Processes, Software, and Catena X: How Automakers Should Prepare for CBAM

Time is running out for Europe’s automakers to prepare for the new carbon emissions rule. The EU automotive industry, which is responsible for 6% of total EU employment and 7% of EU gross domestic product (GDP), will be heavily impacted by the EU’s Carbon Border Adjustment Mechanism (CBAM).

The new regulation will require companies to account for carbon emissions on select imported products. For the auto industry, the steel and aluminum categories are especially critical.

Complete automobiles are not currently covered by CBAM, but the automotive sector is among the most exposed because of its dependence on emissions-intensive materials. Components such as body panels, chassis, frames, and battery enclosures rely heavily on imported steel and aluminum.

CBAM is currently in its transition phase and will enter the definitive phase on January 1, 2026, meaning that companies need to track their imported emissions on covered products throughout 2026 and begin purchasing certificates for those imported, tracked emissions in February 2027, with the first report due August 2027.

CBAM costs will add up quickly

The modern passenger vehicle contains around 1 tonne of steel and 200 kilograms of aluminum. Global averages hover around 1.9 tonnes of CO2 emitted per tonne of manufactured steel, and each tonne of primary aluminum produces around 15 tonnes of CO2.

With analysts projecting carbon ETS prices could reach €150 per tonne of CO₂ by 2030, a newly manufactured vehicle could soon be subject to €300 in CBAM certificate costs, assuming manufacturers import 20% of the necessary steel and 54% of the required aluminum, consistent with EU import data. Given that Germany produced 4 million cars in 2024, German automakers and component manufacturers could be on the hook for about €1.2 billion in CBAM certificate purchases in 2027.*

Looking past 2027, the European Commission plans to add categories like chemicals and plastics to the regulation, bringing more auto parts under the CBAM umbrella and making it even more important for European automakers and component manufacturers to solidify their CBAM strategies today.

Build a more compliant, sustainable, and resilient business with SAP Sustainability

CBAM preparations for automakers and component manufacturers

Across the EU automotive industry, companies seem insufficiently prepared for the new phase of CBAM.

This is not completely due to inaction by companies—EU regulators have not yet finalized details of the emissions value calculations methodology or how to verify data. That said, regulators already clarified the scope of companies that must report and the timelines to purchase certificates.

With this information, it’s now crunch time for European automakers and component manufacturers to get ready for the rules taking effect in January 2026. Here’s what they should prioritize.

1. Get familiar with CBAM and evaluate your process

The core elements of CBAM have been defined and companies must act now. If you haven’t done so yet, start by understanding the overall process and requirements.

If you are in scope—meaning you meet the de minimis threshold of either importing more than 50 tonnes of CBAM affected goods per year or 100 tonnes of embedded CO₂ annually—determine which parts of your supply chain are most affected. Identify your top suppliers and imported goods, develop a focused approach for obtaining actual emissions data from those suppliers, and assess the potential financial impact. As more materials come under the scope of CBAM, and as the carbon ETS prices rise, the financial impact will increase in the years ahead. Companies must prepare to meet these new obligations and manage this financial impact.

2. Collaborate with your suppliers

Identify and focus on your most critical suppliers—typically the top 50 to 100—and build a targeted engagement plan while defining an informed approach for the broader supplier base. Consider updating procurement terms to require future data sharing and provide support to suppliers in educating and calculating emissions where needed. Close collaboration will be essential to obtain actual emissions data to avoid the more expensive default values and identify decarbonization potentials. 

Accessing trusted supplier data is one of the biggest challenges facing companies today.

While the EU provides mechanisms for data exchange between suppliers and importers, Catena-X, an industry network for the European automotive sector, in combination with third-party data exchange software, offers an alternative to collecting trusted, standardized emissions data. Catena-X enables companies to collaborate and share data in a trusted environment. It brings together manufacturers, technology providers, and suppliers to standardize data sharing processes across the value chain. Beyond data exchange, these networks foster knowledge sharing, allowing members to learn best practices, align on standards, and accelerate compliance readiness collectively.

To participate, companies typically register with the network, adopt certified software that supports standardized data exchange, and begin collaborating with other members. This approach ensures interoperability and automates trusted emissions data collection. Catena-X is actively refining its scope and standards to support CBAM.

3. Find the right technology for your business

Most importantly, you want to find the right technology partner that will streamline CBAM reporting and support the integration of carbon into core financial accounting processes.

The EU CBAM report requires a lot of data, all of which can be requested, filled, and reported automatically using actual emissions values with tailored, ERP-based systems. The SAP Green Token solution can support CBAM declarant reporting by enabling standardized, auditable reporting workflows. The SAP Green Ledger solution will manage the certificate repository and help ensure financial and carbon accounting of CBAM emissions and certificates in alignment with accounting standards like US GAAP and IFRS (planned for H1 2026).

Manual processes, like e-mails and Excel files, are prone to error, do not scale, and will make CBAM compliance time-consuming and resource intensive.

Prepare your systems for CBAM compliance

CBAM is set to reshape material sourcing in the automotive industry by introducing carbon as a cost factor and driving transparency across global supply chains.

The ideal scenario for automakers and component manufacturers is to take decisive actions to decarbonize—such as sourcing low-emissions steel and aluminum, increasing circularity efforts, and optimizing product design to use less CBAM materials—while fully automating CBAM compliance.

Access to accurate data on supply chain emissions—and their financial implications—provides the insights that business leaders need to decarbonize and reduce risk in the years ahead.

The right combination of software tools and industry network collaboration can enable cost-optimized and automated CBAM compliance and deliver valuable supply chain intelligence. SAP Sustainability solutions can deliver measurable ROI by automating data collection and workflows and enabling finance teams to move beyond manual processes toward strategic analysis and action. This helps create a scalable foundation for ongoing carbon cost management while supporting standardized data exchange and collaboration across the value chain.

Start preparing now to ensure your business thrives as the 2026 CBAM definitive phase approaches.

Read the CBAM playbook and watch the CBAM webinar to learn more.


Thomas Janzen is an industry expert at SAP SE.

*This is a back of the napkin calculation to illustrate the potential impact. This is based on data that shows the EU imported 27.4 million tonnes of finished steel products in 2024. The EU consumed about 129 million tonnes. Therefore, we assume  imports account for roughly 20% of EU steel use. In 2023, 54% of the aluminum used in the EU came from imports. Using these averages means about 2 tonnes of imported CO2 per vehicle, or €300, assigning 20% of 1 tonne of steel emissions and 53% of 200kg of aluminum emissions.

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SAP Named a Leader in the IDC MarketScape for AI-Enabled Field Service Management Applications 2025

SAP has been named a Leader for the second time in the IDC MarketScape: Worldwide AI-Enabled Field Service Management Applications 2025 Vendor Assessment.*

Achieve efficient and sustainable field service operations with AI-assisted insights, advanced scheduling, and optimized workforce management

The IDC MarketScape vendor analysis model is designed to provide an overview of the competitive fitness of technology and suppliers in a given market. The research methodology utilizes a rigorous scoring methodology based on both qualitative and quantitative criteria that results in a single graphical illustration of each supplier’s position within a given market. The Capabilities score measures supplier product, go-to-market and business execution in the short-term. The Strategy score measures alignment of supplier strategies with customer requirements in a three to five year timeframe. Supplier market share is represented by the size of the icons.

According to the IDC MarketScape, “AI-enabled tools are revolutionizing field service management, transforming reactive operations into predictive excellence.”

