Google in Gartner Magic Quadrant 2026 for Conversational AI
News | 20.07.2026
Customer Experience Automation Trends in the Gartner Report
Analyst firm Gartner has released the 2026 Gartner® Magic Quadrant™ for Conversational AI Platforms report.
The study evaluates software solutions designed to automate customer support, implement voice and text interfaces, and support complex enterprise workflows. Vendors were assessed using Gartner’s standard methodology across two core dimensions: Ability to Execute and Completeness of Vision.
As of July 2026, the report features the following vendor from the Softprom portfolio:
- Google (Google Cloud)
Key Technology Drivers in Conversational AI
According to analyst insights, the customer experience market in 2026 is defined by several core technological shifts:
- Implementation of native multimodal models capable of processing text, voice, and vision inputs concurrently without intermediate conversions;
- Transition from basic rule-based chatbots to agentic multi-agent orchestration for multi-step workflow execution;
- Infrastructure optimisation using custom hardware accelerators (TPUs) to minimise latency and reduce compute costs;
- Establishment of secure data pipelines connecting enterprise data sources directly to large language models (LLMs).

Google Cloud Positioning and Technical Strengths
In the evaluation matrix, Google achieved the highest overall position for Ability to Execute and was positioned furthest for Completeness of Vision within the Leaders quadrant.
Gartner analysts highlighted several architectural and functional advantages of Google Cloud:
- Gemini Multimodal Innovations: Integration of Google DeepMind research enables real-time processing of complex customer interactions while maintaining conversational context;
- Customer Experience Agent Studio: A specialised development environment within Gemini Enterprise for Customer Experience that simplifies designing and orchestrating autonomous AI agents;
- Proprietary Hardware and Cloud Infrastructure: Custom TPU processors and scalable cloud services provide processing power, fault tolerance, and simplified enterprise deployment;
- Extensive AI Operations: Comprehensive technical enablement, operational support, and training resources for enterprise clients and partners.
Global Market Landscape
The Gartner report also evaluated other international conversational AI providers (Kore.ai, SoundHound AI, Salesforce, NICE, Cognigy, IBM, Boost.ai, Netomi, Omilia, PolyAI, Sprinklr, Avaamo, Druid AI, Yellow.ai).
Softprom monitors international market developments to assist enterprises in selecting architectures aligned with their specific business goals.
Softprom Technical Expertise
Softprom is a Value Added Distributor and official partner of Google Cloud across Central and Eastern Europe, the Southern Caucasus, and Central Asia.
The Softprom engineering team provides end-to-end technical support, including architectural design, Proof-of-Concept (PoC) testing, cloud optimization, and enterprise AI deployment.
Conversational AI Implementation & FAQ
Native multimodal models process audio, text, and visual input without intermediate conversion stages, significantly reducing response latency and improving interaction accuracy.
It refers to an architecture where multiple specialized AI agents collaborate autonomously to resolve complex, multi-step business requests.
Organizations can engage with Softprom engineers to conduct architectural assessments and organize a Proof-of-Concept (PoC) implementation.