India's Data Centre Sovereignty Amidst AI Advancements

Q: What is data sovereignty , and why has it become a strategic priority for India in the context of AI and digital infrastructure?

Data sovereignty refers to the principle that data generated within a country should be subject to its laws, governance frameworks, and strategic control. In the age of Artificial Intelligence (AI), where data is the foundational input for algorithms, platforms, and digital services, sovereignty extends beyond mere data storage to include control over compute infrastructure, cloud platforms, and lifecycle management systems.For India, data sovereignty has become a strategic priority due to three interrelated factors. First, the rapid expansion of the data centre industry—from 1 GW to a projected 9 GW capacity with $50 billion in investments—makes digital infrastructure central to economic growth. Second, hyperscaler cloud regions operating in India are largely foreign-controlled, meaning that even if physical infrastructure is domestic, effective control over AI platforms and orchestration remains external. Third, data today underpins governance, national security, financial systems, and critical infrastructure.Thus, data sovereignty is not merely about localisation but about predominant domestic ownership, technological capability, and strategic autonomy. Without such control, policy independence may be compromised during geopolitical or technological disruptions.

Q: How can India measure and strengthen its digital sovereignty in the data centre ecosystem?

Digital sovereignty must be measurable and policy-driven. The article suggests six annual metrics to track resilience: Vendor concentration to avoid overdependence on a few foreign suppliersPlatform exit readiness to ensure switching capabilityIndigenous value contribution in hardware and softwareLifecycle and licensing controlSupply-chain and geopolitical exposureSovereign capability adoption rateThese metrics allow governments to move beyond rhetoric and set measurable targets. For example, procurement policies could incentivise domestic cloud platforms or open-source ecosystems to reduce lock-in.Strengthening sovereignty also involves nurturing domestic hardware ecosystems, encouraging indigenous semiconductor and server manufacturing, and promoting sovereign AI clouds. This approach transforms sovereignty from a defensive posture into a growth-oriented industrial strategy, positioning India as a digital partner for the Global South.

Exploring the balance between investment in data centres and the need for true technological sovereignty in India.

pocketias team

•February 16, 2026•6 mins read

Data Sovereignty Beyond Physical Ownership

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1. Context: Data Sovereignty as a Strategic Imperative

Data sovereignty has emerged as a national priority in the digital era, where economic competitiveness, governance capacity, and national security increasingly depend on control over digital infrastructure. As global leaders deliberate AI governance frameworks, the ownership and control of data centres have become central to discussions on strategic autonomy.

Data centres form the backbone of digital economies, supporting AI systems, cloud services, e-governance platforms, financial networks, and defence communication. While data localisation debates focus on where data is stored, the deeper issue concerns who controls the infrastructure, compute power, and platforms that process it.

For India, which is positioning itself as a digital public infrastructure leader and AI hub, the question extends beyond physical hosting to effective control over compute, orchestration, and lifecycle management. Without structural domestic capacity, sovereignty may remain nominal rather than operational.

"Whoever controls the data controls the future." — Klaus Schwab, World Economic Forum

In governance terms, digital infrastructure today performs the role that energy and telecom did in earlier decades. If strategic sectors rely predominantly on external control, policy autonomy and crisis response capacity may weaken.

2. Investment Surge and Capacity Expansion in India

India’s data centre industry is witnessing a rapid expansion phase, reflecting strong demand from cloud services, AI applications, fintech, and digital governance initiatives.

Planned investments: $50 billion over the next 5–7 years
Data centre capacity expansion:
- Current: ~1 gigawatt (GW)
- Projected: 9 GW

This growth signals India’s ambition to become a major digital infrastructure hub in the Global South. However, capacity expansion alone does not automatically translate into sovereign control if ownership and platform layers remain externally dominated.

Large-scale investments create economic multipliers—jobs, semiconductor demand, real estate growth, and power infrastructure upgrades. Yet, the benefits are contingent upon domestic value capture within the technology stack.

The development logic is that infrastructure scale must be complemented by domestic technological depth. Otherwise, India risks becoming a hosting destination rather than a control centre of digital value chains.

3. Orbital Data Centres: Technological Leap and Strategic Significance

Space is emerging as a new frontier for digital infrastructure. Agnikul Cosmos, in partnership with NeevCloud, plans to establish India’s first AI-driven orbital data centre in low Earth orbit.

Proof of concept mission: Before end of the year
Commercial operations target: 2027
Planned constellation: 600+ orbital edge data centres over three years

The objective is to bypass terrestrial constraints such as power consumption, cooling limitations, and network latency. This initiative reflects convergence between space technology (GS3), AI infrastructure, and sovereign compute capability.

