Over the last two decades, India has steadily evolved from a cost-arbitrage destination into the world’s most sophisticated ecosystem for Global Capability Centers. What began as offshore back-office operations has transformed into high-impact engineering hubs, digital innovation centers, cybersecurity operations, AI and data labs, and full-scale product development units supporting global enterprises.
As organisations plan their 2026–2030 growth and transformation agendas, the conversation around GCCs has matured. The question is no longer whether India is the right destination. Instead, leadership teams are asking a more nuanced and practical question: what does it actually cost to set up and run a GCC in India today, and how predictable are those costs over time?
This question surfaces at board meetings, investment committees, and global operating reviews because the answer directly affects long-term competitiveness. While India continues to offer unmatched depth of talent and scalability, GCC costs are often misunderstood. Many public estimates are either outdated, overly simplistic, or based on narrow models that do not reflect how modern GCCs operate.
In 2026, the cost of setting up a GCC in India is shaped by multiple interconnected factors. Talent and leadership costs dominate the overall spend, but real estate strategy, technology choices, compliance maturity, and operating model decisions play equally critical roles. City selection, capability mix, and the pace of ramp-up can materially change the cost profile, even for organisations operating at similar scale.
The reality is that there is no single “average” GCC cost in India. Two centres with the same headcount can have very different economics depending on whether they focus on advanced engineering or transactional work, whether they operate from Bangalore or Hyderabad, or whether they adopt a fully captive, hybrid, or transitional operating model.
This guide takes a structured, reality-based view of GCC costs in India in 2026. Rather than presenting headline numbers, it breaks down where the money is actually spent, how costs behave during the first 24 months, and which decisions have the biggest long-term impact. The intent is not to provide a budget template, but to help leaders build informed, defensible cost models that align with their capability and growth objectives.
For organisations evaluating India as a long-term capability hub, understanding these cost dynamics is the first step toward building a GCC that delivers sustained value, not just short-term savings.
To understand the true cost of setting up a Global Capability Center in India, it is important to move beyond headline figures and look at the structural drivers that shape GCC economics. In 2026, GCC costs are no longer determined by a single variable such as headcount or office rent. Instead, they are the outcome of multiple interconnected decisions that play out over the first 24 to 36 months of operations.
The most significant driver is the capability mix a company chooses to build. A GCC focused on advanced engineering, cloud platforms, data, cybersecurity, or AI will have a very different cost profile from one centred on shared services or transactional operations. Skill depth, experience requirements, and leadership density all rise as capabilities become more complex, pushing talent costs higher but also increasing the value delivered by the center.
Talent and leadership costs form the core of GCC economics. In most mature centres, compensation accounts for roughly two-thirds of total operating spend. This includes not only individual contributors but also the leadership layer required to run global programs, manage stakeholders, and ensure delivery quality. Decisions around how quickly to hire senior leaders, and how much authority to place locally, have a direct impact on both short-term setup costs and long-term stability.
Another key driver is city selection. India’s major talent hubs differ meaningfully in salary benchmarks, real estate costs, attrition patterns, and talent availability. Choosing Bangalore versus Hyderabad, or Pune versus Chennai, influences not just direct costs but also hiring speed, churn, and long-term scalability. These differences compound as headcount grows.
Operating model choices also shape cost outcomes. Fully captive GCCs, hybrid models, and build-operate-transfer structures all distribute costs differently across the early years. Some models require higher upfront investment but deliver lower long-term cost volatility. Others prioritise speed and flexibility at the expense of near-term efficiency.
Beyond these visible factors, execution decisions matter. The pace of ramp-up, notice-period management, onboarding effectiveness, and transition planning can quietly add or reduce significant cost during the first year. Organisations that underestimate these elements often experience budget overruns despite competitive salary benchmarks.
In practice, GCC setup costs in India are driven less by any single expense line and more by how well these variables are aligned. Leaders who understand these drivers early are better positioned to build cost models that remain resilient as the centre scales, rather than being surprised by hidden or compounding expenses later.
Talent and compensation costs sit at the centre of every GCC cost model in India. In 2026, this remains the single largest expense category, typically accounting for around 60 to 70 percent of total operating cost. While India continues to offer a strong cost-to-skill advantage globally, the economics of talent have become more nuanced as GCCs take on higher-value, more complex work.
