What's included

Six tabs built for AI M&A benchmarking, buyer analysis, and funding-stage comparison

Each tab answers a different acquisition-pricing question. Use the summary tabs to frame the market, the stage analysis to understand timing, the buyer analysis to map repeat acquirers, and the database to support every number with a source.

Start Here

Orientation tab explaining what the dataset includes, how the file is organized, how to use the data, and how to interpret AI M&A multiples by niche, layer, and funding stage.

Summary

Market-level overview by AI niche, including deal count, average EV/Revenue, median EV/Revenue, minimum and maximum multiples, plus Core AI versus Applied AI comparison.

Stage Analysis

Funding-stage view from Seed and Series A through Series H, IPO/Public, PE-owned, and bootstrapped targets, with deal count, EV/Revenue, and EV/Funding metrics.

Buyer Analysis

Repeat-acquirer view showing which buyers are most active, how many deals they completed, and how their EV/Revenue and EV/Funding multiples compare across AI acquisitions.

Database

All 156 transactions with target, AI niche, layer, buyer, stage, total funding, enterprise value, revenue, EBITDA, EV/Revenue, EV/EBITDA, EV/Funding, and source links.

Legal & Disclaimer

Usage terms, methodology limitations, assumptions, and guidance for interpreting disclosed, estimated, and sourced acquisition data.

Sample data

A direct preview from the dataset

This is the level of detail inside the workbook, with stage-level acquisition patterns, niche-level valuation differences, buyer behavior, and selected transaction-level fields.

AI M&A transaction benchmarks

156 acquisitions · Q2 2026 · Funding stages, niches, buyers, and valuation multiples

Funding stage	Deals	Share of total	Median EV/Revenue	Average EV/Revenue	Median EV/Funding
Seed	19	12.3%	12.5x	27.9x	12.9x
Series A	31	20.0%	17.3x	31.3x	6.1x
Series B	34	21.9%	15.4x	27.5x	4.7x
Series C	17	11.0%	16.6x	29.8x	5.8x
Series D	9	5.8%	15.8x	29.7x	5.2x
IPO/Public	15	9.7%	9.4x	9.3x	n/a
PE-Owned	5	3.2%	7.6x	7.1x	70.3x

AI niche	Deals	Average EV/Revenue	Median EV/Revenue	Min	Max
Infrastructure	35	27.4x	19.8x	1.7x	111.1x
Data Intelligence	29	35.1x	18.6x	2.0x	250.0x
Cybersecurity	23	24.6x	15.7x	2.5x	116.7x
Marketing Tech	16	13.1x	6.9x	2.3x	81.2x
Computer Vision	13	12.5x	8.2x	2.5x	40.0x
HR Tech	9	21.5x	14.3x	3.7x	64.5x

Buyer	Deals	Share of dataset	Average EV/Revenue	Median EV/Revenue	Median EV/Funding
Nvidia	7	4.5%	35.8x	40.0x	5.4x
IBM	6	3.8%	14.4x	10.5x	7.1x
Microsoft	6	3.8%	42.7x	36.2x	1.3x
Salesforce	6	3.8%	20.7x	16.5x	7.5x
Databricks	5	3.2%	80.4x	44.4x	7.7x
Google	5	3.2%	29.2x	18.6x	6.0x

* Preview based on the Q2 2026 workbook. The full dataset contains 156 transaction-level rows with buyer, target, niche, layer, funding stage, deal value, revenue, funding, multiples, and source links where available.

Who buys this

Built for people doing live AI M&A and valuation work

This is not a generic AI market report. It is a working file for professionals who need acquisition benchmarks, funding-stage context, and deal-level support for valuation, exit planning, and M&A analysis.

AI founders & CFOs

Benchmark potential exit scenarios, understand where AI companies are being acquired by stage, and avoid anchoring M&A expectations to average multiples distorted by outliers.

VC & growth investors

Compare exit value, capital raised, and funding-stage outcomes across AI acquisitions to support portfolio valuation, exit planning, and investment committee discussions.

M&A advisors

Build AI acquisition comp sets faster, separate early-stage strategic-control deals from mature-company transactions, and support buyer or seller valuation arguments with sourced benchmarks.

Corporate development teams

Understand where strategic buyers are most active, which stages carry premium multiples, and how acquisition pricing changes as AI targets mature.

