225 AI developers voted in a category with one of the most decisive leadership positions across the AI engineering stack. Here is what the results reveal.
The March 2026 IT Brand Pulse AI Brand Leader survey asked 225 members of the AI developer community to vote for Market Leader and Intelligence & Innovation Leader in Knowledge Graph Platforms, one of 26 products in the AI Engineering stack. Neo4j took a dominant lead in both categories, receiving 35.1% of votes for Market Leader and 32.0% for Intelligence & Innovation Leader. TigerGraph finished second in both pillars with 17.8%.
The 17.3-point spread in market share and 14.2-point spread in innovation between first and second place represent one of the most decisive leadership positions across the entire AI Engineering stack. The alignment of market and innovation leadership suggests that Neo4j’s technical advancements are directly translating into developer adoption and ecosystem strength. The IT Brand Pulse analyst team views this category as showing signs of maturity, with a clear incumbent continuing to extend its lead.
What Are Knowledge Graph Platforms?
IT Brand Pulse defines Knowledge Graph Platforms as systems that model, store, and query relationships between entities using graph-based data structures, enabling AI applications to reason over connected data with context, semantics, and explainability. These platforms provide capabilities such as graph databases, ontologies, semantic reasoning, entity resolution, and query languages (e.g., Cypher, SPARQL), making them essential for applications that require structured knowledge representation, explainable AI, and contextual intelligence across domains like finance, healthcare, cybersecurity, and enterprise search. Knowledge Graph Platforms sits within the Context & Memory sub-layer of the broader AI Engineering stack, alongside AI Context Engineering Platforms, AI Memory Platforms, Multimodal Memory Platforms, and Vector Databases.
Download the Brand Leader Report for Knowledge Graph Platforms.