The first factor shaping talent cost is experience mix. Entry-level and early-career professionals remain relatively cost-efficient, but the cost curve rises sharply at the mid-senior and senior levels. Architects, principal engineers, product leaders, data scientists, and cybersecurity specialists command a clear premium, not only because of demand, but because these roles carry accountability for outcomes rather than tasks. GCCs that underestimate leadership and senior talent density often face delivery risk and higher downstream hiring costs.
Capability type further influences salary structures. In 2026, roles in cloud engineering, data platforms, AI and machine learning, cybersecurity, and platform reliability are priced higher than traditional enterprise application or transactional roles. This reflects both market demand and the global criticality of these skills. Centres focused on advanced digital work should expect a higher average cost per employee, balanced by higher productivity and impact.
City-level variation continues to matter. Bangalore remains the most competitive market, with the highest salary benchmarks driven by concentration of global product companies and deep tech firms. Hyderabad offers a more predictable cost environment with strong availability across cloud, data, and platform engineering. Pune and Chennai provide balanced economics for enterprise technology, engineering, and QA-led centres, while NCR tends to command higher premiums for product management, analytics, and consulting-oriented roles. These differences widen as scale increases.
Another often overlooked factor is employer positioning. GCCs backed by well-known global brands or clear long-term mandates typically experience lower hiring friction and reduced salary escalation over time. Strong value propositions, stability, and visible career paths help attract and retain talent without continuous compensation inflation.
By 2026, salary inflation across India has moderated compared to the peak years of 2021 and 2022, though select digital roles continue to see upward pressure. For most GCCs, talent costs stabilise once leadership layers are in place and attrition is managed proactively.
Ultimately, talent economics in a GCC are not just about paying less, but about paying correctly. Centres that align role design, leadership structure, and city strategy tend to achieve far more predictable cost outcomes than those that focus narrowly on headline salary numbers.
A mid-sized GCC with 100 engineers in Hyderabad typically operates with an average annual cost of ₹22–26 LPA per engineer, depending on seniority and skill mix.
This translates to a total annual talent cost of ₹22–26 crore.
When real estate, infrastructure, and facilities are added (roughly 15%), this contributes another ₹3.3–3.9 crore annually.
Technology platforms, cloud infrastructure, security tooling, and collaboration systems usually add ₹2.2–2.6 crore, while HR, compliance, and operational overheads contribute an additional ₹1.5–1.8 crore.
Estimated annual run-rate: ₹29–34 crore
This example highlights why accurate planning matters more than headline salary numbers when budgeting a GCC.
Real estate is the second most visible cost component in a GCC setup, but in 2026 it is no longer the rigid, long-term commitment it once was. While office space and infrastructure typically account for a smaller share of overall GCC cost than talent, the choices made here have a disproportionate impact on flexibility, scalability, and long-term efficiency.
Across India, real estate costs vary widely by city, micro-market, and workspace strategy. Bangalore continues to command the highest rentals, particularly in established technology corridors and central business districts, driven by sustained demand from global product companies and mature GCCs. Hyderabad offers a more predictable and cost-efficient environment, with well-planned IT corridors and steady supply supporting large-scale GCC expansion. Pune and Chennai provide balanced economics, especially for enterprise technology and engineering-led centres, while NCR shows significant variation depending on location, with Gurugram typically priced at a premium.
Beyond headline rentals, workspace model selection has become a critical cost lever. In 2026, most GCCs no longer rely exclusively on traditional long-term leases. Instead, organisations increasingly adopt hybrid footprints that combine dedicated offices with flexible or coworking space. This allows them to manage early-stage uncertainty, support phased ramp-ups, and avoid overcommitting capital before team size stabilises.
Infrastructure-related costs extend well beyond rent. Fit-outs, security systems, access controls, network redundancy, power backup, and compliance-driven facilities upgrades all add to the total cost of ownership. Centres supporting sensitive data, regulated workloads, or 24/7 operations often incur higher infrastructure spend to meet global standards.
Facilities management, utilities, maintenance, and shared services such as parking, cafeteria operations, and physical security also contribute steadily to operating cost as headcount grows. While each line item may appear modest, together they form a meaningful part of the annual budget.
In practice, real estate and infrastructure typically represent between 11 and 18 percent of a GCC’s operating cost, depending on location and design complexity. Organisations that approach workspace decisions with flexibility and long-term scaling in mind tend to avoid costly reconfigurations later. Those that lock into oversized or overly rigid footprints early often find that real estate becomes a constraint rather than an enabler as the GCC matures.
