# Survey of Big Data sizes in 2021

arXiv: https://arxiv.org/abs/2202.07659 · HTML: https://mlsanity.com/paper/2202.07659/

## Key facts

- Cited by 4 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 15 Feb 2022.

## Built on by (most cited first, 4 of 4)

- [Modality-Agnostic Variational Compression of Implicit Neural Representations](https://mlsanity.com/paper/2301.09479/) (2023)
- [Scaling Laws in Jet Classification](https://mlsanity.com/paper/2312.02264/) (2023)
- [Relevance-aware Algorithmic Recourse](https://mlsanity.com/paper/2405.19072/) (2024)
- [D-CNN and VQ-VAE Autoencoders for Compression and Denoising of Industrial X-ray Computed Tomography Images](https://mlsanity.com/paper/2507.07704/) (2025)

## Abstract (arXiv)

The modern increase in data production is driven by multiple factors, and several stakeholders from various sectors contribute to it. Although drawing a comparison of the sizes at stake for different big data players is hard due to the lack of official data, this report tries to reconstruct the yearly orders of magnitude generated by some of the most important organizations by mining several online sources. The estimation is based on retrieving meaningful unitary data production measures for each of the big data sources considered, and the yearly amounts are then obtained by conjecturing reasonable per-unit sizes. The final result is summarized in the form of a bubble plot.