CrewAI has quickly emerged as one of the fastest-growing platforms in the AI agent ecosystem, as enterprises shift from experimenting with AI agents to deploying them in production workflows.
In less than three years, CrewAI has reached 47.8K+ GitHub stars since launching in October 2023, 27 million+ PyPI downloads, including 5 million downloads in the last month and 2 billion agent executions in the past 12 months.
These signals position CrewAI among the most rapidly adopted AI agent orchestration platforms in the developer ecosystem.
This article compiles the most important CrewAI Platform Statistics for 2026, including growth indicators, execution volume, adoption and financials, market position and other metrics. Whether you’re a developer, investor, analyst, or journalist, these data points provide a clear, data-driven snapshot of CrewAI’s growth, adoption, and market impact in 2026.
CrewAI Platform Key Insights & Takeaways
- CrewAI’s GitHub repository has 47.8k stars as of April 2, 2026, making it one of the more visible open-source agent frameworks on GitHub.
- The repository was created on October 27, 2023, so the project reached 47.8k stars in a little under 2.5 years.
- CrewAI’s PyPI package has 27M total downloads, with 5M downloads in the last month and 168K downloads in the last day, according to ClickPy.
- CrewAI said its open-source offering executed 10M+ agents per month in October 2024, showing early production-scale usage.
- By January 2026, CrewAI said it had powered around 2B agentic system executions in the prior 12 months, a major scale milestone for the platform.
- CrewAI’s 2024 enterprise launch came with 150 beta enterprise customers in under six months, a strong sign of demand from large organizations.
- The company said it was already used by nearly half of the Fortune 500 in 2024, which is unusually broad enterprise reach for a young open-source platform.
- CrewAI says developers in more than 150 countries use the platform, indicating a globally distributed user base.
- CrewAI raised $18M in total funding, including a Series A led by Insight Partners, announced on October 22, 2024.
Top CrewAI Platform Statistics
| Metric | Latest Public Figure |
| GitHub stars | 47.8k |
| GitHub forks | 6.5k |
| PyPI total downloads | 27M |
| PyPI downloads last month | 5M |
| Agentic executions (12 months) | 2B |
| Open-source agent executions/month | 10M+ |
| Enterprise beta customers | 150 |
| Total funding | $18M |
CrewAI Platform Statistics: Deep Dive
1. CrewAI Platform User Growth Statistics
The repository launched in October 2023, reached 47.8k GitHub stars by April 2, 2026, and crossed 27M PyPI downloads on its core package. Those numbers suggest the project has moved from niche open source into mainstream developer awareness.
| Year | Public Growth Milestone | Statistic |
| 2023 | GitHub repo created | Oct 27, 2023 |
| 2024 | Monthly open-source execution volume | 10M+ agents/month |
| 2024 | Enterprise beta momentum | 150 beta customers |
| 2026 | 12-month execution volume | 2B executions |
| 2026 | GitHub adoption proxy | 47.8k stars |
The open-source growth curve is especially notable because CrewAI said in 2024 that it was already running 100,000 groups of multi-agent executions per day across hundreds of use cases.
By 2026, that public execution total had expanded to around 2B executions in 12 months, indicating that the workload base is not just broad but also active.
CrewAI’s global footprint also matters. In its 2024 enterprise announcement, the company said developers in more than 150 countries were using the platform.
For a Python-based agent framework, that level of distribution matters because it signals adoption across startups, builders, and enterprise teams in multiple geographies rather than a single-market concentration.
2. CrewAI Platform Revenue & Financial Statistics
CrewAI’s public pricing structure is straightforward: Free, Professional at $25/month, and Enterprise with custom pricing.
The Free tier includes 50 workflow executions per month, while Professional includes 100 workflow executions per month and one additional seat.
The Enterprise tier adds SOC2, SSO, secret manager integration, PII detection and masking, dedicated support, and uptime SLAs.
| Metric | Figure |
| Funding raised | $18M |
| Free plan | $0 |
| Professional plan | $25/month |
| Included executions (Free) | 50/month |
| Included executions (Professional) | 100/month |
| Estimated 2025 revenue | $2.4M–$3.2M |
Latka reports $3.2M in 2025 revenue, while Growjo estimates $2.4M annual revenue, both of which are outstanding numbers for a platform like CrewAI.
