Why Are Enterprises Still Investing in Mainframes Despite Cloud Growth?

In the rapidly shifting landscape of enterprise IT, one might expect that cloud technologies would entirely eclipse traditional mainframe systems. However, this is far from the case. A substantial portion of businesses are not only maintaining their mainframes but are also investing more heavily in them. This article delves into the reasons behind this sustained investment in mainframes and uncovers the complexities of enterprise IT strategies amidst the continuing cloud expansion.

Enterprises globally are exhibiting a surprising trend: they are expanding their mainframe capacities even as cloud adoption grows. According to a recent report by the Information Services Group (ISG), a third of mainframe-using companies plan to upgrade their processors or storage within the next three years. Moreover, one in six enterprises is set to purchase new mainframes during this period. This growth underscores the ongoing relevance of mainframe systems in contemporary IT infrastructures.

Mainframe Expansion Amidst Cloud Adoption

The decision to expand mainframe capabilities is not arbitrary. Enterprises find that mainframes offer unparalleled reliability, performance, and security. These attributes are critical, especially for industries handling high volumes of transactions and sensitive data, such as finance, healthcare, and government. As a result, the mainframe market remains robust, with significant investments directed towards maintaining and enhancing these systems.

Rather than viewing cloud and mainframe technologies as mutually exclusive, many enterprises are adopting a hybrid model. This approach allows businesses to optimize their IT infrastructure by leveraging the strengths of both platforms. Certain workloads, particularly those requiring high scalability and flexibility, are migrated to the cloud. Meanwhile, mission-critical operations, which demand high reliability and security, continue to run on mainframes.

The hybrid model offers a strategic balance, enabling companies to modernize their IT environments without relinquishing the stability and performance of their mainframes. By selectively integrating cloud services, enterprises can enjoy the benefits of modern technology while preserving the robust capabilities of their legacy systems. This dual approach is gaining traction, indicating a sophisticated understanding of the unique advantages each platform offers.

Dominance of IBM Z Series

The IBM Z series mainframes have a commanding presence in the enterprise market. More than 90% of businesses using mainframes rely on IBM’s systems. The z16 series, in particular, has seen widespread adoption since its introduction in 2022. According to industry surveys, 59% of respondents reported using this model, highlighting its popularity and effectiveness in meeting enterprise needs.

IBM’s dominance is further reinforced by its partnership with Accenture, a leading provider of mainframe services. Together, they offer comprehensive solutions that include hardware, software, and consulting services. This collaboration has solidified IBM’s position, making it the go-to choice for enterprises looking to maintain and upgrade their mainframe systems. The strength and reliability of IBM’s offerings play a significant role in the sustained investment in mainframes.

One of the most significant trends in mainframe investment is the shift towards service-based models, notably Mainframe as a Service (MFaaS). Over 40% of surveyed enterprises have adopted MFaaS solutions in recent years. This model allows companies to access the capabilities of mainframes without the hefty capital expenditure typically associated with hardware upgrades.

The Rise of Mainframe as a Service (MFaaS)

MFaaS provides a scalable and flexible alternative, enabling businesses to modernize their mainframe operations efficiently. By leveraging as-a-service models, enterprises can adapt more swiftly to changing demands and technological advancements. This trend reflects a broader move towards IT flexibility and cost efficiency, key factors that drive the ongoing investment in mainframe technologies. Enterprises face mounting pressures to modernize their IT infrastructures, driven by emerging technologies like artificial intelligence (AI). However, these pressures often come with the challenge of managing legacy systems.

Mainframes, with their robust performance and security, remain integral to handling legacy workloads even as businesses pivot towards newer technologies. Balancing modernization with legacy management requires a nuanced approach. Companies must invest in upgrading their mainframes to support new capabilities, such as AI integration, while ensuring that existing operations continue to run smoothly. This dual investment strategy enables firms to stay competitive without sacrificing the reliability that mainframes provide.

AI Integration and Mainframe Capabilities

The integration of AI into enterprise operations is a key driver for many IT investment decisions, including those related to mainframes. Companies are increasingly exploring AI use cases, piloting projects in the cloud while planning to run large language models on-premises using mainframes. The computational power of mainframes makes them ideal for supporting intensive AI applications.

IBM, recognizing this trend, plans to release high-capacity processors for mainframe and LinuxOne customers. This move highlights the strategic importance of mainframes in supporting AI initiatives. By integrating AI capabilities, companies can leverage the strength of their mainframes to drive innovation and digital transformation, further justifying their continued investment in these systems. One of the critical factors influencing the decision to maintain and expand mainframe systems is cost optimization.

Cost Optimization and Efficiency

The IBM Z series mainframes dominate the enterprise market, with more than 90% of businesses relying on IBM’s systems. Since its release in 2022, the z16 series has become particularly popular, with 59% of industry respondents reporting its use. This underscores the model’s effectiveness in addressing enterprise needs.

IBM’s stronghold is further bolstered by its partnership with Accenture, a top provider of mainframe services. Together, they offer comprehensive solutions, including hardware, software, and consulting services. This collaboration cements IBM’s role as the preferred choice for enterprises aiming to maintain and upgrade their mainframe systems. The reliability and strength of IBM’s offerings significantly contribute to ongoing investment in mainframes.

A notable trend in mainframe investment is the shift towards service-based models, especially Mainframe as a Service (MFaaS). Over 40% of surveyed enterprises have adopted MFaaS solutions recently. This model allows companies to leverage the capabilities of mainframes without the substantial capital investment usually required for hardware upgrades.

Explore more

How to Make Money With Lead Generation in 2026

The digital landscape has transformed into a high-stakes battlefield where businesses are no longer searching for simple contact information but are instead hunting for verified, high-intent connections amidst a sea of automated noise. If a professional spent any time online a few years ago, it was impossible to escape the constant claims from influencers that lead generation represented the ultimate

Financial AI Evolution Requires New Network Infrastructure

The silent cost of a single dropped data packet in a multi-day high-frequency AI training cluster can burn through thousands of dollars in a heartbeat, yet most banks are still running on pipes built for the era of static spreadsheets. As the industry moves through 2026, the transition of artificial intelligence from experimental side-projects to the central nervous system of

Is AI Integration Outpacing Governance in Global Finance?

The financial landscape is shifting beneath the surface as sophisticated algorithms now execute complex trades and predict market fluctuations with a speed that human analysts simply cannot match. This rapid evolution has pushed 77% of financial organizations to integrate artificial intelligence into their core operations. However, a jarring discrepancy exists, as only 14% of these firms are operating under a

How Are Cobots and AI Transforming Industrial Automation?

The rhythmic, synchronized movement of robotic arms no longer occurs behind thick plexiglass or steel mesh, as the walls once defining the factory floor have begun to disappear in favor of seamless interaction. This transition represents a $16.7 billion pivot toward collaborative intelligence, where machines are no longer isolated assets but active partners. As the industry moves into a more

BNPL Growth Challenges US Merchants With Fraud and Disputes

The meteoric rise of installment-based spending has fundamentally altered the American retail landscape, yet the very convenience that drives consumer conversion is now triggering a complex crisis of fraud and operational instability for merchants. Retailers today find themselves in a precarious position where providing the most popular payment options often means opening the door to sophisticated financial threats that bypass