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SaaS Valuation Multiples

Explore private market SaaS valuation multiples with benchmarks structured by stage and region. Updated quarterly.

Coverage
EV/Sales; EV/EBITDA
Valuation Multiples
Private Market
Benchmarks
Stage & Region
Adjustment
Quarterly
Updated
Sector Profile

SaaS

SaaS companies software, infrastructure, and applications that enable prediction, automation, and decision support at scale. Private market AI valuations are often influenced by model differentiation, data advantages, compute intensity, and the ability to translate innovation into repeatable commercial traction.

The category spans foundational models, applied AI products, workflow copilots, and enabling infrastructure. DealMatrix tracks valuation dynamics across 7 funding stages and all major global regions, updated every quarter.

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Model Differentiation
Investors often assign premiums where technical performance, proprietary tuning, or workflow integration creates defensible product value.
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Data Advantage
Access to unique datasets, feedback loops, and domain-specific training signals can improve product quality and strengthen moat assumptions.
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Compute Economics
Margin profiles and scaling potential depend heavily on inference efficiency, infrastructure costs, and pricing power.
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Commercialisation Speed
Valuations increasingly reflect which AI companies can move from experimentation into recurring production deployments.

Sector

SaaS

Software & Data

Sector tracked since

2000

25+ years of data

EV/SALES & EV/EBITDA ACROSS

6 Regions · 7 Stages

Modelled independently via proprietary econometric approach

UPDATE FREQUENCY

Quarterly

Data updates & model improvement

Private Market

SaaS Valuation Multiples

Select a region and funding stage to preview how SaaS companies are valued in private markets. Full data available on the platform.

Data Selection
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Multiples
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Methodology

The Venionaire DealMatrix Multiples Model

DealMatrix multiples are derived through a five-step model combining public capital market comparables, proprietary VC/PE/M&A transaction data, and macroeconomic indicators.

The model produces three components: The reported public multiple, the model-predicted multiple, and the lower bound predicted multiple averaged into the DealMatrix Composite, then adjusted for region and funding stage. The methodology follows the IPEV Guidelines 2025.

Read full Methodology
Model Architecture
Step 1: Data Acquisition
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Step 2: Data Cleaning
↓
Step 3: Econometric Modelling
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Step 4: Multiple Averaging
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Step 5: Region/Stage Adjustment
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Final DealMatrix Multiples
Following IPEV Guidelines 2025
Deals Monitor
Latest AI Deals
April 1, 2026

German startup Upvest secures $125M for strategic expansion in Europe

raised

$125M

Valuation

USD 735m

Region

Stage

Read more →
March 23, 2026

German startup Upvest secures $125M for strategic expansion in Europe

raised

$125M

Valuation

USD 735m

Region

Stage

Read more →
June 10, 2025

Fabriq secures $25 million to advance lean manufacturing operations

raised

EUR 22m

Valuation

Region

Stage

Read more →
March 27, 2025

Fair-code pioneer n8n raises $60M for AI-powered workflow automation

raised

EUR 55m

Valuation

EUR 195m

Region

Stage

Read more →
March 21, 2025

Next-generation Revenue Intelligence Software Buynomics Secures $30M Million in Series B Funding to Expand AI-driven Commercial Operating System

raised

USD 30m

Valuation

Region

Stage

Read more →
January 29, 2025

EQT co-leads TravelPerk’s USD 200 million Series E

raised

USD 200m

Valuation

Region

Stage

Read more →
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