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O Gartner® Critical Capabilities™ para CPaaS de 2026 foi lançado: O que isso significa para os líderes corporativos
If you’re evaluating CPaaS platforms right now, you’re asking a sharper set of questions than buyers asked even two years ago. Back then, the job was simple connectivity: finding the right APIs to trigger messages, send emails, or connect calls reliably. That’s no longer the bar.
As AI moves out of the sandbox and into live production, the game has changed. Today, enterprises are deploying autonomous AI agents that need to chat naturally over messaging, follow up smoothly and securely via voice, and preserve context across channels and regions. Our recent AI Production Paradox research found that 62% of enterprises already have AI communications agents in production, and 88% will in the next 12 months.
That’s why enterprise leaders are taking a much harder look at the underlying infrastructure today. When a platform has high latency, disconnected channels, or lacks proper enterprise guardrails, even the most sophisticated AI pilot can hit a wall in production. Our research found that 74% of enterprises have been forced to shut down or roll back a deployed AI agent due to governance failures.
For enterprise leaders, the main question isn’t just “who’s the market leader today?”, but also “Which platform’s infrastructure can actually handle the complexity of the use case we’re building today?”
And this is exactly what we feel the 2026 Gartner® Critical Capabilities™ for CPaaS is about.
Sinch scores highest two across all use cases in the 2026 Gartner® Critical CapabilitiesTM for CPaaS report
Published alongside the Magic Quadrant™, where Sinch was named a Leader this year for the fourth time running, the 2026 Gartner® Critical Capabilities™ for CPaaS report takes a deep dive into how providers perform across five critical enterprise realities.
In this year’s evaluation, Sinch consistently scored between 4.53 and 4.70 out of 5.0 across all five, ranking #1 for the Multinational Organizations Use Case.
We believe this recognition reflects our deep commitment to our mission: to build the most trusted foundation for intelligent customer communications in the AI era.
That consistency matters for your platform decision. To us, a high score in one use case tells you a vendor built one thing well, but scores this close together across all five tell you something different: the same foundation holds up no matter which way your needs grow. Whatever use case you’re investing in today, you won’t hit a wall when you expand into voice, video, or new regions tomorrow.
But the real test is production, so here’s how that foundation performs against real enterprise complexity.
- Basic Communications – 4.70 out of 5.0
Even the most cutting-edge AI deployments still rely on flawless, high-volume delivery for things like critical alerts, OTPs, and system fallbacks. AI-native MarTech platform Insider relies on this exact foundation to send over 500 million SMS messages a year across 45 countries. With a single API integration, they saw a 5% bump in delivery rates while easily handling quadrupled message volume.
- Conversational Customer Experience – 4.67 out of 5.0
Managing generative and agentic AI across channels takes robust enterprise guardrails. When iFood, a LATAM food delivery network, needed to scale driver support, they didn’t just build a simple chatbot. They deployed our conversational AI over WhatsApp to create an orchestrated workflow that fully automated 94.5% of support tickets, cutting delivery costs by 70% while keeping drivers happy (91% satisfaction rate).
- Multinational Organizations Use – 4.66 out of 5.0
Scaling globally means untangling a messy web of regional regulations and cross-border routing. Global manufacturer Mirka solved this fragmentation challenge by bringing 20 different global subsidiaries into a single omnichannel contact center. By integrating deeply with their SAP systems, they standardized the customer experience across borders.
- Advanced Voice Communications – 4.69 out of 5.0
Deploying AI voice agents requires ultra-low latency, Tier 1 network routing, and strict regulatory compliance. For Dutch MedTech provider MINDD, voice reliability is quite literally a matter of patient safety. Using our Voice API and Conversational AI, MINDD built an AI voice triage bot that interprets 70+ medical conditions in natural language, routes calls based on urgency, and seamlessly hands off structured data to human agents.
- Video – 4.53 out of 5.0
Standalone video creates friction. Today, enterprises use our native SDKs to embed HIPAA-compliant video directly into their own applications for telehealth, support, and collaboration, with the exact same security and identity controls that govern the rest of the platform.
Build on a foundation you can trust
For an enterprise buyer, consistent performance across use cases is the metric that provides true confidence in platform decisions. It’s evidence of a reliable, unified foundation that holds up wherever your immediate priority sits, and wherever it moves next.
Whether you need to consolidate complex multinational communications today or launch AI-driven conversational experiences tomorrow, the difference between a successful deployment that scales and a stalled pilot comes down to the foundation you’re building on.
At Sinch we’ve spent 25 years engineering the backbone of intelligent customer communications, and we’re here to support you at every step, from discovery to successful deployment, so you can stay live and focus on building the experiences your customers want.
Read the full 2026 Gartner® Critical Capabilities for CPaaS report here.
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Gartner, Critical Capabilities for Communications Platform as a Service, Ajit Patankar, Pankil Sheth, Lisa Unden-Farboud, 20 May 2026.
GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved.
Gartner does not endorse any vendor, product or service depicted in its research publications and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from Sinch.
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