What Extending SAP Looks Like in Finance and HR with SAP Build

See how SAP Build empowers finance and HR teams to personalize, automate, and extend SAP—no coding required.

Innovation doesn’t need to be complicated. With SAP Build, teams across finance and HR can extend SAP applications, automate processes, and design personalized experiences—all through a simple drag-and-drop interface.

This video shows what extending SAP looks like in real life—turning everyday challenges into opportunities for smarter, faster work:
– Finance: Replace manual fixed-asset approvals with automated, trackable workflows that speed up decision-making and reduce errors.
– HR: Create intuitive apps that extend SAP SuccessFactors, helping global HR teams simplify routine tasks, connect data, and enhance employee experience.

With pre-built templates, AI-enabled guidance, and seamless connectivity across the SAP ecosystem, SAP Build helps business users innovate without relying on heavy development resources. It’s designed to help you scale ideas into impact—while staying secure, compliant, and connected to your SAP landscape.

From process automation to app creation, SAP Build gives every team the power to deliver what matters most: better decisions, faster workflows, and more meaningful employee experiences.

00:00 – Introduction
00:22 – Extending SAP in Finance
01:05 – Automating Fixed Asset Approvals
01:45 – Extending SAP SuccessFactors in HR
02:30 – Custom Apps for Global Teams
03:15 – Personalization and Connectivity
03:50 – Innovation Made Simple with SAP Build
04:15 – Closing and Call to Action

Discover how SAP Build helps your teams extend and innovate faster: https://sap.to/6057AAPJH

#SAP #SAPBuild #BusinessAI

Demo: Introducing Assistants in Joule and Smarter Ways to Work with Business AI | SAP Connect

Meet the new Assistants in Joule, the next evolution in Business AI, which helps people work smarter, faster, and more intuitively across every enterprise function.

In this SAP Connect 2025 demo, see how the new Assistants in Joule bring the power of generative AI directly into business workflows. Built on SAP Business Technology Platform and powered by SAP Business AI, these contextual assistants understand your role, anticipate your needs, and deliver insights when and where you need them.

00:00 – Introduction to Joule Assistants
00:40 – Embedded AI in Action
02:15 – Joule for Finance and Planning
03:40 – Joule for Supply Chain Collaboration
05:10 – Joule for HR and Talent Experiences
06:20 – Real-Time Insights and Recommendations
07:15 – Key Takeaways and Next Steps

The demo showcases how the Assistants in Joule support key areas, including finance, supply chain, and HR, by automating tasks, generating recommendations, and helping teams make confident decisions in real time. From summarizing meetings to suggesting process optimizations, Assistant in Joule demonstrates how AI can empower every employee to focus on what matters most: creativity, strategy, and collaboration.

With embedded intelligence across SAP S/4HANA Cloud, SAP SuccessFactors, and SAP Ariba, Joule transforms the way work gets done — turning complexity into clarity and ideas into action.

Watch the full Opening Keynote: https://sap.to/6059AqsWB
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Explore SAP Business Suite: https://sap.to/6051AqsWD

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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/6056AqsWy

#SAPConnect #Joule #AI

Businessman Checking Data

SAP and Google Cloud Redefine Enterprise AI with Zero-Copy Data for Google BigQuery

Today, SAP and Google Cloud are expanding their long-standing data and analytics partnership with the launch of SAP Business Data Cloud Connect for Google BigQuery—a new capability introduced at the SAP Connect event in Las Vegas that simplifies access to mission-critical SAP data products from SAP Business Data Cloud through bidirectional, zero-copy sharing.

Deep research AI and role-based assistants, coupled with SAP Business Suite innovations, take efficiency to new heights

By connecting Google BigQuery, the autonomous data to AI platform with agentic capabilities, and SAP Business Data Cloud (SAP BDC), SAP and Google aim to help enterprises of all sizes gain more immediate access to trusted, business-ready data for enterprise analytics and AI across their platforms.

