25 Managed IT services have traditionally been defined as the outsourcing of IT operations to a third-party provider. These services typically include monitoring, maintenance, support, and infrastructure management delivered under a subscription model with defined service levels. That definition still applies, but it no longer reflects how the model is evolving. The scope of managed services has expanded into areas that are directly tied to data: how it is stored, protected, and recovered across environments. This shift is gradual but consistent. As data becomes central to operations, it also becomes central to managed services delivery. What managed IT services include today Managed services providers (MSPs) typically deliver a mix of operational and infrastructure services. These include infrastructure monitoring, cloud and hybrid environment management, endpoint administration, security operations, and technical support. Backup and disaster recovery are also commonly included, though historically treated as supporting functions rather than core services. What has changed is not the list itself, but the depth and expectations within each area. Infrastructure now spans multiple environments. Security is evaluated in terms of resilience and recovery, not just prevention. Backup is measured by how quickly and reliably data can be restored. These changes shift managed services away from general IT maintenance toward more outcome-driven delivery. The shift from IT operations to data operations A growing share of managed services activity now revolves around data workflows rather than system uptime alone. This includes how data is ingested, stored, protected, and recovered across different environments. Several forces are contributing to this shift. Data volumes continue to increase across most organizations, driven by application growth, analytics, and machine-generated data. At the same time, ransomware has changed how backup and recovery are evaluated. Organizations expect clean, reliable recovery within defined timeframes, which requires more than periodic backups. Hybrid and multi-cloud environments add another layer of complexity. Data is often distributed across platforms, making it more difficult to enforce consistent policies for retention, protection, and access. Taken together, these factors push managed services toward a model where data availability and recoverability are central service outcomes. Why infrastructure limitations are becoming more visible As managed services expand into data-centric responsibilities, limitations in underlying infrastructure become more apparent. Many environments still rely on storage systems that were designed for smaller scale or isolated deployments. These systems may require frequent capacity planning, introduce operational overhead, or lack the flexibility needed for multi-tenant service delivery. Backup architectures can also introduce friction. When recovery depends on multiple systems or manual processes, service levels become harder to guarantee. This is particularly relevant when data volumes are large or distributed across environments. Hybrid deployments can further complicate operations. Moving data between locations may introduce latency, cost, or management challenges, especially when storage platforms are not designed to operate consistently across environments. These constraints do not prevent managed services from functioning, but they can limit scalability and predictability as services grow. The role of data infrastructure in service delivery Data infrastructure underpins several of the most critical managed services offerings. Its capabilities directly affect how services are delivered and how consistently they perform. Backup-as-a-service depends on storage systems that can scale without disruption while supporting efficient recovery workflows. Disaster recovery services require reliable data replication and predictable access patterns. Long-term retention services depend on cost-efficient storage that can handle large volumes without constant reconfiguration. Security is also closely tied to the data layer. Capabilities such as immutability, isolation, and auditability are increasingly expected as part of managed service offerings, particularly in environments with strict compliance requirements. When these capabilities are built into the underlying platform, service delivery becomes more consistent. When they are not, providers often compensate with additional tools or processes, which can increase complexity. The emergence of managed data services As these patterns continue, many providers are repositioning parts of their portfolio around data-focused services. This includes offerings such as backup-as-a-service, disaster recovery services, and long-term data retention. In each case, the value delivered to customers is tied to how data is handled rather than how systems are maintained. This shift does not replace traditional managed IT services, but it changes the center of gravity. Infrastructure and operations remain part of the model, but they are increasingly organized around data outcomes. The term “managed data services” is sometimes used to describe this evolution. While terminology varies, the underlying idea is consistent: managing data effectively is becoming a primary responsibility for service providers. Architectural implications for service providers Delivering data-centric services at scale introduces a different set of architectural requirements. Service providers need platforms that can scale horizontally as data volumes grow, without requiring frequent redesign. They also need to support multi-tenant environments efficiently, ensuring that customer workloads remain isolated while sharing underlying infrastructure. Consistency across environments is another key requirement. As customers adopt hybrid and multi-cloud strategies, providers need to manage data across different locations without introducing fragmentation. Automation also becomes more important. Policy-driven data management, including retention and lifecycle controls, helps reduce operational overhead and improve consistency across services. These requirements influence how providers evaluate storage platforms and design their service offerings. Why object storage is often part of this shift Object storage has become more prominent in managed services environments because it aligns with several of these architectural needs. It supports scalable data growth without requiring traditional capacity planning cycles. It is compatible with cloud-native ecosystems, particularly those built around S3 interfaces. It also lends itself to multi-tenant designs, which are common in service provider environments. In addition, object storage platforms often include features such as immutability and policy-based management, which are relevant for backup, compliance, and cyber resilience use cases. This does not mean that all managed services rely on object storage, but it has become a common foundation for data-centric services. Implications for how managed services are evaluated As managed services evolve, the criteria used to evaluate providers are also changing. Organizations are placing more emphasis on recovery objectives, data integrity, and resilience against cyber threats. They are also looking for consistency across environments, particularly when operating in hybrid or multi-cloud models. Cost predictability remains important, but it is increasingly considered alongside scalability and operational efficiency. Providers that can deliver predictable performance at scale are better positioned to support long-term growth. These evaluation criteria reflect the broader shift toward data-centric service delivery. Where managed IT services are heading Managed IT services remain a broad category, but the direction is becoming clearer. Infrastructure management and operational support continue to play a role, but they are no longer the primary focus. The primary focus is shifting toward data. Service providers are expected to ensure that data is available, protected, and recoverable across a range of scenarios. This expectation influences how services are designed, how platforms are selected, and how value is delivered to customers. In this context, managed IT services are gradually evolving into a model where data infrastructure forms the foundation of service delivery.
