What tech stack does Novartis use?

AWS is Novartis's primary cloud provider under a strategic collaboration established in December 2019. Novartis uses AWS for manufacturing analytics (IoT sensor data from 30+ production sites via AWS IoT services), supply chain visibility (real-time Insight Centers for manufacturing and distribution), clinical data management, and enterprise-wide analytics pipelines. The data platform is built on Databricks, implementing a data mesh architecture with domain-oriented data products — each domain (manufacturing, clinical, commercial) maintains its own AWS accounts across dev, QA, and production environments.

Microsoft Azure is used as a secondary cloud for hybrid workloads, particularly Microsoft 365 and Active Directory-integrated applications. SAP underpins ERP, finance, and procurement across the global enterprise: Novartis co-innovated with SAP on industry cloud solutions and completed an SAP Business Warehouse carve-out during the Sandoz separation (executed with SNP Group). SAP Concur handles global expense management. These SAP platforms are deeply entrenched across all geographies and business units and are unlikely to be displaced in the near term.

In December 2025, Novartis selected Salesforce's Agentforce Life Sciences platform for global CRM and HCP (healthcare professional) engagement — one of the most significant enterprise CRM deals in the life sciences industry that year. The planned global rollout over five years covers marketing, sales, patient services, medical affairs, market access, and other stakeholder engagement. Existing Salesforce investments include MuleSoft for Life Sciences for API integration, Salesforce Data 360 for Health & Life Sciences for unified patient and HCP data, and Agentforce Marketing for marketing automation.

For data science and clinical research, Novartis uses Python and R extensively across NIBR and the Development organization. Engineering job postings confirm Java and Scala for data engineering pipelines running on Databricks on AWS. Workday is used for HR and talent management. The Novartis AI and Data Office has invested in next-generation clinical trial platforms leveraging large language models and structured data extraction, building on the AWS ML and Databricks infrastructure.

Novartis's stack reveals both integration pathways and potential displacement opportunities for technology vendors. The AWS-Databricks data mesh is the analytics backbone — vendors offering life-science data products should architect AWS-native or Databricks-compatible integrations from day one. The Salesforce Agentforce commitment (a 5-year global rollout from December 2025) means the core commercial CRM stack is set for the medium term, but complementary point-solution gaps in patient services analytics, market access modeling, and field force optimization remain open.

SAP's deep entrenchment in ERP and finance means enterprise software vendors must have certified SAP integrations and should position as additive rather than replacement. Cold displacement of SAP at Novartis is unlikely in the near-term procurement cycle. Given Novartis's $925M Anthos and up-to-$1.1B Kate Therapeutics acquisitions, vendors in cardiovascular clinical data management, gene therapy manufacturing, radioligand therapy process control, and AI-powered clinical trial design are in active buying cycles and will find receptive budget-holders across Operations, Development, and Business Development.