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Valuation Trading Multiples & Precedent Transactions: Enterprise AI Platform Providers

Valuation benchmarks for Enterprise AI Platform Providers. Access public trading comps, EV/EBITDA acquisition multiples, and private market data for pitch books and valuation analysis.

1.1 - Enterprise AI Platform Providers Market Context & Valuation Drivers

Companies in this trading comparable group are public software providers delivering enterprise AI platforms and domain-specific applications. They monetize through subscription and usage-based licensing, complemented by professional services, and focus on deploying AI for predictive analytics, voice interfaces, and healthcare decision support. They are grouped together because they offer scalable, cloud-native AI infrastructure and applications to enterprise and healthcare buyers, driving comparable growth profiles and margin structures.

Typical capabilities include data ingestion and integration pipelines, model training and inference orchestration, MLOps for deployment and monitoring, low-code tools to build AI applications, and advanced NLP and voice engines for conversational interfaces. Many offer vertical healthcare modules such as clinical research platforms, precision medicine analytics, and companion diagnostics decision support. They provide APIs and cloud deployments, security and compliance tooling, and analytics dashboards to operationalize AI at enterprise scale.

Primary customers include enterprise IT and digital teams across industries, as well as healthcare providers and biopharma organizations. Buyers seek operational efficiency, improved decision accuracy, and enhanced user experiences via voice and predictive AI. Valuation benchmarks typically center on ARR growth, gross margins for software versus services mix, net revenue retention and expansion, and bookings or backlog reflecting multi-year platform commitments and embedded use-case expansion.

2. Valuation Analysis: Public Trading Comps & Multiples for Enterprise AI Platform Providers companies

2.1 - Public Peer Groups & Median Valuation Multiples for Enterprise AI Platform Providers sector

Description: Companies in this trading comparable group are public software providers delivering enterprise AI platforms and domain-specific applications. They monetize through subscription and usage-based licensing, complemented by professional services, and focus on deploying AI for predictive analytics, voice interfaces, and healthcare decision support. They are grouped together because they offer scalable, cloud-native AI infrastructure and applications to enterprise and healthcare buyers, driving comparable growth profiles and margin structures.
Yidu Tech logo

Yidu Tech

Website β€’ HQ: China
  • Enterprise value: $●●●m
  • Market Cap: $●●●m
  • EV/Revenue: ●.●x
  • EV/EBITDA: ●●.●x
  • Description: Provider of healthcare solutions built on big data and artificial intelligence technologies, offering next-gen diagnostics, clinical research platforms, and precision medicine solutions to transform healthcare delivery and improve patient outcomes globally.
  • Key Products:
  • Healthcare Solutions: AI-driven diagnostics platforms for medical use
  • Clinical Research Platforms: Data-driven clinical research and trial management systems
  • Precision Medicine: Personalized treatment plans based on predictive modeling
  • Hospital Operations: AI tools to optimize hospital resource utilization
  • Data Analytics Services: Big data analytics for healthcare cost management and patient history databases.
Tempus AI logo

Tempus AI

Website β€’ HQ: United States
  • Enterprise value: $●●●m
  • Market Cap: $●●●m
  • EV/Revenue: ●.●x
  • EV/EBITDA: ●●.●x
  • Description: Provider of technology solutions including genomic sequencing, clinical data structuring, image recognition, biological modeling, and AI-powered platforms for precision medicine and optimized therapeutic decisions. Enables real-time, data-driven treatment personalization and the discovery of novel therapeutic targets.
  • Key Products:
  • Genomic Sequencing: Comprehensive sequencing for genetic insights
  • Data Collaborations: Partnerships for shared clinical data analysis
  • Biological Modeling: Advanced modeling for biological processes understanding
  • Companion Diagnostics: Tools for pairing treatments with genetic profiles
  • Clinical Trials Execution: Support for efficient clinical trial operations
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Revenue growth
Median
15.7%
2025E
16.0%
2026E
EBITDA margin
Median
28.2%
2025E
28.6%
2026E
Cash EBITDA margin
Median
27.6%
2025E
28.0%
2026E
EV/Revenue
Median
8.4x
2025E
6.8x
2026E
EV/EBITDA
Median
28.9x
2025E
24.4x
2026E
EV/Cash EBITDA
Median
29.0x
2025E
25.5x
2026E
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2.3 - Precedent M&A Transactions & Implied Enterprise Values for the Enterprise AI Platform Providers secto

