Datadog, Inc. (DDOG)

Observability software platform, 8,100 employees. Read October 19, 2026 from the annual report for the period ending December 31, 2025, filed February 18, 2026. Ranked 52 of the 155 Technology companies read so far, by the share within reach now.

A software company whose filing counts 8,100 employees with 56% in the U.S. and its research and sales functions counted, so the whole workforce is read at software publishers.

The figures on this page come from the company's own annual report and from BLS staffing patterns for its industries, never from a roster. They are estimates with a stated method. Nothing here says what the company will do: within reach is not a forecast of jobs lost or of savings.

What follows from the reading

Share of working time within reach of AI, on the long-run pace at four in five: 25% now, 55% at the end of 2027, 69% at the end of 2028, 75% at the end of 2030. By the patterns, the work is about 75% desk work, 23% people work and 2% body work. These are the site's industry estimates weighted by the shares below: estimates with a stated method and range, not a forecast of what the company will do. By the same patterns, at the end of 2028 about 25% of the working time stays with people (conversation, in-person and hands-on work), 58% becomes checking a model's work and 10% could be handed over with lighter checks, from the industries' own figures, not the company's roles.

Headcount

8,100 employees as of December 31, 2025 (stated). Stated in words: approximately 44% of full-time employees were located outside the United States, 34% of those in France.

The filing: “As of December 31, 2025, we had approximately 8,100 employees operating across 35 countries.”

The workforce as industry patterns

What the filing says about the workforce: Approximately 8,100 employees across 35 countries as of December 31, 2025 (6,500 a year earlier): about 3,900 in research and development and 3,600 in sales and marketing; about 44% of full-time employees outside the United States, 34% of those in France, where industry-wide collective bargaining agreements apply.

Companies read with the same leading pattern

Other companies whose largest staffing pattern is also Software Publishers, largest first, each read from its own annual report. Within reach now and at the end of 2028, long-run pace, four in five.

• Microsoft (MSFT, 223,000 employees)25% now, 69% by 2028
• Oracle (ORCL, 141,000 employees)26% now, 69% by 2028
• Salesforce, Inc. (CRM, 83,334 employees)25% now, 69% by 2028
• Uber Technologies, Inc. (UBER, 34,000 employees)29% now, 67% by 2028
• DoorDash, Inc. (DASH, 31,400 employees)29% now, 67% by 2028
• Adobe Inc. (ADBE, 31,360 employees)25% now, 69% by 2028
• ServiceNow, Inc. (NOW, 29,187 employees)25% now, 69% by 2028
• Synopsys, Inc. (SNPS, 28,000 employees)25% now, 69% by 2028

What the filing says about AI

36 sentences in the filing name AI. The filing calls Datadog the AI-powered observability and security platform for cloud applications and describes Bits AI SRE Agent, which investigates alerts and drafts incident summaries autonomously; it names AI in 36 sentences.

• “Business Overview Datadog is the AI-powered observability and security platform for cloud applications.”
• “And they are increasingly adopting AI capabilities as part of this transformation.”
• “In 2025, we launched OnCall to create on-call schedules and integrate real-time observability data into customers' incident response plans, Product Analytics to improve business outcomes and product development decisions with quantitative insights into user experiences and behavior, and Bits AI SRE Agent to autonomously investigate alerts, surface root causes, and draft summaries about incidents.”
• “Our integrations provide for comprehensive data point aggregation and consistent, up-to-date, high-quality customer experiences across heterogeneous IT environments as they are fully maintained by Datadog. 6 Powered by robust artificial intelligence and machine learning capabilities .”
• “Our platform features an increasingly broad and deep set of artificial intelligence and machine learning capabilities that can cross-correlate metrics, traces, logs, sessions, security signals, and other data to identify outliers and notify users of potential anomalies; discover and help resolve issues quickly with automated root cause analysis; augment the troubleshooting workflow with context...”

Its annual reports, year by year

Sentences naming AI in each annual report, counted by one rule, beside the median report in the Index that year. Each count links its filing. Every company, by year and sector

• Fiscal 20215median 0
• Fiscal 20226median 0
• Fiscal 202319median 1
• Fiscal 202424median 4
• Fiscal 202536median 10

Headcount by filing year

As reported in each year's annual report, with the filing. A year marked not read had no figure the reading could take from the report's text.

Limits of this reading

• The function counts (3,900 research and development, 3,600 sales and marketing) are recorded in the notes, not as a pattern split.

Source: the company's annual report on EDGAR, accession 0001628280-26-008819, the filing. Read by Claude Fable 5.1 under rubric version 1, by the method. A company can write to info@stratussc.com to have its reading checked against its filing.