A curated collection of 400+ AI startup market maps from top VCs, analysts, and practitioners, tracking industry trends from 2024-2026.
Awesome AI Market Maps is a curated GitHub repository that aggregates over 400 artificial intelligence startup market maps from leading venture capital firms, industry analysts, and AI practitioners. It solves the problem of fragmented AI investment intelligence by providing a single, organized resource that tracks industry trends, emerging niches, and investment themes from 2024 through 2026. The project helps users discover which AI sectors are gaining traction and how investor sentiment is evolving.
Venture capitalists, startup founders, market analysts, and researchers who need to track AI investment trends, identify emerging companies, and understand competitive landscapes. It's particularly valuable for those conducting due diligence or looking for market gaps.
Developers and analysts choose this project because it offers unparalleled breadth and curation of AI market maps in one place, saving hours of manual research. Its quarterly organization provides unique temporal insights into how AI investment themes shift, and its open, community-driven model ensures the data stays current and comprehensive.
An Awesome List of 500+ AI Market Maps from 2026 and 2025.
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Aggregates over 400 market maps from top-tier sources like a16z, Bessemer, and CB Insights, eliminating the need to manually track dozens of individual reports.
Organizes maps by quarter from 2024 to 2026, clearly highlighting how investment themes like AI agents or vertical AI gain or lose momentum over time.
Provides a searchable CSV, an MCP server for programmatic queries, and an RSS feed, catering to both manual researchers and developers building tools.
Accepts pull requests and submissions via multiple channels, leveraging the crowd to keep the list comprehensive and current, as noted in the 'ADD OR UPDATE' section.
The CSV is only updated bimonthly and the README relies on manual curation, causing delays in reflecting the very latest market maps compared to real-time services.
The methodology uses AI tools and human 'taste,' which may miss niche or proprietary maps, and the editor admits a slowdown in 2026 map creation from top VCs.
Serves purely as a directory without analytical tools, metrics, or visualization, forcing users to export and manually interpret the maps for deeper insights.