For decades, enterprise data and analytics have existed in separate worlds. Mission-critical business data, rich with semantic context, has been locked within transactional systems. Traditional extract, transform, load (ETL) processes create data replicas that are difficult to govern, quickly become stale, and prevent businesses from acting on real-time insights, ultimately hindering digital transformation.

Our SAP and Google partnership ends this compromise. By eliminating data replication and unifying the data landscape, SAP and Google Cloud are empowering businesses to build intelligent agents, automated workflows, and predictive insights that are directly grounded in live, trusted business information.

As the first hyperscaler to adopt SAP BDC Connect, SAP BDC Connect for Google BigQuery enables organizations to unlock the true potential of their data and applications with secure and rapid access to SAP’s semantically rich and governed data products at scale, without the delays and complexities of data replication and need for ETL pipelines. Customers can flexibly combine SAP data with their other enterprise data in BigQuery and vice-versa to innovate with leading analytics and agentic AI capabilities.

“SAP and Google Cloud have a long history of empowering global enterprises to harness the power of data and AI,” said Christian Klein, CEO of SAP SE. “Bringing together Google BigQuery and SAP Business Data Cloud gives our customers choice without compromise, enabling them to fast-track their analytics and AI initiatives.”

“Businesses are combining intelligence and automation into every aspect of their operations,” said Thomas Kurian, CEO of Google Cloud. “By uniting SAP Business Data Cloud with BigQuery and Gemini models, we’re making it easy for enterprises to build a unified data foundation that breaks down silos and unlocks a new class of AI agents and applications.”

Innovation with SAP data products and Google BigQuery

The centerpiece of this partnership is the new SAP Business Data Cloud Connect for Google BigQuery. This is a zero-copy data fabric that enables seamless access to SAP BDC’s semantically rich business data with Google’s powerful data and AI ecosystem, including Gemini models and the Vertex AI platform. The result is a modern platform for data, analytics, and AI that enables automated, cross-functional business processes.

This bi-directional integration helps to deliver an enterprise-grade offering for building and scaling AI. With SAP Business Data Cloud Connect for Google BigQuery, customers can:

  • Build grounded, trustworthy AI: Ensure the Google BigQuery AI models and agents operate on the most current and complete view of the business by accessing trusted semantically rich SAP data in real-time without copies.
  • Deploy autonomous agents: Build and deploy intelligent agents using Google Cloud’s Vertex AI and Gemini that can automate complex cross-functional processes—from supply chain optimization to financial forecasting.
  • Unleash deeper insights: Fuse SAP data through SAP BDC with unique, world-scale datasets only available on Google Cloud, like Google Maps geospatial data, Google Trends, and public datasets, to create unparalleled business context.
  • Reinvent analytics: Move beyond dashboards and reports. Enable anyone in the organization to ask complex questions on Google Cloud of their business data in natural language and get immediate, intelligent answers.

Availability

Google Cloud will offer customer and partner incentives that fast-track the adoption of these joint solutions, enabling an accelerated journey to AI-infused data transformations.

SAP Business Data Cloud is available today in Google Cloud regions across Asia Pacific, Europe, and the U.S., with more regions planned. SAP Business Data Cloud Connect for Google BigQuery is planned to be generally available in H1 2026.

In addition, SAP BW, private cloud edition, which is offered through SAP BDC, is supported in more than 40 Google Cloud regions, helping our customers meet critical data residency and compliance requirements.

SAP Connect: Experience live demos and real-world case studies, hear from SAP leadership, and connect with SAP experts, partners, and peers

Factory-X: How SAP Is Driving the Digitalization of Mechanical Engineering

With the Catena-X collaborative data ecosystem, the automotive industry has successfully demonstrated how sovereign data exchange works. Factory-X now transfers these proven principles to mechanical engineering—from the supply chain to the shop floor.