What buyers say

Used in live valuation and transaction work

Representative feedback from buyers of Finro valuation datasets and advisory clients using comparable-company and M&A data in real decision-making work.

"We used the dataset to come up with an internal valuation and it helped us confirm assumptions we had been relying on anecdotally. Having structured comp sets by AI niche made the difference.

Use case: Internal valuation for an AI Agents company. The team selected the best-fit peer group by niche and stage, then used the comp set to set a valuation target heading into a Series B.

FS

Finance professional

Early-stage startup · AI dataset

"Exactly what I needed to build a defensible comparable set for an AI infrastructure client. The niche segmentation meant I wasn't averaging across companies that aren't genuinely comparable.

Use case: Valuation support for an AI infrastructure platform ahead of a strategic partnership discussion. The advisor used the dataset to assemble a relevant peer group for the board deck.

VA

Independent advisor

Board presentation mandate · AI dataset

"We used the dataset to construct our valuation and support our argument for a revenue multiple in the sale. It gave us a structured, defensible comp set we could put in front of the other side.

Use case: M&A transaction support. The advisor used the dataset to anchor valuation arguments during a sale process, replacing anecdotal benchmarks with structured comparable evidence.

RW

Advisor, WEC Corporation

M&A process · Valuation dataset

"We used the dataset to benchmark a valuation on a company we had invested in, with third parties also reviewing the position. It gave us a credible, structured reference point we could share externally.

Use case: Investment valuation benchmarking. The managing partner used the dataset to support an independent valuation review, with the comp set shared with external reviewers.

SC

Managing Partner

Investment benchmarking · Finro dataset

Pricing

One price. Full file. Immediate access.

No subscription. No gated add-ons. You get the complete workbook the moment you buy.

Q2 2026 Edition

€79.90

One-time purchase · Single-user license

156 AI and AI-adjacent M&A transactions
14 AI niches, including Infrastructure, Data Intelligence, Cybersecurity, Marketing Tech, Computer Vision, HR Tech, Health Tech, Fintech, Legal Tech, and PropTech
Core AI versus Applied AI classification for every target
Funding-stage breakdown from Seed through Series H, IPO/Public, PE-owned, and bootstrapped targets
EV/Revenue, EV/EBITDA, and EV/Funding multiples where inputs are available
Buyer analysis covering repeat acquirers and acquisition multiple patterns by buyer
Source links for transaction values, revenue estimates, funding data, and deal announcements
Immediate redirect to download page after purchase

Buy now for €79.90

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Common questions

Before you buy

What format is the file?

The dataset is delivered as an Excel (.xlsx) workbook. It includes summary tabs, funding-stage analysis, niche analysis, buyer and transaction-level fields, methodology notes, and the full database. It opens in Excel, Google Sheets, and LibreOffice.

How do I receive the file?

After payment, Stripe redirects you to a download page containing the file link and a short confirmation message. If you run into any issue, email info@finrofca.com.

Where does the data come from?

Sources include acquisition announcements, press releases, company disclosures, reported deal values, funding databases, public market data, and Finro estimates where operating data is not publicly disclosed. Source links are included where available, and estimated or reported figures should be read directionally.

Can I use this in client work?

Yes. The single-user license permits internal use and use in client-facing materials, provided Finro is credited as the data source. Redistribution or resale of the file itself is not permitted. For team licensing, email info@finrofca.com or use the Contact Us page.

What is the refund policy?

This is a non-refundable digital product delivered immediately after payment. If you want to confirm fit before purchase, email info@finrofca.com or use the Contact Us page.

How is this different from the AI Valuation Multiples Dataset?

The AI Valuation Multiples Dataset covers public companies, private companies, and M&A transactions across the broader AI market. This dataset focuses specifically on AI M&A transactions and analyzes acquisition multiples by target funding stage, transaction value, revenue, funding raised, EV/Revenue, and EV/Funding.

Is this dataset only useful for M&A work?

No. It is also useful for fundraising preparation, exit scenario analysis, investor reporting, valuation support, strategic buyer mapping, and understanding how acquisition pricing changes as AI companies mature.

Do you offer other datasets?

Yes. Finro publishes valuation datasets across AI, Fintech, Cybersecurity, PropTech, EdTech, and other verticals in the same working format. Use the store to browse available datasets, or contact us at info@finrofca.com with a specific use case.