India alone hosts roughly 1,900 Global Capability Centres (GCCs), employing about 1.9 million professionals and generating an estimated USD 64–65 billion in annual revenue. It is a mature ecosystem. The maturity comes with a specific set of problems that the original single-hub model was never designed to handle.
When one hub is not enough
The early logic behind GCC placement was to pick a Tier-1 city with a strong talent pool, set up operations, and scale. That still works in many cities the world over, for many organisations. But the vulnerabilities are exposed in the long-term:
- A host city may face a sustained infrastructure disruption, or a new data sovereignty regulation mandates local processing in a market your GCC does not operate in, or a hiring surge across dozens of competing firms pushes compensation sharply upward within a single year.
- A company that has concentrated its entire engineering or finance function in one location has, functionally, built a single point of failure into its global operating model. The larger the GCC grows, the more consequential that exposure becomes.
The case for a distributed GCC network
A multi-site GCC strategy typically involves three or more regional centres. Each of these has a defined functional mandate, whether it is engineering, R&D, operations, or finance, spread across geographies and built for continuity, compliance, and capability, not merely cost reduction.
Three points of stress appear in building the case for distribution:
- Regulatory fragmentation: data sovereignty laws across the EU, APAC, and parts of the Americas now require that specific categories of data be processed and stored close to where customers are. A single offshore hub cannot satisfy that requirement across all markets simultaneously.
- Talent: No single region monopolises every skill. AI research is concentrated in India. Product engineering has distinct depth in cities like Warsaw and Kraków. Nearshore hubs in Latin America offer a different profile. Many of these are closer in time zones and have a strong multilingual capability for customer-facing and support operations. Depending on one market for all of this creates supply constraints that compound over time.
- Resilience: This is the one most organisations underestimate until they actually need it. Distributing workloads across an active-active architecture means a disruption in one node does not cascade into a global stoppage. Cloud-native infrastructure makes real-time workload shifting between sites operationally feasible. This accounts for the much-needed structural safeguard.
GCC placement: Common pitfalls in network expansion
There is a common and expensive mistake enterprises make when expanding their GCC network: treating every new location as interchangeable with the first. A second site that is simply a scaled copy of the primary hub adds headcount without adding distinctiveness. It competes internally for the same skills. And it gives the leadership another location to manage without a clear understanding of what value that location uniquely adds.
High-performing multi-site models define each node by its local value proposition, deliberately. One site might own cloud infrastructure and security tooling. Another builds specialised depth in financial analytics or regulatory compliance. This kind of intentional GCC placement reduces internal talent competition and creates a sense of accountability within each node. They become centres of excellence in specific domains.
The nearshore dimension
Nearshore centres have attracted serious strategic attention. Leading CIOs are now complementing large offshore hubs with nearshore locations, Portugal and Romania, specifically. These are not backup sites, but capture real collaboration advantages, including tighter time zone alignment with European and North American headquarters, stronger cultural proximity, and faster iteration on client-facing products.
That is not an argument against the offshore model. India's GCCs are projected to grow from USD 65 billion in annual revenue to over USD 100 billion by 2030, so the offshore model is not receding. But the two are not substitutes. They serve different functions. The strongest GCC networks combine offshore depth for foundational engineering and data work with nearshore agility where proximity to the business genuinely matters.
Whether nearshore or offshore is the right weight depends on the function, the market, and the regulatory context.
Governance: The part that determines everything else
A distributed GCC network without unified governance risks being fragmented. Standardised SLAs, common toolchains, and a shared source of truth for compliance are what allow regional nodes to operate with genuine autonomy without drifting from the global strategy. Without that governance layer, what looks like a multi-site GCC strategy is, in practice, a collection of offices with a shared brand name.
How can Infosys BPM help with a multi-site GCC strategy?
Getting the multi-site GCC strategy right, in terms of placement, node specialisation, and governance, converts geographic distribution from an operational complexity into a structural advantage. The global capabilities centre practice at Infosys BPM is designed to support enterprises through multi-location design, from location assessment and governance structuring to process transformation across distributed delivery models.
Frequently asked questions
A multi-site GCC strategy replaces the single-point-of-failure risk of concentrated models with a resilient, distributed network of specialized regional hubs. While single hubs focus on scale in one geography, multi-site models utilize active-active architectures to shift workloads globally. This structural evolution ensures operational continuity and addresses localized data sovereignty requirements that single-site centers cannot satisfy.
Enterprises typically leverage regional hubs to comply with fragmented data residency laws, such as GDPR in Europe or specific APAC regulations. By processing data within the host jurisdiction, organizations avoid the legal complexities of cross-border transfers. This governance approach ensures audit-ready compliance while maintaining global operational agility without compromising localized regulatory integrity or security standards.
Distributed networks achieve near-zero downtime by utilizing cloud-native infrastructures to shift mission-critical workloads between nodes during localized disruptions. Industry benchmarks indicate that moving from a single hub to an active-active architecture significantly reduces systemic risk. This diversification protects working capital and ensures sustained service delivery, directly enhancing the enterprise’s overall risk-adjusted ROI.
Nearshore hubs are essential for functions requiring high-frequency collaboration, cultural proximity, and tight time-zone alignment with headquarters. While offshore locations provide deep engineering scale, nearshore sites in regions like Portugal or Romania accelerate iteration cycles for client-facing products. This hybrid balance optimizes speed-to-market and reduces the operational friction associated with significant geographic distances.
The primary risk is operational fragmentation resulting from the absence of a unified governance framework across distributed nodes. Treating new locations as interchangeable clones leads to internal talent competition and redundant overhead. Establishing standardized SLAs and common toolchains ensures each node operates as a specialized center of excellence, preventing strategic drift and cost escalation.