Graphic: IDC MarketScape Worldwide AI-Enabled Field Service Management Applications 2025

SAP was recognized for the following strengths:

  • End-to-end field service management offering as part of the full enterprise suite: SAP Field Service Management is a fully integrated component of the SAP Business Suite, enabling end-to-end business process execution across planning, logistics, operations, finance, and customer service. It connects seamlessly with core SAP solutions such as SAP S/4HANA, customer experience, asset management, and supply chain management, ensuring that service delivery is fully aligned with enterprise-wide processes. This deep integration eliminates silos, enables real-time collaboration across departments, and supports consistent, efficient service execution across the entire value chain.
  • AI innovations and generative AI capabilities: SAP Field Service Management is infused with AI and generative AI to simplify and accelerate service delivery. SAP is able to support generative summaries of equipment history, work orders, and past service activities. SAP has established an embedded AI copilot for field service that enables users to execute commands, automate actions, and retrieve context-aware insights using conversational language with the benefit of boosting productivity and responsiveness across the service life cycle. SAP also has a robust auto-scheduling engine designed for complex, high-volume service operations.

Commitment to continuous innovation

Field service organizations face growing complexity, workforce shortages, and rising customer expectations that demand smarter, faster, and more connected service delivery. SAP continues to lead the market by integrating AI-driven insights, intelligent automation, and end-to-end connectivity across its portfolio.

SAP remains focused on enabling customers to:

  • Boost technician and dispatcher productivity
  • Drive customer-centric and revenue enabling operations
  • Reduce operational costs and accelerate complex workflows via intelligent automation and AI
  • Provide a connected and extensible platform for field service

SAP is proud to be recognized by the IDC MarketScape as a Leader in AI-enabled field service management. We remain committed to helping our customers run their service operations smarter, safer, and faster — combining data, applications, and AI to deliver measurable business outcomes and exceptional customer experiences.

For the 11th Time in a Row, SAP Named a Leader in Gartner® Magic Quadrant™ for Digital Commerce

Gartner has named SAP a Leader in the Gartner® 2025 Magic Quadrant™ for Digital Commerce. Now named for the 11th time in a row, SAP remains the only vendor to be consistently positioned as a Leader since 2014.

SAP Commerce Cloud: Deliver AI-enhanced unified commerce experiences that drive profitable growth

The SAP Commerce Cloud solution helps businesses worldwide stay ahead of changing customer expectations with a powerful, future-ready platform that delivers unified commerce through connected data, intelligence, and AI innovation.

Organizations across industries use SAP Commerce Cloud to unlock sustainable growth through personalized commerce at scale.

SAP Commerce Cloud is embedding AI innovations into the tools that employees and customers rely on every day. With AI built into key moments in commerce, the solution and its AI agents help create real business outcomes through faster response times and streamlined touchpoints. Agents like the Shopping Agent and Catalog Optimization Agent bring the vision for a connected, intelligent business suite where applications, data, and AI work together in a continuous, virtuous cycle to anticipate needs, act in real time, and elevate experiences.

Another new innovation also helps support profitable growth: SAP recently launched the SAP B2B Self-Service Portal. Natively integrated with the SAP ERP application, it makes ordering, invoicing, and promotions more intuitive while giving business buyers a positive digital experience.

ARAUCO, a global leader in wood products and furniture, relies on SAP Commerce Cloud as an integral part of managing a complex supply chain. The Chilean forestry company connects customers with on-demand insight into their orders through a self-service portal.

“SAP Commerce Cloud provided us with the tools to create a portal that has exceeded our customers’ expectations again and again,” said Diego Tuleski, director of IT at ARAUCO North America Inc.

Other global leaders are realizing measurable impact as well. Cintas uses SAP Commerce Cloud to streamline complex service orders and improve customer account management. For Nokia, SAP Commerce Cloud helps digitalize and manage complex order processes, making them intuitive experiences through integration with existing ERP applications. Universal Destinations & Experiences delivers favorable guest experiences across theme parks, hotels, and retail with SAP Commerce Cloud, enabling millions of transactions on a single commerce platform integrated with SAP Cloud ERP solutions.

To learn more about SAP’s position as a Leader and see an in-depth analysis of the digital commerce landscape, read the 2025 Gartner Magic Quadrant for Digital Commerce.


Kollen Glynn is global head of SAP Commerce Cloud, SAP Customer Experience.

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Gartner, Magic Quadrant for Digital Commerce, Aditya Vasudevan, Ant Duffin, Mike Lowndes, Sandy Shen, Jason Daigler, Penny Gillespie, 3 November, 2025.
Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally, and MAGIC QUADRANT is a registered trademark of Gartner, Inc. and/or its affiliates and are used herein with permission. All rights reserved.

SAP was recognized as SAP Hybris in 2014, 2016 and 2017.

SAP TechEd Berlin 2025

SAP Enables Developers to Drive the Agentic AI Revolution

SAP executives speaking at the SAP TechEd event in Berlin this week told their audience of developers, system architects, and technologists that they have a central and vital role in the “agentic AI revolution.”

Advancements in AI agents, data, and platform capabilities equip developers with the tools to drive business transformation

We’re entering a new era, according to SAP Executive Board Member Muhammad Alam, in charge of SAP Product & Engineering: “the era of agentic AI, where AI moves from being just a tool to becoming your trusted teammate.”

Joined on stage by SAP CTO Philipp Herzig and Michael Ameling, president of SAP Business Technology Platform, Alam set the stage during the kick-off keynote, saying: “As developers, you are not on the sidelines of this AI revolution. You are the revolution. And we are here to supercharge you for what’s next.”

Supercharging developers

Together they dismissed suggestions that AI will replace developers. “The truth is that developers aren’t going away,” Alam said. “They are getting supercharged. They’re becoming the architects of smart connected businesses. So, the real question isn’t if we need developers; it’s how fast can we empower them to thrive and lead in this AI-native era?”

Ameling, Alam, and Herzig outlined SAP’s vision and highlighted the integration of AI, data, and intelligent agents to transform business processes and drive innovation. They also emphasized the importance of a unified data fabric and the deployment of advanced AI models and agentic technologies within the SAP ecosystem.

In this new business environment, they noted that every enterprise is becoming a data company and every user experience—from the front line to the boardroom—is becoming AI-driven.

“As developers, you don’t just code anymore,” Alam said. “You also design intelligent workflows and supervise AI agents to shape real business outcomes.” To help developers do this, SAP’s strategy centers on empowering them with applications, connecting them with data, and supercharging them with AI.

SAP BTP is the foundation for AI agents

All this runs on SAP Business Technology Platform (SAP BTP), which serves as the foundation for building and managing AI agents—both SAP built and custom developed. While SAP BTP is the engine, the Business Transformation Management portfolio is the navigator, ensuring technology translates into real business impact. It aligns strategy, process, and people, turning AI-driven potential into sustainable transformation at scale.

Alam identified three broad themes during the keynote:

First, he said SAP is continuing to make SAP more open. As part of that, he announced SAP Snowflake, which brings the full data and AI capabilities of Snowflake as a solution extension to SAP Business Data Cloud (SAP BDC). This partnership is exactly what joint customers have been asking for, Alam shared.

Second, he said SAP will provide developers with the most context-rich agentic platform, including the most deeply grounded set of ready-to-use agents that developers can customize to their needs. “Today, you’ll hear about creating custom Joule Agents using low-code and pro-code tools with agent builder in Joule Studio as part of SAP Build” Alam said.

