ServiceNow vs. Salesforce Q3 Earnings: AI, Cloud, and Enterprise Adoption Insights

Comparative Analysis: ServiceNow vs. Salesforce – Latest Quarterly Earnings Highlights

1. AI Strategy

ServiceNow:

• AI is positioned as the core of ServiceNow’s platform evolution, with a focus on “Agentic AI” and intelligent agents working alongside humans to automate workflows and drive business transformation.
• The Now Assist suite is a key driver, with AI products on pace to exceed $0.5 billion in ACV this year and a target of $1 billion next year. Over 1,700 customers are live, and usage has grown 55x since May.
• ServiceNow emphasizes AI governance, security, and risk management, with its AI Control Tower gaining rapid adoption (deal volume quadrupled QoQ). The platform is designed to orchestrate and govern all AI assets across the enterprise.
• The company is integrating AI across IT, CRM, HR, and industry-specific workflows, with a hybrid pricing model (subscription plus consumption) that is well received by customers.

Salesforce:

• Salesforce’s AI strategy centers on the “Agentic Enterprise,” embedding agentic AI natively across all products (Sales, Service, Field, Marketing, Commerce, ITSM, etc.).
• The AgentForce platform and Data Cloud are central, with AI and data product lines growing 120% YoY and Data Cloud ARR reaching $1.2 billion. Over 6,000 paid AgentForce deals have closed in three quarters, with 60% of pilot customers moving to production.
• Salesforce is leveraging its long-standing Einstein AI platform, now enhanced by large language models, to deliver agentic capabilities that augment human work and automate routine tasks.
• The company is also focused on responsible AI, with investments in acquisitions (e.g., Convergence AI, Bluebirds) and a strong emphasis on data harmonization and accuracy.

2. Cloud Platform Evolution

ServiceNow:

• The platform is evolving into a unified AI-first system of action, integrating data, AI, and workflows across any cloud, model, or data source. ServiceNow partners with all major hyperscalers and foundation model providers.
• The Zurich release introduced innovations like vibe coding, Agentic playbooks, and enterprise-grade security, all aimed at unlocking Agentic AI value.
• ServiceNow’s architecture is designed for rapid deployment and integration, with 100+ prepackaged agentic workflows and a focus on cross-enterprise orchestration.
• The company is moving workloads to hyperscalers, driving operational efficiencies and margin expansion.

Salesforce:

• Salesforce is unifying its platform through Data Cloud, metadata, and agentic capabilities, creating a single agentic operating system that connects all apps, data, and agents.
• The platform supports massive data volumes (hundreds of petabytes) and is deeply integrated with Slack, making all products “Slack-first.”
• New product launches (AgentForce, Tableau Next, Marketing Cloud Next, ITSM) and certifications for government use are expanding the platform’s reach.
• Salesforce is evolving its pricing and go-to-market strategy, with flexible payment options and a focus on usage-based monetization.

3. Enterprise Adoption Trends

ServiceNow:

• Q3 saw 103 deals over $1 million in net new ACV, with 12 Now Assist deals over $1 million and one over $10 million. The number of customers generating $5M+ in ACV reached 553, and those at $50M+ grew 20% YoY.
• Adoption is broad-based across industries (transportation, retail, education, energy, government), with strong momentum in public sector and federal agencies.
• Customers like NVIDIA, AstraZeneca, Ulta Beauty, and Bell are highlighted for transformative AI deployments, with measurable efficiency gains (e.g., Lenovo resolving cases 35% faster, Bell automating 90% of dispatch tasks).
• Renewal rates remain high (97-98%), and the platform is seeing rapid expansion within existing accounts.

Salesforce:

• Net new bookings from $1M+ deals grew 26% YoY, with major wins across industries (Dell, Marriott, US Bank, US Army, Under Armour, William Sonoma, etc.).
• 40% of AgentForce new bookings are from existing customers expanding usage, and 60% of pilot customers are moving to production, indicating strong adoption and scaling.
• The platform is seeing rapid adoption in SMB and mid-market segments, as well as large enterprises and government. Data Cloud is now used by over half of the Fortune 500.
• Customers report significant efficiency gains (e.g., Under Armour doubled case deflection, Reddit reduced resolution times from 8.9 to 1.4 minutes, Penn Fed projects millions in annual savings).

Key Similarities and Differences

Conclusion

Both ServiceNow and Salesforce are aggressively embedding AI into their platforms, driving significant enterprise adoption and efficiency gains. ServiceNow differentiates with its focus on AI governance, agentic workflows, and rapid integration across any cloud, while Salesforce is leveraging its scale, unified data cloud, and agentic operating system to transform customer and employee experiences. Both are seeing strong momentum, but Salesforce’s breadth across segments and its deep integration with Slack and Data Cloud stand out, while ServiceNow’s rapid AI monetization and industry-specific solutions are notable strengths.