SAP SE overhauled its Customer Influence program and forged deeper partnerships with Nvidia and NetApp to speed up development of its AI-enabled SaaS platform, according to a report published October 2, 2026. The initiatives arrive just weeks before the company releases third-quarter results on October 21, when analysts will scrutinize whether the AI investments are translating into concrete contract wins. The strategic push illustrates how traditional enterprise software providers are re-engineering their cloud offerings to embed artificial intelligence at the foundation rather than layering it on afterward.
SAP will relaunch its Customer Influence program on October 6, 2026, aiming to streamline how user feedback shapes product development and deployment. The Nvidia collaboration integrates OpenShell, a security tool, directly into SAP's Business AI Platform to strengthen governance for AI workloads. The company is also evaluating NetApp's capabilities to incorporate cloud-native storage integration designed for compute-heavy AI tasks. Analyst price targets span a wide range: Jefferies set a €220 (roughly $238) Buy rating, while JPMorgan assigned a €175 (about $189) Neutral rating.
The report notes that SAP's emphasis on integration—both at the data tier through the Integration Suite and at the security tier via OpenShell—tackles two persistent challenges for major customers: fragmented data and governance risk. By co-developing these features with Nvidia, SAP gains access to cutting-edge GPU technology and signals that its AI stack rests on industry-standard hardware, a factor that can speed adoption among cautious enterprises. The Bern transit deployment offers one proof point, though the portfolio still requires broader scale. The report finds that if SAP can show its AI modules like Joule consistently shorten sales cycles and lift average contract values, the company could command higher annual recurring revenue multiples and defend premium pricing.
SAP's strategy puts competitive pressure on other legacy vendors such as Oracle and Microsoft, which are embedding AI across their own SaaS suites. The report suggests SAP's differentiator may be the breadth of its partner ecosystem—Nvidia for compute, NetApp for storage, and a refreshed customer feedback loop—to deliver a more cohesive end-to-end experience. Success, however, depends on how quickly pilot projects mature into production systems. A lag in conversion could weigh on the share price, particularly given heightened expectations following recent analyst upgrades. In a market where AI-native SaaS is becoming table stakes, the ability to orchestrate these components efficiently could define the next wave of market leaders. For SaaS operators more broadly, the move underscores the value of cultivating a partner-centric ecosystem capable of delivering complete AI workflows—companies that depend solely on point solutions risk falling behind as large enterprises demand unified platforms handling data ingestion, model governance, and secure execution in a single stack.