On October 22, 2024, CrewAI announced $18M in total funding and said the round included an inception round led by boldstart ventures and a Series A led by Insight Partners.
For a young infrastructure company, that funding level typically supports go-to-market expansion, enterprise sales, and platform hardening rather than pure consumer growth.
3. CrewAI Platform Adoption & Usage Statistics
In 2024, CrewAI said its open-source product executed 10M+ agents per month and that it was already used by nearly half of the Fortune 500.
By 2026, it said it had powered around 2B executions in the previous 12 months, which suggests sustained production usage rather than one-off experimentation.
| Segment | Public Adoption Signal | Statistic |
| Open source | Monthly agent executions | 10M+ |
| Large enterprise | Fortune 500 reach | Nearly half |
| Enterprise beta | Beta customers in <6 months | 150 |
| Global adoption | Countries using CrewAI | 150+ |
| Platform activity | Annual executions | 2B |
The 2026 CrewAI survey adds an important usage lens. Among 500 senior executives at organizations with $100M+ in annual revenue, 65% said they already use AI agents and 81% said adoption is scaling or fully deployed, but the average enterprise has automated only 31% of its workflows.
The same survey also shows what enterprises want from these platforms. When evaluating agent platforms, executives ranked security and governance (34%), ease of integration (30%), and reliability and performance (24%) far above time-to-value or ROI (2%).
CrewAI Platform Demographic Profile
CrewAI suggests its user and buyer base is mainly enterprise decision-makers and technical leaders rather than casual consumer users. In its 2026 State of Agentic AI survey, CrewAI says it surveyed 500 senior executives at organizations with $100M+ in annual revenue and 5,000+ employees across 7 global regions.
That makes the most reliable public demographic read on CrewAI’s audience: large-company, globally distributed, executive-level enterprise teams.
Within that audience, the strongest functional adoption signals came from IT (52%), Operations (44%), Customer Support (39%), and Sales & Marketing (39%).
So while CrewAI is a developer framework at its core, the public evidence shows its practical users and buyers are spread across both technical and business functions.
The geography is also broad. CrewAI says its users and survey respondents span 7 global regions, and its earlier enterprise announcement said developers in 150+ countries were using the platform.
CrewAI’s 2025 event page also shows a community footprint that reached 500+ attendees, 250 companies, 12+ industries, and 5 countries, which reinforces that the platform’s audience is international and cross-industry.
4. CrewAI Platform Enterprise Adoption Statistics
Enterprise demand appears to be strong and pragmatic. CrewAI’s 2026 survey found 100% of respondents plan to expand agentic AI adoption in 2026, 57% prefer building on existing tools rather than from scratch, and 74% call production deployment a critical or strategic priority.
In the same report, 35% cited data readiness and integration challenges, 33% cited insufficient talent or skills, 27% cited technology limitations, and 25% cited budget constraints. Only 23% said a lack of clear use cases was the main obstacle.
CrewAI also notes that 75% of respondents saw a high or very high impact on saving time, 69% on reducing operating costs, and 62% on generating revenue.
5. CrewAI Platform Market & Competitive Statistics
CrewAI competes in a crowded open-source agent framework market. By GitHub stars, CrewAI’s 47.8k stars place it close to LlamaIndex at 48.2k, ahead of LangGraph at 28.2k, and behind AutoGen at 56.6k.
| Platform | GitHub Stars | Public Focus |
| CrewAI | 47.8k | Role-based multi-agent orchestration |
| AutoGen | 56.6k | Multi-agent AI applications |
| LlamaIndex | 48.2k | Agentic apps, parsing, indexing |
| LangGraph | 28.2k | Stateful agent orchestration |
CrewAI’s positioning is distinct from the others. Its official site describes it as a platform for building crews of AI agents that work with enterprise applications and tools.
However, its pricing page emphasizes visual building, workflow execution, tracing, guardrails, and enterprise controls. That puts it squarely in the “operational agent platform” category rather than a pure framework-only lane.
By contrast, LangGraph emphasizes stateful, long-running agents and AutoGen emphasizes multi-agent applications that can act autonomously or alongside humans.
