GTT Data reports ₹16.53 Cr revenue, sets sights on AI-driven expansion

In April 2025, GTT Data Solutions acquired two Indian data engineering and analytics firms to strengthen its AI and Dual Intelligence offerings, positioning itself as a provider of both Human and Artificial Intelligence solutions in a dynamic tech landscape

GTT Data Solutions, a rapidly emerging player in the data engineering and analytics sector, reported revenue of ₹16.53 crore for the fiscal year 2024–25 during its recent Board meeting held in Sangli, which is set to become the company’s new Global Capability Center (GCC).

Under the leadership of Managing Director Pankaj Samani, the company is targeting a steep growth trajectory. “With strong momentum across all business units, we expect to achieve an annual revenue run rate of ₹150 to ₹180 crore by the end of the current fiscal year,” Samani said. He attributed the optimistic outlook to recent acquisitions and ongoing plans to expand further, including a potential acquisition in Singapore.

In April 2025, GTT Data Solutions acquired two Indian firms specializing in data engineering and analytics, bolstering its capabilities in delivering integrated AI and Dual Intelligence solutions. The company is positioning itself as a provider of both Human Intelligence and Artificial Intelligence services — a dual-pronged strategy it says is essential in navigating the rapidly evolving technology landscape.

Chairman Dr. Ganesh Natarajan emphasized the company’s strategic direction, projecting an annual growth rate of 20–25% over the next three to five years. “Our uniqueness lies in integrating people, data, and software to offer end-to-end solutions for enterprises adapting to the AI era,” Natarajan noted. He added that leadership appointments have been made to head both AI and Human Intelligence divisions, forming the foundation for continued expansion through organic growth and market-focused acquisitions.

CEO Gopalraje Patwardhan highlighted a broader industry shift. “GTT Data is well positioned to leverage the transition from a purely technology-driven IT approach to a more customer-centric model,” he said.

Having already invested in setup, team expansion, and transaction costs in its first operational year, the company now looks ahead to scale through both strategic growth and a sharpened focus on innovation in data and AI services.