Corporate communication index
How often each company is on stage at data conferences, whether that is rising or falling, and whether it rests on one person or many. Talks at a company's own conferences don't count (AWS at re:Invent, Databricks at Data + AI Summit), so this measures presence on the wider circuit.
Most talks, past 12 months
| # | Company | Talks | Speakers | Conferences | Voices, 24 months | Talks 2025 → 2026comparable conferences |
|---|---|---|---|---|---|---|
| 1 | Microsoft | 366 | 258 | 66 | Many voices top: Bob Ward 2% | 214 → 233 +9% |
| 2 | Amazon Web Services | 284 | 238 | 61 | Many voices top: Robert Treat 2% | 146 → 213 +46% |
| 3 | 272 | 230 | 65 | Many voices top: Matt Cornillon 2% | 103 → 151 +47% | |
| 4 | IBM | 118 | 106 | 27 | Many voices top: Mingxuan Zhao 3% | 39 → 66 +69% |
| 5 | Meta | 109 | 102 | 25 | Many voices top: Amit Dutta 2% | 119 → 54 −55% |
| 6 | EDB | 89 | 52 | 25 | Many voices top: Bruce Momjian 10% | 69 → 79 +14% |
| 7 | NVIDIA | 88 | 75 | 29 | Many voices top: Katrina Riehl 3% | 60 → 41 −32% |
| 8 | Percona | 87 | 55 | 13 | Many voices top: Peter Zaitsev 12% | 22 → 33 +50% |
| 9 | OpenAI | 76 | 64 | 24 | Many voices top: Bohan Zhang 3% | 26 → 40 +54% |
| 10 | Databricks | 72 | 63 | 35 | Many voices top: Frank Munz 3% | 49 → 58 +18% |
| 11 | Snowflake | 71 | 57 | 36 | Many voices top: Russell Spitzer 6% | 56 → 48 −14% |
| 12 | Anthropic | 69 | 57 | 16 | Many voices top: David Soria Parra 7% | 13 → 14 +8% |
| 13 | Posit | 62 | 50 | 8 | Many voices top: Jeroen Janssens 5% | 50 → 55 +10% |
| 14 | Salesforce | 60 | 59 | 20 | Many voices top: Rajkumar Irudayaraj 3% | 17 → 39 +129% |
| 15 | Red Hat | 52 | 47 | 17 | Many voices top: Cedric Clyburn 6% | 12 → 25 +108% |
| 16 | Oracle | 50 | 46 | 20 | Many voices top: Frédéric Descamps 4% | 25 → 31 +24% |
| 17 | Redgate | 46 | 19 | 15 | Many voices top: Grant Fritchey 35% | 15 → 39 +160% |
| 18 | Neo4j | 45 | 28 | 16 | Many voices top: Stephen Chin 16% | 6 → 18 +200% |
| 19 | Astronomer | 44 | 36 | 8 | Many voices top: Kenten Danas 6% | 39 → 42 +8% |
| 20 | Datadog | 43 | 37 | 19 | Many voices top: Julien Le Dem 13% | 12 → 21 +75% |
| 21 | Fivetran | 39 | 33 | 11 | Many voices top: David Hrncir 8% | 25 → 32 +28% |
| 22 | Netflix | 36 | 34 | 11 | Many voices top: Sujay Jain 3% | 24 → 11 −54% |
| 23 | Deloitte | 35 | 34 | 9 | Many voices top: Elisabeth L'Orange 3% | 24 → 20 −17% |
| 24 | ClickHouse | 35 | 23 | 19 | Many voices top: Kevin Biju 8% | 15 → 29 +93% |
| 25 | Capital One | 34 | 31 | 8 | Many voices top: Jeff Chou 5% | 26 → 17 −35% |
| 26 | JPMorgan Chase | 34 | 34 | 17 | Many voices top: Chuxin Liu 3% | 14 → 14 0% |
| 27 | LSEG | 33 | 30 | 14 | Many voices top: Debbie Lawrence 7% | 7 → 14 +100% |
