ALIBABA Cloud has once again been recognized as an emerging leader across all four quadrants in the latest Gartner “Innovation Guide for Generative AI” reports, published in November 2025. The reports evaluate the dynamic landscape of generative artificial intelligence providers, highlighting the visibility and robust capabilities of those categorized as emerging leaders.
“We believe our recognition as an emerging leader across the GenAI stack is a powerful validation of our integrated ‘AI + Cloud’ strategy,” stated Jingren Zhou, Chief Technology Officer of Alibaba Cloud Intelligence. He emphasized the company’s commitment to delivering a comprehensive ecosystem that empowers businesses to innovate in the rapidly evolving AI landscape.
The four quadrants examined in the Gartner reports include Generative AI Specialized Cloud Infrastructure, Generative AI Model Providers, Generative AI Engineering, and Generative AI Knowledge Management Apps. Alibaba Cloud’s offerings are positioned to address critical capabilities across these domains, according to the company.
The first quadrant, Generative AI Specialized Cloud Infrastructure, encompasses the necessary components for enabling AI and machine learning activities. Gartner defines this as high-performance computing, storage, and networking solutions essential for training and inference tasks. Alibaba Cloud stands out as the only provider in the Asia-Pacific region recognized as an emerging leader among global competitors.
In the second quadrant, Generative AI Model Providers, Alibaba’s proprietary Qwen model series, including the latest Qwen3, exemplifies its strength. The open-source Qwen models have garnered significant community support, evidenced by over 600 million downloads on platforms like Hugging Face and ModelScope, leading to the creation of more than 170,000 derivative models.
Alibaba’s Model Studio, an AI development platform, supports enterprises in fine-tuning, managing, and deploying models effectively, catering to over one million corporates and individuals. This platform facilitates the development of generative AI applications by utilizing a variety of large language models, including the Qwen family and visual-generation Wan models.
The third quadrant, Generative AI Engineering, focuses on technologies that manage the full model lifecycle, which is crucial for developing, refining, and deploying generative models. Alibaba Cloud’s Platform for AI (PAI) serves as a comprehensive machine learning and deep learning engineering platform. It simplifies the AI lifecycle for enterprises and developers, offering integrated solutions from data labeling and model building to model training and deployment.
The final quadrant, Generative AI Knowledge Management Apps, addresses technologies enabling companies to better retrieve and contextualize insights from their knowledge bases. Alibaba Cloud’s AI solutions facilitate the creation of enterprise-grade applications that leverage retrieval-augmented generation (RAG) and agentic AI to transform knowledge into actionable insights.
These innovations have accelerated AI deployment across various industries, from autonomous driving and smart healthcare to logistics and next-generation e-commerce. “We’re approaching GenAI holistically with a focus on how these technologies will be adopted and add value over time,” Zhou added, highlighting the pace of innovation and the tailored capabilities of Alibaba Cloud’s ecosystem.
This recognition marks a continuation of Alibaba Cloud’s trajectory; the company was also identified as an emerging leader in all four quadrants in last year’s Gartner “Innovation Guide for Generative AI Technologies” report. As the generative AI landscape evolves, Alibaba Cloud appears poised to maintain its leadership position while shaping the future of AI-driven business solutions.
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