Bengaluru, Hyderabad, Delhi lead investment in premium office spaces: NTT DATA

Cities such as Bengaluru, Hyderabad and Delhi-NCR continue to drive strategic investment in global capability centres (GCCs), specifically in premium office spaces, Tokyo-headquartered IT services firm NTT DATA said in a report.

The India Global Capability Centre Innovation Transformation Report 2025, released on Wednesday, analyses the evolution of India’s GCC ecosystem. It was published in collaboration with the Mainstream, a platform tracking the tech industry.

According to the report, investment demand is high for premium, amenity-rich residential properties alongside technology clusters.


India houses more than 1,900 GCCs, the report said. The growth was the fastest between FY19 and FY24, when more than 400 GCCs were added.

This report comes amid GCC expansion beyond the established hubs to smaller cities. Tier-2 and -3 cities such as Kochi, Coimbatore and Jaipur together host more than 190 GCCs, the report added.

While infrastructure quality attracted GGCs into tier-1 cities, lower operational cost, less saturated talent markets and a better quality of life for employees drove the tier-2 and -3 city expansion, the report added.

However, the report said, non-top-tier cities face capability gaps in infrastructure.

Talent challenges

According to a majority of GCCs, hiring specialised talent remained a challenge for them, the report said. As much as 42% of GCCs surveyed in the report said scarcity of seasoned talent is critical as there is competition from higher-paying tech product companies. Securing high-calibre talent in tier-2 cities especially remained a significant hurdle.

Artificial intelligence readiness and cyber-attacks are other key challenges for growth, it said.

There is a clear indication that those with tech investments and talent upskilling are the first ones to become innovation hubs, Avinash Joshi, executive managing director, India at NTT DATA, said in the report.

Only 22% of organisations in India report measurable outcomes from current AI deployments, the report said. This gap indicates that simply investing in AI tools is insufficient if the data foundation is flawed.