Enterprises are direct corporate customers of data centers: banks, healthcare systems, retailers, manufacturers, insurers, media companies, logistics providers, universities, and other organizations that need reliable computing infrastructure but do not want to build and operate every facility themselves.
Many of these companies use colocation. Instead of leasing virtual computing capacity from a public cloud, an enterprise rents secure space—often a rack, cage, or private suite—inside a shared data center. The enterprise generally owns or controls its servers and network equipment, while the colocation operator provides the building, power, cooling, physical security, connectivity, and operational environment.
Enterprise demand is no longer the only—or even the largest—force shaping data center growth. Cloud platforms, artificial intelligence, and other technology companies now account for much of the market’s largest capacity requirements. But enterprise colocation remains significant because many organizations operate a mix of public cloud, private infrastructure, and legacy systems. The important question is not whether enterprises are “in the cloud.” It is where each workload can run with the right balance of performance, cost, security, control, and resilience.
What enterprise customers buy
A colocation facility serves multiple unrelated tenants. The Federal Financial Institutions Examination Council defines it as a facility providing space, power, infrastructure, environmental controls, and telecommunications capabilities for multiple customers.
Enterprise arrangements vary by scale:
- Cabinets or racks for a smaller hardware footprint.
- Private cages that separate equipment and restrict physical access.
- Private suites for larger deployments or tighter operational control.
- Interconnection services linking enterprise equipment directly to carriers, cloud providers, partners, or other facilities.
- Disaster-recovery capacity that can support critical operations if another location fails.
This model shifts the burden of operating the physical facility to a specialist. Enterprises still manage the systems and data they place there, but they avoid developing their own utility connections, cooling plant, backup power, security perimeter, and round-the-clock facility operations.
Why cloud growth has not eliminated colocation
Cloud adoption continues to grow. The Flexera 2025 State of the Cloud Report found that more than half of surveyed enterprise and small-business workloads were running in public clouds. It also found that ongoing cloud migration and new cloud workloads continued to outpace workload repatriation.
That trend has made direct enterprise demand a smaller share of the overall data center story than it once was. But cloud growth does not mean every application moves to the same place. The same Flexera research found that organizations remain more hesitant to move sensitive data, while application dependencies and technical feasibility continue to complicate migration.
The Uptime Institute Global Data Center Survey 2025 describes hybrid IT as the governing strategy: organizations place workloads across corporate facilities, colocation sites, hosting environments, and public clouds according to individual requirements. Large organizations may continue using cloud services while retaining private systems for data sovereignty, regulation, cost, or operational reasons.
In practice, colocation often becomes the physical bridge between private infrastructure and public cloud. An enterprise can operate hardware under its control while connecting directly to cloud regions and network providers. That reduces dependence on the public internet and can improve predictable performance between environments.
Which workloads stay in enterprise-controlled environments?
Latency-sensitive operations
Some systems must process information close to users, equipment, or other applications. Trading platforms, payment systems, industrial controls, live media, gaming, and real-time analytics can be sensitive to network delay. Location and fiber routes therefore matter, not just the amount of available power.
AWS hybrid-cloud guidance notes that some applications remain in on-premises or local environments because of low-latency processing needs, local data processing, transfer costs, or regulatory requirements.
Regulated and sensitive data
Banks, insurers, healthcare organizations, and government contractors operate under strict security, privacy, resilience, and audit requirements. Public cloud platforms can support regulated workloads, but organizations may still choose private or colocated systems when they need particular controls, dedicated hardware, geographic limits, or established compliance processes.
This is not simply a preference for keeping data “off the cloud.” It is a risk decision about who controls the hardware, how systems are audited, where data resides, how vendors are governed, and how operations continue during an incident.
Legacy and tightly connected systems
Large organizations often depend on applications built over decades. These systems may connect to specialized hardware, proprietary databases, factory equipment, branch networks, or other applications that cannot be moved independently. Rebuilding them can be costly and operationally risky.
Colocation lets an enterprise leave these systems on familiar infrastructure while modernizing around them. Cloud services can be added gradually instead of forcing an all-at-once migration.
Predictable, steady workloads
Public cloud is valuable when demand changes quickly or services need to scale on demand. For large, stable workloads, however, dedicated infrastructure can sometimes offer more predictable economics. The correct choice depends on utilization, staffing, software licensing, data-transfer patterns, and the cost of managing equipment—not on a universal rule that cloud or colocation is always cheaper.
