Turn repetitive data reports into polished slide decks via Python notebooks

Turn repetitive data reports into polished slide decks via Python notebooks targets a $12.0B = 200M knowledge workers x $60/year average spend on presentation/report automation and add-ons total addressable market with medium saturation and a year-over-year growth rate of 12-18% annual growth as reporting automation and notebook usage expand.

Key trends driving demand: notebook-first analytics -- teams standardize on Jupyter/Colab for reproducibility, making notebook-to-slide conversion natural; automation-of-recurring-reports -- businesses seek to eliminate manual, repetitive slide assembly for weekly/monthly reports; LLM-generated narratives -- large language models can produce slide text and executive summaries, reducing writer time; template-management demand -- enterprises require consistent branding and governance for slides, driving adoption of templated generation.