LlamaIndex positions itself around agentic applications and document/OCR workflows, with more than 300 integration packages in its ecosystem.
CrewAI is one of several major agent frameworks, but it is differentiated by a strong enterprise and workflow-operations story.
6. CrewAI Platform Industry Trends & Market Growth
The broader market is moving in CrewAI’s favor. McKinsey’s 2025 State of AI survey found 78% of respondents say their organizations use AI in at least one business function, and 71% say they regularly use generative AI in at least one business function.
It also found 62% of respondents say their organizations are at least experimenting with AI agents.
Developer sentiment is equally supportive. In Stack Overflow’s 2025 survey, 84% of respondents said they are using or planning to use AI tools in their development process, and 51% of professional developers said they use AI tools daily.
That is the ecosystem CrewAI is building inside: a developer base that already expects AI assistance and is increasingly comfortable with agentic tooling.
The macro market is also expanding. Deloitte predicts 25% of enterprises using GenAI will deploy AI agents in 2025, rising to 50% by 2027.
Gartner goes further, forecasting that 40% of enterprise applications will feature task-specific AI agents by the end of 2026, up from less than 5% in 2025.
Gartner also predicts 60% of brands will use agentic AI by 2028 for one-to-one interactions.
IDC’s numbers show how much money is following the trend. IDC forecasts worldwide AI spending will exceed $512B by 2027, and its 2024 research projected AI could contribute $19.9T to the global economy by 2030.
GitHub’s Octoverse 2024 report adds developer-signal context: contributions to generative AI projects rose 59% year over year, public generative AI projects grew 98%, and GitHub counted 137,000 public generative AI projects.
Conclusion
With 47.8K+ GitHub stars, 27M+ downloads, 150+ enterprise customers, and 2B agent executions in 12 months, CrewAI has quickly positioned itself as one of the most widely adopted agent orchestration platforms.
These metrics suggest that multi-agent systems are moving beyond prototypes and becoming core infrastructure for automation, decision-making, and enterprise productivity.
As the agentic AI market expands, platforms like CrewAI are likely to play an increasingly central role in how organizations build and scale AI workflows.
If current adoption trends continue, CrewAI’s growth trajectory suggests it will remain a key player in the evolving AI agent ecosystem, particularly as enterprises prioritize reliability, governance, and production deployment over experimentation.
FAQ’s
Q: How many users does CrewAI have?
CrewAI does not publish an official user count in the available public sources. Instead, scale is inferred through proxies such as 47.8k GitHub stars, 27 million PyPI downloads, over 10 million agents executed per month, and approximately 2 billion executions over the past 12 months.
Q: What is CrewAI’s estimated revenue?
Third-party estimates vary. Latka reports approximately $3.2 million in 2025 revenue, while Growjo estimates around $2.4 million annually. These are not company disclosures, so it is best to contextualize them alongside CrewAI’s reported $18 million in funding and its public pricing tiers.
Q: How fast is CrewAI growing?
Growth indicators include 47.8k GitHub stars, 27 million downloads, over 10 million monthly agent executions, and 2 billion executions within 12 months. The repository also continues to grow steadily, with recent weekly star increases as of April 2, 2026.
Q: What companies use CrewAI?
CrewAI reported in 2024 that it was already used by nearly half of the Fortune 500 and had onboarded 150 enterprise beta customers within six months. It also stated that developers across more than 150 countries are using the platform.
Q: Is CrewAI open source?
Yes. CrewAI is an open-source framework designed for orchestrating autonomous AI agents and multi-step workflows. Its GitHub repository is distributed under the MIT license.
Q: How much does CrewAI cost?
CrewAI offers a Free plan, a Professional plan starting at $25 per month, and Enterprise pricing for larger organizations. The Free tier includes approximately 50 workflow executions per month.
Q: Why does CrewAI matter in the 2026 market?
The broader market is shifting toward agentic workflows at scale. Industry data shows 62% of organizations are experimenting with AI agents, 84% of developers use or plan to use AI tools, and Gartner predicts 40% of enterprise applications will include task-specific agents by 2026. CrewAI’s execution volume and enterprise traction align strongly with this trend.
