Core Insights - The success of AI strategies heavily relies on reliable data, with 94% of technology leaders focusing more on data due to the ongoing AI trend [2] - Companies face challenges in selecting the right partners to unlock data value and drive AI projects amid rapid market changes [2] Group 1: Data Transformation Strategies - Companies can follow three actionable paths for successful data transformation: empowering critical business applications, transitioning from transactional to intelligent applications, and leveraging open ecosystems [3][5][7] - Only 34% of business leaders express high trust in their data, indicating a significant challenge in data integration and management [3] - Business data fabric can simplify data management by providing an integrated, semantically rich data layer, enabling easier access to trustworthy data [3] Group 2: SAP Business Data Cloud - SAP Business Data Cloud offers a fully managed SaaS solution that unifies and governs both SAP and third-party data, facilitating strategic data projects [4] - The "zero copy share" method of SAP Business Data Cloud reduces complexities in data environments, allowing companies to focus on transformative data initiatives [4] - SAP's intelligent applications, built on its extensive business process experience, are designed to embed smart capabilities directly into core business processes [5][6] Group 3: Importance of Open Ecosystems - Companies should choose vendors with an open ecosystem strategy to access diverse industry expertise and extend solutions across multiple cloud platforms [7] - SAP's partnership strategy exemplifies this approach, as seen in collaborations with Adobe and Moody's to enhance data insights and application capabilities [7] - The integration of data and AI is crucial for future business success, with companies viewing data as a strategic asset leading to a 28% higher AI adoption rate [8]

Group 1 - The SAP China Summit held on June 5 focused on the unprecedented challenges of uncertainty faced by enterprises in the AI era and how to find growth certainty in a complex environment [2] - Acloudear, as a platinum partner of SAP, participated in the summit, engaging with over a thousand business leaders and industry experts to explore new paths for enterprises to cope with uncertainty in the AI era [2] Group 2 - SAP launched a new strategy "AI First, Suite First" aimed at reshaping the future ecosystem of enterprise management software through a triad of "AI + Data + Applications," marking the beginning of the SaaS 2.0 era [4] - The SAP Business Suite, as the cornerstone of this strategy, emphasizes integration to eliminate system fragmentation, reducing data integration costs by 40% and laying a solid foundation for AI empowerment [4] Group 3 - The "flywheel effect" proposed by SAP is a key methodology for addressing uncertainty, where applications, data, and AI create a positive feedback loop [5] - End-to-end integrated applications cover all business scenarios, generating unified and accurate data, which drives AI model optimization and ensures the accuracy and practicality of AI insights [5] Group 4 - Acloudear showcased its unique capabilities in empowering enterprises to navigate uncertainty through public cloud practices and AI innovations [10] - The company provided valuable insights and practical tips on core concerns and challenges faced by enterprises during SAP public cloud transformation and AI implementation [10] Group 5 - Acloudear introduced its AI intelligent service system, AIOS, which utilizes AI agents and RAG technology to enhance service efficiency in enterprise-level applications [10] - AIOS is already applied in SAP operational service scenarios, providing sustainable and intelligent operational support for enterprises [10] Group 6 - SAP's integrated Business Suite and powerful commercial AI outline a clear path for enterprises towards resilient growth and a certain future [12] - Acloudear, as a close platinum partner of SAP, offers comprehensive support from strategic planning to implementation, leveraging its global practical experience and continuous innovation [12]

Investment Rating - The report indicates a positive outlook for the Aerospace and Defense (A&D) industry, highlighting the need for modernization of ERP systems to keep pace with accelerated growth and operational demands [10][11]. Core Insights - Legacy ERP systems are becoming constraints rather than enablers, leading to fragmented operations and inefficiencies [6][13]. - The A&D industry is projected to experience significant growth, with civil aviation aircraft numbers expected to double in 20 years and defense markets growing at a compound annual growth rate of 6.4% from 2025 to 2029 [10]. - Modernizing ERP is essential for reducing technical debt and achieving interoperability across various business functions [8][16]. Summary by Sections Industry Growth - The A&D industry is entering a period of accelerated growth across all segments, with substantial investments from the European Union to enhance industrial readiness [10]. - Manufacturers face increasing pressure to scale operations and adapt to changing geopolitical and supply chain realities [11]. Challenges with Legacy Systems - Many organizations operate with fragmented and aging system landscapes, leading to a lack of visibility and limited interoperability [13]. - The limitations of legacy systems are evident in production delays, rising costs, and inefficiencies [17]. Benefits of Modernization - Organizations that have begun to modernize their ERP systems report significant improvements, including up to 60% reduction in engineering change process time and up to 80% reduction in time to prepare shop orders [18][16]. - The modernization process is not merely an upgrade but a strategic shift that enhances enterprise-wide integration and data continuity [8][16]. Digital Core for A&D - Capgemini's Digital Core for Aerospace and Defense Manufacturing integrates PLM, ERP, and MOM/MES into a single architecture, enabling real-time feedback and cross-functional interoperability [20]. - Key capabilities include native integration with core processes, end-to-end visibility, and AI-augmented processes to enhance productivity [22]. Composable Architecture - The shift from monolithic ERP architectures to composable architectures allows for modular extensions and better integration of advanced technologies [24]. - Composable architectures facilitate faster innovation cycles and ensure enterprises remain agile and compliant in a rapidly evolving landscape [25].