Europe faces a crucial challenge: while the region has been successful for decades with the principle of “quality over cost,” other continents are catching up in quality while also pursuing aggressive pricing strategies. “We must maintain quality while simultaneously reducing costs and becoming even more flexible in meeting our customers’ needs,” explains Georg Kube, head of Industry Data Ecosystems at SAP SE.

The answer may lie in the data that has been collected in German factories and SAP systems for decades. “Europe’s great asset compared to America and Asia is our historical knowledge of how good processes and good products work,” Kube says. “This systemic knowledge—how to machine, how to manufacture, how to set up the right processes—resides in European companies, typically in SAP systems.”

This data forms the foundation for data-driven business models based on the “data flywheel” principle: the more data that flows into a system, the more new data is generated—a self-reinforcing effect that can provide European companies with a decisive competitive advantage.

Manufacturing-X: Germany’s answer to global challenges

Factory-X is part of a larger vision: Manufacturing-X, an industry-wide initiative by the German government launched as part of the Industry 4.0 platform. The goal is to promote digital ecosystems and establish an international standard for data exchange.

Manufacturing-X is based on the fundamental principle of data sovereignty and addresses a classic dilemma: companies need data from others for digitalization but want to protect their own sensitive information. The solution is a legally and technically secured framework in which data can be shared in a controlled manner without owners losing control over it.

The initiative encompasses various industry-specific projects: Catena-X for the automotive industry was the pioneer, followed by Factory-X for mechanical engineering, Chem-X for the chemical industry, and Semiconductor-X for the semiconductor industry.

Overcome the challenges of disconnected, fragmented business processes by leveraging data from an industry network

From horizontal to vertical integration

While Catena-X revolutionized horizontal supply chain processes in the automotive industry, Factory-X goes a step further. “Factory-X extends the proven Catena-X concepts to additional industries and brings vertical integration down to the shop floor,” says Nadine Kanja, solution head for SAP Industry Network Automotive and Catena-X.

SAP shares consortium leadership for Factory-X with Siemens and coordinates the work of 47 consortium members. What’s special: while Catena-X viewed the factory as a single block, it’s at the center of Factory-X. “The shop floor is our central focus because that’s where machines with their own suppliers and maintenance requirements are located,” Kanja explains.

New use cases drive greater manufacturing flexibility

“The goal is to extend supply chain flexibility to the manufacturing area,” Kanja says. “When technical problems arise or customer needs change, manufacturers must be able to pivot quickly. However, factories aren’t exactly known for their flexibility—machines are permanently installed and hardwired. Rebuilding all of this is an enormous effort.”

This is exactly where Factory-X comes in. The initiative aims to bring flexibility directly into manufacturing—not just logistics—through new concepts like modular production, manufacturing as a service, and on-demand manufacturing. “This is an essential part of Factory-X: the flexibilization and automation of actual production processes,” Kanja explains.

Factory-X focuses on use cases that fall under the motto of “individualization and customer centricity.” These include:

  • Collaborative information logistics: Optimizing information flows between partners
  • Condition monitoring: Monitoring the condition of equipment and machines for proactive, data-based maintenance decisions
  • Modular production: Flexible production concepts for changing requirements
  • Manufacturing as a service: On-demand manufacturing through digital marketplaces

Concrete business benefits

The Factory-X use cases promise measurable improvements for various business models. Condition monitoring, for example, enables proactive maintenance instead of reactive repairs. This not only reduces production costs and downtime but also opens up new digital service revenues for machine manufacturers from their installed base.

Manufacturing as a service revolutionizes capacity utilization: production companies can automatically receive orders through digital marketplaces that match their capabilities and available capacities without extensive sales activities. Standardized data models even enable the economic production of individual pieces (“lot size 1”), which means individualization without cost disadvantages.

Another competitive advantage lies in access to new partners. Through the open data ecosystem, companies can collaborate with supply chain partners without needing existing business relationships, as standardized mechanisms make integration faster, more secure, and more cost-effective.

