SAP Impact Report

AI wave impact analysis for SAP — scoring investment depth across key technology layers, signals, services, tools, and concepts.

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Evaluating SAP's Foundational Layer capabilities across Artificial Intelligence, Cloud, Open-Source, and 2 more. SAP's highest score in this layer is Cloud (121), reflecting cloud infrastructure investment.

Waves

Large Language Models (LLMs) Large Language Models (LLMs) Generative Pre-trained Transformer (GPT) Generative Pre-trained Transformer (GPT) Open-Source LLMs Open-Source LLMs

Signals

SAP's Artificial Intelligence capabilities (score 70) include OpenAI, Databricks, and Hugging Face services.

SAP demonstrates strong Artificial Intelligence investment through OpenAI and Databricks, indicating mature artificial intelligence capabilities at enterprise scale.

SAP's Cloud capabilities (score 121) include Amazon Web Services, Microsoft Azure, and Google Cloud Platform services.

SAP demonstrates strong Cloud investment through Amazon Web Services and Microsoft Azure, indicating mature cloud capabilities at enterprise scale.

SAP's Open-Source capabilities (score 42) are demonstrated through GitHub, Bitbucket, and GitLab services.

SAP's Open-Source investment is developing, with GitHub and Bitbucket as the primary platforms, reflecting a growing but not yet fully mature posture.

SAP's Languages capabilities (score 45) are demonstrated through Bash, C#, and C++ languages.

SAP's Languages investment is developing, with limited recorded tooling as the primary platforms, reflecting a growing but not yet fully mature posture.

SAP's Code capabilities (score 40) include GitHub, Bitbucket, and GitLab services.

SAP's Code investment is developing, with GitHub and Bitbucket as the primary platforms, reflecting a growing but not yet fully mature posture.
SAP's Foundational Layer investment reflects a mature and broad technology posture across this layer. Key platforms include OpenAI, Databricks, and Hugging Face.

Evaluating SAP's Retrieval & Grounding capabilities across Data, Databases, Virtualization, and 2 more. SAP's highest score in this layer is Data (102), reflecting data platform depth.

Waves

Vector Databases Vector Databases Retrieval-Augmented Generation (RAG) Retrieval-Augmented Generation (RAG) Prompt Engineering Prompt Engineering Context Engineering Context Engineering

Signals

SAP's Data capabilities (score 102) are demonstrated through Snowflake, Tableau, and Power BI services.

SAP demonstrates strong Data investment through Snowflake and Tableau, indicating mature data capabilities at enterprise scale.

SAP's Databases capabilities (score 32) span SQL Server, Teradata, and SAP HANA services.

SAP's Databases investment is developing, with SQL Server and Teradata as the primary platforms, reflecting a growing but not yet fully mature posture.

SAP's Virtualization capabilities (score 22) include Citrix NetScaler and Solaris Zones services.

SAP's Virtualization investment is developing, with Citrix NetScaler and Solaris Zones as the primary platforms, reflecting a growing but not yet fully mature posture.

SAP's Specifications capabilities (score 11) span Application Programming Interfaces, Web Services, and API Managements concepts.

SAP's Specifications score indicates early-stage investment, with limited recorded tooling as the primary signals.

SAP's Context Engineering investment (score 0) indicates limited or no recorded activity in this dimension.

No recorded Context Engineering investment signals were found for SAP in the current dataset.
SAP's Retrieval & Grounding investment reflects a mature and broad technology posture across this layer. Key platforms include Snowflake, Tableau, and Power BI.

Evaluating SAP's Customization & Adaptation capabilities across Data Pipelines, Model Registry & Versioning, Multimodal Infrastructure, and 1 more. SAP's highest score in this layer is Model Registry & Versioning (18), reflecting investment in this dimension.

Waves

Fine-Tuning & Model Customization Fine-Tuning & Model Customization Multimodal AI Multimodal AI

Signals

SAP's Data Pipelines capabilities (score 12) are demonstrated through Informatica services.

SAP's Data Pipelines score indicates early-stage investment, with Informatica and Apache Spark as the primary signals.

SAP's Model Registry & Versioning capabilities (score 18) are demonstrated through Databricks and Azure Machine Learning services.

