We run a trend tracking engine at Inqvey that monitors real-time activity across GitHub, Y Combinator, academic research, SEC filings, Hacker News, and Stack Overflow. Robotic process automation came back with activity across all six sources.
The trend signals
- Y Combinator: 26 startups across 4 batches. One of the highest counts in our tracker.
- GitHub: 736 new repos in 30 days, 3.2k stars. The tooling layer is expanding fast.
- Academic research: 399 papers, 21.6k citations. One of the deepest research foundations across all 20 trends we track.
- SEC filings: 9 corporate disclosures. More than AI agents (3) or workflow automation (7).
- Hacker News: 27 stories, 121 points. Discussions focused on real-world applications.
- Stack Overflow: 5 questions. Developers hitting real implementation problems.
What the buyers say
We ran an AI-powered survey - ~1,000 simulated B2B SaaS respondents across 5 roles. Validated against Ipsos with ±2-6pp accuracy.
- 52.6% say they'll adopt within 12 months. Solid intent but cautious compared to cybersecurity (67.4%) or conversational AI (60.2%).
- Primary driver: efficiency improvement (39.3%). Not cost reduction (27.7%). Buyers want better, not cheaper.
- Top barrier: integration challenges (33.1%). Same pattern across every B2B category we research.
- 40.9% prefer established large-scale providers. The market wants proven platforms, not experiments.
What this means if you're building
The investor signal is strong. The developer activity is real. But buyers are cautious and trust-driven. If you're a startup entering this space, your case studies and credibility matter as much as your product.
Trend signal breakdown: https://inqvey.com/trends/robotic-process-automation-2026
Full survey results: https://inqvey.com/data/robotic-process-automation-2026
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