“We’re also standardizing AI agent interoperability with the agent-to-agent protocol, allowing your agents to collaborate securely across ecosystems,” he added.

Third, he announced SAP’s first foundation model built specifically for structured business data: SAP RPT-1, pronounced “SAP Rapid One.” “Our relational pretrained transformer delivers enterprise-grade accuracy and scale, outperforming both LLMs and AutoML for tabular AI, which is critical for building reliable high-value agents,” Alam said.

“In short, we’re embracing an open ecosystem, supercharging agents with deep process and data context, and giving you the tools to amplify AI and agents,” he said. As the keynote continued, Ameling and Herzig detailed these and other innovations, explaining how they will help developers work smarter and achieve more.

Michael Ameling on SAP TechEd keynote stage (www.ivl-visuals.de)
Michael Ameling
Philipp Herzig on the SAP TechEd keynote stage
Philipp Herzig

SAP BDC and Snowflake

Ameling expanded on the new partnership with Snowflake, which will bring Snowflake’s fully managed data and AI capabilities to SAP customers. Together with the introduction of SAP BDC Connect for Snowflake, he said this will result in cost savings and simplified data landscapes. “This enables you to integrate SAP and non-SAP data products seamlessly between SAP BDC and Snowflake, so that you can deploy intelligent applications faster and share across your preferred data marketplace.”

Ameling also positioned SAP HANA Cloud as “the database AI was looking for.” With SAP HANA Cloud and SAP BDC, SAP provides the best business data fabric to help address these challenges, he said. “Without SAP HANA Cloud, you would have one database for each and every data representation, which leads to disaggregated data siloes that limit your AI potential. With SAP HANA Cloud, we have all these powerful engines in one integrated, multi-model database.”

Building on this, Herzig emphasized that every business requires a strong data foundation because “AI is nothing without well-organized data…On top of the data foundation sits our AI Foundation that allows you to not only use the latest frontier AI technologies out there in the market, but also to extend SAP’s out-of-the-box AI capabilities and build your own experiences deeply contextualized in your business processes and data.”

SAP pioneers a tabular foundation model

Herzig then explained that SAP RPT-1 was designed to address a crucial problem for developers and enable them to deliver much better predictive capabilities, enterprise-grade accuracy, and scale to business customers.

Until now, Herzig said, “We still had to go back to good old machine learning …to train what we call ‘narrow’ AI models that are specifically made for each [business] task. Therefore, you really had to train a hell of a lot of models.” For example, to solve 10 predictive tasks across 10 different entities like company codes or plants would require training 100 different models.

“What we really want to do is get rid of all these models and just introduce one giant model that only requires a small amount of data to learn from,” he said. That’s what SAP RPT-1 is. “We believe SAP RPT-1 is the most capable predictive foundation model that’s out there today,” he said, delivering much higher prediction quality while being very fast and super-efficient in terms of resource requirements.

Joule, Joule Agents, and AI assistants

The SAP CTO also emphasized that the company is committed to providing developers with the most context-rich agentic platform. He noted that SAP has already shipped 20 Joule Agents across lines of business and will have approximately 40 by the end of the year, and that these agents can leverage more than 2,100 pre-delivered Joule skills. In addition, more than 300 embedded AI scenarios across product lines are available for customers to date, including Joule Agents, growing to 400 use cases in total by the end of the year.

Ameling added: “Our promise is simple: build with intent. You describe the outcome and SAP Build uses AI agents to generate code, logic, and UIs for you, all with seamless access to your applications and data while you stay in the flow… [SAP] Joule for Developers enables vibe coding experiences to make intent-based development simple and intuitive.”

SAP is taking it one step further by providing extensions to work with VS code, Windsurf, Cursor, OpenAI Codex, Claude Code, Cline, and more directly in SAP Build. “You choose a tool, and we meet you where you are,” Ameling said. He also announced that fine-tuned ABAP LLMs with ABAP 1 on AI Foundation will be published in Q4 this year.

SAP is redefining how developers interact with AI through innovations in Joule and agentic AI, but also in terms of physical AI. Herzig welcomed Torsten G. Mueller, Group CIO and COO BPS at Sartorius, to discuss how the partnership between Sartorius, NEURA Robotics, and SAP is bringing to life robots that understand the what, when, and how based on live business context. “This is how we’re really imagining the future, right? Humans and robots working in harmony through Joule, through AI,” Herzig said.

Quantum computing

Looking to the future, Herzig ended the keynote by talking about another “compute paradigm that is still hard to seize”: quantum computing. While he made it clear that SAP is not building a quantum computer, SAP is teaming up with quantum hardware leaders, like IBM—whose Director of Research and IBM Fellow Jay Gambetta joined via video—to help evaluate quantum computing for business processes and applications.

“We believe quantum will join classical and AI compute in your stack, and we’re embedding it into the processes and apps you’re already using, so it just shows up in the workflows of your enterprise,” Herzig said. “And of course, with the cloud, we scale it all. Now, SAP has got you covered, and you’ve got your business covered.”

SAP TechEd: Read news, stories, and coverage from the event

New Agentic Capabilities on SAP BTP Supercharge Developers for What’s Next

This week at SAP TechEd Berlin, we released new innovations that deliver on our promise to make SAP more open and empower developers to move faster and smarter with the tools, languages, and frameworks of their choice.

Advancements in AI agents, data, and platform capabilities equip developers with the tools to drive business transformation

Build custom agents on the most context-rich agentic platform

I’m excited to share the ability to build custom agents in Joule Studio will be generally available in December. New capabilities include AI-assisted agent design, system-triggered agents, extensibility of SAP-delivered Joule Agents, centralized enterprise-grade agent monitoring, support for Agent-to-Agent (A2A) protocol, and support for Model Context Protocol (MCP). Read our in-depth announcement blog and watch the demo to learn more.

“Joule Studio’s agent builder connects SAP analytics with merchandising systems, powering Accenture’s Optisell agent to surface at‑risk inventory, recommend pricing actions, and simplify merchandise alert configuration — all without heavy custom development.”

Catherine Nguyen, Global Lead for SAP Business Group AI Strategy and Adoption, Accenture

Product screenshot: SAP Build, Joule Studio, Restocking Agent

For developers building pro-code agents, SAP Business Technology Platform (SAP BTP) offers comprehensive support for popular open-source frameworks, like Crew.AI and LangGraph, and provides end-to-end identity, authorization, governance, and integration capabilities.

MCP support for SAP HANA Cloud is now available, providing with direct access to rich multi-model engines. This allows agents to be grounded in full data context: navigating relationships across customers and suppliers, understanding geographic dependencies through spatial data, and performing semantic searches through vector embeddings — all within a single in-memory engine. 

Additionally, SAP HANA Cloud knowledge graph engine can now automatically generate knowledge graphs from SAP HANA Cloud metadata. What used to take weeks of manual modeling can now happen automatically in minutes.

We’re also enabling agentic memory in SAP HANA Cloud. With long-term memory, AI agents can persist context across long-running sessions and memorize past input and decisions, just like humans do, to become continuously smarter.

I’m excited to share several AI Foundation innovations, including our first enterprise relational foundation model (RPT), SAP-RPT-1, accompanied by a no-code testing playground environment and prompt optimizer service. New capabilities are continuously added to our generative AI hub, empowering developers to experiment with leading models and orchestration tools and scale AI development and productization across SAP and non-SAP landscapes. Read more about these announcements here.

