Conversational AI Platforms

The conversational AI platform market is rapidly evolving with new tech trends around multimodality and agentic AI, as well as changing governance needs and M&A activity. This Magic Quadrant helps application leaders select platforms for enabling complex and scalable AI assistants and conversational AI agents.

Market Definition

Gartner defines conversational AI platforms (CAIPs) as platforms primarily used for developing applications simulating human conversation across multiple channels and on a mix of modalities such as text, voice and visual content. CAIPs leverage a composition of AI techniques, including classic natural language processing (NLP), and generative AI(GenAI) and agentic AI architectures. To support the building of conversational applications, CAIPs principally provide low-code and no-code coding options. Application areas include AI assistants and conversational AI agents.

Conversational AI platforms are designed to address the increasing demand for organizations to efficiently build, deploy and manage AI-driven conversational systems at scale, addressing the requirements of both employee experience and customer experience use cases. While they may offer some predefined AI assistants or AI agents that can be modified, the primary focus of a CAIP is to equip organizations with tools for building customized conversational AI applications. CAIPs typically embed specialized, dedicated and feature-rich tooling for language-specific NLP and multimodal interactions, as well as conversational flow building and analytics. By offering a unified environment that supports low-code and no-code development — and, in some cases, extends to pro-code and GenAI-assisted options —CAIPs empower technically savvy business users, including citizen developers, to create and orchestrate both customer-facing and internal AI assistants and conversational agents. Unlike AI engineering environments, which primarily serve AI engineers, software developers and data scientists, CAIPs are purpose-built for broad enterprise adoption, enabling strategic, scalable and organization wide conversational AI initiatives.

The centralized approach of CAIPs eliminates the fragmentation seen when conversational AI is embedded as targeted extensions within other enterprise applications or delivered as isolated GenAI-native solutions. CAIPs democratize conversational AI development, allowing multiple teams to collaborate and manage diverse initiatives from a single platform, and the organization to govern such activities and deliverables. This leads to more cohesive and efficient operations, as well as the agility to respond to evolving business requirements. Tangible outputs include streamlined deployment of AI-powered, customer experience-focused applications —such as text-based conversational AI agents and voice AI agents — and enhanced employee productivity through intelligent assistants. Additionally, some CAIPs may be able to facilitate the orchestration and integration of multiple conversational applications, whether built natively or with third-party technologies, ensuring seamless user experiences across channels and business functions.

Report 2026

Here is a summary of the vendors featured in the Gartner magic quadrant 2026 report.
For the full analysis and detailed insights, you can read the report here and view the magic quadrant graphic here.

Market Status Market Vendor
Leader Google
Leader Kore.ai
Leader SoundHound AI
Leader Salesforce
Visionary NICE Cognigy
Visionary Omilia
Visionary IBM
Niche Player PolyAI
Niche Player Sprinklr
Niche Player Avaamo
Niche Player Druid AI
Niche Player Yellow.ai
Challenger Netomi
Challenger Boost.ai
Challenger Oracle
Challenger Canonical

Report 2025

Here is a summary of the vendors featured in the Gartner magic quadrant 2025 report.
For the full analysis and detailed insights, you can read the report here and view the magic quadrant graphic here.

Market Status Market Vendor
Leader Kore.ai
Leader Google
Leader Cognigy
Leader Boost.ai
Visionary SoundHound AI
Visionary Omilia
Niche Player Avaamo
Niche Player LivePerson
Niche Player PolyAI
Niche Player Sprinklr
Challenger Yellow.ai
Challenger DRUID AI
Challenger IBM