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Brb, creating an SAP Guess the Acronym card game. 😉
Brb, creating an SAP Guess the Acronym card game. 😉
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Vendor consolidation has emerged as the dominant priority for CIOs in 2025, driven by mounting pressure to reduce complexity, control costs, and maximize the full potential of AI – while creating greater mechanisms for resiliency.
Research from multiple industry sources indicates that this isn’t just an emerging trend — the emphasis on consolidation is growing at an unrelenting pace.
According to ADAPT’s CIO Edge research, a comprehensive study of more than 140 CIOs, 68 percent of technology leaders are planning to consolidate their vendor landscape.
This trend is not just about making minor adjustments to meet market demands; a majority of organizations are targeting a 20 percent reduction in vendor count, which represents a significant and fundamental shift in how enterprises approach their technology ecosystems.
The urgency for CIOs to transform their vendor landscape is palpable across all sectors and industries. A survey of more than 1,000 technology professionals revealed that 90 percent of IT professionals identified software consolidation as a priority, with 73 percent predicting their organizations will continue growing software investments while simultaneously consolidating vendors.
This paradox — expanding capabilities while reducing complexity — defines the modern CIO’s challenge.
This vendor consolidation trend contrasts with movements like the MACH alliance, which promotes a pure “best-of-breed” approach. While its underlying architectural approaches (Microservices, API-first, Cloud-native, Headless) are sound and arguably have become table stakes in the SaaS world, MACH created unexpected challenges for enterprises.
Initially lauded for its flexibility and agility, MACH ended up creating significant complexity — more than most enterprises can handle — at a time when they are looking for simplicity more than ever.
The economic reality is stark: fully MACH implementations usually require more money upfront compared to a unified solution that is pre-configured. Companies must consider not only the purchasing of multiple services, but also the cost and time required for employee training and adoption. Running MACH architecture requires people with highly specialized skills in cloud infrastructure, APIs, microservices, and tools designed to streamline development of the user-facing part of a website or web application. The job market for that talent is uber-competitive, even in the age of AI, meaning you’ll need to have the resources to pay them well or else your competitors will.
Research reveals several critical drawbacks to the fragmented fully best-of-breed approach:
As CIOs prioritize vendor consolidation, SAP’s approach to “Suite as a Service” or “best of breed as a suite” offers a pragmatic solution that addresses the fundamental challenges of fragmented architectures. Rather than forcing organizations to choose between flexibility and integration, the SAP Customer Experience (SAP CX) portfolio provides both through a unified yet composable business suite that spans front and back-office operations, in conjunction with a pre-integrated and certified rich ISV ecosystem that allows businesses to compose with intention, wherever this makes sense business-wise.
The true power of consolidated platforms lies in what SAP calls the “flywheel effect.” In this model, applications generate data, data trains AI, and AI optimizes applications. This creates a virtuous cycle where:
This integrated approach is only possible when organizations move beyond siloed point solutions to embrace unified platforms that can leverage the full spectrum of business data. Companies already invested in SAP technologies have discovered that a unified data strategy provides a proven path to the data architecture that AI requires.
Enterprise Strategy Group’s economic analysis of SAP CX solutions reveals compelling evidence for the vendor consolidation approach:
AI is driving the consolidation trend as much as the need to reduce costs. AI models demand high-quality, accurate data to be useful. When organizations maintain data silos — often the result of disconnected digital tools — AI efforts fall short of expectations or stall entirely.
SAP’s unified approach addresses this challenge directly. By providing harmonized SLAs, UX, data models, and provisioning across the stack, along with embedded AI via SAP Business AI and a unified and semantically rich data layer via SAP Business Data Cloud, organizations can fully leverage AI capabilities across domains without the complexity of integrating multiple disparate systems.
The trend toward vendor consolidation is accelerating across multiple dimensions:
The evidence is clear: 2025 marks a pivotal moment for CIOs. Organizations that embrace strategic vendor consolidation and choose unified platforms over fragmented point solutions will gain significant competitive advantages in operational efficiency, cost management, and AI readiness.
SAP CX represents the future of customer experience technology — not as a collection of disparate tools, but as a unified, intelligent platform that can adapt and evolve with business needs. As CIOs navigate the challenges of 2025, the choice between complexity and consolidation will define their success.
The question isn’t whether to consolidate; it’s whether to lead the trend or be left behind.
With 68 percent of CIOs already planning consolidation initiatives, organizations that act decisively on vendor consolidation will be best positioned to win when it comes to the future of enterprise technology.
Geert Leeman is chief revenue officer of SAP Customer Experience.
For more than a century, SLB has been a technological pioneer in the energy sector.
With current operations spanning more than 100 countries, a workforce of 80,000, and $36B in revenue in 2024, SLB is a globally recognized leader with a focus on three pillars: traditional oil and gas activities; digital, where the company aims to deliver data-driven solutions at scale for the energy industry; and its new energy division, which is diversifying its portfolio for the needs of tomorrow.
However, when it came to its supply chain, like many global enterprises, SLB faced challenges stemming from siloed planning processes.
Richard Bancel, global director of S&OP at SLB, recalled that there was a heavy reliance on Excel spreadsheets and that “a lot of these planning cycles were actually not really cycles, not orchestrated, and kind of happening on an ad hoc basis.” This lack of integration hindered scenario planning capabilities and disconnected planning efforts from executive decision-making.
Agnes Gaultier, global S&OP digitalization manager at SLB, further touched on this fragmentation, noting that among its core division the company had “13 business lines that operate almost like separate companies with their own processes, dataset, everything.”
Aside from an overreliance on Excel sheets and uncoordinated planning cycles, this fragmentation also led to inefficient resource allocation, excessive inventory, and inaccurate forecasting, with accuracy rates around 50 percent — ultimately impacting the company’s bottom line.
To address these challenges, SLB implemented SAP Integrated Business Planning (SAP IBP).
The impact of SLB’s SAP-powered planning transformation has been noteworthy, to say the least. As Bancel put it, “The big enablers to make a vision come true are the focus on end-to-end processes, change management, and, of course, the digitalization. In our case it was with SAP IBP.”
Some key achievements for SLB include:
Beyond these quantifiable results, the transformation has fostered a culture of data-driven decision-making and collaboration, empowering SLB to navigate the complexities of the energy industry with greater agility and confidence.
While impressive, SLB expects even more benefits.“We’re very proud of these results, but there’s now way more to come,” Bancel said. Wth SLB having all its data in one place, the company is starting to see even more opportunities to streamline and accelerate outcomes. “The fact that all the data is now available for AI, for forecasting, scenario planning — this is just opening a world of opportunities for us.”
Jeb Insley is head of Supply Chain Management for SAP Americas.