Duyuru • Sep 18

Salesforce Data Cloud Momentum Soars with Rising Adoption and New Innovation That Brings Trusted Data to Agentforce

Salesforce continues to build momentum with Data Cloud, the heartbeat of the Salesforce Platform and foundation of Agentforce. The growth is fueled by strong business demand for unified data to deliver more personalized, contextually relevant, and timely customer experiences across the Customer 360 applications, Flow, analytics and Agentforce, Salesforce’s suite of autonomous AI agents. Building on that momentum, Salesforce introduced several new Data Cloud innovations that advance an organization’s ability to transform the customer experience using data and AI. They include: additions to unstructured data support including native processing of audio and video content — such as webinars and calls — to unlock deeper customer insights; a standardized semantic data model that enables Agentforce Agents and humans to interpret and use data consistently; improved search capabilities that factor in customer context and allow for quicker information discovery; real-time data activations to respond instantly to changing customer needs; and additional data security and governance features to safeguard operations and prevent unnecessary data exposure. Data Cloud surfaces trusted customer data in all Salesforce Customer 360 applications, Agentforce, Flow, and analytics — creating a foundation for personalized customer experiences and real-time analytics, triggering data-driven actions and workflows, and safely driving AI across all Salesforce apps. With its zero-copy technology and MuleSoft connectors, Data Cloud can ingest data from hundreds of diverse data sources, including data lakes and warehouses. Its built-in vector database converts various data formats — PDFs, texts, calls, voicemails, often trapped in 90% of customer data — into readily usable data and harmonizes it with structured data to create comprehensive customer profiles that are stored as metadata in a unified data foundation. Because it's fully integrated in the Salesforce Platform, this metadata can flow seamlessly into any Salesforce application based on set governance policies. This gives every team a 360-degree view of the customer to power trusted AI and drive automation and analytics across every touchpoint — without compromising data security. Data Cloud provides the vital customer data that grounds Agentforce, making agents more contextually aware, knowledgeable, and adaptable to customer needs. New innovations and additions: Data Cloud customers now have access to new capabilities and enhancements that make data accessible and actionable across every Salesforce activation, including: Support for unstructured audio and video content: With 90% of customer data trapped in unstructured formats, businesses and AI can now analyze and extract customer data from previously inaccessible audio and video sources like customer calls, training sessions, product demos, feedback surveys, voicemails, and webinars. This content, now searchable, enriches customer profiles, reveals deeper intent behind customer preferences and behaviors, and improves Agentforce’s accuracy. Data Cloud connectivity ecosystem expansion: Building on Data Cloud’s promise to be open and extensible, organizations can bring their own data using additional pre-built Data Cloud connectors for apps like Square, Stripe, Meta, Splunk and more, adding to the rapidly growing connector ecosystem that already supports various data lakes, warehouses, and third-party systems. They can also tap into unstructured data from Google Drive, Microsoft SharePoint, Confluence, and Sitemap in Data Cloud using pre-built integrations provided with MuleSoft Direct for Data Cloud. This means data can be pulled in and unified from wherever customers interact, then used to power agentic experiences. Sub-second real-time layer: With 62% of IT leaders noting the need for real-time data to stay competitive, organizations can now ingest, unify, analyze, and act upon data in real-time across Salesforce. This powers Einstein Personalization, now built on Data Cloud, along with real-time AI recommendations, analytics, and automations to enable faster decision-making and instant personalization across customer touchpoints. Governance and security for trusted data and AI: To safeguard operations, manage governance at scale, and prevent exposure to unauthorized parties while using AI, these new features improve how structured and unstructured data are managed, protected, and securely shared with AI applications and across the platform. AI tagging and classification automate the labeling and organization of unstructured data per business policies. Data becomes consistent, governance is easier to apply, and both AI and users can easily search and analyze the data. Policy-based governance helps achieve access governance at scale by creating granular security policies that grant appropriate access to user groups based on tags, metadata, and user attributes. This simple experience ensures that users, including AI, can only access the data it’s permitted to see across the platform. Customer-managed keys allow organizations to manage their own encryption keys, ensuring data stays encrypted and secure regardless of how it’s used. Private Connect for Data Cloud enables organizations to safely share and integrate their data between Data Cloud and public cloud environments by establishing secure, direct network connections between them. This means data can be safely shared across network boundaries without compromising its integrity. Tableau Semantics: Organizations can organize data based on its meaning and relationships, creating a standardized semantic model that allows anyone to understand, use, and act upon data consistently, regardless of origin. Hybrid search: Organizations can find the most relevant information in the company’s knowledge base by combining semantic capabilities of vector search with the exact match capabilities of keyword search, which are critical to deal with specific domain terms like product names or acronyms. This makes it faster and easier to find information across any medium, such as PDFs, pictures, audios, and videos. Data Cloud One: Organizations can now connect multiple Salesforce orgs that may be siloed across different departments, regions or business units and extend all of Data Cloud’s functionalities across all Salesforce instances using a no-code, point-and-click setup. This allows them to create a single Data Cloud instance as the source of truth, enabling data sharing and actions, like automation, calculated insights, and more across all Salesforce orgs, without creating new Data Clouds for each org. A new data community: Salesforce also announced its new Datablazer community, an online platform to connect IT and business leaders, developers, and Data Cloud enthusiasts. It provides space to learn, share insights, and stay informed on the latest best practices, trends, and tools to maximize the value of data.

Toplam Hissedar Getirisi	9.4%
Gelecekteki Temettü Verimi	1.1%
Temettü Büyümesi	n/a
Bir sonraki temettü ödeme tarihi	n/a
Eski temettü tarihi	n/a
Hisse başına temettü	n/a
Ödeme oranı	21%

Segment	Temettü Verimi
Şirket (CRM)	1.0%
Pazarın Alt %25'i (CA)	1.7%
Pazarın En İyi %25'i (CA)	5.5%
Sektör Ortalaması (Software)	0.3%
Analist tahmini (CRM) (3 yıla kadar)	1.1%

Veri	Son Güncelleme (UTC saati)
Şirket Analizi	2026/05/18 23:27
Gün Sonu Hisse Fiyatı	2026/05/15 00:00
Kazançlar	2026/01/31
Yıllık Kazançlar	2026/01/31

Paket	Veri	Zaman Çerçevesi	Örnek ABD Kaynağı ^*
Şirket Finansalları	10 yıl	Gelir tablosu Nakit akış tablosu Bilanço	SEC Form 10-K SEC Form 10-Q
Analist Konsensüs Tahminleri	+3 yıl	Finansal tahminler Analist fiyat hedefleri	Analist Araştırma Raporları Blue Matrix
Piyasa Fiyatları	30 yıl	Hisse senedi fiyatları Temettüler, Bölünmeler ve Eylemler	ICE Piyasa Verileri SEC Form S-1
Sahiplik	10 yıl	En büyük hissedarlar İçeriden öğrenenlerin ticareti	SEC Form 4 SEC Form 13D
Yönetim	10 yıl	Liderlik ekibi Yönetim Kurulu	SEC Form 10-K SEC Form DEF 14A
Önemli Gelişmeler	10 yıl	Şirket duyuruları	SEC Form 8-K

Analist	Kurum
Kadambari Daptardar	Accountability Research Corporation
Adam Shepherd	Arete Research Services LLP
Joseph Bonner	Argus Research Company

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