Make wide-to-long data reshaping intuitive for non-coders

Make wide-to-long data reshaping intuitive for non-coders targets a $4.5B = 1.5M businesses × $3K ACV (annual per-business spend on lightweight data-prep/analytics tools and add-on utilities) total addressable market with medium saturation and a year-over-year growth rate of 12% CAGR for data preparation and self-service analytics market (IDC and Forrester estimates for data prep/self-service analytics growth, 2023–2026).

Key trends driving demand: Self-serve analytics adoption is rising — more teams want to clean and reshape data without depending on engineers, creating demand for simple tools.; No-code and low-code tooling is mainstreaming — non-technical users expect visual, example-driven UIs that reduce cognitive load.; Spreadsheet-first workflows remain dominant in SMBs — tools that embed into or interoperate seamlessly with Google Sheets and Excel can reach users where they already work.; AI and NLP make intent inference practical — suggestion engines can surface likely transformations from a few examples, reducing the need for technical terminology..