Vibe on SAP Build using the tools of your choice

New local MCP servers for SAP Build give developers the ability to use agentic tools for SAP Build development and preferred code assistants, such as Cursor, Windsurf, Claude Code, Cline, and OpenAI Codex — all while maintaining enterprise-grade governance and clean-core alignment.

An SAP Build extension pack for Visual Studio (VS) Code is now available to simplify development of CAP, Fiori, UI5, and mobile applications. This makes it easier for VS Code developers to build faster and deploy apps on SAP BTP. Looking ahead, we will publish our extensions on the Open VSX Registry to simplify the onboarding of these tools and provide similar native development experiences on other integrated developer environments (IDEs).

Product screenshot: Extensions

Increase velocity with SAP Joule for Developers

SAP Joule for Developers, the best code assistant for SAP development, empowers developers of all skill levels to build more efficiently by leveraging comprehensive, AI-infused developer tools to deliver precise, contextualized outcomes powered by purpose-built, SAP-centric AI models. This frees-up time to be more productive, creative, and proficient in accelerating ABAP, Java, JavaScript, and visual tool-based application development and automation of SAP processes.

New enhancements to SAP Joule for Developers, such as ABAP AI-assisted development within SAP Cloud ERP Private and AI-driven custom code migration capabilities, help developers modernize legacy systems and meet enterprise-grade governance and security requirements. These improvements also boost productivity, enhance code quality, and support cloud transformation goals.

Developers working in SAP Build for digital workspaces can now use AI-assisted content creation to quickly generate comments, create workspace content, and summarize documents. AI responses can also draw directly from user-specific folders and workspace content, providing users with trusted insights tailored to their roles, while maintaining compliance and secure role-based document grounding. 

Looking ahead, new ABAP large language models (LLMs) trained on ABAP code and specialized for ABAP development will be released next year.

Connect everything to boost productivity

Developers build the bridges that keep businesses running. We’re making that work easier and faster with SAP Integration Suite. The following innovations make API and agent-driven automation easier, ensure reliable end-to-end security with real-time monitoring, and boost developer productivity.

We are continuing to embed AI capabilities directly into SAP Integration Suite. API management will now automatically provide targeted recommendations and intelligent healing to resolve common API anomalies such as error spikes, latency surges, or abnormal traffic patterns. Developers can also ask Joule to about the most used APIs to gain deep API insights and understand usage patterns.

Product screenshot: SAP Integration Suite

MCP Gateway support will enable customers to expose custom APIs and integration flows that can be consumed by AI agents. This feature introduces the ability for customers to enrich custom agents built in Joule Studio or extend Joule Agents by integrating data from third-party and legacy SAP systems, composed as MCP tools for smooth agentic consumption. This approach standardizes access, centralizes governance and security, and simplifies discoverability in the SAP Developer Center.

To jumpstart integration projects, you can access hundreds of out-of-the-box integration adapters as well as pre-built API, event, and integration content on SAP Business Accelerator Hub.

Gain security and operations built in, not bolted on

SAP BTP provides developers with a unified environment to manage applications, secure data, and scale solutions seamlessly across SAP and third-party systems. With core centralized application lifecycle, interoperability, security, and administration capabilities, developers can easily and quickly resolve errors and boost team productivity. Read the full list of enhancements in the SAP TechEd Innovation Guide.

Explore at your own pace

If you missed attending SAP TechEd in person or virtually, please be sure to read the full list of announcements in the Innovation Guide and watch sessions on-demand.

Wherever you’re at in your journey, there are easy ways to get started:


Michael Ameling is general manager and chief product officer of Business Technology Platform and a member of the Extended Board of SAP SE.

SAP TechEd: Read news, stories, and coverage from the event

Introducing SAP Snowflake, New Data Fabric Innovations for SAP Business Data Cloud and SAP HANA Cloud

For decades, data has been the backbone of innovation. And in today’s AI-enabled economy, its role has never been more vital. Now, data must be delivered in a way that both people and AI agents can understand and act on with confidence.

Advancements in AI agents, data, and platform capabilities equip developers with the tools to drive business transformation

At SAP, we believe in creating an ecosystem that simplifies your data landscape and preserves the mission-critical business context of all of your data. This is made possible with a business data fabric.

This architectural approach marks the culmination of decades of progress — from cubes to warehouses to lakehouses — now converging toward a business data fabric architecture that brings the true meaning of data together for AI projects to succeed at scale.

Simplify your data landscape with a business data fabric

Earlier this year, we announced SAP Business Data Cloud (SAP BDC), making end-to-end business data fabric capabilities available for everyone that relies on mission-critical SAP data, including fully managed SAP Databricks.

This week at SAP TechEd Berlin, we announced the SAP Snowflake solution extension for SAP BDC that brings Snowflake’s data and AI capabilities directly to SAP customers.

Together with SAP BDC, this provides organizations with the flexibility to choose the right compute and storage for every data and AI workload — extending their business data fabric while maintaining governance, interoperability, and semantics. As a solution extension, SAP Snowflake will be available directly through SAP, providing a simplified operational experience for customers.

For many customers, integrating data across multi-cloud and hybrid environments adds complexity, especially when bringing transactional and analytical workloads together. Too often, that process comes with a hidden data tax: it strips away the business context and semantics that give data its meaning.

We recently announced SAP BDC Connect, a capability that gives customers bi-directional, zero copy data and metadata sharing in SAP Business Data Cloud with their existing Databricks and Google Cloud environments. Today, we are excited to announce SAP BDC Connect for Snowflake, making it dramatically easier for customers to harmonize and govern mission-critical data wherever it resides.

Connect all your data

As organizations simplify their data landscapes, building a trusted data foundation rooted in business context has become a top priority. A global survey of 1,200 business and technology leaders found that nearly half are heavily investing more in harmonizing business data, underscoring the growing importance of using data built on industry standards.

To help accelerate this progress, SAP delivers fully managed data products as a core component of SAP Business Data Cloud, now with new innovations that expand coverage and connectivity:

  • Data product studio: A new capability in SAP BDC allows users to create, model, and manage reusable data products using both visual tools and SQL-based transformations from a single workspace. Users can define schema, lineage, and logic to blend SAP and non-SAP data into governed assets with full version control and lifecycle management. It is a simpler way to cross-pollinate data products across lines of business and ensure a consistent definition of data across your business data fabric.
  • Additional SAP data products: New data products are now available through SAP BDC, spanning SAP Cloud ERP, SAP SuccessFactors, sustainability, and customer experience solutions and more — bringing even broader coverage across business domains.
  • Bi-directional data sharing: We announced data sharing between SAP BDC and SAP HANA Cloud, unlocking the value of data across both transactional and analytical workloads. Customers can reuse existing objects, such as SAP HANA calculation views, directly in SAP BDC — preserving business logic, KPIs, and governance as they extend models across their business data fabric.
GIF: Loop of data products studio demo

Amplify your agents and applications with an AI database

We’re expanding SAP HANA Cloud with new capabilities that make it the AI database for building agents and intelligent applications, helping developers connect and understand all types of data: structured, spatial, graph, vector embeddings, and more, all within a single in-memory engine.

Today, we’re expanding these multi-model capabilities with three major innovations that make it easier to build agentic AI experiences.

