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Key people at SAP Research.
SAP Research develops advanced technologies, primarily focusing on artificial intelligence and machine learning, to integrate into enterprise software solutions. Its core work involves exploring next-generation algorithms and practical applications of AI, aiming to enhance business processes and provide data-driven insights. The research division also investigates other emerging technologies, designing new functionalities that aim to improve efficiency and decision-making for businesses globally.
Operating as an integral part of SAP SE, a global software corporation founded in 1972 by Dietmar Hopp, Hasso Plattner, Claus E. C. Aspe, Klaus Tschira, and Hans-Werner Hector, SAP Research is an internal division. Its inception reflects SAP's commitment to long-term innovation, continuously investigating nascent technologies. This strategic approach ensures the future relevance and competitiveness of SAP's product portfolio within the evolving landscape of enterprise technology.
The innovations from SAP Research ultimately benefit SAP's broad customer base, which comprises businesses across diverse industries seeking to optimize their operations and leverage advanced technological capabilities. The organization's vision is centered on driving the evolution of intelligent enterprises by seamlessly embedding sophisticated AI and other emerging technologies directly into business applications. This empowers companies to achieve greater efficiency, adaptability, and strategic advantage in the digital era.
Key people at SAP Research.
SAP SE (commonly known as SAP) is a German multinational software corporation and the world's largest provider of enterprise resource planning (ERP) software, founded in 1972.[1][2][5] Its mission is to help the world run better and improve people's lives by empowering businesses of all sizes to become intelligent, resilient, sustainable enterprises through cloud-based applications in ERP, CRM, supply chain management, human capital management, and emerging technologies like AI, IoT, and blockchain.[1][2][3] SAP serves over 180 countries across industries including manufacturing, financial services, energy, and public sector, with 2024 revenue of $36.98 billion and 109,973 employees.[2][5] The company drives growth via heavy R&D investment (€4.635 billion in 2024) and a global ecosystem of 25,000 partners and over 140 startup investments through SAPPHIRE Ventures.[1][3]
SAP SE originated in 1972 in Walldorf, Germany, when five former IBM engineers—Dietmar Hopp, Hasso Plattner, Claus Wellenreuther, Klaus Tschira, and Hans-Werner Hector—founded Systemanalyse und Programmentwicklung (System Analysis Program Development) to develop standardized software for business processes, starting with real-time data processing for mainframes.[1][2][5] Early traction came from its first ERP product, R/1 in 1973, followed by R/2 (1979) and R/3 (1992), which propelled global expansion.[2] Pivotal moments include going public in 1988, establishing SAP Labs worldwide from 1996 (e.g., US, India, Israel), and shifting to cloud-native solutions like SAP S/4HANA, cementing its leadership in enterprise software amid digital transformation waves.[3][4][5]
SAP rides the enterprise AI and cloud transformation trend, powering material- and workforce-intensive processes with predictive intelligence amid digitalization pressures.[3] Timing is ideal as businesses demand resilient, sustainable operations post-pandemic, with market forces like big data, IoT, and regulatory pushes for sustainability favoring SAP's scalable platforms.[1][2] It influences the ecosystem by fostering a vast partner network, startup investments, and open innovation (e.g., SAP BTP for custom apps), enabling faster adaptation and reducing digital transformation risks for global enterprises.[3][4][6]
SAP is poised to deepen AI integration across its suite, expanding predictive models for strategic foresight and market agility while scaling SAP Labs' innovations in multi-cloud and Business AI.[3][4] Trends like generative AI, sustainability mandates, and edge computing will shape its path, potentially boosting cloud subscriptions amid hybrid deployment demand.[2] Its influence may evolve toward ecosystem orchestration, amplifying startup impacts via SAPPHIRE and partners to sustain ERP dominance in a data-centric world—reinforcing its core purpose of helping businesses run better.[1][3]