SAP's Model Registry & Versioning investment is developing, with Databricks and Azure Machine Learning as the primary platforms, reflecting a growing but not yet fully mature posture.

SAP's Multimodal Infrastructure capabilities (score 17) span OpenAI, Hugging Face, and Gemini services.

SAP's Multimodal Infrastructure investment is developing, with OpenAI and Hugging Face as the primary platforms, reflecting a growing but not yet fully mature posture.

SAP's Domain Specialization capabilities (score 2) reflect investment in this dimension with limited specific signal data.

SAP's Domain Specialization score indicates early-stage investment, with limited recorded tooling as the primary signals.
SAP's Customization & Adaptation investment reflects growing capabilities with meaningful signals. Key platforms include Informatica, Databricks, and Azure Machine Learning.

Evaluating SAP's Efficiency & Specialization capabilities across Automation, Containers, Platform, and 1 more. SAP's highest score in this layer is Operations (71), reflecting investment in this dimension.

Waves

Small Language Models (SLMs) Small Language Models (SLMs) Model Routing / Orchestration Model Routing / Orchestration Reasoning Models Reasoning Models

Signals

SAP's Automation capabilities (score 50) span ServiceNow, Microsoft PowerPoint, and GitHub Actions services.

SAP's Automation investment is developing, with ServiceNow and Microsoft PowerPoint as the primary platforms, reflecting a growing but not yet fully mature posture.

SAP's Containers capabilities (score 29) span Docker, Kubernetes, and Containerd tools.

SAP's Containers investment is developing, with Docker and Kubernetes as the primary platforms, reflecting a growing but not yet fully mature posture.

SAP's Platform capabilities (score 36) are demonstrated through ServiceNow, Salesforce, and Amazon Web Services services.

SAP's Platform investment is developing, with ServiceNow and Salesforce as the primary platforms, reflecting a growing but not yet fully mature posture.

SAP's Operations capabilities (score 71) span ServiceNow, Datadog, and New Relic services.

SAP demonstrates strong Operations investment through ServiceNow and Datadog, indicating mature operations capabilities at enterprise scale.
SAP's Efficiency & Specialization investment reflects a mature and broad technology posture across this layer. Key platforms include ServiceNow, Microsoft PowerPoint, and GitHub Actions.

Evaluating SAP's Productivity capabilities across Software As A Service (SaaS), Code, and Services. SAP's highest score in this layer is Services (228), reflecting investment in this dimension.

Waves

Coding Assistants Coding Assistants Copilots Copilots

Signals

SAP's Software As A Service (SaaS) capabilities (score 4) include BigCommerce, Slack, and HubSpot services.

SAP's Software As A Service (SaaS) score indicates early-stage investment, with BigCommerce and Slack as the primary signals.

SAP's Code capabilities (score 40) include GitHub, Bitbucket, and GitLab services.

SAP's Code investment is developing, with GitHub and Bitbucket as the primary platforms, reflecting a growing but not yet fully mature posture.

SAP's Services capabilities (score 228) are demonstrated through BigCommerce, Slack, and HubSpot services.

SAP demonstrates strong Services investment through BigCommerce and Slack, indicating mature services capabilities at enterprise scale.
SAP's Productivity investment reflects a mature and broad technology posture across this layer. Key platforms include BigCommerce, Slack, and HubSpot.

Evaluating SAP's Integration & Interoperability capabilities across API, Integrations, Event-Driven, and 4 more. SAP's highest score in this layer is CNCF (32), reflecting investment in this dimension.

Waves

MCP (Model Context Protocol) MCP (Model Context Protocol) Agents Agents Skills Skills

Signals

SAP's API capabilities (score 21) are demonstrated through Kong, MuleSoft, and Apigee services.

SAP's API investment is developing, with Kong and MuleSoft as the primary platforms, reflecting a growing but not yet fully mature posture.

SAP's Integrations capabilities (score 29) span Informatica, MuleSoft, and Oracle Integration services.

SAP's Integrations investment is developing, with Informatica and MuleSoft as the primary platforms, reflecting a growing but not yet fully mature posture.

SAP's Event-Driven capabilities (score 18) are demonstrated through Apache Kafka, Kafka Connect, and Spring Cloud Stream tools.

SAP's Event-Driven investment is developing, with Apache Kafka and Kafka Connect as the primary platforms, reflecting a growing but not yet fully mature posture.

