Analytics Valuation Multiples
Explore private market Analytics valuation multiples with benchmarks structured by stage and region. Updated quarterly.
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.
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
Analytics Valuation Multiples
Sector benchmark as of 31 March 2025 · median across 6 regions · updated quarterly
How we derive these multiples
DealMatrix multiples are derived from institutional-grade public-market index data covering ~150 GICS sub-industries across 6 regions, with quarterly history back to 2000. Regional scaling follows Damodaran (NYU Stern), and the methodology follows the IPEV Guidelines 2025. Published benchmarks are illustrative and dated; because IPEV 2025 prohibits static multiples for reporting periods from 1 April 2026, current quarterly data for valuation work is available on the platform.
The Venionaire DealMatrix Multiples Model
DealMatrix multiples are proprietary private-market benchmarks, derived through a six-step model that translates public capital-market index comparables into private-market segments and funding stages, adjusted for macroeconomic conditions.
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.
Xoople Series B: Xoople raises $130 million to map the Earth for AI
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9fin Series C: 9fin raises $170M at $1.3B valuation to scale AI platform for debt markets
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Tadaweb raises $20 million to scale Small Data PAI and OSINT Operating System
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Amazon’s Bezos leads $72m investment in AI data firm Toloka
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Intelex Vision raises £5.6m Series A funding
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XOCEAN secures €115M for ocean data platform
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Analytics Valuation Multiples — FAQ
What is the average valuation multiple for Analytics companies?
As of 31 March 2025, the Analytics sector benchmark was an EV/Sales multiple of about 3.7× and an EV/EBITDA multiple of about 15.3× (median across six regions). Multiples vary by funding stage and region; stage-level and current-quarter figures are available in DealMatrix.
What is the difference between EV/Sales and EV/EBITDA for Analytics?
EV/Sales (enterprise value ÷ revenue) is used for high-growth Analytics companies that are not yet profitable, while EV/EBITDA (enterprise value ÷ operating profit) applies to mature, profitable ones. Early-stage companies are usually benchmarked on EV/Sales.
How are Analytics valuation multiples calculated?
Each Analytics multiple is a weighted blend of public-market index comparables, cleaned for outliers and gaps, then adjusted for macroeconomic conditions, region, and funding stage through a six-step model that follows the IPEV Guidelines 2025.
Do Analytics valuation multiples vary by region?
Yes. North America serves as the reference market and typically carries the highest multiples, while emerging markets trade at a structural discount. Region-specific figures are available in the DealMatrix platform.
How current is this Analytics data and how often is it updated?
The benchmark shown is an illustrative annual figure as of 31 March 2025. The underlying model is updated every quarter. Because the IPEV Guidelines 2025 prohibit static multiples for reporting periods from 1 April 2026, current quarterly data for valuations is available in the DealMatrix platform.