Measure real process bottlenecks first — then automate with robots

Measure real process bottlenecks first — then automate with robots targets a $18.0B = 300,000 mid-large enterprises x $60K ACV (enterprise process discovery & optimization suites) total addressable market with medium saturation and a year-over-year growth rate of 15-25% (process mining + automation optimization segment).

Key trends driving demand: RPA adoption acceleration -- firms have deployed bots but need tools to find high-ROI targets, creating demand for discovery-first offerings.; AI-driven process understanding -- improved sequence and vision models enable automatic task inference from logs, screens, and sensors which lowers instrumentation cost.; Labor arbitrage & staffing constraints -- firms seek to optimize workflows before hiring/robotic capital, raising investment in measurement tools.; Cloud-native observability -- proliferation of telemetry and cloud logs provides richer inputs for process mining at lower implementation cost..