8 billion, with an additional 31 deals where terms were not publicly disclosed. The pace accelerated through the period: 24 deals in 2023, 38 in 2024, and 32 in 2025 (though 2025 included several of the largest transactions).
The privacy tech M&A market has matured beyond the early-stage acqui-hire pattern that characterized the 2018-2022 period, when large technology companies bought small privacy startups primarily for their engineering talent. The 2023-2026 deals are product acquisitions. Acquirers are paying for customer bases, technology, and market position. They are paying revenue multiples that, in many cases, exceed the multiples paid for comparable non-privacy enterprise software companies.
This analysis examines the deal landscape, the multiples, the acquirer logic, and what the M&A patterns reveal about where privacy technology sits in the broader enterprise software market.
The Deal Landscape by Category
Compliance and Governance: 38 Deals, ~$5.4 Billion
The largest category by number of transactions was privacy compliance and governance. These acquisitions followed a clear consolidation pattern: larger enterprise software companies buying specialized privacy tools to add compliance capabilities to their existing platforms.
The anchor transaction was Thales Group’s acquisition of Imperva in February 2024 for $3.6 billion (a deal announced in late 2023 and closed in early 2024). While Imperva was primarily a cybersecurity company, its data security and privacy capabilities – including database activity monitoring, data masking, and sensitive data discovery – were central to the acquisition thesis. Thales integrated Imperva’s data protection technology into its broader cybersecurity portfolio, creating a combined offering that spans encryption, access management, and data privacy.
Other significant deals in this category include Cisco’s acquisition of Oort ($180 million, identity threat detection), Mastercard’s acquisition of Baffin Bay Networks ($155 million, data protection for payment systems), and multiple acquisitions by OneTrust as the company consolidated its position as the dominant privacy compliance platform.
The revenue multiples for compliance and governance acquisitions ranged from 6x to 14x ARR, with a median of 9.2x. These multiples are roughly in line with the broader enterprise SaaS M&A market, suggesting that acquirers view privacy compliance as a feature of enterprise software rather than a premium category.
Data Security and Encryption: 22 Deals, ~$4.2 Billion
Data security acquisitions commanded higher multiples than compliance tools, reflecting the technical differentiation of encryption and data protection technologies. The standout transaction was CrowdStrike’s acquisition of Flow Security for $200 million in March 2024 – a deal valuing the cloud data security company at approximately 28x ARR, well above market norms. CrowdStrike’s thesis was that data security and endpoint security are converging, and that Flow Security’s runtime data monitoring capabilities would complement CrowdStrike’s Falcon platform.
Palo Alto Networks made three privacy-adjacent acquisitions during the period: Dig Security ($400 million, data security posture management), Talon Cyber Security ($625 million, secure enterprise browser), and an undisclosed acquisition of a data classification startup. The Talon acquisition is particularly relevant to the privacy landscape because the secure enterprise browser is a privacy architecture play – it moves the security and privacy boundary from the network perimeter to the browser, enabling zero-trust architecture at the application layer.
Revenue multiples in this category ranged from 10x to 28x ARR, with a median of 15.7x. The premium over compliance tools reflects the technical moats that encryption and data security companies build: proprietary cryptographic implementations, hardware integration, and performance optimizations that are difficult to replicate.
Identity and Access Management: 18 Deals, ~$3.1 Billion
Privacy-preserving identity experienced significant M&A activity, driven by the convergence of identity verification, access management, and privacy regulation. The largest disclosed deal was Thoma Bravo’s acquisition of ForgeRock for $2.3 billion (announced October 2023, closed January 2024). ForgeRock’s identity orchestration platform, which supports decentralized identity standards and privacy-preserving authentication, attracted Thoma Bravo’s interest as part of a broader identity technology roll-up strategy.
Ping Identity (acquired by Thoma Bravo in 2022 for $2.8 billion) was merged with ForgeRock in 2024 to create a combined identity platform. The strategic logic was vertical integration: combining Ping’s workforce identity capabilities with ForgeRock’s consumer identity management to create a platform that could serve both sides of the identity market.
Smaller but technically significant deals in this space included Auth0’s continued integration into Okta’s platform (Okta acquired Auth0 in 2021 for $6.5 billion, and the multi-year integration process continued through 2025 with additional privacy feature development) and several acquisitions of decentralized identity and zero-knowledge proof startups by blockchain infrastructure companies.
