RateGain named fastest growing SaaS company at ET Enterprise AI Awards 2026
- RateGain named Fastest Growing SaaS Company at ET Enterprise AI Awards 2026
- Jury assessed growth in annual recurring revenue, user growth and retention
- Company serves 33 of top 40 hotel chains and 4 of top 5 airlines
- Platform processes 231 billion availability and rate data points annually
- Sojern acquisition added travel intent data to existing inventory capabilities
*this image is generated using AI for illustrative purposes only.
RateGain Travel Technologies Limited has been named the Fastest Growing SaaS Company at The Economic Times Enterprise AI Awards 2026. The recognition highlights the company's scale in enterprise artificial intelligence for the travel sector.
The award was presented on September 18, 2026. An independent jury assessed entries based on growth in annual recurring revenue, user growth, customer retention and engagement, and the scale of enterprise and small business adoption.
Market Reach and Data Scale
RateGain operates with a significant share of global travel distribution. The company works with 33 of the world's top 40 hotel chains, four of the top five airlines, and seven of the top ten car rental companies. It also serves 25 Global Fortune 500 companies.
| Customer Segment | Coverage |
|---|---|
| Top Hotel Chains | 33 of top 40 |
| Top Airlines | 4 of top 5 |
| Top Car Rentals | 7 of top 10 |
| Fortune 500 Companies | 25 |
The platform connects more than 200,000 properties to over 700 demand partners. It processes more than 231 billion availability, rate and inventory data points each year. This volume provides a broad view of how travel is priced and distributed globally.
Strategic Data Integration
In March 2026, RateGain consolidated its marketing technology capabilities under Sojern. This addition integrated the world's largest source of travel intent data with its existing inventory data.
Bhanu Chopra, Founder and Managing Director, stated that this combination allows customers to make pricing, distribution and marketing decisions from a single view of the traveller. He noted that as the customer base grows, the data generated across the network strengthens the AI models, creating a compounding advantage.
What the Numbers Show
The company's competitive position relies heavily on data density rather than just software features. Processing 231 billion data points annually while serving 33 of the top 40 hotel chains indicates a high concentration of market share among industry leaders. This suggests that RateGain's AI models are trained on a disproportionate share of global travel transactions compared to competitors who may have broader but shallower data sets.
About the Awards
The Enterprise AI Awards 2026 recognize organizations driving measurable business transformation through artificial intelligence. Categories span AI products, enterprise adoption, responsible AI and industry-specific innovation.
Historical Stock Returns for RateGain Travel
| 1 Day | 5 Days | 1 Month | 6 Months | 1 Year | 5 Years |
|---|---|---|---|---|---|
| -0.68% | -0.79% | -9.47% | +78.14% | +34.00% | +152.79% |
How might the integration of Sojern's travel intent data with RateGain's inventory data shift competitive dynamics against pure-play pricing optimization rivals?
Could RateGain's high concentration among top-tier hotel chains and airlines create barriers to entry for emerging AI competitors in the travel tech sector?
What are the potential risks associated with RateGain's reliance on data density from a limited number of global giants if major clients switch platforms?
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