Core Insights - SAP SE has partnered with Accenture to launch ADVANCE, a cloud transition solution for companies with annual revenues up to $5 billion, enabling rapid implementation in six to twelve months [1][2] - ADVANCE offers preconfigured, industry-specific solutions that integrate SAP Business Suite with Accenture's operational expertise, streamlining finance, procurement, supply chain, and workforce management [2][4] Product Features - ADVANCE packages reduce system complexity and operational costs by incorporating preconfigured industry processes and best practices [5] - The offering emphasizes speed and agility, providing industry-tailored accelerators for quick business outcomes and transparent pricing for efficient budget management [6] - Integration of AI agents and predictive analytics allows businesses to adapt to market changes and enhance decision-making [7] Financial Performance - SAP's cloud revenues reached €4.99 billion, a 27% year-over-year increase, with Cloud ERP Suite revenues growing 34% to €4.25 billion, accounting for 85% of total cloud revenues [9] - For the year, SAP anticipates cloud revenues between €21.6 billion and €21.9 billion, reflecting a 26-28% increase year-over-year [12] Market Outlook - SAP maintains a positive growth outlook despite global uncertainties, with expectations for cloud and software revenues between €33.1 billion and €33.6 billion, indicating an 11-13% year-over-year increase [12][11] - The company's stock has performed well, with a 54.3% increase over the past year compared to the industry's 9.6% growth [13]

Financial Data and Key Metrics Changes - Current cloud backlog increased by 29% to €18.2 billion in Q1 [5][37] - Quarterly cloud revenue grew by 26%, approaching the €5 billion mark [5][37] - Total revenue rose by 11% to €9 billion [42] - Operating profit surged by 58% to €2.5 billion, significantly exceeding the guidance for the year [41][45] - Cloud gross margin improved by 2.6 percentage points to 75% [6][40] Business Line Data and Key Metrics Changes - Cloud ERP suite revenue maintained high growth momentum with a 33% increase in Q1, accounting for 85% of total cloud revenue [37] - Software licenses decreased by only 10%, indicating resilience despite being a smaller quarter [38] - Approximately half of cloud order entries included AI use cases, reflecting strong demand for AI integration [13] Market Data and Key Metrics Changes - Strong cloud revenue performance noted in APJ and EMEA regions, with Brazil, Germany, and India showing outstanding results [40] - The Americas region also demonstrated robust performance, with notable strength in Canada and the US [40] Company Strategy and Development Direction - Company emphasizes a suite-first, AI-first approach to expand its offerings [36] - Focus on product innovation, particularly with the launch of Business Data Cloud, which aims to unify and govern business data [22][23] - Continued investment in AI and cloud solutions to enhance customer productivity and reduce implementation costs [30][31] Management's Comments on Operating Environment and Future Outlook - Management expresses confidence in the company's resilience despite high market uncertainty [9][45] - The pipeline for the year remains solid, with no significant deterioration in conversion rates observed [56] - Management acknowledges potential risks from geopolitical tensions and trade disputes but maintains a positive outlook for long-term growth [44][120] Other Important Information - The company plans to provide deeper insights into its growth strategy at the upcoming Sapphire event in May [34][47] - The transformation program concluded in 2024, positioning the company for focused investments in key areas [36] Q&A Session Summary Question: Current trading and confidence in cloud revenue guidance - Management noted strong customer engagement and resilience in supply chains, which supports confidence in cloud revenue guidance despite macro uncertainties [52][56] Question: Deceleration in cloud revenue growth - Management explained that the deceleration was influenced by the timing of cloud deals and expected a rebound in Q2 as these deals ramp up [58][62] Question: Current cloud backlog performance - Current cloud backlog performance was in line with expectations, with no significant changes in customer dynamics despite tariff uncertainties [68][71] Question: Product innovation and Business Data Cloud differentiation - Management clarified that Business Data Cloud offers a more comprehensive solution than the previous SAP Datasphere, enabling better data integration and AI capabilities [78][83] Question: Impact of tariffs on business and cloud margins - Management indicated that while tariffs could impact hardware costs, the company's multi-cloud strategy provides price security and mitigates risks [130][132]