Selected M&A transactions

Date Target Description Buyer(s) Relevance EV EV/Revenue EV/EBITDA
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3. Potential Strategic Acquirers for Enterprise AI Platform Providers

3.1 Top Strategic Buyers in Enterprise AI Platform Providers

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3.2 - Strategic Buyer Groups & Adjacent Industry and Verticals to the Enterprise AI Platform Providers sector

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Buyer group 1: β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ

●● companies
Description: β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
Key Products: β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ, β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ, β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ, β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
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Buyer group 2: β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ

●● companies
Description: β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
Key Products: β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ, β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ, β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ, β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
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Buyer group 3: β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ

●● companies
Description: β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
Key Products: β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ, β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ, β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ, β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
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4. Financial Sponsors & Private Equity in Enterprise AI Platform Providers

4.1 - Buyout Funds active in Enterprise AI Platform Providers

Buyout Funds investing in Enterprise AI Platform Providers companies

50+ funds
Description: Buyout funds focused on Enterprise AI Platform Providers companies globally.

4.2 - 4.2 - Growth Capital & Late-Stage Investorsin Enterprise AI Platform Providers sector

Growth Equity Funds in Enterprise AI Platform Providers companies

40+ funds
Description: Growth equity funds focused on Enterprise AI Platform Providers companies globally.
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Valuation FAQ: Enterprise AI Platform Providers

What is the current median EV/Revenue multiple for Enterprise AI Platform Providers?

Based on our index of public trading comparables, the median Enterprise Value to Revenue (EV/Rev) multiple for the Enterprise AI Platform Providers sector is currently ●.●x. High-growth peers in the top quartile are trading at ●●.●x. View full data.

What is the average EV/EBITDA multiple for companies in this sector?

Profitable companies in the Enterprise AI Platform Providers sector trade at a median EV/EBITDA multiple of ●●.●x. This represents a change vs the 5-year historical average. Our platform tracks EBITDA multiples for Enterprise AI Platform Providers and other key peer groups.

How have valuation multiples for Enterprise AI Platform Providers trended over the last 5 years?

Valuations have adjusted since 2021. The sector saw peak multiples of ●●.●x EV/Revenue, settling to a 5-year average of ●.●x today. Access our Historical Trends chart for granular monthly data.

What are recent M&A transaction multiples in the Enterprise AI Platform Providers space?

Recent precedent transactions indicate implied enterprise values ranging from ●.●x to ●●.●x Revenue. Private market deals often trade at a liquidity discount compared to public peers. Unlock the full list of precedent transactions.

Which public companies are used as trading comps for Enterprise AI Platform Providers?

The primary trading comparable group includes Enterprise AI Platform Providers. Key constituents used for benchmarking include large-cap leaders and specialized mid-cap players. See the full list of companies in the Public Trading Comps section.

How do I value a private company in the Enterprise AI Platform Providers sector?

Valuing a private Enterprise AI Platform Providers company typically involves applying current EV/Revenue and EV/EBITDA multiples from public peers to the private company's financial metrics. A discount for lack of marketability (DLOM) of 20-30% is often applied. Our private company valuation database provides the exact multiples needed for this calculation.

What are the Enterprise AI Platform Providers industry valuation multiples for 2025?

For 2025, the Enterprise AI Platform Providers industry is trading at a median EV/Revenue multiple of ●.●x. This reflects current market sentiment, interest rates, and growth expectations. Access our platform to see how these multiples have changed from 2024 to 2025.

What is the difference between trading comps and transaction multiples for Enterprise AI Platform Providers?

Trading comps look at how public markets value similar companies today, while transaction multiples (or precedent transactions) look at the price paid in past M&A deals. Transaction multiples often include a "control premium," typically resulting in higher valuations than trading comps. Our database tracks both trading multiples and M&A transaction multiples.

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