  • Expanded knowledge graph capabilities to enable accurate agents: SAP HANA Cloud knowledge graph engine will now enable customers to automatically generate knowledge graphs from SAP HANA Cloud metadata. The automated graph will include tables and columns and can demonstrate data relationships. These knowledge graphs are customizable and composable, so developers can review data mapping, modify the graph structure, execute a semantic search, and use it to ground agents with the business context it needs to reason accurately.
  • Model Context Protocol (MCP) support for SAP HANA Cloud: We’re expanding SAP HANA Cloud with Model Context Protocol (MCP) support, giving Joule Agents access to rich multi-model engines in SAP HANA Cloud. While SQL remains the default database standard, MCP allows Joule Agents to go beyond rows and columns to interface with unstructured data — understanding relationships, locations, and meaning across all data types. In practice, that means Joule Agents can navigate relationships between customers and suppliers, analyze geographic dependencies through spatial data, and perform semantic searches through vector embeddings.
  • Tabular AI capabilities: This integration with SAP AI Core allows users to run AI workloads such as forecasting, anomaly detection, and predictive modeling directly on structured business data from SAP HANA Cloud. Along with ready-to-use tabular AI models, customers also gain access to the SAP-RPT-1 AI model, a new transformer-based foundation model. Embedded natively in SAP HANA Cloud, this delivers predictions without task-specific pre-training, enabling developers to use simple SQL procedures to bring AI closer to their SAP data and generate semantically rich outputs.

Get started today

A business data fabric provides a deeply integrated ecosystem for all your data. And with SAP Business Data Cloud and SAP HANA Cloud, you have a fully managed solution for every data and AI workload that ensures business context remains intact across your data landscape.


Irfan Khan is president and chief product officer of SAP Data and Analytics.

SAP TechEd: Read news, stories, and coverage from the event

SAP Expands Physical AI Partnerships and Demonstrates Success of New Robotics Pilots

New collaborations with leading robotics companies and enterprise partners accelerate autonomous operations across manufacturing, logistics, and field services.

Advancements in AI agents, data, and platform capabilities equip developers with the tools to drive business transformation

Early results in proof-of-concept applications of SAP’s robotics initiative, Project Embodied AI, demonstrate up to 50 percent reductions in unplanned downtime, up to 25 percent improvement in productivity, and significant reductions in operational errors across manufacturing, warehouse automation, and quality inspection.

These results are among the reasons why SAP has expanded its Embodied AI ecosystem through partnerships with leading robotics companies and robotic enablement partners, as announced this week at SAP TechEd. This builds on the recently announced collaboration with NEURA Robotics and NVIDIA to drive the future of physical AI.

The Embodied AI initiative extends the impact of SAP Business AI into physical operations by making robots cognitive: able to autonomously execute complex tasks while understanding the broader business context in which they work. This empowers enterprises to faster adapt to changing operational environments.

SAP is uniquely positioned to deliver these innovations because of its decades of experience with business applications deeply integrated into the processes that power the modern enterprise. This allows SAP customers to integrate robotics into the same business functions seamlessly, in a way no other company can. The result of our new robotics partnerships includes new proof-of-concept applications of embodied AI that demonstrate the business value and return on investment of our approach.

Cutting-edge experiments demonstrate measurable productivity gains

BITZER, a leading name in refrigeration, air conditioning, and heat pump technology, teamed up with SAP and NEURA Robotics to revolutionize warehouse logistics. In a recent pilot proof-of-concept, BITZER’s warehouse became a testing ground for one of Europe’s most advanced humanoid robot, 4NE1, which was able to perform pick-tasks on its own in real time.

The tasks are selected by embodied AI agents. The process also integrates SAP’s business logic from SAP S/4HANA for extended warehouse management through SAP Business Technology Platform (SAP BTP). Prior to its warehouse deployment, 4NE1 was trained virtually using NVIDIA’s Isaac Sim software. This ensured the robot was fully prepared for real-world operations. By integrating embodied AI into warehouse operations, BITZER could reach 24/7 utilization and a high level of responsiveness.

The technology can add to human expertise, stepping in during demand fluctuations and peak periods. It also complements regular shifts with flexible and scalable support. This ensures operations remain agile and efficient, even under varying workloads. Thanks to a single source of truth, orders can be expanded or cancelled in near real time, as robots execute changes almost instantly. This improves reaction times and enables BITZER to maintain high service levels while optimizing the use of resources.

“We are excited to join the Embodied AI initiative with SAP and NEURA. We believe this collaboration will enhance our operational efficiency and drive innovation in our processes.”

Christian Stenzel, Vice President of Corporate Organization and IT, BITZER

Transforming warehouse operations at Sartorius

Imagine stepping into a warehouse in which intelligent machines work side-by-side with humans. The first proof of concept for embodied AI at Sartorius shows it is possible and marks a milestone in the journey to next-level logistics.

“So far, like many others, our focus was on fixed automation, in which specialized equipment handles only a single task. Now we’re making automation intelligent, and far more dynamic, to help us navigate a fast-moving world.”

Steffen Dietz, Manager of Business Process Management in Operations and Supply Chain, Sartorius

The proof of concept, also delivered through the partnership with SAP and NEURA Robotics, demonstrates how cognitive robots can support manual workstations in an advanced warehouse environment. Here, the humanoid robot 4NE1 was trained with Sartorius products in NEURA Robotics’ lab. The solution builds on an SAP S/4HANA migration and SAP Extended Warehouse Management (SAP EWM) rollout in May, which established the foundation for leveraging the latest capabilities from SAP.

The result boosts efficiency and enhances operational resilience. “We’re really happy to help spearhead this new age together with SAP and NEURA,” Steffen Dietz, manager of Business Process Management in Operations and Supply Chain at Sartorius, shared.

Optimizing automotive production at Martur Fompak

Martur Fompak, a global leader in automotive seating systems, teamed up with Humanoid and SAP to explore how humanoid robots could transform field operations workflows.

Watch the video: SAP x Martur Fompak x Humanoid

Humanoid offers robots that provide cost-effective industrial automation and warehouse solutions, with modular designs that enable configurations for logistics operations, asset monitoring, and scalable field service applications.

Together the team is testing how cognitive robotics can support picking and packing operations at the company’s 30 production plants across various continents and countries.

The early exploration connects Humanoid modular robots with SAP solutions to execute workflows such as component retrieval, tray loading, and precise placement into production containers. SAP’s embodied AI agents provide context awareness around production orders and component variants.

“SAP’s AI platform gives our robots intelligence to adapt and scale with enterprise needs, which creates flexible automation.”

Artem Sokolov, Founder and CEO, Humanoid

Initial findings demonstrate the value in automating repetitive and ergonomically demanding tasks, such as unpacking parts, handling trays, or supporting kitting processes. These experiments will be the foundation for a broader transformation in which humanoid robots participate in SAP-driven manufacturing environments and logistics processes.

Robotics company partners

Building upon these successes, SAP announced the following additional partnerships:

AgiBot

Agibot creates general-purpose embodied robot products and an application ecosystem. The company delivers a complete product portfolio and deploy across all major application scenarios.

“Our SAP partnership transforms industrial automation by combining humanoid capabilities with enterprise intelligence that understands business context,” said Peng Zhihui, founder and CEO of AgiBot.

ANYbotics

ANYbotics provides a full-stack autonomous inspection solution that combines autonomous robotics with inspection intelligence.

“Integrating this continuous flow of inspection intelligence with SAP makes operations not only autonomous but truly intelligent, where issues are predicted, understood, and prevented before they affect production,” said Dr. Péter Fankhauser, CEO and co-founder of ANYbotics.

Watch the Anybotics robotic AI solution video.

Booster Robotics

Booster Robotics provides T1 humanoid robots for warehouse operations and field maintenance.

“Our humanoid platforms, with SAP’s intelligence, creates an adaptive automation foundation that understands business processes and operational context,” said Cheng Hao, CEO of Booster Robotics.