HR, legal, and compliance costs form the structural backbone of a GCC, yet they are often underestimated during early-stage planning. In 2026, as India’s GCC ecosystem matures and regulatory expectations increase, these costs are no longer peripheral. They directly affect speed of setup, operational stability, and the organisation’s ability to scale without friction.
At the foundation are employment and HR operations. This includes recruitment operations, background verification, onboarding, payroll processing, statutory benefits, and HRMS platforms. While each component may appear modest on its own, together they create a recurring cost base that grows steadily with headcount. GCCs that expand rapidly often experience a disproportionate increase in HR workload during the first year, particularly if hiring velocity outpaces internal process maturity.
Legal entity setup and governance represent another essential cost layer. Establishing a compliant India entity, structuring employment contracts, defining IP ownership frameworks, and aligning with global policies require upfront legal investment. Ongoing legal support is also needed to manage contract updates, policy changes, and regulatory interpretation as the centre evolves.
Compliance obligations extend beyond employment law. GCCs handling sensitive data or regulated workloads must invest in data protection frameworks, access controls, audit readiness, and documentation aligned with both Indian regulations and global standards. As more centres support core business functions rather than support roles, the expectation for robust compliance has increased significantly.
Employer branding and employee engagement also sit within this cost category. Competitive markets require visible investment in communication, learning frameworks, and internal culture-building initiatives to reduce attrition and maintain productivity. While these initiatives are sometimes viewed as discretionary, their absence often results in higher hiring and replacement costs later.
In most GCCs, HR, legal, and compliance expenses account for approximately 3 to 6 percent of total operating cost. The real risk lies not in the size of this spend, but in underinvesting early. Centres that delay building compliant, scalable HR and governance foundations often face higher costs during audits, rapid expansions, or leadership transitions. In contrast, those that establish strong frameworks from the outset tend to experience smoother scaling and more predictable cost behaviour over time.
Operational overheads and administrative costs are rarely the focus of early GCC planning discussions, yet they play a meaningful role in shaping the centre’s cost structure over time. In 2026, as GCCs in India operate with greater autonomy and scale, these costs become more visible and more consequential.
This category includes the day-to-day functions required to keep the GCC running smoothly. Finance operations, vendor management, procurement, internal controls, and administrative support all sit within this layer. While these functions do not directly contribute to delivery output, they are essential for governance, transparency, and operational continuity, particularly as headcount increases and programs become more complex.
Facilities-related services also form part of this cost base. Beyond core real estate expenses, GCCs incur ongoing costs for office operations such as utilities, maintenance, security staffing, pantry and cafeteria services, and workplace support teams. As centres grow, expectations around employee experience rise, often leading to additional spend on engagement initiatives, internal events, and wellness programs. These investments, while sometimes viewed as discretionary, can influence retention and productivity in competitive talent markets.
Travel and collaboration costs remain relevant even in hybrid work environments. Leadership visits, global stakeholder meetings, training sessions, and transition-related travel continue to feature in GCC budgets, especially during the first 12 to 18 months of operation. While remote collaboration has reduced some expenses, it has not eliminated the need for physical interaction entirely.
Training and development is another operational expense that expands with maturity. As GCCs move from execution-focused roles to ownership of end-to-end systems and products, investment in upskilling, leadership development, and domain training increases. These costs are often planned annually but should be viewed as a long-term capability investment rather than a variable overhead.
In aggregate, operational and administrative overheads typically contribute between 5 and 10 percent of total GCC operating cost, depending on governance intensity and scale. Organisations that plan for these expenses early tend to avoid budget surprises as the centre grows. Those that treat overheads as an afterthought often experience cost creep that becomes harder to control once the GCC reaches critical mass.
One of the most common reasons GCC budgets drift off course is not poor planning around visible costs, but the failure to account for expenses that surface only after operations begin. These hidden or less visible costs rarely appear in early feasibility models, yet they materially affect both year-one burn and the time it takes for a GCC to reach stable productivity.
A major contributor is the leadership layer premium. Senior roles such as engineering directors, HR heads, finance controllers, and security leaders are essential for running a GCC at scale, but they are often hired later than planned. When leadership hiring is delayed, organisations frequently rely on interim arrangements or global stakeholders, which introduces inefficiencies and indirect cost. When leadership is eventually hired, compensation expectations are higher due to the maturity and responsibility of the role.
