We are pleased to announce that SAP has been named a Leader in the 2026 Gartner Magic Quadrant for Cloud ERP for Product-Centric Enterprises for the fifth year in a row.

SAP has been a Leader in this Magic Quadrant every year since its inception in 2022.

We believe this recognition, based on our Completeness of Vision and Ability to Execute, reflects our commitment to helping product-centric enterprises—from midmarket manufacturers to the most complex global operators—run smarter with integrated, AI-powered cloud ERP.

At SAP, this is what our Autonomous Enterprise strategy is designed to deliver. 

When we speak with customers, they tell us that what sets SAP apart isn’t just the depth of our cloud ERP capabilities, it’s how we bring together process intelligence, AI-enabled automation, and deep industry context into a unified platform built for the full product life cycle. Through Joule, SAP Business Data Cloud, SAP Knowledge Graph, and SAP Signavio, we help product-centric organizations discover inefficiencies, re-engineer processes, and execute AI-enabled operations from design and engineering through planning, manufacturing, and distribution. 

In practice, that means a connected design-to-operate platform: SAP Integrated Product Development ties engineering BOMs and product structures directly into procurement and production orders, so design changes propagate through the supply chain automatically rather than through manual handoffs. SAP Integrated Business Planning balances demand signals against multi-level bills of material, production capacity, and supplier constraints in real time. SAP Digital Manufacturing brings cloud-native execution and quality management to the shopfloor across both discrete and process industries. And SAP Transportation Management connects outbound logistics back to the same operational record—giving product-centric companies end-to-end visibility from the first component to the last mile. 

Through SAP Green Ledger, customers can link carbon emissions directly to specific products, production runs, and supplier inputs—enabling audit-ready sustainability reporting that serves both financial compliance and emerging digital product passport requirements. What resonates most is that this isn’t AI layered onto ERP. Our AI runs on the application logic and process models customers already have: Joule Assistants coordinate agents for each role—the production planner responding to a supply disruption, the quality manager escalating a deviation, the logistics coordinator rerouting a shipment—and those agents execute inside the transaction, with approvals, exception handling, and audit trails built in. 

When we speak with manufacturers, the AI they ask about is the AI on the plan and the plant floor. To illustrate just a few of the business value outcomes, the Supply Chain Planning Assistant turns an alert into a decision: its agents analyze the root cause of a plan exception, recommend the resolution for the planner to approve, and build service-versus-inventory curves so inventory targets are set against capital rather than in a spreadsheet, designed to cut excess and obsolete inventory by 20% and lift order fill rate by 15%.  

The Manufacturing Assistant detects a line disruption as it emerges, realigns the production schedule to live floor conditions, and flags material shortages with alternative components, designed to cut scrap and defect rates by 24% and raise production supervisor productivity by 19%. 

For us, recognition as a Leader is a milestone, not the end of the journey. Customers tell us they want to run their largest global operations in the public cloud, commercial terms that stay simple as they grow, and the Autonomous Enterprise in production rather than on a road map. We are acting on that:

• Public cloud at scale: SAP Cloud ERP is localized for 69 countries in 34 languages and runs as a single global instance for customers spanning dozens of countries 
• Simpler commercial terms: Joule Assistants and migration tooling are included in RISE with SAP and SAP GROW, SAP Build is included in SAP Business Suite packages, and AI consumption is metered in one unit. 
• Autonomous Enterprise in production: General availability for autonomous enterprise agents, Joule Work, and Joule Studio is now underway in a phased rollout, expanding SAP’s robust AI portfolio. Joule already runs in production at hundreds of customers, governed across their life cycle by SAP AI Agent Hub, and SAP’s own 110,000 employees run on it, with a 20% productivity gain in finance, HR, and procurement. The latest capabilities can be found on SAP Discovery Center. 

Looking ahead, we remain focused on a cloud ERP foundation built for the complexity of product-centric industries, AI that operates with the trust and governance businesses require, and the flexibility to scale from the midmarket to the most complex global manufacturers.

Read the full report. 

Manoj Swaminathan is president and chief product officer of SAP Autonomous Suite and a member of the Extended Board of SAP SE.

Gartner, Magic Quadrant for Cloud ERP for Product-Centric Enterprises, By Thomas Kienast, Johan Jartelius, Dennis Gaughan, Greg Leiter, Dixie John, 2 November 2026  
Gartner and Magic Quadrant are trademarks of Gartner, Inc., and/or its affiliates. 
Gartner does not endorse any company, vendor, product or service depicted in its publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner publications consist of the opinions of Gartner’s business and technology insights organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this publication, including any warranties of merchantability or fitness for a particular purpose. 
This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available here. 

