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AI Agent Landscape Report (Feb 2026)

127 data points from 65 sources. Market size, key players, framework comparison, enterprise ROI, and 2026 predictions. This is a February 2026 market snapshot with an explicit data-as-of notice, not a live tracker.

โœ“Feb 2026 snapshot. Data-as-of notice added May 11, 2026.
Snapshot clarified May 11, 2026 ยท Added explicit data-as-of notice so buyers know this is a February 2026 snapshot, not a live tracker.

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Best for

  • +Market context, historical comparison, and agent strategy planning
  • +Loading JSON/CSV into your own research or analysis workflow

Not for

  • -Live pricing, funding, valuation, or vendor status checks
  • -Procurement or investment decisions without current verification

What you get

+Clear data-as-of notice so you know exactly how to use the report
+Market analysis: $7.84B โ†’ $52.6B by 2030
+Key player breakdown: Anthropic, OpenAI, Microsoft, Salesforce, Google
+Framework comparison: AutoGPT, LangChain, AutoGen, Agents SDK
+Enterprise ROI data from 7 major deployments
+2026 predictions and investment trends
+Machine-readable data files (JSON + CSV)

Package includes

  • โ€ขFull report (PDF, 15 pages)
  • โ€ขData files (JSON + CSV with all 127 data points)
  • โ€ขFramework comparison matrix
  • โ€ขEnterprise adoption heatmap
  • โ€ขInvestment trends chart
  • โ€ขSources and methodology
  • โ€ขDATA-AS-OF.md + CHANGELOG.md

FAQ

Is this the same as the blog post?

The blog post is a summary. The report includes full data tables, methodology, sources, and machine-readable files you can load into your own AI agent.

Will this be updated?

This is the Feb 2026 snapshot. The May 2026 update adds an explicit data-as-of notice; it does not rewrite the underlying market data.

What format are the data files?

JSON and CSV. Ready to load into Python, Claude Code, or any data analysis tool.

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