Notice-period dynamics also create hidden cost. India’s longer notice periods can slow down ramp-up, forcing organisations to maintain parallel pipelines, overhire in anticipation of delays, or extend transition timelines. These practices increase short-term spend without immediately increasing output, particularly in the first six to nine months.
Attrition-driven rehiring is another factor that is frequently underestimated. Even in stable markets, early-stage GCCs often experience higher churn as teams settle, leadership structures solidify, and role clarity improves. Each replacement carries recruitment cost, onboarding time, and lost productivity that is not always reflected in initial budgets.
There is also a productivity stabilisation period that many organisations fail to price in. New teams rarely operate at peak efficiency from day one. Process alignment, tool standardisation, domain understanding, and collaboration norms typically take three to six months to mature. During this phase, cost accrues faster than measurable output, creating the perception of inefficiency if expectations are not managed.
Finally, transition and knowledge transfer expenses add another layer. Travel, shadowing, training sessions, and dual-running of processes during handover periods all contribute to early-stage cost. These investments are necessary to ensure long-term delivery quality but are often treated as one-off exceptions rather than planned components of the setup budget.
Collectively, these hidden elements can add 8 to 12 percent to overall GCC ramp-up costs. Organisations that acknowledge and plan for them upfront tend to build more realistic financial models and avoid reactive cost controls later. Those that ignore them often face pressure to cut corners just as the GCC is beginning to stabilise and deliver value.
While India is often discussed as a single GCC destination, cost structures vary meaningfully by city. Talent availability, salary benchmarks, real estate pricing, attrition patterns, and ecosystem maturity differ across regions. For leaders planning a GCC in 2026, understanding these city-level dynamics is essential for accurate cost forecasting and long-term sustainability.
Bangalore remains India’s deepest and most competitive talent market. It offers unmatched access to senior engineering, product, AI, and platform talent, making it ideal for innovation-led and high-end digital GCCs. However, this depth comes at a premium. Salary benchmarks are the highest in the country, attrition in niche roles can be elevated, and office rentals in key corridors such as Outer Ring Road, Whitefield, and central business districts are among the most expensive. Bangalore GCCs typically optimise for capability and leadership density rather than cost efficiency.
Hyderabad has emerged as the most balanced GCC location for many global organisations. The city combines strong cloud, data, cybersecurity, and enterprise engineering talent with predictable salary growth and relatively lower attrition. Real estate supply is well planned, particularly in HITEC City and Financial District corridors, keeping rental inflation under control. For GCCs prioritising scale, stability, and long-term cost visibility, Hyderabad often delivers the strongest cost-to-capability ratio.
Pune offers a mature ecosystem for enterprise technology, QA, automation, and shared services. Talent costs are lower than Bangalore and comparable to Hyderabad, while attrition tends to be more manageable. Real estate in areas like Hinjewadi and Kharadi remains competitive, making Pune suitable for GCCs with mixed portfolios spanning engineering and operational functions. Pune works particularly well as a secondary hub or spoke location in hub-and-spoke models.
Chennai is frequently underestimated but provides strong value for backend engineering, platform development, embedded systems, and finance operations. Salary benchmarks are competitive, retention is generally higher, and multiple IT corridors offer cost-effective office options. Chennai GCCs benefit from a disciplined workforce and predictable operating environment, making the city attractive for long-term capability centres that prioritise stability over rapid churn-driven growth.
NCR (Gurugram and Noida) presents a more variable cost profile. Gurugram commands premium pricing for product management, analytics, and consulting-style technology roles, driven by proximity to headquarters, multinational offices, and leadership talent. Noida offers a more cost-efficient alternative within the region, especially for engineering and operations. GCCs in NCR often need careful micro-market selection to balance cost and access to the right talent mix.
From a GEO-SEO perspective, referencing these cities aligns the GCC cost narrative with how global leaders actually evaluate India: not as a single market, but as a portfolio of specialised talent hubs. Strategically, many high-performing GCCs combine locations, placing leadership and niche capabilities in Bangalore or Hyderabad while scaling larger teams in Pune or Chennai. This city-aware approach consistently delivers better cost control without compromising capability depth.
The cost of setting up a GCC in India is shaped not only by location and talent mix, but also by the operating model an organisation chooses. In 2026, companies no longer default to a single structure. Instead, they select models based on speed, risk appetite, governance maturity, and long-term ownership goals. Each model carries a distinct cost profile across setup, ramp-up, and steady-state operations.