| 28 | AMD | 32 | 24 | 10 | Many voices top: Alastair Richardson 13% | 22 → 26 +18% |
| 29 | Alibaba Cloud | 31 | 29 | 13 | Many voices top: Xintong Song 5% | 8 → 15 +88% |
| 30 | SAP | 31 | 30 | 13 | Many voices top: Niclas Schlautkoetter 5% | 20 → 22 +10% |
| 31 | Accenture | 27 | 27 | 10 | Many voices top: Ajali Sen 4% | 18 → 18 0% |
| 32 | Hugging Face | 27 | 21 | 10 | Many voices top: Ben Burtenshaw 8% | 5 → 12 +140% |
| 33 | Uber | 26 | 26 | 12 | Many voices top: Jamieson Leibovitch 4% | 16 → 6 −62% |
| 34 | Booking.com | 26 | 25 | 12 | Many voices top: Abhro Bhaduri 4% | 10 → 16 +60% |
| 35 | Adobe | 26 | 24 | 13 | Many voices top: Arushi Garg 5% | 7 → 11 +57% |
| 36 | Arize AI | 25 | 15 | 3 | Many voices top: Aparna Dhinakaran 20% | 2 → 1 |
| 37 | CYBERTEC | 25 | 8 | 12 | Many voices top: Pavlo Golub 28% | 24 → 23 −4% |
| 38 | PwC | 24 | 23 | 9 | Many voices top: Abbas Mooraj 5% | 4 → 11 +175% |
| 39 | Cloudera | 24 | 21 | 13 | Many voices top: David Dichmann 9% | 4 → 15 +275% |
| 40 | 23 | 21 | 7 | Many voices top: Karthik Ramgopal 5% | 18 → 16 −11% | |
| 41 | Intel | 23 | 21 | 9 | Many voices top: Joshua Segovia 7% | 21 → 14 −33% |
| 42 | Morgan Stanley | 23 | 22 | 11 | Many voices top: Sophie Beland 7% | 7 → 10 +43% |
| 43 | Informatica | 23 | 18 | 8 | Many voices top: Rajeev Srinivasan 9% | 11 → 13 +18% |
| 44 | EY | 22 | 22 | 6 | Many voices top: Ed Bobrin 5% | 19 → 20 +5% |
| 45 | Siemens | 22 | 22 | 13 | Many voices top: Marcin Nizinski 5% | 8 → 16 +100% |
| 46 | S&P Global Market Intelligence | 21 | 19 | 10 | Many voices top: Aditya Sharma 11% | 10 → 12 +20% |
| 47 | Qlik | 21 | 19 | 8 | Many voices top: Kyle Jourdan 9% | 8 → 14 +75% |
| 48 | Actian | 21 | 4 | 8 | Many voices top: Emma McGrattan 37% | 5 → 15 +200% |
| 49 | Fujitsu | 20 | 15 | 10 | Many voices top: Tim Steward 11% | 22 → 19 −14% |
| 50 | Xebia | 20 | 12 | 5 | Many voices top: Allen Conway 17% | 3 → 7 +133% |
Bar: the busiest person's share of the company's talks over 24 months. A short bar means many people share the stage.
Speaking more in 2026
Talks on conferences comparable in both years; up at least 25% and by at least 3 talks.
| Company | 2025 | 2026 | Change |
|---|---|---|---|
| Cloudera | 4 | 15 | ▲ +275% |
| SAS | 4 | 15 | ▲ +275% |
| Canva | 3 | 10 | ▲ +233% |
| Tabular Editor | 3 | 10 | ▲ +233% |
| Neo4j | 6 | 18 | ▲ +200% |
| Actian | 5 | 15 | ▲ +200% |
| CDW | 4 | 12 | ▲ +200% |
| EPAM | 3 | 9 | ▲ +200% |
| Conduktor | 3 | 9 | ▲ +200% |
| PwC | 4 | 11 | ▲ +175% |
| Thoughtworks | 3 | 8 | ▲ +167% |
| Redgate | 15 | 39 | ▲ +160% |
| Dataiku | 5 | 13 | ▲ +160% |
| TNG | 5 | 13 | ▲ +160% |
| ThoughtSpot | 5 | 13 | ▲ +160% |
Speaking less in 2026
Same rules; down at least 25% and by at least 3 talks.
