Run multiple AI agents in parallel to automate background tasks

Run multiple AI agents in parallel to automate background tasks targets a $120.0B = 200M global knowledge workers x $600/yr average spend on productivity/AI tooling total addressable market with medium saturation and a year-over-year growth rate of 30% annual growth for AI productivity tooling / agent orchestration niche.

Key trends driving demand: Local inference -- Smaller models and on-device acceleration let users run agents without cloud costs or data exfiltration.; Autonomous workflows -- Users move from single-shot prompts to chains of autonomous agents that take initiative and iterate.; Parallel computing on consumer hardware -- Multicore CPUs and GPUs make concurrent agent execution practical for end users.; Developerization of AI -- Open-source agent frameworks and templates accelerate product iteration and third‑party integrations..