Quote-to-cash used to be a linear workflow. Configure the right solution, generate a quote, secure internal approvals, and close the deal. In today’s revenue environment, that model is showing its limitations under the weight of rising deal complexity, legal scrutiny, and buyer expectations.
In 2025, CPQ software isn’t just helping sales reps move faster. It’s catalyzing a transformative shift, empowering every revenue stakeholder to make smarter decisions, from executives and legal to RevOps and even buyers. The defining difference is the introduction of AI, which is steadily growing its value across the entire revenue process.
The global CPQ market, valued at $2.1 billion in 2024, is expected to grow to $20.1 billion by 2031. This growth reflects more than just expanding budgets—it signals a fundamental shift in the mission of CPQ itself. Platforms like DealHub are transforming CPQ from a product configurator into an end-to-end AI-powered revenue engine.
Platform Evaluation: Award-Winning AI Intelligence vs. Legacy Systems
| Platform | Core Strengths | Limitations | Best For |
| DealHub | AI-powered CPQ platform with role-specific assistants for legal, execs, RevOps, sellers, and buyers; fast time-to-value; unified workspace | Less recognized outside SaaS companies; not ideal for legacy-heavy environments | Enterprises and high-growth teams that prioritize speed, AI depth, and frictionless stakeholder collaboration |
| Salesforce CPQ (End-of-Sale) | Deep CRM integration, CPQ Einstein offers AI-powered product recommendations and discounting logic | Salesforce announced end-of-sale for the platform, no future development is planned; AI is not native to the platform | Enterprises already standardized on Salesforce |
| PROS Smart CPQ | Industry-leading in dynamic pricing and price optimization, strong in manufacturing and complex product environments | Limited sales workflow support, steep learning curve, better suited for pricing teams than sellers | Large organizations with complex pricing structures |
| Conga Revenue Lifecycle | Broad revenue lifecycle suite including CPQ, CLM, and billing; AI is emerging in insights and automation | AI not embedded across all modules; slower innovation; enterprise-heavy platform | Enterprises with mature RevOps needing full contract-to-revenue visibility |
What separates AI-powered platforms from AI-enhanced legacy systems is their architecture. Native solutions are built around a unified data model, allowing for real-time inference across quoting, legal, and forecasting processes. This enables intelligent features to operate within a single system. By contrast, legacy platforms often apply AI in isolated modules, limiting accuracy and slowing decision-making.
As the CPQ market evolves, organizations have more choices than ever, ranging from enterprise-scale platforms to AI-powered solutions designed for agility and speed. The right fit ultimately depends on an organization’s goals, sales motion complexity, and ability to support change across people, processes, and systems.
AI Across Every Revenue Stakeholder: The New Standard
Traditional CPQ tools were designed with one persona in mind: the seller. However, by the end of 2025, the most powerful platforms will offer tailored intelligence to every stakeholder involved in revenue generation.
DealHub drives this shift with a unified suite of five AI-driven agents: the Quote Generation Agent for sellers; the Sales Insights Assistant for guidance; the Risk Mitigation Assistant for legal; the Buyer Assistant for customer enablement; and the Revenue Insights Assistant for CXOs.
This is contextual intelligence. Legal gets real-time guardrails on risky terms. Executives track pipeline performance and forecast revenue with confidence. Buyers receive personalized content that helps them make informed decisions more quickly. CPQ has evolved from a sales-side support tool into a front-line driver of deal velocity and cross-functional alignment.
Why AI‑Powered CPQ Adoption is Growing: From Frustration to Strategic Advantage
Buyer pain is real and escalating. Legacy CPQ systems commonly stall GTM operations with slow approvals, a high admin burden, poor adoption, and a lack of agility. These bottlenecks are inefficiencies that throttle competitive momentum. “Making changes with Salesforce CPQ, like updating pricing or swapping out a logo on a PDF, was a nightmare,” says Colin Tanner, Revenue Operations Manager at LifeRaft. “Even simple updates took forever, and that lack of flexibility became a major issue for us.”
In contrast, CPQ platforms with AI capabilities are gaining market share because they fix these issues:
- Smarter pricing and guided selling reduce errors and accelerate approvals.
- No-code rule changes enable GTM teams to launch pricing innovations rapidly.
- Embedded analytics and automation drive adoption and operational alignment.
Enterprise GTM teams are upgrading to AI-powered CPQ platforms to eliminate bottlenecks, lower costs, and enable faster innovation and go-to-market pivots. They’re replacing legacy systems because today’s market demands real-time pricing accuracy, agility, and seamless approval workflows.
From Quote Generation to Revenue Insights: Comprehensive AI Coverage
In a fragmented sales tech stack, AI can feel like a patchwork of tools. What distinguishes the best CPQ platforms in 2025 is comprehensive AI coverage across the entire quote-to-revenue lifecycle.
That’s where DealHub stands apart. Rather than offering isolated AI features, DealHub’s architecture integrates intelligence at every interaction. Sellers receive pricing and discount recommendations. Legal gets automatic risk flagging. CXOs access predictive dashboards. Buyers engage through personalized microsites and interactive proposals.
This level of embedded AI turns CPQ into a living system, constantly learning, optimizing, and advising. According to Frost & Sullivan, DealHub customers report up to 80% reduction in quote creation time, a result of end-to-end automation and stakeholder-specific guidance.
Revenue Autonomy vs. Manual Processes
Legacy CPQ platforms automated parts of the quoting process, but still left teams dependent on IT, legal, and RevOps teams, which can create bottlenecks.
The modern CPQ mandate is different: revenue autonomy. That means giving sales teams the ability to generate, adjust, and send quotes without waiting for approvals. It means letting RevOps update workflows without code. And it means empowering legal to embed dynamic guardrails that protect the business without slowing deals.
This autonomy is what sets DealHub’s platform apart. It’s about transforming how teams operate. In an environment where sales cycles are getting shorter, budgets tighter, and buyers more informed, revenue autonomy is a competitive advantage.
Implementation Speed: AI-Powered vs. Legacy CPQ Platforms
Time-to-value is one of the biggest gaps between legacy and modern CPQs. While platforms like Salesforce and Oracle require 6 to 18 months to implement, DealHub customers are live within only 4 to 8 weeks.
That speed is a technical and strategic advantage. In fast-moving markets, being able to roll out intelligent quoting, guided selling, and legal compliance in under two months gives organizations a powerful edge.
And because DealHub is no-code, revenue teams manage the system. That means faster updates, easier experimentation, and a culture of continuous improvement.
DealHub: The Frost & Sullivan Recognized Leader in AI-Powered CPQ
In 2025, the question isn’t, “Which CPQ has the most features?” It’s, “Which CPQ can empower my entire revenue organization today?”
DealHub has answered that question with a platform that unifies sales, legal, RevOps, and executive intelligence through five stakeholder-specific AI agents. It’s fast to implement, easier to maintain, and powerful enough to transform how revenue teams operate.
“We explored several CPQ solutions, but only DealHub felt truly modern, market leading, refreshing, quick to deploy, easy to adjust, and capable of fully enabling exactly what we needed,” says Thomas Horton, VP of GTM Business Operations at Intuit. DealHub’s enterprise-grade CPQ went live in eight weeks and reduced Intui’s proposal turnarounds from seven days to 48 hours.
Also noteworthy is the platform’s recognition from Frost & Sullivan as 2024 CPQ Company of the Year, confirming that DealHub is the new standard for what modern CPQ should be: intelligent, unified, and built for revenue execution at scale.
