AI Agent Statistics 2025
Original research and data-backed statistics on the AI agent ecosystem. Market trends, adoption rates, coding agent benchmarks, LLM market share, and industry analysis. Updated quarterly by the AgentBase research team.
Coding Agent Benchmarks
Market Distribution by Category
Key Industry Insights
1. Coding Agents Dominate. Coding AI agents represent the largest category in the market, driven by demand for AI pair programmers, autonomous software engineers, and IDE integrations. The average SWE-bench score among coding agents is 42.3%, with top performers exceeding 70%.
2. Open Source is Growing. 13+ agents (22%) are open-source, with collective GitHub stars exceeding 606,000. This trend signals strong community-driven development in the AI agent space.
3. Multi-Agent Systems Are the Next Frontier. Frameworks like CrewAI, AutoGen, and LangGraph are enabling enterprises to build teams of specialized agents that collaborate on complex workflows.
4. MCP Ecosystem is Standardizing Agent Tools. The Model Context Protocol is emerging as the standard for connecting AI agents to external tools, browsers, databases, and APIs.
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