Technological innovation: MX-Port as key

Factory-X extends the Manufacturing-X initiative not only thematically but also technologically. In addition to the established Data Space protocols from Catena-X, Factory-X introduces the MX-Port concept, which additionally builds on the Asset Administration Shell (AAS) Framework and Open Platform Communications Unified Architecture (OPC-UA).

“The existing protocols have a relatively high technological overhead to negotiate each time who can see what,” Kube explains. “In mechanical engineering, there are many use cases where this is not necessary. Therefore, we supplement the existing protocols with a second one that has similar characteristics but with less overhead.”

This dual-technology strategy enables companies active in both the automotive industry and mechanical engineering to flexibly use the appropriate technology for each case.

The path to the future

Factory-X is designed as a development project until mid-2026 and will then transition into a stable operational phase. The vision is ambitious: a digital ecosystem that strengthens the competitiveness of European industry while enabling new data-driven business models.

“What we’re building in Factory-X can also be scaled to the other data spaces of Manufacturing-X,” Kanja explains. Mechanical engineering thus becomes a testing ground for a comprehensive transformation of European industry.


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Why attend #SAPConnect in 2025?

Join our newest flagship event #SAPConnect, in person or online! Discover new strategies, exchange ideas, and draw inspiration together. 👏

Why attend SAP Connect in 2025? Join our new annual event to:
Experience live demos and real-world case studies tailored to your industry and line of business.
Hear from SAP leadership on how SAP Business Suite gets real results for your organization.
Connect with SAP experts, partners, and peers to share insights and strategies.

Register now: https://sap.to/6058faeyw

Using AI for Transformative Supply Chain Planning from Farm to Table

As a global leader in the food industry, BRF is renowned for its commitment to quality and innovation. Recently, the food giant won the SAP Innovation Award in the category Cloud ERP Champion and Industry Leader with its supply chain management solution based on SAP Integrated Business Planning (SAP IBP).

By using AI and advanced analytics, BRF managed to improve forecast accuracy, optimized inventory, and fine-tuned planning. Collaborative forecasting and real-time data alignment now increase operational efficiency, enabling BRF to manage its extensive operations in over 127 countries and adapt quickly to changes in these markets. 

About BRF

Headquartered in Itajaí, Brazil, BRF owns well-known brands such as Sadia, Perdigão, and Qualy and employs nearly 100,000 people. The company’s dedication to sustainability and excellence has made it a trusted name in households around the world.

Project outcomes that scale

With 44 production units, 103 distribution centers delivering more than 500 million deliveries per month to more than 415,000 customers, representing 5 million tons of food produced per year, the scale of the achieved improvements is immense.

“BRF is transforming efficiency and productivity standards in the production chain, developing solutions that make processes more agile, simple, and efficient,” said Gilberto Andretta, executive technology manager at BRF. “We are one of the leading SAP IBP organizations achieving daily demand planning and sensing, statistical modeling, forecast accuracy and embedded analytics, time-series analysis, and exception management, which is integral for our more than 400 planners.”

By using SAP IBP, the process of accurately accessing and analyzing demand and forecast data is 33 percent faster.

Award-winning solution

For BRF, seeking innovative solutions is essential to advancing digital transformation and driving growth. The company considers the use of AI as fundamental to overcoming supply chain management challenges.

“The transformation of BRF’s supply chain through SAP solutions has made it easier to integrate processes, predict future trends, and respond quickly to market needs,” said Miriam Hahn, customer success manager for SAP Brazil, who is working with BRF on its supply chain journey. “This journey highlights the strong partnership between SAP and BRF.”

Using SAP Integrated Business Planning for Supply Chain, BRF can now analyze vast data sets, improve forecast accuracy, monitor order trends, and enable proactive decision-making.