Orbital data centres could enhance resilience against terrestrial disruptions and reduce dependence on foreign-controlled hyperscaler infrastructure. However, technological ambition must be matched by regulatory clarity and long-term viability planning.

Strategically, integrating space and AI infrastructure strengthens technological sovereignty. If ignored, India may remain dependent on global hyperscalers even as advanced infrastructure shifts to new domains like space.

4. Ownership Structure: Physical Infrastructure vs Effective Control

According to industry assessment cited in the article, India’s data centre ownership appears broadly distributed:

Domestic-controlled capacity: 40–45%
Foreign-controlled capacity: 35–40%
Joint ventures/mixed ownership: 15–20%

However, ownership alone is an incomplete proxy for sovereignty. Hyperscaler cloud regions operating in India are entirely foreign-controlled, even if physically located within Indian territory.

While physical data centres may exist domestically, effective control over:

Compute orchestration
AI platforms
Software stacks
Lifecycle management

remains largely external. When hyperscaler dominance is factored in, foreign influence over effective compute capability is likely the majority.

"On paper, this appears broadly balanced. However, ownership alone is a weak proxy for control." — Arun Malhotra, Parity Infotech Solutions

The governance distinction between physical hosting and platform control is critical. Without platform-level sovereignty, regulatory leverage and crisis autonomy may remain limited despite domestic infrastructure presence.

5. Platform Dependence and Strategic Vulnerability

The rapid growth of hyperscaler cloud infrastructure—despite limited public capacity disclosures—indicates a shift toward platform-centric digital dominance. Control over AI models, orchestration systems, and cloud architecture determines economic value capture.

Dependence on foreign vendors does not necessarily imply exclusion, but excessive concentration can create strategic lock-in and single-point failure risks.

- Key Structural Risks:

Vendor concentration and technology lock-in
Limited platform exit readiness
Dependence on foreign licensing and lifecycle management
Supply-chain and geopolitical exposure
Weak indigenous value contribution

Such vulnerabilities may surface during geopolitical tensions, sanctions, or regulatory disputes. Therefore, resilience must be measured, not assumed.

Strategic autonomy in digital infrastructure requires optionality. Without diversification and domestic capability, technological dependence can constrain policy flexibility during crises.

6. Measuring Sovereignty: Composite Metrics Approach

The article highlights the need for measurable indicators to assess digital sovereignty rather than rhetorical assertions.

- Six Suggested Annual Metrics:

Vendor concentration
Platform exit readiness
Indigenous value contribution
Lifecycle and licensing control
Supply-chain and geopolitical exposure
Sovereign capability adoption rate

Measurement enables governments to:

Set resilience targets
Align procurement with strategic goals
Encourage investors to support domestic ecosystems
Price technology risk more accurately

Without measurement, procurement may inadvertently reinforce dependency and risks may remain invisible until disruptions occur.

"What gets measured gets managed." — Peter Drucker

Institutionalising measurement transforms sovereignty from aspiration into operational policy. If ignored, digital dependence may deepen through routine procurement and market inertia.

7. Sovereignty as Economic Opportunity

The debate on sovereignty is not merely defensive. Strengthening domestic hardware ecosystems, secure compute environments, and AI infrastructure can create competitive advantages.

India can position itself as a trusted digital partner for emerging economies, particularly in the Global South. Building sovereign capability aligns with broader national objectives such as Atmanirbhar Bharat, Digital India, and strategic technological leadership (GS2 & GS3).

Rather than eliminating foreign participation, the focus is on reducing single-point reliance and creating diversified, resilient digital ecosystems.

"Technological leadership is synonymous with economic leadership." — Vladimir Putin (Valdai Discussion Club, 2017)

In a multipolar digital order, states with indigenous digital capabilities are likely to shape governance norms and standards.

If sovereignty is treated purely as protectionism, growth may suffer. However, if approached as capacity-building and resilience enhancement, it can become a catalyst for innovation and global influence.

Conclusion

India’s data centre ecosystem is expanding rapidly, yet sovereignty remains partial when assessed beyond physical infrastructure. Ownership balance can mask deeper platform-level dependence.

A composite, metric-driven approach to digital sovereignty—combined with investment in domestic compute, AI platforms, and emerging technologies like orbital data centres—can enhance resilience without undermining global integration.

In the long term, sustainable digital sovereignty will depend not on isolation, but on calibrated openness backed by robust domestic capability, ensuring that India remains both a major digital market and a strategic digital power.

Quick Q&A

Everything you need to know

Data sovereignty refers to the principle that data generated within a country should be subject to its laws, governance frameworks, and strategic control. In the age of Artificial Intelligence (AI), where data is the foundational input for algorithms, platforms, and digital services, sovereignty extends beyond mere data storage to include control over compute infrastructure, cloud platforms, and lifecycle management systems.