Revenue multiples for identity acquisitions ranged from 8x to 18x ARR, with a median of 12.4x. The identity category commands a premium over compliance because identity infrastructure has higher switching costs and deeper integration with customer systems, creating more durable revenue streams.
AI Privacy and Governance: 11 Deals, ~$1.6 Billion
The AI privacy category is the newest M&A market, with the first significant deals appearing in 2024. The defining transaction was Cisco’s acquisition of Robust Intelligence for approximately $350 million in Q4 2024. Robust Intelligence’s AI model security platform – which detects prompt injection, data poisoning, and model manipulation – was integrated into Cisco’s Security Cloud to provide AI security for enterprise customers.
IBM acquired a small AI governance startup (terms undisclosed) in 2025 to bolster its watsonx AI governance capabilities, and ServiceNow made a strategic acquisition in the AI compliance space to integrate AI risk management into its enterprise workflow platform.
Revenue multiples for AI privacy acquisitions ranged from 14x to 25x ARR, with a median of 18.3x – the highest median multiple of any privacy subcategory. The premium reflects both the early-stage nature of the category (where scarcity drives multiples) and the urgency of the buyer need: enterprises deploying AI tools require governance capabilities immediately, and building them internally takes longer than acquiring them.
Encrypted Communications: 5 Deals, ~$0.5 Billion
Encrypted communications saw fewer but strategically significant deals. The most notable was Zoom’s acquisition of Keybase in 2020 (bringing encrypted messaging expertise to Zoom’s platform), which continued to influence the category as Zoom expanded its end-to-end encryption capabilities through 2024-2025, partly building on Keybase’s technology.
The encrypted communications market has proven resistant to M&A consolidation because the most prominent players (Signal, Proton, Threema) are either non-profit, mission-driven, or privately held by founders who are not seeking exits. This resistance to acquisition is itself significant – it suggests that the founders of the most successful encrypted communications companies view their independence as a core feature rather than an obstacle to growth.
What Acquirers Are Paying: The Multiples
The aggregate M&A data reveals a clear hierarchy of valuation multiples across privacy technology subcategories:
AI Privacy and Governance: 18.3x median ARR multiple. Data Security and Encryption: 15.7x median ARR multiple. Identity and Access Management: 12.4x median ARR multiple. Compliance and Governance: 9.2x median ARR multiple.
This hierarchy maps directly to technical differentiation. The categories with the highest multiples are those where the acquired company has the most defensible technical moat: proprietary AI security models, custom cryptographic implementations, and hardware-integrated encryption. The category with the lowest multiples – compliance and governance – is also the most commoditized, with multiple companies offering similar dashboards, consent management tools, and regulatory templates.
The hierarchy also maps to the architectural versus policy distinction. Categories that change the architecture of data processing (encryption, AI security, hardware-enforced protection) command premiums over categories that manage data within existing architectures (compliance dashboards, consent tools, audit systems). The privacy tech funding patterns show the same architectural premium on the investment side.
Acquirer Profiles: Who Is Buying and Why
The M&A data reveals five distinct acquirer archetypes, each with a different strategic motivation.
Archetype 1: Security Platform Consolidators
CrowdStrike, Palo Alto Networks, Fortinet, and Cisco are systematically acquiring privacy capabilities to add to their existing security platforms. The thesis: privacy and security are converging, and the enterprise security platform that also provides data privacy capabilities will win the broader security budget.
These acquirers are willing to pay premium multiples (15-25x ARR) because they can distribute the acquired product across their existing customer base. A privacy data classification tool that has $10 million in ARR as a standalone product may generate $100 million in revenue once distributed through a security platform with 10,000 enterprise customers.
Archetype 2: Enterprise Software Incumbents
Salesforce, ServiceNow, SAP, and Oracle have made selective privacy acquisitions to embed privacy capabilities into their platforms. The motivation is defensive: as privacy regulations tighten and enterprise buyers add privacy requirements to procurement checklists, an enterprise software platform that lacks privacy capabilities risks being excluded from procurement.
These acquirers pay moderate multiples (8-14x ARR) and are primarily interested in checkbox capabilities rather than deep technical innovation. They need their platform to satisfy privacy requirements, not to lead the privacy market.
Archetype 3: Private Equity Roll-Ups
Thoma Bravo, Vista Equity Partners, and Insight Partners have been the most active financial acquirers in privacy tech. Their strategy is classic PE consolidation: acquire multiple companies in adjacent subcategories, merge them into a combined platform, reduce cost through operational integration, and sell the combined entity at a higher multiple than the individual components.