| Company | 2025 | 2026 | Change |
|---|---|---|---|
| NovaSparks | 8 | 0 | ▼ −100% |
| GetInData | 7 | 0 | ▼ −100% |
| data.world | 7 | 0 | ▼ −100% |
| nao Labs | 6 | 0 | ▼ −100% |
| Nutanix | 5 | 0 | ▼ −100% |
| Dagster Labs | 5 | 0 | ▼ −100% |
| ConocoPhillips | 5 | 0 | ▼ −100% |
| Timebeat | 5 | 0 | ▼ −100% |
| Okta | 9 | 1 | ▼ −89% |
| Crunchy Dataacquired by Snowflake, Jun 2025 | 9 | 1 | ▼ −89% |
| Evidi | 7 | 1 | ▼ −86% |
| ING | 6 | 1 | ▼ −83% |
| Tencent | 6 | 1 | ▼ −83% |
| Credit Karma | 6 | 1 | ▼ −83% |
| PayPal | 5 | 1 | ▼ −80% |
One-person shows
Companies with at least 5 talks in 24 months where one person gave 60% or more of them. If that person moves on, so does the company's stage presence.
| Company | Talks, 24 months | Main voice | Their share | People |
|---|---|---|---|---|
| Catallaxy Services, LLC | 15 | Kevin Feasel | 100% | 1 |
| db Berater GmbH | 14 | Uwe Ricken | 100% | 1 |
| InfluxData | 14 | Andrew Lamb | 71% | 5 |
| Streambased | 14 | Tom Scott | 64% | 2 |
| Tabular Editor | 13 | Peer Grønnerup | 62% | 5 |
| Analytic Endeavors | 13 | Steve Campbell | 69% | 3 |
| GDS Business Intelligence GmbH | 13 | Frank Geisler | 100% | 1 |
| BattleFin | 13 | Tim Harrington | 62% | 3 |
| InSpark | 13 | Erwin de Kreuk | 100% | 1 |
| P3 Adaptive | 12 | Kristyna Ferris | 92% | 2 |
| Axians Business Analytics | 12 | Reitse Eskens | 100% | 1 |
| Capital Fund Management | 12 | Mark Fleming-Williams | 75% | 3 |
| Liquid-Markets | 12 | Seth Friedman | 100% | 1 |
| ProxySQL | 11 | René Cannaò | 64% | 4 |
| Datashift | 11 | Olivier Van Steenlandt | 64% | 5 |
| Senzing | 11 | Gurpinder Dhillon | 64% | 3 |
| Redpill Linpro | 10 | Magnus Hagander | 70% | 4 |
| FMADIO | 10 | Aaron Foo | 80% | 3 |
| Emma Legal | 10 | Dr. Pieter Buteneers | 100% | 1 |
| Rocket Mortgage | 10 | Jason Bock | 60% | 5 |
How this is measured
- Talks: one per person per event, at events held in the past 12 months. The ranking uses this.
- Voices: over 24 months, from the share of the company's talks each person gave. One voice: one person gave 60% or more. A few voices: the talks are concentrated in fewer than three people's worth (effective number of speakers, 1 ÷ Σ share², under 3). Many voices: everything else.
- 2025 → 2026: talks in each calendar year, counted only on the 120 conferences with speaker lists in both years, this year's list at least half the size of last year's, and no event still to come this year. Speaker lists have grown more complete over time, so raw counts would show almost everyone rising. Change is shown when the company had at least 3 such talks last year.
- Talks at a company's own conferences are left out (57 vendor and cloud conferences matched to their host company), as are universities, government and nonprofits, and media and community organisations.
- Affiliations are as printed on each program, so a speaker who changed jobs counts for each employer in turn.