Ensuring that forecasts and delivery deadlines are accurate requires detailed and flexible planning, enabling a quick response to changes, increasing operational efficiency and accuracy. Additionally, consolidating real-time information, aligning financial and operational planning, and improving interdepartmental collaboration are fundamental steps for BRF’s operation.

Use of artificial intelligence

BRF is a recognized early adopter of SAP Business AI and SAP’s AI copilot Joule. By integrating AI-driven insights, the food giant can accurately forecast demand, optimize inventory levels, and ensure timely delivery of products. This advanced technology helps BRF anticipate market trends, adjust production schedules, and reduce waste — ultimately leading to improved efficiency and customer satisfaction.

Within SAP IBP, BRF is utilizing demand planning and sensing, statistical modeling, forecast accuracy and embedded analytics, time-series analysis, and exception management. Examples where AI is improving the business include:

  • AI algorithms combine traditional time-series forecasting, regression and predictive modeling, and machine learning to produce more precise daily forecasts.
  • Used for master data analytics, AI intelligence improves data quality, enhances the planning processes, and supports better decision-making.

More to come

BRF is among the first customers to successfully incorporate SAP IBP with Joule to leverage the SAP Help Portal and a chatbot to assist BRF employees.

Currently, BRF is deploying a “brownfield” SAP S/4HANA Cloud implementation upgrade of the existing SAP ECC system based on its successful established SAP environment. The company is in the process of incorporating SAP S/4HANA Cloud features and capabilities, while retaining much of the existing infrastructure and core data services. In addition to SAP S/4HANA and the cloud-based SAP Ariba solution for procurement, BRF is also running SAP SuccessFactors software for human capital management (HCM).

“BRF is an early adopter for many of SAP’s AI services and our strategic partner in the region,” said Caio Granzotto, account director for BRF at SAP Brazil. “As a next step, they plan to use SAP IBP’s AI assistant to improve supply chain processes and simplify the work of their planners. The company is also considering order-based planning using additional AI algorithms.”

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Shaping a Skills-Led Future with Talent Intelligence in SAP SuccessFactors | SAP Runs SAP

Discover how SAP is pioneering the shift to a skills-led organization by moving beyond job titles and degrees to focus on the unique skills each employee brings. Hear from SAP leaders about the urgency of skills transformation, with more than 40% of skills expected to be disrupted in the next five years, and learn how SAP SuccessFactors and the Talent Intelligence Hub are powering this journey.

See how SAP is building a unified skills foundation, modernizing job architecture, and leveraging AI-driven tools like Growth Portfolio and SAP Business Data Cloud to deliver real-time skills insights, personalized learning, and strategic workforce planning. This approach empowers employees to take control of their development, supports internal mobility, and ensures SAP remains agile and competitive for the future.

Learn more: https://sap.to/60514na2J

0:00 – Why Skills Matter More Than Job Titles
0:32 – The Urgency of Skills Transformation
1:07 – SAP’s Unified Skills Foundation
1:32 – AI-Powered Skills Technology & Growth Portfolio
1:59 – Infusing Skills Across the Employee Lifecycle
2:30 – Real-Time Skills Insights with Business Data Cloud
2:43 – The Vision: Empowering Every Employee to Be Their Best

#SAPSuccessfactors #Talent #SkillsLed

Be Lenka & Amer Sports: Real-World GROW with SAP & RISE with SAP Journeys | SAP Sapphire Madrid 2025

Hear directly from Juraj Fehervari, CEO of Be Lenka, and Stefan Schubert, CIO of Amer Sports Group, as they share their transformation stories with GROW with SAP and RISE with SAP. Learn why these industry leaders chose SAP to scale globally, modernize operations, and enable innovation. Discover practical advice on building value, leading change, and overcoming the “gravity of legacy” for successful digital transformation.