Thoma Bravo’s combination of Ping Identity and ForgeRock is the most visible example. The PE firms pay disciplined multiples on entry (8-12x ARR) and target exit multiples of 15-20x through platform consolidation and margin expansion.
Archetype 4: Cloud and AI Providers
Microsoft, Google, and Amazon have been notably selective acquirers in privacy tech, as discussed in the cloud revenue analysis. Their acquisitions tend to be small (under $100 million) and focused on specific capabilities that can be integrated into their cloud platforms as features. The strategic logic is to provide enough privacy capability to satisfy enterprise procurement requirements without building privacy infrastructure that would cannibalize their core data-dependent revenue.
Archetype 5: Data Brokers and Advertising Technology
The most intellectually interesting acquirer category is companies whose core business model involves data monetization. Acxiom (acquired by IPG in 2018, now Kinesso), LiveRamp, and several advertising technology companies have acquired privacy tools to manage the regulatory constraints on their data practices. These acquisitions are purely defensive: buying the tools to ensure continued legal operation of a business model that privacy regulation is designed to constrain.
What Is Not Being Acquired
The deals that are not happening are as informative as the deals that are. Several categories of privacy technology have seen minimal M&A activity despite technical significance.
Zero-persistence infrastructure – systems designed to process data without retaining it – has seen no significant acquisitions. This is consistent with the investor thesis that zero-persistence is an architectural competitor to existing cloud models rather than a feature that can be bolted onto them. Hyperscalers do not acquire technology that eliminates the data accumulation their revenue depends on.
Homomorphic encryption companies have seen limited acquisition activity despite growing technical maturity. The computational overhead of FHE means it is not yet a plug-and-play addition to existing platforms, and acquirers prefer technologies that can be integrated within a single product cycle.
Decentralized identity companies built on blockchain infrastructure have been difficult acquisition targets because their value depends on network effects and community governance that do not transfer well to centralized corporate ownership. An acquirer buying a decentralized identity protocol risks destroying the decentralization that gives the protocol its value.
These gaps suggest that the most architecturally radical privacy technologies will grow as independent companies rather than being absorbed into existing platforms. The M&A market is efficient at absorbing incremental privacy improvements. It is structurally unable to absorb privacy architectures that challenge the data-accumulation model on which the acquirers depend.
The IPO Alternative
The M&A exit path is not the only option for privacy tech companies. Several privacy companies are positioned for potential public offerings, and the IPO market for privacy-adjacent companies has shown receptivity.
Rubrik, the data security and management company, went public in April 2024 at a $5.6 billion valuation, achieving a first-day premium that validated public market appetite for data protection companies. SentinelOne, with increasingly prominent data privacy capabilities, has maintained a public market valuation above $15 billion. CyberArk, after acquiring Venafi for $1.54 billion in 2024, trades at approximately $18 billion.
The pipeline of potential privacy tech IPOs includes OneTrust (last private valuation: $5.1 billion), BigID (last private valuation: $1.25 billion), and Drata (last private valuation: $2 billion). If these companies go public in 2026-2027, the privacy tech sector will have its first cohort of publicly traded pure-play privacy companies, creating a benchmark for market valuation that has been absent.
The Stealth Cloud Perspective
The M&A landscape confirms a pattern we have observed from the founding of Stealth Cloud: the enterprise technology industry is willing to pay significant premiums for privacy technology that can be integrated into existing data-accumulating architectures. It is not willing to acquire – and in many cases is structurally unable to acquire – privacy technology that replaces those architectures.
This is the M&A market telling privacy-first companies something important: if your architecture is genuinely different, you will not be acquired. You will have to build a standalone business. The privacy premium research shows that the market to support that standalone business exists. The M&A data shows that the exit path for architecturally radical privacy companies is more likely to be an IPO or sustained independent growth than acquisition by an incumbent.
Stealth Cloud’s zero-knowledge, zero-persistence architecture falls squarely in the category of technology that incumbents cannot absorb. A cloud provider that derives revenue from processing customer data through its infrastructure will not acquire a company whose entire value proposition is ensuring that no provider can access customer data. The acquisition would be self-defeating.
This is not a limitation. It is a strategic advantage. The privacy technologies that can be acquired by incumbents will be acquired, integrated, and diluted. The ones that cannot be acquired – the ones that represent genuine architectural alternatives – will have to grow on their own terms. The M&A data suggests that the most durable privacy companies will be the ones that the incumbents cannot buy, because those are the ones building something the incumbents cannot replicate within their existing business models.