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Analytics Valuation Multiples

Explore private market Analytics 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

Analytics

Analytics companies build platforms that transform raw data into actionable business intelligence. Private market valuations reflect data network effects, ARR growth, and the depth of integrations with enterprise workflows – the more data a platform processes, the more defensible its position.

The category spans embedded BI, self-service analytics, predictive platforms, and real-time data pipelines. DealMatrix tracks valuation dynamics across 7 funding stages and all major global regions, updated every quarter.

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Data Network Effects
The more data a platform ingests, the more valuable its insights – creating compounding competitive moats over time.
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Enterprise Stickiness
Deep workflow integrations and high switching costs drive strong NRR and predictable recurring revenue.
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AI-Driven Premium
Platforms incorporating machine learning and predictive analytics command significant valuation premiums over pure BI tools.
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Land and Expand
Usage-based and seat-based pricing models allow platforms to grow revenue within existing accounts without new sales cycles.

Sector

Analytics

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

Analytics Valuation Multiples

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

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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
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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 7, 2026

9fin Series C: 9fin raises $170M at $1.3B valuation to scale AI platform for debt markets

raised

USD 170m

Valuation

USD 1.3b

Region

Stage

Read more →
June 24, 2025

Tadaweb raises $20 million to scale Small Data PAI and OSINT Operating System

raised

EUR 17.3m

Valuation

Region

Stage

Read more →
May 9, 2025

Amazon’s Bezos leads $72m investment in AI data firm Toloka

raised

USD 72m

Valuation

Region

Stage

Read more →
January 15, 2025

Intelex Vision raises £5.6m Series A funding

raised

GBP 5.6

Valuation

Region

Stage

Read more →
January 10, 2025

XOCEAN secures €115M for ocean data platform

raised

EUR 115m

Valuation

Region

Stage

Read more →
November 22, 2024

Lighthouse, an analytics provider for the hospitality sector, lights up with $370M at a $1B valuation

raised

USD 370m

Valuation

Region

Stage

Read more →
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