As the enterprise software ecosystem continues to reckon with the aftershocks of the "SaaSpocalypse"—a period marked by macroeconomic pressures, a reevaluation of cloud expenditures, and a heightened focus on profitability—a singular truth has crystallized for Enterprise Resource Planning (ERP) customers: unlocking superior artificial intelligence capabilities is inextricably linked to landscape modernization. For organizations operating within the expansive SAP ecosystem, the pursuit of cutting-edge AI is closely tethered to migrations toward SAP S/4HANA. Consequently, tracking S/4HANA adoption trends has become a vital barometer for measuring enterprise technological maturity, strategic foresight, and operational readiness.
A comprehensive new research report published by the Americas’ SAP Users’ Group (ASUG), titled Navigating SAP S/4HANA – Progress, Opportunities, and the Path to Value, sheds significant light on this digital transformation journey. Polling 194 members, the study provides a granular examination of S/4HANA adoption dynamics, underlying infrastructural choices, project delivery benchmarks, AI integration roadmaps, and ongoing optimization efforts. By tracking these metrics year-over-year since 2023, the research offers critical insights into how migration strategies and operational hurdles are evolving as enterprises race against a looming industry deadline.
The Urgency of the SAP ECC Sunset and Current Adoption Realities
For years, the looming expiration date for mainstream maintenance of SAP ERP Central Component (ECC)—scheduled for the end of next year—has served as the primary catalyst for enterprise migration initiatives. As this critical deadline draws near, organizations have systematically accelerated their preparation phases. However, despite the long-standing warnings from SAP and industry analysts, the ASUG data reveals that a substantial majority of the user base remains relatively inexperienced with the new platform: approximately 62% of respondents are newcomers who have spent less than three years operating on S/4HANA.
Overall, the ASUG research indicates that 68% of its surveyed members are either currently live on SAP S/4HANA or actively engaged in the migration process from legacy SAP ECC environments. This statistic underscores a massive, industry-wide migration wave that has steadily gained momentum over the past several years.
Geoff Scott, CEO and Chief Community Champion at ASUG, observed a notable qualitative shift in how organizations approach the platform. "The conversation has shifted from simply getting to S/4HANA toward getting value from S/4HANA," Scott explained. "We still have organizations in planning and migration phases, but many members are now focused on optimization, adoption, governance, and what comes after go-live."
Project Delivery Timelines, Financial Predictability, and Common Bottlenecks
As the ecosystem of implementation partners, systems integrators, and internal IT teams matures, project execution has demonstrated measurable improvements. According to the ASUG report, anticipated go-lives are increasingly running on schedule, with 61% of respondents projecting timely completion in 2026, up from 56% in the 2025 reporting cycle. On average, a standard S/4HANA go-live spans approximately 1.4 years, while organizations typically achieve a return on investment (ROI) in just under seven months following deployment.
Nevertheless, digital transformations of this magnitude are rarely frictionless. Approximately 36% of surveyed organizations experienced project delays. When asked to identify the root causes of these setbacks, respondents pointed to a multifaceted array of challenges rather than a single point of failure. Business changes emerged as the leading culprit, cited by 55% of delayed organizations, followed closely by implementations proving to be significantly more complex or time-consuming than initially anticipated (45%), and scope creep (42%). Furthermore, rigorous testing procedures (37%) and persistent data management issues (34%) contributed notably to timeline slippage.
Financial predictability, however, is showing signs of improvement. Among newcomers to the platform, 42% reported that their migration costs aligned closely with initial budgetary forecasts—a figure higher than the 35% reported across the broader respondent pool. Only 3% of organizations indicated that their projects finished under budget, reinforcing the reality that S/4HANA migrations remain capital-intensive endeavors.
Scott emphasized that the collective wisdom of the community is lowering the barrier to entry for late adopters. "Organizations have learned a great deal from the experiences of those who went before them," Scott noted. "The pathways to S/4 are more mature, reliable, and therefore repeatable. This is great news for those that still need to start their transformation. This path is likely less risky given so many others have already walked it."
An analysis of budget allocation reveals where financial resources are primarily deployed during a migration. Engaging external consulting partners and systems integrators represents the single largest expenditure, accounting for 37% of the total migration budget. Software licensing follows at 28%, with infrastructure hosting (20%) and the foundational work required to build the business case (15%) making up the remainder.
Strategic Choices: Deployment Models, Migration Methodologies, and Hyperscaler Ecosystems
Enterprise strategies regarding deployment and migration methodologies vary widely based on organizational scale, risk tolerance, and existing IT infrastructure. When examining subscription and deployment models, RISE with SAP private edition has emerged as the most popular framework, capturing 42% of respondents, while the public edition accounts for 9%. An additional 9% of respondents are leveraging GROW with SAP, a solution tailored specifically for midmarket companies seeking rapid cloud adoption.
