Dreamforce 2025: Salesforce Enters the Agentic Era

Dreamforce 2025 marked a significant shift for Salesforce, as it moved beyond being a leading CRM platform to position itself as a full blown agentic powerhouse. This transition signals Salesforce's ambition to enable agentic enterprises—organizations that leverage AI agents, integrated systems, and data to achieve autonomous, intelligent operations. The main focus was on Agentforce 360, the companies new unified AI operating system, and a handful of new partnerships that signal a new era for the enterprise software landscape.

Agentforce 360 is positioned as an agent platform that enables orchestration, observability, and scaling of AI agents across enterprise systems. Salesforce is now looking to redefine how organisations think about AI deployment, data governance and platform extensibility, as it targets a $60 billion revenue goal and starts to push the boundaries of autonomous enterprise workflows. This push is powered by autonomous agents, which act as proactive, embedded components within workflows, driving efficiency and enterprise transformation.

Introduction to the Agentic Enterprise

The Agentic Enterprise represents a bold new paradigm in business transformation, harnessing the power of AI agents to elevate human potential and redefine how organizations operate. At its core, the Agentic Enterprise leverages Agentforce 360—a unified platform that seamlessly integrates humans, AI agents, applications, and enterprise data. This approach enables companies to deploy specialized AI agents that understand business language, collaborate with employees, and make context-aware decisions that drive growth and innovation.

Central to this model is a robust data infrastructure, anchored by Data Cloud (formerly Data Cloud), which activates enterprise data and provides a single source of truth for all customer interactions. By turning unstructured data into actionable insights through intelligent context, businesses empower autonomous AI agents to make informed decisions and take meaningful actions. The Agentforce platform extends low-code development, allowing organizations to create apps and deploy agents rapidly, while leveraging existing processes and integrating with third-party AI solutions.

One of the standout features of the Agentic Enterprise is the ability to embed conversational agents across every facet of the business—from sales and marketing to customer service and beyond. These conversational agents, built with tools like Agentforce Builder and Agentforce Voice, can interpret natural language, deliver relevant content, and provide real-time support, significantly boosting employee productivity and enhancing customer experiences. By allowing agents to operate with rich context and business logic, companies can ensure that every customer interaction is both personalized and efficient.

The versatility of the Agentic Enterprise extends across industries. In life sciences, Agentforce Life Sciences streamlines clinical trials and accelerates research. Retailers can leverage Agentforce Commerce to deliver personalized shopping experiences, while government agencies benefit from Agentforce Public Sector’s ability to improve citizen engagement and service delivery. Each solution is designed with enterprise-grade security, ensuring that company data remains protected while enabling real-time monitoring of agent behavior and performance.

Salesforce’s open ecosystem also empowers partners to extend its technology, creating industry-specific solutions that address unique business challenges. With the ability to turn unstructured data into actionable insights, deploy agents quickly, and maintain enterprise-grade security, the Agentic Enterprise is poised to transform how businesses create value, interact with customers, and unlock new levels of efficiency and innovation.

By embracing the Agentic Enterprise, organizations are not just adopting new technology—they are enabling a future where AI elevates human potential, drives operational excellence, and sets the stage for the next era of business growth.

Market Steady But Showing Signs of Strategic Acceleration

Cleveland Research gave us a rundown on the current state of the market, where partner ecosystems are pretty much on track to hit projections for 2025, with 5-10% growth. The US is outperforming the rest of the world, but at a slower rate than in previous years. Europe is being held back by economic woes, while hesitance over AI adoption is also an issue in that region. But, there are still some bright spots - Asia Pacific and Latin America are looking healthy.

Despite larger deals taking longer to close, partner pipelines do suggest a next 12 months which may see a bit of acceleration into 2026, driven by managed services, data readiness projects and AI governance frameworks. Consulting firms are having to adapt to a more competitive market and are instead looking at automation and outcome based pricing to drive margins and productivity. These strategies are specifically aimed at reducing operational costs and increasing efficiency for organizations.

Agentforce Momentum and Early Stage Adoption of Specialized AI Agents

Agentforce remains very central to Salesforce’s long term strategy. While proof of concept signings are on the rise, less than 10% of customers have actually scaled beyond pilots. Most companies are still experimenting with narrow applications like customer support, internal help desks and sales prospecting.

The agentforce service acts as a centralized command center for managing and monitoring a fleet of agents, supporting the transition from pilot programs to scalable deployments.

The barriers to expansion are well known: unclear pricing models, data readiness issues and compliance complexity. However, 2026 is expected to be the year when adoption starts to take off as Salesforce starts to showcase large enterprise success stories in manufacturing, financial services and the pharma industry. Global Systems Integrators are already building up managed service offerings around agentic AI - a sign that consumption is starting to move beyond the experimental stage.

The New Salesforce Data Cloud Revenue Playbook

At Analyst Day, Salesforce announced a bold target: a revenue of $60 billion by fiscal 2030 - that’s over 10% compound annual growth. This projection excludes the contribution from the upcoming Informatica acquisition, due to close in the coming quarters, and which is expected to be accretive within a year.

This growth is being driven by a change in how Salesforce measures success, with Net New Average Order Value (NNAOV) now tied directly to sales compensation and customer retention and expansion. Every Salesforce employee now has NNAOV linked incentives - a change designed to strengthen customer health and reduce churn.