Watch the Booster Robotics x SAP EWM robotic AI solution video.

Galbot

Galbot’s fully autonomous, general-purpose humanoid robots have been deployed across a wide range of applications, including industrial, logistics, retail, and healthcare sectors. Powered by proprietary vision-language-action models, the Galbot G1 autonomously performs complex tasks such as precise parts sorting, industrial bin handling, and end-to-end pharmacy operations. These models enable Galbot robots to rapidly adapt to dynamic environments, ensuring high precision and efficiency even in challenging real-world conditions.

“Our collaboration with SAP marks a key milestone in transforming how robots understand and operate within enterprise environments. By integrating business context awareness into our robots, we’re creating automation that seamlessly adapts to shifting operational priorities in real time,” said He Wang, founder and CEO of Galbot.

Watch the Galbot x SAP EWM robotic AI solution video.

Humanoid

Humanoid offers reliable HMND 01 humanoid robots that provide cost-effective industrial automation and warehouse solutions, with modular designs that enable configurations for logistics operations, asset monitoring, and scalable field service applications.

“SAP’s AI platform gives our robots intelligence to adapt and scale with enterprise needs, which creates flexible automation,” said Artem Sokolov, founder and CEO of Humanoid.

Unitree Robotics

Unitree Robotics provides advanced quadruped Go2 robots for warehouse navigation and asset inspection, plus G1 humanoids with human-like dexterity for logistics operations, alongside industrial B2 models for outdoor facility maintenance.

“SAP embodied AI agents will revolutionize enterprise autonomous operations from warehouse management to predictive maintenance across facilities,” said Wang Xingxing, CEO and founder of Unitree Robotics.

Watch the Unitree robotic asset visual inspection video.

Robotics enablement partners

SAP also introduced the following robotics enablement partners to connect humanoid and mobile robots, optimize intralogistics, streamline inspections, and orchestrate physical assets enabled by SAP Business AI and automation technologies:

Capgemini

Capgemini explores the value that can be derived from the convergence of advanced technologies such as agentic and multi-agent AI systems, humanoid robotics, reinforcement learning, spatial computing, real-time 3D environments, and conversational AI. Capgemini and SAP are jointly exploring physical AI to help organizations gain a competitive edge.

Cyberwave 

Cyberwave connects SAP systems to the physical world through its Physical AI platform, which integrates robots, sensors, and digital twins into enterprise workflows.

“Together with SAP, Cyberwave turns enterprise data into coordinated physical action — bridging the gap between digital intelligence and real-world operations through Physical AI,” said Simone Di Somma, founder of Cyberwave.

HCLTech

HCLTech provides automation expertise through its AI Force platform and SAP integration capabilities, leveraging Cloud Native & AI Lab in collaboration with SAP to accelerate generative AI-led robotics solutions.

“Our collaboration with SAP enables cognitive robotics to seamlessly integrate with enterprise systems, transforming business operations through automation,” said Vijay Guntur, CTO and head of Ecosystems at HCLTech.

KINEXON

KINEXON brings physical AI to day-to-day material flow management, helping customers scale mixed-fleet operations with a vendor-agnostic orchestration platform for autonomous mobile robots (AMRs), automated guided vehicles (AGVs), and manual vehicles.

“Our collaboration with SAP infuses business-driven agentic reasoning into real-world material movement planning and execution, maximizing utilization and throughput,” said Dr. Alexander Huettenbrink, co-CEO of KINEXON Industries.

Lighthouse

Lighthouse transforms business complexities into streamlined digital solutions, leveraging expertise across SAP Intelligent Asset Management, SAP Business AI, and SAP BTP. 

“Embodied AI has huge potential for use cases, including asset and site inspection, health and safety, and quality inspection to deliver more resilient, flexible operations. We see major customer needs today, such as hazardous environments on offshore platforms in the oil and gas industry, utilities, and transportation,” said Urs Gehrig, managing director of Business Development at Lighthouse.

SinoSwissHub

SinoSwissHub is launching a regionally compliant, SAP-integrated orchestration platform for multi-robot fleets, with humanoids as the centerpiece.

“We don’t just connect robots to an SAP system; we enable real-time physical data to reinvent processes and build adaptive, resilient value chains together with SAP,” said Yuki Long, founder and CEO of SinoSwisshub and Aimbo Robotics.

Through these strategic alliances, SAP continues to lead the evolution from traditional robotic tools to those that empower autonomous operations, informed by deep business context.

To explore how SAP technology makes proofs of concepts possible in robotics, explore the reference architecture on the SAP Architecture Center site. To get involved in SAP’s Embodied AI initiative, register here.


Dr. Łukasz Ostrowski is head of Embodied AI and Robotics at SAP.

SAP TechEd: Read news, stories, and coverage from the event

SAP Empowers Developers to Drive the Business AI Revolution

Innovations and partnerships including a new collaboration with Snowflake equip developers to turn business data and AI into real business outcomes


BERLIN — At SAP TechEd in 2025, SAP SE (NYSE: SAP) brings AI deep into the development process to level up how developers build.

Advancements in AI agents, data, and platform capabilities equip developers with the tools to drive business transformation

New AI-driven capabilities in the SAP Build solution, an expanding data ecosystem and powerful Joule Agents empower developers to move from idea to impact with unprecedented speed and confidence. As AI transforms the nature of professional work, SAP also pledges to equip 12 million people worldwide with AI-ready skills by 2030.

“SAP’s announcements today give developers the tools they need to deliver at the speed of AI,” said Muhammad Alam, member of the Executive Board of SAP SE. “Innovations across SAP’s unique flywheel of applications, data and AI put developers in the driver’s seat — where they belong.”

Opening the Developer Ecosystem

SAP Build, the company’s flagship solution for enterprise application development and automation, now gives developers more freedom to build, extend and automate using the tools they love most.

For instance, developers who prefer agentic development solutions like Cursor, Claude Code, Cline and Windsurf can now use SAP development frameworks with new SAP Build local Model Context Protocol Servers. Visual Studio Code users will be able to access SAP Build capabilities directly in their development environment with a new SAP Build extension. This extension will also be made available later on Open VSX Registry for other development environments. SAP and n8n also announced plans for an integration so Joule Studio agents and n8n agents can work together.

And with new agent building capabilities in Joule Studio, developers have the tools they need to extend SAP’s ready-to-use agents and build new agents grounded in SAP business data and context that can act autonomously based on changing business conditions.

Putting Data to Work

Every intelligent application starts with trusted data. SAP is giving developers more ways to put that data to work through SAP Business Data Cloud.

The solution now connects with more of the data and AI platforms developers use every day. A new SAP Snowflake solution extension for SAP Business Data Cloud brings Snowflake’s fully managed data and AI capabilities directly to SAP customers, giving them the flexibility to choose the right compute and storage for each data and AI workload, while maintaining governance, interoperability and business context. SAP also announced a new SAP Business Data Cloud Connect partnership with Snowflake. This complements existing integrations with Databricks and Google Cloud, giving developers more freedom to choose how they work with SAP data.

With a new data product studio capability in SAP Business Data Cloud, developers can turn raw data into ready-to-use assets known as data products that support analytics, AI and application development.

An expanded capability in the SAP HANA Cloud knowledge graph engine can automatically generate knowledge graphs. This capability maps relationships across SAP database tables, columns and data models, revealing how data fits together and why it matters. Developers will be able to see how their data connects across systems and uncover underlying business insights.