At #SAPTechEd 2026, Jonathan von Rüden introduced new innovations designed to help developers build, extend, and integrate AI agents.

From Joule Studio to AI-powered application development, explore how SAP is helping developers bring their ideas to life and build toward the autonomous enterprise. https://sap.to/6053BHImMX

#SAPTechEd #JouleStudio #AIAgents

What if your AI-powered workspace could travel with you? See how SAP Joule Work brings voice-enabled productivity into an in-car experience.

In this short demonstration, discover how Joule Work could extend beyond traditional work environments through an Apple CarPlay-style interface. Using natural voice interactions, a user connects with Joule to access a shared Space, receive updates on an upcoming product launch, and stay informed about emerging business developments—all while on the move.

The experience begins with a simple question: “Hey, Joule. What has been shared with me?” Joule responds with information about a Space shared by a colleague, highlighting increased demand driven by sudden social media momentum. The user then asks Joule to analyze the buzz and add further insights about social media trends to the shared Space for later review.

This interaction illustrates the potential of SAP Business AI to make everyday work more connected, intuitive, and flexible. Joule Work is designed to bring together business context, insights, and AI-powered workflows in a dynamic workspace, helping people access relevant information and stay focused on what matters.

By exploring voice-enabled interactions in new environments, SAP is demonstrating a vision for the future of work where people can stay connected to their business without being tied to a traditional desktop experience.

Explore the latest features of the SAP Joule Work mobile app: https://sap.to/6056BHIj1o

Follow us on social:
LinkedIn: https://sap.to/6057BHIj1U
Instagram: https://sap.to/6058BHIj1q
Facebook: https://sap.to/6059BHIj1S
Threads: https://sap.to/6050BHIj1s

About SAP:
As a global leader in enterprise applications and business AI, 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: https://sap.to/6051BHIj1t

#SAP #Joule #BusinessAI

Artificial intelligence has become one of the fastest-adopted technologies in business history. As a result, AI has become ubiquitous. AI value, however, hasn’t.

SAP’s latest global research with Oxford Economics reveals that organizations are already using AI across approximately 25% of business tasks, yet despite this momentum, only nine percent of organizations have fundamentally adapted their business around AI.

That gap matters. It suggests that while AI adoption is accelerating, most companies are not embedding it into how the business actually operates.

This is precisely the challenge the Autonomous Enterprise is designed to solve: moving AI beyond individual productivity gains to orchestrating end-to-end business processes and delivering value across the enterprise.

“Conversations with clients have fundamentally shifted. Customers are no longer asking about how to deploy AI, they’re demanding ways to harness it rapidly and to scale it to unlock maximum business value while minimizing risk,” explained DK Sinha, CEO of Accenture Edge. “Programs like ADVANCE are built exactly for that: combining standardized delivery, unrivaled industry expertise, and AI-enabled accelerators to help organizations capture the full potential of their transformation. The result is greater speed, predictability, and confidence as they build their digital core and reinvent with AI.”

SAP often describes the Autonomous Enterprise as AI built on data, processes, and governance.  That sequence is important. Research consistently shows that poor data quality remains one of the biggest obstacles to enterprise AI, and mission-critical business processes cannot be “almost right.” AI needs the same controls, auditability, and compliance that organizations already expect from their ERP systems.

Why do so many AI initiatives stall?

The Oxford Economics findings point to an important conclusion: the biggest obstacle is no longer AI technology, it is business readiness.

Many organizations have added AI to individual applications. Far fewer have transformed their businesses to connect AI to the information, processes, and governance needed to create enterprise-wide value and move from piecemeal to enterprise-wide AI:

That distinction explains why so many pilots struggle to scale.

“AI can only support intelligent business decisions when it is grounded in how the business operates, including who the customer is, which contract applies, what inventory is available, which approval policies are in place, and which regulatory requirements must be met,” said Javier Navarro, SAP global head at SEIDOR. “As a trusted SAP partner, our role is to help clients connect AI to the data, processes, and governance that enable real business value.”

Most AI knows natural language. Enterprise AI must know the language of your business. This is the difference between using AI and running an AI-powered business, one where humans and AI work together across the enterprise, with AI grounded in trusted business data, governed processes, and enterprise-grade controls to deliver accurate, secure, and compliant outcomes for better and faster decision-making.