Agentforce and Data Cloud already count 10,000 paying customers, up from 6,000 just 3 months ago, and Salesforce is predicting that number to double by the end of the year. The introduction of Agentic Enterprise License Agreements aims to remove consumption uncertainty, offering unlimited access to Agentforce and Data Cloud, in exchange for higher annual commitments. Salesforce believes many customers can expand their spend by 2 to 4 times as they adopt Agentforce across departments. Organizations can leverage existing processes to seamlessly integrate Agentforce, enabling them to maximize value and accelerate adoption across teams.

Key Dreamforce 2025 Announcements

The centrepiece announcement at Dreamforce 2025 was Agentforce 360, which unifies Salesforce’s core applications - Agentforce, Data 360, and Customer 360 - into a single platform for developing and managing enterprise AI agents. It includes a conversational development environment, where developers can use an agent script—a specialized scripting tool—to define complex agent behaviors and ensure reliable, enterprise-grade performance. The platform also features a hybrid reasoning engine that merges deterministic workflows with large language models, observability dashboards for compliance tracking, and a native voice layer for real time customer interactions. The new generation of accessible agents emphasizes user-friendly, dependable, and collaborative features, making it easier for businesses to integrate and interact with AI agents.

Data 360 (formerly Data Cloud) introduces Intelligent Context to help agents understand unstructured data like PDFs and diagrams, while also enabling agents to utilize structured data for improved accuracy and efficiency. Intelligent Context helps agents interpret business context from raw data to deliver personalized interactions. The platform highlights the importance of trusted data and data quality for reliable AI-driven operations and observability. MuleSoft Agent Fabric provides orchestration across different AI systems. Then there’s Agentforce Voice, a native voice technology capable of handling customer interactions through realistic speech synthesis integrated with leading CCaaS platforms.

Collaboration-wise, Slack continues to evolve into the command centre of enterprise work, serving as a platform where humans, agents, applications, and data connect in real time. New Slack-first apps allow users to access insights and perform tasks right in chat. Slack’s Channel Expert Agent provides real time knowledge search while the upgraded Slackbot now functions as a context aware assistant capable of summarising meetings, drafting responses and managing cross platform automations. These tools leverage conversational data and direct messages to provide context-aware responses. The model context protocol is a key API that enables secure access to conversational data for AI agents, unlocking richer, more accurate interactions. Slack also enables collaboration among other agents, both human and AI, to enhance workflow and customer service.

Strategic Partnerships Across the AI Ecosystem: Partners Extend Salesforce's Technology

Salesforce used Dreamforce to cement its position in the broader AI landscape through a number of partnerships. The expanded alliance with OpenAI allows customers to access Salesforce data and build Tableau visualisations directly within ChatGPT, introducing capabilities like Agentforce apps, Instant Checkout for commerce, and deeper Slack integration. These partnerships demonstrate how partners extend Salesforce's technology by customizing and implementing the platform across various industries with tailored solutions and services, enhancing its capabilities and reach.

Partnerships with Google and Anthropic broaden Salesforce’s reach across regulated industries and multimodal workflows. Gemini models are now embedded in Agentforce 360 and Google Workspace, while Claude is integrated for financial services, healthcare and cybersecurity clients. These collaborations illustrate Salesforce’s open approach to model choice - allowing enterprises to bring their own AI foundation models into the Agentforce environment.

Beyond AI: The Next Chapter for SaaS

Salesforce were pretty bold with their launch of Agentforce IT Service Desk - it’s clear theyre signalling some serious intent to muscle in on ServiceNow’s territory. And the desk itself is no joke - with the option to fire off IT requests via Slack or Teams, AI is already stepping in to sort out, escalate and fix issues all on its own. Elsewhere at Dreamforce 2025 the company gave a sneak peek at eVerse - a synthetic environment that lets you train AI agents in a realistic work scenario without having to worry about the data getting out. They’ve also got their hands on Apromore, a company that specialises in making sense of business processes - part of a bigger push to supercharge automation and performance tracking.

On Track for an Agentic Enterprise Revolution

The message from Salesforce at Dreamforce 2025 (held in San Francisco, the hub for technology innovation) was pretty clear: they’re convinced the future of SaaS is all about creating systems that can think for themselves. And as they sink more and more cash into automation, data and model-sharing, it looks like they’re setting themselves up as the glue that holds all the different parts of business automation—the central nervous system of enterprise systems. One of the biggest challenges is unifying disconnected data from various silos into a cohesive, actionable system, and Salesforce is addressing this by integrating data across platforms. Additionally, enabling standardized semantics ensures consistent data interpretation and terminology across tools like Tableau and Snowflake, making enterprise data more reliable and actionable.

As for right now—well, the tech is still really early days, but you can already see the groundwork is being laid for some seriously rapid growth. With 20,000 people already signed up to Agentforce by the end of the year, some big partnerships shaping up and a re-think of the way the company does licensing—Salesforce reckon they’re on the cusp of a whole new chapter in SaaS. Real world examples, such as Meta and Salesforce themselves, show how these innovations lead to cost savings, personalized experiences, and AI-driven insights. If it works out, it’s not just the Salesforce platform that will change—but the whole way businesses use tech to get stuff done.