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Basis Theory

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Privacy-first data security platform delivering tokenization and vaulting to help organizations protect personal data and reduce PCI scope.

Overview

Basis Theory is a data security and privacy platform that enables organizations to protect personal data through tokenization and vaulting, while embedding privacy by design across product development. With ISO 27701 certification and a focus on privacy as a product feature, Basis Theory serves enterprises and developers who need scalable data protection, compliant data governance, and flexible tokenization to reduce PCI scope and support GDPR, CCPA, and other global privacy standards.

Mission statement

To bake privacy into every product by design, providing secure data tokenization and vaulting that protect PII, support global privacy standards, and enable scalable, privacy-centered platforms.

What we offer

Basis Theory Platform

Protect personal data with tokenization and achieve compliance with global privacy standards.

basistheory.com/platform

Market segments

Market size by segment

Growth potential (CAGR)

Payment tokenization and vaulting

3.4 Billion USD20% CAGR

Secure storage and management of network tokens, PSP tokens, and card data to enable PCI‑compliant recurring billing and seamless return‑customer checkout.

Payment orchestration

3.11 Billion USD24% CAGR

Platforms that unify routing, processor management, fallback recovery, and optimization to increase authorization rates and reduce payment failures.

PCI compliance and encryption

4.1 Billion USD10.1% CAGR

Capabilities to reduce PCI scope and protect cardholder data using network and universal tokens, PCI-validated point-to-point encryption, and compliance support resources.

Data privacy and compliance management

6.5 Billion USD13% CAGR

Capabilities to automate privacy workflows, data subject request handling, policy enforcement, and regulatory reporting to maintain compliance with GDPR, CCPA, and other data protection requirements.

More information about our offering

Basis Theory Platform

Basis Theory Platform is a data security and privacy platform that enables organizations to protect personal data through tokenization and vaulting, embedding privacy by design across product development. It supports ISO 27701 certification and helps reduce PCI scope while enabling GDPR, CCPA, and other global privacy standards. The platform includes a unified vault component that secures payment data by tokenization and ensures PCI compliance through centralized controls, allowing for flexible routing across multiple payment processors.

  • Secure Sensitive Data
    Protects customer data with secure tokenization, enhancing data security during transactions.
  • Simplify PCI Compliance
    Reduce the administrative burden of PCI compliance while ensuring adherence to security standards across your organization.
  • Enable Flexible Processor Switching
    Easily adapt to changing business needs by integrating new payment processors without disruption.
  • Consolidate Payment Data
    Simplifies management by centralizing all payment tokens in one secure location, enhancing accessibility and operational efficiency.
  • Embed Privacy in Development
    Integrates privacy considerations into early stages of product design, enhancing user trust and compliance.
  • Improve Transaction Success
    Directly impacts revenue recovery by maintaining accurate payment information for recurring payments.
  • Upgrade Payment Security
    Enhances security by using unique tokens issued by card networks, reducing fraud risk.
  • Ensure Privacy Compliance
    Demonstrates adherence to international privacy standards for better governance of personal data.
  • Maximize Payment Success
    Increase revenue by automatically retrying transactions that initially failed, optimizing your payment success rate.
  • Streamline Payment Processing
    Facilitates seamless transactions across different payment service providers globally.
  • Enhance Operational Efficiency
    Reduces latency and facilitates quicker access to data for businesses managing large volumes of transactions.

References

Methodology and sourcing behind the market figures shown above.

Payment tokenization and vaulting

Primary sources report the global tokenization market at $6.8B (2024) with ~19.6% CAGR and other forecasts placing the market smaller but with higher CAGR (21–26%). Because payment tokenization and vaulting is identified as the largest application within tokenization, I allocated roughly 50% of the total tokenization market to the payment tokenization & vaulting segment (6.8B * 50% ≈ $3.4B). I selected a conservative growth potential of ~20% CAGR, aligned with the 19.6% (MRFR) figure and within ranges from other forecasts, reflecting ongoing payments digitization, recurring-billing demand, and network-token adoption.

Payment orchestration

Primary anchor is MarketGrowthReports reporting a global market size of USD 3,111.39 million in 2026. Forecast CAGRs reported across sources range ~23.2%–25.8%; a mid-point (~24% CAGR) represents the market’s near-term growth potential.

PCI compliance and encryption

Estimate combines explicit market figures in the search results for PCI compliance software (USD 2.39B, 2024) and PCI compliance services (USD 1.75B, 2025) to represent the broader PCI compliance & encryption segment (~USD 4.14B, rounded to 4.1). Growth potential uses the software CAGR (9.81%) and services CAGR (10.54%), weighted by their reported sizes to produce an estimated CAGR ≈10.1%. A lower published CAGR (6.9%) appears in an alternate source and was noted as a conservative comparator.

Data privacy and compliance management

Estimated current market size (approx. 2025) uses the central tendency of multiple market reports in the search results: several sources cluster around USD 5–7.5 billion for data-privacy/privacy-management software, while some reports with broader scopes report much higher or lower values. I selected ~USD 6.5B as a conservative midpoint of 2025 estimates. For growth potential, I chose a conservative CAGR of 13.0%, reflecting the consensus range in specialized reports (≈9.7%–14.2%) while excluding higher outliers that likely reflect expanded scopes (broader governance/security markets or aggressive forecast assumptions).

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