0:08 – Customer Introductions
00:40 – Be Lenka: Why GROW with SAP
01:43 – Be Lenka: Scaling & Next Steps
02:31 – Amer Sports: Why RISE with SAP
04:13 – Amer Sports: Legacy & Transformation
05:35 – Customer Advice for Transformation

Watch the full Global keynote: https://youtu.be/XrJFgLoFeig
Watch all SAP Sapphire replays on demand: https://sap.to/6058NNSxy

#SAPSapphire #CustomerSuccess #AmerSports #BeLenka

From Digital Intelligence to Real-World Action: How SAP, NEURA Robotics, and NVIDIA Are Powering the Future of Physical AI

Enterprise AI has long been confined to software, whether to accelerate workflows, support decisions, or power intelligent automation. But the boundaries are expanding to the physical world. We’re now entering the era where software intelligence meets robotic autonomy, and businesses can drive efficiency, safety, and adaptability not only in digital processes, but also on the warehouse floor, in logistics hubs, and across industrial operations. In this world, AI agents don’t just guide work—they do the work, both digitally and physically.

At SAP, we’re collaborating with NEURA Robotics and NVIDIA to bring this future to life. Our goal is to make physical AI a reality for businesses across industries. By combining SAP’s business process intelligence, NEURA’s cognitive robots, and NVIDIA’s Omniverse Platform, we’re enabling a new class of autonomous physical agents that connect enterprise systems to real-world action.

Experience AI and agents that actually understand all your business processes and data

A convergence of intelligence, simulation, and execution

This next evolution of enterprise automation requires more than just robotics or AI in isolation. It’s about orchestrating data, reasoning, and motion end-to-end.

  • SAP’s Joule Agents, underpinned by SAP Business AI, serve as the cognitive layer, understanding enterprise context and directing workflows.
  • Mega NVIDIA Omniverse Blueprint enables teams to simulate and refine agent behavior in complex, realistic operational scenarios—before deployment.
  • NEURA’s cognitive robots then execute these tasks in the real world, with the ability to perceive, decide, and adapt as environments shift.

This tight integration creates a loop of continuous learning where each real-world action generates feedback to retrain and improve the performance of both agents and robots.

Real use cases, real value

This isn’t a future vision—it’s already happening. Early adopters are applying this innovation in manufacturing, retail, and logistics, where traditional automation falls short. For example:

  • Autonomous mobile robots (AMRs) can handle multi-step inventory tasks in dynamic retail environments.
  • Cognitive robots can assist with equipment inspections and repairs, reducing downtime in asset-intensive industries.
  • Physical agents can orchestrate movement of goods and materials in complex supply chains, all while staying connected to SAP core systems.

The result: faster execution, safer operations, and intelligent adaptation to real-world variability.

A shared vision to transform industry

Each partner in this collaboration brings a unique capability—and together, we’re enabling more than any one of us could alone.

“We are proud to bring the power of our cognitive robots into the partnership with SAP and to jointly take the next step towards automating real-world tasks,” said David Reger, CEO of NEURA Robotics. “Together, we are redefining what is possible and creating solutions that truly serve humans and transform industries.”

“With the Mega NVIDIA Omniverse Blueprint, enterprises can test and validate mixed robot fleets at scale, bridging the gap between digital simulation and reliable physical-world implementation,” said Mike Geyer, head of digital twins at NVIDIA.

This vision aligns closely with SAP’s mission to help the world run better and improve people’s lives—not just through better software, but by connecting data, intelligence, and physical action. The collaboration reflects a bold step forward: turning digital intelligence into autonomous execution at the edge, guided by business context and enterprise processes.

Looking ahead

The fusion of business AI, simulation technology, and cognitive robotics opens a new frontier—where enterprises can confidently extend automation beyond digital workflows into the physical world.

By shaping this new category of physical AI agents, SAP, NVIDIA, and NEURA Robotics are enabling businesses to reimagine what’s possible by creating a future where AI doesn’t just make decisions but also brings them to life.


