Aisera named a Leader
in the IDC MarketScape: Worldwide
General-Purpose Conversational AI Platforms
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According to the IDC MarketScape, “Consider Aisera when you are looking for an enterprise conversational AI platform with strong integration and customization capabilities. Aisera’s domain-specific conversational AI capabilities – including its library of prebuilt connectors and newer features powered by advanced AI (e.g., LLMs and agentic workflows) – can make the company a good choice for organizations that require more industry-tuned conversational AI solutions.”
With the world’s most mature purpose-built agentic AI platform, Aisera continues to redefine how to build, orchestrate and operationalize Aisera and third-party AI agents with protocols like A2A for agents and MCP for applications.
We believe this recognition is yet another validation of the enterprise-class agentic AI Aisera delivers – driving real business outcomes and measurable value.

Source: “IDC MarketScape: Worldwide General-Purpose Conversational AI Platforms 2025 Vendor Assessment”, By Hayley Sutherland, September 2025, Doc. #US52972625.
IDC MarketScape vendor analysis model is designed to provide an overview of the competitive fitness of ICT suppliers in a given market. The research methodology utilizes a rigorous scoring methodology based on both qualitative and quantitative criteria that results in a single graphical illustration of each vendor’s position within a given market. The Capabilities score measures vendor product, go-to-market and business execution in the short-term. The Strategy score measures alignment of vendor strategies with customer requirements in a 3-5 year timeframe. Vendor market share is represented by the size of the circles. Vendor year-over-year growth rate relative to the given market is indicated by a plus, neutral or minus next to the vendor name.
Delivering real-world business value
75%
Ticket auto-resolution rate
78%
Improved satisfaction
55%
Improved agent productivity
63%
Reduced operational costs