For India, data sovereignty has become a strategic priority due to three interrelated factors. First, the rapid expansion of the data centre industry—from 1 GW to a projected 9 GW capacity with $50 billion in investments—makes digital infrastructure central to economic growth. Second, hyperscaler cloud regions operating in India are largely foreign-controlled, meaning that even if physical infrastructure is domestic, effective control over AI platforms and orchestration remains external. Third, data today underpins governance, national security, financial systems, and critical infrastructure.

Thus, data sovereignty is not merely about localisation but about predominant domestic ownership, technological capability, and strategic autonomy. Without such control, policy independence may be compromised during geopolitical or technological disruptions.

At first glance, India’s data centre ownership appears broadly balanced, with domestic entities controlling around 40–45%, foreign players 35–40%, and joint ventures the remainder. However, ownership of physical infrastructure does not automatically translate into control over digital ecosystems.

The critical layer lies in hyperscaler cloud infrastructure—massive clusters that manage AI compute, data orchestration, and lifecycle governance. Even when these are physically located in India, they are predominantly foreign-controlled. This means that platform-level decisions, software updates, licensing structures, and AI model deployment remain under external jurisdiction. Effective compute capability, therefore, may be majority foreign-influenced despite domestic real estate or power infrastructure.

This distinction is crucial because sovereignty concerns revolve around who controls the technology stack, supply chains, and exit options, not merely who owns the land or buildings. Hence, composite metrics—rather than simplistic ownership ratios—are essential to assess genuine autonomy.

Digital sovereignty must be measurable and policy-driven. The article suggests six annual metrics to track resilience:

Vendor concentration to avoid overdependence on a few foreign suppliers
Platform exit readiness to ensure switching capability
Indigenous value contribution in hardware and software
Lifecycle and licensing control
Supply-chain and geopolitical exposure
Sovereign capability adoption rate

These metrics allow governments to move beyond rhetoric and set measurable targets. For example, procurement policies could incentivise domestic cloud platforms or open-source ecosystems to reduce lock-in.

Strengthening sovereignty also involves nurturing domestic hardware ecosystems, encouraging indigenous semiconductor and server manufacturing, and promoting sovereign AI clouds. This approach transforms sovereignty from a defensive posture into a growth-oriented industrial strategy, positioning India as a digital partner for the Global South.

The partnership between Agnikul Cosmos and NeevCloud to establish India’s first AI-driven orbital data centre in low Earth orbit represents a bold technological leap. By moving compute infrastructure into space, the project seeks to bypass terrestrial constraints such as power shortages, cooling requirements, and network latency. A constellation of over 600 orbital edge data centres is envisioned within three years.

From a sovereignty perspective, this initiative demonstrates an attempt to build end-to-end domestic capability in both space technology and AI infrastructure. It integrates India’s strengths in space innovation with emerging sovereign cloud platforms, thereby reducing dependence on foreign hyperscalers.

However, challenges remain in terms of regulatory frameworks, space governance norms, cybersecurity risks, and capital intensity. If successful, this model could place India at the frontier of AI infrastructure innovation while strengthening its strategic autonomy.

Reducing foreign dependence does not imply technological isolation. Instead, the objective is to mitigate single-point reliance and vendor lock-in. Complete autarky in digital infrastructure is neither feasible nor desirable in a globally integrated technology ecosystem. Collaboration with global firms often accelerates innovation and investment flows.

However, excessive dependence—especially in hyperscaler platforms and AI compute—can expose India to geopolitical leverage, supply-chain disruptions, or licensing restrictions. For instance, sudden export controls on advanced chips or software could impair domestic AI development. Therefore, resilience demands diversified partnerships and strong indigenous capabilities.

A balanced approach would involve strategic diversification, domestic capability-building, and calibrated global integration. By strengthening local ecosystems while maintaining open innovation networks, India can convert sovereignty into competitive advantage rather than retreat into isolationism.

Partial digital sovereignty implies that while India hosts significant physical infrastructure, effective control over compute and AI platforms may lie elsewhere. Economically, this could limit value capture within the domestic ecosystem, as higher-value services—platform management, AI lifecycle governance, and advanced analytics—remain externally controlled.

Geopolitically, digital infrastructure is increasingly intertwined with strategic competition. Control over data flows and AI capabilities shapes influence in global governance forums and trade negotiations. If India remains dependent at the platform layer, its bargaining power may weaken in technology diplomacy.

Conversely, strengthening sovereign capabilities offers an opportunity to position India as a trusted digital infrastructure partner for emerging economies. By aligning data sovereignty with industrial policy and global South cooperation, India can transform digital autonomy into both economic leverage and geopolitical influence.