Salesforce Impact Report

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

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Evaluating Salesforce's Foundational Layer capabilities across Artificial Intelligence, Cloud, Open-Source, and 2 more. Salesforce's highest score in this layer is Cloud (91), 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

Salesforce's Artificial Intelligence capabilities (score 61) include OpenAI, Databricks, and Hugging Face services.

Services

Tools

Concepts

Standards

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

Salesforce's Cloud capabilities (score 91) include Amazon Web Services, Microsoft Azure, and Google Cloud Platform services.

Services

Tools

Concepts

Standards

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

Salesforce's Open-Source capabilities (score 31) include GitHub, Bitbucket, and GitLab services.

Services

Tools

Concepts

Standards

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

Salesforce's Languages capabilities (score 31) include Bash, C#, and C++ languages.

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

Salesforce's Code capabilities (score 27) are demonstrated through GitHub, Bitbucket, and GitLab services.

Services

Tools

Concepts

Standards

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

Evaluating Salesforce's Retrieval & Grounding capabilities across Data, Databases, Virtualization, and 2 more. Salesforce's highest score in this layer is Data (79), 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

Salesforce's Data capabilities (score 79) include Snowflake, Tableau, and Power BI services.

Services

Tools

Concepts

Standards

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

Salesforce's Databases capabilities (score 22) include Teradata, SAP HANA, and SAP BW services.

Services

Tools

Concepts

Standards

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

Salesforce's Virtualization capabilities (score 14) span VMware, Citrix NetScaler, and Solaris Zones services.

Services

Tools

Salesforce's Virtualization score indicates early-stage investment, with VMware and Citrix NetScaler as the primary signals.

Salesforce's Specifications capabilities (score 8) span Application Programming Interfaces, Web Services, and API Managements concepts.

Concepts

Standards

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

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

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

Evaluating Salesforce's Customization & Adaptation capabilities across Data Pipelines, Model Registry & Versioning, Multimodal Infrastructure, and 1 more. Salesforce's highest score in this layer is Model Registry & Versioning (16), reflecting investment in this dimension.

Waves

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

Signals

Salesforce's Data Pipelines capabilities (score 9) are demonstrated through Informatica and Azure Data Factory services.

Services

Tools

Concepts

Salesforce's Data Pipelines score indicates early-stage investment, with Informatica and Azure Data Factory as the primary signals.

Salesforce's Model Registry & Versioning capabilities (score 16) include Databricks and Azure Machine Learning services.

Services

Tools

Concepts

Salesforce'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.

Salesforce's Multimodal Infrastructure capabilities (score 14) span OpenAI, Hugging Face, and Gemini services.

Services

Tools

Concepts

Salesforce's Multimodal Infrastructure score indicates early-stage investment, with OpenAI and Hugging Face as the primary signals.

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

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

Evaluating Salesforce's Efficiency & Specialization capabilities across Automation, Containers, Platform, and 1 more. Salesforce's highest score in this layer is Operations (52), 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

Salesforce's Automation capabilities (score 40) include ServiceNow, Amazon SageMaker, and Ansible Automation Platform services.

Services

Tools

Concepts

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

Salesforce's Containers capabilities (score 20) span Docker, Kubernetes, and Buildpacks tools.

Tools

Concepts

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

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

Services

Concepts

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

Salesforce's Operations capabilities (score 52) include ServiceNow, Datadog, and New Relic services.

Services

Tools

Concepts

Salesforce demonstrates strong Operations investment through ServiceNow and Datadog, indicating mature operations capabilities at enterprise scale.
Salesforce's Efficiency & Specialization investment reflects a mature and broad technology posture across this layer. Key platforms include ServiceNow, Amazon SageMaker, and Ansible Automation Platform.

Evaluating Salesforce's Productivity capabilities across Software As A Service (SaaS), Code, and Services. Salesforce's highest score in this layer is Services (182), reflecting investment in this dimension.

Waves

Coding Assistants Coding Assistants Copilots Copilots

Signals

Salesforce's Software As A Service (SaaS) capabilities (score 1) include BigCommerce, Slack, and HubSpot services.

Services

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

Salesforce's Code capabilities (score 27) are demonstrated through GitHub, Bitbucket, and GitLab services.

Services

Tools

Concepts

Standards

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

Salesforce's Services capabilities (score 182) span BigCommerce, Slack, and HubSpot services.

Services

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

Evaluating Salesforce's Integration & Interoperability capabilities across API, Integrations, Event-Driven, and 4 more. Salesforce's highest score in this layer is Integrations (28), reflecting investment in this dimension.

Waves

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

Signals

Salesforce's API capabilities (score 15) are demonstrated through Kong and MuleSoft services.

Services

Concepts

Standards

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

Salesforce's Integrations capabilities (score 28) include Informatica, Azure Data Factory, and MuleSoft services.

Services

Concepts

Standards

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

Salesforce's Event-Driven capabilities (score 7) include Apache Kafka, Kafka Connect, and Apache NiFi tools.

Tools

Concepts

Standards

Salesforce's Event-Driven score indicates early-stage investment, with Apache Kafka and Kafka Connect as the primary signals.

Salesforce's Patterns capabilities (score 13) include Spring, Spring Boot, and Spring Framework tools.

Tools

Concepts

Standards

Salesforce's Patterns score indicates early-stage investment, with Spring and Spring Boot as the primary signals.