Business continuity and recovery
Enterprises also use colocation to separate primary and recovery systems. The FFIEC business-continuity guidance identifies colocation, mirrored sites, cloud recovery, hot sites, and other third-party arrangements as possible recovery strategies. It also warns that regional events and shared-provider capacity must be considered.
That means resilience depends on more than installing backup servers. Enterprises evaluate geographic separation, network diversity, power dependencies, fuel and water constraints, staffing, access during emergencies, and whether multiple supposedly separate sites depend on the same regional infrastructure.
How enterprise customers shape a data center
Enterprise-focused colocation can look different from a single-tenant hyperscale campus.
- Smaller, divided deployments: Capacity is allocated across racks, cages, and suites rather than one customer occupying the entire building.
- Dense connectivity: Carrier choice, cloud interconnections, and diverse fiber paths may be central to the facility’s value.
- Layered security: Different tenants require controlled access, monitoring, visitor procedures, and documented operational practices.
- High reliability expectations: Customers may support financial transactions, clinical systems, manufacturing, communications, and other operations where downtime has immediate consequences.
- Long operating lives: Enterprise systems may remain in place through long migration and modernization cycles.
- Mixed power densities: Conventional enterprise equipment, storage, networking, and newer high-density systems may coexist.
These characteristics affect building design, maintenance, network planning, emergency procedures, and the way a project expands over time.
What local leaders should ask
For municipalities and utilities, “Who is the customer?” is a practical review question. A developer describing enterprise colocation should be able to explain the facility’s operating model without disclosing confidential tenant information.
Local reviewers can ask:
- Is the facility intended for many enterprise tenants, a few large customers, cloud providers, or a mix?
- What portion of the planned power capacity is committed, and how will unused capacity be phased?
- Will the project emphasize carrier interconnection, disaster recovery, or proximity to a specific business market?
- How do tenant security requirements affect traffic, staffing, emergency access, and site operations?
- Will customers use conventional racks, high-density computing, or both—and how does that affect cooling and water demand?
- Which power, fiber, and backup systems are shared across tenants?
- How will the operator report actual energy, water, emissions, noise, and operational performance after opening?
Customer type does not determine whether a data center is responsible. It helps explain the facility’s likely scale, connectivity needs, operating pattern, and expansion logic. Those details should then be tested against measurable commitments for power, water, land, noise, resilience, and community impact.
The enterprise segment is changing, not disappearing
Cloud providers and AI infrastructure now lead much of the market’s largest growth. JLL’s midyear 2025 North American data center report found extremely low colocation vacancy and heavily preleased development, with demand concentrated in major markets.
Enterprise customers are part of that market, but their role is increasingly hybrid. A bank may run customer-facing applications in public cloud while keeping transaction systems, network equipment, or recovery capacity in colocation. A manufacturer may connect factory systems to cloud analytics without moving every control system off-site. A healthcare organization may combine cloud services with private systems that have demanding security, continuity, or application-dependency requirements.
The result is not a simple migration from private facilities to cloud. It is a distributed infrastructure system in which corporate facilities, colocation sites, cloud regions, and edge locations work together. Understanding that system helps communities evaluate why a facility is proposed, what infrastructure it needs, and whether its impacts are proportionate to the services it will provide.
Continue exploring
Use the Responsible Data Center Resource Center to evaluate data center water, grid, noise, community, and planning considerations. Explore the U.S. Data Center Map to compare facilities and local restrictions, or review sustainable data center case studies for evidence from operating projects.
Sources
- Uptime Institute Global Data Center Survey 2025 — hybrid IT, workload placement, capacity, and operating trends.
- Flexera 2025 State of the Cloud Report — cloud workload growth, migration, repatriation, cost, and sensitive-data considerations.
- JLL North America Data Center Report, Midyear 2025 — colocation vacancy, preleasing, development, and market demand.
- FFIEC Business Continuity Management: Data Center Recovery Alternatives — colocation definition and financial-sector recovery considerations.
- AWS Prescriptive Guidance: Hybrid Cloud Best Practices — latency, local processing, regulatory, migration, and hybrid architecture considerations.
- IBM: What Is a Data Center? — enterprise, cloud, managed, and colocation facility models.
