For years, the managed services playbook was simple: move the work offshore, price it per user/server, and compete on labor arbitrage. That playbook is becoming outdated. It is being replaced by a new data center landscape that is driven by entirely different imperatives.

Sustainability and data sovereignty are no longer footnotes in enterprise contracts. They are reshaping how managed services are designed, delivered, and priced. As enterprises accelerate their environmental commitments and navigate increasingly complex regulatory environments, these priorities are moving beyond compliance to become strategic factors in decision-making.

Historically, managed services pricing has been anchored in effort-based models like Full-time Equivalents (FTEs), ticket volumes, and uptime Service Level Agreements (SLAs). However, this model is evolving. Buyers are now expecting providers to deliver not only operational efficiency, but also measurable outcomes in carbon reduction, asset responsibility, and regulatory alignment. As a result, sustainability and sovereignty are emerging as distinct pricing levers in next-generation contracts.

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Key shifts reshaping managed services pricing

Sustainability becoming a contractual performance metric

Enterprises are increasingly embedding sustainability targets, typically 2-3% annual efficiency improvements, into managed services agreements. These commitments translate into measurable outcomes, such as reduced energy consumption across infrastructure environments.

This shift adds a new dimension to SLA structures, where performance is no longer measured solely by availability and responsiveness, but also by environmental impact. Providers that consistently demonstrate energy optimization are beginning to command premium pricing, while buyers are exploring gainshare or incentive-based models tied to realized savings.

Energy optimization driving transformation-led pricing

Delivering sustainability outcomes requires structural changes in how infrastructure is consumed and managed. The key levers are workload modernization through Virtual Machine- (VM) to-container migration, platform optimization, including shifts from Infrastructure as a Service (IaaS) to Platform as a Service (PaaS), and intelligent capacity management, such as automated shutdowns of idle resources.

These initiatives carry real upfront investment requirements, driving a fundamental shift in commercial models in three important ways:

• Gainshare models: providers fund modernization work and recover costs through a defined share, typically 20-50%, of the resulting savings over two to three years
• Amortized transformation: providers embed project costs into the monthly run rate, converting a capex-heavy upgrade into a predictable Opex line
• Co-investment: buyers and providers share transformation costs in exchange for a lower steady-state run rate once efficiency targets are hit

Across all models, pricing is increasingly linked to efficiency outcomes rather than static consumption baselines. Providers are also bundling modernization with run services because neither side benefits from decoupling them: the buyer wants the savings, and the provider wants credit for delivering them.

Lifecycle management expanding managed services’ scope

Sustainability is also extending into asset lifecycle accountability. Enterprises now expect providers to manage hardware reuse, refurbishment, and environmentally compliant disposal.

This shift introduces new cost elements, including certified recycling, reverse logistics, and asset recovery programs. While these may increase near-term costs, they strengthen providers’ Environmental, Social, and Governance (ESG) positioning and enable differentiated offerings.

One clear example is sustainability-linked pricing, where environmental performance directly influences cost. Strong performance against sustainability targets can reduce pricing, while underperformance can increase it.

For buyers, the implication is direct: infrastructure partners are no longer just responsible for uptime; they are accountable for how efficiently and sustainably systems operate. Sustainability shifts from a reporting obligation to being embedded within commercial terms.

Data sovereignty reshaping delivery and cost structures

Stringent data localization regulations are driving a fundamental shift in delivery models. Providers are increasingly required to establish local or nearshore capabilities to ensure compliant data processing and support.

This challenges the traditional offshore-centric model and introduces higher cost structures due to localized talent, infrastructure duplication, and enhanced security controls. Managed services pricing may increase by 10-30% in such scenarios. However, enterprises are demonstrating a willingness to absorb these costs in exchange for stronger regulatory assurance, reduced risk, and greater trust, particularly for European clients and compliance-centric sectors.

To adapt to evolving data sovereignty regulations, providers are moving toward tiered delivery models:

• In-country delivery for regulated workloads
• Nearshore delivery for sensitive but less restricted data
• Traditional offshore delivery for non-regulated environments

Each tier carries its own price point, with contracts increasingly structured at the workload level rather than the account level.

Providers are also forming partnerships with sovereign cloud platforms, including local hyperscaler joint ventures and government-accredited operators, particularly in the public sector, defense, and regulated industries. These partnerships introduce new cost elements such as certification maintenance, audit readiness, and restricted-access operations.

As data sovereignty frameworks evolve, managed service providers will need to extend focus beyond data residency to address questions about where AI models are built, hosted, and operated. Providers that engage with this early will be better positioned to meet future regulatory and client expectations.

What managed services contracts will look like by 2028

The evolving landscape suggests managed services contracts will look significantly different in the coming years. The default contract structure is likely to include carbon intensity targets, measured in grams of CO₂ per transaction or per workload, sitting alongside traditional SLAs, with financial incentives and penalties tied to both. Pricing schedules will be tiered by data residency, with separate line items for sovereign, nearshore, and offshore deliveries.

Asset lifecycle clauses will formalize circularity commitments, specifying targets for refurbishment, reuse, and certified recycling. Gainshare models will likely become the dominant approach for efficiency initiatives, with buyers and providers co-investing in outcomes.

Providers that adapt will move up the value chain, from infrastructure operators to sustainability and compliance partners. This shift enables higher margins and stronger client relationships. The providers that do not adapt will be left competing in commoditized segments, where pricing pressure intensifies with every renewal cycle.

The divide is already emerging in Request for Proposal (RFP) shortlists. By 2028, it will be structural.

Labor arbitrage built this industry. Outcome arbitrage, defined by carbon saved, compliance delivered, and assets kept in circulation, will define the next decade.

If you found this blog interesting, check out, Strategic Imperatives for Capturing the AI-Era Data Center Opportunity – Everest Group Research Portal, which delves into another topic relating to data centers.

If you have any questions, please contract Rajat Maitraya ([email protected]) and Vaibhav Jain ([email protected]).