A fully captive GCC is the most ownership-driven model. The organisation sets up its own legal entity, hires leadership and teams directly, and controls all processes, technology, and governance. This approach requires higher upfront investment, particularly in leadership hiring, compliance setup, IT infrastructure, and initial real estate. However, once the centre reaches maturity, captive GCCs typically deliver the lowest long-term cost per capability. Over a three- to five-year horizon, this model provides the strongest IP protection, cultural alignment, and compounding productivity benefits.
A hybrid captive model blends direct ownership with selective external support. Core capabilities such as engineering leadership, architecture, and product ownership are built in-house, while non-core or ramp-phase roles may be supported by partners or flexible talent models. This structure reduces early-stage cost pressure and accelerates execution without sacrificing control. In practice, many 2026-era GCCs adopt hybrid models to smooth the transition from setup to scale, keeping costs more predictable during the first 12–24 months.
The Build–Operate–Transfer (BOT) model is often chosen by organisations entering India for the first time. A partner sets up the GCC, manages operations for a defined period, and then transfers ownership to the client. BOT models reduce early execution risk and speed up market entry, but they are typically more expensive during the operate phase due to partner fees and parallel governance layers. Cost efficiency improves after transfer, provided knowledge handover and leadership continuity are well managed.
An outsourced GCC model places operations under a vendor while retaining client branding. This model has the lowest upfront cost and fastest setup time, making it suitable for short-term or non-core capability requirements. However, long-term costs can be higher due to vendor margins, limited productivity compounding, and reduced control over talent and IP. For strategic engineering or innovation work, this model often proves less cost-effective beyond the initial phase.
From a cost-planning perspective, the key insight is that upfront cost and long-term value move in opposite directions. Models with higher initial investment generally deliver lower cost volatility and stronger returns over time. In 2026, the most successful organisations align their GCC model with their maturity horizon rather than optimising only for first-year savings. This strategic alignment is what ultimately determines whether a GCC becomes a cost centre or a sustained capability engine.
Looking ahead from 2026, GCC costs in India are entering a more stable and predictable phase compared to the volatility seen during the post-pandemic years. While India will continue to offer a strong cost-to-capability advantage globally, the nature of cost movement is becoming more nuanced. Instead of broad-based inflation, increases are now concentrated in specific skill segments and leadership layers.
Talent cost trends will remain the most influential factor. Demand for AI engineers, machine learning specialists, cybersecurity experts, cloud architects, and platform engineers is expected to grow faster than supply. These roles will continue to see upward pressure on compensation, particularly at senior and principal levels. In contrast, core engineering, QA automation, DevOps, and enterprise technology roles are likely to remain relatively stable as talent pipelines deepen and hiring practices mature. Salary inflation in most GCC hubs is expected to stay moderate, especially in Hyderabad, Pune, and Chennai, where supply continues to scale.
Leadership and governance costs will rise steadily but predictably. As GCCs evolve into ownership-driven centres, organisations are investing more in experienced site heads, engineering directors, security leaders, and finance controllers. These roles are critical for scale and compliance, but they add a fixed cost layer that must be planned early. Companies that delay leadership hiring often face higher downstream costs due to attrition, rework, and governance gaps.
Real estate costs are expected to remain largely stable outside premium micro-markets. Flexible workspace strategies, hybrid work adoption, and increased supply in IT corridors are reducing sharp rental spikes. Bangalore may continue to command a premium in select zones, but Hyderabad, Pune, Chennai, and Noida are likely to offer predictable occupancy costs through 2030. Many GCCs will further reduce real estate exposure by combining smaller core offices with distributed or hybrid teams.
Technology and infrastructure costs will gradually decline as a percentage of total GCC spend. Cloud platforms, development tools, and security infrastructure are becoming more efficient, consumption-based, and automated. While absolute spend may increase as teams scale, cost per engineer is expected to decrease due to better tooling, shared platforms, and higher automation maturity.
Compliance and operational overheads are also expected to flatten. Digitisation of payroll, HR operations, audits, and reporting is reducing manual effort and external dependency. For mature GCCs, these functions become more standardised and less sensitive to headcount growth.
Overall, the 2026–2030 period favours organisations that plan GCCs as long-term capability investments rather than short-term cost plays. Companies that design phased ramp-ups, diversify city exposure, and align operating models with capability goals will see India remain one of the most economically efficient locations for global delivery. The cost advantage may no longer be headline-grabbing, but the predictability, depth, and scalability of India’s GCC ecosystem will continue to outperform most global alternatives.