Medium-sized fast-growth companies have the greatest opportunity

Fast-growth companies are in a unique position: they have the agility to move faster than large enterprises, yet they still have the scale to generate meaningful value from AI. These businesses have unique competitive advantages, including fewer systems to integrate, shorter decision-making chains, less technical debt, and typically more willingness to adopt modern, cloud-native platforms. Autonomous enterprise capabilities represent a unique opportunity for these businesses to punch above their size.

This means they can deploy autonomous capabilities in weeks, not years, and see ROI far more quickly, turning agility into a genuine growth advantage against slower competitors.

 SAP’s Autonomous Enterprise strategy is designed precisely for this reality. It provides AI agents with a structured understanding of business entities, relationships, and processes—giving them the context needed to support real business execution.

Realizing that value, however, also requires rethinking how business transformation itself is delivered to fast-growth companies that are focused on fast outcomes.

The most challenging part is not implementing AI technology, but redesigning the operating model to eliminate dependency on consultants and put more power in the hands of the customer. Traditionally, transformation was designed around consultant-driven delivery, resulting in high costs, long timelines, and knowledge dependence. We challenged this model based on three principles: customer enablement-first, customer ownership, and AI-driven continuous learning.

“AI allows us to build knowledge directly into the organization through each stage of the transformation journey,” said Jiro Furuya, CEO, Freedom Consulting. “At the customer level, AI provides real-time guidance and support for day-to-day operations; at the consultant level, tools such as SAP Joule for Consultants enhance problem-solving and accelerate deliver; and underneath, a centralized data foundation continuously learns from every project, ensuring that knowledge compounds over time. This model and SAP GROW Fast methodology allow us to deliver go-lives in six-week waves, significantly accelerating time-to-value while ensuring that capability stays within the customer organization.”

The power of ecosystem

Clearly, no company becomes an Autonomous Enterprise alone. Technology alone doesn’t create an Autonomous Enterprise—business transformation does. And while SAP provides the trusted platform, our rich ecosystem of partners translates the capabilities into measurable business outcomes.

Partners bring the industry expertise, business process knowledge, and change management capabilities to help customers identify the highest-value use cases, integrate SAP with the broader IT landscape, develop industry-specific AI agents, and accelerate adoption—turning the promise of AI into enterprise-wide value much faster than companies could achieve on their own.

As a result, SAP has launched a €100 million partner fund to accelerate customer adoption of AI assistants and agents, recognizing that innovation at scale requires a vibrant ecosystem. For fast-growing companies, this dramatically lowers the barrier to adoption.

The first chapter of AI was about helping people work faster. The next chapter is about helping businesses think, decide, and operate more intelligently. That is the promise of the Autonomous Enterprise.

Becoming an Autonomous Enterprise is not just about AI itself, but about bringing together SAP, partners, and transformation expertise to accelerate outcomes. For fast-growth companies, this is an opportunity to compete differently, scale more intelligently, and define the next generation of market leaders.

Santina Franchi is president of the SAP Corporate Segment.

Celebrate 30 years of SAP Certification and see how trusted SAP skills validation has evolved for today’s digital careers.

Since 1996, SAP Certification has helped professionals prove they have the skills to deliver quality SAP implementations and keep pace with changing business needs. What began in SAP training centers in Germany has grown into a global certification program supporting learners, consultants, and organizations around the world.

This video looks back at the evolution of SAP Certification, from SAP R/3 to SAP S/4HANA and SAP Cloud ERP, and highlights how certification continues to support practical, career-ready expertise. With global access, digital badges, continuous validation, and modern assessments that are practical, AI-powered, and open book, SAP Certification helps professionals demonstrate skills that reflect real-world work.

Whether you’re building your SAP career, expanding your cloud ERP knowledge, or helping your organization stay ready for transformation, SAP Certification helps validate what you know, and prepare for what’s next.

Ready to validate your SAP skills and prepare for what’s next? Explore SAP Certification: https://sap.to/6054BHBqQn

Follow us on social:
LinkedIn: https://sap.to/6055BHBqQX
Instagram: https://sap.to/6056BHBqQk
Facebook: https://sap.to/6057BHBqQZ
Threads: https://sap.to/6058BHBqQw

About SAP:
As a global leader in enterprise applications and business AI, 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: https://sap.to/6059BHBqQb

#SAP #SAPCertification #DigitalSkills

Watch the full Success Connect 2026 keynote, live from Las Vegas. SAP leaders and customers reveal how Autonomous HCM is helping HR move from AI promise to measurable business outcomes, with live demos, customer perspectives, and new innovations across SAP SuccessFactors.