Bringing AI Autonomy to Life

SAP is evolving its AI portfolio to give developers the intelligence and orchestration power they need to take AI from insight to action.

SAP introduced its first enterprise relational foundation model, a new class of AI that predicts business outcomes rather than the next word in a sentence. SAP-RPT-1, or the first-generation Relational Pre-trained Transformer, can make fast and accurate predictions for common business scenarios like delivery delays, payment risk or sales order completion. SAP launched a free playground environment for developers today.

New AI assistants in Joule coordinate multiple agents across workflows, departments and applications, bringing automation and autonomy to life. These assistants plan, initiate and complete complex tasks spanning finance, supply chain, HR and beyond. Today, SAP introduces new agents built for technical users. For example, an agent for business process analysis will help teams understand how processes run, identify inefficiencies and uncover opportunities to optimize workflows and drive measurable improvements.

Lastly, as AI changes the nature of work for everyone, SAP is pledging to equip 12 million people worldwide with AI-ready skills by 2030. SAP will expand hands-on training and certification programs that integrate practical AI-ready tools, including through its partnership with online learning platform Coursera.

Visit the SAP News Center. Get SAP news via LinkedIn and Bluesky.

SAP TechEd 2025 Media & Analyst Program: Find event information, news and media assets all in one place

About SAP

As a global leader in enterprise applications and business AI, SAP (NYSE:SAP) stands at the nexus of business and technology. For over 50 years, organizations have trusted SAP to bring out their best by uniting business-critical operations spanning finance, procurement, HR, supply chain, and customer experience. For more information, visit www.sap.com.

Note to editors:
To preview and download broadcast-standard stock footage and press photos digitally, please visit www.sap.com/photos. On this platform, you can find high resolution material for your media channels.

For customers interested in learning more about SAP products:
Global Customer Center: +49 180 534-34-24
United States Only: 1 (800) 872-1SAP (1-800-872-1727)

For more information, press only:
Joellen Perry, +1 (626) 265-0370, joellen.perry@sap.com, PT
Marcus Winkler, +49 6227 7-67497, marcus.winkler@sap.com, CET
SAP Press Roompress@sap.com

This document contains forward-looking statements, which are predictions, projections, or other statements about future events. These statements are based on current expectations, forecasts, and assumptions that are subject to risks and uncertainties that could cause actual results and outcomes to materially differ. Additional information regarding these risks and uncertainties may be found in our filings with the Securities and Exchange Commission, including but not limited to the risk factors section of SAP’s 2024 Annual Report on Form 20-F.
© 2025 SAP SE. All rights reserved.
SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of SAP SE in Germany and other countries. Please see https://www.sap.com/copyright for additional trademark information and notices.
Please consider our privacy policy. If you received this press release in your e-mail and you wish to unsubscribe to our mailing list please contact press@sap.com and write Unsubscribe in the subject line.

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SAP and Snowflake Unleash the Power of Data and Enterprise AI Across the Business Data Fabric

New partnership empowers organizations with access to rich data insights required to power AI apps that accelerate businesses outcomes


BOZEMAN, Mont. and WALLDORF, Germany — Snowflake (NYSE: SNOW), the AI Data Cloud company, and SAP SE (NYSE: SAP), a global leader in enterprise applications and business AI, today announced a new collaboration to enable organizations to leverage Snowflake’s AI Data Cloud and SAP Business Data Cloud (SAP BDC) together with semantically rich data.

Advancements in AI agents, data, and platform capabilities equip developers with the tools to drive business transformation

The joint effort will make Snowflake’s data and AI platform available as an SAP solution extension for customers of the SAP BDC solution. The new offering, SAP Snowflake solution extension for SAP Business Data Cloud, unites SAP’s deep expertise in mission-critical business processes and semantically rich data with Snowflake’s unified platform capabilities for building AI and machine learning solutions. SAP and Snowflake are also enabling zero-copy sharing between SAP BDC and Snowflake to help customers get richer insights, build enterprise-grade intelligent applications, and unlock AI-enabled innovation that fuels business transformation.

“By tightly integrating SAP and Snowflake, we’re making it simple for enterprises to connect their critical business data with its rich context in SAP with the power of seamless AI app and data agent development at scale in Snowflake,” added Christian Kleinerman, EVP of Product, Snowflake. “Enterprises can now innovate faster with Snowflake and SAP BDC and seamlessly share data between the platforms—zero-copy and fully governed.”

SAP Snowflake brings Snowflake into the open data ecosystem of SAP BDC and the business data fabric—empowering customers with greater openness and choice while extending SAP BDC with Snowflake’s AI, analytics, data engineering, Marketplace, and collaboration capabilities. Customers can use SAP BDC with SAP Snowflake as a cloud-scale compute and storage option to extend the value of their data. Leveraging bidirectional, zero-copy data access data and AI teams can work with semantically rich SAP data products in real time, within a unified governance framework. As a result, customers can harmonize SAP and non-SAP data while optimizing total cost of ownership across workloads and build agents and AI applications in SAP Snowflake fueled by trusted SAP data products.

“Bringing Snowflake to SAP Business Data Cloud empowers our customers with openness and choice,” said Irfan Khan, President and Chief Product Officer for SAP Data and Analytics, SAP SE. “Together, we combine SAP’s decades of leadership in mission-critical business applications with Snowflake’s modern data platform to deliver a unified, enterprise-ready, and SAP-supported experience that extends the value of business data across the entire ecosystem.”

With SAP Snowflake, customers can:

  • Build a trusted, AI-ready data foundation to harmonize SAP and non-SAP data: Unify their data landscape with an integrated business data fabric—enabling more seamless zero-copy sharing, enriched modeling, and a complete, business-ready view of their data in real time for all data engineering, analytics, and AI and machine learning workflows across the enterprise.
  • Accelerate AI business value with semantically rich data: Simplify AI governance, ground AI in organizational knowledge, and build tailored agents—helping to ensure more secure, context-rich, and intelligent applications across the enterprise.
  • Develop intelligent applications grounded in mission-critical business data: Build, deploy, and continuously optimize intelligent applications faster with a harmonized and democratized data foundation powered by semantically rich, trusted data products that accelerate the pace of innovation and production.

In addition to SAP Snowflake, the partnership also includes SAP Business Data Cloud Connect for Snowflake, a capability enabling bidirectional, zero copy data sharing with Snowflake. Enterprises already using Snowflake can leverage SAP BDC Connect to integrate their existing instances of Snowflake with SAP Business Data Cloud for more-seamless, zero‑copy access, providing Snowflake users with real-time access to semantically rich SAP data products—without duplication.

SAP and Snowflake are supporting thousands of customers, including industry leaders like AstraZeneca, as they transform their industries with this partnership.

“AstraZeneca is constantly pushing the boundaries of science and is pioneering in life-changing medicines,” said Russell Smith, Vice President of ERP Transformation Technology, AstraZeneca. “Data and AI are central to achieving this aim, and our close collaboration with SAP and Snowflake compliments our ability to access, process and analyze real-time data. This announcement will accelerate our mission and recognizes that every minute matters to make breakthroughs for patients.”

SAP Snowflake is planned to be generally available in Q1 2026. SAP BDC Connect for Snowflake is planned to be generally available in H1 2026.

Learn more

  • Learn more about the power of SAP and Snowflake together here.
  • Discover what makes the SAP Business Data Cloud unique here.
  • For more information on SAP Snowflake, visit the SAP and Snowflake partner page and read this blog post.
  • Stay on top of the latest news and announcements from Snowflake on LinkedIn and X.