By 2026, the most successful GCCs in India are not the ones with the lowest absolute costs, but the ones with the most controlled and predictable cost structures. Cost optimisation today is less about cutting spend and more about designing the right operating architecture from day one. Organisations that approach GCC setup strategically are consistently able to reduce total cost of ownership while still building high-impact, future-ready teams.
One of the most effective levers is a phased ramp-up strategy. Instead of hiring aggressively in the first six months, leading companies spread growth across a 24–36 month horizon. Early phases focus on leadership, core engineers, and foundational platforms. Scale is added only after delivery models, governance, and productivity stabilise. This approach avoids idle capacity, reduces early attrition, and prevents overinvestment before demand is proven.
Another increasingly common approach is a hybrid talent model. Many organisations blend full-time hiring with flexible talent models during the first year. This allows them to maintain delivery momentum while permanent hiring pipelines mature. Over time, flexible roles are either converted into full-time positions or phased out as internal capability strengthens. This reduces the cost impact of long notice periods, hiring delays, and early-stage uncertainty.
City portfolio design plays a major role in cost optimisation. Rather than concentrating all roles in a single premium location, companies distribute capabilities across cities based on skill density and cost profile. Leadership, architecture, and niche digital roles may sit in Bangalore or Hyderabad, while larger engineering or platform teams scale in Pune or Chennai. This hub-and-spoke approach consistently delivers lower blended cost without sacrificing access to top-tier talent.
High-performing GCCs also invest early in governance and operating discipline. Clear role definitions, decision rights, security frameworks, and delivery metrics reduce rework, compliance risk, and attrition-driven hiring costs. While governance adds some upfront expense, it significantly lowers long-term operational leakage and instability.
Real estate flexibility is another critical lever. Many 2026-era GCCs avoid large, fixed office commitments in the early stages. Instead, they combine managed workspaces, hybrid attendance models, and smaller core offices. This keeps occupancy costs aligned with actual team size and allows expansion without long-term lock-in.
Finally, technology standardisation and automation drive sustained cost efficiency. Shared development platforms, standard toolchains, automated testing, and centralised security frameworks reduce per-engineer cost over time. As productivity improves, organisations often find they can deliver more output with fewer incremental hires.
The underlying pattern is consistent: companies that optimise GCC costs successfully do not chase short-term savings. They design for scalability, stability, and productivity. When cost discipline is embedded into the operating model rather than applied as a corrective measure, India’s GCC ecosystem delivers not just savings, but durable competitive advantage.
As organisations look toward 2026 and beyond, the decision to set up a Global Capability Center in India should be approached less as a cost-arbitrage exercise and more as a long-term capability strategy. India continues to offer one of the strongest global combinations of talent depth, scalability, and operational maturity, but real value is unlocked only when GCCs are designed with intent, realism, and patience.
Leaders should begin by grounding cost expectations in capability requirements, not headline benchmarks. Talent will remain the largest cost driver, and differences across cities, skill types, and seniority levels can materially affect budgets. Planning at the role and capability level, rather than relying on averaged assumptions, leads to far more accurate forecasts and fewer surprises during ramp-up.
Choosing the right operating model is equally critical. Fully captive models deliver the greatest long-term value but require commitment and governance maturity. Hybrid and BOT structures can accelerate entry and reduce early risk, but they must be designed with a clear path to ownership and stability. Optimising only for low upfront cost often increases total cost over time.
A phased, multi-year ramp strategy consistently outperforms aggressive early scaling. GCCs that invest first in leadership, governance, and core capabilities tend to stabilize faster, experience lower attrition, and achieve higher productivity. This approach also creates flexibility to adjust scale as business priorities evolve.
City selection should be treated as a portfolio decision, not a binary choice. Combining leadership hubs with cost-efficient scale locations allows organisations to balance innovation, retention, and economics. This distributed approach also improves resilience and reduces dependency on any single talent market.
Finally, leaders should recognise that hidden costs are predictable if planned for. Leadership premiums, transition periods, productivity ramp-up, and compliance maturity are not anomalies; they are part of building a sustainable GCC. Organisations that acknowledge these early and budget accordingly avoid reactive decision-making later.
In summary, India remains the most compelling destination globally for GCCs in 2026, not because it is the cheapest, but because it offers the most reliable path to building high-impact, scalable capabilities. Companies that approach GCC setup as a strategic investment—aligning cost, capability, and governance from the start—will see returns that extend far beyond operational efficiency.