What you’ll see:
➡️ Autonomous HCM — the future of human capital management, where AI automates end-to-end processes, supports context-aware decisions, and helps optimize the workforce at scale
➡️ Joule for HR — AI-powered experiences that help resolve payroll issues, analyze skills gaps, update job architecture, and personalize learning journeys
➡️ SAP SuccessFactors innovations — new assistants and agents designed to automate operational work, redesign how work gets done, and reinvent workforce development
➡️ Workforce intelligence — how SAP’s intent to acquire TechWolf can strengthen skills intelligence with real-time insight into what people can do and what the business needs next
➡️ Customer proof points — IBM and SAP leaders discuss AI-first HR transformation, skills readiness, clean core, governance, and the future of work

Customers featured: IBM and SAP

Speakers: Lara Albert, Chief Marketing Officer, SAP SuccessFactors; Siva Sundaresan, GM and Chief Product Officer, SAP SuccessFactors; Rebecca Carr, President, HCM Products and CEO, SmartRecruiters, SAP; Nadja Ericsson, Customer Advisor, SAP Sweden; Gina Vargiu-Breuer, Chief People Officer and Labor Director, SAP SE; Jon Lester, VP HR Technology, IBM

Chapters:
0:00 — Opening: A new era for HR
1:35 — Business change becomes a workforce challenge
4:47 — SAP research on AI, work redesign, and HR capacity
7:41 — Automate, redesign, reinvent: Three priorities for HR
9:18 — Autonomous Enterprise and the role of business context
11:03 — SAP announces intent to acquire TechWolf
13:05 — What Autonomous HCM means for HR
15:07 — Live demo: Automating payroll issue resolution with Joule
18:37 — Live demo: Redesigning skills and job architecture
22:51 — Live demo: Reinventing learning and development
28:39 — Connecting HR outcomes across SAP SuccessFactors
33:06 — Vision demo: Workforce strategy to execution
39:23 — Why TechWolf matters to SAP SuccessFactors
42:38 — SAP SuccessFactors customer strategy for Autonomous HCM
45:16 — Customer panel with IBM and SAP
58:38 — Closing: Building the future of HR

Explore SAP SuccessFactors HCM:https://sap.to/6050BG2M7O

Follow us on social:
LinkedIn: https://sap.to/6050BG0v3M
Instagram: https://sap.to/6052BG0v3O
Facebook: https://sap.to/6053BG0v3P
Threads: https://sap.to/6054BG0v3u

About SAP:
As a global leader in enterprise applications and business AI, 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: https://sap.to/6055BG0v3R

#SAPSuccessFactors #AutonomousHCM #BusinessAI

A free learning journey, a two-hour tutorial, a four-hour live class, and a 700-page book can all claim to teach you SAP.

See how Al Hatab Foods uses SAP Business AI Platform to improve production, increase capacity utilization, and reduce waste.

Al Hatab Foods, a leading food company in Saudi Arabia, has grown from a bakery business into fresh meal production, with a goal of producing 1 million fresh meals per month while maintaining consistent taste, quality, and customer experience.

To support this new line of business, Al Hatab Foods needed better visibility into shop floor operations, faster decision-making, and a flexible technology foundation to connect data across SAP and non-SAP systems. Working with Körber Stellium, the company used SAP Business AI Platform, SAP HANA Cloud, and SAP Integration Suite to collect data from IoT devices, support digital manufacturing, and enable the customization needed for its greenfield factory.

The results: 85% capacity utilization, 35% waste reduction, and 25% production improvement. Hear how Al Hatab Foods is using SAP technology to improve operations, scale production, and build a more connected manufacturing environment.

Explore SAP Business AI Platform: https://sap.to/6054BGU6zu

Follow us on social:
LinkedIn: https://sap.to/6055BGU6zR
Instagram: https://sap.to/6056BGU6zr
Facebook: https://sap.to/6057BGU6zT
Threads: https://sap.to/6059BGU6zV

About SAP:
As a global leader in enterprise applications and business AI, 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: https://sap.to/6050BGU6zn

#BusinessAIPlatform #BusinessAI #CloudERP