SAP's Patterns capabilities (score 18) are demonstrated through Spring, Spring Boot, and Spring Framework tools.

SAP's Patterns investment is developing, with Spring and Spring Boot as the primary platforms, reflecting a growing but not yet fully mature posture.

SAP's Specifications capabilities (score 11) span Application Programming Interfaces, Web Services, and API Managements concepts.

SAP's Specifications score indicates early-stage investment, with limited recorded tooling as the primary signals.

SAP's Apache capabilities (score 10) include Apache Spark, Apache Kafka, and Apache Airflow tools.

SAP's Apache score indicates early-stage investment, with Apache Spark and Apache Kafka as the primary signals.

SAP's CNCF capabilities (score 32) span Kubernetes, Prometheus, and Envoy tools.

SAP's CNCF investment is developing, with Kubernetes and Prometheus as the primary platforms, reflecting a growing but not yet fully mature posture.
SAP's Integration & Interoperability investment reflects a mature and broad technology posture across this layer. Key platforms include Kong, MuleSoft, and Apigee.

Evaluating SAP's Statefulness capabilities across Observability, Governance, Security, and 1 more. SAP's highest score in this layer is Data (102), reflecting data platform depth.

Waves

Memory Systems Memory Systems

Signals

SAP's Observability capabilities (score 44) span Datadog, New Relic, and Splunk services.

SAP's Observability investment is developing, with Datadog and New Relic as the primary platforms, reflecting a growing but not yet fully mature posture.

SAP's Governance capabilities (score 21) are demonstrated through Compliances, Governances, and Risk Managements concepts.

SAP's Governance investment is developing, with limited recorded tooling as the primary platforms, reflecting a growing but not yet fully mature posture.

SAP's Security capabilities (score 54) are demonstrated through Cloudflare, Microsoft Defender, and Palo Alto Networks services.

SAP demonstrates strong Security investment through Cloudflare and Microsoft Defender, indicating mature security capabilities at enterprise scale.

SAP's Data capabilities (score 102) are demonstrated through Snowflake, Tableau, and Power BI services.

SAP demonstrates strong Data investment through Snowflake and Tableau, indicating mature data capabilities at enterprise scale.
SAP's Statefulness investment reflects a mature and broad technology posture across this layer. Key platforms include Datadog, New Relic, and Splunk.

Evaluating SAP's Measurement & Accountability capabilities across Testing & Quality, Observability, Developer Experience, and 1 more. SAP's highest score in this layer is ROI & Business Metrics (47), reflecting investment in this dimension.

Waves

Evaluation & Benchmarking Evaluation & Benchmarking

Signals

SAP's Testing & Quality capabilities (score 12) are demonstrated through Jest, JUnit, and Mockito tools.

SAP's Testing & Quality score indicates early-stage investment, with Jest and JUnit as the primary signals.

SAP's Observability capabilities (score 44) span Datadog, New Relic, and Splunk services.

SAP's Observability investment is developing, with Datadog and New Relic as the primary platforms, reflecting a growing but not yet fully mature posture.

SAP's Developer Experience capabilities (score 21) are demonstrated through GitHub, GitLab, and GitHub Actions services.

SAP's Developer Experience investment is developing, with GitHub and GitLab as the primary platforms, reflecting a growing but not yet fully mature posture.

SAP's ROI & Business Metrics capabilities (score 47) span Tableau, Power BI, and Tableau Desktop services.

SAP's ROI & Business Metrics investment is developing, with Tableau and Power BI as the primary platforms, reflecting a growing but not yet fully mature posture.
SAP's Measurement & Accountability investment reflects a mature and broad technology posture across this layer. Key platforms include Datadog, New Relic, and Splunk.

Evaluating SAP's Governance & Risk capabilities across Regulatory Posture, AI Review & Approval, Security, and 2 more. SAP's highest score in this layer is Security (54), reflecting security posture strength.

Waves

Governance & Compliance Governance & Compliance

Signals

SAP's Regulatory Posture capabilities (score 8) span Compliances, Regulatory Compliances, and Compliance Frameworks concepts.

SAP's Regulatory Posture score indicates early-stage investment, with limited recorded tooling as the primary signals.