In terms of underlying infrastructure, traditional private clouds remain the most common choice at 37%, closely followed by managed private clouds at 33%. Conversely, hybrid environments appear to be experiencing a modest contraction, dropping to 13% of respondents compared to 18% in the 2025 study, as organizations increasingly consolidate their workloads into unified cloud architectures.
Data migration methodologies also present a strategic fork in the road for enterprise architects. Nearly half of the respondents (47%) opted for a "brownfield" approach, which involves converting existing ECC systems directly to S/4HANA. This method typically requires less time, averaging 15.8 months to complete. Meanwhile, "greenfield" implementations—in which organizations build an entirely new instance from the ground up—were chosen by 30% of respondents. Unsurprisingly, greenfield projects demand the longest execution timelines, averaging 20.2 months.
To support these complex cloud infrastructures, enterprises heavily rely on major hyperscalers. Microsoft Azure captured 50% of respondents as a supporting cloud platform, while Amazon Web Services (AWS) secured 46% of the enterprise footprint, marking an impressive 11% year-over-year increase in its market share within the ASUG membership base. Notably, many enterprises are adopting multi-cloud strategies; 43% of respondents reported utilizing a mix of hyperscaler support to optimize performance, redundancy, and geographic reach.
Once established on the S/4HANA foundation, organizations immediately begin integrating supplementary cloud solutions. The most prevalent integrations include SAP Business Technology Platform (BTP), utilized by 71% of respondents; SAP Concur for expense management, cited by 54%; and SAP Analytics Cloud, implemented by 48% of organizations.
The Artificial Intelligence Imperative: Ambition Versus Execution
Perhaps the most forward-looking aspect of the ASUG research centers on the intersection of modern ERP infrastructure and enterprise artificial intelligence. With clean, centralized data serving as a mandatory prerequisite for advanced machine learning and generative AI models, post-go-live priorities are shifting rapidly toward intelligent automation.
The data reveals a strong appetite for AI guidance: more than a third of respondents (36%) stated that, following their go-live, they are actively seeking support regarding the deployment of SAP Business AI, Joule (SAP’s generative AI copilot), and other native capabilities embedded within S/4HANA. Furthermore, 31% expressed a desire for strategic consulting on which specific S/4HANA capabilities they should prioritize next.
Altogether, nearly half of the surveyed enterprises (48%) indicated that artificial intelligence is actively shaping their broader S/4HANA strategies. For 22% of respondents, AI has become a major foundational factor embedded directly within their initial business case and technological roadmap.
However, the data also highlights a palpable disconnect between AI enthusiasm and operational readiness. Nearly a third of organizations (31%) admitted to discussing SAP AI initiatives without possessing any cohesive, meaningful strategy behind those conversations.
This strategic ambiguity is reflected in self-reported organizational readiness. While 46% of members feel very or somewhat prepared to leverage AI within S/4HANA, 20% are still in the preliminary phases of assessing their internal requirements. Alarmingly, 23% candidly reported that they feel either somewhat or entirely unprepared to integrate AI into their newly modernized ERP environments.
Blake Baltazar, Associate Director of Research at ASUG, offered a candid assessment of this phenomenon, pointing to the intense market pressures surrounding emerging technologies. "I think for a lot of people, when the topic of AI comes up, no one wants to seem like they’re being left behind or that they’re not optimizing and leveraging," Baltazar remarked. "The ambitions are really far ahead of the execution and the ability to measure value at the end."
Implications for the Broader Enterprise Technology Market
The findings from the latest ASUG research underscore a critical transitional phase for the global enterprise software market. As organizations navigate the final stretch toward the SAP ECC end-of-maintenance deadline, the mechanics of digital transformation are proving more standardized and predictable than in previous years. The maturation of migration pathways, coupled with established frameworks like RISE with SAP, has lowered systemic risks and streamlined project delivery timelines for late-stage adopters.
At the same time, the transition to S/4HANA is no longer viewed merely as an obligatory IT upgrade to avoid out-of-support software penalties. Instead, it is increasingly recognized as the indispensable digital foundation required to unlock enterprise-grade artificial intelligence. As businesses grapple with the complexities of implementing tools like SAP Business AI and Joule, the ability to bridge the gap between ambitious executive vision and rigorous execution will ultimately define which organizations successfully extract long-term value from their multi-million-dollar modernization investments.
For enterprises yet to embark on their S/4HANA journey, the path has been thoroughly paved by the experiences of early and mid-wave adopters. Yet, as the ASUG data makes abundantly clear, crossing the migration finish line is only the first step; the true test for modern businesses lies in disciplined optimization, robust data governance, and the strategic deployment of next-generation technologies.