Visit the SAP News Center. Get SAP news via LinkedIn and Bluesky.

SAP TechEd 2025 Media & Analyst Program: Find event information, news and media assets all in one place

About Snowflake

Snowflake is the platform for the AI era, making it easy for enterprises to innovate faster and get more value from data. More than 12,000 customers around the globe, including hundreds of the world’s largest companies, use Snowflake’s AI Data Cloud to build, use and share data, applications and AI. With Snowflake, data and AI are transformative for everyone. Learn more at snowflake.com (NYSE: SNOW).

About SAP

As a global leader in enterprise applications and business AI, SAP (NYSE:SAP) stands at the nexus of business and technology. For over 50 years, organizations have trusted SAP to bring out their best by uniting business-critical operations spanning finance, procurement, HR, supply chain, and customer experience. For more information, visit www.sap.com.

Note to editors:
To preview and download broadcast-standard stock footage and press photos digitally, please visit www.sap.com/photos. On this platform, you can find high resolution material for your media channels.

For customers interested in learning more about SAP products:
Global Customer Center: +49 180 534-34-24
United States Only: 1 (800) 872-1SAP (1-800-872-1727)

For more information, press only:
SAP: Scott Malinowski, scott.malinowski@sap.com
SAP Press Roompress@sap.com
Snowflake: Tom Hannigan, press@snowflake.com

This press release contains express and implied forward-looking statements, including statements regarding (i) Snowflake’s business strategy, (ii) Snowflake’s products, services, and technology offerings, including those that are under development or not generally available, (iii) market growth, trends, and competitive considerations, and (iv) the integration, interoperability, and availability of Snowflake’s products with and on third-party platforms. These forward-looking statements are subject to a number of risks, uncertainties and assumptions, including those described under the heading “Risk Factors” and elsewhere in the Quarterly Reports on Form 10-Q and the Annual Reports on Form 10-K that Snowflake files with the Securities and Exchange Commission. In light of these risks, uncertainties, and assumptions, actual results could differ materially and adversely from those anticipated or implied in the forward-looking statements. As a result, you should not rely on any forward-looking statements as predictions of future events.
© 2025 Snowflake Inc. All rights reserved. Snowflake, the Snowflake logo, and all other Snowflake product, feature and service names mentioned herein are registered trademarks or trademarks of Snowflake Inc. in the United States and other countries. All other brand names or logos mentioned or used herein are for identification purposes only and may be the trademarks of their respective holder(s). Snowflake may not be associated with, or be sponsored or endorsed by, any such holder(s).

This document contains forward-looking statements, which are predictions, projections, or other statements about future events. These statements are based on current expectations, forecasts, and assumptions that are subject to risks and uncertainties that could cause actual results and outcomes to materially differ. Additional information regarding these risks and uncertainties may be found in our filings with the Securities and Exchange Commission, including but not limited to the risk factors section of SAP’s 2024 Annual Report on Form 20-F.
© 2025 SAP SE. All rights reserved.
SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of SAP SE in Germany and other countries. Please see https://www.sap.com/copyright for additional trademark information and notices.
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Industrial AI Made in Europe: Digital Sovereignty Through Partnership and Innovation 

SAP and a group of European and global partners launched the Industrial AI Cloud project today, marking a major milestone on the path to implementing the vision of “Industrial AI Made in Europe.” 

Embrace the cloud without compromise

At the heart of this effort, SAP is working in concert with Deutsche Telekom, NVIDIA, Siemens, Deutsche Bank, Perplexity, PhysicsX, and Agile Robots. 

Together, the AI Cloud project partners plan to help shape Europe’s digital future and facilitate the application of advanced AI technologies in European industry, beginning with a partnership between Deutsche Telekom and NVIDIA totaling around €1 billion. 

The initiative which is backed by the German Federal Ministry for Digital Affairs and State Modernization, is designed to transform Germany into Europe’s AI hotspot and enable European companies to access secure and sovereign computing resources and help them accelerate innovation and unlock the full potential of industrial AI – responsibly, collaboratively, and on Europe’s terms –drawing on Europe’s vast corporate data reserves. 

Sovereignty. Not isolation.  

Digital sovereignty has been a hot topic in Europe and elsewhere over the past nine months, reflecting growing concerns about geopolitical events including tariffs and cross-border data access. Some, including the European Union, have argued that Europe needs its own infrastructure to support digital sovereignty, while others have taken a broader view of the issue. 

The Industrial AI Cloud project aims to bridge these perspectives and strengthen digital sovereignty and innovation in Germany and across Europe by leveraging the best available technologies through trusted partnerships, while ensuring that control over proprietary data remains firmly in European hands. 

During a joint press conference in Berlin, the partners unveiled their plans for the Industrial AI Cloud, which promises to simplify the integration of AI solutions into business operations, addressing the fragmentation that has long limited Europe’s AI landscape. 

Phase one 

In its first phase, Deutsche Telekom’s existing data center in Munich will be expanded by adding AI infrastructure with NVIDIA GPUs by the first quarter of 2026. This will enable the provision of high-performance AI services to companies of all sizes throughout Germany and Europe.  

While Deutsche Telekom supplies physical infrastructure, SAP delivers the technology layer by providing its SAP Business Technology Platform and a comprehensive suite of applications, accelerated by advanced AI and Simulation technologies including those from NVIDIA. Together, the partners are establishing a secure and high-performance digital platform for enterprises, public sector organizations and regulated industries, such as defense and critical infrastructure,  

The state-of-the-art AI computing facility with the Industrial AI Cloud is also one of the first flagship projects of the ‘Made 4 Germany’ initiative, which includes over 100 German companies, aiming to strengthen Germany as a business location and accelerate digitalization in business and public administration. 

Collaboration as the Key to Success 

As SAP CEO Christian Klein emphasized, the demand for digital sovereignty is growing rapidly in an increasingly regulated and complex environment where tech companies are competing for leadership in the emerging market for generative and agentic AI leadership. 

According to SAP estimates, the AI market in Europe will exceed €20 billion by 2030 and require more than 22 gigawatts of data center capacity. Meeting this demand, Klein argued, is only possible through close collaboration and partnerships. “We will not achieve digital sovereignty by isolating ourselves, but by bringing the best technologies to Europe together with strong partners, while retaining control over our data,” Klein said. In the global AI race, it is crucial for Europe to set its own agenda and become a leader in industrial AI. 

Laying the foundation 

Projects like the Industrial AI Cloud, Klein noted, lay the foundation for this ambition. Building infrastructure and data centers is only one step; the real economic value will be generated when AI is productively deployed and deeply integrated into business and administrative processes.  

“Only when AI is seen not as an isolated technology, but as an integral part of operational workflows, will it unlock its potential to rethink business models, substantially boost productivity, and accelerate innovation,” he said. 

Prerequisites for Success 

Germany and Europe possess a strong industrial base, extensive expertise, and a wealth of industrial data. To turn this opportunity into tangible progress, policymakers and business leaders must coordinate their efforts, establish clear frameworks, and invest strategically in education, research, and secure, interoperable infrastructure. 

The Industrial AI Cloud enables seamless integration of AI solutions into businesses, closing the gap in Europe’s previously fragmented AI landscape. It combines choice and scalability, addressing the growing demand for secure, European AI solutions. 

The vision extends beyond the project itself. A digitally sovereign Europe, offering modern, user-centric services for citizens, government, and industry, will make Europe more efficient and innovative than ever, thanks to AI. 

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