206 AI developers voted in a category with a clear leader and a significant spread between first and second place. Here is what the results reveal.
The March 2026 IT Brand Pulse AI Brand Leader survey asked 206 members of the AI developer community to vote for Market Leader and Intelligence & Innovation Leader in Data Labeling Platforms, one of 26 products in the AI Engineering stack. Scale AI took the top position in both categories, receiving 37.9% of votes for Market Leader and 39.8% for Intelligence & Innovation Leader. Labelbox finished second in both pillars with 21.8% for Market Leader and 20.4% for Innovation.
The 16-point spread in market share and 19-point spread in innovation between first and second place indicate Scale AI has established both strong developer mindshare and leadership in advancing the category. Snorkel AI (12.1% market, 15.0% innovation) represents a meaningful third tier focused on programmatic labeling approaches. The IT Brand Pulse analyst team expects data labeling to increasingly integrate with synthetic data generation and evaluation workflows.
What Are Data Labeling Platforms?
IT Brand Pulse defines Data Labeling Platforms as systems that enable the annotation, curation, and management of datasets used to train and evaluate AI models. These platforms provide capabilities such as human-in-the-loop labeling, automated and AI-assisted annotation, workflow orchestration, quality control, and dataset versioning. They are foundational to AI development, ensuring that models are trained on high-quality, accurately labeled data across modalities including text, images, video, and audio. Data Labeling Platforms sits within the Data & Retrieval sub-layer of the broader AI Engineering stack, alongside Synthetic Data Platforms and Feature Stores.
Download the Brand Leader Report for Data Labeling Platforms.
