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Manufacturing

The Industrial Sales Model Wasn't Built for Data Centers

Why the old rules don’t apply and how to adapt GTM models for how the market buys

The data center market has quickly become a defining growth opportunity for today’s industrial suppliers. Total data center equipment and infrastructure spending is projected to approach $1 trillion by the end of the decade.[1] The facility infrastructure layer most relevant to industrial suppliers (e.g., power, thermal management, connectivity, and enclosures) is growing at double-digit rates, with power equipment reaching approximately $23 billion and cooling adding another $26 billion in 2025.[2]

However, many suppliers are finding that market participation and product fit aren’t enough to turn demand into revenue growth. At the core of the issue is a mismatch between how the data center market buys and how most industrial commercial models are built to sell. Drawing from Alexander Group’s research and project work in manufacturing and distribution, let’s examine what makes the data center market commercially distinct and what commercial leaders should do about it.

Market Leaders Are Already Repositioning

Leading suppliers are consistently signaling how important data centers are becoming. One leading supplier reported data centers as its biggest growth driver, accounting for 30% of orders in 2025. Another delivered record net sales exceeding $10 billion, up 28% year over year and with backlog doubling as hyperscale as well as colocation demand accelerated. A third identified data centers as a generational opportunity, with segment orders accelerating approximately 200% year over year. While the specifics differ, the pattern that keeps appearing is that leading industrial suppliers are treating data centers as a strategic growth priority.

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Why the Data Center Value Chain Requires a Different Approach

Suppliers misread the market when they simplify the customer. In practice, the data center value chain is multi-layered. Hyperscalers anchor demand and set standards; developers fund and build; enterprise tenants may retain specification authority; engineering firms and integrators shape recommendations; and distributors handle the purchase (usually after the decision has been shaped upstream).

Procurement models also vary. Under an EPC model, the contractor controls procurement and specification. In an OFCI model, the owner procures critical equipment directly while the contractor installs. Because there are multiple paths that can be taken, the same product can face completely different commercial paths depending on project structure.

Regulations are another area that adds to the complexity and impacts project timing. Grid interconnection, environmental review and permitting approvals all determine when procurement windows open. With a projected U.S. capacity shortfall exceeding 40 GW by 2028, suppliers who map coverage to these timelines build a pipeline with greater precision than those reacting to RFQs.

Though not every category will face these challenges equally (ex. heavily spec-driven categories like power and thermal management may require the most significant modifications), converting data center demand into material revenue growth often requires commercial model changes that extend beyond incremental adjustments. Four areas stand out:

1. Establish Data Centers as a Dedicated Segment

For many industrial suppliers, data center revenue flows through existing territories and channel relationships without a distinct commercial motion. But given the potential market opportunity, the elevated level of complexity and the unique concentration of demand origination, there is a strong argument for carving out data centers as a standalone segment.

Alexander Group’s segmentation work with industrial clients has shown that models designed around market structure and prospective growth potential produce better outcomes than backward-looking, revenue-based approaches. In one recent engagement, a global distributor saw a 10% margin increase year-over-year after adopting opportunity-based segmentation.

Actionable Takeaways:

  • Formalize the Data Center Segment: Without a formal segment, data center revenue gets served opportunistically through generalist coverage. This makes it difficult to track performance, allocate resources or build institutional knowledge. Develop segmentation architecture to drive focus, minimize channel conflict and enable marketing and sales motions that reflect data center market needs.
  • Leverage Opportunity-Based Targeting: Much of the addressable opportunity lives in construction pipelines, permitting queues and hyperscaler capex announcements rather than the CRM. Analyze, size and prioritize the forward project pipeline as the primary input to segment designation.

2. Align Specialized Roles and Coverage

No single role can credibly engage hyperscalers, engineers, EPCs and distributors with the same motion. Alexander Group’s Roles & Account Coverage Study found that large manufacturers are deploying more specialized coverage models, including overlays and partner development roles, to ensure proper coverage. In the context of the data center market, the level of specialization is magnified to shift commercial influence further away from where orders are placed and towards where solutions are shaped. A more effective model aligns coverage to the stakeholders who originate demand, define specifications, execute projects, and fulfill orders.

Actionable Takeaways:

  • Define Coverage Requirements and Job Roles: Deploy strategic account managers against demand originators, vertical specialists against design influencers, partner managers against build-chain partners and territory sellers against fulfillment partners. For suppliers entering or scaling, design influencers and build-chain partners are the most practical starting point. Adjust coverage to where specification decisions are made and where most industrial suppliers are under-invested.
  • Develop Role Competencies and Assess Talent: While some roles undoubtedly share a common DNA with traditional industrial sellers, a specialized skillset is often required. For example, vertical specialists covering design influencers need to engage on system-level design conversations instead of product features. Strategic account managers covering hyperscalers need multi-stakeholder selling experience and the ability to coordinate cross-functional teams across long, complex cycles. Suppliers can’t just reassign territory sellers to these roles and expect the motion to work.