SAP's AI Review & Approval capabilities (score 15) are demonstrated through OpenAI and Azure Machine Learning services.

SAP's AI Review & Approval investment is developing, with OpenAI and Azure Machine Learning as the primary platforms, reflecting a growing but not yet fully mature posture.

SAP's Security capabilities (score 54) are demonstrated through Cloudflare, Microsoft Defender, and Palo Alto Networks services.

SAP demonstrates strong Security investment through Cloudflare and Microsoft Defender, indicating mature security capabilities at enterprise scale.

SAP's Governance capabilities (score 21) are demonstrated through Compliances, Governances, and Risk Managements concepts.

SAP's Governance investment is developing, with limited recorded tooling as the primary platforms, reflecting a growing but not yet fully mature posture.

SAP's Privacy & Data Rights capabilities (score 3) are demonstrated through Data Protections concepts.

SAP's Privacy & Data Rights score indicates early-stage investment, with limited recorded tooling as the primary signals.
SAP's Governance & Risk investment reflects a mature and broad technology posture across this layer. Key platforms include OpenAI, Azure Machine Learning, and Cloudflare.

Evaluating SAP's Economics & Sustainability capabilities across AI FinOps, Provider Strategy, Partnerships & Ecosystem, and 2 more. SAP's highest score in this layer is Talent & Organizational Design (14), reflecting investment in this dimension.

Waves

Cost Economics & FinOps Cost Economics & FinOps Supply Chain & Dependency Risk Supply Chain & Dependency Risk Data Centers Data Centers

Signals

SAP's AI FinOps capabilities (score 5) span Amazon Web Services, Microsoft Azure, and Google Cloud Platform services.

SAP's AI FinOps score indicates early-stage investment, with Amazon Web Services and Microsoft Azure as the primary signals.

SAP's Provider Strategy capabilities (score 11) span Salesforce, Microsoft, and Amazon Web Services services.

SAP's Provider Strategy score indicates early-stage investment, with Salesforce and Microsoft as the primary signals.

SAP's Partnerships & Ecosystem capabilities (score 12) are demonstrated through Salesforce, LinkedIn, and Microsoft services.

SAP's Partnerships & Ecosystem score indicates early-stage investment, with Salesforce and LinkedIn as the primary signals.

SAP's Talent & Organizational Design capabilities (score 14) span LinkedIn, Workday, and PeopleSoft services.

SAP's Talent & Organizational Design score indicates early-stage investment, with LinkedIn and Workday as the primary signals.

SAP's Data Centers investment (score 0) indicates limited or no recorded activity in this dimension.

No recorded Data Centers investment signals were found for SAP in the current dataset.
SAP's Economics & Sustainability investment reflects growing capabilities with meaningful signals. Key platforms include Amazon Web Services, Microsoft Azure, and Google Cloud Platform.

Evaluating SAP's Storytelling & Entertainment & Theater capabilities across Alignment, Standardization, Mergers & Acquisitions, and 1 more. SAP's highest score in this layer is Alignment (29), reflecting investment in this dimension.

Waves

Moltbook Moltbook Gastown Gastown Ralph Wiggum Ralph Wiggum OpenClaw / Clawdbot OpenClaw / Clawdbot Artificial General Intelligence (AGI) Artificial General Intelligence (AGI)

Signals

SAP's Alignment capabilities (score 29) span Architectures, Digital Transformations, and Data Architectures concepts.

SAP's Alignment investment is developing, with limited recorded tooling as the primary platforms, reflecting a growing but not yet fully mature posture.

SAP's Standardization capabilities (score 12) reflect investment in this dimension with limited specific signal data.

SAP's Standardization score indicates early-stage investment, with limited recorded tooling as the primary signals.

SAP's Mergers & Acquisitions capabilities (score 21) are demonstrated through M&AS and Talent Acquisitions concepts.

SAP's Mergers & Acquisitions investment is developing, with limited recorded tooling as the primary platforms, reflecting a growing but not yet fully mature posture.

SAP's Experimentation & Prototyping investment (score 0) indicates limited or no recorded activity in this dimension.

No recorded Experimentation & Prototyping investment signals were found for SAP in the current dataset.
SAP's Storytelling & Entertainment & Theater investment reflects growing capabilities with meaningful signals. Key platforms include various platforms.