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SAP Named a Leader in Sales Performance Management by IDC MarketScape

SAP has been named a Leader in the IDC MarketScape: Worldwide Sales Performance Management 2025 Vendor Assessment.* We believe this recognition reflects our continued focus on helping customers drive business outcomes with intelligent, integrated, and data-driven sales performance management (SPM) solutions.

Empower your sales team with the tools they need to create effective sales experiences

Sales organizations today are under pressure to hit ambitious targets while navigating constant market change. As the IDC MarketScape report notes, “According to IDC’s October 2024 Worldwide C-Suite Tech Survey, 39% of C-suite sales leaders identified SPM as their top technology initiative for the coming year (i.e., 2025).”

A modern SPM solution is not just about compensation; it’s about real-time visibility, accurate forecasting, and strategic sales planning.

Sales performance management solutions from SAP help businesses automate and streamline everything from incentive compensation and quota planning to territory management and AI-powered forecasting. By integrating sales data across systems and surfacing it through real-time dashboards and predictive insights, SAP helps organizations optimize sales operations and boost performance — without spreadsheets or manual workarounds.

Why SAP was named a Leader

The IDC MarketScape noted the following strengths for SAP:

  • “Comprehensive. SAP’s sales performance management software offers a comprehensive suite of tools for optimizing sales processes and driving revenue growth. Key strengths include seamless integration with other SAP systems, providing a unified platform for sales data and operations. SAP’s broad product portfolio and robust integration capabilities also enhance its end-to-end performance management capabilities and its market reach.”
  • “Industry expertise. SAP brings deep industry expertise to sales performance management, leveraging decades of experience across diverse sectors. Its solutions are tailored to meet the unique compensation challenges of highly regulated and complicated industries such as manufacturing, healthcare, and financial services.”
Source:  "IDC MarketScape: Worldwide Sales Performance Management 2025 Vendor Assessment", By Michelle Morgan, February 2025, IDC #US52419925
Source:  “IDC MarketScape: Worldwide Sales Performance Management 2025 Vendor Assessment”
By Michelle Morgan, February 2025, IDC #US52419925

IDC MarketScape vendor analysis model is designed to provide an overview of the competitive fitness of ICT 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 vendor’s position within a given market. The Capabilities score measures vendor product, go-to-market and business execution in the short-term. The Strategy score measures alignment of vendor strategies with customer requirements in a 3-5-year timeframe. Vendor market share is represented by the size of the circles. Vendor year-over-year growth rate relative to the given market is indicated by a plus, neutral or minus next to the vendor name.

Supporting sellers and strategy, together

SPM solutions from SAP support both sales leaders, with the tools to drive strategy and planning, and sales reps, by increasing trust, transparency, and motivation. From automated payouts to real-time quota tracking and intuitive performance dashboards, the solutions enable sellers to focus more on what they do best: selling.

Seeing the impact of sales performance management

Customers globally and across industries are modernizing their sales operations and driving better outcomes with SPM solutions from SAP.

Kyndryl, one of the world’s largest IT infrastructure services providers, recently adopted SPM solutions to replace manual, spreadsheet-based processes. With the implementation, the company has accelerated compensation cycles, improved transparency for sales reps, and streamlined its global operations.

Heartland Dental, the largest dental support organization in the U.S., turned to SAP to consolidate its compensation systems as it rapidly scaled. With SPM solutions, Heartland has gained improved accuracy, faster payouts, and greater agility in managing complex sales incentives across a growing network.

Looking ahead

As the sales performance management market rapidly evolves, SAP is committed to continuously innovating in areas like AI, scenario modeling, and sales forecasting so customers can stay ahead of the curve—and ahead of their quotas.

Read the IDC MarketScape excerpt here and learn more about sales performance management solutions from SAP here.


Rob Hartsough is general manager and senior vice president of SAP Sales Performance Management at SAP.

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*Doc #US52419925, February 2025

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