3. Support Model Changes Through Sales Compensation and Enablement

Coverage and role changes aren’t enough if compensation plans and enablement programs don’t reinforce the selling motion each role is designed to execute. Alexander Group’s sales compensation research shows that 91% of companies are updating their incentive plans to better align pay with strategic priorities and drive pay-for-performance. This is especially critical for data centers, where the coverage model introduces roles with fundamentally different cycle lengths, influence dynamics and measurable outcomes.

Actionable Takeaways:

  • Design Role-Specific Compensation: Different roles in the data center coverage model have fundamentally different cycle lengths, deal structures and measurable outcomes. Perhaps the most noticeable adjustment for these new roles is the increase in pay levels. Pay levels are often elevated to target and attract the technical enterprise talent needed and to take into consideration data-center-specific competitors that may fall outside a company’s traditional peer set. For example, a vertical specialist on a 12-month specification process needs a different plan than a transactional territory seller—with pay periods, crediting and pay mix all adjusted to match each role’s cycle and influence.
  • Codify New Motions Through Playbooks: Define market and role-focused playbooks for each position in the coverage model, including target stakeholders, engagement approach by project stage, qualification criteria and handoff protocols. Playbooks reduce ramp time for new hires and provide a structured path for internal sellers transitioning into specialist roles.
  • Empower Managers to Scale the Motion: In a new segment with new roles, unfamiliar selling motions and ever-increasing complexity, first-line managers become a critical activation layer. This often requires reframing the role from legacy models built around deal support and pipeline inspection to a force multiplier, where managers are equipped to lead team development, coach against fundamentally different selling motions and drive forecast reliability across longer, more complex cycles.

4. Augment the Partner Operating Model for Ecosystem Selling

Alexander Group’s indirect channels research shows manufacturers sell through an average of 3.6 distinct partner types. In most industrial verticals, the channel program rewards sell-through volume. For data centers, that approach is insufficient. Integrators, EPCs and developers often have more influence over supplier inclusion than the distributor placing the order. Alexander Group’s 4-step ecosystem framework provides a structured approach to this redesign.

Define Rules of Engagement to Minimize Channel Conflict: Layered, multi-channel coverage creates value only if roles are coordinated. Define accountability by stakeholder type and project stage (e.g., vertical specialists lead during design. Partner managers lead during procurement and build while strategic account managers own the relationship and expansion roadmap. Handoffs should be explicit and pipeline ownership unambiguous at every stage.

Restructure Partner Program to Reward Influence, Not Just Volume: The most valuable partner activity often happens before a PO exists. For instance, this can look like an integrator recommending a product during design or an EPC including a supplier on a preferred vendor list. Partner incentives should reward specification influence and project-level coordination, rather than just units shipped.

The Leadership Agenda

While the data center opportunity is clear, commercial leaders should be wary of over-rotating at the expense of the core business today. The most effective approaches often treat data center coverage as a distinct commercial motion, rather than layering it onto an already stretched generalist sales force. This new motion should include dedicated resources, separate pipeline tracking, role-specific comp plans and its own rules of engagement,

The core business continues to operate under its existing model; the data center investment is designed to compound alongside it:

  • Near-term: Establish data centers as a dedicated segment. Assess talent gaps.
  • Medium-term: Deploy layered coverage prioritizing design influencers and build-chain partners. Redesign partner roles and economics.
  • Longer-term: The payoff compounds. Dedicated segmentation creates focus. Layered coverage creates upstream visibility. A well-designed partner ecosystem converts that visibility into specification influence and project access.

The industrial companies that capture an outsized share in data centers will treat them as a distinct market requiring a distinct commercial model with segmentation, coverage, compensation and partner strategy designed intently around how the market buys, converting headline opportunity into profitable revenue growth.

 

[1] IoT Analytics, Data Center Equipment & Infrastructure Market Report 2025–2030 (November 2025).
[2] Grand View Research, Data Center Power Market Size & Outlook and Data Center Cooling Market Size & Outlook (2025). 

Develop a Commercial Model That Matches How the Data Center Market Buys.

Work with Alexander Group’s Manufacturing & Distribution practice to redesign segmentation architecture, coverage models, sales compensation and partner programs for high-complexity, high-growth markets.

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