India’s Retail GCC Hub Now Outscales Five Peers Combined

India is now the world’s largest hub for retail and FMCG global capability centres, with 180 GCCs employing about 272,300 professionals, according to a TeamLease Digital report on retail GCC hiring in India released on July 8. The market is 34 percent larger than the combined retail GCC footprints of Poland, the Philippines, Mexico, Germany, and Egypt.

The same data carries a warning. Across those 180 centres, India has only about 320 senior AI professionals with more than eight years of experience to lead the next phase, the report said.

How India Built 180 Retail GCCs

India’s retail GCC base has assembled faster than the rest of the world, in scale and in concentration. The TeamLease Digital study, titled “The Retail Pivot: Consumer GCCs Find Their India Edge,” puts the country at 180 retail and FMCG GCCs employing about 272,300 professionals, the largest such hub in any single market. The next five peer markets, Poland, the Philippines, Mexico, Germany, and Egypt, run at roughly 66 percent of India’s scale combined. The report was released on July 8.

Poland, the largest of the five, runs at only about 22 percent of India’s scale. The growth is no longer an American story, with European, Japanese, and South Korean retailers all building out in India. “The scale of retail GCC growth has accelerated in India. It is not just American retailers; European companies are also coming to India in large numbers. We are also seeing strong demand from Japanese and South Korean retailers,” Neeti Sharma, chief executive officer of TeamLease Digital, told Moneycontrol.

India’s pull, Sharma said, is the combined package: business-friendly policies, tax incentives, relatively low infrastructure costs, and government support have pushed multinational retailers to set up operations. Major retail and FMCG GCCs in India now include Lowe’s, Tesco, H&M, Walmart Global Tech, Target, L’Oréal, and AB InBev.

130 Nano Centres and the Tier-II Push

The retail GCC footprint is not a handful of mega-hubs. Around 130 of the 180 centres are nano GCCs, typically employing 200 to 250 people each, the report said. They sit across Bengaluru, Mumbai, the National Capital Region, Pune, and Hyderabad, with growing presence in tier-II and tier-III cities, including Mangaluru.

Inside the GCC base, three retail-adjacent verticals carry most of the headcount, the report said. The split, per the report’s industry breakdown:

• Retail and E-commerce: 55.8 percent of the workforce
• Food, Beverage and Ingredients: 15.7 percent
• Personal Care and Household: 11.5 percent

Expansion is already mapped. An estimated 60 to 70 percent of existing nano centres are expected to grow their workforce and operations over the next few years, Sharma said. The build-out is also spreading beyond the original metros, with newer nano centres entering tier-II cities.

The newer wave of nano entrants is also technology-first. Of the new entrants, 64 percent are technology-led and 22 percent are Data and AI-focused, the report said.

The 52,000-Job Year

Hiring demand across retail GCCs nearly doubled between 2024 and 2025, the report said, generating more than 52,000 job opportunities in 2025 alone. The Outlook Business write-up of the same report called it the sector’s strongest growth stretch in three years. Technology, customer success, and supply chain functions already account for around 60 percent of the retail GCC workforce. Together, they are projected to generate more than 80 percent of hiring demand by 2028. Demand for technology and engineering roles alone is forecast to rise from about 25,100 positions in 2025 to 41,000 by 2028.

Most of those new positions are tied to the same three functions. Technology, customer success, and supply chain are the parts of the retail GCC workforce that are growing fastest, the report said.

320 Senior AI Specialists Across 180 GCCs

India leads on AI adoption in retail GCCs, with 5 to 7 percent of the workforce in AI-related roles, ahead of every other major market the report tracks, including Germany. AI workforce penetration has more than doubled, from 2.1 percent in 2022 to 4.8 percent in 2025, and is estimated to hit 7.2 percent in 2026.

India’s retail GCC story has moved decisively past the conversation about scale. India is increasingly becoming the place where AI-led retail strategy gets built and owned, not just executed. But the same data carries a warning. With just 320 senior AI professionals across 180 GCCs and more than half of all AI talent concentrated in one city, we are looking at a capability concentration risk that most GCC leadership teams haven’t formally priced in.

Neeti Sharma, chief executive officer of TeamLease Digital, in the report released on July 8. The figure of 320 senior AI specialists is the count the report uses to size the senior talent base.

Adoption is not depth. Only 320 professionals with more than eight years of AI experience work across all 180 retail GCCs, the report said. That is fewer than two per centre on average, and the leadership of those 320 sits heavily in one city.

Half the Senior AI Bench Sits in One City

More than half of the retail GCC AI talent sits in Bengaluru, the report said. That single-city concentration is the structural risk Sharma called out.

Bengaluru’s retail GCC presence is the largest by a wide margin. The city holds over 83,000 retail GCC professionals, with Delhi NCR at over 66,000 and Hyderabad at over 44,000, the report said. Bengaluru also runs the most specialised GenAI, search, personalisation, supply-chain intelligence, and product engineering work for the major retailers’ India GCCs.

The early-career pipeline is under pressure. The report flagged 25 percent attrition in the 1 to 2 year cohort as a “design failure” and called for redesigning the 2 to 4 year talent experience, with the deliberate spread targets named as Hyderabad, Pune, and Chennai.

Hyderabad is the strongest secondary hub for AI talent, the report said. Pune is developing as a complementary engineering centre. Both are positioned as the deliberate spread targets for the next wave of hiring.

The Pay Premium Reshaping Hires

Salaries have moved with the scarcity. Professionals with core AI and technology skills are commanding salaries that are 50 to 60 percent higher than those offered for comparable conventional roles, Sharma said. AI and machine learning professionals with three to six years of experience command a median salary of Rs 46 lakh, around twice the market median. Those with six to ten years of experience earn a median of Rs 68 lakh. Mid-career specialists with three to six years of experience are the most aggressively competed-for band in retail GCC hiring, the report said.

The premium compresses the rest of the wage curve. Retailers are paying up to clear the same roles that technology firms and AI-native companies are also bidding for.

Senior professionals with over 15 years of experience and expertise in both AI and retail domain skills can earn more than Rs 1.2 crore annually, the report said. The Deccan Herald summary of the same report put the top 10 percent of that band close to or above the USD 100,000 equivalent mark in India. Compensation is increasingly linked to scarce capability rather than tenure, Sharma said.

Where 28,500 New Hires Are Coming From

The retail GCC talent base is being rebuilt from outside the industry. More than 90 percent of the 28,500 professionals hired by retail GCCs over the past year came from outside retail, the report said. IT services firms contributed 17.5 percent of hires, followed by product companies at 14 percent and consulting firms at 10.5 percent.

The differentiator for GCCs is no longer the size of the workforce, but the value generated per employee. AI automates routine work and shifts talent demand toward AI, data, engineering, and domain expertise.

Rajesh Ramesh, a technology leader at Tesco, in the report. His quote appears in the report’s industry-leader commentary section. “India has earned the right to be global retail’s centre of gravity,” Sharma said. “What happens next depends entirely on how deliberately we build the senior AI bench to match that ambition,” Sharma added.