Salesforce's Specifications capabilities (score 8) span Application Programming Interfaces, Web Services, and API Managements concepts.

Concepts

Standards

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

Salesforce's Apache capabilities (score 6) are demonstrated through Apache Spark, Apache Kafka, and Apache Airflow tools.

Tools

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

Salesforce's CNCF capabilities (score 19) include Kubernetes, Prometheus, and SPIRE tools.

Tools

Salesforce's CNCF investment is developing, with Kubernetes and Prometheus as the primary platforms, reflecting a growing but not yet fully mature posture.
Salesforce's Integration & Interoperability investment reflects growing capabilities with meaningful signals. Key platforms include Kong, MuleSoft, and Informatica.

Evaluating Salesforce's Statefulness capabilities across Observability, Governance, Security, and 1 more. Salesforce's highest score in this layer is Data (79), reflecting data platform depth.

Waves

Memory Systems Memory Systems

Signals

Salesforce's Observability capabilities (score 37) include Datadog, New Relic, and Splunk services.

Services

Tools

Concepts

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

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

Concepts

Standards

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

Salesforce's Security capabilities (score 35) span Cloudflare, Palo Alto Networks, and Citrix NetScaler services.

Services

Tools

Concepts

Standards

Salesforce's Security investment is developing, with Cloudflare and Palo Alto Networks as the primary platforms, reflecting a growing but not yet fully mature posture.

Salesforce's Data capabilities (score 79) include Snowflake, Tableau, and Power BI services.

Services

Tools

Concepts

Standards

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

Evaluating Salesforce's Measurement & Accountability capabilities across Testing & Quality, Observability, Developer Experience, and 1 more. Salesforce's highest score in this layer is ROI & Business Metrics (42), reflecting investment in this dimension.

Waves

Evaluation & Benchmarking Evaluation & Benchmarking

Signals

Salesforce's Testing & Quality capabilities (score 6) are demonstrated through SonarQube tools.

Tools

Concepts

Standards

Salesforce's Testing & Quality score indicates early-stage investment, with SonarQube as the primary signals.

Salesforce's Observability capabilities (score 37) include Datadog, New Relic, and Splunk services.

Services

Tools

Concepts

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

Salesforce's Developer Experience capabilities (score 14) span GitHub, GitLab, and Azure DevOps services.

Services

Tools

Concepts

Salesforce's Developer Experience score indicates early-stage investment, with GitHub and GitLab as the primary signals.

Salesforce's ROI & Business Metrics capabilities (score 42) are demonstrated through Tableau, Power BI, and Tableau Desktop services.

Services

Concepts

Salesforce'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.
Salesforce's Measurement & Accountability investment reflects growing capabilities with meaningful signals. Key platforms include Datadog, New Relic, and Splunk.

Evaluating Salesforce's Governance & Risk capabilities across Regulatory Posture, AI Review & Approval, Security, and 2 more. Salesforce's highest score in this layer is Security (35), reflecting security posture strength.

Waves

Governance & Compliance Governance & Compliance

Signals

Salesforce's Regulatory Posture capabilities (score 6) are demonstrated through Compliances and Legals concepts.

Concepts

Standards

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

Salesforce's AI Review & Approval capabilities (score 13) include OpenAI and Azure Machine Learning services.

Services

Tools

Concepts

Standards

Salesforce's AI Review & Approval score indicates early-stage investment, with OpenAI and Azure Machine Learning as the primary signals.

Salesforce's Security capabilities (score 35) span Cloudflare, Palo Alto Networks, and Citrix NetScaler services.

Services

Tools

Concepts

Standards

Salesforce's Security investment is developing, with Cloudflare and Palo Alto Networks as the primary platforms, reflecting a growing but not yet fully mature posture.

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

Concepts

Standards

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

Salesforce's Privacy & Data Rights capabilities (score 2) reflect investment in this dimension with limited specific signal data.

Standards

Salesforce's Privacy & Data Rights score indicates early-stage investment, with limited recorded tooling as the primary signals.
Salesforce's Governance & Risk investment reflects growing capabilities with meaningful signals. Key platforms include OpenAI, Azure Machine Learning, and Cloudflare.

Evaluating Salesforce's Economics & Sustainability capabilities across AI FinOps, Provider Strategy, Partnerships & Ecosystem, and 2 more. Salesforce'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

Salesforce's AI FinOps capabilities (score 7) include Amazon Web Services, Microsoft Azure, and Google Cloud Platform services.

Services

Concepts

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

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

Services

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

Salesforce's Partnerships & Ecosystem capabilities (score 10) include Salesforce, LinkedIn, and Microsoft services.

Services

Concepts

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

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

Services

Concepts

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

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

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

Evaluating Salesforce's Storytelling & Entertainment & Theater capabilities across Alignment, Standardization, Mergers & Acquisitions, and 1 more. Salesforce's highest score in this layer is Alignment (23), 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

Salesforce's Alignment capabilities (score 23) span Architectures, Digital Transformations, and Data Architectures concepts.

Concepts

Standards

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

Salesforce's Standardization capabilities (score 8) reflect investment in this dimension with limited specific signal data.

Standards

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

Salesforce's Mergers & Acquisitions capabilities (score 19) include M&AS concepts.

Concepts

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

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

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