Why Location Analytics Now Decides Competitive Advantage for the GCC

The evolution is clear in the external signals. Nasscom has described India as the go-to destination for GCCs. At the same time, NITI Aayog has framed the broader technology-services economy as being at an AI inflection point, suggesting that the India GCC story is about to reach the next level. Reuters reported in May 2026 that India had become the “world's largest GCC hub.”

For me, the important news is not that India has “become the world's largest GCC hub” and that we are “winning” as a GCC destination. I am excited because the basis of winning has changed. A decade ago, conversations about location often got lost as the discussion quickly shifted to cost arbitrage.

Today, cost arbitrage is table stakes, and the real differentiator is whether a city can support the talent density, specific skill sets and execution model a GCC needs.

India is not just five or six office markets. It is a much larger map with nearly 40 office markets, six Tier-1 cities, and a growing set of Tier-2 and Tier-3 options. That is precisely why city selection needs a more disciplined approach.

The first lens for the selection is talent.

Regardless of what a city offers, it must meet the specific needs of the GCC—and every GCC has a different purpose. Some want to build a boutique centre focused on niche work. Others want size and scale, with ambitions to grow into the thousands. That purpose should shape the entire city-selection model.

One way to think about the decision is to start with five questions:

1. 01 / Mission

   Is the mission of the GCC niche capability, scale delivery, product engineering, or a hybrid model?

2. 02 / Talent horizon

   What is the talent need in the next 12 to 24 months, and where in India is that talent available at the required quality and cost?

3. 03 / Commute tolerance

   What is the tolerance band for commute times before it becomes a factor in lowering workforce productivity and increasing churn?

4. 04 / Workplace context

   What is the office and neighbourhood ecosystem the model requires: premium campus-style space, dense mixed-use districts, or distributed micro-markets?

5. 05 / Expansion path

   What does the next expansion path look like if the first 300 people become 1,500?

The answers rarely point to a universally “best” city. They point instead to a city that best matches the next three years of growth and can still stretch to support the next seven.

This is where Embark's AI-enabled decision support becomes powerful. Our underlying location analytics model evaluates a weighted mix of variables. The mix includes talent availability, cost, attrition, ease of hiring, ease of ramp-up, peer base, real estate dynamics, connectivity, social fabric, climate, and geopolitical considerations.

That means leadership teams receive a ranking and, more importantly, they receive the reasoning needed to justify their decision internally.

This is more important than it initially sounds. Debates over location are complex. I have seen them delaying action. Traditional city-evaluation exercises can take six to twelve weeks of consultant-led analysis to reach a decision. By using a layer of AI on top of data, Embark compresses that cycle into days (maybe even hours) without sacrificing decision quality. Result: clients gain speed and can move to live decision-making with confidence.

Many enterprises stop after identifying a couple of top cities. In practice, that is only step one. The next question is, “Where within the city should my GCC be located?”

That is particularly important in cities such as Bengaluru, where the north, west, CBD, southeast, and south can each create a very different workforce experience. Embark's approach extends from city selection to micro-market selection by layering in peer concentration, talent catchment density, office availability, occupancy costs, workspace quality, connectivity, infrastructure, residential access, commute patterns, and social infrastructure, such as hotels, retail, schools, and F&B, into the analysis.

This is what makes location analytics the new science of GCC planning.

It translates broad strategic intent into a specific address, which in turn translates into a workforce experience, a cost structure, and a growth path.

A disciplined GCC city decision should weigh these factors:

If two cities look close on paper, the better choice is usually the one that reduces operating friction after year one. That is the point of a location analytics mindset. It turns a subjective debate into a repeatable process and allows leadership teams to justify their choices with evidence rather than instinct.