ITB 2026: Data Infrastructure Challenges Facing the Travel Industry

Key Takeaways

• Batch data delivery causes decision lag
• AI models need real-time pricing feeds
• On-demand APIs replace static file transfers
• GDS data misses NDC and LCC pricing
• Ancillary data gaps hinder full revenue optimization

Summary

At ITB 2026 industry leaders highlighted that legacy batch‑based data pipelines are throttling revenue‑management and AI initiatives. Competitive intelligence feeds still refresh once daily, creating a lag that undermines dynamic pricing. Airlines cited the rise of NDC and low‑cost carriers as evidence that GDS‑only pricing no longer reflects market reality. The consensus is a shift toward on‑demand APIs, semantically structured feeds, and real‑time data to power next‑gen AI agents.

Pulse Analysis

The travel sector’s data backbone is at a crossroads. Traditional batch processes, once sufficient for periodic reporting, now lag behind the rapid pace of market fluctuations. Revenue managers and pricing directors are confronting a widening gap between the frequency of internal BI refreshes and the once‑daily cadence of external competitive feeds. This misalignment hampers the accuracy of AI‑driven pricing engines, which rely on fresh inputs to generate reliable forecasts. Consequently, firms are accelerating the migration to on‑demand APIs and semantically enriched data streams that deliver near‑real‑time market signals.

Aviation illustrates the distribution fragmentation reshaping the industry. Global Distribution Systems have long been the cornerstone for fare filing, yet the emergence of New Distribution Capability (NDC) and the proliferation of low‑cost carriers operating outside legacy channels have diluted the completeness of GDS data. Executives at ITB noted that relying solely on GDS feeds overlooks a substantial share of actual customer pricing, especially ancillary services that drive ancillary revenue. This intelligence gap forces airlines to seek alternative data sources that capture the full spectrum of fare structures, including dynamic bundles and ancillary add‑ons, to maintain competitive edge.

Strategically, travel companies must invest in flexible, real‑time data architectures. Deploying on‑demand APIs enables seamless integration with AI models, while semantically structured feeds simplify parsing and reduce latency. Moreover, expanding data collection beyond traditional GDS channels to include NDC, OTA, and direct booking platforms ensures a holistic view of market dynamics. Organizations that prioritize these upgrades will unlock more accurate dynamic pricing, improve margin protection, and position themselves for sustained growth in an increasingly data‑driven ecosystem.